Sr. Full Stack Engineer

About the role

MegazoneCloud is seeking Senior Software Engineers to modernize legacy applications, manual processes, and batch workloads into event-driven, agentic architectures on AWS. This is a full stack, builder-first role focusing on modernization and platform engineering, agentic and genAI application development, data engineering & analytics enablement, and experience engineering.

Responsibilities

• Decompose legacy applications and manual or batch processes into event-driven, serverless designs using Lambda, Step Functions, EventBridge, ECS Fargate, API Gateway, DynamoDB, and S3.
• Analyze current-state architecture and integration patterns, then produce target-state blueprints grounded in the AWS Well-Architected Framework.
• Design integration patterns that work with the systems and processes already in place — not only with the ones we would have chosen.
• Build agentic and AI-enabled capabilities, operationalizing GenAI workloads on Amazon Bedrock and comparable services, and building agents that do real work.
• Instrument and evaluate what you ship. Agentic systems need evaluation harnesses, feedback loops, and monitoring, not just a demo.
• Ship full stack: design and review REST or GraphQL API contracts, assess consistency and completeness, and catch integration problems before development starts; build the front end: chat and conversational UIs, dashboards, data viewers, code diff viewers, and developer feedback workflows; write production-grade Python and TypeScript/Node.js, and read enough of everything else to review it credibly.
• Automate and operate: drive infrastructure-as-code with Terraform (or CloudFormation/CDK), build CI/CD in GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline; own testing, observability, cost efficiency, and security posture for what you deliver.
• Engage the client: critically review FRDs, BRDs, and functional specifications, identify gaps, ambiguities, and technically infeasible requirements, translate business requirements into precise platform deliverables; run architecture reviews, demos, and knowledge-transfer workshops, and produce design docs, ADRs, decision logs, runbooks, and hand-over guides that outlive the engagement; work effectively alongside client teams, partner vendors, and offshore delivery teams within established architecture governance processes such as an ARB.

Requirements

Must be authorized to work in the United States. Visa sponsorship and relocation are not provided.

Qualifications

• Experience: 5–8+ years of professional software or platform engineering experience.
• Cloud-native delivery: proven delivery of cloud-native solutions on at least one hyperscaler using containers, serverless, or microservices — with AWS depth, or the demonstrated ability to get there quickly.
• AWS serverless and event-driven stack: hands-on experience with the core services — Lambda, Step Functions, EventBridge, API Gateway, ECS Fargate, DynamoDB, S3 — and the judgment to recommend the right service for a given requirement.
• Languages: strong hands-on proficiency in Python and/or TypeScript/Node.js, and the ability to read and give design-level feedback on code you did not write.
• Infrastructure as code: Terraform, or CloudFormation/CDK/Bicep/Pulumi with a willingness to standardize on Terraform.
• Distributed systems fundamentals: a solid grasp of design patterns, integration patterns, and the industry standards behind resilient, scalable platforms.
• AI/ML and GenAI familiarity: working familiarity with LLM application patterns and AI/ML workflows, or a credible track record of ramping fast on new technology.
• Delivery discipline: comfort operating in Agile/Scrum or Kanban teams using JIRA, Git, and modern collaboration tooling, including multi-team programs.
• Communication: strong written and verbal skills — you can explain a complex cloud pattern to a skeptical engineer and to a non-technical executive in the same afternoon.
• Educational background: Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Mindset: entrepreneurial drive in a fast-paced, high-growth environment; you are comfortable with ambiguity and you finish things.
• Bonus points: 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; experience contributing to complex, multi-vendor cloud programs; AWS certifications (Developer – Associate, Solutions Architect – Associate or Professional, or equivalent); Certified ScrumMaster; MLOps tooling experience — experiment tracking, model registries, evaluation, and monitoring; prior consulting or professional services experience.

Skills

• 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.
• Experience contributing to complex, multi-vendor cloud programs.
• AWS certifications (Developer – Associate, Solutions Architect – Associate or Professional, or equivalent).
• Certified ScrumMaster.
• MLOps tooling experience — experiment tracking, model registries, evaluation, and monitoring.
• Prior consulting or professional services experience.

Benefits

N/A

Pay

$145K - $165K

Schedule

Hybrid or onsite preferred near Rochester NY, Irvine CA, or Frisco TX. Client-site and program travel as required by the engagement.