Lead Software Engineer - Site Reliability

Key Responsibilities

• Design and implement tools to improve availability, latency, scalability, and system health.

• Define SLIs/SLOs, manage error budgets, and drive performance engineering efforts.

• Build and maintain automated monitoring, alerting, and remediation pipelines.

• Collaborate with engineering teams to improve reliability by design.

• Lead incident response, root cause analysis, and blameless postmortems.

• Champion observability across services logs, metrics, traces.

• Contribute to infrastructure architecture, automation, and reliability roadmaps.

• Advocate for SRE best practices across teams and functions.

Requirements

• 4-12 years of experience in SRE, DevOps, or Production Engineering roles.

• Coding Proficiency: Develop clear, efficient, and well-structured code.

• Linux Expertise: In-depth knowledge of Linux for system administration and advanced troubleshooting.

• Containerization & Orchestration: Practical experience with Docker and Kubernetes for application deployment and management.

• CI/CD Management: Design, implement, and maintain Continuous Integration and Continuous Delivery pipelines.

• Security & Compliance: Understand security best practices and compliance in infrastructure.

• High Availability & Scalability: Design and implement highly available, scalable, and resilient distributed systems.

• Infrastructure as Code (IaC) & Automation: Proficient in IaC tools and automating infrastructure provisioning and management.

• Disaster Recovery (DR) & High Availability (HA): Deep knowledge and practical experience with various DR and HA strategies.

• Observability: Implement and utilize monitoring, logging, and tracing tools for system health.

• System Design (Distributed Systems): Design complex distributed systems with a focus on reliability and operations.

• Problem-Solving & Troubleshooting: Excellent analytical and diagnostic skills for resolving complex system issues. Qualifications

Technical Skills & Experience

• Extensive hands-on experience of 4-12 Years with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and distributed NoSQL systems (e.g., Cassandra, MongoDB, DynamoDB).

• Proven track record of designing and operating databases in large-scale cloud-native environments (AWS, GCP, Azure).

• Strong programming skills in Python, Go, or Bash for building infrastructure tooling and automation frameworks.

• Expertise with Infrastructure as Code (Terraform, Helm, Ansible) and Kubernetes for managing production database systems.

• Deep knowledge of database replication, clustering, backup/restore, and failover techniques.

• Advanced experience with observability tooling (Prometheus, Grafana, Datadog, New Relic) for monitoring distributed databases.

• Strong communication skills and ability to influence across teams and levels.

• Degree in Computer Science, Engineering, or related field.

• Experience building and scaling services in production with high uptime targets (99.99%+).

• Clear track record of reducing incident frequency and improving response metrics (MTTD/MTTR).

• Strong communicator who thrives in high-pressure environments.

• Passionate about automation, chaos engineering, and making things just work.