Quick Overview
Job Description
Senior Software Engineer – Python / Go
Company: TechAGI Solutions
Location: Arlington, VA (Onsite)
Duration: 12 Months
Employment Type: W2 Contract
Rate: $55/hr on W2
Job Description
TechAGI Solutions is seeking an experienced Senior Software Engineer with strong expertise in Python, Go (Golang), backend development, and cloud-native engineering.
The ideal candidate will have hands-on experience developing scalable applications, building internal developer tools, improving CI/CD pipelines, and implementing modern DevOps and platform engineering practices.
Key Responsibilities
Design, develop, and maintain scalable applications, REST APIs, microservices, and distributed systems.
Build reusable frameworks, internal platforms, and developer productivity tools.
Develop and optimize CI/CD pipelines and deployment automation.
Implement cloud-native solutions using AWS/Azure, Docker, and Kubernetes.
Develop automation solutions using Python, Go, and Infrastructure as Code.
Improve application scalability, reliability, security, and performance.
Collaborate with engineering, architecture, and platform teams on technical initiatives.
Support modernization of software development and deployment practices.
Provide technical guidance and contribute to architectural decisions.
Required Skills
Strong hands-on programming experience with Python and/or Go (Golang).
Experience developing backend applications, REST APIs, and microservices.
Strong understanding of distributed systems and software architecture.
Hands-on experience with AWS and/or Azure.
Experience with Docker, Kubernetes, and container orchestration.
Strong knowledge of CI/CD tools such as Jenkins and GitHub Actions.
Experience with Terraform or similar Infrastructure as Code tools.
Experience with DevOps, automation, and platform engineering.
Strong problem-solving and communication skills.
Preferred Skills
Experience developing internal developer platforms, reusable frameworks, and engineering tools.
Familiarity with API gateways, secrets management, and infrastructure tooling.
Exposure to AI-assisted engineering and workflow automation.
Experience with large-scale data processing or ETL pipelines.
Technical leadership experience in enterprise engineering environments.
Work Location: Candidates must be available to work onsite in Arlington, VA.
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