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Здесь можно напрямую влиять на ключевые инструменты разработки, а фокус на AI и облачной инфраструктуре сочетается с заметным ростом компании; главный нюанс - широкий охват команд и систем.
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Широкая зона ответственностиСовременный стекAI в финтехеСильные сигналы роста
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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