About Hevo: Hevo is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics. Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals including Postman, Zepto, ThoughtSpot, Whatfix, Shopify, DoorDash etc. By automating complex data integration tasks, Hevo allows data teams to focus on deriving groundbreaking insights and driving their businesses forward. Hevo’s mission is simple but bold: Build technology from India, for the world that is simple to adopt and easy to access so that everyone can unlock the potential of data. Based in San Francisco and Bangalore, Hevo has seen exponential growth since its inception. The team has grown by 3X and the customer base has expanded by a staggering 20X in just the last two years. With total funding of $42 Mil from Sequoia India, Hevo is now entering a new phase of hyper-growth. Hevoites are a bunch of thoughtful, helpful problem solvers, who are obsessed with making a difference in the lives of their customers, colleagues, and their own individual trajectory. If you are someone who is passionate about redefining the future of technology, then Hevo is the place for you. What you’ll do: The role is responsible for ensuring high-quality execution of engineering processes through Jira administration, reliability governance, workflow automation, and data-driven reporting. The role enables engineering teams to operate with accuracy, efficiency, and visibility by maintaining clean operational data, improving workflows, and building dashboards for real-time insights. Key Responsibilities: Jira Administration & Workflow Automation Design, configure, and optimize Jira workflows, transitions, automations, and validators across engineering and on-call operations. Maintain accuracy of key Jira fields including Component, Status, Hevo Error, and Awaiting User Input. Build workflow improvements that reduce manual work and enforce process consistency.Reliability & Incident Governance Review Reliability Board incidents for correctness of data (dates, source/destination, error classification). Validate mitigation timelines and coordinate with engineering for long-duration incidents (>X hours). Ensure reliability data is audit-friendly and accurately represents customer impact. On-Call Ticket Quality & MTTR Enablement Monitor weekly on-call tickets to ensure proper classification, timely closure, and correct state transitions. Track stale tickets (>2 weeks), manage non-responsive closures, and ensure tagging consistency. Improve MTTR by ensuring underlying Jira data is complete and accurate. Reporting, Dashboards & Insights Build and maintain live dashboards in Jira and Tableau covering reliability, ticket trends, SLAs, backlog, aging, and severity. Provide multi-dimensional engineering insights (platform, components, priority, customer tier, etc.). Enable leadership to make decisions based on accurate, real-time operational metrics. Program & Project Tracking Build and maintain project templates and automation frameworks for Engineering initiatives. Own centralized trackers for the engineering programs and initiatives, ensuring clarity on ownership, progress, and timelines. Improve cross-functional execution through standardized tracking and status visibility. Operational Excellence & Efficiency Identify inefficiencies in Engineering and Support workflows and implement automation-first solutions. Reduce repetitive manual effort for engineers (2–3 hours/week saved) through optimized Jira flows. Drive continuous improvement in process quality and operational governance. What will help you succeed?: Knowledge of software development lifecycle (Agile preferred) Must have familiarity with Jira Expertise in working with data (SQL, Tableau) Strong analytical and problem-solving skills Attention to detail Operational rigor Strong bias for action Excellent communication skills Ability to work cross-functionally (with Engg. teams) and drive process adherence Qualifications: 1–2 years of total and relevant experience, ideally in a tech product startup. Engineering or equivalent degree from a reputed institution.