Associate Software Development Engineer, BeyondTrust

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience; 2+ years of professional software engineering experience spanning application development and delivery infrastructure
• Proficiency in at least one backend language (Python, Java, Go, C#, or similar) with experience writing production-quality services or APIs
• Hands-on experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure-as-code tools such as Terraform or Pulumi
• Experience building or contributing to CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or equivalent
• Working knowledge of containerization and orchestration, including Docker and Kubernetes
• Scripting and automation proficiency in Python, Bash, or similar, applied to both operational tasks and developer tooling
• Familiarity with monitoring and observability tooling such as Datadog, Prometheus, Grafana, or equivalent
• Hands-on use of AI tools (such as GitHub Copilot, Claude, or similar) across development and infrastructure work — not as a novelty but as a routine productivity practice
• Clear written communication skills and a collaborative working style across Engineering, Product, and Security

Desirable

• The Associate Software Development Engineer is a broad engineering role that spans the full spectrum from application development to delivery infrastructure
• This role contributes to the EPM product itself — writing backend services, APIs, and tooling — while also building and maintaining the CI/CD pipelines, cloud infrastructure, and automation that keep the platform running reliably
• Rather than specializing narrowly in infrastructure or application code, this role is expected to move fluidly across both, using AI tooling to operate effectively across that wider surface area
• Contribute to EPM product development, including backend services, APIs, and data-layer work, writing code that is clean, tested, and maintainable
• Build and maintain CI/CD pipelines that enable fast, reliable delivery of product changes across EPM components
• Provision and manage cloud infrastructure using infrastructure-as-code, following team standards for security, reliability, and cost
• Develop internal tooling and automation that reduces toil and improves the productivity of the broader engineering team
• Support monitoring, alerting, and observability tooling so engineering teams have clear, actionable signal on system and application health
• Participate in incident response, contributing to root cause analysis and follow-up improvements across both platform and application layers
• Use AI tooling as a standard part of the development workflow — for code generation, infrastructure configuration, troubleshooting, test coverage, and documentation
• Collaborate across Engineering, Product, and Security to understand delivery needs and surface gaps early
• Maintain clear documentation for platform components, APIs, and operational procedures
• What Success Looks Like:
• Product code contributions are clean, tested, and ship with confidence through the delivery pipeline
• CI/CD pipelines are reliable and changes move through the delivery process without unnecessary friction
• Infrastructure is provisioned through code, consistently and repeatably, without manual intervention
• Internal tooling and automation reduce toil measurably over time rather than accumulating as permanent overhead
• Platform and application issues are detected through monitoring before they become customer-facing incidents
• AI tools are used routinely and effectively across both development and platform work, improving output speed and quality