Tech Lead

Tech Lead

AArete is one-of-a-kind when it comes to consulting firm culture.

We’re a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: “Areté.”  And excellence is exactly what we strive for.  

We’re celebrating our fourth year as one of Forbes’ World’s Best Management Consulting Firms – and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete’s “Culture of Care” takes a holistic approach to the employee experience.  

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment. 

The Role

We are seeking a highly experienced Tech Lead / Solution Architect to lead the design, development, and delivery of our AI-powered SaaS platform. This role is responsible for owning the end-to-end technical architecture and execution, while leading a cross-functional team of frontend (React.js), backend (Golang), and AWS DevOps/Infrastructure engineers. The ideal candidate combines deep technical expertise with strong leadership, ensuring scalable, secure, and high-performance solutions aligned to product roadmap and business outcomes.

Work You’ll Do

Architecture & Technical Leadership

• Define and own the end-to-end system architecture (frontend, backend, data, AI/ML, and cloud infrastructure)
• Design scalable, resilient, and secure solutions leveraging AWS cloud-native services
• Establish best practices, coding standards, and design patterns across the engineering team
• Drive architectural decisions for high-throughput AI/LLM-based processing systems

Product Delivery & Execution

• Lead execution of the product roadmap, ensuring timely and high-quality delivery of features
• Break down business requirements into technical designs, epics, and sprint deliverables
• Ensure alignment between product, engineering, and data/AI workflows
• Proactively identify and mitigate technical risks and bottlenecks

Team Leadership & Collaboration

• Lead and mentor a cross-functional team including:
• Frontend engineers (React.js)
• Backend engineers (Golang / APIs / microservices)
• AWS DevOps and Infrastructure engineers
• Foster a culture of ownership, accountability, and engineering excellence
• Conduct code reviews, design reviews, and technical coaching

Platform Engineering & Scalability

• Architect systems capable of high-scale processing (e.g., large document ingestion, LLM workloads)
• Optimize performance for low latency, high throughput, and cost efficiency
• Drive implementation of CI/CD pipelines, observability, and monitoring frameworks
• Ensure system reliability through fault tolerance, retries, and self-healing mechanisms

 AI/ML & Data Integration

• Collaborate with AI/ML teams to integrate LLM pipelines, OCR, and metadata extraction workflows
• Design data models and pipelines for structured and hierarchical data outputs
• Ensure seamless integration with downstream systems (data warehouses, BI tools, APIs)

Security, Compliance & Governance

• Implement and enforce security best practices (RBAC, encryption, secure APIs, VPC architecture)
• Ensure compliance with enterprise standards (e.g., HIPAA, HITRUST, data privacy requirements)
• Oversee access controls, auditability, and data protection mechanisms

Stakeholder Engagement

• Partner with product managers, business stakeholders, and clients to translate business needs into technical solutions
• Provide technical input into roadmap planning, effort estimation, and prioritization

•         Communicate architecture decisions and trade-offs clearly to both technical and non-technical stakeholders

•         Other duties as assigned

Requirements

• 10+ years of experience in software engineering and system architecture
• Proven experience as a Tech Lead or Solution Architect in building scalable SaaS platforms
• Frontend: React.js (or similar modern frameworks)
• Backend: Golang (or comparable languages like Java, Python, Node.js)
• Cloud: AWS (Lambda, ECS/EKS, S3, RDS, Bedrock, IAM, VPC, etc.)
• Experience designing microservices and distributed systems
• Familiarity with AI/ML systems, LLM integration, or data processing pipelines
• Strong understanding of DevOps practices, CI/CD, and infrastructure-as-code

Preferred Qualifications

• Experience building AI-driven or data-intensive platforms