DevOps Engineer-Hybrid
Role details
Job location
Tech stack
Job description
< data-start="678" data-end="716">Infrastructure & Architecture
- Design and implement scalable, secure, and highly available cloud infrastructure (AWS/Azure/Google Cloud Platform).
- Lead Infrastructure-as-Code (IaC) initiatives using tools like Terraform or CloudFormation.
- Architect multi-region, fault-tolerant systems.
- Drive cloud cost optimization and capacity planning strategies.
< data-start="1036" data-end="1063">CI/CD & Automation
- Design and maintain robust CI/CD pipelines across environments.
- Standardize deployment strategies (blue-green, canary, rolling updates).
- Automate provisioning, configuration, and deployment processes.
- Improve deployment efficiency and reduce failure rates.
< data-start="1338" data-end="1374">Reliability & Observability
- Define and manage SLOs, SLIs, and error budgets.
- Implement monitoring, logging, and alerting solutions.
- Lead incident management, root cause analysis, and postmortems.
- Continuously improve system reliability and reduce MTTR.
< data-start="1617" data-end="1647">Security & Compliance
- Integrate DevSecOps practices into pipelines.
- Implement secure access controls, secrets management, and IAM policies.
< data-start="1775" data-end="1810">Leadership & Collaboration
- Mentor junior engineers and promote DevOps culture.
- Collaborate with engineering, security, and product teams.
- Influence architectural decisions and improve system performance.
Requirements
We are seeking an experienced Senior DevOps Engineer to lead the design, automation, and scalability of cloud infrastructure and CI/CD platforms. This role requires strong expertise in cloud technologies, infrastructure as code, and system reliability, along with the ability to mentor teams and drive DevOps best practices across the organization., * 8+ years of experience in DevOps, SRE, or Cloud Engineering.
- Expertise in at least one cloud platform (AWS, Azure, or Google Cloud Platform).
- Strong hands-on experience with Linux systems.
- Experience with Kubernetes (production-grade clusters).
- Proficiency in CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
- Strong scripting skills (Python, Bash, or Go).
- Experience with distributed systems and microservices architecture.
- Knowledge of networking (DNS, load balancing, TLS/SSL).
- Experience with monitoring tools (Prometheus, Grafana, Datadog, ELK).
- Strong troubleshooting and problem-solving skills.