Senior Platform Engineer - AWS - Team Platform (d/f/m)

Bettermile

WHAT IS WORKING AT BETTERMILE LIKE? * We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work. * You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions. * We mean diversity, and we put it in numbers: 130+ people, 36 languages, 35% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us. * We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities. * We work in a hybrid mode, with weekly team days for better collaboration and nurturing interpersonal connections. When onsite, we work in a modern, kid- and pet-friendly Better Space in the heart of Berlin-Kreuzberg. * Remote work from anywhere for up to 12 weeks in total per year. * 30 vacation days in a 5-day/week working model. * Kindergarten grant and a Company Pension scheme. * Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them. * Outstanding flexibility we are proud of – and, of course, the best colleagues in the world! About the team: Location services are at the heart of any delivery experience, and the Features team of Better Places tribe is building a world-class solution that integrates multiple providers to get accurate geocoding, enables geocode corrections, and serves relevant information about addresses worldwide. We use open-source and proprietary data and algorithms to build a highly scalable system that serves billions of requests. YOU WILL BE TAKING CARE OF: * Driving the evolution of our geocoding systems from rule-based logic to ML-based matching and normalization. * Building and improving confidence and relevance scoring models, including automated false-positive detection. * Developing and productionizing data-driven solutions to improve geocoding quality. * Automating benchmarking and evaluation pipelines to measure model performance. * Driving cross-team initiatives, contributing to the long-term data strategy, and mentoring more junior data scientists. YOU CHECK THESE BOXES: * 5+ years of experience in Data Science with a proven track record of productionizing complex models and tackling geospatial data challenges. * Strong skills in Python and SQL, combined with hands-on experience in AWS (Athena, Sagemaker), Snowflake, and dbt. * Practical experience with data orchestration tools (e.g. Airflow or Dagster) and data visualization via Metabase or Quicksight. * Ability to autonomously develop new strategies from scratch and identify high-impact opportunities within vast datasets. * Strong ownership mindset and communication skills to drive cross-functional projects and mentor team members. IT IS AWESOME IF YOU ALSO HAVE: * Hands-on experience or a deep interest in applying LLMs and modern AI-driven features in a product environment. TAKE YOUR CHANCE Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward. Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa. ABOUT US At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone. Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints. We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Taxfix makes tax filing simple, fast, and accessible for millions of users across Europe. Behind the product sits a data platform that powers everything from business analytics and regulatory reporting to ML and AI-driven product features. We’re growing and the platform needs to grow with us. We are looking for an experienced Data Platform Engineer to design, build, and operate the infrastructure and pipelines that make data at Taxfix reliable, compliant, and ready for AI. You will own the systems that move data from operational databases, APIs, and SaaS tools into our analytical environment and make sure that data is correct, timely, and safe to use. Your work will directly enable ML and AI-powered product experiences, self-serve analytics, and regulatory reporting. YOUR TEAM: The Data Platform team is part of the Data Organization, which enables everyone at Taxfix to make data-driven decisions, drive business growth, and power ML and automation in our products. Within our group we have product analysts, analytics engineers, machine learning engineers, and data engineers working across the whole company. The platform team serves many consumers analytics, ML, product, and compliance so you can expect to join cross-functional project teams regularly, working alongside backend and frontend engineers, analysts, ML engineers, product and design. Team members are all data engineers but from different backgrounds. We rely on each other to deliver our best, grow together, share knowledge openly, and invest in personal development through mentoring and innovation. YOUR RESPONSIBILITIES AND DECISIONS: * Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable * Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse * Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines * Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills * Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do * Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers * Prepare data for ML and AI use cases - build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference * Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team * Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt YOUR PROFILE: * 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) * Strong Python skills for data pipeline development - you write production code, not just scripts * Strong SQL skills - window functions, CTEs, query optimization are second nature * Experience with event-driven data pipelines - CQRS, event ordering, idempotency, and the difference between initial load and incremental processing * Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring * Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production * Cloud platform experience - you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale * Infrastructure-as-code - experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments * K8S and Docker containerization - you package and deploy your own work * Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” * Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls * Awareness of data privacy requirements - you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers * AI-enabled engineering practices - you actively use AI assistants and code generation tools to accelerate development and deliver, and you share effective practices with the team WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers - virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app - and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.

Awin

About the AI Platform Team The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently. We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence. This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization. About the role We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin. In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process. This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche. What youʼll do * Define and improve practical guardrails and safe defaults for AI-powered systems * Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows * Contribute to approved provider and model guidance, including practical validation and usage expectations * Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls * Help define production-ready expectations for AI systems from a safety, governance, and risk perspective * Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes * Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate * Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate * Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene * Write clear documentation, patterns, and guidance that help teams apply standards consistently * Contribute to strong engineering practices across the team through clean code, testing, and collaboration  * Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering Requirements * Strong software engineering fundamentals and experience working on production systems * Practical experience in security, governance, privacy, compliance, or risk-related engineering work * Clear hands-on experience applying those controls to AI- or LLM-powered systems * Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns * Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults * Good understanding of how to make AI systems observable, auditable, and safer to operate in production * Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal * Good practical experience with Python and/or JavaScript / TypeScript * Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration * Good understanding of information security and how to design solutions with security in mind * Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous * Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving * Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy Nice to have * Experience designing or implementing guardrails for AI or LLM-powered systems * Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns * Familiarity with tracing, auditability, and logging standards for AI systems * Familiarity with evaluation workflows, regression checks, and production readiness practices for AI * Experience assessing third-party AI providers or model usage from a risk or governance perspective *  Experience with privacy-by-design patterns in data-sensitive systems * Experience working in regulated or higher-risk environments * Experience writing clear developer guidance and turning repeated risk questions into reusable standards Tools and technologies you may work with: * Python * JavaScript / TypeScript * Azure / AWS * LLM APIs * CI/CD tooling * Observability and tracing tools * Policy and validation patterns * Internal platform services, standards, and governance tooling Working style We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value. A strong fit for this role is someone who: * Thinks clearly about real-world AI risk, not just theoretical concerns * Can balance safety, speed, and developer experience * Communicates clearly and helps others understand trade-offs * Prefers reusable controls and automation over manual gatekeeping * Is comfortable collaborating across engineering, security, architecture, and legal boundaries * Writes clear, actionable guidance rather than vague policy language * Is proactive about identifying risk patterns early and turning them into scalable solutions * Enjoys helping other engineers build safer systems without slowing them down unnecessarily Our Offer * Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance. * Flexi-office: We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility. * Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace when working from home. * Health and Wellbeing: With our support and access to various initiatives and sports offers, you can focus on your mental and physical wellbeing. * Development: We’ve built our extensive training suite, Awin Academy, to cover a wide range of skills that support your professional and personal growth, with trainings conveniently packaged to help your overall development. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer recognition programme. We are hiring in multiple countries for this role. Additional benefits, including health and wellbeing offerings, will be discussed during the initial interview. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development. #LI-RS1