JOBSEARCHER

DevOps Engineer

OptomiDenver, COL6 LeadOctober 8th, 2026
Senior DevOps Engineer, Python & AWS Cloud (100% Remote) *24-month contract with potential to extend/convert*Optomi, in partnership with a premier client, is seeking a hands-on Senior DevOps Engineer with with deep expertise in cloud-native development, DevOps, and software engineering. In this hands-on technical leadership role, you’ll design and deliver scalable, high-performance systems and infrastructure. You’ll work with engineering, data, and product teams to solve complex challenges in distributed systems, data management, and performance at scale. You’ll write efficient, well-documented, production-quality code; shape robust architectural solutions; participate in code reviews; and mentor peers while staying current with modern cloud and software engineering practices.
Key Qualifications:
  • 10+ years of professional software development experience across multiple technical domains.
  • Advanced, hands-on Python experience building backend services, cloud systems, or infrastructure tooling.
  • Strong coding fundamentals, including choosing appropriate data structures and algorithms, reasoning about time and space complexity, and writing clear, maintainable, tested code.
  • Experience designing, implementing, and operating distributed systems and data management solutions.
  • Solid DevOps experience, including CI/CD, Docker, automated testing, and deployment automation.
  • Hands-on experience designing and implementing solutions with AWS services, particularly networking, IAM, S3, Kinesis, Lambda, and SNS.Familiarity with infrastructure as code using Terraform, Cloud
  • Formation, or AWS CDK.Ability to design and explain scalable, reliable, low-latency architectures.
  • Experience collaborating across engineering, data, and product teams.
  • Experience conducting code reviews and providing technical mentorship.
Preferred Qualifications: Proficiency in a statically typed language such as TypeScript or Java. Knowledge of data architecture trade-offs, including SQL and NoSQL, partitioning strategies, and data warehouses. Experience with low-level software design, including data structures and code organization. Interest in modern cloud engineering and data systems practices. Passion for building reusable components and identifying platform-level improvements.