Software Gigs

Design and own cloud infrastructure foundations, core platform services, and observability systems that enable reliable deployment across customer environments (on-premise, cloud, or hybrid). Build production-grade Kubernetes infrastructure, internal APIs, deployment pipelines, and monitoring/alerting layers using infrastructure-as-code. Instrument service-level objectives and health signals to ensure measurable reliability and reproducible, secure deployments across all environments.

Staff Software Engineer responsible for adapting mobile control station software applications to a cloud environment, with focus on Infrastructure-as-Code, containerization, and deployment to Il-5 cloud infrastructure. Will collaborate across Software Engineering, Systems Engineering, Cloud & Application, and DevOps teams in an Agile environment, working on containerization, instrumentation, integration, security, and system testing. Requires 8-12 years of software engineering experience (depending on degree level) and hands-on expertise with cloud platforms, infrastructure components, IaC tooling, Docker/Kubernetes, software-defined networking, and scripting/coding languages.

This Staff Platform Engineer role owns operational strategy and technical direction for enterprise GitLab (3,000+ users) and JFrog Artifactory platforms, leading cloud-native transformation and Kubernetes migrations. The position requires 7+ years of enterprise-scale platform operations, 5+ years each with self-managed GitLab and Artifactory in high-availability deployments, and 3+ years of deep Kubernetes expertise. Responsibilities include designing multi-region active-active systems, establishing cloud-native best practices, mentoring team members, and influencing organizational standards for platform engineering and developer experience. Required expertise spans Linux kernel/networking, PostgreSQL high availability, AWS/Azure/GCP, Kubernetes operators, service mesh (Istio), infrastructure-as-code (Terraform), observability (Prometheus), and production automation in Python, Go, and Bash.