Full Stack Developer

Job Title : Full Stack Developer

Location: Tampa, FL / Dallas, TX (Onsite from first day of joining)

Job Type : Fulltime permanent

Job Summary

Must Have Technical/Functional 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.

Roles & 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.