AWS Sagemaker Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Senior Engineer SaaS | Hyderabad, India Department: Engineering Employment Type: Full-Time Experience: 3+ Years Location: Hyderabad (On-site/Hybrid) Job Overview We are looking for a skilled Senior SaaS Engineer to join our dynamic engineering team in Hyderabad. In this role, you will be instrumental in transitioning ZL Tech s flagship products to a highly scalable, reliable, and performant SaaS platform. You will design and develop cloud-native microservices and work collaboratively across global teams to deliver high-quality software solutions. Key Responsibilities Collaborate with geographically distributed engineering teams to migrate and enhance applications into scalable, reliable, and high-performance SaaS architecture. Lead the transition from monolithic systems to microservices architecture ensuring modularity and scalability. Work closely with product managers, architects, and cross-functional teams to gather requirements and translate them into robust technical solutions. Develop and maintain RESTful APIs to support scalable service integrations. Build, deploy, and maintain containerized applications using Kubernetes and related container technologies. Implement and improve DevOps practices including CI/CD pipelines for faster and reliable software delivery. Operate effectively in a fast-paced environment while delivering quality code on schedule. Required Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related engineering discipline. Minimum of 3 years hands-on experience building large-scale distributed systems with a focus on scalability and reliability. At least 2 years of professional experience with Kubernetes and container orchestration platforms. Proven experience in cloud-native application development, preferably on platforms such as AWS, Azure, or GCP. Strong expertise in designing and building REST APIs for SaaS environments. Solid understanding of DevOps culture and practical experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar. Preferred Skills Experience with microservices frameworks such as Spring Boot, Node.js, or equivalent. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Knowledge of security best practices for SaaS applications and cloud infrastructure. Work on cutting-edge SaaS product development with a global engineering team. Grow your expertise in cloud-native technologies and microservices architectures. Opportunity to impact product design and lead innovations in scalable distributed systems. Competitive salary and benefits, with a focus on continuous learning and career growth. Apply today to be part of a forward-thinking company shaping the future of SaaS technology in Hyderabad! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related engineering discipline.

Position: Lead Full Stack Engineer Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary + Bonus + Medical Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by uniting front-line workers, back-office teams, and plant assets on a single connected worker platform. Our patented, Code-Free solution disrupts traditional, manual processes in maintenance, operations, and supply chain with highly configurable mobile apps and real-time visibility. Trusted by global giants like Newmont Mining, Shell, UNICEF, and Reckitt Benckiser, we help companies save millions by boosting asset uptime, productivity, and safety. With a massive $10 billion Total Addressable Market (TAM), where 97% remains untapped, Innovapptive is setting industry trends and shaping the connected worker market with visionary innovation. Backed by marquee investors Tiger Global Management and Vista Equity Partners, we are poised for exponential growth and impact. Join us to be part of a groundbreaking journey transforming how industrial operations work and improving the lives of millions of front-line workers worldwide. The Role: As a Lead Full Stack Engineer, you will design, develop, and maintain scalable web applications, working across front-end and back-end systems to ensure smooth integration. You ll engage in diverse projects spanning e-commerce platforms and data-driven applications, helping deliver exceptional user experiences. Key Responsibilities: Develop and maintain server-side applications using Node.js. Design and implement efficient and scalable APIs. Build and optimize databases using MongoDB, including data modeling. Develop responsive front-end components using Angular or React. Collaborate with UX/UI teams to create intuitive, visually appealing interfaces. Deploy and manage applications on AWS ensuring scalability and reliability. Optimize application performance, security, and user experience. Work closely with cross-functional teams to ensure project success and meet client goals. Stay abreast of emerging technologies and apply best practices in web development. What You Bring: Bachelor s degree in Computer Science or related field (or equivalent experience). 7+ years of proven full stack development experience with strong skills in Node.js, React.js or Angular.js, MongoDB, and AWS. Proficiency in either Angular or React for front-end development. Deep understanding of web development principles, design patterns, and best practices. Experience working with RESTful APIs and microservices architecture. Knowledge of version control systems, such as Git. Familiarity with DevOps practices and tools. Strong problem-solving skills with great attention to detail. Excellent communication and collaboration abilities. Comfortable working in an agile development environment. Energetic, passionate, and purpose-driven mindset. What We Offer: Competitive compensation package Exceptional health, vision, and dental benefits Positive, innovative, and collaborative work culture Entrepreneurial environment with unlimited growth potential Opportunity to work with global brands on impactful projects Generous vacation & paid time off Family medical insurance including spouse, children, and parents/in-laws Paid maternity and paternity leave Bi-annual performance reviews fostering transparency and growth OKR-driven performance culture Access to extensive e-learning resources (technical, product, process, etc.) Active interest groups and clubs (Book Reading, Toastmasters, Sports, Music, and more) Innovapptive is an equal opportunity employer committed to diversity and inclusion. Qualified candidates will receive consideration without regard to legally protected characteristics. Qualification : Bachelors degree in Computer Science or related field (or equivalent experience).

Position: Technical Consultant Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by uniting front-line workers, back-office teams, and assets on a patented, Code-Free connected worker platform integrated with SAP and IBM Maximo. Our mobile-first SaaS solutions digitize and automate traditionally paper-based maintenance, operations, and supply chain processes for some of the world s largest brands like Shell, UNICEF, and Reckitt Benckiser. Backed by Tiger Global Management and Vista Equity Partners, we re on a mission to empower 350 million industrial workers globally by improving productivity, safety, and operational excellence. Role Overview: We are seeking a Technical Consultant to collaborate closely with customers, product managers, and professional services teams. You will define integration architectures, guide SaaS adoption, and lead the design and implementation of scalable cloud and middleware solutions aligned with customer IT strategies. This role blends architecture, hands-on implementation, and cross-functional collaboration to deliver innovative industrial SaaS integrations. Key Responsibilities: Cloud Architecture & Solution Advisory Engage with customer architects/SMEs to design secure, scalable cloud deployments (AWS mandatory; Azure/GCP optional) Recommend best practices for SaaS adoption, API strategy, middleware, and cloud security Define and enforce architectural standards and governance Integration Solutioning Analyze ERP/CRM systems (SAP PM/MM, Maximo, Salesforce, Oracle) and design middleware integrations (CPI, BTP, MuleSoft, PI/PO, Dell Boomi) Lead integration planning and mapping workshops with clients ETL & Data Flow Enablement Architect ETL pipelines and data transformation rules ensuring clean, secure data flows Implement reliable data ingestion via APIs, OData, REST, SOAP, and event-driven methods Security, IAM & Compliance Implement best practices for data security including OAuth 2.0, OpenID, TLS/SSL, encryption (AES, RSA) Support identity federation (SSO, MFA, Azure AD, Okta) Ensure compliance with GDPR, CCPA, and other data privacy regulations Monitor security logs and support incident response Deployment & Customer Support Support solution deployment and post-go-live activities ensuring stability and performance Guide clients through testing, rollout, and knowledge transfer Collaboration & Enablement Serve as liaison between customers, product engineering, and delivery teams Provide enablement and training for client IT teams What You Bring: Bachelor s degree in Computer Science, IT, or related field 5-8 years experience in Enterprise SaaS Integration and Cloud Architecture Experience integrating SaaS with ERP/CRM systems (SAP PM/MM, Maximo, Oracle, Salesforce) Expertise in REST/OData/SOAP web services, middleware (CPI/BTP/MuleSoft/ESB), and scripting Hands-on experience with AWS (mandatory), Azure or GCP Strong knowledge of networking/security protocols (HTTPS, IPsec, TLS), IAM (SSO, MFA), API management Familiarity with integration/security tools (Postman, Swagger, Wireshark, Fiddler) Knowledge of encryption, data privacy laws, and secure API endpoint management Bonus: SAP backend experience, SMP SDK, SAP HANA, TOGAF certification, mobile field ops solutions, Connected Worker tech Startup mindset: adaptable, proactive, results-driven Soft Skills: Strong problem-solving and analytical thinking Excellent communication and client-facing skills Passion for innovation, customer success, and digital transformation Willingness to travel to client sites as needed Work with a highly innovative team and cutting-edge technology Grow your career in a fast-paced, entrepreneurial environment Collaborate with global brands on impactful projects Competitive salary and comprehensive benefits including medical insurance for family, paid parental leave, and generous PTO Continuous learning and development opportunities Inclusive and diverse workplace culture Innovapptive does not accept unsolicited resumes from recruitment firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to protected characteristics under applicable laws. Qualification : Bachelors degree in Computer Science, IT, or related field.

Job Title: Principal Engineer Java Location: Hyderabad, India About Kanerika Kanerika Inc. is a leading global software products and services company focused on empowering data-driven enterprises. Co-founded by Wharton alumni, we specialize in helping organizations achieve digital transformation through innovative, custom-built solutions that optimize operations, enhance customer experiences, and fuel business growth. Awards & Recognitions Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India Recognized for data security excellence with ISO 27701, SOC 2, and GDPR compliance Position Overview We are looking for a highly skilled Principal Engineer Java to join our dynamic team in Hyderabad. In this role, you will lead the design, architecture, and development of scalable enterprise applications. You ll collaborate with cross-functional teams to deliver high-quality, mission-critical software that meets business goals. What You ll Do Architect, design, and implement complex enterprise-grade applications using Java and related technologies. Build and maintain RESTful APIs using Spring Boot, Spring Framework, and Spring DI/AOP. Work with databases such as Oracle, PostgreSQL, MySQL, or SQL Server. Integrate real-time messaging systems (e.g., Apache Kafka) for scalable event-driven architecture. Develop and deploy microservices in containerized environments. Utilize cloud platforms (AWS, Azure) for scalable application hosting. Apply Agile methodologies with a strong focus on code quality, testing, and standards. Manage source control and CI/CD pipelines using GitLab, Jenkins, and other DevOps tools. Mentor junior engineers and contribute to technical leadership and decision-making. What You ll Bring Bachelor s degree in Computer Science, Engineering, or related field. 5+ years of experience in Java/J2EE development with increasing levels of responsibility. Strong hands-on experience with: Spring Boot and Microservices architecture Real-time integration using Kafka or equivalent frameworks RDBMS like Oracle, SQL Server, or PostgreSQL Working knowledge of cloud services, containers, and DevOps tooling. Excellent problem-solving skills, high EQ and IQ, and the ability to lead by example. We re more than just a workplace we re a community where innovation, diversity, and professional growth are valued. Employee Benefits Culture & Work Environment Open Door Policy & Flat Hierarchies Collaborative Open Office Layout Flexible Working Hours Biannual Performance Appraisals Employee Referral Program Health & Wellness Health & Life Insurance (GMC, Term, Disability) Wellness Initiatives and Support Family & Parental Support Generous Parental and Family Medical Leave Company-Sponsored Family Events Time-Off & Perks Generous Paid Time Off (above industry average) Paid Sick Days, Holidays & Bereavement Leave Gratuity and Provident Fund Regular Team Outings Learning & Development Access to FLEX Enterprise Learning Repository Mentorship & Career Growth Programs Professional Certification Reimbursements Strong "Promote from Within" Culture Join Us Become part of a company that is redefining enterprise solutions. At Kanerika, your ideas matter, your growth is nurtured, and your contributions create lasting impact. Qualification : Bachelors degree in Computer Science, Engineering, or related field.

Job Title: AWS Administrator Location: Hyderabad, India Experience: 5+ Years Job Type: Full Time Job Overview We are seeking a highly skilled and versatile AWS Infrastructure & Systems Administrator with strong expertise in AWS cloud services, MS SQL Server DBA, and Windows/Linux system administration. This role also requires working knowledge of Redis and IIS web server environments. You will be responsible for ensuring the reliability, performance, and scalability of our cloud infrastructure and system architecture in a complex, multi-platform environment. Key Responsibilities AWS Infrastructure Management Design, deploy, and manage core AWS services (EC2, S3, IAM, VPC, etc.). Implement best practices for provisioning, monitoring, and cost optimization. Manage IAM roles, policies, encryption, and security best practices. Handle backups, snapshots, and disaster recovery across AWS services. Monitor system performance and utilization using AWS CloudWatch and other tools. Windows and Linux Administration Administer and maintain Windows Server and Ubuntu-based Linux systems. Perform system updates, security patching, and hardening. Monitor system health, availability, and troubleshoot OS-level issues. Automate administrative tasks using scripting (PowerShell, Bash, or Python). Manage user access, system policies, and event log monitoring. MS SQL Server DBA Responsibilities Monitor database performance (CPU, memory, I/O utilization) and query optimization. Analyze and resolve blocking, deadlocks, and contention in TempDB. Manage space, track database growth trends, and schedule backups. Validate backups with periodic test restores. Configure alerts and analyze SQL error logs for proactive issue handling. Redis Administration Monitor and optimize Redis performance (memory, latency, traffic). Manage Redis configurations and implement sharding/clustering as required. Analyze and resolve slow commands or data structure bottlenecks. IIS Administration Monitor IIS worker process performance and application pool health. Analyze request throughput, traffic patterns, and security events. Optimize configuration for reliability, load handling, and speed. Troubleshoot using logs and performance counters. Required Skills & Qualifications 5+ years of experience managing AWS infrastructure and cloud environments. 3+ years of hands-on experience as a SQL Server DBA in a production setup. Solid expertise in Windows Server and Linux (Ubuntu) system administration. Practical experience with Redis and IIS web server administration. Proficiency in automation/scripting (PowerShell, Bash, or Python). Experience with monitoring tools: CloudWatch, Grafana, Prometheus, SQL Profiler, etc. Sound understanding of networking, firewalls, and load balancing. Preferred Certifications AWS Certified SysOps Administrator or AWS Solutions Architect Microsoft Certified: Azure Database Administrator Associate (optional) RHCSA or Microsoft Certified: Windows Server Administration Fundamentals Soft Skills Strong analytical and troubleshooting abilities. Excellent verbal and written communication. Ability to work both independently and collaboratively. Detail-oriented with strong documentation and reporting skills.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Backend Developer (Python + AWS) Experience: 5-8 Years Location: Hyderabad About Us: We are a cutting-edge technology company looking for an experienced Backend Developer (Python + AWS) to join our dynamic team. If you are passionate about backend development, have a strong expertise in Python, Django, and AWS, and want to work on innovative projects, we want to hear from you! Responsibilities: Backend Development: Design, develop, test, and deploy high-quality backend services using Python and Django. Develop robust RESTful APIs to facilitate communication between the frontend and microservices. Ensure seamless integration and data exchange between backend services and frontend applications. Collaboration: Work closely with the frontend development team to integrate backend services with the UI effectively. Collaborate with the Data Engineering team to design and implement data pipelines and storage solutions. Database Management: Develop and maintain database schemas, ensuring data consistency, integrity, and optimized performance. Troubleshooting & Debugging: Troubleshoot and debug complex issues in backend services and APIs, ensuring smooth and efficient operations. Code Quality & Best Practices: Participate in code reviews and ensure that the team adheres to high coding standards and best practices. Stay up-to-date with the latest trends and technologies in backend development and apply them to improve system efficiency. DevOps Collaboration: Collaborate with the DevOps team for smooth deployment and monitoring of backend services. Feature Implementation & Documentation: Contribute to the design and implementation of new features and functionalities. Develop and maintain clear and concise technical documentation and guides for backend services. QA Collaboration: Work closely with the QA team to ensure thorough testing, validation, and quality assurance of backend services. Task Planning: Participate in the planning and prioritization of project tasks and deliverables to ensure smooth progress. Requirements: Primary Skills: Backend Services Programming in Python Extensive experience with backend programming using Python. Django Framework: Experience working with Django for developing backend services. RESTful APIs: Solid experience in building and maintaining RESTful APIs. AWS Services: Proficiency with AWS Services such as S3, Lambda, EC2/ECS, IAM, and DynamoDB for cloud-based applications. Database Management: Strong experience in managing databases, schema design, and ensuring data consistency and integrity. Experience: 5+ years of experience in backend development with a focus on Python and AWS services. Additional Skills: Strong problem-solving skills and the ability to debug complex issues. Effective communication skills and ability to work well in a collaborative, team-oriented environment. Can-do attitude with a passion for developing scalable software solutions. A B.Sc. in Computer Science or related fields (or equivalent experience). Innovative Environment: Work on groundbreaking projects using the latest technologies in the backend development space. Collaborative Team Culture: Be part of a team that values open communication and collaboration. Career Growth: Opportunities to learn, grow, and advance your career with continuous skill development and training. Competitive Benefits: We offer competitive compensation and a comprehensive benefits package to support your well-being. Apply Today! If you re a skilled Backend Developer with a passion for Python, AWS, and backend technologies, we encourage you to apply and join our growing team! Qualification : A B.Sc. in Computer Science or related fields (or equivalent experience).

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

AWS Cloud Admin Data Science Team We are seeking an experienced AWS Cloud Admin to join our Data Science Team. The ideal candidate will have 5 to 8 years of experience in managing AWS cloud infrastructure. The AWS Cloud Admin will be responsible for ensuring the reliability, security, and performance of our cloud environment to enable us to efficiently analyze and derive insights from large datasets. Key Responsibilities: Manage and monitor AWS services, including EC2, S3, RDS, and Redshift. Implement and maintain security best practices for AWS environments. Troubleshoot and resolve issues related to AWS infrastructure. Collaborate with data scientists and engineers to optimize AWS resources for data processing and analysis. Implement automation and scripting solutions to streamline AWS administration tasks. Stay up-to-date on AWS best practices and new features to continuously improve our cloud infrastructure. Qualifications: Experience: 4+ years of experience in cloud infrastructure management, with at least 2 years focusing on AWS services. In-depth knowledge of AWS services including EC2, S3, Lambda, RDS, SQS, SNS, IAM, CloudWatch, Redshift, and SageMaker. Strong experience in automation and configuration management tools such as Terraform, CloudFormation, or Ansible. Knowledge of cloud security best practices, including managing IAM roles and policies, encryption, and data protection in the cloud. Proficiency in Python, Bash, or other scripting languages for automation tasks. Experience with AWS CloudWatch, CloudTrail, and other monitoring tools for analyzing logs, alerts, and resource performance. Nice to Have: Experience on Azure DevOps.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Angular & C# Developer Role Overview: We are seeking a talented and motivated Angular & C# Developer to join our innovative development team. The ideal candidate will have strong experience with HTML, JavaScript, Angular 15+, TypeScript, AngularJS, and C#. As part of our team, you will contribute to developing and maintaining high-quality web applications, ensuring an exceptional user experience, and collaborating closely with backend developers and designers. Key Responsibilities: Frontend Development (Angular): Design and build responsive, dynamic user interfaces using Angular, following best practices for usability and performance. Develop reusable, maintainable components to streamline application development. Implement two-way data binding, reactive forms, and leverage Angular directives for managing dynamic content. Optimize performance with techniques like lazy loading, change detection strategies, and asset minification. Write unit tests for Angular components using testing frameworks such as Jasmine and Karma. Backend Development (C#/.NET): Build RESTful APIs or gRPC services using ASP.NET Core or the .NET Framework for seamless communication between front-end and back-end. Implement CRUD operations with databases (e.g., SQL Server, CosmosDB) using Entity Framework for efficient data handling. Write clean, scalable, and maintainable business logic that supports application functionality. Integrate security features like JWT-based authentication, OAuth, and role-based access control. Work with real-time communication protocols (e.g., WebSocket, SignalR) to provide live updates between the server and the front-end. Leverage cloud platforms (e.g., Azure) and services (e.g., Azure Blob Storage, Azure Functions) to enhance scalability. Implement error handling and integrate logging tools for application monitoring and troubleshooting. Full-Stack Integration: Ensure smooth integration between the Angular front-end and backend APIs using HTTP requests and SignalR. Collaborate with team members using Git for version control and best practices in branching strategies. Set up and manage CI/CD pipelines using tools like Azure DevOps or GitHub Actions to automate builds, testing, and deployment. Collaboration and Agile Development: Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with cross-functional teams to ensure UI/UX and business requirements are met. Conduct peer code reviews and mentor junior developers to maintain high-quality code standards. Skills & Qualifications: Education: Bachelor s Degree in Computer Science, Engineering, or related field (or equivalent experience). Angular: Extensive experience with Angular framework (15+), TypeScript, and front-end best practices. C#/.NET: Expertise in C#, .NET Core/Framework, and Entity Framework. Web Development: Proficiency in HTML5, CSS3, JavaScript, and building RESTful APIs. Database Management: Strong knowledge of SQL Server, CosmosDB, or other relational/non-relational databases. Cloud Development: Familiarity with Azure Cloud and associated services is a plus. Version Control & CI/CD: Experience with Git, Azure DevOps, or GitHub Actions for version control and automation. Additional Information: Role: Full Stack Developer Department: Engineering - Software & QA Industry: IT Services Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors Degree in Computer Science, Engineering, or related field (or equivalent experience).

Technical Lead Backend Development Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering & Product Development Role Overview ZL Technologies is seeking a highly skilled Technical Lead Backend Development with deep expertise in Java and large-scale distributed systems. As a key member of our engineering team, you will architect, develop, and optimize server-side components, ensuring high scalability, availability, and performance. You will lead backend development efforts, mentor teams, and deliver robust solutions that power our cutting-edge products. Key Responsibilities Design, develop, and maintain scalable and robust backend services and system architectures using Java. Architect and build reusable code and libraries to support efficient application development and future scalability. Collaborate closely with cross-functional teams and stakeholders to understand requirements and translate them into effective technical solutions. Lead, mentor, and guide engineering teams to deliver high-quality, optimized code in adherence to organizational standards and best practices. Manage and optimize search and retrieval performance internally, contributing to information retrieval components. Ensure software solutions meet high standards of quality, scalability, and maintainability. Apply strong analytical and problem-solving skills to make decisions on architecture and implementation. Maintain clear communication and documentation throughout the software development lifecycle. Required Qualifications 7+ years of hands-on experience in backend development, focusing on large-scale distributed systems, complex software design, scalability, and performance optimization. Strong proficiency in Java server-side development. Experience in information retrieval systems with an emphasis on optimizing internal search performance. Proven ability to lead technical teams and manage project deliverables. In-depth knowledge of algorithms and data structures. Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred). Experience with coding standards, version control systems (especially Git), and software best practices. Excellent problem-solving and decision-making capabilities. Preferred Skills and Technologies Familiarity with open-source tools and frameworks such as Tomcat, Lucene, Zookeeper, Kafka, Netty, and NoSQL databases. Experience building RESTful APIs and microservices architectures. Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Knowledge of big data technologies and cloud platforms. Strong understanding of Unix/Linux and Windows operating systems, networking, and system scaling techniques. Excellent verbal and written communication skills. Lead backend development for cutting-edge enterprise solutions. Work in a collaborative, innovation-driven environment. Opportunity to influence product architecture and engineering best practices. Be part of a fast-growing company with a global impact. Qualification : Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).

Job Title: Senior Java Developer Company: Kanerika Inc. Job Location: Hyderabad, Ahmedabad, Indore, India. Relocation assistance will be provided for compelling candidates. Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Best Place to Work 2022 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today NASSCOM Emerge 50 Award in 2014 Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances. Working for us Kanerika is rated 4.5/5 on Glass-door, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you ll get while working for Kanerika. Role As a Senior Java Developer, you will utilize your extensive Java programming skills and expertise to design and develop robust and scalable applications. You will collaborate with cross-functional teams, provide technical leadership, and contribute to the entire software development life cycle. With your deep understanding of Java technologies and frameworks, you will ensure the delivery of high-quality solutions that meet the project requirements and adhere to coding standards. Locations We are located in Austin (USA), Singapore, and Hyderabad (India). We are looking for you! As a Java/J2EE Developer, we are looking for a team player who possesses a can-do attitude and thrives on delivering results. Your inquisitive nature and dedication to customer satisfaction drive you to consistently seek innovative ways to enhance your job performance. You excel in dynamic environments, maintain a positive outlook, and understand that professional growth is an ongoing journey where making the right choices is crucial. In this role, you will be primarily responsible for designing and developing RESTful Web Services. Your expertise in working with databases such as Oracle, PostgreSQL, MySQL, or SQL Server will enable you to handle data-related tasks effectively. Leveraging your strong knowledge of the Spring Framework, you will craft web applications and microservices utilizing Spring Boot. Proficiency with application server technologies like Tomcat and experience with continuous integration tools such as Jenkins will be valuable assets. As a dedicated follower of SDLC principles, you prioritize quality and adhere to standards-based development practices. Excellent English communication skills, both written and verbal, will facilitate effective collaboration with your team. Requirements What you ll do Following are high level responsibilities that you will play but not limited to: Discuss new features and collaborate with the development and UX team, commercial product manager and product owner to get functionalities specified and implemented. Agree the technical implementation with involved component owners and estimate its work effort. Write great code and do code reviews for other engineers. Implement, test and demonstrate new product features in an agile process. Develop complete sets of functionalities including the backend and frontend. Create new microservices, or migrate existing services, to run on a cloud infrastructure. Work on further usability, performance improvements or quality assurance, including bug fixes and test automation. Watch out for potential security issues and fix them, or better avoid them altogether. What you ll bring BTech computer science or equivalent. Java development skills with at least 5 years of experience. Knowledge of the most popular java libraries and frameworks: JPA, Spring, Kafka, etc. Have a degree in computer science, or a similar background, or you just have enough professional experience to blow right through all your challenges. Are a great communicator, analytic, goal-oriented, quality-focused, yet still agile person who likes to work with software engineers; you will interact a lot with architects, developers from other teams, component owners and system engineers. Have a clear overview of all layers in computer software development, including REST APIs and how to make and integrate them in our products. Have Java server-side development and SQL and no SQL database knowledge. Are open to pick-up innovative technologies as needed by the team. Have or want to build experience with cloud and DevOps infrastructure (like Kubernetes, Docker, Terraform, Concourse, etc.). Speak English fluently. Benefits Employee Benefits Culture Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a col...

Job Title: Data Governance Developer Job Location: Hyderabad Job Description As a Data Governance Developer, you will be responsible for setting up, managing, and optimizing our data governance frameworks, primarily leveraging Microsoft Purview. Your role will involve integrating various data sources, ensuring robust metadata management, and implementing compliance policies to maintain data quality, security, and accessibility across the enterprise. Key Responsibilities: Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). Integrate Purview with diverse data sources, including Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. Schedule and monitor metadata scanning and classification jobs. Implement and maintain collection hierarchies aligned with data ownership. Design metadata ingestion workflows for technical, business, and operational metadata. Enrich data assets with business context: descriptions, glossary terms, tags. Synchronize metadata across tools using REST APIs, PowerShell, or ADF. Validate end-to-end lineage for datasets and reports (ADF Synapse Power BI). Resolve lineage gaps or failures using mapping corrections or scripts. Perform impact analysis to support downstream data consumers. Create custom classification rules for sensitive data (PII, PCI, PHI). Apply and manage Microsoft Purview sensitivity labels and policies. Integrate with Microsoft Information Protection (MIP) for DLP. Manage business glossary in collaboration with domain owners and stewards. Implement approval workflows and term governance. Conduct audits for glossary and metadata quality and consistency. Automate Purview operations using: PowerShell, Azure Functions, Logic Apps, REST APIs Build pipelines for dynamic source registration and scanning. Automate tagging, lineage, and glossary term mapping. Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs. Tools & Technologies: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Experience in Microsoft Purview areas: - Label creation and policy management Publish/Auto-labeling Data Loss Prevention & Compliance handling Compliance Manager, Communication Compliance, Insider Risk Management Records Management, Unified Catalog, Information Barriers eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit DSPM, Data Policy Requirements 4 6 years of experience in data governance or data management. Strong experience in Microsoft Purview and Informatica governance tools. Proficient in tracking and visualizing data lineage across systems. Familiar with Azure Data Factory, Talend, dbt, and other integration tools. Understanding of data regulations: GDPR, CCPA, SOX, HIPAA. Ability to translate technical data governance concepts for business stakeholders. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Data Governance Lead Job Location: Hyderabad Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. Skilled in bridging technical governance with business and compliance goals. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.