Senior Site Reliability Engineer

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.

SentinelOne is seeking highly experienced SRE Engineers to join the team, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for identifying opportunities to simplify and improve the reliability of our deployments, drive such changes to closure and demonstrating real impact in ease of customer onboarding.

We aim to build an SRE team around the leads and they will be responsible for core decisions around telemetry and building automated tools to identify and resolve problems without need for human intervention. The leads would also be expected to own alert management end to end, including identifying novel conditions to alert on, resolving complex performance degradation episodes or other non-functional degradation. Data pipelines are often at the heart of organization's security posture management and extreme levels of reliability are needed to support this. The ideal candidate should bring extensive expertise in both stateless and distributed persistent-data systems, with a proven track record of driving simplification and reliability in deployments and operation at scale. This role is part of the engineering organization.

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.

• De-escalate and resolve functional and non-functional problems that surface in production deployments
• Identify patterns and look for opportunities to build self-healing mechanisms for anti-fragile deployments
• Make improvements to the stack to make detection / diagnosis of rare conditions easy (preferrably self-served)
• Simplify deployments, make it easy for customers to perform one-touch deployments across a wide variety of environments with stringent security requirements.
• Identify gaps in telemetry generated by the product, partner and strategize with engineering to get the necessary telemetry built into the product as new capabilities and we build out entirely new product areas.
• Provide technical leadership and mentorship to senior and junior SREs, establishing engineering best practices and culture
• Influence technical decision-making forums and contribute to company-wide engineering standards and practices

• 10+ years of deep experience with focus on distributed systems, data engineering, or ML infrastructure in high-growth SaaS environments
• Proficiency in Go, Rust, Python, Scala etc to look into the code when necessary to understand complex conditions that manifest in production environments
• Extensive experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker) at enterprise scale
• Proven track record in leading and scaling SRE teams, protecting and nurturing emphasis on depth and accuracy in production debugging
• Strong bias for working closely and leading by example, setting high standards for everyone.
• Prior exposure or interest in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale
• Expert knowledge of observability and monitoring tools and practices, with strong intuition in high-value, low-noise alerting and monitoring.
• Strong leadership and technical communication skills with experience in managing outages involving multiple teams and stakeholders
• Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred

• 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 work on technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale
• You'll be part of 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 world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment across global teams
• You'll have access to cutting-edge AI/ML tools and platforms, with opportunity to shape the future of intelligent data processing
• You'll contribute to building SentinelOne's engineering excellence in one of the world's most dynamic technology markets

• Competitive salary and equity package aligned with senior-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 opportunities including training, conferences, and skill development programs
• Annual performance bonus and stock option participation
• Paid time off and public holidays
• Team building and company events including regular team activities and celebrations
• Modern office facilities in Bengaluru with state-of-the-art technology and amenities
• Career growth opportunities within a rapidly expanding global technology company
• Mentorship opportunities with staff and principal engineers for continuous learning

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.