About the role

Associate Software Development Engineer for BeyondTrust, developing backend services and cloud infrastructure to enhance cybersecurity solutions. Collaborates across teams on CI/CD pipelines and internal automation.

Responsibilities

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.

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.