Staff Engineer

Required Skills and Experience

• Demonstrated Staff Engineer-level impact across multiple teams, products, or domains
• Experience leading complex initiatives through production delivery and adoption
• Strong hands-on full-stack engineering skills and willingness to contribute directly to implementation
• Deep experience with AWS and cloud-native, scalable, secure, and observable architectures
• Strong proficiency with TypeScript, JavaScript, Node.js, REST, GraphQL, React, Next.js, frontend architecture and microservices
• Strong understanding of distributed and event-driven systems, including consistency, idempotency, retries, concurrency, and failure recovery
• Proficiency with AI-assisted development tools and agentic engineering workflows
• Ability to decompose work for AI agents, engineer context and constraints, define success criteria, and automate evaluation. Understanding of AI limitations, trust boundaries, failure modes, data sensitivity, and human-review requirements
• Strong knowledge of application security, IAM, threat modeling, secure development, and data protection
• Experience designing reliable, scalable, observable, and operationally supportable systems
• Strong architectural judgment and experience building reusable capabilities adopted by multiple teams
• Ability to mentor senior engineers and influence technical decisions without formal authority
• Strong communication skills across engineering, product, architecture, and leadership groups

Preferred Skills

• Experience building internal AI agents, evaluation systems, context frameworks, or AI safety guardrails
• Experience defining engineering standards across multiple teams
• Experience improving developer productivity through shared platforms, automation, or paved-road solutions
• Experience with AWS services such as Lambda, ECS, EKS, API Gateway, EventBridge, Step Functions, S3, and DynamoDB
• Experience with infrastructure as code, CI/CD, automated quality gates, and progressive delivery
• Experience with Datadog, CloudWatch, distributed tracing, service-level objectives, and incident reviews
• Experience modernizing complex systems or building B2B SaaS and enterprise software platforms

Ideal Candidate Profile

Technical Skills

• Backend: TypeScript, JavaScript, Node.js, REST, GraphQL. dotnet, C#
• Frontend: React, Next.js
• Architecture: Distributed Systems, Microservices, Event-Driven Architecture
• Cloud: AWS, Serverless and Cloud-Native Services, Infrastructure as Code
• Data: Relational and NoSQL Databases, Data Integration and Integrity
• Security: IAM, Threat Modeling, Application and Cloud Security
• Engineering Practices: CI/CD, Automated Testing, Observability, Reliability, Code and Design Reviews
• AI Engineering: Coding Agents, Agent Workflows, Context Engineering, Evaluations, Validation, and Guardrails

Educational Qualification

• Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology.
• Professional work experience of 8 to 12 years.