Job Title: Lead Software Developer - AI/Java/AWS/DevSecOps
Location: Chicago, IL (Hybrid 3 days/Week – Only Locals Required)
Duration: 6 Months contract+
HM Notes:
Looking for Lead Software Developer, hands on exp, good communicator required. / Willing to see senior profiles or hands on Architects.
Key aspects: Use AI responsibilities, focus on legacy system using Java, microservices, Architecture, familiarity of .Net (That''s not a key).
DevSecOps exp or familiarity or integration exp using tools.
Top skills: Comm skills, leveraging tech skills, documentation, AI tools (Not required but huge plus).
Co-Pilot or GITHUB, bank is using Co-Pilot, any exp with that would be plus.
Integrating SAST, just familiarity is also fine.
Java is most important than .Net
Familiarity with AWS is helpful, deploying application (More imp than AWS), Scrum is seasoned, they just must pitch in scrum meetings.
For AI, they need someone who, Review code, understand the code, provide suggestions on design, Co-Pilot understanding.
Key Responsibilities
Lead end to end delivery of features and services using modern frameworks and design patterns, ensuring quality from initial design through production deployment.
Drive code quality through design and architecture reviews, code reviews, and strict adherence to Definition of Done, security standards, and build requirements. Act as a primary approver for pull requests and deployment pipelines.
Advance CI CD practices, automated testing, observability, and system performance and resiliency to reduce risk and improve delivery speed.
Apply AI responsibly across the software development lifecycle, including use cases such as code generation, test creation, static analysis, documentation, and incident analysis, with appropriate oversight and compliance controls.
Provide Level 3 application support and lead root cause analysis and resolution of complex production issues.
Coach and develop team members through pairing, technical guidance, and structured feedback while promoting a culture of engineering excellence and continuous improvement.
Collaborate with Product Owners and Business Systems Analysts to refine requirements and estimate backlog items, and partner with Solution Architecture to ensure alignment with target designs.
Work closely with Delivery and Engineering Managers to communicate progress, identify risks, and maintain consistent standards across initiatives.
Ensure adherence to organizational SDLC processes, security controls, and compliance requirements, and contribute to the evolution of best practices and shared standards.
Perform Scrum Master responsibilities when needed, including facilitating stand ups, sprint planning, and retrospectives, and helping the team maintain focus and delivery flow.
Required Qualifications
- Demonstrated experience delivering enterprise software as a senior or lead engineer with ownership of complex systems and responsibility for mentoring team members.
- Strong proficiency with GitHub, including branching strategies, pull request management, and repository administration.
- Knowledge of DevSecOps practices, including CI CD, infrastructure automation, monitoring pipelines, application security testing such as SAST, DAST, and SCA, secrets management, and embedding security controls within delivery pipelines.
- Experience working with Agile frameworks such as Scrum and Kanban.
- Deep expertise in Java and Spring frameworks, including Spring Boot and Spring Cloud, for building scalable services and APIs.
- Strong experience designing and integrating APIs, including building, and consuming RESTful services.
- Proficiency with relational and non-relational databases, with advanced SQL skills in complex queries, performance optimization, and schema design.
- Hands on experience with test automation and strong practices in unit, integration, and performance testing.
- Experience applying AI in the software development lifecycle, including practical use of AI assisted coding, test generation, code analysis, and documentation, along with an understanding of safe and effective usage.
- Proficiency with AWS cloud services, including compute, container orchestration, serverless, API management, storage, databases, and identity and access management.
- Strong understanding of secure coding practices and observability, including logging, metrics, and distributed tracing.
- Familiarity with modern frontend frameworks such as Angular and React.
- Ability to translate business requirements into technical designs and deliver work in iterative increments.
- Excellent written and verbal communication skills.