Home
Jobs
hackajob
Full Stack Software Engineer

Full Stack Software Engineer

Hybrid

Philadelphia, United states

Junior

Full Time

11-12-2025

Share this job:

Score my CV

Skills

Communication Problem Solving Python Java JavaScript NoSQL GraphQL CI/CD Docker Kubernetes Test Test Automation Databases git angular react AWS Agile AWS Cloud

Job Specifications

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role.

Software Engineer - Full Stack(Java, AWS, Python)

We are looking for Full Stack Software Developer, Engineer 2 to help design, build, and maintain scalable applications that support network cable RF diagnostic data impairments generation. In this role, you will contribute across stack from front end framework to back-end APIs and AWS databases. This is mid-level position where you will be expected to take ownership of features and contribute to team-wide collaboration.

Responsibilities

Design, develop, test and deploy full stack applications
Build and consume REST APIs and integrations with external services
Implement user-facing features with modern framework ( React, Angular)
Collaborate with senior engineers, SRE engineers and other stakeholders
Ensure code quality through unit testing, reviews, and best practices
Troubleshoot production issues and improve application performance
Participate in Agile ceremonies and team planning sessions

Qualifications

2-4 years of professional software engineering experience
Proficiency in back-end language, Java
Strong skills in JavaScript and Angular front end framework
Experience with relational and NOSQL databases
Familiar with AWS cloud services
Knowledge of Git and CI/CD workflows
Strong problem solving and communication skills
Experience with Kubernetes, Docker
Familiarity with GraphQL or event driven systems
Expose to test automation frameworks

About the Company

We’re revolutionising tech hiring with hackajob intelligence - The AI-assisted hiring platform connecting leading tech employers with top talent, globally. Leveraging our unique large language model built from millions of platform data points, companies match with high-intent job seekers based on context and experience, not just keywords. Candidates privately explore highly relevant job offers by accepting or declining their interview requests - 90% respond within 24 hours. Powerful industry benchmarking, brand sentiment, ... Know more