Principal Engineer - FS

• Hands-on Engineering Craftsmanship: Architect, design, and write high-quality,

production-ready code across diverse paradigms (Frontend, Backend, and Platform)

utilizing React, TypeScript, Go, Java Spring Boot, and Python. Emphasize clean code,

• Test-Driven Development (TDD/BDD), and robust CI/CD pipelines.

• AI-Augmented Development (Mandatory Practice): Actively integrate AI coding

assistants (such as GitHub Copilot, Gemini Code Assist, Cursor, and custom LLM

prompts) into your daily software development lifecycle. Leverage these tools to

optimize coding throughput, automate test suite design, refactor legacy code bases,

and accelerate architectural prototyping.

• Architectural Leadership: Design and implement highly resilient distributed systems,

event-driven architectures, enterprise data pipelines, and agentic AI systems utilizing

• AWS, GCP , Kubernetes, and Terraform.

• Technical Discovery Pre-Sales: Partner with client-facing partners during the

pre-sales cycle. Lead technical discovery workshops, evaluate client architectures, and

draft compelling technical proposals and scoping documents for CTOs and Product

Directors.

• Client Advisory Alignment: Build strong, trust-based relationships with direct

stakeholders. E ectively translate complex architectural trade-o s into

business-aligned outcomes, guiding clients through di icult technology selection

processes.

• Enablement Mentorship: Actively pair with, coach, and upskill client-side engineers

and internal junior consultants on modern software engineering practices, testing

strategies, DevOps principles, and AI developer tooling.

• Delivery Excellence: Advocate for high-performing agile engineering practices,

continuous integration, and infrastructure-as-code to elevate the clients overall

release frequency and system reliability.

Job Responsibilities

• Frontend Backend Ecosystems: Deep expertise in building scalable web

applications using React, TypeScript, Node.js, Go, Java Spring Boot, and Python.

• Data Integration: Strong capability in designing schemas and querying with

PostgreSQL and orchestrating data layers using GraphQL.

• Infrastructure Cloud: Hands-on mastery of multi-cloud architectures across AWS

and GCP, including containerization with Docker, orchestration with Kubernetes, and

• Infrastructure-as-Code (IaC) via Terraform.

• Architectural Paradigms: Proven experience architecting large-scale Distributed

• Systems, designing Event-Driven Architectures, building high-throughput Data

pipelines, and implementing emerging Agentic Systems (AI agents).

• AI Modern Developer Tooling (Mandatory Capability)

• Advanced AI Assistant Integration: Demonstrated daily reliance on tools like GitHub

Copilot, Gemini Code Assist, or Cursor to write code, debug, and generate unit and

integration tests.

• Prompt Engineering for Developers: Advanced ability to craft custom developer LLM

prompts for code refactoring, system architecture exploration, API specification

generation, and rapid codebase onboarding.

• AI-Driven E iciency: Ability to demonstrate how AI-assisted workflows have directly

improved your personal delivery velocity, test coverage, and documentation accuracy

on previous projects.

Benefits

• Innovative Engineering: Collaborative, fail-fast, flat hierarchy. Fosters learning, initiative, curiosity.

• Masterful Development: Emphasizes clean code, SOLID principles, TDD/BDD. Utilizes robust CI/CD and polyglot engineering.

• Continuous Growth: Structured mentorship, masterclasses, Geeknights, workshops, continuous skill enhancement, blog contributions.

• Agile Client-Centric: Adopts Agile (Scrum, XP), promotes project ownership and deep client understanding for impactful solutions.

• Supportive Environment: Healthy work-life balance, flexible schedules, comprehensive benefits (generous leave), strong team-building.