Software Engineer
Sentinel LabsIndiaPosted 27 February 2026
Tech Stack
Job Description
<div class="content-intro"><h3>About Us</h3>
<p>At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.</p>
<p>From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.</p></div><h3><strong>What are we looking for?</strong></h3>
<p>SentinelOne is seeking a Software Engineer to join the Observo AI team in India, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for developing and maintaining high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers.</p>
<p>We're looking for someone who errs on the side of simplicity, who has a passion for craftsmanship in code, and who believes deeply in the value of testing. You should be the kind of engineer who writes tests even when nobody is watching—because you understand that quality matters. We value engineers who enjoy performance tuning, extracting the last ounce of efficiency from systems, and who are excited about working with databases, distributed systems, and open source technologies.</p>
<p>This role is part of the Observo AI engineering organization and offers the opportunity to work on innovative technology that directly impacts enterprise data management at scale. This is a hybrid role with 3 days in our Bengaluru office.</p>
<h4> </h4>
<h3><strong>What Will You Do?</strong></h3>
<ul>
<li>Develop and maintain scalable data processing pipelines that handle large volumes of telemetry data (logs, metrics, traces)</li>
<li>Build and enhance ML-driven data routing, filtering, and transformation components to optimize customer data volumes while preserving critical insights</li>
<li>Implement real-time analytics and monitoring features using modern software engineering practices</li>
<li>Work with cloud-native microservices and APIs that integrate with major observability platforms (Splunk, Elastic, Datadog, New Relic)</li>
<li>Contribute to monitoring, alerting, and observability solutions for distributed systems</li>
<li>Write comprehensive tests for all code changes, ensuring reliability and maintainability</li>
<li>Participate in code reviews, pair programming, and collaborative development practices</li>
<li>Collaborate with senior engineers, Product, and DevOps teams to deliver customer-focused solutions</li>
<li>Conduct performance and scale testing to optimize system efficiency</li>
<li>Learn and apply emerging technologies in AI/ML, data engineering, and observability</li>
<li>Contribute to technical documentation and knowledge sharing within the team</li>
</ul>
<h3><strong>What Skills and Knowledge Should You Bring?</strong></h3>
<ul>
<li>3+ years of software engineering experience with focus on backend development, distributed systems, or data processing</li>
<li>Demonstrated commitment to code quality and testing practices throughout your career</li>
<li>Experience that shows you care about the craft of software engineering</li>
<li>Strong proficiency in Go, Java, Python, or similar programming languages with understanding of software engineering best practices</li>
<li>Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)</li>
<li>Familiarity with data processing frameworks such as Apache Kafka, Apache Spark, or streaming technologies</li>
<li>Basic understanding of database technologies including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems</li>
<li>Understanding of data formats and protocols commonly used in enterprise systems (JSON, REST APIs, message queues)</li>
<li>Experience w ... (truncated, view full listing at source)
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