Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI, Developer Platform): Designing and evolving an internal developer platform that underpins backend development with an accent on CLI tooling, CI/CD, shared libraries, and test infrastructure. Focus on shaping AI-native abstractions and workflows consumable by both humans and AI agents, working across Python, Go, Bazel, Kubernetes, AWS.

Location: Remote (USA)

Salary: $176,000–$207,000 USD

Company

hirify.global builds and operates an internal developer platform to enable engineers to design, build, test, and ship products quickly and safely.

What you will do

• Build and evolve developer CLI tooling (scaffolding, environment/credentials).
• Own core CI/CD and linting infrastructure (backend CI workflow, code quality guardrails).
• Steward shared Go and Python ecosystems (key shared libraries, gRPC helpers, utilities).
• Strengthen test and release safety (automated canary analysis, test automation, dependency-analysis).
• Drive platform-level design and abstractions (simplicity, power, collaboration).

Requirements

• Strong experience with Python 3.x (CLI development, templating, type hints, pytest).
• Solid experience with Go (shared library/service development, CLI patterns, testing).
• Protobuf/gRPC (schema design, cross-language integration).
• Bazel in a large monorepo (BUILD rules, dependency management, code generation).
• Containers & orchestration (Docker, Kubernetes concepts).
• Cloud infrastructure (AWS preferred: object storage, relational databases, key–value/document stores, search, streaming/ingest services, Kafka, Redis, IAM).
• Modern CI systems (authoring non-trivial pipelines, secrets/permissions).
• Infrastructure-as-Code mindset (YAML, Terraform-like patterns).
• Linting & static analysis (configuring and tuning tools).
• Must be eligible to access controlled technology under U.S. export control laws.

Nice to have

• Monorepo experience (large shared codebase, complex dependency graphs).
• Developer experience (DX) tooling (CLIs, scaffolding systems, internal frameworks).
• Testing & progressive delivery (canary analysis, test data management, E2E test infrastructure).
• Messaging & streaming (Kafka experience).
• LLM/AI integration (improving developer workflows).

Culture & Benefits

• Roles eligible for bonus, restricted stock units (RSUs), and benefits.
• Individual compensation based on skills, experience, qualifications.
• Equal opportunity employer with a commitment to diversity.
• Company conducts pre-employment checks in line with security and privacy standards.