Senior DevOps Engineer
New
T
TechnologyAdviceB2B Technology
India (Remote), 1:30 PM to 10:30 PM ISTContractSenior
Salary1,500 - 2,000 INR per year
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Job Details
- Required Skills
- AWSDockerPythonBashKubernetesCI/CDLinuxTerraform
Requirements
- Deep experience designing, operating, troubleshooting, and improving highly available production systems in cloud environments.
- Strong experience with Kubernetes, containerization, and modern cloud-native infrastructure.
- Strong experience designing and managing infrastructure through Infrastructure as Code using Terraform, OpenTofu, or similar technologies.
- Strong understanding of CI/CD, GitOps, automated deployment practices, and modern software delivery workflows.
- Demonstrated experience improving production observability through monitoring, logging, tracing, alerting, and incident-management practices.
- Strong understanding of reliability engineering, including failure modes, resilience, capacity, recovery, and operational risk.
- Strong Linux and systems troubleshooting skills.
- Strong experience operating production workloads in AWS or a comparable cloud platform.
- Strong scripting or programming ability using Python, Bash, or another appropriate language.
- Working knowledge of networking, DNS, CDN/WAF technologies, load balancing, TLS, and modern application-delivery architecture.
- Demonstrated ability to effectively leverage AI-assisted engineering tools for infrastructure development, troubleshooting, and automation.
Responsibilities
- Own and continuously improve the cloud infrastructure and platform capabilities that support applications, data systems, and engineering teams.
- Independently identify opportunities to improve system reliability, scalability, security, performance, cost efficiency, developer experience, and operational effectiveness.
- Design, build, and maintain secure, scalable cloud infrastructure using modern infrastructure-as-code and cloud-native engineering practices.
- Engineer away repetitive operational work by building automation, self-service capabilities, reusable infrastructure patterns, and platform tooling.
- Improve Kubernetes and container-based infrastructure to make application deployment, scaling, recovery, and operations increasingly standardized and reliable.
- Own and evolve CI/CD and GitOps workflows that allow engineers to ship changes quickly, consistently, and safely.
- Partner directly with Software Engineers, Product Engineers, Analytics Engineers, and other Technology teams to understand operational friction and build platform solutions.
- Improve observability across applications and infrastructure through effective monitoring, logging, tracing, alerting, and dashboards.
- Lead technical investigation during complex production incidents and drive issues through to systemic resolution.
- Apply AI-assisted engineering practices to accelerate infrastructure development, troubleshooting, and operational workflows.
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