Senior Associate, Full Stack - Springboot
$87.97k - $188.95kKPMG
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, were able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the worlds top professional services firms. Spark your curiosity and ignite your career at The Lighthouse.
KPMG is currently seeking a Sr. Associate for our Consulting practice.
- Design and implement scalable and robust software systems in Java, Python, and React JS while developing, testing, and deploying cutting-edge functionality within our microservice architecture.
- Collaborate with cross-functional teams to determine functional and non-functional requirements for new software or applications.
- Provide technical leadership, mentor junior developers, and ensure best practices are followed.
- Write clean, maintainable, and efficient code utilizing Spring Boot, Kubernetes, and other frameworks.
- Implement and manage CI/CD pipelines using tools like Maven.
- Contribute to the continuous improvement of our software engineering practices.
- Perform code reviews to ensure high code quality and adherence to standards while developing and optimizing SQL queries for efficient data retrieval and manipulation.
- Deploy and manage applications in AWS or Azure cloud environments.
- Utilize Git for version control and collaborative development and stay updated on emerging technologies and trends, including developing skills in GenAI and LLM.
- A minimum of three years of full stack development and programming experience with proven experience as a Full Stack Developer or similar role.
- Bachelor's degree in computer science, Software Engineering, or a related field.
- Strong expertise in Java, Python, and React JS and proficiency with Spring Boot, and Kubernetes.
- In-depth understanding of microservices architecture with a solid understanding of software engineering principles and practices with experience with GenAI and large language models (LLM).
- Experience with SQL databases and c loud platforms (AWS or Azure).
- Knowledge of CI/CD processes and tools like Maven, familiarity with version control systems like Git.
- Ability to travel
- Must be authorized to work in the U.S without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H1B1, F-1, J-1, OPT, CPT or any employment-based visa)
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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