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Site Reliability Engineer

JobgetherIndia • Canada

Posted November 11, 2026

Job Description

  • This position is listed on behalf of a partner company, who manages all applications and next steps. 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.
  • Accountabilities: Design, implement, and deliver quarterly infrastructure and reliability initiatives, including platform optimisation, self-service tooling, and architectural improvements. 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. Maintain accurate technical documentation and operational runbooks while contributing to security initiatives and compliance activities, including SOC 2 audits. 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. Act as the first point of contact for platform alerts and incidents, restoring services, coordinating escalations, troubleshooting product-related issues, and leading post-incident reviews. Provide second-line technical support to Customer Success for customer requests and respond to infrastructure-related queries from teams across the organisation. Requirements: 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. Ability to write, test, deploy, and maintain Go-based tools, automation, or services. 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, HTTP, TLS, and load balancing. Familiarity with infrastructure automation, deployment pipelines, and cloud-native technologies. Strong analytical and problem-solving skills, with the ability to investigate complex technical issues and make sound operational decisions. Excellent written and verbal communication skills, with the ability to collaborate effectively across distributed teams and different time zones. A proactive, autonomous, and continuous-learning mindset, with the ability to adapt to new technologies and take ownership of technical challenges. Technical environment: Amazon EKS, Kubernetes, Terraform/Terragrunt, Helm, GitHub Actions, Argo CD, Go, MongoDB, Redis, Prometheus, and Grafana. Benefits: 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 opportunity 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. A culture built around autonomy, trust, accountability, authenticity, and continuous improvement. An inclusive and diverse working environment that values different perspectives, encourages experimentation, and supports new ideas. Opportunities to collaborate with international teams and contribute to a globally distributed technology platform.
  • 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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