Lab49 is an award-winning specialist consultancy that creates bespoke technology in partnership with the most important companies in finance.

We were founded in 2002 to bring Silicon Valley solutions to Wall Street's door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud, and data science.

Today, we are an established partner in financial markets, having delivered hundreds of projects for clients including all the world's tier-one investment banks and many of the largest buy-side firms globally.

Being part of Lab49 means bringing your drive and creativity into an environment where your contributions will make immediate impact. Engineers will work in cross functional teams, consulting directly with our clients, shaping not only technical solutions to business problems but delivering them into production

Responsibilities

• Build distributed systems that deal with actor-based concurrency, reactive programming, distributed in-memory data grids, messaging that goes beyond plain JMS as we fully expect to participate in shaping the future of financial technology stacks
• Work on server side JVM-based projects
• Hit the ground running with the typical Java or Scala JVM ecosystem stack (Spring and its subprojects, Guice, Guava, Maven, Hibernate, Jetty, etc.)
• Retool continuously as the technology landscape changes every few years
• Be able to pick up other technologies along the whole development stack, including front-end and other non-JVM ecosystems
• Work with our clients in iterative, project-based engagements, where self-organizing and focused teams move quickly to build innovative solutions for the client
• Have the desire to collaborate, and like sharing and learning from your colleagues
• Be passionate about delivering quality code
• Demonstrate experience writing commercial-grade software applications
• Have a deep understanding of multithreading and real-time software architectures
• Have an abiding interest in and competence for solving real-world business problems (with technology as an enabler)
• Be determined to succeed despite obstacles and challenges, as well as a positive attitude favoring achievement of goals over open-ended investigation

Required Skills and Experience

• 8+ years of recent hands-on experience in designing and coding complex, enterprise, commercial-grade applications in core, server-side Java, ideally Java 8+
• Experience building RESTful Web Services
• Test-driven development, which includes Unit and End-to-End Testing
• Experience with Agile software development (e.g. SCRUM or KANBAN)
• Experience in a CI/CD environment
• Bachelors or Masters in Computer Science, Engineering, Physics, Math, or related work experience
• Experience with, knowledge of, and strong demonstrated interest in, global financial markets and financial products.

Why Lab49?

Lab49 is an established partner for most financial institutions on Wall Street. You will gain exposure into a variety of environments, business domains, technologies, and people. Your ability to bring drive and creativity to the role will be the key component to success at Lab49. The broad and intense exposure to a variety of challenges accelerates your career growth, and Lab49's structure is designed to enable you to learn and grow as an engineer and consultant.

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.