Software Engineer II - Dev Accelerator
New
J
JobgetherSoftware Engineering
Based in the United StatesFull-TimeMiddle
SalaryBase salary range of $149,200–$214,500 USD
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonKubernetesGogRPCCI/CDGitHub ActionsLLM
Requirements
- 3+ years of professional experience as a Software Engineer or in a comparable engineering role.
- Strong ability to use AI-powered development tools to accelerate discovery, design, implementation, testing, and rollout of software systems.
- Demonstrated interest in applying LLMs and AI technologies to improve developer workflows and engineering productivity.
- Experience or strong interest in modern developer platforms, internal tooling, automation, CI/CD, or software infrastructure.
- Ability to work effectively across technical domains and collaborate with multiple engineering teams.
- Strong problem-solving skills, engineering judgment, and an ownership-oriented approach to delivering reliable solutions.
- Familiarity with Python, Go, Bazel, AWS, Kubernetes, and GitHub Actions is a plus.
- Experience building or maintaining CLI tools, scaffolding systems, internal frameworks, or reusable developer tooling is preferred.
- Experience with test data management, integration or end-to-end testing infrastructure, test-quality tooling, or reusable workflows is beneficial.
- Hands-on experience with CLI development, YAML/Jinja2-style templating, modern Python typing, dataclasses or Pydantic-style patterns, pytest/Ginkgo or similar testing frameworks, gRPC/HTTP services, and shared libraries is advantageous.
Responsibilities
- Develop, enhance, and operate internal developer platforms that support software development across the organization.
- Own high-impact projects spanning CLI tooling, CI/CD optimization, shared libraries, test infrastructure, and developer productivity systems.
- Build tools and workflows that make engineering processes faster, more reliable, intuitive, and scalable.
- Work across Python, Go, Bazel, Kubernetes, AWS, and CI systems to strengthen the organization’s developer platform and engineering “Golden Path.”
- Design AI-native abstractions and workflows that can be effectively used by both human engineers and AI agents.
- Explore and implement LLM-powered capabilities such as failure summarization, intelligent code generation, and AI-enabled developer tooling.
- Take ownership of multi-quarter initiatives from discovery and design through implementation, rollout, and continuous improvement.
- Collaborate with Product Engineering, Infrastructure, SRE, Security, and other partner teams to identify opportunities and deliver effective platform solutions.
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