Sr Software Engineer - GoLang , Linux , Distributed sys.

Confirmed live in the last 24 hours

SentinelOne

India

Hybrid

Posted January 28, 2026

Job Description

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

What Are We Looking For?

SentinelOne is seeking a Senior 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 designing, developing, and scaling high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers.

We're looking for someone who values simplicity over complexity, who has experience with distributed systems at scale, and who brings thoughtful skepticism to technical decisions. You should be the kind of engineer who enjoys tackling challenging technical problems—whether that's contributing to open source, exploring distributed systems concepts, or deepening your understanding of database internals.

This role is part of the Observo AI engineering organization and offers excellent opportunities for technical growth while contributing to our global engineering efforts. This is a hybrid role with 3 days in our Bengaluru office.

What Will You Do?

Design and implement scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces)
Build and optimize ML-driven data routing, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights
Develop real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
Build cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic)
Implement robust systems involving transactional queues, databases, and data processing pipelines
Participate in technical design discussions with a focus on practical, maintainable solutions
Collaborate with Product, Data Science, and DevOps teams across global time zones to translate customer requirements into technical solutions
Optimize system performance, cost efficiency, and reliability through continuous profiling, testing, and infrastructure improvements
Contribute to engineering culture through code reviews, testing best practices, and knowledge sharing
Stay current with emerging technologies in AI/ML, data engineering, and observability

What Skills and Knowledge Should You Bring?

Experience & Track Record

4+ years of software engineering experience with demonstrated growth and depth in your roles, particularly in distributed systems, data engineering, or backend infrastructure<

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