Why this role stands out
This role offers a fantastic opportunity to leverage your Python and full-stack development expertise to build scalable, secure solutions within a Fortune 500 company, contributing significantly across the entire software development lifecycle. You'll thrive here if you enjoy tackling complex challenges in a collaborative engineering environment and are eager to expand your skills in automation and cloud security. Join a reputable organization and make a real impact on critical business problems.
Quick overview
Job description
The Sr. Engineer - Automation will participate in all phases of development, from design and implementation through testing and production support. The role will focus heavily on Python-based application development, RESTful services, automation, cloud security, and secrets management while following engineering best practices for reliability, resiliency, security, performance, and reusability.
Contract Duration: 7 Months
Required Skills & Experience
- 5-7 years of full Software Development Life Cycle (SDLC) experience designing, developing, testing, and implementing large-scale applications.
- 5+ years of Python development experience.
- Strong proficiency with FastAPI.
- 5+ years of experience developing and supporting RESTful web services/APIs.
- Hands-on experience with at least one of the following:
- HashiCorp Vault
- AWS Secrets Management / AWS Secrets Manager
- Azure Key Vault
- Experience with both front-end and back-end development.
- Strong understanding of object-oriented design and software engineering principles.
- Ability to write, test, and document technical solutions according to organizational standards.
- 5+ years of experience with React, TypeScript, and JavaScript.
- 3+ years of experience with Terraform and HashiCorp Vault.
- 3+ years of experience with Git and GitHub.
- Experience working with Windows and Linux operating systems, including shell scripting.
- Experience with PostgreSQL, ORM/persistence frameworks, and query performance tuning.
- Experience with Azure or other cloud platforms.
- Experience with automated testing, observability, instrumentation, and production support.
- Experience identifying and remediating security vulnerabilities and potential attack surfaces.
- Experience designing reusable, scalable, and maintainable systems.
- Experience performing root cause analysis and implementing solutions to improve reliability, resiliency, security, and performance.
- Experience mentoring junior or less-experienced engineers.
- Design, develop, test, document, and maintain scalable software applications and automation solutions.
- Develop and maintain Python-based applications and RESTful APIs using FastAPI.
- Design and implement secure solutions involving secrets management and cloud security.
- Lead implementation of significant capabilities within existing systems.
- Develop automated tests and instrumentation to ensure application reliability, availability, latency, and performance targets.
- Conduct root cause analysis and identify opportunities for system and process improvements.
- Identify security vulnerabilities and potential attack surfaces and help implement appropriate mitigation strategies.
- Promote reusable components, frameworks, and engineering best practices.
- Break down complex technical requirements into maintainable implementations.
- Collaborate closely with engineering and technology teams.
- Mentor team members and help improve engineering practices and technical capabilities.
- 30% Python / FastAPI / RESTful API Development
- 20% Automation & Software Engineering
- 15% Cloud & Secrets Management
- 15% Application Security / Reliability
- 10% Database & Persistence Technologies
- 10% Front-End / Supporting Technologies
- 50% Hands-On Software Development & Automation
- 25% Design, Testing & Troubleshooting
- 15% Team Collaboration & Technical Planning
- 10% Mentoring, Documentation & Engineering Best Practices
- Hybrid - 3 days onsite per week, typically Tuesday, Wednesday, and Thursday.
- Candidates must be able to work onsite on the first day of the assignment.
- Location: Fort Worth, TX
- Interview Process: Virtual and In-Person
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