Senior Software Engineer (Backend) (m/w/d)

Doctolib

What we do Join a team of passionate and hardworking entrepreneurs to transform healthcare! Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.   What you'll do We are looking for a Senior Software Engineer FullStack to join the FIRE (FHIR & Interoperability Requirements EHR) team in the Clinical domain. As a Senior Software Engineer, your mission will be to ensure that Doctolib DE is well connected to the German digital health ecosystem and compliant with FHIR standards. You will be responsible for the interoperability of the German EHR (Electronic Health Record): connection to the Telematik-Infrastruktur (TI), electronic prescriptions (eRezept), qualified electronic signature (QES), connected medical devices (GDT), and integration of laboratory results.   Your responsibilities include but are not limited to: * Build and maintain the integration with German governmental health services, ensuring other Doctolib teams can seamlessly interact with the German health system through your platform * Drive the integration of the national EHR (Electronic Health Record) into Doctolib, with a multi-country rollout approach, navigating each country's standards and technical constraints * Design, ship, and operate production-grade fullstack solutions that connect the Doctolib platform to complex healthcare infrastructure * Partner with other engineering teams to shape the architecture of Doctolib's interoperability platform * Ensure privacy, security, and compliance by design in one of healthcare's most regulated technical environments * Own performance, observability, and reliability: monitoring dashboards, SLO/SLI, and system health * Contribute to cross-functional initiatives that shape Doctolib's future interoperability strategy across Europe   About our tech environment * Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements. * The FIRE team works on a FullStack scope: React / TypeScript on the frontend and Kotlin on the backend. * Our broader stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. * We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here!   Who you are Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions! Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. * You have 6+ years of experience as a software engineer, with strong fullstack expertise, particularly in Kotlin and React/TypeScript * You have a track record of building robust, end-to-end solutions that balance technical excellence with intuitive user experiences * You are able to design systems (system design) and make sound architectural decisions in complex environments * You understand and promote best practices related to the software development life cycle: automated testing, CI/CD, and DevOps practices (you build it, you run it) * You are curious, autonomous, and have a taste for exploring new systems : you are comfortable solving problems without complete documentation * You are at ease in complex technical environments with many external dependencies and evolving standards * You are eager to share your knowledge and help the team grow through pair programming and mentoring * You are comfortable speaking and writing in English in your day-to-day with the team, German is a plus Now, it would be fantastic if you: * Have experience with healthcare interoperability standards, particularly FHIR, HL7, or similar * Have experience integrating with governmental or regulated health systems (e.g. Telematik-Infrastruktur, eRezept, GDT) * Are familiar with the German digital health ecosystem   What we offer * A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib * 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days) * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Company health insurance with great supplementary benefits through our partner Allianz * Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period) * Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth * The Doctolib Parent Care program, which includes one month additional parental leave and much more * Free mental health and coaching services through our partner Moka.care * Subsidized sports membership through our partner Urban Sports Club * A flexible workplace policy offering both hybrid and office-based mode * Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support   The interview process * Recruiter Interview * Feature Building Interview * System Design Interview * Behavioral Interview * Reference check * Offer! Job details * Full-time * Location: Berlin * Working mode: Hybrid * Start date: as soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.  Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

ICE

ABOUT ICE SERVICES ICE Services is a music technology company built by rightsholders, for rightsholders. We simplify the complexities of the music royalty chain through an innovative suite of licensing, processing, and copyright services, enabling our customers to accurately and efficiently compensate songwriters and composers for the use of their works.  A joint venture between PRS, STIM, and GEMA, ICE Services is the result of a big vision for the industry that harnesses years of combined experience in the multi-territory music market. Serving over 330,000 rightsholders and leveraging a copyright database comprising 55 million musical works, ICE Services’ operations touch 250+ territories to distribute more than €1bn in royalties per year, with a total of over €5bn distributed to date.   We’re based in the UK, Germany, and Sweden.     ABOUT THE ROLE As a Senior Backend Engineer, you will play a pivotal role in the development and enhancement of our new copyright product. Your responsibilities will include hands-on product engineering, working with a team of talented product engineers, designing and implementing complex systems, and collaborating with cross-functional teams to deliver exceptional products to our customers. If you thrive in a collaborative environment and possess a keen eye for detail, this is an excellent opportunity to contribute to groundbreaking projects and shape the future of the ICE Services' product portfolio. We’re building a strong foundation for our company on these products. Bringing the technical expertise in-house and being part of a modern, product-centric technology organisation that works based on agile methodologies and principles are key pillars of our technology strategy. We’re creating the kind of teams talked about in Inspired by Marty Cagan, and following principles in Accelerate by Nicole Forsgren. TECHNOLOGY STACK Our copyright product is primarily running in AWS with the following technologies: • Java SpringBoot Microservices • DynamoDB • OpenSearch • Postgres • S3 • Kinesis • SNS • SQS • Docker / ECS / EKS • Serverless frameworks   KEY RESPONSIBILITIES: * Architect and Implement: Work as part of a product engineering team to design and implement complex software systems, ensuring scalability, reliability, and performance. * Collaboration: Collaborate with product managers and cross-functional teams to define product requirements and create comprehensive technical specifications. * Code Reviews: Conduct thorough code reviews, providing constructive feedback to maintain code quality and adherence to best practices. * Technical Ownership: Take ownership of critical technical decisions and provide expert guidance in selecting appropriate technologies and tools. * Development Practices: Champion best development practices, includ- ing code documentation, unit testing, and version control. * Risk Mitigation: Identify and mitigate technical risks, proactively ad- dressing potential challenges throughout the product development lifecycle. * Industry Trends: Stay up-to-date with the latest industry trends and advancements, integrating new technologies to enhance product offerings and maintain a competitive edge. * AI-Assisted Engineering: Embrace AI-powered tools (e.g., coding assistants, automated testing, intelligent search) as productivity multipliers, and explore opportunities where AI can enhance our copyright products. * Mentoring: Mentor and coach junior engineers, fostering a culture of continuous learning and professional growth.   REQUIREMENTS AND QUALIFICATIONS: * Experience: 5 to 7 years of relevant experience in product engineering. Previous experience in a senior or lead engineering role is highly preferred. * Technical Expertise: Demonstrated expertise in programming languages such as Java alongside proficiencies in web technologies, database management, and cloud platforms. * Proven Track Record: A history of designing, developing, and delivering successful software products from concept to launch. * Collaboration Skills: Ability to work collaboratively with product managers, designers, and other stakeholders to translate product requirements into technical solutions. * Communication Skills: Clear and effective communication skills, both written and verbal, to convey technical concepts to technical and non-technical audiences alike. * Innovation: A passion for innovation, including openness to leveraging AI-powered tools and technologies in daily engineering work. Commitment to staying abreast of emerging technologies and industry trends. * Quality Focus: A strong commitment to code quality, unit testing, and other best practices in software engineering. * Adaptability: The ability to thrive in a fast-paced and rapidly evolving environment, with a willingness to take on new challenges and responsibilities. * Problem-Solving: Excellent analytical and problem-solving skills to resolve complex technical challenges.   WHAT WE OFFER: * Competitive local benefits based on your location * We promote flexible working regarding time and/or place * Both mental and physical health initiatives * Corporate pension scheme  * Comprehensive training and development opportunities  * Industry insider events, team socials and company events * Enhanced holiday allowance  We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic.  We are committed to making all stages of our recruitment process accessible to candidates with disabilities. Please speak to our recruitment team and we will work with you to make reasonable adjustments to ensure you can perform at your best throughout your application.

Adsquare

INTRO At Adsquare, our mission is driven by our core focus: * Passion – Solving complex challenges with great people, tech, and data. * Niche – Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do: * Drive: We turn ambition into action to deliver valuable outcomes. * Resilience: We adapt, persevere, and grow stronger. * No BS: We value honesty, transparency, and clear communication. * Humble: We choose modesty over vanity and let results speak for themselves. * Moral Compass: We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work. ABOUT THE TEAM As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs. To give you an idea of the work, your daily mission might involve: * Data Ingestion & Products: Developing data solutions built on massive volumes of location signals, geospatial (places) data, and audience attribute data. * Data Integrations & Egress: Architecting privacy-first, massive-scale data egress solutions to ensure our datasets reach external partners reliably, securely, and efficiently. Regardless of the specific squad, you will work alongside a talented team of Data and Backend Engineers under the guidance of a Technical Team Lead, operating with a high degree of autonomy and a strong software engineering mindset. YOUR MISSION * Data Pipeline Ownership: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget. * Architect Scalable Solutions: Design and build robust data architectures required to process and transfer terabytes of data. * Pipeline Optimization: Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling. * Engineering Rigor: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code. * Data Monitoring: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making. * Collaboration & Mentorship: Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices. YOUR PROFILE We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment. Must-Have Technical Skills: * Programming Mastery: Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles. * Big Data & PySpark: Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg. * Advanced Optimization Skills: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles. * Database & Storage Architecture: Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks). * Cloud Native (AWS): Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch). * Infrastructure & Orchestration: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions. * Engineering Fundamentals: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines. * AI tools: Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code. NICE TO HAVE * Compiled Languages: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython). * Geospatial Data: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets. * Data Formats: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance. * Streaming Technologies: Familiarity with Kafka and Flink. * Backend Context: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design). WHY US? * Hybrid work model * 30 vacation days * Learning budget * Regular team and company events * Latest hardware of your choice * Pet-friendly Berlin office RECRUITING PROCESS COULD REQUIRE ON SITE STEPS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Short 30-min take-home technical quiz. * Step 2: Value-based interview (30 mins). * Step 3: Deep-dive technical interview (1.5 hours) with the Data team. * Step 4: Practical data-crunching challenge. * Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other. WORK MODEL Hybrid in Berlin, Remote for B2B opportunity