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Taktile

AI-driven risk workflow platform for finance

Senior Backend Engineer - Developer Experience & Productivity

Platform Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of professional backend engineering experience, with a track record of shipping and operating production systems end-to-end and leading technical projects across teams.
  • Production-grade skills in at least one backend programming language; Python is the main language today, though other languages are acceptable. The work primarily involves writing software, including tools, services, bots, and CI logic.
  • Hands-on experience owning CI/CD at scale, such as GitHub Actions, including build and test performance, caching, parallelization, and debugging flaky tests and pipelines.
  • Solid AWS experience, ideally with serverless services such as Lambda and CloudFormation or SAM, and infrastructure as code such as Terraform.
  • Daily use of current AI coding and agent-orchestration tools, such as Claude Code, OpenCode, subagents, and MCP, and ability to make them reliable across an engineering organization.
  • A product mindset for internal tooling, including engaging users, measuring outcomes, and evaluating success by adoption and time saved.
  • Ability to drive changes across multiple teams without managing them, including writing proposals, planning rollouts, and completing implementation.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Build deployment services that ship Taktile and own systems supporting tens of thousands of stack deployments weekly across development, staging, production, and per-customer AWS accounts, including progressive rollouts through monitoring and canary stages, deployment windows and gates, and fast rollbacks.
  • Maintain and extend Claudius, the in-house AI engineering agent that investigates CI failures, triages issues, and opens pull requests, and metadev, the sandboxed Claude Code and OpenCode setup that packages Taktile engineering knowledge for every engineer.
  • Improve the build, test, and merge loop by reducing CI runtime and flakiness across the main monorepositories, identifying slow and unreliable steps, fixing them, and keeping them fixed.
  • Evolve the CI/CD architecture by building on per-module GitHub Actions workflows and a self-hosted runner fleet, and improving caching, parallelism, and cost per build.
  • Shorten the inner development loop on the AWS Lambda stack, including running services locally against preview environments and enabling faster container-based deployments so engineers do not have to wait on CloudFormation to test changes.
  • Build templates, command-line interfaces, and self-service tooling so teams can take a new module from first commit to a running development workspace in under a day.
  • Make tooling fast, deterministic, and scriptable so engineers and AI coding agents receive quick, trustworthy feedback.
  • Own developer productivity metrics including pull-request lead time, CI runtime, CI flakiness, and pull requests per engineer-day; use them to choose improvements and measure impact.
  • Take ownership of Claudius, the in-house AI engineering agent, and decide its future direction.
  • Engage with engineering teams as users, triage CI incidents, write clear documentation, and drive migrations and deprecations to completion.

Desired Qualifications

  • Prior experience on a developer productivity, developer experience, build or release engineering, or platform team.
  • Experience as a product-facing backend engineer and firsthand knowledge of development-loop pain points.
  • Experience with frontend build and test tooling in the TypeScript and 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 monorepository tooling, build systems, or dependency management at scale.
  • Experience building AI agents or agent infrastructure, such as MCP servers, agent harnesses, or evaluations.

About the Company

Taktile

AI-driven risk workflow platform for finance

Taktile builds an agentic decision platform for banks and insurers to design, monitor, and automate high-stakes risk workflows such as credit underwriting, claims, fraud, KYC/AML, and onboarding. Its platform uses AI agents that operate under business-owner control to carry out risk tasks, enabling automated decision-making while keeping governance and oversight in the hands of financial institutions. The product is geared toward regulated finance and is designed to integrate into existing workflows, providing monitoring, automation, and control over AI-driven decisions. Taktile differentiates itself by focusing on regulated financial use cases and offering agents that are under business-owner control, backed by a track record with notable customers and significant funding to scale in the US, Europe, and LATAM. The company's goal is to deepen AI solutions for regulated finance and expand its footprint across major markets.

Company size
201-500
Company stage
Series C
Total funding
$188.8M
Headquarters
Berlin, Germany
Founded
2020

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