DevOps engineer for data pipelines

Apoddo

United States

Remote

USD 120,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Fully remote setup

Job summary

Apoddo is actively seeking an experienced DevOps Engineer to modernize our cloud infrastructure and own the deployment ecosystem for mission-critical data pipelines used by major banks across the United States. You will drive cloud modernization, migrate from legacy build systems, and establish self-service infrastructure patterns on AWS.

Responsibilities include migrating pipelines to AWS CodePipeline and GitHub Actions, moving workloads from ECS to EKS, building modular Terraform workflows,

Qualifications

  • 5+ years of hands-on AWS infrastructure experience in production.
  • Deep expertise with EKS (Kubernetes) in production environments.
  • Experience migrating workloads from ECS to EKS and building CI/CD with GitHub Actions.

Responsibilities

  • Run architectural overhaul and migration of legacy pipelines to modern workflows (CodePipeline, GitHub Actions).
  • Architect and implement Terraform-based self-service infrastructure patterns.
  • Design deployment strategies (blue/green, canary) for zero-downtime releases.
  • Collaborate with software and data teams to optimize deployment for high-throughput pipelines.

Skills

AWS
EKS
ECS
Kubernetes
Terraform
GitHub Actions
CodePipeline
Python
Go
Bash

Tools

Terraform

Job description

Описание:

We operate a comprehensive, mission-critical data pipeline trusted and utilized by major banks across the United States. We are looking for an experienced DevOps Engineer to modernize our cloud infrastructure, and take full architectural ownership of our deployment ecosystem. As the DevOps Engineer, you will serve as the hands-on technical for our engineering team. You will drive our cloud modernization initiatives: moving away from legacy build systems, migrating container runtimes to Kubernetes, and establishing self-service infrastructure patterns across AWS.

Задачи:

Run the architectural overhaul and hands-on migration of legacy pipelines from TeamCity to modern workflows using AWS CodePipeline and GitHub Actions. Architect and execute migrations from AWS ECS to AWS EKS, optimizing compute performance, scalability, and cost efficiency across our AWS environment. Design, implement, and maintain internal "Terraform as a Service" workflows and reusable modules to provide frictionless self-service infrastructure for development teams. Design, configure, and maintain robust deployment strategies (e.g., blue/green, canary) ensuring zero-downtime releases and high availability for our enterprise banking clients. Work alongside software engineering and data teams to optimize deployment workflows and support high-throughput data processing pipelines.

Требования:

Minimum 5+ years of hands-on, in-depth experience managing and architecting infrastructure within AWS (EKS, ECS, EC2, VPC, IAM, RDS, CloudWatch, etc.). Advanced production experience with Terraform, specifically architecting modular infrastructure and self-service platform capabilities. Deep expertise with AWS EKS (Kubernetes) in production, with demonstrable experience migrating workloads from AWS ECS to EKS. Extensive track record building, maintaining, and migrating pipelines from legacy tools like TeamCity to GitHub Actions and AWS CodePipeline. Daily working overlap between 4PM and 7PM Belgrade Time Будет плюсом: Experience supporting high-volume, enterprise-grade data pipelines or data streaming platforms; Familiarity with financial sector security, governance, and compliance standards; Hands-on experience with GitOps methodologies and tooling (e.g., ArgoCD); Strong scripting and automation capabilities in Python, Go, or Bash

Условия:

The autonomy, authority, and mandate to retire legacy tooling, migrate to the latest cloud-native technologies, and shape our long-term DevOps roadmap. Direct technical influence over a platform powering core operations for top-tier US financial institutions. Fully remote setup with targeted, predictable overlap hours.

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