Pedals Up is looking for an experienced and skilled Senior Java Engineer to join our engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance applications using Java and modern backend technologies. You will collaborate with cross-functional teams to build reliable software solutions, contribute to architectural decisions, and ensure code quality and performance.
Design, develop, and maintain scalable backend applications using Java and related technologies.
Build and integrate RESTful APIs and microservices.
Collaborate with product managers, designers, and engineers to translate business requirements into technical solutions.
Develop clean, efficient, reusable, and maintainable code.
Participate in system architecture, technical planning, and design discussions.
Optimize application performance, scalability, security, and reliability.
Identify, troubleshoot, and resolve complex technical issues.
Conduct code reviews and ensure adherence to coding standards and best practices.
Write and maintain unit, integration, and automated tests.
Mentor junior developers and support knowledge sharing within the team.
Contribute to Agile development processes and continuous improvement initiatives.
Skills
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Strong experience in Java development and object-oriented programming.
Proficiency in Java frameworks such as Spring Boot, Spring MVC, and Spring Security.
Experience designing and developing RESTful APIs and microservices.
Strong understanding of data structures, algorithms, and design patterns.
Experience working with relational databases such as MySQL or PostgreSQL.
Familiarity with NoSQL databases such as MongoDB or Redis.
Experience with Git and version control systems.
Understanding of CI/CD pipelines, build tools, and automated testing.
Familiarity with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
Strong debugging, analytical, and problem-solving skills.
Excellent communication, collaboration, and technical documentation skills.
Question you might have,
Answers we definitely got
Do we need clean data for this to work?
No. Most companies don’t have clean data on day one. We’ve built our process to work with messy data, CRMs, databases, APIs, even PDFs in some cases. If your data truly can’t be used at all, we’ll find out in the first 48 hours and offer a refund, not a 2-week extension.
How do you handle our IP and data security?
Everything you share stays yours. We sign an NDA before any work starts, use your data only for this engagement, and delete or return it once we’re done if you ask. Nothing you give us gets reused for another client or a case study without your sign-off.
What if the prototype doesn’t work?
Then you’ve spent two weeks and a fixed price finding that out, not two quarters and a six-figure budget. If it doesn’t hold up, we tell you plainly and you walk away with a clear answer instead of a sunk cost.
Is this AI consulting or actual development?
Development. We don’t sell strategy decks. You get a working AI prototype built on your own data, running by the end of the two weeks, not a set of recommendations for someone else to build later.
Can we extend the Quick-Start to 4 weeks instead of 2?
The two weeks is fixed on purpose, it’s what keeps the scope honest. If you need more time once the prototype proves out, that’s what the Sprint package is for: 4-6 weeks, fixed price, taking the prototype to production.
Who actually does the work?
The senior engineer who scopes your project on the first call is the one who builds it. We don’t hand off to juniors after kickoff.
Ready When You Are
Start With a Conversation, Not a Contract
Tell us what you’re building or what’s slowing you down. We’ll scope it on the first call, whether that’s a two-week AI Quick-Start or a longer build.
