Job description

The job in short

Backbase powers the financial experiences of many of the world's leading banks. Our engagement banking platform helps banks unify customer data, orchestrate journeys, and deliver personalized experiences across digital channels. We are increasingly AI-driven — using AI to accelerate product delivery, journey orchestration, and engineering workflows, including how we build, operate, and automate platform and release infrastructure.

Meet the job

We are hiring a System Engineer in Hyderabad for the Digital Sales team, which delivers Retail Onboarding capabilities used by leading banks across web, mobile, and backend services.

You will own the DevOps and platform foundation for this domain end to end: release and commercial-release support, CI/CD and pipeline reliability, ephemeral and shared test environments, runtime readiness, secrets and third-party connector wiring, and infrastructure automation — so engineering and quality can deliver safely and repeatedly.

This is a hands-on System Engineering / DevOps role. You partner with backend, mobile, frontend, and quality engineers in a distributed team to keep environments healthy, releases predictable, and pipelines trustworthy — and to apply AI and AI agents to automate operational work where it accelerates the team.

What you will do

Release & commercial readiness

Support major and patch releases: runtime readiness, bootstrap/flow deployment checks, and release-day operational support.
Own or improve release-readiness validations (e.g. component/BOM checks, dry-run commercial-release reliability, publishing health).
Troubleshoot publisher / workflow / packaging failures and drive durable fixes — not one-off workarounds.

Environments & runtimes

Design, create, and maintain ephemeral and shared environments for flows and journeys (mock, sandbox, and direct modes as needed).
Keep reference / staging / 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.

CI/CD, GitOps & automation

Own and improve GitHub Actions (and related) workflows across Digital Sales repositories: 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, increasingly, AI-assisted automation.

Platform & developer enablement

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.

AI in the platform

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.

How about you

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).

Preferred / 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.

What we offer

Premium customer-facing platform used by leading banks worldwide.
High-ownership System Engineer role covering releases, environments, CI/CD, and platform automation for Digital Sales / Flow 1.0.
Shape how Hyderabad grows DevOps capability — with AI as a first-class part of how we automate operations.
Global, distributed team with core hours in India and overlap with Europe.

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.