Sr SRE

Location: IN KA Bengaluru

Time Type: Full time

Job Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Description
Role: Site Reliability Engineer
Experience Level: 5-8 Years
Work location: Bangalore, Mumbai (Hybrid)

As Site Reliability Engineer, you'll be responsible for ensuring the reliability, performance, and scalability of a
serverless platform. You'll work on improving system observability, automating operational tasks, optimizing
resource utilization, and maintaining our stringent SLOs while balancing cost efficiency. This role requires deep
technical expertise in distributed systems, cloud infrastructure, and a passion for operational excellence.

What You'll Do:

• Ensure Platform Reliability: Own the availability, latency, performance, and efficiency of NG-SIEM platform services
• Build Automation & Tooling: Design and implement automation solutions for deployment, monitoring, incident response, and capacity planning to reduce toil and improve operational efficiency
• Monitor & Optimize: Develop comprehensive observability solutions using metrics, logs, and traces; proactively identify and resolve performance bottlenecks and reliability issues
• Incident Management: Lead incident response efforts, conduct blameless post-mortems, and drive continuous improvement initiatives to prevent recurrence
• Capacity Planning: Analyze system performance data and growth trends to forecast infrastructure needs and ensure the platform scales efficiently with customer demand
• SLO/SLA Management: Define, measure, and maintain Service Level Objectives and error budgets; balance feature velocity with reliability requirements
• Cost Optimization: Implement strategies to optimize cloud resource utilization and reduce operational costs while maintaining performance and reliability standards
• Collaborate Cross-Functionally: Partner with engineering teams to improve system design for reliability, influence architectural decisions, and embed SRE best practices
• On-Call Participation: Participate in on-call rotation to provide 24/7 support for critical production systems
• Documentation: Create and maintain runbooks, operational procedures, and technical documentation to enable team scalability

What You'll Need:

• Experience in Site Reliability Engineering, DevOps, or similar roles supporting large-scale distributed systems in production environments
• Strong programming skills in at least one language (Go) for automation and tooling development
• Deep cloud expertise with hands-on experience in at least one major cloud platform (AWS or GCP) including compute, storage, networking, and managed services
• Distributed systems knowledge: Understanding of distributed system design patterns, consistency models, fault tolerance, and scalability principles
• Infrastructure as Code: Proficiency with IaC tools (Terraform) and configuration management (Ansible, Chef, Puppet)
• Container orchestration: Experience with Kubernetes, Docker, Podman and container-based deployment patterns
• Observability expertise: Hands-on experience with monitoring and observability tools (Prometheus, Grafana)
• CI/CD pipelines: Experience building and maintaining continuous integration and deployment pipelines
• Incident management: Proven track record of managing high-severity incidents and implementing preventive measures
• Data-driven approach: Ability to analyze system metrics and logs to identify trends, anomalies, and optimization opportunities
• Communication skills: Excellent verbal and written communication abilities for remote collaboration across global teams

Bonus Points:

• Massive scale experience: 3+ years owning systems handling over 1 trillion requests per day or more than 10 PB of data per day
• Multi-cloud experience: Hands-on work with hybrid or multi-cloud environments
• Database expertise: Deep knowledge of distributed databases, data lakes, or SIEM platforms (ClickHouse, Redis, MySQL)
• Security background: Exposure to cybersecurity, threat intelligence, or security operations
• Networking expertise: Advanced understanding of network protocols, load balancing, and CDN technologies.