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Sr. Platform Engineer (AWS, Pulumi, Python)

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Remote

Sr. Platform Engineer (AWS, Pulumi, Python)

Optomi

Sr. Platform Engineer (AWS, Pulumi, Python)

Skills

SQL QueriesDockerTypescriptPythonJavaAWS LambdaAWSAWS KinesisTerraform

13 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

7 October 2026

What they need


Sr. Platform Engineer

*24-month contract with potential to extend/convert*

Fully Remote

Optomi, in partnership with our premier client in the media industry, is seeking a seasoned engineer with deep expertise in cloud-native development, DevOps, and software engineering. In this role, you’ll drive the design and delivery of scalable, high-performance systems and infrastructure. You’ll work closely with cross-functional teams to address complex challenges in distributed systems, data management, and large-scale performance.

As a technical leader, you’ll write efficient, well-documented code, define robust architectural solutions, and mentor peers while staying on top of modern practices in cloud and software engineering.

Must Haves

  • 5+ years of software development experience across multiple domains
  • Strong background in distributed systems and data management
  • Expert-level coding skills with attention to performance and efficiency
  • Advanced proficiency in Python for backend and infrastructure development
  • Solid DevOps experience: CI/CD, containerization (Docker), testing, and automation
  • Hands-on experience with AWS services (Networking, IAM, S3, Kinesis, Lambda, SNS)
  • Familiarity with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation, or AWS CDK)
  • Experience collaborating with engineering, data, and product teams
  • Ability to design scalable, reliable, and low-latency architectures
  • Experience in code reviews and providing technical mentorship

Nice to Haves

  • Proficiency in a statically typed language (TypeScript, Java, etc.)
  • Knowledge of data architecture trade-offs (SQL vs NoSQL, partitioning, warehouses)
  • Experience with low-level design (data structures, code organization)
  • Awareness of modern trends in cloud engineering and data systems
  • Passion for reusable components and platform-level improvements

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