Staff Software Engineer building production inference APIs for Cerebras Systems’ AI - chip platform. Integrating models, runtimes, and distributed serving systems for fast, reliable inference.
About the role
- Full Stack Developer at Morgan Stanley responsible for developing and enhancing distributed systems. Collaborating with teams to modernize platforms and ensure high availability and security.
Responsibilities
- Design, develop, enhance, and support distributed, multi-tier applications.
- Apply strong object-oriented design (OOD), algorithms, and programming skills to build scalable systems.
- Collaborate closely with internal teams, external clients, and end users to understand requirements and deliver solutions.
- Participate in system integration efforts, requirements analysis, and platform evolution.
- Contribute to the modernization of the platform, including adoption of: Containerization and orchestration technologies (Docker, Kubernetes), Distributed coaching and messaging systems (Redis, Kafka), Emerging GenAI and LLM-based capabilities.
- Operate within Agile methodologies to maximize productivity and client satisfaction.
Requirements
- 6+ years of strong programming experience in Java and Spring.
- Solid working knowledge of Unix/Linux environments, APIs, and shell scripting.
- Experience with distributed systems, algorithms, web services, and multi-threaded applications.
- Proficiency with relational databases (Sybase or other RDBMS), including complex stored procedures.
- Container and platform technologies: Docker / Podman, Kubernetes.
- Good understanding of frontend technologies: modern JavaScript frameworks (React or Angular).
- JVM performance monitoring and tuning tools.
- Scripting and automation with Python, Bash, or Perl.
- Hands-on experience using Redis as a distributed cache.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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