Staff Software Engineer at SentinelOne

, , India -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Distributed Systems, Data Engineering, Machine Learning, Cloud Platforms, Container Orchestration, Data Pipelines, Database Technologies, Infrastructure as Code, System Design, Technical Leadership, Communication Skills, Collaboration, Testing, Performance Testing, Observability

Industry

Computer and Network Security

Description

About Us 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. 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. What Are We Looking For? SentinelOne is seeking a Staff 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 leading the architectural design and technical strategy for 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 deep experience managing intricate distributed systems, and who brings a healthy skepticism to architectural decisions. You should be the kind of engineer who tackles hard technical problems in your personal time because you genuinely enjoy it—whether that's contributing to open source, building distributed systems, or diving deep into database internals. Experience that has taught you that simplicity is a feature, not a compromise, and suffering through complex systems has reinforced the value of maintainable solutions. This role is part of the Observo AI engineering organization and will play a key role in establishing technical leadership within our growing India team. What Will You Do? Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces) Drive the development and optimization of ML-driven data routing, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic) Design and implement robust systems involving transactional queues, databases, TF-IDF indexes, and complex event processing (CEP) systems Lead technical design discussions with a bias toward simplicity, challenging assumptions and advocating for maintainable solutions Provide technical leadership and mentorship to engineers at all levels in the India team, sharing hard-won lessons about what works (and what doesn't) at scale Drive engineering culture through code reviews, technical design discussions, and championing best practices in testing and system reliability Lead cross-functional technical initiatives, collaborating with Product, Data Science, and DevOps teams across global time zones Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage Collaborate effectively with US-based engineering teams, ensuring seamless 24/7 development and support coverage What Skills and Knowledge Should You Bring? Experience & Track Record 10+ years of software engineering experience with demonstrated longevity and depth in roles, particularly in distributed systems, data engineering, or ML infrastructure Proven track record building and managing complex systems at scale in high-growth SaaS environments You've seen systems fail in production and have developed the intuition to anticipate when things won't work Experience that has taught you the hard way that simplicity is a feature, not a compromise Technical Expertise Expert-level proficiency in Go, Rust, or Java with strong understanding of system design patterns and software architecture principles Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker) Hands-on experience building data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks Strong background in database technologies including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems Deep understanding of data formats, protocols, and standards used in enterprise observability (OpenTelemetry, StatsD, syslog, JSON, Parquet) Experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines Engineering Philosophy Natural skepticism toward over-engineering and a bias toward simple, maintainable solutions Strong empathy for end users and fellow engineers who will maintain your systems Demonstrated commitment to testing—you write tests even when no one is watching Experience with performance and scale testing; you enjoy extracting every ounce of performance from a system Passion for craftsmanship in code quality and system design Communication & Collaboration Excellent communication skills with experience collaborating across engineering, product, and customer-facing teams Ability to translate complex technical concepts into clear, actionable insights for diverse audiences Track record of mentoring and elevating engineering teams Excellent cross-cultural communication skills with ability to collaborate effectively across global teams and time zones Education Bachelor's degree in Computer Science, Engineering, or related field from a top-tier institution; advanced degree preferred Fluency in English with strong written and verbal communication skills for global collaboration Bonus Points Experience with observability and monitoring tools, including platforms like Prometheus, Grafana, or ELK stack Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems Active contributor to open source projects, particularly in databases, distributed systems, or observability Exposure to functional programming languages Natural inclination to work on challenging technical problems in your personal time Why Us? You'll be joining a young, dynamic team—essentially a startup within SentinelOne—where you'll have the opportunity to solve foundational problems as we grow rapidly You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry You'll lead the technical strategy for technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale You'll be a key technical leader on the Observo AI team that's revolutionizing how organizations handle observability data, with direct impact on customer cost savings and operational efficiency You'll collaborate with and lead world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment across global teams You'll have the opportunity to shape technical direction and drive engineering excellence across cutting-edge AI/ML platforms while building technical leadership in India You'll play a crucial role in establishing SentinelOne's engineering excellence in one of the world's most dynamic technology markets Benefits Competitive salary and equity package commensurate with staff-level roles in the Indian market Comprehensive health insurance for you and your family Flexible work arrangements with hybrid office model (3 days in office) Professional development budget for conferences, training, and continuous learning Annual performance bonus and stock option participation Paid time off and public holidays Relocation assistance if needed Team building and company events including regular offsites and team activities Modern office facilities in Bengaluru with state-of-the-art technology and amenities Career growth opportunities within a rapidly expanding global technology company SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles.

Responsibilities

Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines. Drive the development and optimization of ML-driven data routing, filtering, and transformation engines.