Senior Platform Engineer

Overview

Own the DevOps and platform foundation for the Digital Sales Retail Onboarding domain, enabling engineering and quality teams to deliver releases safely and repeatedly.

What you'll do

• Support major and patch releases, including runtime readiness, bootstrap/flow deployment checks, and release-day operational support.
• Own or improve release-readiness validations, such as component/BOM checks, dry-run commercial-release reliability, and publishing health.
• Troubleshoot publisher, workflow, and packaging failures and drive durable fixes rather than one-off workarounds.
• Design, create, and maintain ephemeral and shared environments for flows and journeys (mock, sandbox, and direct modes as needed).
• Keep reference, staging, and performance runtimes healthy for development and test execution.
• Wire Grand Central / connector connectivity, deploy credentials as secrets, and enable feature flags or payload options required for journey testing.
• Own and improve GitHub Actions (and related) workflows across Digital Sales repositories, including tagging schemes, quality gates, smoke/regression hooks, and pipeline stability.
• Work with containers and Kubernetes; manage configuration with Helm / Terraform and GitOps practices (Argo CD or equivalent).
• Automate repetitive DevOps tasks with Python / Go scripting and AI-assisted automation.
• Partner with mobile and backend engineers on CI implications of repo/structure changes (e.g. modular monorepos, multi-module publish, migration effort).
• Improve observability and feedback loops (metrics, dashboards, logs/traces) so failures are visible early.
• Document runbooks and environment patterns in Confluence; collaborate in Jira with a distributed team.
• Participate in on-call / incident response for production and critical shared environments when required.
• Use AI and AI agents to accelerate environment setup, pipeline diagnosis, runbook generation, and operational automation.
• Explore and apply relevant AI infrastructure patterns (LLM gateways, observability for AI workloads, MCP/RAG/agents) where they improve how the team builds and operates.

What you'll need

• At least 7 years in a similar System Engineer / DevOps / Platform role running production workloads on public cloud (Azure preferred; AWS or GCP also welcome).
• Strong Linux skills.
• Containerisation (Docker / containerd): configuration, optimisation, monitoring, troubleshooting.
• Kubernetes experience at a high level (AKS preferred / GKE or equivalent): deploy, operate, debug.
• Observability: Prometheus, Grafana, OpenTelemetry (or equivalent) and a solid grasp of metrics / SLIs.
• Infrastructure as Code, config management, GitOps: Terraform, Helm, Argo CD (or equivalent).
• Automation and programming/scripting: Python and/or Go.
• Hands-on CI/CD (preferably GitHub Actions; Jenkins or similar also fine).
• Experience creating and operating test / ephemeral environments, secrets management, and integrating third-party connectors / APIs into bank-grade platforms.
• Proven release support experience (commercial or product releases, packaging/publishing, runtime validation).
• Deep understanding of infrastructure security and IAM practices.
• Hands-on experience automating operational work with AI and working with AI agents.
• Strong troubleshooting skills; experience with on-call or production incident handling.
• Excellent communication in distributed teams (India + Europe).

Nice to have

• Experience working with AI infrastructure is a big plus.
• Cloud AI solutions: Azure AI / Azure OpenAI, Amazon Bedrock, or similar.
• Observability and security for AI workloads (e.g. Langfuse).
• LLM gateways (e.g. LiteLLM), vector databases.
• Designing, deploying, or maintaining MCP, RAG, or agent systems.
• Digital banking / onboarding / journey-platform experience.
• Mobile CI familiarity (Android/iOS publish pipelines, monorepo CI).
• Azure-heavy enterprise environments; Helm charts for multi-service banking stacks.

Details

• Location: Hyderabad, India.
• Global, distributed team with core hours in India and overlap with Europe.