Partner with engineering teams to embed DevOps into SDLC.
Troubleshoot production issues and drive incident response.
Support multi-tenant SaaS scaling strategies.
Ideal Candidate :
36 years experience as DevOps / Cloud Engineer in SaaS or enterprise environments.
Strong expertise in AWS, Azure, or GCP.
Strong expertise in LINUX Administration.
Hands-on with Kubernetes, Docker, CI / CD tools (GitHub Actions, GitLab, Jenkins).
Proficient in - Strong scripting skills (Python, Bash).
Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
Strong grasp of cloud security best practices.
Good to Have :
Experience with multi-tenant SaaS architectures.
Exposure to AI / ML pipeline deployments.
Knowledge of iPaaS / reverse ETL connectors.
Prior startup or product-led company experience.
(ref : hirist.tech)
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Pipeline Engineer • Gurgaon
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