Backend Engineer - Team Atlas

## What you'll bring a Senior Backend Engineer to join Team Atlas : a small, high-ownership team focused on the data infrastructure powering our feature computation platform. You'll own critical systems end-to-end, and your decisions will shape the product. ## How to apply . We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request ( ### Gdpr/Uk Gdpr Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact [email removed]. ## About the Role Banks and fintechs use Taktile to automate critical decisions, like credit and risk, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and the backend is where the hard problems live. We're growing rapidly with enterprise customers across banking and insurance, and ## What You'll Do - Build and operate backend services in Python on AWS — Lambda functions, DynamoDB, Aurora, and event-driven pipelines that handle real production traffic. You'll leverage agentic AI tools as part of your daily workflow. - Tackle hard backend problems — latency, reliability, and scale are everyday concerns. - Own your systems end-to-end: from architecture and implementation to deployment, monitoring, and incident response. - Make key architectural decisions — you'll have real authority over how things are built, not just what gets built. - Raise the bar for the team through code reviews, mentoring, and improving our development tooling and processes. - Work directly with Product and Design to shape what we build next. ## Requirements - At least 5 years of professional software engineering experience, with a proven track record of leading complex projects in a senior capacity (2+ years). - Deep expertise in Python and building backend systems on cloud platforms (we use AWS). - Strong system design skills — you're comfortable making architectural trade-offs and defending them. - Depth in at least one of these areas: data pipelines and storage, event-driven architectures, caching and performance, or serverless systems. You don't need all of them. - Strong communication and collaboration skills, with the ability to align technical and non-technical stakeholders on a shared vision. - The ability to work in a hybrid model from our Berlin HQ, the London office, or the Iasi hub. Please note that relocation assistance is not provided for this role. ## Ideal, But Not Required - Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark - Streaming / real-time data pipelines (Kinesis) - Multi-level caching strategies (Redis, DynamoDB, in-memory) - Serverless at scale (Lambda, SAM, CloudFormation) …

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