You will design, develop, and modernize high-performance enterprise applications using the Microsoft stack, specifically C# and Blazor. You will also lead tech stack upgrades, optimize application performance, and collaborate with cross-functional teams to deliver production-ready features.
The Lead Agentic AI Engineer will architect and operationalize autonomous multi-agent systems integrated with the Salesforce platform. They are responsible for establishing technical standards, evaluation pipelines, and secure orchestration workflows to ensure high-accuracy AI performance.
The developer will lead application modernization initiatives, including code analysis, architectural refactoring, and tech stack upgrades within agile Scrum PODs. They are responsible for designing scalable web applications and establishing engineering best practices using the latest Microsoft technologies.
You will architect and optimize an agent-ready data foundation, including semantic models and high-performance analytical views. Additionally, you will lead the implementation of data governance frameworks and collaborate with AI teams to align data structures with RAG and Agentic AI workflows.
You will architect and deploy a hierarchical multi-agent platform using LangGraph to transition legacy workflows into autonomous systems. Additionally, you will implement observability, automated evaluation harnesses, and security guardrails to ensure high-performing AI agent reliability.
You will own the reliability, scalability, and automation of cloud-native infrastructures while acting as the primary architect for CI/CD pipelines. Additionally, you will implement robust monitoring, security best practices, and mentor engineering teams on DevOps methodologies.
Design, build, and deploy production-ready AI agents and agentic workflows using frameworks like LangGraph and CrewAI. Orchestrate autonomous systems by connecting AI capabilities to enterprise data sources and tools via RAG and Model Context Protocol.
You will architect and develop enterprise-grade backend services and web APIs while optimizing complex data layers and ORM integrations. Additionally, you will lead technical research and collaborate within an Agile Scrum POD to deliver high-performance, maintainable .NET solutions.
The Senior Data Engineer will design and maintain scalable data pipelines and architectures to ensure reliable data ingestion and transformation. They will also collaborate with stakeholders to define data models and mentor junior team members.
You will architect and deploy autonomous agentic workflows and multi-agent systems using cutting-edge LLM frameworks and cloud infrastructure. Additionally, you will lead technical execution, establish observability and security guardrails, and mentor engineering teams throughout the AI development lifecycle.
You will own the technical health and architectural evolution of mission-critical web application frontends. Responsibilities include leading React development, optimizing performance, and mentoring junior engineering team members.
The HubSpot Administrator will architect and configure the CRM environment, including deal pipelines, custom objects, and automated workflows. They are also responsible for maintaining data integrity, managing system integrations, and delivering executive-level reporting to support revenue operations.
The Senior Cybersecurity Engineer will design and deploy robust cloud security architectures while enforcing zero-trust policies across multi-cloud environments. They will also lead incident investigations, automate threat-detection pipelines, and collaborate with engineering teams to integrate DevSecOps practices.
Design and implement scalable backend systems and APIs to support e-commerce logistics and real-time inventory synchronization. Collaborate with stakeholders and the CTO to align technical execution with business strategies while mentoring team members.
Own the quality assurance strategy and execute manual testing across web, mobile, and API layers for mission-critical applications. Collaborate with automation engineers to identify test cases for script transition and mentor junior QA staff.
The Senior QA Automation Engineer will lead the design and maintenance of automated testing frameworks for API, Web, and Mobile layers. They will also integrate these tests into CI/CD pipelines and mentor team members on modern quality methodologies.
The Delivery Director is responsible for leading and scaling the delivery organization while acting as a strategic technical partner for clients. This role involves overseeing project execution, mentoring team members, and ensuring high-quality delivery standards across all accounts.
The Senior Engineer will own the technical health and architectural evolution of critical Java backends, acting as the anchor for complex 3-tier architectures and SQL databases. Key duties include leading robust Java development, designing RESTful integrations, managing SQL environments, and elevating team output through mentorship and code reviews.
The Senior Engineer will lead the development of robust .NET architectures, ensuring high performance, security, and scalability for mission-critical backends. Key duties include designing RESTful integrations, managing SQL databases, and elevating team output through code reviews and mentorship.
The Senior QA Automation Engineer will own the quality strategy and automated testing framework for mission-critical applications, focusing on building scalable test suites across API, Web, and Mobile layers. This role involves driving a quality-first culture, identifying edge cases, reducing manual testing overhead, and mentoring other engineers on modern testing methodologies.
Key responsibilities include designing and developing databases, creating schemas, and ensuring data integrity through efficient organization and indexing. The role also involves optimizing complex SQL queries, managing database systems like MySQL or PostgreSQL, and implementing security and backup strategies.
The MLOps Engineer will design, deploy, and maintain scalable and ethical autonomous AI systems. Key tasks include model deployment, cloud infrastructure management, automation of workflows, and ensuring compliance with security and ethical standards.
Lead the architectural design of complex agentic AI solutions and provide technical guidance to junior developers. Design and develop advanced agentic AI systems while ensuring adherence to ethical guidelines and regulatory standards.
