Full Stack Developer
Role details
Job location
Tech stack
Job description
- Design, develop, and maintain microservices and distributed systems using Java, Spring Boot, and related frameworks.
- Deliver full-stack features end-to-end (React UI * Java services * data), including testing, release, and production support.
- Build reliable, scalable APIs and event-driven workflows; contribute to code reviews and shared engineering standards.
- Troubleshoot issues using logs/metrics/traces and drive root-cause fixes and incremental improvements.
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, Proficiency in automation and continuous delivery methods
Requirements
Our client is seeking a highly motivated Full-Stack Developer to help build and enhance next-generation platforms supporting global post-trade operations. You will contribute to the design, development, and modernization of systems that process corporate actions, income events, entitlements, and client reporting across multiple markets. This role is ideal for an engineer with over 5 years of experience who enjoys solving complex problems, working in a fast-paced environment, and delivering resilient, scalable solutions used across the firm., * Strong Java backend skills (API design, concurrency basics, testing) plus solid React/TypeScript fundamentals (state management, performance, component design
- Messaging platforms like RMQ, Kafka , FX or Dervis Trade lifecycle domain functional knowledge
- Experience with distributed systems patterns: async messaging, retries/idempotency, schema/versioning, and safe rollouts.
- Working knowledge of SDLC in controlled environments (secure coding, least privilege, auditability, operational readiness).
- Years of experience and seniority expectations - 5+ years
- Hands-on with Cassandra data modeling and performance tuning; Kafka stream processing or exactly-once/at-least-once semantics familiarity.
- Applied AI experience (LLM/RAG integrations, prompt/tooling patterns, evaluation/guardrails) in production applications.
- Observability and reliability depth (SLOs, alerting hygiene, incident response, postmortems).
- Frontend & AI: React + TypeScript; AI integrations (LLM APIs/SDKs, vector search/RAG where relevant), CI/CD + Git, and logging/metrics/tracing tools.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion.
Benefits & conditions
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The base pay rate for this position is $140,000 - 170,000 USD.
This pay rate represents mthree's good faith and reasonable estimate of the base pay for this role at the time of posting and based on the locations listed in the job advertisement. It is anticipated that qualified candidates selected for a placement will receive this pay rate as a starting salary once onsite with the mthree client, however, the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.