Role Description We’re looking for a Full Stack Developer to help expand and refine the LEXSO (Layered Extended Security Operations) platform—a modular, microservice-based system designed to orchestrate real-time data from sensors, cameras, AI engines, and automation tools across security operations environments. As a full stack engineer, you’ll contribute across both frontend and backend domains, building scalable microservices, powerful APIs, and responsive user interfaces. You'll work alongside specialists in automation, sensor fusion, and distributed systems to solve complex challenges in a modern DevOps environment. This is a great opportunity for someone with a few years of experience who wants to take ownership of major features and help drive architectural and system-level improvements in a fast-moving, impactful platform. Responsibilities: - Design and develop backend services using FastAPI, Kafka, PostgreSQL, and Docker. - Build and maintain frontend interfaces using React, TypeScript, and real-time visual components (e.g., WebSockets, Mapbox). - Create and maintain REST APIs and Kafka consumers for automation and alerting workflows. - Integrate a wide range of devices and sensors (e.g., PTZ cameras, LiDAR, radar, drones) into reusable service modules. - Contribute to component design, service orchestration, and data modeling. - Participate in sprint planning, peer reviews, and CI/CD deployment workflows. - Debug, test, and optimize both backend and frontend features. - Collaborate using Git, GitHub, Jira, Confluence, and automated build pipelines. - Work is typically based in a remote environment and subject to frequent interruptions. Business work hours are Monday-Friday standard core hours, however some extended or weekend hours may be required. - Other duties as assigned. Qualifications - Proficiency with Python (preferably FastAPI or similar frameworks) - Proficiency with JavaScript/TypeScript and React or another frontend framework - Experience designing and consuming REST APIs - Familiarity with relational databases (e.g., PostgreSQL) and schema design - Experience with Docker, Git-based workflows, and Agile teams - Strong problem-solving skills and attention to software quality Preferred: - Exposure to Kafka, MongoDB, or OpenSearch/Elastic - js, Tailwind CSS, shadcn/ui - OAuth/JWT authentication flows (e.g., via Keycloak, Auth0) - Real-time systems: WebSockets, pub/sub architectures - IoT, robotics, or physical device integrations - CI/CD tooling: GitHub Actions, ArgoCD, Kubernetes - Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field is required. Candidates with equivalent degrees (e.g., Robotics, Mechatronics, Data Science, Cybersecurity) will also be considered. Benefits - Constellis offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects its commitment to creating a diverse and supportive workplace.

Role Description We are looking for a Senior Full Stack Engineer with strong experience in AI/LLM integration, modern Next.js development, and distributed systems architecture. The ideal candidate is an AI-first developer who actively uses tools like Copilot, Cursor, and Claude Code to accelerate development and help drive AI engineering best practices across the team. Qualifications - AI / LLM Integration (Must Have) - Architecture & System Design - Event-Driven Architecture - Database Design - Next.js (Must Have) - Preferred Experience Requirements - Hands-on experience integrating OpenAI, Azure OpenAI, Anthropic, or similar LLMs into production applications. - Experience with: - Prompt engineering - Streaming responses - Confidence scoring and evaluation - Hallucination mitigation - Human-in-the-loop workflows - Agentic AI solutions - Active user of AI coding tools such as Copilot, Cursor, Claude Code, etc. - Ability to establish AI-driven development workflows and best practices. - Strong architectural mindset with the ability to design scalable systems and justify technical decisions. - Experience building cloud-native, distributed applications. - Hands-on experience with Azure Service Bus, RabbitMQ, Kafka, or similar messaging technologies. - Strong understanding of asynchronous workflows and event-driven systems. - Experience designing solutions using Cosmos DB, MongoDB, or other document databases. - Strong understanding of NoSQL data modeling and scalability patterns. - Proven experience with Next.js, including: - App Router - Server Components - Server Actions - Experience with Azure cloud services. - Exposure to AI orchestration frameworks such as LangChain, Semantic Kernel, or similar. - Strong mentoring and technical leadership skills. Benefits - All your information will be kept confidential according to EEO guidelines.

• Build full-stack features on our go-forward platform: React on the front end, .NET and Node.js services, in a cloud-native microservice architecture on Azure. • Use AI coding tools and agents (like Claude Code) to help generate, test, and refactor code across the development cycle — guiding the work and owning the result. • Apply real design judgment — architecture, service boundaries, and design patterns (SOLID/DRY) — to build software that’s extensible, reusable, and built to last. • Take part in technical design — help shape how the features and components you work on get built. • Review and validate code and tests (including AI-generated ones) for correctness, security, and performance — partnering with the team to make sure what ships is solid and high quality. • Write and validate tests across unit, integration, and regression — including the edge cases that break things. • Turn product specs into clear, well-scoped work, and ask sharp questions early when something’s unclear. • Collaborate and keep learning — with Product, UX, QA, and DevOps — as our tools and practices evolve.

• This is a remote position. • ITTConnect is seeking a Senior Infrastructure Engineer - Cisco CUCM expert to work remotely from anywhere in Brazil for a client in the US. • Collaborate with internal teams to deliver high-quality infrastructure solutions. • Troubleshoot complex multi-system infrastructure issues and implement effective solutions. • Design and implement infrastructure solutions that meet client needs.