Data Engineering Infrastructure Specialist

3 weeks ago


Bengaluru, Karnataka, India Groww Full time

About Groww

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We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Every day, we help millions of customers take charge of their financial journey.

Our company is built around customer obsession. Every product, every design, and every algorithm is executed with the customers' needs and convenience in mind.

Our Vision

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Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. We are working towards empowering every Indian with a cutting-edge multi-product platform offering a variety of financial services.

The Job Description

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As a Data Engineering Infrastructure Specialist, you will be responsible for providing 24/7 infrastructure support for our data platform setup, hosting workloads for our data engineering teams, and building processes to document 'tribal' knowledge.

You will manage application deployment and GKE platforms, automate and improve development and release processes. You will also create, manage, and maintain datastores and data platform infrastructure using IaC.

Your responsibilities will include owning the end-to-end availability, performance, and capacity of applications and their infrastructure, creating/maintaining observability with Prometheus/New Relic/ELK/Loki, and owning and onboarding new applications with production readiness review processes.

You will manage SLO/Error Budgets/Alerts, perform root cause analysis for production errors, work with Core Infra, Dev, and Product teams to define SLO/Error Budgets/Alerts, and identify observability gaps in applications and infrastructure.

You will manage outages, perform detailed RCA with developers, and identify ways to avoid similar situations in the future. Automating toil and repetitive work will also be part of your responsibilities.

What We're Looking For

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We are looking for an experienced professional with 6+ years of experience in managing high-traffic, large-scale microservices and infrastructure with excellent troubleshooting skills.

You should have handled distributed processing engines, distributed databases, and messaging queues (Kafka, PubSub, or RabbitMQ) and worked on setting up and working with data platforms, data lakes, and data ingestion systems that operate at scale.

You should be able to write core libraries (in Python and Go) to interact with various internal data stores, define and support internal SLAs for common data infrastructure, and have good familiarity with BigQuery or Trino, Pinot, Airflow, and Superset or similar ones.

Experience in troubleshooting, managing, and deploying containerized environments using Docker/containerd, Kubernetes, DNS, TCP/IP, UDP, GRPC, Routing, and Load Balancing is required. Familiarity with GitOps, Infrastructure as a Code tools like Terraform, and Configuration Management Tools like Chef, Puppet, Saltstack, Ansible is also desired.

Familiarity with Google Cloud (GCP) and/or other relevant Cloud Infrastructure solutions like AWS or Azure is a must. Experience in building CI/CD pipelines with tools like Jenkins, GitLab, Spinnaker, Argo, etc., is also necessary.

Estimated Salary: $120,000 - $180,000 per year


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