Solution Architect

Minfy is a technology consulting company that helps enterprises solve business problems with AI. Minfy’s advanced engineering capability enables enterprises to build intelligent applications, modernize legacy systems and operate mission-critical applications. Minfy combines cloud, data, and AI engineering capabilities with systems knowledge, governance frameworks and industry expertise to deliver solutions that enable faster time to market, lower cost, and better competitive differentiation for customers.

Minfy was a Leader and Star Performer in the Everest Group's AWS Services PEAK Matrix Assessment 2025 and a Seasoned Vendor in AIM Research's PeMa Quadrant for GenAI Service Providers 2026. Minfy is a premier tier consulting partner of AWS and has certifications and competencies across Anthropic, AWS, Microsoft, and Google Cloud. Founded in 2016, Minfy serves Fortune 500 companies, large enterprises, high-growth businesses, and startups across the world.

The Principal Software Engineer owns end-to-end solution architecture across application, cloud, data, and AI domains, and stays hands‑on in the codebase writing production code, building the hardest components, and reviewing the work of the engineering team. Architecture here is proven by building it, not by documenting it. Technical authority comes from setting direction, making the hard calls, shipping alongside the team, and raising the engineering bar through review and mentorship.

The role is the most senior technical voice on the project and is accountable for the quality, security, and production readiness of what is delivered.

• Act as the technical leader for assigned projects: own the architecture end to end, set technical direction, and make the calls on frameworks, patterns, and trade‑offs.
• Stay hands‑on in the codebase, personally building the critical‑path and highest‑risk components rather than delegating them, and validating architecture decisions by implementing them.
• Translate business requirements, product objectives, and operational needs into architecture blueprints and working reference implementations the team can build against.
• Design and build production AI systems, including agent runtimes and orchestration, tool contracts and function calling, retrieval, guardrails and policy enforcement, evaluation harnesses, and the cost and latency controls that make them viable in production.
• Unblock the team: pair on complex problems, debug difficult production issues, and step into whichever layer of the stack is holding delivery up.
• Drive engineering quality through design reviews, code reviews, technical standards, test strategy, and production readiness assessments.
• Design and build secure, resilient, cloud‑native solutions on AWS, owning observability, performance, scalability, resilience, and cost‑aware design.
• Ensure solutions follow secure‑by‑design principles and applicable compliance, privacy, and data protection standards, including how sensitive and personal data is handled.
• Collaborate across product, engineering, delivery, security, and client‑facing teams, and support client discussions and pre‑sales by shaping solution approaches, technology recommendations, and high‑level effort estimates.
• Mentor engineers, document architecture decisions and their rationale, and lead knowledge transfer so teams can operate and extend the system independently.

• 12+ years of experience in software engineering, solution architecture, or technical leadership roles, with strong experience designing and delivering enterprise‑grade solutions.
• Currently hands‑on: writing and reviewing production code as a regular part of the role, not solely producing designs and documentation.
• St…