Senior Backend Engineer, Architecture Engineering
New
J
JobgetherSoftware Engineering
Based in the United StatesFull-TimeSenior
SalaryCompetitive compensation package.
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonArtificial IntelligenceGoRustDistributed Systems
Requirements
- 5+ years of professional software engineering experience with strong backend development expertise.
- Proven experience designing and deploying production-grade AI, agentic, or large language model-based systems.
- Strong knowledge of distributed systems concepts including consistency, concurrency, fault tolerance, rate limiting, and scalability.
- Advanced programming skills in Go (preferred), Rust, or Python, with the ability to work across multiple languages.
- Experience working within complex codebases and independently delivering end-to-end technical solutions.
- Solid understanding of software development lifecycle automation, build systems, release pipelines, or developer productivity tooling.
- Familiarity with production AI evaluation methodologies, operational constraints, and large-scale system optimization.
- Excellent problem-solving, communication, collaboration, and technical leadership skills.
- Experience working effectively within remote, cross-functional, and globally distributed engineering teams.
- Passion for leveraging AI to improve engineering efficiency and software quality.
Responsibilities
- Design, architect, and implement AI-powered backend systems that automate and optimize software development workflows.
- Identify friction points across the engineering lifecycle and transform them into scalable, reliable automation solutions.
- Develop intelligent workflows using agent-based architectures, orchestration frameworks, safety mechanisms, and automated recovery strategies.
- Build evaluation frameworks to measure AI system performance, reliability, compliance, and operational efficiency.
- Apply distributed systems expertise to ensure scalability, resilience, concurrency handling, and production readiness across multiple deployment environments.
- Contribute across multiple areas of the codebase, adapting quickly to different technical domains and solving problems wherever they arise.
- Collaborate with globally distributed engineering teams to share tooling, best practices, technical roadmaps, and reusable solutions.
- Drive technical innovation by helping transform internal engineering capabilities into scalable customer-facing products.
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