This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff DevOps Engineer based in India.
This is a high-impact technical leadership role within a global Infrastructure Platform team responsible for operating large-scale, cloud-native SaaS infrastructure.
You will shape the architecture, reliability, security, and scalability of platforms running across AWS, Azure, and GCP.
A major focus will be Kubernetes leadership, including EKS, AKS, service mesh, GitOps, and cloud-native deployment patterns.
You will also help advance AI-assisted and agentic automation across DevOps and SRE workflows.
The role offers significant organizational influence through architecture decisions, technical standards, mentoring, and cross-functional leadership.
You’ll work with globally distributed engineering teams across India, the US, EMEA, and APAC in a fast-paced 24×7 environment.
This is an individual-contributor leadership position with substantial scope to improve reliability, automation, security, and engineering productivity.
Accountabilities:
- Lead cloud infrastructure strategy: Design, build, and evolve resilient, secure, scalable, and cost-efficient multi-account cloud infrastructure, primarily across AWS while supporting Azure and GCP environments.
- Drive Kubernetes excellence: Serve as a technical authority for production Kubernetes, including EKS and AKS cluster architecture, upgrades, networking, storage, capacity planning, security, multi-tenancy, and troubleshooting.
- Own service mesh capabilities: Design and operate production service mesh solutions, implementing secure service-to-service communication, mTLS, traffic management, observability, resilience, and progressive delivery.
- Establish platform standards: Define and promote best practices for Kubernetes, cloud networking, IAM, secrets management, infrastructure governance, workload design, Helm, deployment patterns, and security controls.
- Advance Infrastructure as Code and GitOps: Automate infrastructure provisioning, deployment, monitoring, incident response, and capacity management using Terraform, CI/CD, GitOps, and related platform engineering practices.
- Strengthen reliability and operations: Improve SLIs, SLOs, error budgets, observability, runbooks, incident response, on-call practices, post-incident reviews, and systemic remediation across a 24×7 SaaS environment.
- Support security and compliance: Help implement secure platform controls and maintain infrastructure aligned with requirements such as PCI DSS, including audit readiness, governance, and secure-by-design practices.
- Champion AI-enabled operations: Introduce LLM-based tooling, AI coding assistants, and agentic workflows to improve infrastructure development, incident triage, root-cause analysis, deployment validation, compliance checks, and operational efficiency.
- Build safe AI automation: Establish appropriate guardrails, observability, cost controls, and human-in-the-loop practices for production AI and agentic workflows, including solutions built with services such as Amazon Bedrock.
- Provide technical leadership: Influence engineers across teams and geographies without direct management responsibility, drive consensus on architecture, contribute to critical escalations, and raise engineering standards.
- Mentor engineering talent: Coach Staff, Senior, and mid-level engineers while documenting reusable patterns, sharing technical knowledge, and encouraging stronger engineering practices.
- Lead strategic initiatives: Drive cross-functional projects that improve uptime, deployment velocity, cloud consistency, cost efficiency, operational toil, and engineering productivity.
Requirements
- Experience: 12+ years working in 24×7 production operations and highly available SaaS or cloud environments, with prior experience as a technical lead or Staff+ individual contributor in a global engineering organization.
- Cloud expertise: 5+ years of hands-on experience with multi-account AWS infrastructure, including AWS Organizations, Account Factory, guardrails, SCPs, landing zones, networking, IAM, and cross-account connectivity.
- Kubernetes: 5+ years of production Kubernetes experience at scale, with deep expertise in EKS and/or AKS, cluster operations, networking, storage, security, workload management, and performance optimization.
- Infrastructure as Code: 5+ years of Terraform experience managing infrastructure across multiple AWS accounts and regions.
- CI/CD & GitOps: 5+ years designing and implementing CI/CD pipelines for Terraform, Kubernetes, and microservices, plus practical experience with GitOps platforms such as ArgoCD, Kargo, or Flux.
- Programming & systems: Strong Python, Go, or similar programming skills combined with advanced shell scripting and solid knowledge of Linux, networking, distributed systems, and production troubleshooting.
- Service mesh: Hands-on experience implementing and operating a production service mesh such as Istio, Linkerd, or AWS App Mesh.
- Observability: Experience with monitoring and logging technologies such as Prometheus, Grafana, OpenSearch, or equivalent platforms.
- SRE practices: Strong understanding of SLIs, SLOs, error budgets, incident management, observability, reliability engineering, and operational excellence.
- AI & automation: Experience applying AI tools on AWS or equivalent platforms to improve engineering productivity, automation, or operational efficiency; experience with Amazon Bedrock, LLM agents, or agentic workflows is highly valuable.
- Security & compliance: Experience designing secure cloud platforms and familiarity with regulated enterprise environments; knowledge of PCI DSS and related compliance practices is preferred.
- Regional infrastructure: Experience supporting data sovereignty or regional cloud deployments is a plus, particularly across markets with specific residency requirements.
- Leadership: Strong interpersonal and communication skills, with the ability to influence engineers and stakeholders across teams, time zones, and organizational boundaries.
- Education: Bachelor’s or Master’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
- Working style: Self-directed, collaborative, adaptable, quality-focused, and comfortable operating in a complex, fast-moving environment where technical decisions have broad organizational impact.
Benefits
- Fully remote position for candidates based in India.
- Opportunity to work on large-scale, cloud-native infrastructure supporting a global enterprise SaaS platform.
- Significant technical influence and ownership without requiring people management.
- Exposure to AWS, Azure, GCP, Kubernetes, service mesh, GitOps, and Infrastructure as Code at scale.
- Opportunity to lead the adoption of AI-assisted and agentic DevOps workflows, including LLM-powered automation.
- Collaboration with globally distributed engineering teams across India, US, EMEA, and APAC.
- Scope to shape platform architecture, engineering standards, reliability practices, and long-term infrastructure strategy.
- Opportunities to mentor experienced engineers and establish yourself as a subject-matter expert across the broader engineering organization.
- Participation in strategic initiatives focused on automation, reliability, security, cost efficiency, and engineering productivity.
- Inclusive workplace committed to equal opportunity and reasonable accommodations throughout the hiring process.
- Opportunity to contribute to a modern engineering environment focused on innovation, operational excellence, and continuous improvement.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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