Software Engineer
Posted 1 Sep 2026
Advertised as “Software Engr II”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
Compensation
No salary listed for this role.
Role speciality
Full-stack DevelopmentGenerative AIJava Development
Useful technologies
AngularAWSAzureAzure OpenAIBootstrapCSS3DockerGCPGeminiGitGradleHibernateHTML5JavaJavaScriptJPAKubernetesLangChainMavenMS SQL ServerOpenAIOracleReactSemantic KernelSpring AISpring Boot
Required qualifications
Field of studyComputer Science, Information Technology, Software Engineering (or related)
Study levelBachelor's
Preferred qualifications
Field of studyTechnical Field
Study levelMaster's
We are seeking a full Stack Java Developer with 4+ years of experience in designing, developing, and maintaining scalable enterprise applications using Java, Spring Boot, modern front-end frameworks, cloud platforms, and AI/Generative AI technologies.
Responsibilities
Key Responsibilities
- Develop and maintain scalable Java-based applications using modern full-stack technologies.
- Design and implement REST APIs and microservices following OOP principles and best practices.
- Build responsive front-end applications using React or Angular.
- Apply prompt engineering techniques to maximize the use of AI copilots and generative AI platforms.
- Optimize application performance using multithreading and concurrency concepts.
- Participate in code reviews, testing, deployment automation, and CI/CD processes.
- Own the complete application lifecycle, from development through production support.
- Stay updated with emerging technologies in Java, cloud, AI/ML, and Generative AI.
Qualifications
Desired Skills
- 4+ years of experience in Full Stack Java development.
- Strong expertise in Core Java, OOP, Spring Boot, Hibernate/JPA, REST APIs, and Microservices.
- Proficiency in HTML5, CSS3, Bootstrap, JavaScript, and UI frameworks such as React or Angular.
- Familiarity with AI/ML and Generative AI technologies, including LLMs such as Azure OpenAI, OpenAI, Gemini, prompt engineering, RAG, Spring AI, LangChain, Semantic Kernel, and AI service/API integration.
- Knowledge of RDBMS databases such as Oracle and MS SQL Server.
- Experience with Git, Maven/Gradle, Docker, Kubernetes, and CI/CD pipelines.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
Education
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
- Master's degree in a relevant technical field preferred.