What You’ll Do:

In this role, you will take the lead in designing, building, and optimizing data pipelines, ensuring high-quality data integration and real-time analytics. As a Senior Staff Engineer, you will mentor and guide a team of data engineers, collaborate with cross-functional teams, and drive best practices for data architecture and engineering.

• Leadership & Mentorship:
  • Lead and mentor a team of engineers, ensuring technical excellence and continuous improvement.
  • Provide guidance on complex technical issues, and foster a culture of collaboration and innovation.
  • Develop and maintain data engineering processes, practices, and standards across the team.
• Data Architecture & Engineering:
  • Design and develop robust, scalable, and efficient data pipelines for ETL (Extract, Transform, Load) processes.
  • Architect data solutions and ensure seamless integration of data from diverse sources, both on-premise and in the cloud.
  • Optimize data storage, retrieval, and processing for performance and scalability.
• Collaboration & Stakeholder Management:
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Collaborate with the software engineering team to ensure smooth integration of data pipelines into applications.
• Data Quality & Governance:
  • Ensure data integrity, quality, and consistency across systems.
  • Implement and enforce data governance policies and best practices, ensuring compliance with data privacy regulations.
• Continuous Improvement:
  • Stay updated with the latest trends in data engineering, big data technologies, and cloud platforms.
  • Drive automation, testing, and optimisation within data pipelines to improve overall efficiency.
• Technology Stack:
  • Lead the selection and implementation of appropriate technologies for data storage, processing, and retrieval (e.g., Hadoop, Spark, Kafka, Airflow).
  • Experience working with public clouds like GCP/AWS.
  • Proficient with SQL, Java, Spring boot, Python or at least one Object oriented language, Bash.
  • Experience with any of Apache open source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent work experience).
• 8+ years of experience in data engineering or related roles, with at least 2 years in a leadership or senior technical position.
• Extensive experience with data warehousing, ETL pipelines, data modeling, and data architecture.
• Strong experience working with large-scale data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Proficient in SQL, Python, Java, or other relevant programming languages.
• Hands-on experience with cloud-based platforms (AWS, GCP, Azure).
• Familiarity with data orchestration tools like Apache Airflow or similar.
• Strong knowledge of databases (SQL and NoSQL) and data storage technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical teams.

What You’ll Do:

• Play a key role in ensuring product quality, reliability, and performance.
• Define test strategies and lead automation initiatives.
• Design and execute manual and automated tests for UI, API, and database layers.
• Develop and maintain test automation frameworks using Selenium, Playwright, Robot Framework, or similar tools.
• Write, execute, and optimize automated test scripts integrated with CI/CD pipelines (e.g., Jenkins).
• Perform API and database validations, analyze logs, debug failures, and report defects clearly.
• Collaborate closely with developers, product managers, DevOps, and stakeholders to ensure end-to-end quality.
• Write SQL queries to validate data across databases and ensure overall data accuracy, consistency, and integrity.
• Support end-to-end data validation across platforms such as ClickHouse, Spark, BigQuery, and MySQL.
• Apply strong coding, testing, and problem-solving skills to identify risks and improve test coverage.
• Contribute to the continuous enhancement of QA tools, frameworks, processes, and automation infrastructure.
• Work in a dynamic and agile development environment and adapt to changing requirements.
• Support performance testing initiatives using relevant automation and monitoring tools.

Who You Are:

• Bachelor’s degree in engineering or equivalent from a well-known Institute / University.
• 3.5+ years of hands-on experience with QA Automation Framework development & design (Preferred language: Python).
• Strong understanding of software testing methodologies and QA best practices.
• Experience with Python (preferred), or any other programming language with strong coding fundamentals, Shell scripting, Selenium / Playwright, QA Automation and Software Testing.
• Experience in Software Development / SDET roles (must-have).
• Strong problem analysis, troubleshooting, and debugging skills.
• Strong SQL and database validation skills, with the ability to identify data issues and maintain high data quality.
• Familiarity with ClickHouse, Spark, BigQuery, and MySQL is highly preferred.
• REST/API testing experience is a plus.
• Experience integrating automated tests with CI/CD pipelines and improving test coverage metrics.
• Experience working in Linux/Unix environments.
• Basic understanding of operating systems.
• Exposure to Dockerization, Virtualization, and containerized deployments is a plus.

As an Agile Project Manager (APM), you will drive the day-to-day execution rhythm for one or more delivery teams. You will ensure clarity, structure, and flow across all Agile ceremonies, maintain strong backlog hygiene, and support teams in delivering predictable, high-quality outcomes.
This role is critical in operationalising DeepIntent’s delivery methodology at the team level. Where Senior PMs operate across product lines and strategic programs, the APM ensures execution excellence within each team—making sure the fundamentals are strong, the work is well-scoped, and the team is consistently unblocked.
You will play a key role in our operating model, ensuring that Agile practices, Jira governance, and modern automation-first principles are applied effectively to maximise team throughput and quality.

• Execution & Delivery Leadership
  • Own and facilitate team-level Agile ceremonies: refinement, planning, daily standups, reviews, and retrospectives.
  • Ensure stories meet high-quality bars (acceptance criteria, categories, estimation readiness).
  • Maintain backlog hygiene and ensure a steady pipeline of well-defined work.
  • Track sprint commitments, highlight potential delivery risks, and proactively surface blockers.
  • Support teams in strengthening estimation discipline, predictable delivery, and iterative progress.
• Cross-Team Collaboration & Requirement Clarity
  • Partner closely with Product Managers and Engineering Managers to ensure requirements are complete, clear, and implementation-ready.
  • Help teams understand priorities, upcoming roadmap items, and cross-team dependencies.
  • Coordinate with other APMs/Sr PMs to align timelines, track inter-team handoffs, and resolve workflow friction.
• Process Discipline, Governance & Compliance
  • Ensure accurate capitalization tagging, Jira hygiene, and compliance with process standards.
  • Maintain documentation best practices (Confluence pages, release notes, workflow guides, etc.).
  • Uphold delivery operating model guidelines developed by the PMO.
• Reporting & Operational Insights
  • Generate foundational operational reports:
    • Team velocity
    • Burndown/burnup
    • Throughput
    • Sprint summaries
  • Provide concise status updates to PMs, EMs, and Senior PMs.
  • Support trend analysis at the team level to improve predictability and remove recurring blockers.
• AI-Enabled Productivity & Workflow Automation
  • Use AI tools (Claude, Cursor, Jira automation) to streamline repetitive operational steps.
  • Help identify opportunities for automation within ceremonies, reporting, and Jira workflows.
  • Contribute inputs to the broader Agentic Framework being developed by the Project Management team.

• 1+ years of experience in Agile project coordination, Agile delivery, or team-level project management in a technology/product environment.
• Solid understanding of Agile delivery rhythms and team execution patterns.
• Strong knowledge of Jira, Confluence, and basic reporting/dashboards.
• Ability to maintain structure, clarity, and organisation in fast-moving environments.
• Strong communicator who facilitates productive conversations and removes ambiguity.
• High emotional intelligence and comfort working with cross-functional teams.
• Interest in AI tools (Cursor, Claude) and willingness to adopt automation-first practices.
• Bonus: experience in healthcare, adtech, or data-centric product environments.