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1 день назад

Senior Backend Engineer (Developer Productivity)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Ireland/Romania +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Senior Backend Engineer (Developer Productivity): Building deployment services, CI/CD systems, AI developer tooling, and self-service platforms for Taktile's engineering organization with an accent on AWS serverless infrastructure, build performance, and reliable progressive delivery. Focus on reducing CI runtime and flakiness, operating large-scale deployments, and designing deterministic tools for both engineers and AI coding agents.

Location: Hybrid, based at the Berlin, Dublin, Iași, or London office.

Company

hirify.global provides an AI-native Agentic Decision Platform that helps financial institutions automate and optimize decisions with AI agents, rules, context, and human oversight.

What you will do

  • Build and operate deployment services supporting tens of thousands of weekly stack deployments across development, staging, production, and per-customer AWS accounts.
  • Improve progressive rollouts, monitoring and canary stages, deployment gates, deployment windows, and rollback speed.
  • Own Claudius and metadev, hirify.global's AI developer tooling, and extend their capabilities for CI investigation, issue triage, pull requests, and engineering knowledge access.
  • Improve the build, test, and merge loop across monorepos by reducing CI runtime and flakiness, and evolve GitHub Actions workflows, caching, parallelism, self-hosted runners, and build costs.
  • Shorten the development loop for the AWS Lambda stack through local development against preview environments and faster container-based deployments.
  • Build templates, CLIs, self-service tooling, documentation, migrations, and DevProd metrics while partnering with engineering teams as internal customers.

Requirements

  • 5+ years of professional backend engineering experience, including shipping and operating production systems end-to-end and leading technical projects across teams.
  • Production-grade skills in at least one backend language; Python is the main language, and the role primarily involves writing software, tools, services, bots, and CI logic.
  • Hands-on experience owning CI/CD at scale, including build and test performance, caching, parallelization, and debugging flaky tests and pipelines.
  • Solid AWS experience, ideally including Lambda, CloudFormation or SAM, and infrastructure as code with Terraform.
  • Daily familiarity with AI coding and agent-orchestration tools such as Claude Code, OpenCode, subagents, and MCP, including making them reliable for an engineering organization.
  • Product mindset for internal tooling, with user engagement, outcome measurement, and focus on adoption and time saved.
  • Strong communication and stakeholder management skills, including proposing changes, planning rollouts, and driving cross-team completion.

Nice to have

  • Experience on a developer productivity, developer experience, build/release engineering, or platform team.
  • Experience as a product-facing backend engineer.
  • Experience with frontend build and test tooling in the TypeScript/React ecosystem.
  • Experience running self-hosted CI runners or build infrastructure at scale.
  • Experience with progressive delivery, including canary deployments, automated rollbacks, and deployment gates.
  • Experience with monorepo tooling, build systems, or dependency management at scale.
  • Experience building AI agents or agent infrastructure, including MCP servers, agent harnesses, or evaluations.

Culture & Benefits

  • Work in a hybrid setup through regional entities in the location applicable to the role.
  • Join an engineering culture focused on inclusion and actively combating racism, sexism, ableism, and ageism.
  • Applications are encouraged from talented candidates who do not meet every listed criterion, including people from traditionally underestimated and underrepresented groups in tech.
  • Applicant data is processed for recruitment, legal compliance, and future-opportunity consideration; unsuccessful applications are retained for 12 months unless longer retention is consented to.
  • Automated tools may assist screening, but hiring decisions are not made solely by automated means without human review.

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