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 doRelease & 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.
- 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.
- 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.
- 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.
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).
- 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.
- 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.
Skills Required
- At least 7 years of experience in System Engineering, DevOps, or Platform Engineering roles running production workloads on public cloud
- Strong Linux skills and experience with Docker or containerd
- High-level Kubernetes experience, preferably with AKS, GKE, or equivalent
- Experience with Prometheus, Grafana, OpenTelemetry, or equivalent observability tools
- Experience with Terraform, Helm, Argo CD, or equivalent infrastructure-as-code, configuration-management, and GitOps tools
- Automation and programming experience with Python and/or Go
- Hands-on CI/CD experience, preferably GitHub Actions
- Experience creating and operating test and ephemeral environments
- Experience with secrets management and third-party connector or API integration
- Proven release support experience, including packaging, publishing, and 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 and experience with on-call or production incident handling
- Excellent communication skills in distributed teams
- Experience with AI infrastructure
- Experience with Azure AI, Azure OpenAI, Amazon Bedrock, or similar cloud AI solutions
- Experience with observability and security for AI workloads, such as Langfuse
- Experience with LLM gateways, vector databases, MCP, RAG, or agent systems
- Digital banking, onboarding, or journey-platform experience
- Mobile CI familiarity, including Android or iOS publishing pipelines and monorepo CI
- Azure-heavy enterprise environment experience and Helm charts for multi-service banking stacks
Backbase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Backbase and has not been reviewed or approved by Backbase.
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Fair & Transparent Compensation — Pay is considered fair in certain U.S. roles, with strong offers in senior engineering, solutions architecture, and sales tracks in higher‑paying markets. In some U.S. contexts, compensation is described as fair for the job.
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Leave & Time Off Breadth — PTO is described as generous in the U.S., with separate sick time and paid holidays contributing to a supportive time‑off setup.
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Wellbeing & Lifestyle Benefits — Hybrid/remote work programs, office perks like snacks, and learning‑budget messaging provide lifestyle flexibility and support beyond baseline coverage.
Backbase Insights
What We Do
Backbase is a fast growing fintech software provider that empowers financial institutions to accelerate their digital transformation and effectively compete in a digital-first world. We are the creators of the Backbase Omni-Channel Banking Platform, a state-of-the-art digital banking software solution that unifies data and functionality from traditional core systems and new fintech players into a seamless digital customer experience. We give financials the speed and flexibility to create and manage seamless customer experiences across any device, and deliver measurable business results. We believe that superior digital experiences are essential to stay relevant, and our software enables financials to rapidly grow their digital business. More than 120 financials around the world have standardized on the Backbase omni-channel banking platform to streamline their digital sales and self-service operations across all digital touchpoints. Our customer base includes ABN AMRO, Bank ABC, Barclays, BPI, CheBanca!, Citizens Lightstream, Credit Suisse, Fidelity, HDFC, IDFC, KeyBank, Ila Bank, Me Bank, Navy Federal, PostFinance, RBC, RBS, Standard Bank, Societe Generale, Truist, U Bank and Westpac. Industry analysts Celent, Gartner, Forrester and Ovum recognize Backbase as an industry leader in terms of omni-channel banking platform capabilities, and award the company high marks for its deep focus on customer experience management and unparalleled speed of implementation. Forrester named us a leader in the Forrester Wave for Omni-Channel Banking and Ovum nominates Backbase as the market leading provider of next-generation digital channel banking platforms. Backbase was founded in 2003, is privately funded, with headquarters in Amsterdam (HQ Global) and Atlanta (HQ Americas) and regional operations in Boisse, Cardiff, Dubai, Kraków, Mexico City, New York, Toronto, Singapore, Sydney and Tokyo.
