Senior Site Reliability Engineer - Randstad Digital

job summary: Story Behind the Need We are seeking a highly skilled and experienced Senior Python & Site Reliability Engineer to lead the development of scalable backend systems while ensuring the reliability, performance, and security of our platform infrastructure. This hybrid role blends deep backend engineering expertise with modern SRE practices, making it ideal for someone who thrives in both application development and infrastructure reliability. location: Saint Louis, Missouri job type: Contract salary: $54 - 64 per hour work hours: 8am to 5pm education: Bachelors responsibilities: Key Responsibilities: Backend Engineering: Lead the design and development of robust APIs and backend services using Python and Django. Architect scalable, secure, and maintainable solutions aligned with business needs. Drive CI/CD pipeline development and automation using GitLab. Manage containerized deployments with Docker, Kubernetes, and Helm. Mentor developers and contribute to code reviews and technical guidance. Site Reliability Engineering: Lead initiatives to improve platform reliability, observability, and performance. Build and maintain monitoring and alerting systems for key performance indicators. Troubleshoot complex system issues and lead root cause analysis and resolution. Develop automated tools and services to support incident response and system health. Maintain and evolve documentation, runbooks, and post-incident reviews. Collaborate with development teams to optimize the SDLC for reliability and scalability. qualifications: Typical Day in the Role This engineer will work on the Member Premium Finance (MPF) team to work on payment related APIs. This candidate does not need to have experience with finance or business as we have that expertise on the team, this is a technical engineer role. Candidate Requirements Required: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 4 - 6 years of related experience. Preferred: Expert-level proficiency in Python, Django, and API development. Strong experience with GitHub or GitLab CI/CD, including pipeline configuration and automation. Hands-on experience with Docker, Kubernetes, and Helm. Deep understanding of Django ORM, middleware, signals, class-based views, and DRF. Proven ability to lead technical projects and mentor engineering teams. Experience with observability tools (e.g. Datadog, Dynatrace, etc.). Strong troubleshooting skills and experience with incident management and postmortems. Familiarity with performance and stress testing practices & tooling (e.g. Grafana K6, Locust, etc.). Ability to communicate complex technical topics clearly across teams. skills: Top 3 must-have hard skills stack-ranked by importance Python/Django API development CI/CD, Docker, Kubernetes, Helm, Performance/stress testing & optimization Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.