We are looking for an experienced Sr Full Stack Software Engineer to help shape and expand a newly formed internal applications capability in Mount Arlington, New Jersey. In this role, you will create enterprise tools that streamline operations, support technical business users, and strengthen secure application delivery across the organization. This opportunity is well suited for someone who enjoys building practical platforms, improving self-service experiences, and delivering modern solutions that balance speed, governance, and scalability.<br><br>Responsibilities:<br>• Architect, build, and enhance internal business applications using modern front-end and back-end technologies, including React, Python with FastAPI, and PostgreSQL.<br>• Create reusable frameworks, starter templates, and guided development patterns that help teams deliver governed applications more efficiently.<br>• Develop enterprise integrations, file exchange capabilities, and other internal tools that support essential business processes.<br>• Design self-service features that reduce manual support needs and improve the experience for internal users and technical stakeholders.<br>• Connect applications with corporate identity and access management services while enforcing role-based permissions and secure authentication practices.<br>• Establish auditability, application lifecycle controls, and governance measures to support compliance, security, and operational oversight.<br>• Work closely with engineering, IT, and security partners to ensure solutions align with technical standards and are ready for production use.<br>• Contribute to architectural decision-making and champion sound engineering practices for reliability, maintainability, and secure software delivery.<br>• Support AI-enabled and low-code development capabilities that allow users to build lightweight internal solutions within defined guardrails.
<p><strong>Cloud Engineer II</strong></p><p><strong>This Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.</strong></p><p><strong>This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.</strong></p><p><strong>The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase.</strong></p><p><br></p><p><br></p><p>Responsibilities</p><p>• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.</p><p>• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.</p><p>• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.</p><p>• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.</p><p>• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.</p><p>• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.</p><p>• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.</p><p>• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.</p><p>• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.</p><p>• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.</p><p>• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.</p><p>• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.</p><p>• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.</p><p>• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.</p><p>• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.</p>