{"id":180005,"url":"https://alion.io/job/devrev-senior-data-engineer","title":"Senior Software Engineer - Data Platform","company":{"id":6541,"name":"DevRev","domain":"devrev.ai","url":"https://alion.io/company/devrev","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":20,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":88,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":139},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Flink","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Presto","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Trino","optional":true}],"status":"live","first_seen_at":"2026-08-24T03:30:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T16:17:10Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":53},"description":"About DevRev\nAt DevRev, we're building the future of work with Computer - your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers - updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.\nAbout the role:\nWe are looking for a Senior Software Engineer - Data Platform to help build and evolve the data platform that powers critical business decisions and customer-facing experiences. You will own significant parts of our data architecture that is main powerhouse of DevRev Computer’s memory for accurate and efficient Answers. As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data requirements into reliable, high-quality data products.\nThis role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization. You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team.\n\nWhat you'll do:\nOwn data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost.\nDesign, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data.\nPartner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data requirements and translate them into robust technical solutions.\nDefine and own data quality, reliability, and SLA/SLO requirements for datasets and systems within your area of ownership.\nDesign and optimize data models, databases, and complex SQL workloads, with a strong focus on query performance, storage efficiency, and scalability.\nBuild frameworks, tooling, and reusable infrastructure that make it easier for engineers and data consumers to develop and maintain data products.\nIdentify opportunities to leverage data to improve products, customer experiences, and business outcomes, and influence cross-functional teams toward high-impact solutions.\nEstablish and promote engineering best practices around testing, observability, deployment, and operational excellence for data systems.\nMentor engineers through technical guidance, design reviews, and actionable feedback, while contributing to a strong engineering culture.\nWhat you'll bring:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n5+ years of software or data engineering experience building production systems.\nStrong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills.\nStrong understanding of data structures, algorithms, and software engineering fundamentals.\nExperience designing and operating production-grade data pipelines or distributed data systems.\nExperience working with relational and/or NoSQL databases and understanding their underlying performance and scalability characteristics.\nStrong ability to independently drive projects from technical design through implementation, deployment, and operation.\nPreferred Qualifications:\nExperience designing large-scale data platforms, data warehouses, or distributed data systems.\nDeep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems.\nExperience with cloud data infrastructure and databases, including understanding of performance, scalability, reliability, and cost tradeoffs.\nExperience building and operating high-throughput or large-scale data pipelines.\nExperience working with large datasets and optimizing complex SQL queries and data processing workloads.\nExperience with distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar systems.\nStrong experience with data quality, observability, monitoring, and production reliability.\nExperience developing robust testing strategies, including unit, integration, and data quality testing.\nExperience providing technical mentorship and driving engineering best practices across teams.\nMaster’s degree in Computer Science or a related technical field.\nHow do we work?\nWhatever your role, our values describe what we ask of each other.\nBe a bridger\nLook beyond your own role. Ask questions, share context and help others get unstuck. That may mean bringing the right people together or picking up a problem that doesn’t necessarily fit neatly into your job description.\nCare loudly\nWe want your perspective, not just your agreement. Speak up when something isn’t working or someone needs support. Give honest feedback with respect for the person receiving it. Don’t let an uncomfortable conversation become an unspoken problem.\nOwn the outcome\nTake responsibility for the result, not just your part in the process. Use AI to move the work forward, not to outsource your judgment. Make the call, check whether it worked and change course when it didn’t. 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