Site Reliablity Engineer

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Site Reliability Engineer in India. This role is focused on building and maintaining highly reliable, scalable, and secure distributed systems that support global, large-scale cybersecurity platforms. You will be responsible for ensuring system availability, performance, and resilience across multi-region cloud environments. The position involves close collaboration with engineering and development teams to improve deployment processes, strengthen observability, and enhance infrastructure automation. You will work on Kubernetes-based architectures, cloud-native tooling, and CI/CD pipelines to support continuous delivery at scale. A strong emphasis is placed on incident response, root cause analysis, and proactive system optimization. This is a high-impact engineering role where reliability engineering directly supports mission-critical security services used by organizations worldwide.
• Accountabilities: Deploy, manage, and scale distributed systems across multi-region cloud environments with a focus on high availability and performance. Design, maintain, and optimize Kubernetes-based infrastructure for large-scale production workloads. Build and manage Helm charts to enable consistent, automated, and repeatable deployments. Implement and maintain infrastructure-as-code solutions using tools such as Terraform and related automation frameworks. Monitor system health using observability tools such as Grafana, Prometheus, and logging stacks, ensuring proactive issue detection and resolution. Collaborate with development teams to improve CI/CD pipelines, deployment reliability, and production readiness. Lead incident response, troubleshooting, and root cause analysis for production issues. Develop and maintain runbooks, operational documentation, and best practices for system reliability. Drive continuous improvements in scalability, performance, automation, and cloud infrastructure efficiency. Support multi-region deployment strategies and global infrastructure optimization initiatives. Requirements: 4–5 years of experience in Site Reliability Engineering, DevOps, or similar infrastructure-focused roles. Strong hands-on experience with Kubernetes in production environments. Experience with cloud platforms, especially AWS (EKS, VPC, S3, IAM, ECR, and related services). Solid understanding of infrastructure-as-code tools such as Terraform and Git-based workflows. Experience building and managing CI/CD pipelines and automation systems. Proficiency in Helm charts and containerized deployment strategies. Strong scripting skills in Bash and familiarity with at least one programming language (Go or Python preferred). Experience working with distributed systems, microservices architectures, and cloud-native ecosystems. Strong debugging, troubleshooting, and problem-solving skills in production environments. Experience with observability tools such as Grafana, Prometheus, Loki, or similar stacks. Benefits: Opportunity to work on global-scale, mission-critical cybersecurity infrastructure Exposure to advanced cloud-native technologies and distributed systems architecture Flexible and remote-friendly work environment Strong focus on engineering excellence, ownership, and continuous learning Global collaboration with high-performing engineering teams Career growth in SRE, platform engineering, and cloud infrastructure domains Inclusive, innovation-driven culture focused on impact and reliability.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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