Software Engineer, DevOps, Cloud Engineer - Software
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-06-27
Listing for:
Kelly Services
Full Time
position Listed on 2026-06-27
Job specializations:
-
Software Development
DevOps, Cloud Engineer - Software, Full Stack Developer, Backend Developer
Job Description & How to Apply Below
$53.56 - $58.7
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer 3 in Charlotte, NC (Onsite).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12 Months
Required Skills & Experience- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- 6+ years of software engineering experience, in enterprise environments.
- Strong full stack development skills with Java/Spring Boot and React and/or Angular.
- Proven ability to work effectively with cross-functional and geographically distributed teams.
- Experience with event-driven, streaming architectures and Apache Kafka.
- Hands‑on experience with RDBMS (e.g., Oracle, SQL Server) and No
SQL (e.g., MongoDB, Cassandra) systems. - Experience deploying to Oracle Cloud Platform (OCP) or similar large‑scale cloud platforms.
- Demonstrated experience using Generative AI tools for software development and automation.
- Strong understanding of Dev Ops principles, CI/CD automation, and containerization technologies.
- Experience with infrastructure automation and continuous testing practices.
- Solid understanding of secure coding practices, authentication/authorization patterns, encryption, and data protection.
- Natural collaborator; able to uplift junior engineers and offshore teams.
- Strong architectural mindset with the ability to translate complex requirements into clean, scalable solutions.
- Comfortable in fast‑paced, enterprise environments with evolving priorities.
- Passion for innovation, automation, and modern engineering practices.
- Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large‑scale planning related to Software Engineering deliverables.
- Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
- Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
- Collaborate with client personnel in Software Engineering.
- Participate in complex, enterprise-wide engineering initiatives with broad technical impact.
- Partner closely with cross‑functional teams including Architecture, Dev Ops, Platform Engineering, and Cybersecurity.
- Participate in and improve code reviews, design reviews, and production support processes.
- Define, promote, and enforce engineering standards, patterns, and best practices.
- Design, develop, test, and document full stack applications using Java, Spring Boot, React and/or Angular.
- Architect and implement event‑driven and streaming solutions using Apache Kafka.
- Analyze existing large‑scale systems and drive modernization and architectural improvements.
- Ensure delivered solutions meet enterprise‑level security, compliance, and performance requirements.
- Drive adoption of AI‑assisted engineering practices, including:
- Code generation and code completion
- Automated test generation
- AI driven code reviews
- AI powered documentation creation
- Integration of LLM/GenAI capabilities into applications and workflows
- Deploy and support applications on Oracle Cloud Platform (OCP) or equivalent enterprise cloud providers.
- Apply strong understanding of Dev Ops practices, CI/CD automation, and containerization (Docker, Kubernetes).
- Work with both RDBMS and No
SQL storage systems. - Implement an “automation‑first” culture across CI/CD pipelines, testing frameworks, and operational processes.
- Optimize build pipelines and infrastructure automation across cloud and on prem environments.
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