Python full stack engineer with AI

Job description

Job Summary

• Provide application software development services and technical support in complex situations.
• Lead technical design, development, and documentation of cross-functional, multi-platform application systems.
• Analyze, define, and document requirements for data workflow, logical processes, and system interfaces.
• Ensure expected application performance levels by coordinating coding, testing, implementation, and documentation.

Key Responsibilities

• Requirements & Documentation
• Support requirements gathering and prepare BRD/SRD documentation as needed.
• Develop flowcharts, layouts, and documentation to satisfy requirements and solution design.
• Compile system/procedure documentation authored by senior developers.
• Software Development
• Execute full lifecycle software development and follow the Software Development Life Cycle (SDLC) best practices.
• Write well-designed, testable, and efficient code.
• Integrate software components into a fully functional software system.
• Maintain software functionality and currency; manage technical debt.
• Apply security and privacy principles throughout design and implementation.
• Testing & Quality
• Review test plans and test data.
• Analyze, design, and develop tests and test automation suites.
• Develop software verification plans and quality assurance procedures.
• Actively participate in code reviews.
• Deployment & Support
• Participate in deployment activities following all change controls.
• Troubleshoot, debug, and upgrade existing systems.
• Provide ongoing maintenance, support, and enhancements to existing systems and platforms.
• Ensure software is updated with the latest features.
• Provide recommendations for continuous improvement.
• Team & Delivery Leadership
• Allocate and coordinate work within a team/project as required.
• Mentor junior-level engineers.
• Contribute to the achievement of related team objectives.

Learning & Continuous Development

• Complete all mandatory training and policy-awareness curricula on time.
• Use learning tools (e.g., Pluralsight) to complete recommended and aspirational targets set in personal development plans.

Collaboration & Ways of Working

• Leverage existing product functionality and promote reuse.
• Work alongside other engineers to elevate technology standards and consistently apply best practices.
• Collaborate closely with team members and take shared responsibility for team commitments.
• Collaborate cross-functionally with data engineers, business users, project managers, and other engineers to deliver elegant solutions.
• Utilize local meetups/communities of practice to gain and share knowledge.

Qualifications / Experience

• Thorough knowledge of SDLC.
• Prior experience using an application development toolkit and mainframe development technologies such as COBOL, DB2, and CICS.
• Strong communication, organization, and teamwork skills.

Skillset

• AI Assisted Development
• COBOL, JCL, CICS, DB2, VSAM
• Object-oriented programming concepts
• DevOps tools and concepts including Git branching strategies, pull/merge requests
• Agile tools including Jira, Zephyr Scale, Confluence