Senior System Engineer

Reposted 10 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Fintech
The Role
Build, operate and optimize an enterprise Data-as-a-Service platform on Azure Databricks. Responsibilities include cluster installation, scaling, performance tuning, cost optimization, infrastructure-as-code, monitoring, automation, on-call support, and collaborating with cross-functional data, security, and software teams.
Summary Generated by Built In
The job in short

Backbase just launched its new AI-powered Banking Platform globally. We are helping banks go from just experimenting with AI to actually using it to get things done. This platform automates key tasks and boosts productivity for both customer-facing and back-office teams, turning the potential of AI into real business results
We operate with a bold startup mindset prioritizing speed, autonomy, and breakthrough innovation.

As a System Engineer(DevOps) you’ll work in a team responsible for design, development and maintenance of the platform.
At each level of the architecture we apply industry standards ensuring stability, security and scalability while remaining cost efficient.

You should have experience in building and running platforms or infrastructures in production.

Considering the area of AI surrounding tools and frameworks are rapidly evolving, we are looking for engineers with a curious mindset and “doer” mentality.

If you have  passion in technology, eager to learn, adopt, deliver and work in short fast phased iterations - please go ahead and apply. 

How about you?

The ideal candidate will have a strong background in building and maintaining infrastructure using public cloud ( Azure, AWS, GCP), automation (python/golang), observability (prometheus/grafana),  infrastructure as code (IaC), identity and access management (IAM), security and DevOps practices.

This role requires familiarity with concepts of AI infrastructure and solutions offered by major players, emerging patterns of building GenAI products.


Preferred Qualifications:

Experience working with AI infrastructure is a big plus.
It’s not mandatory but let's have a chat  if you already have experience in of the following areas: 

  • Experience with cloud based AI solutions: Azure Cloud Foundry/Amazon Bedrock 
  • Observability and Security in AI  ( Langfuse)
  • LLM Gateways ( LiteLLM) 
  • Vector Databases
  • Big bonus is experience with designing, deploying, maintaining MCP,  RAG, Agents

Required Qualifications:

Besides new and shiny AI/ LLM we believe that a strong proven background in engineering is essential. So if you yet don’t have experience with AI but have a good background in areas highlighted below. Please, do not hesitate and apply: 

  • At least 5 years in a similar role running production  workloads on public cloud  ( Azure - preferred, AWS, GCP)
  • Linux based OS, containerisation ( Docker, Containerd)  - configuration, optimisation,  monitoring, troubleshooting
  • Kubernetes  ( Azure Kubernetes Service, Google Kubernetes Engine) - expert level 
  • Observability - Prometheus, Grafana, Opentelemtry, concept of metrics
  • Infrastructure as a Code, config management, GitOps - Terraform, Helm, ArgoCD
  • Strong troubleshooting skills, experience with on-call 
  • Automation and programming/scripting - python, golang
  • Deep understanding of  infrastructure security 
  • You have strong communication skills

Skills Required

  • Proven expertise installing, maintaining and scaling Databricks clusters (performance tuning, cost optimisation)
  • At least 4 years experience with Databricks infrastructure
  • Experience with multi-tenant Databricks installations
  • At least 5 years in a similar role running workloads on public cloud
  • Experience building, scaling and maintaining data platforms on public cloud
  • Experience with Azure (preferred)
  • Experience with monitoring and metrics tooling: Prometheus, Grafana, Azure Monitor
  • Experience in programming and automation
  • Experience using desired-state infrastructure tooling (Terraform/OpenTofu preferred)
  • Knowledge of GitOps / ArgoCD
  • Experience maintaining and troubleshooting Linux-based operating systems and CLI tooling
  • Strong communication skills
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The Company
951 Employees
Year Founded: 2003

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.

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