Data Infrastructure Jobs in Hyderabad

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Principal Solution Architect Technical Locations: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm solving complex, data-intensive challenges for some of the world s most sophisticated financial institutions. Through relentless innovation, we empower clients to achieve transformational outcomes by delivering scalable and intelligent solutions that address critical needs in operations, data, and analytics. As the fintech industry evolves rapidly, Arcesium is uniquely positioned for strategic expansion. Our culture emphasizes intellectual curiosity, proactive ownership, and collaboration. We offer our people opportunities to make meaningful contributions from day one. About the Role We are seeking an experienced and strategic Principal Solution Architect to join our Client and Partner Development team as a Forward Deployed Solution Architect. This is a high-impact, client-facing role that blends technology, business strategy, and consulting. As a key liaison between clients and Arcesium s product teams, you will help articulate and deliver technically robust solutions that meet real-world investment management challenges. Your work will involve defining and delivering platform-powered, scalable architectures that create measurable business value for our clients. Key Responsibilities Solution Architecture & Delivery Collaborate with client stakeholders (CTOs, CDOs, Heads of Technology) to define and accelerate data strategies using Arcesium s platform. Deconstruct complex client problems and architect robust, scalable technical solutions using Arcesium s capabilities. Drive Proof of Concepts (PoCs), end-to-end solution delivery, and platform implementations. Client Engagement & Communication Present high-impact solutions via written proposals, diagrams, demos, and presentations. Lead governance, project planning, and expectation management for assigned clients. Collaborate with client-side development teams to onboard and train them on Arcesium's architecture, APIs, and data flow strategies. Internal Collaboration & Feedback Partner with Forward Deployed Engineers, Data Strategists, and Product Managers to ensure solution success. Provide feedback and improvement opportunities across products, processes, and solution delivery mechanisms. Represent Arcesium s technical capabilities in sales pitches, technical demos, and pre-sales discussions. Ideal Candidate Profile Experience & Background 7 12 years of client-facing experience in solutioning, technical consulting, implementations, or professional services. Prior experience in software development is a strong plus (languages: Python, Java, SQL). Experience managing cross-functional projects across business and technical domains. Technical Skills Deep understanding of solution architecture, system design, and data integration. Familiarity with cloud platforms (e.g., AWS), modern APIs, and data processing pipelines. Strong command of software engineering processes and DevOps practices. Soft Skills Outstanding communication and stakeholder management skills. Demonstrated ability to translate complex technical topics into simple, impactful solutions for diverse audiences. Comfortable working in a fast-paced, high-stakes client environment. Preferred Familiarity with financial services, investment management, or fintech is advantageous. Awareness of industry trends in data strategy, cloud infrastructure, and advanced analytics. Work at the intersection of finance and cutting-edge technology. Be a core part of strategic transformation for some of the world s leading financial institutions. Collaborate with high-caliber peers in a culture of ownership, growth, and excellence. Access continuous learning and development opportunities to accelerate your career. Equal Opportunity Employer Arcesium is an equal opportunity employer. We are committed to building a diverse and inclusive workforce. We welcome individuals from all backgrounds and walks of life to apply.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

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!

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

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.

Job Summary As a SOAR Engineer at Netenrich Technologies, You will be responsible for leveraging your expertise in SOAR, Threat Hunting, Chronicle, SIEM, and Writing Rules, Play books to detect and mitigate threats, analyze security data, and develop strategies to strengthen our cybersecurity infrastructure. Key Responsibilities Utilize SOAR platforms to automate security processes and response activities. Design, develop, and maintain SOAR playbooks and workflows to enhance incident response capabilities. Collaborate with cybersecurity teams to identify manual processes that can be automated using SOAR technologies. Integrate security tools and technologies with SOAR platforms to improve overall cybersecurity posture. Provide technical expertise in the configuration and optimization of SOAR tools. Stay up-to-date with the latest cybersecurity threats, vulnerabilities, and industry trends. Assist in the evaluation and selection of SOAR technologies based on organizational needs. Document and maintain standard operating procedures for SOAR processes and playbooks. Participate in cybersecurity drills and exercises to test SOAR capabilities and incident response procedures. Develop and maintain security rules and policies to ensure the integrity of our cybersecurity framework. Monitor and analyze security alerts and incidents, participate in incident response activities as needed. Stay updated on emerging threats, vulnerabilities, and cybersecurity trends to strengthen the organization's defense strategies. Qualifications Bachelor s degree in Cybersecurity, Computer Science, or a related field. 2-5 years of hands-on experience working with any SOAR platforms in a cybersecurity role. Strong expertise in designing, developing, and implementing SOAR playbooks and workflows. In-depth knowledge of cybersecurity frameworks, incident response methodologies, and security best practices. Experience with integration of security tools and technologies with SOAR platforms. Familiarity with scripting languages (Python, PowerShell, etc.) for automation purposes. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified SOAR Administrator are a plus. Why Join Netenrich Technologies: Competitive salary and benefits package. Opportunity to work with cutting-edge cybersecurity technologies. Career growth and development in a dynamic and innovative environment. Collaborative and inclusive workplace culture. Contribution to a company committed to enhancing cybersecurity. Qualification : Bachelors degree in Cybersecurity, Computer Science, or a related field.

Job Description We are looking for a passionate engineer to join an early-stage startup focused on building innovative cloud-native data protection solutions. This role requires a proactive approach to learning and scoping business requirements, and developing appropriate DevOps solutions. It's a great opportunity for engineers eager to step out of their comfort zone and work on solving modern data security challenges that have a huge impact. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience in building products on AWS. Prior work in startups is a huge plus. This is a hands-on DevOps role, comfortable with rapid prototyping and implementation of products in an agile team environment. Ability to ensure that systems are safe and secure against cybersecurity threats. Familiarity with scripting languages like Python. Experience with the implementation of various data services in AWS or other clouds. Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible. Experience in container and clustering technologies such as ECS, Docker, Kubernetes, and Helm. Experience with version control systems like GitHub and GitHub workflows. Experience with monitoring tools like CloudWatch. Ability to implement good DevOps practices across infrastructure.

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.

Job Description Location: Hyderabad, Telangana, India Job Type: Permanent (full-time) Experience: 6+ years No. of Openings: 2 Key Responsibilities: Tech Stack Expertise: Proficiency in Python, Pyspark, and Databricks, utilizing these tools to develop robust data pipelines, perform data transformations, and optimize data workflows within the Supply Chain realm. Innovative Problem-Solving: Demonstrate technical expertise by thinking creatively and providing innovative solutions to complex data-related challenges, pushing boundaries in Supply Chain data analytics. Communication Skills: Exceptional communication abilities to effectively convey technical concepts, collaborate with cross-functional teams, and articulate solutions to non-technical stakeholders. Autonomous Work: Ability to work independently and proactively, taking ownership of projects, and delivering high-quality solutions with minimal supervision. Guidance and Best Practices: Lead the team by setting coding standards, advocating for reusable and modularized code, implementing design patterns, and guiding on best practices in data engineering. Perks and Benefits: Strong expertise in Python, Pyspark, and Databricks, with hands-on experience in developing and optimizing data pipelines for complex data transformations. Exceptional problem-solving skills, with a demonstrated ability to think creatively and develop innovative solutions for data-related issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Self-driven and autonomous work style, capable of taking ownership of projects and delivering high-quality results independently. Experience in guiding and mentoring teams on coding standards, design patterns, and best practices in data engineering.

Company: Evergent About Evergent: Evergent is a leading global technology provider, managing over 560 million user accounts across 180+ countries. We partner with major carriers such as AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as prominent media companies including HBO, FOX, SONY, and BBC. With a talented team of 600+ professionals worldwide, Evergent is renowned for delivering Customer Lifecycle Management solutions that accelerate digital transformation and unlock new revenue opportunities without disrupting legacy systems. Recognized by Silicon Valley VCs as a "diamond in the rough," we invite you to join us and be part of our growing success. Position: Cloud & IT Security Analyst Location: Hyderabad Experience Required: 4-8 Years Role Overview: As a Cloud & IT Security Analyst, you will be responsible for securing Evergent s SaaS systems, internal networks, and data platforms. Your role will involve monitoring, analyzing, and strengthening our cloud and IT infrastructure against potential security threats. You ll need to stay up-to-date with the latest security intelligence, including emerging hacking techniques, to proactively defend against breaches and ensure system integrity. Key Responsibilities: Cloud & IT Infrastructure Protection: Monitor and secure Evergent s cloud infrastructure and IT systems to prevent unauthorized access or data breaches. Security Assessments: Conduct regular security assessments, vulnerability scans, and penetration testing to identify potential risks. Log Analysis & Threat Investigation: Analyze security logs to investigate potential threats and take necessary action to mitigate risks. Security Controls & Policy Implementation: Develop and enforce security controls and policies to safeguard systems and data. Cloud Security Configuration: Manage cloud security configurations across AWS, Azure, and Google Cloud to ensure best practices are followed. Incident Response & Mitigation: Respond to and manage security incidents, minimizing impact and ensuring swift recovery. Security Audits & Compliance: Support annual security audits and ensure compliance with standards such as PCI-DSS, SSAE18, and GDPR. Client Engagement: Assist in responding to client RFPs/RFIs regarding Evergent s security practices and policies. Access Management: Define and enforce access privileges, control structures, and security resource management. Continuous Security Improvement: Proactively identify vulnerabilities, recommend security improvements, and stay ahead of emerging threats. Required Skills: Experience with cloud platforms (AWS, Azure, Google Cloud). Strong understanding of cybersecurity principles and network security. Proficiency in risk management and implementing security controls. Knowledge of compliance frameworks such as NIST, ISO 27001, and GDPR. Familiarity with security tools like SIEM and IDS/IPS. Certifications (Typical): CompTIA Security+ AWS Certified Security Specialty (ISC) CCSP CISSP (Certified Information Systems Security Professional) Qualifications & Education Requirements: BE, B.Tech, M.Tech, MCA, or any Bachelor's degree in Computer Science or related field. Preferred Skills: 4 to 8 years of experience in IT security or a related field. Strong written and verbal communication skills. Highly organized, responsive, and a diligent problem solver. Associate s degree or relevant certifications in Computers, Technology, or a related field. Technical Knowledge: Experience with UNIX, AIX, Linux, Cisco Network IDS, Cisco Host-based IDS, eTrust Access Control, ESM, IDS. Familiarity with DES encryption, Digital Certificates, SSL, VPN, IPSec, TCP/IP, DNS, and web security architecture. Knowledge of database security (e.g., MySQL), version control systems (e.g., Subversion), and antivirus solutions. Qualification : BE, B.Tech, M.Tech, MCA, or any Bachelor computer degree.

Digital Marketing Consultant - gTech Ads at Google Company Overview: Google creates products and services that aim to make the world a better place. gTech Ads is an integral part of Google's efforts to help customers maximize their success with Google Ads products. gTech Ads provides technical support and media services to customers, helping them optimize and implement ad campaigns, gain insights, and resolve complex business challenges. The team works cross-functionally with sales, product, and engineering teams to develop innovative solutions and tools that improve the customer experience and drive business growth. Job Overview: As a Digital Marketing Consultant within gTech Ads, you will be responsible for delivering consultative, technical, and media solutions to help Google Ads clients optimize their advertising campaigns and achieve their business goals. You will work with external advertisers, building strong relationships, offering strategic guidance, and leveraging Google Ads solutions to address their unique needs. You will work with internal teams to deliver customized solutions, driving product adoption, business growth, and ROI for clients. Responsibilities: Advise Key Clients: Leverage your expertise in digital marketing and technical solutions to address business challenges, providing consultative support and driving the success of Google Ads clients. Help clients design effective media plans and implement solutions to meet their advertising goals. Client Relationship Management: Build and nurture relationships with external advertisers, supporting all aspects of campaign management from planning and pitching to implementation and optimization. Use your expertise to ensure product adoption and business growth for clients. Collaborate Across Teams: Work closely with sales, product, and engineering teams to drive growth plans for clients. Collaborate on insights, solutions, and strategies for vertical and sub-verticals to ensure that clients receive tailored, data-driven recommendations and optimizations. Consultative Marketing Solutions: Deliver digital marketing solutions that address client issues by providing both media strategies and technical guidance. Help clients optimize their campaigns and improve their overall advertising performance. Advocate for New Product Features: Promote new product features, assist with adoption through account setup, and provide technical guidance on infrastructure and data integration in Google Ads. Minimum Qualifications: Education: Bachelor s degree or equivalent practical experience. Experience: 5 years of experience in digital media or digital marketing/advertising solutions, with a focus on implementing and measuring digital advertising campaigns and providing client solutions. 4 years of experience in a client-facing role, collaborating with partners across multiple levels. Preferred Qualifications: Experience: 5 years of experience working with internet products and technologies. Knowledge of programmatic platforms and products, and familiarity with the performance advertising market or online ads landscape. Skills: Strong data analysis skills, with the ability to interpret datasets, identify trends, and translate findings into compelling narratives. Excellent business negotiation, influencing, and communication skills, with the ability to collaborate cross-functionally and build relationships with multiple teams and stakeholders. Proven project management skills, with the ability to oversee and manage multiple, simultaneous solutions supported by internal teams. About the Team: gTech Ads supports Google s advertising customers by providing both strategic and technical services. The team is a trusted advisor to Google s customers, helping them get the most out of Google Ads through personalized, scalable solutions. Whether addressing bespoke business needs or scaling solutions globally, gTech Ads ensures that clients achieve maximum ROI and success with Google s advertising products. What We Offer: Collaborative Culture: Work in a team that values innovation, problem-solving, and creative thinking. Impactful Work: Help businesses of all sizes achieve their advertising goals and grow with Google s powerful advertising solutions. Growth Opportunities: Collaborate with top professionals across various fields, including sales, product, and engineering teams. Apply Now to join Google s gTech Ads team and help shape the future of digital marketing for global advertisers. Qualification : Bachelors degree or equivalent practical experience.

Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.

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.

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

Position: Azure Infrastructure Engineer Location: Hyderabad, Telangana Employment Type: Full-time, Permanent Industry: IT Services Department: Engineering - Software & QA Role Category: Infrastructure Engineering We are seeking an experienced Azure Infrastructure Engineer to join our team in Hyderabad. The ideal candidate will have hands-on experience with Azure Resource Management, Azure PaaS services, Azure Compute Services, Networking, Storage Solutions, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a critical role in designing, implementing, and managing our Azure infrastructure to support various applications and services, ensuring performance, security, and scalability. Key Responsibilities: Design and implement scalable and secure Azure infrastructure solutions using Azure Resource Manager. Manage and configure Azure PaaS services (e.g., Azure App Services, Azure Functions, Azure SQL Database) to optimize application performance and reliability. Oversee Azure Compute Services, including Virtual Machines, App Services, and Container Instances. Implement and manage networking solutions, including Virtual Networks, Network Security Groups, and VPN gateways to ensure secure communication. Design and maintain storage solutions in Azure, ensuring data availability, redundancy, and security. Implement Identity and Access Management (IAM) solutions using Azure Active Directory and Role-Based Access Control (RBAC) to secure and manage user access. Utilize Azure Monitoring and Diagnostics tools to track infrastructure performance, troubleshoot issues, and optimize system health. Collaborate with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment and efficient infrastructure management. Maintain comprehensive documentation for infrastructure configurations, procedures, and best practices. Stay up-to-date with Azure services, technologies, and best practices, recommending improvements to enhance efficiency, security, and overall performance. Required Qualifications & Skills: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Azure Resource Management: Strong understanding of deployment techniques and resource management within the Azure environment. Azure PaaS Services: Proven experience working with services such as Azure App Services, Azure Functions, and Azure SQL Database. Azure Compute Services: Proficiency in managing and configuring Virtual Machines, App Services, and Container Instances. Networking: Solid knowledge of Azure networking concepts and configurations such as Virtual Networks, Network Security Groups, and VPNs. Storage Solutions: Experience with Azure storage solutions and best practices for ensuring high availability, backup, and security of data. Identity & Access Management: Experience with Azure Active Directory and Role-Based Access Control (RBAC). Monitoring & Diagnostics: Familiarity with Azure Monitoring and Diagnostics tools to ensure optimal system performance and troubleshoot any issues. DevOps Practices: Understanding of DevOps practices and tools, including CI/CD pipelines and automation for efficient infrastructure management and deployment. If you are passionate about Azure infrastructure and want to be part of a high-performing team that designs and manages cutting-edge cloud solutions, we d love to hear from you! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.