Full Stack Developer

Skills

• Front‑End Engineering: Deep expertise in React, TypeScript, and JavaScript.
• Proven experience in Data Visualization (e.g., D3.js, Chart.js, Recharts, or similar libraries).
• Back‑End Engineering: Strong proficiency in Node.js, Python, and C#.
• Ability to design and implement RESTful APIs and microservices.
• Cloud & DevOps: Hands‑on experience with cloud platforms: AWS and GCP.
• Extensive knowledge of containerization and orchestration: Docker, Kubernetes, and Helm.
• Messaging & Streaming: Experience building asynchronous systems using Kafka and/or Apache Pulsar.
• Databases & Search: Proficiency in relational databases: PostgreSQL, SQL Server.
• Proficiency in NoSQL, caching, and search engines: MongoDB, Redis, and Elasticsearch.
• CI/CD: Experience configuring and maintaining deployment pipelines using GitLab CI, Jenkins, and Argo CD.
• AI & Innovation: Practical experience using AI‑Assisted Development (e.g., GitHub Copilot, Cursor, Tabnine) and implementing LLM‑integrated engineering workflows.
• Methodology & Certification: Active SAFe Agile Certification (e.g., SAFe Agilist, SAFe Practitioner) is required.

Responsibilities

• Full‑Stack Development: Design, develop, and maintain responsive web applications using modern front‑end frameworks and versatile backend languages.
• Data Visualization: Create intuitive, interactive data visualizations and dashboards for complex datasets.
• Cloud & Infrastructure: Deploy, manage, and scale applications across AWS and GCP using containerization and orchestration tools.
• Event‑Driven Architecture: Build and optimize high‑throughput, real‑time messaging and streaming systems.
• Database Management: Design data models and manage both relational and NoSQL databases to ensure high availability and performance.
• CI/CD & DevOps: Establish and maintain automated deployment pipelines for continuous integration and continuous delivery.
• AI‑Augmented Engineering: Utilize AI coding assistants and integrate Large Language Models (LLMs) into engineering workflows to improve code quality and team velocity.
• Agile Leadership: Actively participate in SAFe® Agile ceremonies, collaborating closely with product owners, scrum masters, and cross‑functional teams to deliver value iteratively.

Pay

Salary Range: $100,000-$120,000 a year