Our partner is looking for a Site Reliability Engineer based in India.

As a Site Reliability Engineer, you will play a key role in maintaining, scaling, and improving a globally distributed cloud-based API management platform. You will work across infrastructure and software engineering, combining hands-on development with operational expertise to enhance platform reliability, performance, and efficiency. You will contribute to the evolution of multi-region Kubernetes environments while helping expand the platform across different cloud providers. Working within a small, centralised SRE team, you will collaborate closely with product and engineering teams to automate operations, improve observability, and build scalable solutions. You will also take ownership of production incidents, ensuring services remain reliable for customers worldwide. This is an opportunity to make a significant technical impact in a remote-first, autonomous, and highly collaborative environment.

Support the expansion of cloud infrastructure across multiple regions and providers while optimising operational costs and resource utilisation.

Develop, automate, test, and maintain infrastructure tooling and services using Go, including custom Kubernetes operators.

Operate, maintain, and troubleshoot production services and databases, particularly MongoDB and Redis.

Strengthen platform observability by identifying relevant performance and reliability metrics and developing effective dashboards, monitoring systems, and alerts using Prometheus and Grafana.

Manage and improve Kubernetes infrastructure, ensuring scalability, availability, and operational resilience.





Participate in the on-call rotation, initially one week in three, with a planned transition to one week in four as the team expands. Shifts run Monday to Friday, from 02:00 to 14:00 UTC, with secondary backup support.

Provide second-line technical support to Customer Success for customer requests and respond to infrastructure-related queries from teams across the organisation.

At least 3 years of professional experience in Site Reliability Engineering, platform engineering, or infrastructure engineering, ideally gained across multiple companies or production environments.

Proven experience independently managing on-call responsibilities, responding to production incidents, and coordinating incident resolution.

Strong hands-on experience operating, upgrading, and troubleshooting large-scale, multi-tenant Kubernetes clusters, ideally using Amazon EKS.

Practical experience designing, deploying, and maintaining cloud infrastructure on AWS, using Terraform or comparable infrastructure-as-code tools.

Experience with monitoring and observability technologies, particularly Prometheus and Grafana, as well as logging solutions.

Solid understanding of Linux systems administration and networking fundamentals, including DNS, TCP/IP, TLS, and load balancing.





Familiarity with infrastructure automation, deployment pipelines, and cloud-native technologies.

Amazon EKS, Kubernetes, Terraform/Terragrunt, Helm, GitHub Actions, Argo CD, Go, MongoDB, Redis, Prometheus, and Grafana.

Unlimited paid annual leave, encouraging employees to maintain a healthy work-life balance.

Fully remote working environment with extensive flexibility over working hours and daily schedules.

Employee share scheme, providing an prospect to participate in the company's growth.

Generous maternity and paternity leave policies.

Dedicated volunteering days to support community involvement and social impact.

Access to an employee wellbeing platform and resources supporting personal and professional wellness.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. 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). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.

📌 Sre - site reliability engineer - remote (India)
🏢 Jobgether
📍 India