Description

Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
 
Required Qualifications:
7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:
Approximately 7+ years of professional experience in software engineering or application development with a proven track record of delivering production‑quality systems
Strong hands‑on experience with Java full stack, Kafka, Python, and frameworks aligned with the team’s technology stack
7+ years of  Demonstrated ability to apply AI‑assisted development practices at scale to improve engineering productivity, code quality, and reliability
7+ years of  Practical experience using AI‑powered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms)
7+ years of  Solid understanding of the end‑to‑end software development life cycle (SDLC) and hands‑on experience working in Agile / DevOps delivery models
7+ years of  Advanced proficiency with source control systems, CI/CD pipelines, and modern development workflows, including AI‑augmented reviews and automation
7+ years of  Experience supporting deployments, upgrades, environment stability, and production operations, including on‑call or incident support
7+ years of  Strong foundational knowledge of databases, APIs, distributed systems, messaging platforms, and system integrations
Good awareness of security, risk, data privacy, compliance, and responsible AI usage, with the ability to apply these principles in design and implementation
Ability to independently troubleshoot and resolve moderately complex technical issues, leveraging documentation, system telemetry, and AI‑assisted insights
7+ years of  Demonstrated commitment to continuous learning, especially emerging AI technologies and patterns relevant to the engineering domain
Strong communication skills with the ability to collaborate effectively with engineers, product partners, and stakeholders, and to mentor junior team members

Key Skills

Education

Bachelor's degree