Senior Software Engineer

1 week ago


Bengaluru, Karnataka, India SentinelOne Full time ₹ 8,00,000 - ₹ 16,00,000 per year
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 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

  • 6+ years of software engineering experience with demonstrated growth and depth in your roles, particularly in distributed systems, data engineering, or backend infrastructure
  • Track record of building and shipping production systems in high-growth environments
  • Experience working with complex systems and developing intuition for potential failure modes
  • Understanding that simplicity and maintainability are critical for long-term success

Technical Expertise

  • Strong proficiency in Go, Rust, or Java with solid understanding of system design patterns and software architecture principles
  • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker)
  • Experience building data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks
  • Working knowledge of database technologies including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems
  • 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

  • Bias toward simple, maintainable solutions over complex architectures
  • Empathy for end users and fellow engineers who will work with your code
  • Strong commitment to testing—you believe in writing tests and do so consistently
  • Interest in performance and scale testing; you care about system efficiency and optimization
  • Focus on craftsmanship in code quality and design

Communication & Collaboration

  • Strong communication skills with experience collaborating across engineering and product teams
  • Ability to explain technical concepts clearly to both technical and non-technical audiences
  • Excellent cross-cultural communication abilities for effective collaboration with US-based teams and global stakeholders
  • Willingness to learn from and mentor other engineers

Education

  • Bachelor's degree in Computer Science, Engineering, or related field from a recognized 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
  • Contributor to open source projects, particularly in databases, distributed systems, or observability
  • Exposure to functional programming languages
  • Personal projects or side work involving challenging technical problems
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 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

Benefits

  • 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. 



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