Google Cloud Jobs in Hyderabad

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

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!

Staff Software Engineer Google Cloud Databases Location: Hyderabad, Telangana, India Minimum Qualifications Bachelor s degree or equivalent practical experience. 8+ years of software development experience, including strong data structures and algorithms knowledge. 5+ years of experience testing and launching software products. 3+ years of experience with software design and architecture. Preferred Qualifications Master s or PhD in Engineering, Computer Science, or related technical field. 3+ years in a technical leadership role, leading projects and setting technical direction. Experience collaborating on cross-functional or cross-business projects. Proficiency in C++ and related frameworks. Knowledge of storage technologies such as SAN, NAS, Object Storage, and Cloud Storage. About the Role At Google Cloud, software engineers innovate on technologies that transform how billions connect, explore, and engage with data and services globally. As a Staff Software Engineer focused on Google Cloud Databases, you will design and develop scalable, reliable distributed database services that meet demanding performance and availability requirements. You will be empowered to act like an owner, anticipate customer needs, and innovate across the full stack. Your work will directly impact the performance and reliability of core Google Cloud services used worldwide. Responsibilities Architect, develop, and maintain scalable, high-performance backend services for distributed database systems. Own end-to-end module design and implementation with a focus on engineering excellence. Produce high-quality, well-documented, maintainable codebases. Lead code reviews to ensure consistent quality and best practices. Mentor and guide junior engineers, fostering their technical development and career growth. Collaborate closely with cross-functional teams including Product Management, UX/UI, and customers to deliver impactful solutions. About Google Cloud Google Cloud empowers organizations worldwide to digitally transform their operations with enterprise-grade solutions built on Google s cutting-edge technology. Serving customers in over 200 countries and territories, Google Cloud is a trusted partner for growth and innovation across industries. Qualification : Bachelor's degree or equivalent practical experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Conversational AI Technical Lead Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm IT is seeking a Lead Conversational AI Developer for its Intelligent Automation Center (IAC). This role focuses on designing and implementing AI-driven conversational experiences using Microsoft Azure, Copilot Stack, and GenAI frameworks. Key Responsibilities Design and implement Conversational AI solutions using Microsoft Azure and Copilot Stack with Generative AI. Hands-on experience with Microsoft Copilot Studio, Bot Framework, Azure AI Search, Azure OpenAI, and NLP technologies. Develop end-to-end AI projects utilizing Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build bot solutions using Python; knowledge of front-end technologies like Angular is a plus. Utilize Azure Cognitive Services (LUIS/CLU, QnA Maker, Spell Check, Speech API). Extend Copilot Agent functionalities with Power Automate, Logic Apps, and APIs. Work with LangChain, LlamaIndex, and Streamlit for GenAI solution development. Ensure code quality through unit testing and reusable test case development. Support product testing and UAT; report status, issues, and risks regularly. Mentor team members and improve automation skills through certification. Minimum Qualifications Bachelor s degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree. 2+ years of experience with database technologies like MongoDB or MySQL. Strong understanding of Conversational AI and Intelligent Automation methodologies. Experience in process mining tools like Celonis (data models, dashboards). Proficient in business process diagrams and flowcharting using Automation Anywhere. Knowledge of Robotic Process Automation (RPA) tools (certifications preferred). Strong programming background, especially in Python. Knowledge of RDBMS and SQL query writing. Experience in cloud platforms (preferably AWS); certifications are a plus. Agile development experience with tools like Jira. Skills & Competencies Strong knowledge of Microsoft Conversational AI Stack (Copilot Studio, Azure AI Foundry/Search/OpenAI). Experience in GenAI frameworks like LangChain. Strong communication, leadership, and team collaboration skills. Ability to manage tasks independently and lead a technical team effectively. Qualification : Bachelors degree and 4+ years of relevant programming/IT experience, or 6+ years without a degree.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Introduction In this role, you'll be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant 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.

About Us: Infor is a global leader in business cloud software, providing industry-specific solutions to customers worldwide. We help organizations manage digital transformation, leveraging cutting-edge technology to improve their operations. With a focus on industry suites, data science, and integration, Infor is trusted by over 60,000 organizations globally. We are seeking a Senior Database Administrator to join our dynamic team, where you will be responsible for the management and optimization of our database infrastructure, as well as implementing automation solutions on AWS. A Day in the Life of a Senior Database Administrator: Database Management and Maintenance: Oversee and maintain multiple databases, including PostgreSQL, Cassandra, MSSQL Server, and OpenEdge, ensuring their optimal performance, security, and reliability. Automation Strategy Implementation: Design and implement automation strategies to streamline database processes using AWS CLI, scripting languages (e.g., Shell, Python, PowerShell), and other tools, minimizing manual errors. Cloud Database Management (AWS): Deploy, manage, and monitor databases on Amazon Web Services (AWS), including services like Amazon RDS, Amazon Aurora, EC2, and S3 storage. Backup, Recovery, and High Availability: Develop and implement comprehensive data backup and recovery strategies, disaster recovery plans, and high availability solutions using AWS services. Performance Tuning & Optimization: Conduct performance tuning and optimization of database systems to ensure they can handle large datasets and support high-traffic applications. Security Implementation: Design and enforce security protocols to protect sensitive data, including firewalls, encryption, role-based access control, and ensure compliance with security standards on AWS and Azure. Collaboration & Guidance: Collaborate with development teams to integrate database systems into applications, and offer best practices on database design and implementation. Database Schema Management: Manage and implement database schema updates and version control. Monitoring & Reporting: Monitor database performance metrics and create reports to identify trends, potential issues, and suggest improvements. Mentorship: Mentor junior database administrators and provide guidance on day-to-day database operations. Technical Documentation: Write and document technical runbooks, processes, and procedures for consistent database administration. Database Maintenance & Patching: Perform monthly consolidated maintenance during office and after-office hours, including patching, updates, and upgrades on database resources. Required Skills: PostgreSQL Expertise: In-depth experience in managing and administering PostgreSQL databases, including performance tuning, backup and recovery, and security. MSSQL Server: Hands-on experience with MSSQL Server for daily database activities and performance management. AWS Cloud Services: Strong experience with AWS services like RDS, EC2, S3, IAM, and the AWS CLI for deploying, managing, and scaling databases in the cloud. Automation & Scripting: Proficiency with automation tools and scripting languages like Shell, PowerShell, and Python to automate tasks and processes. SQL Proficiency: Strong knowledge of SQL and the ability to write complex queries for performance tuning and debugging. Database Migration & Replication: Experience with database migration and replication processes. Database Architecture: Excellent understanding of database architecture and design principles for high-performance systems. Educational Requirements: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Communication & Collaboration: Strong communication skills to collaborate with cross-functional teams and guide junior staff. Preferred Qualifications: Automation Tools: Experience with Ansible, Puppet, or Chef for database automation. Other Databases: Familiarity with MSSQL Server, Cassandra, OpenEdge, and other database technologies. Compliance Knowledge: Understanding of government compliances like GDPR and HIPAA. Monitoring Tools: Knowledge of monitoring tools such as Monocle, Sumologic, Splunk, and CloudWatch. Industry-Leading Solutions: Work with a team that builds cutting-edge cloud solutions for diverse industries. Collaborative Environment: Join a team that encourages knowledge-sharing, innovation, and growth. Career Development: Continuous learning and career growth through mentorship and training. Competitive Compensation: Enjoy a comprehensive benefits package and competitive salary. If you are an experienced Database Administrator with a passion for AWS, PostgreSQL, and automation, apply today to be a part of Infor s global team driving digital transformation! Qualification : A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Qualifications: Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Solution Architect or in a similar role, with a focus on Azure data services. Extensive expertise in Azure Data Factory, Azure Data Lake, ETL tools (e.g., Talend, Informatica, SSIS), and data warehousing tools. Strong knowledge of Business Intelligence tools, specifically Qlik and Power BI. Experience with data modelling, database design, and data integration techniques. Strong expertise in Microsoft Azure services, particularly Data Lake and Data Factory. Proficient in programming languages such as Python. Experience with CI/CD tools, specifically Jenkins. Proficient in SQL and experience with cloud-based databases (e.g., Azure SQL Database, Azure Synapse Analytics). Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Relevant certifications in Azure (e.g., Azure Solutions Architect Expert). Experience in big data technologies (e.g., Spark, Hadoop). Knowledge of DevOps practices and tools. Qualification : Bachelor's degree in computer science, Information Technology, 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, overseeing the management of over 560 million user accounts across 180+ countries. We work with top-tier carriers like AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as major media companies such as HBO, FOX, SONY, and BBC. Our team of over 600 professionals is dedicated to delivering world-class Customer Lifecycle Management solutions that drive digital transformation and unlock new revenue opportunities, all while seamlessly integrating with legacy systems. Recognized as a diamond in the rough by Silicon Valley VCs, Evergent invites you to be part of our exciting growth journey. Position: Cloud Security Lead Location: Hyderabad Experience Required: 8+ Years Role Overview: As the Cloud Security Lead at Evergent, you will be responsible for shaping and executing our cloud security strategy across AWS, Azure, and GCP. Your leadership will ensure that cloud applications and infrastructure remain secure and compliant with industry standards. You'll guide a team of security experts while collaborating with cross-functional teams to integrate robust security measures into every stage of development. Key Responsibilities: Cloud Security Strategy: Design and implement a comprehensive cloud security framework for AWS, Azure, and GCP environments. Governance & Compliance: Establish and maintain cloud security governance, ensuring full compliance with SOC 2, PCI-DSS, and data privacy regulations. Risk & Vulnerability Management: Lead security assessments, conduct risk analysis, and develop effective remediation strategies. Team Leadership: Guide, mentor, and grow a team of security architects and engineers. Incident Response: Manage security incident detection, analysis, containment, and recovery processes. Collaboration: Work closely with DevOps, IT operations, and software development teams to seamlessly integrate security practices throughout the SDLC. Security Tools Management: Evaluate, implement, and manage cloud security tools, such as AWS Security Hub and Azure Security Center. Continuous Improvement: Stay ahead of emerging security threats and recommend strategies for ongoing security enhancements. Qualifications & Requirements: Educational Background: BE, B.Tech, M.Tech, MCA, or equivalent degree in Computer Science or related fields. Preferred Skills: Over 8 years of experience in information security or related IT fields. Exceptional communication skills (both written and verbal). Highly organized, proactive, and a problem solver with attention to detail. Relevant certifications in security or cloud technologies are a plus. Technical Skills: Strong understanding of cloud computing architectures (IaaS, PaaS, SaaS). Expertise in Identity and Access Management (IAM), encryption, network security, and data protection. Familiarity with SIEM systems and their application in cloud environments. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Qualification : BE, B.Tech, M.Tech, MCA, or any Bachelor computer degree.

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.

Overview At Microsoft, our core mission is empowering every person and every organization on the planet to achieve more. Industry Solutions (IS) is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, architects and consultants, who along with delivery experts are working together to bring Microsoft s mission of empowerment and cutting-edge technology - to life for the world s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Qualifications Required/Minimum Qualifications Bachelor's degree OR Master s degree in computer science, Information Technology, Engineering, or related field AND 14+ years experience in developing technology solutions, practice development, architecture, and consulting. Additionalor Preferred Qualifications Technical or Professional Certifications Inclusive and collaborative driving teamwork and cross-team alignment. Strong partner relationship management and solution development skills. Conversant knowledge of competing platforms and solutions. Strong executive presence including communication and presentation skills with high comfort to large and small technical audiences. Problem solving mentalityleveraginginternal and/or external resources, conflict resolution, and follow through with partners. Orchestration of application development lifecycle. Demonstrable architecture, design, implementation, and/or support of complex application architectures Candidates must alsodemonstrate the abilityto adapt tonew technologies, learn quickly, and understand relevant cloud trends is required. Other The job may require travel. Fluent English verbal and written communications skills area must. /span> Responsibilities Architecture and Design Leverages a structured approach to architecture projects using existing methodologies (e.g., Waterfall, Agile, Iterative) that make use of existing reference architecture and establishedarchitectural styles and design patterns. Defines and documents the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution Leads cost-based and technology-based discussions to explain the architecture in terms of its build, deployment, and ongoing operational use todeterminecustomer appetite for the business solution. DemonstrateROI that the business solution realizes. Collaborates with the Project Manager to jointly drive project/technical governance of the design, build, and deployment into use of proof of concepts (POCs) and pilots. Collaborates with business sponsor and customer/partner stakeholders (e.g., Business users, Enterprise Architects, Security Team, Operations Team) to gather and ratify requirements and constraints. Manages and resolves ambiguity in the requirements and documents assumptions and implications where it cannot be resolved. Drives development and execution of Test Plans to prove that each requirement/constraint has been implemented as expected by the customer. Collaborates with Project Manager and Account Team toidentify, categorize, and communicate business and technical risks. Generates new and/or improvements to existing intellectual property.Drives the re-use of intellectual property and recommends practices in both pre-sales and delivery. Participates and contributes to internal/externalcommunities. Trusted Advisor Develops a network of internal/external relationships to build influence in addressing problems/ blockers and facilitating additional views on the matter of interest. Stays up to date on Microsoft s technologies, products. Uses evidence-based arguments that articulate complex concepts in a simple manner to respectfully challenge Microsoft and customers / partners when a decision or course of action will not produceoptimalresults. Serves as the "technical conscience" to challenge the status quo and unrealistic expectations. Proactively resolves conflicts and seeks resolution to balance the overall outcome. Thought Leadership Shares ideas, insight, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external architect community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with internal team. Acts a mentor to junior colleagues to educate them on technical and non-technical concepts. Technology Areas Designing scalable solutions on Azure cloud platforms with focus on performance and resiliency, utilizing microservices architecture, data structures, modern application design patterns, and anti-patterns, such as MVC, CQRS and/or SAGA Engineering distributed applications within architectural scenarios such as Web andIoT Extensiveexperiencein application development including implementing,customizing, operating, and troubleshooting Azure Cloud solutions. Comprehensiveexpertisein microservices, Docker, and Kubernetes. Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes, Service Fabric, Cloud Foundry DefiningCI/CDpipelines to automate test and release across different application environments using concepts such as Blue/Green and Canary deployments and related technologies (e.g.,Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet) Strong working knowledge of security controls such as encryption, AuthN/AuthZ, application monitoring and end-to end Telemetry. Proficient with one or more Cloud Databases such as Azur...

Overview SharePoint helps millions of people work bettertogetherand empowersthe biggest companies in the world to solve mission critical problems.We create global scale services to store, secure and manage some of the most sensitive data on the planet. We have fantastic opportunities and are on the front-line of making many of our next generation architecture investments to deliver multi-geo content store, amazing performance/scale/reliability, and security capabilities using cloud-based distributed systems . Microsoft s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience working on agile teams with solid customer focus. Good communication and cross group collaboration skills. Experience in Azure, Exchange, or other cloud and distributed systems. #ODSPEng Responsibilities Towards this vision, we are seeking a Senior Software Engineer to disrupt and build next generation of products and take it to the next level. Your responsibilitieswill include: Own and influence the architecture roadmap and vision along with strong execution. Influence the product vision by working closely with product development and engineering teams and ensure best quality design and architecture. Lead key technical initiatives and serve as the lead on our most technically complex, cross-functional projects. Design systems for scalability and performance with highest quality and following best engineering practices. Lead the design, get hands dirty and write/review code/design and finally deploy the best code into production Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. Create and execute appropriate quality plans, test strategies and processes You must be self-driven, curious to learn, proactive, andresult-oriented. Join a team of builders and innovators that think outside the box. A team that s committed to a low operational burden by designing for it. A team that puts work-life balance, personal and professional growth as a principle, not just a goal. If you enjoy working in a dynamic environment to deliver world class mission critical systems, this may be the career opportunity for you! Qualification : Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.

Role Overview: We are looking for an experienced Senior Python Engineer with expertise in FastAPI and microservices architecture to join our dynamic team. In this role, you will lead the design, development, and deployment of scalable and resilient backend services. The ideal candidate will have a strong technical background in Python development, microservices architecture, and FastAPI, along with proven experience leading technical teams and ensuring high performance, security, and maintainability of applications. Key Responsibilities: Lead the design, development, and deployment of microservice-based applications, ensuring scalability and resilience. Develop and maintain FastAPI-based backend services with a focus on performance, security, and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, and API gateways. Ensure code quality, security, and performance optimization across the application stack. Work with containerization technologies like Docker and Kubernetes for seamless application deployment. Collaborate with cross-functional teams to define, design, and ship new features effectively and efficiently. Establish and manage CI/CD pipelines for seamless and automated application deployment. Implement best practices for API design, development, and security to ensure robust and reliable services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for proactive issue detection and resolution. Ensure adherence to version control systems (e.g., Git) and support collaborative workflows across teams. Qualifications: Proven experience in leading technical teams and developing scalable applications using microservices architecture. Proficiency in Python and FastAPI for building high-performance backend services. In-depth knowledge of Pydantic for data validation in FastAPI applications. Hands-on experience with containerization technologies (e.g., Docker, Kubernetes) for managing deployment and scalability. Familiarity with CI/CD pipelines and automation tools to streamline application development. Strong expertise in API design and implementation best practices. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios. At Blend, we are driven by the belief that AI and human expertise can combine to create meaningful, lasting impact. By joining our team, you ll have the opportunity to work on cutting-edge technologies, collaborate with brilliant minds, and contribute to innovative projects that shape the future.

Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.

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.