Data Infrastructure Engineer Jobs in Pune

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Position Title: Director Customer Services Location: Pune Experience: 12+ years Education: Bachelor's Degree / MBA (Preferably in IT or Business Strategy) Company: Accops Systems Pvt. Ltd. Accops empowers organizations with secure and seamless remote access, workspace virtualization, and Zero Trust-based IT infrastructure solutions. Role Overview: Accops is looking for a dynamic and strategic Director Customer Services to lead enterprise customer success initiatives. This role is pivotal in driving customer satisfaction, retention, and long-term value realization by aligning Accops' solutions with strategic customer goals. The ideal candidate will have deep experience in customer success, IT infrastructure, cybersecurity, or virtualization technologies, with a proven ability to engage C-level stakeholders and deliver measurable business outcomes. Key Responsibilities: Act as a strategic advisor to enterprise customers, identifying and aligning business use cases with Accops solutions across verticals like BFSI, Government, Healthcare, Manufacturing, and more Drive post-sales value delivery by tracking business KPIs and proactively engaging with customers to ensure alignment with success metrics Lead and deliver data-driven QBRs (Quarterly Business Reviews) to highlight ROI, ensure solution adoption, and identify upsell/cross-sell opportunities Guide customers through technical enablement, architecture discussions, roadmap alignment, and value realization Collaborate cross-functionally with Product, Sales, Professional Services, and Engineering teams to ensure customer needs and feedback influence product direction Own strategic customer portfolios, acting as the single point of contact for senior stakeholders Develop and deliver business cases, solution roadmaps, and tailored customer success plans Champion customer advocacy by identifying opportunities for case studies, testimonials, and speaking engagements Maintain accurate records of customer interactions, engagement milestones, feedback, and business impact Technical Skills & Requirements: 12+ years of experience in Customer Success, Strategic Account Management, or Solution Consulting in the tech domain Demonstrated success in aligning complex IT solutions with tangible business outcomes Strong presence and credibility to engage and influence C-level executives Deep understanding of digital transformation trends, enterprise IT challenges, and industry-specific requirements Strong grasp of technologies in VDI, Cybersecurity, Zero Trust Security, or IT Infrastructure Analytical mindset with the ability to interpret usage data and transform insights into strategic actions Preferred Qualifications: Background in technologies such as Accops, Citrix, VMware, Omnissa, or other Secure Access/VDI solutions Experience managing large enterprise accounts or strategic portfolios as an individual contributor MBA or equivalent experience in business strategy or IT management is a plus Soft Skills & Behavioral Competencies: Excellent verbal and written communication skills Strong solution design and articulation abilities Proactive and self-driven with a customer-first approach Accountable, with a high level of ownership and responsibility Analytical and logically sound with strong problem-solving skills Flexible, multi-tasker, and quick learner in a dynamic environment Team player with collaborative leadership qualities Qualification : Bachelor's Degree / MBA (Preferably in IT or Business Strategy)

Position: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Technical Support Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva enables cyber, data, and operational resilience for organizations worldwide with the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Druva simplifies data protection, streamlines governance, and delivers data insights, helping customers accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs, delivering robust data resilience across multiple geographies and clouds. About the Role: Join Druva s Global Customer Support team, a group of highly skilled engineers dedicated to resolving complex technical issues and enhancing the customer experience. As a Technical Support Engineer, you ll be on the front lines of delivering exceptional support for Druva s innovative cloud-based data protection products. This role offers a dynamic and challenging environment where you ll develop your skills while directly impacting customer success and satisfaction. What You ll Do: Provide technical support for Druva s products as part of a 24x7x365 global support team. Collaborate with team members to troubleshoot and resolve complex technical issues. Analyze logs and exceptions to identify root causes and improve product usability and customer experience. Contribute to knowledge management by documenting solutions as Knowledge Base articles. Develop and implement productivity tools to tackle complex technical challenges. Escalate unresolved issues to appropriate teams while maintaining clear communication with customers at all levels. Follow established troubleshooting methodologies to diagnose, reproduce, and resolve issues. Engage in continuous learning through training and e-learning courses. Work closely with Quality Assurance and Engineering teams to identify, report, and resolve product defects. Utilize remote support tools and case management systems such as Salesforce, JIRA, and Zoom. Meet and exceed Service Level Agreements (SLAs) for all customer support channels. Who You Are: Minimum Qualifications: Bachelor s degree in a technical field or equivalent experience. 3+ years of relevant technical support or similar experience. Strong written and verbal communication skills. Good understanding of backup and recovery concepts, including disaster recovery, backup types, and replication. Experience with Operating Systems administration: Windows, Linux, Solaris, Unix. Familiarity with cloud infrastructure such as AWS, VMware Cloud, or other public cloud providers. Knowledge of server backup applications and troubleshooting security-related issues. Skilled in troubleshooting using tools like Wireshark, tcpdump, Procmon, Perfmon. Basic understanding of storage technologies (SCSI, SAN, iSCSI, NAS). Hands-on experience with VMware, Hyper-V, and Nutanix technologies. VMware Certified Professional (preferred). Nutanix Enterprise Administrator certification (preferred). Knowledge of backup and recovery for databases like Microsoft SQL and Oracle. Ability to troubleshoot integration issues between SaaS and on-premises applications. Experience creating customer-facing documentation. Experience with deployment and configuration is a plus. If you are passionate about customer success, technical problem-solving, and working with cutting-edge cloud technology, Druva offers an exciting environment where you can grow your career and make a tangible impact. Qualification : Bachelors degree in a technical field or equivalent experience.

Job Title: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

Senior Analyst-IT & Information Security Administration of One Identity tool and management of integrated Identities and Services. Engineering support of One Identity Manager Environment Management of cloud and on-prem infrastructures hosting IAM. Working knowledge on One identity tools : 1IM Manager / Object Browser / Job Queue / Synchronization editor Understanding of the whole IAM environment, Active Directory Multi forest environment at an enterprise level, Windows OS, IIS, MS SQL server Monitor, Report and Analysis of bugs during and after IAM release versions. Performance management of IAM tools, database and Infrastructure. Administration of Identities and Services integrated with the One IDM tool. Support for Organization integration with the IAM Infra. Collaborate and work with onshore development and project team to provide solutions and assist during Project release, testing and for operational support. Responsible for management of incident, problem and change within the IAM Infrastructure. Responsible for documentation and update of IAM Processes and operating procedures. Work with Software Development tool (e.g., JIRA) and handle various IAM related tasks. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Responsibilities: Administration of One Identity tool and management of integrated Identities and Services. Engineering support of One Identity Manager Environment Management of cloud and on-prem infrastructures hosting IAM. On boarding of Allianz Organizations to IAM Infrastructure. Understanding of the whole IAM environment, Active Directory Multi forest environment at an enterprise level, Windows OS, IIS, MS SQL server Monitor, Report and Analysis of bugs during and after IAM release versions. Performance management of IAM tools, database and Infrastructure. Administration of Identities and Services integrated with the One IDM tool. Support for Organization integration with the IAM Infra. Collaborate and work with onshore development and project team to provide solutions and assist during Project release, testing and for operational support. Responsible for management of incident, problem and change within the IAM Infrastructure. Responsible for documentation and update of IAM Processes and operating procedures. Work with Software Development tool (e.g., JIRA) and handle various IAM related tasks. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience withAmeliaAIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Job Title: L2 Infrastructure Engineer Linux Patching (3 Positions) Location: Pune Shift: 24/7 About the Role: As an L2 Infrastructure Engineer Linux Patching, you will be responsible for coordinating, deploying, and troubleshooting patches for Linux servers in a large-scale enterprise environment. You will work with RedHat, SLES, CentOS, and Ubuntu, ensuring security compliance and best practices in vulnerability management. Key Responsibilities: Linux Patching & Vulnerability Management: Coordinate, deploy, and troubleshoot Linux patches for RedHat, SLES, CentOS, and Ubuntu servers. Apply vulnerability management best practices and prioritize patch deployments using CVE scoring. Utilize Ansible AWX for automation and configuration management of patching procedures. Provide insights for improving scanning processes based on vulnerability scanner data. Ensure minimal business disruption by coordinating patch deployments with cross-functional teams. Troubleshoot patching failures and provide technical guidance to fellow engineers. Automation & Infrastructure Support: Develop Python scripts for automating patch management processes. Support cloud infrastructure on the Azure platform. Manage and configure virtual servers in an enterprise environment. Work within an enterprise ticketing system (e.g., ServiceNow) to track incidents, requests, and changes. Process & Compliance: Ensure adherence to change management and ITIL best practices. Maintain detailed documentation of patching activities and procedures. Required Skills & Experience: Must-Have: 5-8 years of experience as a Linux Support Engineer or similar role. Expertise in Linux patching and troubleshooting vulnerabilities. Hands-on experience with Ansible AWX, Ansible, Chef, or Puppet for automation. Knowledge of CVE scoring and vulnerability management best practices. Strong understanding of RedHat, SLES, CentOS, and Ubuntu operating systems. Experience managing cloud infrastructure on Azure. Excellent communication skills and ability to handle multiple tasks efficiently. Good-to-Have: Experience with Python scripting for automation. Familiarity with ServiceNow or similar enterprise ticketing systems. Relevant Linux administration certifications (e.g., RHCSA, RHCE, LPIC). At our organization, we value innovation, collaboration, and technical excellence. We offer: A challenging and dynamic environment with opportunities to work on enterprise-scale infrastructure. Exposure to cutting-edge automation and cloud technologies. A supportive team and culture that promotes continuous learning and professional growth. Apply Now if you're a skilled Linux Engineer passionate about automation, security, and enterprise infrastructure!

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.

NVIDIA s Infrastructure, Planning and Processes (IPP) organization is seeking a hard-working and experienced Site Reliability/DevOps Engineer, with strong background in Infrastructure Management, Monitoring, Automation, & System Administration, to join our Sanity Operations Team in Pune. The IPP Org provides Infrastructure, Products & Services for multiple software teams including GPU, Mobile, and Automotive divisions working on Nvidia's extraordinary products & services. The team is responsible for hosting, enabling & running the large scale private cloud systems & services, for our in-house Testing CI framework. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android, etc.), running with NVIDIA GPUs and Tegra Processors. What you ll be doing: Create resilient, scalable, and efficient test and deployment pipelines. Design and implement complex automation platforms to identify & resolve operational inefficiencies. Triaging software, hardware and infrastructure issues and maintaining high availability for our infrastructure & services. Deploying & Monitoring critical high performance, large scale services running on Geo-distributed systems. Continuously Strive for efficient utilization & management of the infrastructure. Automate processes for enabling developers to adopt self-service practices, while ensuring compliance with security standards. Work with architects and engineers across the teams to review the designs & solutions during development and deployment phases. Collaborate with our other engineering teams to deliver reliable, robust, and high-performance capability of the underlying infra. Mine & analyze data from multiple sources for identifying scaling & optimization opportunities. What we need to see: Bachelor s or Master s degree in computer science, Software Engineering, or equivalent experience with 7+ years of experience in a DevOps environment. Strong hands-on experience in Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc) Working Experience in monitoring & maintaining large-scale infrastructure applications running in a microservice-based architecture. Proficient with Virtualization architecture with strong experience in Kubernetes, VMs, Dockers. Experience with continuous integration and continuous delivery systems such as GitLab, GitOps, Jenkins, Packer, and Terraform. Strong Python scripting skills, with proven background of using/writing JSON/REST APIs. Fluency in using MySQL or equivalent NoSQL databases queries Solid understanding of configuration management tools like, Chef, Puppet, Ansible, etc. Working Experience with Perforce, GIT or any other version control system is necessary. Experience with telemetry and alerting systems such as Kibana, Elastic Search, Grafana, and Prometheus to create rich visualizations of system health over time. Ability to self-manage, show leadership, mentor others and communicate well. Ways to stand out from the crowd: Understanding of networking concepts like TCP/IP and firewall management. Exposure to web apps/dashboards on frameworks like Django, AngularJS, VueJS, etc. High level understanding of Build and Test systems. Experience in Building regression detection systems by analyzing real-time production data, emphasizing important metrics. Innovating with industry-standard tools and collaborating with the open source community Qualification : Bachelors or Masters degree in computer science, Software Engineering, or equivalent experience with 7+ years of experience in a DevOps environment.