Application Programmer

MSP•Chandler, AZ

12d•Hybrid

About The Position

Genesis10 is seeking a Software Engineer - Hybrid (3 days onsite) for a 12+ month contract position with a Global Financial Institution located in Chandler, AZ. This role is responsible for delivering technology products and services, with a focus on AI agent use-cases, orchestration workflows, and deterministic automation. The ideal candidate will lead the refinement of stories, design and code solution components, and contribute to reusable engineering patterns within an Agile environment.

Requirements

Strong experience developing complex software or automation solutions that translate business requirements into scalable, maintainable, and supportable technical capabilities
Advanced programming and scripting skills in languages commonly used for software engineering, API development, orchestration, and automation implementation
Demonstrated ability to work across both AI-enabled use-cases and deterministic automation patterns, with flexibility to support either based on delivery demand
Experience designing and building reusable components, services, and integration patterns that connect applications, tools, data, and workflows
Strong understanding of workflow orchestration, execution control, task sequencing, and operational logic required to move from intent or decisioning to controlled action
Experience contributing to AI agent or workflow-based solutions, including agent logic, tool interaction patterns, supporting services, and execution flow design
Strong knowledge of software development lifecycle practices including design, coding, code review, testing, version control, release management, and deployment support
Experience building and reviewing unit, integration, regression, or automated testing approaches to improve quality and production readiness
Ability to interpret and refine functional and non-functional requirements and convert them into robust technical solutions with clear implementation paths
Experience with CI/CD practices and the ability to support build, test, release, and deployment workflows in a controlled enterprise environment
Strong understanding of logging, monitoring, resiliency, error handling, supportability, and operational controls required for production-grade engineering solutions
Ability to work across architecture, engineering, automation, and delivery teams to resolve complex technical issues and support integrated outcomes
Experience mentoring less senior engineers or contributing to technical guidance, code quality, and implementation standards across a team
Strong written and verbal communication skills, including the ability to document technical approaches, integration needs, design considerations, and operational support requirements
Experience working in a fast-paced and complex environment with evolving priorities, multiple dependencies, and iterative delivery expectations
Strong analytical thinking, problem-solving ability, and technical judgment in support of high-quality engineering execution and delivery decisions

Responsibilities

Lead refinement of stories and technical requirements for AI agent use-cases, orchestration workflows, and deterministic automation capabilities
Participate in and help guide estimation of work necessary to deliver stories and requirements across both agentic and deterministic automation implementations
Perform spikes, proofs of concept, and technical experiments to reduce delivery risk, validate design choices, and inform implementation direction
Design, code, and review solution components and unit tests to deliver requirements and stories in accordance with acceptance criteria, control requirements, and engineering standards
Build and enhance reusable components that support AI-enabled workflows, agent interactions, orchestration logic, deterministic automation routines, and integration with enterprise tools and services
Utilize multiple architectural components across data, application, workflow, and automation layers in the design and development of complex requirements
Help resolve complex technical issues involved in realizing story work, including integration, orchestration, execution logic, runtime reliability, and supportability concerns
Contribute to and improve test suites, analyze test results, identify defects or failure points, and help triage and remediate underlying causes
Document and communicate required information for deployment, maintenance, support, and business functionality of developed solutions, ensuring operational teams can support them effectively
Participate in and help guide delivery and release events, including branching, pull requests, issue triage, merge and conflict resolution, release notes, and implementation support
Support secure, observable, and supportable solution delivery by implementing and promoting appropriate logging, validation, exception handling, resiliency measures, and operational controls
Mentor less senior engineers through code reviews, technical guidance, and day-to-day implementation support to improve quality, consistency, and team capability
Contribute to reusable engineering patterns, implementation standards, and delivery practices that improve scalability, consistency, and speed across both pillars
Work flexibly across Engineering & Delivery and Deterministic Automation Orchestration priorities, supporting whichever implementation demand is most critical while maintaining delivery quality and technical discipline