About the role
Taktile is a high-growth, post product-market-fit company building the leading platform for automated decisioning in financial services. As customers run an increasing share of critical decisions on Taktile, improving those decisions using production data becomes core to the product.
Team Optimize builds the systems that allow customers to evaluate and improve decision flows using historical data — across fraud, AML, onboarding, KYC/KYB, underwriting, and credit use cases.
As a Senior Full-Stack Engineer, you will own backend systems and APIs operating on large volumes of decision data and expose them through customer-facing product surfaces. Your work directly impacts false positive rates, approval rates, and confidence in shipping production changes.
At scale, the systems you build will:
Process millions of decisions per day
Persist and query terabytes of data per day
Execute large-scale experiments over billions of historical decisions
Serve low-latency APIs on top of append-heavy datasets
What You'll Do
Build and own backend services in Python / FastAPI on AWS serverless infrastructure.
Design and evolve high-scale subsystems operating on historical decision data
Maintain a high bar for code quality, system reliability, and delivery velocity
Collaborate cross-functionally to translate business problems into scalable technical systems
Operate in a high-leverage environment where AI-assisted and agentic coding are embedded into daily workflows, with access to state-of-the-art coding models and the autonomy to use them deeply while maintaining strong engineering standards.
Requirements
7+ years building and owning production backend systems.
Comfort working with large datasets.
Prior industry experience with Python. Java is a plus.
Experience with AWS services and serverless architectures.
Fluency in English, both written and spoken.
Location: Berlin (hybrid setup). Taktile will not cover relocation services for this role.
Ideal, But Not Required
Experience with large-scale data technologies such as Apache Iceberg, Athena, Spark, or similar.
Experience with React and TypeScript.
Experience building experimentation or evaluation systems.
Exposure to fraud, AML, risk, or financial decisioning domains.
What we offer
Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
Make an impact and meaningfully shape an early-stage company.
Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
Receive a top-of-market equity and cash compensation package.
Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
Receive a new Apple MacBook Pro, as well as meaningful home office set-up.
Our Stance
We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply
We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
About us
Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.
Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.
Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.
