Senior DevOps Engineer

5 years

4 - 7 Lacs

Posted:4 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

We seek a highly skilled, hands-on Senior DevOps Engineer with a proven track record in owning and delivering DevOps for large-scale environments, with a strong focus on in-house (non-cloud) server environments. The ideal candidate is a practitioner who excels at building, automating, scaling, and maintaining high-availability systems—without compromising on performance, security, or reliability. This role demands deep technical leadership alongside a strong DevOps culture mindset, with a focus on both the latest technology and people enablement.

Key Responsibilities

Hands-On DevOps & Cloud Delivery
  • End-to-end ownership of DevOps processes for distributed high-traffic environments.
  • Design, implement, and optimize CI/CD pipelines (using Bitbucket Pipelines, Jenkins, or GitHub Actions) for automated and secure software delivery.
  • Automate infrastructure provisioning, deployment, and configuration using Ansible, HashiCorp Terraform, and similar tools.
  • Manage Windows/Linux-based systems for robust performance, security, and reliability.
  • Architect, scale, and operate Kubernetes clusters (multi-region, multi-tenant) on bare-metal servers.
  • Leverage serverless CI/CD and GitOps techniques were beneficial.

Security & DevSecOps
  • Implement DevSecOps best practices, including image scanning, policy-as-code, vulnerability management, and secure CI/CD pipelines.
  • Manage secrets and enforce least-privilege access across systems.
  • Proactively monitor and respond to infrastructure security threats and compliance requirements.
  • Observability, Monitoring & Testing
  • Deploy and manage monitoring stacks using Grafana, Prometheus, Loki; integrate distributed tracing and metrics with OpenTelemetry.
  • Implement Allure and related reporting for comprehensive test automation visibility in CI/CD.
  • Define and track advanced observability metrics (latency, error rate, SLO/SLA adherence)

Data Streaming & Messaging
  • Operate and optimize Kafka clusters and similar streaming systems for low-latency, high-throughput requirements.
AI/ML for DevOps
  • Collaboration, Documentation & Leadership
  • Act as a DevOps technical authority and mentor, providing guidance, code reviews, and knowledge sharing to junior engineers and cross-functional teams.
  • Champion DevOps culture, fostering collaboration with product, security, and engineering groups to deliver rapid, safe releases.
  • Develop and maintain clear documentation, runbooks, and incident postmortems.
  • Apply AI/ML models for anomaly detection, predictive scaling, incident analysis, and intelligent alerting within DevOps toolchains (Optional

Required Skills & Qualifications
  • 5+ years of hands-on experience as a DevOps engineer in global, production-grade SaaS/PaaS/B2B/B2C environments.
  • Expertise in designing, operating, and troubleshooting scalable bare metal servers and DevOps architectures.
  • Strong background with Kubernetes, CI/CD pipeline tooling, Linux administration, and automation frameworks (Ansible, Terraform).
  • Advanced proficiency in at least one scripting or programming language (e.g., Python, Go, Bash).
  • Demonstrated implementation of DevSecOps and modern security controls in production pipelines.
  • Skilled in modern observability stacks (Grafana, Prometheus, Loki, OpenTelemetry, VictoriaMetrics/VictoriaLogs), test automation, and incident management.
  • Ability to proactively optimize infrastructure cost, usability, and compliance.
  • Clear communicator and effective mentor, with a collaborative, product-first mindset.
  • Bachelor’s degree in computer science, Engineering, or related; relevant certifications (e.g., CKA, AWS/GCP/Azure, Security+) are a plus.
  • Proficient in database administration, performance tuning, backup & recovery, and security management using MySQL and MS SQL Server.
  • Experienced in configuring, monitoring, and troubleshooting network communication, including VPN setup and maintenance for secure connectivity
  • Experience with GitOps, AI/ML DevOps tools, and serverless automation is a strong advantage.

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