Live opening · Posted 5 days ago

Sr. Platform Engineer (AWS, Pulumi, Python)

Optomi · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyOptomi
LocationUnited States (Remote)
Salary$80/hr - $87/hr · 3 benefits
Work modeYes
SkillsPython, AWS, TypeScript, Java, Docker, Terraform
SourceLinkedin
ListedPosted 5 days ago

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About the role

Description supplied by the original job listing.

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

Work arrangement
Yes

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