Senior DevOps Engineer

Location: Gurugram, India

Department: Technology

Experience: 5-8 Years

Skills: AWS / Azure / GCP, SRE practices, argocd, Docker, Project Delivery, terraform, Kubernetes, DevOps

AWS / Azure / GCP | Multi-Client Ownership | Technical Leadership

About the Role

Key Responsibilities

1. Cloud Infrastructure & Architecture

• Design, deploy, manage, and optimize production cloud environments across AWS, Azure, and/or GCP.
• Design and review highly available, scalable, secure, and cost-efficient cloud architectures.
• Work extensively with core cloud services including compute, storage, databases, networking, IAM, and load balancers.
• Own production workloads on EKS, AKS, GKE, including cluster design, upgrades, scaling, troubleshooting, and maintenance.
• Evaluate architectural options and recommend solutions based on client requirements, technical constraints, and business objectives.
• Identify technical debt, architectural risks, and opportunities to improve reliability, scalability, security, and operational efficiency.
• Implement and improve backup, disaster recovery, high availability, and business continuity practices.

2. Kubernetes, Infrastructure as Code & Automation

• Design and operate production Kubernetes environments, addressing challenges related to networking, scheduling, scaling, resource utilization, availability, and application behavior.
• Establish reusable Kubernetes and infrastructure patterns across client environments.
• Develop and maintain infrastructure using Terraform and Infrastructure as Code best practices.
• Build reusable IaC modules and standards to improve consistency, scalability, and operational reliability.
• Design and implement scalable CI/CD and GitOps workflows using tools such as ArgoCD, Flux, Spinnaker, or similar platforms.
• Automate operational processes using Bash, Python, and other appropriate scripting or automation tools.
• Identify and eliminate repetitive operational work through automation and engineering improvements.

3. Reliability, Monitoring & Production Operations

• Own production reliability and operational excellence across assigned client environments.
• Lead troubleshooting of complex infrastructure, Kubernetes, networking, and application performance issues.
• Configure and improve monitoring, logging, alerting, and observability using tools such as Prometheus, Grafana, Coralogix, New Relic, Datadog, CloudWatch, or equivalent platforms.
• Define appropriate SLIs, SLOs, dashboards, and alerting standards for production environments.
• Lead production incident response, root cause analysis, and preventive remediation initiatives.
• Identify systemic reliability risks and drive improvements to prevent recurring incidents.

4. Security & Compliance

• Implement cloud security best practices across infrastructure and production environments.
• Apply principles of IAM, RBAC, least privilege, secrets management, vulnerability management, and OS hardening.
• Identify security gaps and incorporate security considerations into infrastructure and architecture decisions.
• Work with engineering teams to improve the overall security posture of client environments.

5. Cloud Cost & Performance Optimization

• Drive cloud cost and resource optimization initiatives across client environments.
• Identify cloud waste through right-sizing, capacity planning, workload optimization, and appropriate cloud pricing models.
• Balance cost, performance, reliability, security, and scalability when making technical decisions.
• Contribute to FinOps practices and help clients achieve sustainable cloud cost efficiency.

6. Client & Stakeholder Leadership

• Own the technical relationship for approximately 2–3 client environments.
• Lead technical discussions with client engineering teams, architects, and leadership stakeholders.
• Translate business requirements into practical, scalable, and maintainable technical solutions.
• Present architecture recommendations, technical risks, trade-offs, and improvement plans to clients.
• Handle technical escalations and production incidents with clear ownership and proactive communication.
• Challenge inefficient or technically risky approaches and recommend better alternatives.
• Build client trust through technical credibility, effective communication, and predictable delivery.

7. Team Leadership & Mentoring

• Provide technical leadership to a team of 3–5 engineers across assigned client environments.
• Plan and delegate work based on technical capability, priorities, client requirements, and business impact.
• Review technical implementations and ensure adherence to engineering standards and best practices.
• Mentor engineers and actively contribute to their technical development.
• Identify capability gaps and create opportunities for knowledge sharing and skill development.
• Provide technical guidance during complex incidents, design discussions, and implementation challenges.
• Maintain accountability for technical quality and delivery standards.

Engineering Expectations

• Make independent and well-reasoned technical decisions in complex or ambiguous production situations.
• Evaluate trade-offs across reliability, scalability, security, performance, cost, and complexity.
• Demonstrate strong ownership of production systems and follow issues through to resolution.
• Establish and continuously improve engineering and operational standards.
• Proactively identify technical debt, operational risks, and improvement opportunities.
• Approach problems with a structured, analytical, and solution-oriented mindset.

Required Skills & Experience

Must Have

• 5–8 years of hands-on experience in DevOps, Cloud Engineering, SRE, or a similar role.
• Strong production experience with AWS, Azure, and/or GCP.
• Strong hands-on experience with Kubernetes, preferably EKS, AKS, or GKE.
• Strong experience with Terraform and Infrastructure as Code.
• Strong understanding of CI/CD and GitOps practices.
• Strong Linux and networking fundamentals.
• Proven experience troubleshooting complex production environments and handling incidents.
• Strong scripting and automation skills using Bash, Python, or equivalent.
• Good understanding of cloud security fundamentals.
• Experience designing and reviewing production architectures.
• Demonstrated ownership of production environments and technical initiatives.
• Experience mentoring or providing technical leadership to engineers.
• Strong written and verbal communication skills.
• Experience working with multiple clients, products, or production environments simultaneously.

What Success Looks Like

• Independently own 2–3 client environments and their technical outcomes.
• Lead and mentor 3–5 engineers while maintaining high engineering standards.
• Resolve complex production incidents and technical escalations effectively.
• Review and continuously improve client architectures.
• Make sound technical decisions with minimal supervision.
• Drive measurable improvements in reliability, security, automation, performance, and cloud cost.
• Lead technical conversations confidently with client stakeholders.
• Identify risks and improvement opportunities proactively rather than responding only to incidents.
• Raise the technical maturity and engineering capabilities of the team.