Lead Backend Engineer

•Agentic AI Inabia Software & Consulting Inc. Hartford, CT Job Details Full-time 22 hours ago Qualifications Data model design Software engineering Data modeling projects High availability solutions design Enterprise software Improving system uptime or availability Data retrieval time improvement System design Scalable systems Schema design Enterprise software systems development Event-driven architecture Programming languages Data Architecture Design (Architecture design skills) Production systems Clean architecture Leading team collaboration initiatives Scalability Cloud Architecture Design (Architecture design skills) Systems analysis Distributed computing Query management Project leadership Project stakeholder communication Design (software development lifecycle) High availability Web services design Full Job Description Lead Backend Engineer

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Agentic AI Location:

Hartford, CT

•3

Days Onsite Employment Type:

Contract Experience:

5-7+

Years Visa:

H1B Only Job Overview Virtusa is looking for a Lead Backend Engineer

•Agentic AI with strong backend software engineering experience and hands-on exposure to modern Agentic AI workflows and Model Context Protocol (MCP) servers . The ideal candidate will have production-grade Python development , strong relational database/SQL expertise, and solid experience designing scalable backend systems. Candidates do not need to come from a pure AI/ML research background; strong software engineering fundamentals, architecture skills, and practical AI-agent integration experience are the primary focus. The selected candidate will also provide technical leadership by driving architecture and design decisions, conducting design reviews, establishing engineering standards, and mentoring other engineers. Key Responsibilities Design, develop, and maintain scalable, production-grade backend services using Python . Own technical direction for a workstream or service area. Design modular, maintainable, loosely coupled services with clear domain boundaries. Build horizontally scalable systems using stateless architecture, partitioning/sharding, load distribution, and resilient service patterns. Design and integrate Agentic AI workflows and MCP-based solutions into production systems. Lead technical design reviews and establish software engineering standards. Evaluate architecture tradeoffs involving consistency, availability, latency, throughput, scalability, and maintainability. Implement event-driven and asynchronous processing patterns where appropriate. Apply strong practices around idempotency, caching, API versioning, and fault tolerance. Work closely with product, architecture, and engineering stakeholders on technical decisions. Mentor engineers on software architecture, coding practices, and system design. Drive adoption of Agentic AI/MCP patterns across engineering teams. Must-Have Skills 5-7+ years of professional software engineering experience. Strong Python development experience as the primary programming language. Strong SQL and relational database fundamentals.

Experience with:

Database schema design Data modeling Query optimization Relational databases Hands-on experience with Agentic AI workflows and/or MCP servers . Strong understanding of backend architecture and distributed systems. Experience designing scalable and resilient production systems. Strong knowledge of SOLID principles , modular design, and separation of concerns. Strong understanding of domain-driven boundaries and service-oriented architecture. Experience with event-driven and asynchronous architectures. Strong technical communication and leadership skills.

Cloud Experience Preferred:

Google Cloud Platform ( GCP )

Acceptable:

AWS Candidates should have practical cloud experience deploying or supporting production backend applications. Architecture & System Design Requirements Candidates should demonstrate experience with: Modular architecture High cohesion / low coupling Bounded components and services Stateless application design Horizontal scalability Partitioning and sharding Load distribution Avoiding single points of failure/contention Event-driven architecture Asynchronous processing Idempotency Caching strategies API design and versioning Distributed-system reliability Performance and scalability optimization Technical tradeoff analysis Agentic

AI / MCP

Requirements Hands-on exposure to Agentic AI is highly important.

Relevant experience may include:

AI agent workflows Multi-step agent orchestration Tool-using AI agents LLM-integrated backend services Agent-to-tool integrations MCP servers / Model Context Protocol AI-driven automation workflows Production integration of AI agents with enterprise systems Strong backend engineers with practical Agentic AI/MCP experience are preferred over candidates whose experience is primarily AI/ML research. Leadership Expectations The candidate should be capable of: Owning technical direction for a service or workstream. Making architecture and design decisions. Leading design/code reviews. Establishing technical standards and best practices. Mentoring engineers. Communicating architecture decisions to technical and non-technical stakeholders. Partnering with product and architecture teams. Driving adoption of Agentic AI and MCP patterns. Candidate Requirements Requirement Details Experience 5-7+ Years Primary Language Python AI Agentic

AI / MCP

Database Relational

DB / SQL

Cloud GCP preferred; AWS acceptable Location Hartford, CT Onsite 3 Days/Week Employment Contract Visa H1B Only 0ooEuJg0PD