5+ years of experience in backend development using Java/Spring and Python
Proficient in API design and development
Experience with observability tools like AppDynamics and Dynatrace
Familiar with CI/CD practices and containerization (Docker, Kubernetes)
Understanding of automated testing and security practices
Responsibilities
Design and maintain scalable backend services and APIs
Build full software lifecycle engineering solutions
Develop observability and monitoring integrations
Support infrastructure integration capabilities and custom health checks
Ensure software quality through automated testing and peer reviews
Create and manage containerized deployment pipelines
Utilize AI-assisted tools to enhance development efficiency
Benefits
Flexible work arrangements
Access to modern engineering tools and platforms
Support for professional development and training
Collaborative work environment with cross-functional teams
Focus on innovation and emerging technology
Full Job Description
Job Description
To be successful in this role, we're seeking the following:
Design, develop, and maintain scalable backend services and APIs using Java/Spring and Python, with strong focus on reliability, performance, and seamless integration across distributed application components and enterprise platforms.
Build modern engineering solutions across the full software lifecycle, including frontend development where needed, automated testing, code reviews, troubleshooting, and translating business and technical requirements into high-quality, maintainable code.
Design, build, and maintain observability integrations and custom monitoring solutions across enterprise platforms such as AppDynamics, Dynatrace, ThousandEyes, SolarWinds, Prometheus/Grafana, Moogsoft, and Splunk, including instrumentation with Open Telemetry and development of telemetry pipelines, health checks, synthetic monitoring, and self-healing automation to strengthen operational visibility and service resilience.
Develop and support observability and infrastructure integration capabilities, including integrations with enterprise monitoring, telemetry, and ITSM platforms, as well as custom health checks, automation, and telemetry solutions to improve operational insight and resilience.
Drive strong software quality, security, and engineering standards through test-driven approaches, comprehensive automated test coverage, secure software development practices, peer review, vulnerability scanning, and adherence to coding and architectural standards.
Build and maintain containerized delivery and deployment pipelines using tools such as Docker, Kubernetes, Git, and CI/CD platforms, enabling automated, secure, and efficient promotion of code through development and production environments.
Leverage modern AI-assisted engineering tools and emerging AI capabilities to accelerate development, improve productivity, and enhance solutions, while collaborating effectively with product owners, architects, DevOps, QA, and cross-functional teams to deliver business value.
