Lead Software Engineer

MegazoneCloud is looking for a Lead Software Engineer to own technical direction on complex, multi-vendor cloud programs that modernize legacy applications and manual processes into agentic, event-driven architectures on AWS. This role involves hands-on technical leadership, focusing on architecture, design decisions, and stakeholder engagement in large enterprise engagements.

Responsibilities:

• Own the target-state architecture for the program: event-driven and agentic designs built on Lambda, Step Functions, ECS Fargate, API Gateway, DynamoDB, S3, EventBridge, and Bedrock
• Make and defend service selection, integration pattern, and design tradeoff decisions, grounded in distributed systems fundamentals and the AWS Well-Architected Framework
• Set the engineering standards multiple teams deliver against — patterns, contracts, testing expectations, and the definition of done
• Stay hands-on where it counts: reference implementations, architecture spikes, and the hardest technical problems your teams surface
• Review code and technical artifacts — Python, Node.js/JavaScript, Terraform — with enough depth to give meaningful design-level feedback, not surface commentary
• Contribute to and review REST and GraphQL API contracts, assessing consistency and completeness and identifying integration issues before development begins
• Critically review FRDs, BRDs, and functional specifications — surfacing gaps, ambiguities, and technically infeasible requirements early, and translating business requirements into precise platform deliverables
• Participate in architecture governance — ARB or equivalent — as the person who prepares the submission and answers for it
• Engage senior client stakeholders at VP level and above, face to face, as the technical voice of the program
• Translate between business and IT audiences at varying levels of seniority without losing precision in either direction
• Produce the written record the program runs on: architecture decision records, decision logs, design documentation, and status reporting that an executive can act on
• Coordinate technical delivery across multiple teams, partner vendors, offshore development groups, and specialist analytics firms
• Hold vendor output to the same technical bar as internal work, and escalate credibly when it falls short
• Run the program's technical cadence within an Agile delivery model — Scrum or Kanban — across teams that do not all report to the same place

Requirements:

• 8+ years of professional software or platform engineering experience, including demonstrated time as the senior technical lead on complex, multi-vendor cloud programs
• Solid hands-on knowledge of Step Functions, Lambda, ECS Fargate, API Gateway, DynamoDB, S3, EventBridge, and Bedrock
• Proven delivery modernizing legacy applications and processes into event-driven, and increasingly agentic, architectures
• Comfortable reading Python, Node.js/JavaScript, and Terraform well enough to provide design-level feedback and assess system architecture
• Able to contribute to and review REST or GraphQL contracts and catch integration problems before development starts
• Demonstrated ability to critically evaluate FRDs, BRDs, and functional specifications and convert them into platform deliverables engineers can execute against
• A track record engaging business and technical stakeholders at VP level and above in person, and holding the room
• Experience managing offshore development teams, specialist firms, or partner delivery relationships within a larger program
• Familiarity with solution architecture and design review processes, including contributing to an ARB or equivalent
• Strong written and verbal skills — clear documentation, decision logs, ADRs, and status reports that hold up under scrutiny
• Experience running or leading technical delivery across multi-team programs using Scrum or Kanban
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
• Experience in regulated environments — life sciences, clinical, healthcare, or financial services — including validated or GxP-adjacent systems
• Familiarity with scientific or statistical computing environments and the workflows around them: SAS, R, statistical programming pipelines, and analysis-ready data and reporting outputs
• Hands-on experience with GenAI and LLM application patterns — agentic workflows, retrieval, tool use, guardrails, and evaluation
• AWS certifications at Professional level (Solutions Architect – Professional or DevOps Engineer – Professional); Certified ScrumMaster
• Prior consulting or professional services experience on enterprise engagements
• Experience standing up a delivery capability, practice, or program from scratch