Cyber Full-Stack Software Engineer
Deloitte
This job at a glance
- Who can apply
- 1–3 years of experience · Bachelor's degree
- Must know
- CybersecurityStakeholder managementMicroservicesCI/CDJavaScriptTypeScript
- Nice to have
- AzureAWSGCPKubernetes
- Work
- On-site in Pittsburgh
- Pay
- Not stated by the employer.
- Skill demand
- CI/CD44%Cybersecurity26%Stakeholder management24%Microservices20%of 100 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
Deloitte's Cyber Engineering team is spearheading the buildout of Cybersecurity technology for the next generation of Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Position Summary
Join Deloitte's Cyber Engineering team to help build technology that supports the next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will collaborate with cross-functional teams to deliver scalable, secure, and maintainable solutions that support client and business needs.
Key Responsibilities
- Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
- Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
- Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
- Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
- Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development
Requirements & Tech Stack
- Full stack development across frontend and backend technologies
- Frontend experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
- Backend experience using Node.js, Python with Django or Flask, or Java with Spring Boot
- Experience building and consuming Representational State Transfer (REST) application programming interfaces
- Experience with microservices or serverless architectures in production environments
- Experience working with relational databases and at least 1 NoSQL database
- Experience using Git, Azure DevOps or similar tools, Docker
- Experience with Agile or Scrum methods
- Experience with automated testing and continuous integration and continuous deployment (CI/CD) pipelines
- Experience developing, integrating, or deploying artificial intelligence (AI), Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Ability to travel 20%, on average.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Preferred Qualifications
- Experience with object-oriented programming, design patterns, and clean coding practices
- Experience building secure, reusable, responsive, and maintainable applications
- Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
- Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
- Experience with Bootstrap, jQuery, or JavaServer Pages (JSP) in legacy or mixed-technology environments
- Cloud certification in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)