This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in India.
As a DevOps Engineer, you will help build and operate reliable, scalable infrastructure and deployment systems in a modern cloud-native environment. You will work hands-on with Kubernetes, Amazon Web Services (AWS), Continuous Integration and Continuous Delivery (CI/CD), and Infrastructure as Code (IaC). The role combines infrastructure automation, observability, production support, and reliability engineering to improve how software is deployed and operated. You will partner closely with developers to strengthen deployment workflows and enhance the overall developer experience. A key part of the position is identifying repetitive operational work and replacing it with efficient, automated solutions. You will also investigate complex production issues across infrastructure, networking, Kubernetes, and applications. This is an opportunity to make a direct impact on system reliability, scalability, security, and operational excellence within a fast-moving engineering environment.
Accountabilities
- Build, maintain, and continuously improve CI/CD pipelines to enable reliable, efficient, and repeatable software deployments.
- Deploy, manage, monitor, and scale containerized workloads on Kubernetes.
- Design, implement, and manage cloud infrastructure using AWS and its core infrastructure services.
- Automate infrastructure provisioning and management using Terraform and/or OpenTofu.
- Apply Infrastructure as Code (IaC) principles to create repeatable, scalable, and maintainable environments.
- Develop and maintain monitoring, alerting, dashboards, logging, and observability workflows.
- Configure and use Grafana and other observability and monitoring platforms to track system health and performance.
- Monitor infrastructure and application performance, availability, reliability, and operational health.
- Troubleshoot and resolve production issues involving infrastructure, networking, Kubernetes, cloud environments, and applications.
- Identify opportunities to improve system reliability, scalability, security, deployment efficiency, and operational processes.
- Collaborate closely with software developers to improve developer experience, deployment workflows, and infrastructure practices.
- Identify repetitive manual operational tasks and automate them wherever possible.
- Support highly available production environments and contribute to continuous improvements in operational excellence.
Requirements
- 3+ years of hands-on experience in DevOps, cloud engineering, infrastructure engineering, or a closely related field.
- Strong practical experience with Kubernetes and containerized application environments.
- Good working knowledge of AWS and its core infrastructure services.
- Hands-on experience designing, implementing, and maintaining CI/CD pipelines.
- Experience with Terraform and/or OpenTofu.
- Strong understanding of Infrastructure as Code concepts, practices, and automation principles.
- Experience with observability, monitoring, logging, alerting, and infrastructure performance management.
- Hands-on experience with Grafana.
- Strong understanding of Linux, networking, Domain Name System (DNS), load balancing, and fundamental cloud infrastructure concepts.
- Ability to independently diagnose and resolve production, infrastructure, and application issues.
- Comfortable working in a fast-moving engineering environment and taking ownership of operational challenges.
- Experience operating large-scale or distributed systems is preferred.
- Experience with GitOps and Kubernetes deployment tools is a plus.
- Experience with Helm is a plus.
- Familiarity with Prometheus, OpenTelemetry, logs, metrics, and traces is advantageous.
- Scripting and automation experience using Python, Bash, or similar tools is preferred.
- Previous experience with observability, developer infrastructure, DevOps, or cloud-native products is a plus.
Benefits
- Opportunity to contribute to a cutting-edge open-source project with a growing community.
- Collaborative and dynamic work environment with a remote-friendly culture.
- Professional development opportunities, including conference sponsorships and training.
- Flexible working hours.
- Health benefits.
- Stock options.
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!
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.
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