Senior Cloud Ops Engineer – Grade II

Digital.ai; Chennai; Sur place; INR 2 400 000 - 3 600 000; Plein temps

Résumé du poste

Digital.ai is seeking a Senior Cloud Ops Engineer - Grade II to deploy and optimize SaaS infrastructure on AWS with Kubernetes, IaC and GitOps. You will lead automation, improve reliability, and mentor engineers.

You will own SLOs, capacity planning, observability and security best practices across the platform, collaborating with product teams to deliver scalable, secure deployments.

Qualifications

• Degree or equivalent in Computer Science or related field.
• 8+ years of professional experience in cloud and ops for SaaS.
• Strong expertise across Kubernetes, AWS, IaC, and observability.
• Experience with SRE practices, incident response and post-incident reviews.

Responsabilités

• Designs, deploys and upgrades production EKS clusters and AWS infra using IaC.
• Leads automation and optimisation to reduce toil and improves reliability.
• Owns reliability outcomes, including SLOs, error budgets and capacity planning.
• Builds and improves CI/CD and GitOps pipelines for safe deployments.
• Defines metrics, dashboards and alerts to support reliability decisions.

Connaissances

Kubernetes production ops

AWS cloud expertise

Automation & IaC

Observability & monitoring

Formation

Bachelor's degree in Computer Science

Outils

Terraform

Kubernetes

GitOps tools (Argo CD, Flux)

CI/CD (GitHub Actions, GitLab CI)

Description du poste

Digital.ai is the only AI-powered software delivery platform purpose-built for the enterprise, enabling the world’s largest organizations to build, test, secure, and deliver high-quality software. By unifying

AI-driven insights, automation, and security across the software development lifecycle, Digital.ai empowers enterprises to deliver innovation with confidence. Trusted by 5,000 global enterprises, Digital.ai is redefining how enterprises build better software in an AI-driven world. Additional information about Digital.ai can be found at digital.ai and on Twitter, LinkedIn, and YouTube.

Our space and our audience:

We help our customers innovate and transition to cloud and modern architectures, deliver strong developer experience while maintaining security and control with platform engineering capabilities, develop quality and secure mobile apps, and leverage and manage AI in the SDLC. Our global clients lead their industries as innovators in digitization across financial services, retail, telco, public services, technology, manufacturing, transportation, and energy with our AI-powered DevSecOps platform. We currently serve:

• Over 50% of Fortune 100 companies
• 8 of 10 top banks
• 5 of 10 largest gaming companies
• 5 of 10 global airlines

POSITION OVERVIEW

Digital.ai is looking for a Senior Cloud Ops Engineer - Grade II to serve as a recognized subject matter expert in deploying and optimising Digital.ai’s SaaS infrastructure, leading automation and runbook improvements that reduce toil while mentoring engineers across the team.

KEY RESPONSIBILITIES

• Is considered a subject matter expert on the service across the board, with deep knowledge of its Kubernetes and AWS components
• Designs, deploys and upgrades production EKS clusters and supporting AWS infrastructure using Infrastructure as Code
• Leads automation and optimisation efforts to reduce toil, and measures the results
• Drives cost, performance and capacity optimisation, including right-sizing, autoscaling and Spot and Savings Plans strategy
• Owns reliability outcomes for major services, including SLO definition, error budgets and capacity planning
• Builds and improves CI/CD and GitOps pipelines that make deployments safer and faster for other teams
• Improves observability by defining metrics, dashboards, alerts and tracing that support both reliability and optimisation decisions
• Applies security best practice across infrastructure, including least-privilege IAM, secrets management, network policies and patching
• Takes part in a light escalation rota and leads the fix for complex incidents, driving systemic fixes through to completion
• Evaluates and introduces tooling that improves observability, deployment safety and operational efficiency
• Teaches others across multiple areas of the service, and contributes to interviewing and mentoring of new hires

REQUIRED QUALIFICATIONS / EXPERIENCE

• Degree or equivalent in Computer Science or a related field
• Typically requires 8+ years of professional experience or an advanced degree with comparable experience
• Has both deep and broad expertise across service components, and balances operational and implementation work with design work
• 4+ years running Kubernetes in production, including cluster upgrades, networking, RBAC, resource management and autoscaling (HPA/VPA, Karpenter or Cluster Autoscaler)
• Expert-level, hands-on AWS experience, including EKS, VPC design, IAM (IRSA or Pod Identity), load balancing, Route 53, S3 and multi-account structures
• Expert-level Infrastructure as Code (Terraform, OpenTofu, Pulumi or CDK), including reusable modules, remote state management and safe change rollout
• CI/CD and GitOps at scale (for example Argo CD, Flux, GitHub Actions or GitLab CI)
• Hands-on observability experience with metrics, logs and traces (for example Prometheus, Grafana, OpenTelemetry), used to find optimisation opportunities as well as to alert
• Track record of measurably improving the reliability, performance or cost of a production SaaS service, with concrete results
• Strong scripting or programming skills in Python, Go or Bash
• Working knowledge of Linux, container runtimes and networking (DNS, TLS, load balancing), and of security fundamentals such as least-privilege IAM, secrets management and image scanning
• Working knowledge of SLOs, incident response and post-incident reviews, with the ability to lead the response to a complex incident
• Proficient in AI-assisted monitoring, log analysis and predictive alerting; evaluates and implements AIOps tools to reduce toil and improve incident response times
• Proficient spoken and written English
• Work hours aligned with Central European Time (UTC+1)

PREFERRED QUALIFICATIONS

• Kubernetes or AWS certifications (CKA, CKS, AWS Solutions Architect or DevOps Engineer Professional)
• Experience with cloud cost optimisation and FinOps practices, including tools such as Kubecost and reporting savings to leadership
• Experience owning SLOs/SLAs for a production service
• Experience with disaster recovery planning, multi-region design, chaos engineering or resilience testing
• Platform engineering experience, such as self-service tooling, golden paths, Backstage or Crossplane
• Experience with service mesh or advanced networking (Cilium/eBPF, Istio, Linkerd)
• Experience with policy as code and supply chain security (OPA/Gatekeeper, Kyverno, cosign, SBOMs)
• Experience leading large migrations, for example self-managed Kubernetes to EKS
• Experience participating in or leading on-call rotations and incident response programs

EQUAL EMPLOYMENT OPPORTUNITY

Digital.ai is firmly committed to Equal Employment Opportunity (EEO). We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation. For individuals with disabilities who would like to request an accommodation, please advise us within your job application or cover letter.