Why Chapter Exists Every morning, 11,000 Americans wake up and begin their first day of retirement. While retirement should be an exciting, empowering, and fulfilling part of one’s life, the reality today is that retirement brings along with it a fundamentally new set of challenges that make it an overwhelming time for many. At Chapter, we believe that the current infrastructure for retirement is broken, and we’re on a mission to fix it. We’ve started by building industry leading technology to solve the first major obstacle in retirement: navigating Medicare (healthcare coverage for retirees over 65). Our products help seniors sign up, choose an insurance plan, and leverage their plan after they are enrolled. And, unlike most Medicare advisors who only search plans that pay them, Chapter searches every Medicare option nationwide. This allows us to find savings and benefits that others miss. But our ambition doesn’t stop with Medicare — we seek to transform the way that Americans navigate and experience retirement. If this sounds exciting to you, we’d love to speak with you.
Careers at Chapter
Latest jobs
We’re looking for a hands-on Senior Software Engineer to join our Data Engineering team, specifically the DataOps squad. We're the team behind the pipelines that move and transform 99% of the company’s data.
If you enjoy building real-time and batch data systems, working with AWS, and keeping things running smoothly under the hood, this is for you.
What You’ll Actually Do Here- Design, build, and maintain scalable and reliable data pipelines using tools like AWS Kinesis, DynamoDB, S3, Elasticsearch, and RabbitMQ
- Own the technical health and architecture of our data platform — from ETL processes to observability and performance
- Collaborate with other teams to understand data needs, identify bottlenecks, and deliver solutions
- Break down large technical tasks into actionable work for the team
- Suggest and help implement practical improvements to the stack and processes
- Help drive technical decisions and share knowledge within the team
- Occasionally act as a translator between engineering and product when it comes to data questions
- Solid experience with Java (we use Java 21) and the Spring framework
- Strong grasp of distributed systems and how to keep them reliable
- Familiarity with NoSQL databases (e.g., DynamoDB), Elasticsearch, and data streaming
- A proactive mindset — you like solving problems, not waiting for someone else to do it
- Good communication skills, especially when explaining technical topics simply
- Comfort navigating AWS and modern data infrastructure (bonus if you’ve used Spark, Flink, or PySpark)
- Willingness to learn and experiment with new tools
- Already based in the Czech Republic and legally able to work here
- Languages & Frameworks: Java 21, Spring
- Data: DynamoDB, Elasticsearch, S3
- Streaming: AWS Kinesis, RabbitMQ
- Infrastructure: Docker, AWS, LocalStack
- Bonus Points: PySpark, Apache Spark, Apache Flink, CI/CD, RDBMS, integration testing
We’re looking for candidates already living in the Czech Republic with a valid work permit, as we’re unable to provide relocation support for this role.
What We Offer
- Unlimited Vacation, 3 sick days, home office
- Flexible working hours
- Internal tech talks, Udemy courses, and workshops
- Maternity and Parental Benefit
- Meetups & conferences
- Multisport card
- A team of smart, no-nonsense people who actually care about doing good work
- Agile and open-minded culture, with high levels of trust and flexibility
- Possibility to learn new and cutting-edge technologies in an environment that encourages new ideas
- Possibility to work from offices in Prague (Karlin), Brno (Impact Hub), Pilsen (Roudná)
- Chance to compete in a ping-pong tournament or to enjoy table football, Playstation, ergonomic exercise, or run with colleagues and grilling if you're into that
- There’s more as well! Speak with us to find out all the details!
At Emplifi, we build tools that help brands understand and serve their customers better. In DataOps, we ensure all that customer data flows cleanly, reliably, and on time.
We value transparency, ownership, and a good sense of humor.
And yes — we’re downloading and processing data from major social networks, generating huge volumes of data daily. If you want to work on systems that truly operate at scale, you’ll feel right at home here.
At Emplifi, we are committed to creating a workplace where everyone is valued, respected, and empowered to bring their whole selves to work. We welcome applications from individuals of all ages, races, religions, genders, sexual orientations, gender identities, and LGBTQ+ communities.
Emplifi offers a safe, inclusive, and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.