<div class="content-intro"><p><span style="font-size: 12pt;"><strong>About DevRev</strong></span></p>
<p>At DevRev, we're building the future of work with <em>Computer</em> – your AI teammate. Unlike traditional tools, <em>Computer</em> 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.</p></div><p><strong>
About
the role:</strong></p>
<div>
<p>We are looking for a <strong>Senior Data Engineer</strong> 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.</p>
<p>This role is ideal for an experienced engineer who enjoys solving challenging problems involving <strong>large-scale data, distributed systems, database architecture, and performance optimization</strong>. 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.</p>
</div>
<div><strong>&nbsp;</strong></div>
<div><strong>
What you'll do:</strong>
<div>
<ul>
<li>Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost.</li>
<li>Design, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data.</li>
<li>Partner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data
requirements and translate them into robust technical solutions.</li>
<li>Define and own data quality, reliability, and SLA/SLO
requirements for datasets and systems within your area of ownership.</li>
<li>Design and optimize data models, databases, and complex SQL workloads, with a strong focus on query performance, storage efficiency, and scalability.</li>
<li>Build frameworks, tooling, and reusable infrastructure that make it easier for engineers and data consumers to develop and maintain data products.</li>
<li>Identify opportunities to leverage data to improve products, customer experiences, and business outcomes, and influence cross-functional teams toward high-impact solutions.</li>
<li>Establish and promote engineering best practices around testing, observability, deployment, and operational excellence for data systems.</li>
<li>Mentor engineers through technical guidance, design reviews, and actionable feedback, while contributing to a strong engineering culture.</li>
</ul>
</div>
<div><strong>What you'll bring:</strong>
<div>
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>5+ years of software or data engineering experience building production systems.</li>
<li>Strong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills.</li>
<li>Strong understanding of data structures, algorithms, and software engineering fundamentals.</li>
<li>Experience designing and operating production-grade data pipelines or distributed data systems.</li>
<li>Experience working with relational and/or NoSQL databases and understanding their underlying performance and scalability characteristics.</li>
<li>Strong ability to independently drive projects from technical design through implementation, deployment, and operation.</li>
</ul>
<p class="p1"><strong>Preferred
Qualifications:</strong></p>
<ul>
<li>Experience designing large-scale data platforms, data warehouses, or distributed data systems.</li>
<li>Deep understanding of database architecture, data modeling, query optimization, indexing, partitioning, and storage systems.</li>
<li>Experience with cloud data infrastructure and databases, including understanding of performance, scalability, reliability, and cost tradeoffs.</li>
<li>Experience building and operating high-throughput or large-scale data pipelines.</li>
<li>Experience working with large datasets and optimizing complex SQL queries and data processing workloads.</li>
<li>Experience with distributed data technologies such as Kafka, Spark, Flink, Trino/Presto, BigQuery, Snowflake, or similar systems.</li>
<li>Strong experience with data quality, observability, monitoring, and production reliability.</li>
<li>Experience developing robust testing strategies, including unit, integration, and data quality testing.</li>
<li>Experience providing technical mentorship and driving engineering best practices across teams.</li>
<li>Master’s degree in Computer Science or a related technical field.</li>
</ul>
<p><br><br></p>
</div>
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</div><div class="content-conclusion"><p><em>DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</em></p></div>
About DevRev
DevRev is a business software startup focused on bringing developers closer to customers and revenue. The company aims to empower developers by integrating development and Customer Relationship Management (CRM) in a Product-Led Growth (PLG) model. This approach seeks to break down the silos between developers and end-users, allowing for direct collaboration and communication, thereby enhancing customer-centric product development.
Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.
