Senior Cloud Ops Engineer – Grade II

Digital.ai; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Digital.ai is seeking a Senior Cloud Ops Engineer to optimize and deploy our SaaS infrastructure. You will lead automation improvements, ensuring reliability and scalable operations across Kubernetes and AWS components.

The role involves building CI/CD and GitOps pipelines, defining SLOs, and mentoring engineers across the team. Ideal candidates have extensive Kubernetes production experience, strong AWS expertise, and a passion for security and observability.

Qualifications

• 8+ years of professional experience in cloud operations/SaaS environments.
• Expert-level AWS including EKS, IAM, VPC design and routing.
• Strong IaC experience with Terraform/OpenTofu/Pulumi/CDK.

Responsibilities

• Own production EKS clusters and AWS infra using Infrastructure as Code.
• Lead automation to reduce toil and measure outcomes.
• Drive cost, performance, and capacity optimizations including autoscaling.
• Define SLOs, incident response, and post-incident reviews.
• Improve observability with metrics, dashboards, and tracing.
• Mentor engineers and contribute to interviewing/new hires.

Skills

Kubernetes (production)

AWS (EKS, IAM)

SRE and incident response

CI/CD

GitOps

Observability

Python/Go

Security fundamentals

Education

Degree in Computer Science

Tools

Kubernetes

AWS

Terraform

OpenTofu

Pulumi

CDK

Argo CD

Flux

GitHub Actions

GitLab CI

Prometheus

Grafana

OpenTelemetry

Karpenter

Job description

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
• Over 50 worldwide government entities

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
• Buils 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.