Project Role : Operations Engineer

Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement.

Must have skills : AWS Administration

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

A Principal Engineer —

- Cloud leads the hands-on design, build, and operation of large-scale cloud infrastructure across AWS and GCP. The role is accountable for engineering secure, resilient, and cost-optimized cloud platforms — building real infrastructure, writing real code, and owning outcomes end to end alongside product, security, and application engineering teams.

This individual operates as a recognized cloud engineering authority — setting platform standards, driving infrastructure automation, and solving complex distributed cloud Infrastructure challenges including having good understanding of the insurance industry. In a financial services context, engineering decisions must satisfy stringent regulatory requirements including PCI DSS, SOX, and DORA, alongside enterprise-grade reliability and availability commitments.

Roles &

- Responsibilities:

Cloud Platform Engineering

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- Design, build, and operate large-scale, cloud-native infrastructure across AWS and GCP — owning platform reliability, security posture, and cost efficiency

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- Implement and maintain infrastructure-as-code across both cloud platforms using Terraform and native tooling — enforcing standards, modularity, and drift detection

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- Build and maintain CI/CD pipelines, GitOps workflows, and deployment automation for cloud infrastructure and platform services

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- Engineer landing zones, account vending, and governance guardrails on AWS (Control Tower, SCPs) and GCP (Resource Manager, Org Policies)

AI Orchestration: High Level understanding of LangChain, LlamaIndex, CrewAI — agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows

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- Design and implement cloud networking —
- AWS VPC, Transit Gateway, Direct Connect and GCP VPC, Shared VPC, Cloud Interconnect — for hybrid and multi-cloud connectivity

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- Implement security controls across IAM, network policy, encryption, secrets management, and audit logging on both platforms

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- Drive platform observability — metrics, logging, distributed tracing, and alerting using CloudWatch, GCP Operations Suite, and third-party tooling

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- Perform capacity planning, cost analysis, and right-sizing to maintain efficient cloud spend across AWS and GCP estates

LLM &
- AI Tooling: High Level Understanding of OpenAI, Anthropic Claude, Google Gemini — prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps

Application &




- Container Platform Engineering

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- Engineer and operate Kubernetes-based container platforms —
- EKS on AWS and GKE on GCP — including cluster lifecycle, node management, networking, and security hardening

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- Define and enforce standards for microservices, APIs, event-driven architectures, and data platform integrations across cloud environments

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- Collaborate with application engineering teams on cloud-native design patterns — serverless, service mesh, and distributed data stores –
- Build and maintain developer platform tooling — internal developer portals, self-service infrastructure, and platform APIs — to accelerate engineering delivery

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- Drive observability and reliability engineering practices —
- SLIs, SLOs, error budgets, and chaos engineering — across cloud-hosted services

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- Support secure software delivery —
- SAST, DAST, container image scanning, and supply chain security in CI/CD pipelines

Technical Leadership &
- Engineering Excellence

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- Set cloud engineering standards, patterns, and reference architectures — codified in reusable Terraform modules, runbooks, and design guides

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- Lead proof-of-concept and spike work for emerging cloud technologies — making build-vs-buy recommendations grounded in engineering evidence

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- Conduct technical design reviews and production readiness assessments for cloud-hosted services

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- Mentor senior and mid-level engineers — providing hands-on guidance on IaC, cloud-native patterns, and production operations

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- Drive continuous improvement of the cloud platform — reducing toil through automation, improving reliability, and eliminating technical debt

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- Contribute engineering patterns and reusable modules back to internal platform teams and cloud centre of excellence

Professional &
- Technical Skills:

Must-Have Technical Skills

Infrastructure as Code: Terraform (advanced) — modular design, remote state, workspace strategy, and policy-as-code (Sentinel/OPA) across AWS and GCP

Containers &

- Kubernetes: EKS and GKE — cluster lifecycle, CNI, RBAC, admission controllers, network policies, and production-grade operations

Cloud Networking: Deep expertise in hybrid connectivity, multi-cloud routing, DNS strategy, and network security across both platforms

Security Engineering: IAM design, zero-trust principles, encryption at rest/in transit, secrets management (Vault, AWS Secrets Manager, GCP Secret Manager), and CSPM

CI/CD &





- Automation: GitHub Actions, ArgoCD, Terraform Cloud, or equivalent —
- GitOps workflows, pipeline security, and infrastructure deployment automation

AI Orchestration: High Level Understanding of LangChain, LlamaIndex, CrewAI — agentic workflow design, multi-agent orchestration, tool calling, human-in-the-loop workflows

Observability: Metrics, logging, and distributed tracing at scale —

- SLO engineering, alerting design, and incident response tooling

Scripting &
- Development: Python or Go — automation scripting, SDK usage for AWS and GCP, and platform tooling development

LLM &
- AI Tooling: High Level understanding of OpenAI, Anthropic Claude, Google Gemini — prompt engineering, RAG architecture, vector databases (Pinecone, Weaviate, ChromaDB), LLMOps

Incident Management: Production incident ownership, structured RCA, and reliability engineering practices in high-availability FSI environments

Cost Engineering: FinOps practices — reserved instance/committed use optimisation, tagging strategy, and cost allocation across AWS and GCP estates

Preferred / Advantageous

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Experience with service mesh (Istio or Linkerd) for microservices networking and observability

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- Familiarity with data platform engineering —
- Kafka, Spark, or cloud-native analytics services on AWS or GCP

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- Exposure to FinOps tooling —
- CloudHealth, Apptio Cloudability, or native cloud cost management platforms

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Background in platform engineering, SRE, or cloud infrastructure consulting within financial services

Additional Information

Certifications

- AWS Solutions Architect

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- Qualified GCP Professional Cloud Architect AWS DevOps Engineer

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- Professional or GCP DevOps Engineer

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- Cloud platforms on AWS and GCP are secure, observable, and reliably operated — meeting FSI SLA and regulatory requirements consistently

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- Infrastructure-as-code coverage is comprehensive — environments are reproducible, drift-free, and deployable through automated pipelines without manual intervention

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- Engineering teams across the organisation adopt platform standards, reusable modules, and cloud-native patterns — reducing bespoke build effort and improving consistency –
- Platform reliability improves measurably quarter-on-quarter —
- MTTR reduces, toil decreases, and error budgets are maintained across cloud-hosted services

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- Cross-functional stakeholders — security, application, data, and operations teams — regard the Principal Engineer as a technically authoritative, delivery-focused partner who unblocks rather than bottlenecks
- The candidate should have minimum 12 years of experience in Amazon Web Services (AWS).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

📌 Operations Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru