Design, build, test, operate, and continuously improve platform engineering solutions.
Own technical problems end-to-end, collaborating with stakeholders and engineering teams to deliver scalable, reliable solutions.
Contribute to product and platform roadmaps with consideration for performance, reliability, observability, operability, and testability.
Support and enhance CI/CD pipelines, development workflows, build systems, and release automation processes.
Participate in root cause analysis, incident investigation, troubleshooting, and continuous improvement efforts.
Diagnose and resolve issues across internal systems and downstream dependencies, partnering with other teams when necessary.
Follow established engineering standards, contribute to technical discussions, and provide constructive feedback to improve processes and tooling.
Demonstrate strong teamwork, accountability, and a growth mindset through continuous learning and collaboration.
Basic Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
3+ years of professional software engineering experience.
Experience developing software in Linux or macOS environments.
Experience with developing software using Go.
Proficiency in at least one modern programming language, preferably Go.
Strong understanding of software engineering fundamentals, including data structures, algorithms, and system design.
Familiarity with distributed systems concepts and modern software architectures.
Experience using Git-based source control workflows (GitHub, GitLab, or similar).
Exposure to containerized application development using Docker and Kubernetes.
Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
Strong desire to learn and contribute across a broad technical landscape.
Preferred Qualifications
Professional experience developing applications or tooling in Go.
Experience designing, operating, or supporting distributed systems with consideration for scalability, performance, availability, and observability.
Experience with platform engineering practices and tools, including GitOps, CI/CD, OCI artifacts, test infrastructure, or build systems.
Experience working with Kubernetes clusters and associated ecosystem components.
Familiarity with infrastructure automation and developer productivity tooling.
Experience contributing to open-source projects.
Stand-out Qualifications
Professional experience administering or developing with Bazel or other large-scale build systems.
Experience with AI application development using modern LLM platforms, including agentic workflows, skills/tool definitions, prompt engineering, model evaluation, or integration with commercial and open-source AI models.
Experience developing CLI tools and developer workflows.
Experience creating or maintaining Kubernetes Custom Resource Definitions (CRDs) and custom controllers/operators.
Experience troubleshooting complex build, deployment, or infrastructure-related issues across large distributed systems.
Experience with developer platforms or internal engineering productivity initiatives.