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Data Nexus AI in Menlo Park (Hybrid 3 days onsite) is seeking a capable full-stack engineer to design, develop, test, and deploy applications using C, C++, Python. You will build REST APIs and microservices for high-volume systems, collaborate across product, architecture, and QA teams, and contribute to CI/CD and DevOps practices.
You will develop reusable UI components, optimize performance, and ensure secure data handling in financial-like environments while maintaining thorough technical
Design, develop, test, and deploy full stack applications using C,C++,Python.
Build robust RESTful APIs and microservices for high-volume, low-latency systems.
Collaborate with product owners, business analysts, architects, and QA teams to deliver high-quality solutions.
Develop responsive, reusable UI components and integrate them with backend services.
Participate in architecture, code reviews, and technical design discussions.
Optimize application performance, reliability, and scalability.
Implement best practices for security, data protection, and compliance in financial systems.
Create and maintain technical documentation for code, APIs, and deployment processes.
Troubleshoot production issues and provide timely resolution in collaboration with support teams.
Contribute to CI/CD pipelines and DevOps automation practices.
Strong hands-on experience in **C,C++,Golang and Python**
Solid experience with **REST APIs**, **Microservices Architecture**, and messaging systems (Kafka/RabbitMQ).
Experience with relational databases such as **DB2**,**Oracle, SQL Server, or PostgreSQL**.
Experience in **Python**.
Familiarity with build and dependency tools: **Maven/Gradle**.
Experience with version control systems such as **Git**.
Strong knowledge of software design principles, data structures, and multithreading/concurrency.
Excellent analytical, problem-solving, and communication skills.
Experience in financial services, investment banking, or capital markets.
Exposure to cloud platforms (**AWS / Azure / GCP**) and containerization (**Docker, Kubernetes**).
Knowledge of caching and performance tools (Redis, Elastic, profiling tools).
Familiarity with CI/CD tools such as **Jenkins**, **GitHub Actions**, or similar.
Experience with automated testing frameworks (JUnit, Mockito, Cypress/Selenium).
Understanding of secure coding and regulatory/compliance requirements in banking environments.
Ownership mindset and attention to detail
Ability to work in agile, fast-paced teams
Strong collaboration across global teams
Commitment to engineering excellence and continuous improvement