Senior Software Engineer - GoLang & Python - Bangalore.
Confirmed live in the last 24 hours
SentinelOne
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.
As a Senior Software Engineer you will build and maintain scalable data pipelines and cloud-native services that process data from multiple Cloud Identity Providers. The role includes implementing real-time analytics, monitoring, and testing to ensure reliability and performance. You’ll collaborate with cross-functional teams to deliver high-quality, customer-focused solutions, driving both efficiency and innovation across our systems.
What will you do?
- Develop and maintain scalable data processing pipelines that handle large volumes of data from different Cloud Identity Providers.
- Implement real-time analytics and monitoring features using modern software engineering practices
- Work with cloud-native microservices and APIs that integrate with major Cloud Identity Providers
- Contribute to monitoring, alerting, and observability solutions for distributed systems
- Write comprehensive tests for all code changes, ensuring reliability and maintainability
- Participate in code reviews, pair programming, and collaborative development practices
- Collaborate with senior engineers, Product, and DevOps teams to deliver customer-focused solutions
- Conduct performance and scale testing to optimize system efficiency
- Contribute to technical documentation and knowledge sharing within the team
What Skills and Knowledge Should You Bring?
- 2+ years of software engineering experience with focus on backend development, distributed systems, or data processing
- Demonstrated commitment to code quality and testing practices throughout your career
- Experience that shows you care about the craft of software engineering
- Strong proficiency in Go, Python, or similar programming languages with understanding of software engineering best practices
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
- Basic understanding of database technologies including SQL (PostgreSQL, MySQL)
- Understanding of data formats and protocols commonly used in enterprise systems (JSON, REST APIs, message queues)
- Strong belief in testing—you write tests even when you have the freedom to skip them
- Bias toward simplicity and maintainability in software design
- Interest in performance and scale testing; you enjoy tuning systems for maximum efficiency
- Passion for craftsmanship in code quality and attention to detail
- Commitment to continuous learning and improvement <
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