Senior Full Stack Developer

Job Title:

Application Programmer III

Location:

Jersey City, NJ (Onsite 3 days/week) Duration:
Contract - 12 months Pay Range: $68.25/hr (W2) Job  | NJ About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Senior Full Stack Developer to join our dynamic team. The ideal candidate will have strong experience in Java, Python, API-driven architectures, modern data warehouses, AI/MCP services, and Dev Ops and a proven ability to design, implement, and support enterprise-scale applications and data platforms end to end. Responsibilities:
Design, develop, and maintain enterprise-grade backend and full stack applications using Java and Python. Build, integrate, and manage Model Context Protocol (MCP) services to enable AI/LLM-driven workflows and integrations. Architect and implement RESTful and event-driven APIs applying clean architecture, SOLID principles, and secure coding standards. Design and operate ETL and data pipelines using Informatica, PySpark, SQL, and Python to support transactional and analytical workloads.

Leverage modern data warehouses such as Vertica, Single Store, Click House, and Snowflake with a focus on SQL optimization and performance. Integrate AI/ML features, including LLM-based capabilities, prompt orchestration, and model serving via MCP or APIs. Deploy and operate containerized applications with Docker and Kubernetes; support CI/CD pipelines and Dev Ops tooling. Perform production support, troubleshooting, root cause analysis, and performance tuning across Linux and Windows environments.

Collaborate with application, data, AI, and platform teams; lead reviews and mentor engineers while promoting best practices. Required Skills &

Qualifications:

10+ years of professional software engineering experience in enterprise or large-scale systems. Strong proficiency in Java and Python; C# is a plus. Extensive experience building and consuming RESTful APIs and event-driven services. Hands-on experience with ETL frameworks, including Informatica, PySpark, and SQL-based pipelines. Strong experience with modern data warehouses such as Vertica, Single Store, Click House, and Snowflake. Deep knowledge of SQL optimization and data performance tuning.

Proven experience with Docker, Kubernetes, and containerized deployments. Experience integrating or supporting AI/ML-driven systems, preferably with MCP-based services. Strong understanding of Linux and Windows operating environments. Proficiency with Git and modern SDLC practices, including code reviews and branching strategies. Frontend experience with React, Angular, or similar frameworks. Experience designing microservices and event-driven architectures. Strong CI/CD and Dev Ops background (e.g., Git Hub Actions, Jenkins, Azure Dev Ops).

Experience with cloud platforms such as Azure, AWS, or GCP. Background in high-volume, data-intensive, or regulated systems; prior technical leadership or solution architecture experience. Preferred

Skills:

Experience with AI pipelines, prompt engineering, and model serving through MCP or APIs. Prior work in Agile/Scrum settings with strong stakeholder collaboration. Interview Process Round 1:
Video interview with 2-3 interviewers, including technical and hiring manager. Round 2:
Technical deep dive with team lead, onsite or via video. Round 3:
Final discussion with senior leadership. Glider assessment:
Candidate . Top Soft Skills Strong communication and stakeholder collaboration. Analytical thinking and problem-solving. Ability to work independently and deliver under tight timelines. Top Technical Skills Strong Java and Python development skills.

Experience with modern data warehouses such as Vertica, Single Store, Click House, and Snowflake. Proven experience with Docker,…