ImagineX

QA Engineer

• Design, build, and maintain automated test frameworks for UI, API, and integration testing
• Develop robust automated test suites using modern languages and tools (e.g., Java, Python, JavaScript, Kotlin, Selenium, Cypress, Playwright, Appium)
• Integrate automated tests into CI/CD pipelines and ensure fast, reliable feedback loops
• Collaborate with engineering teams to identify root causes, improve testability, and prevent defects
• Define quality metrics and contribute to continuous improvement initiatives
• Perform performance, load, or reliability testing as needed
• Review code, contribute to architectural discussions, and champion automation-first practices
• Mentor junior engineers on automation, tooling, and quality engineering principles

Quality Engineer

Product Designer

• Contribute to end-to-end product design across client engagements, from discovery through delivery
• Support the creation and maintenance of design standards, components, and scalable best practices
• Collaborate closely with product, engineering, and delivery teams to align design with business and technical goals
• Participate in discovery workshops, design sprints, and collaborative sessions with clients
• Conduct user research, usability testing, and synthesize insights to inform design decisions
• Communicate design rationale clearly through storytelling, prototypes, and visual artifacts
• Execute across UX, UI, interaction design, and prototyping with attention to detail
• Contribute to internal initiatives, design critiques, and team knowledge sharing

DevOps Engineer

• Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM)
• Design, build, and optimize Azure DevOps CI/CD pipelines for application and infrastructure deployments
• Manage and automate provisioning, configuration, and scaling across multiple environments
• Deploy, secure, and maintain Azure Kubernetes Service (AKS) clusters and containerized workloads
• Implement monitoring, logging, and alerting using Azure Monitor, App Insights, and Log Analytics
• Partner with engineering teams to streamline build, test, and deployment workflows
• Implement and enforce cloud security best practices, including identity, secrets management, and network controls
• Troubleshoot production issues, perform root‑cause analysis, and drive long‑term reliability improvements
• Champion DevOps culture, automation, and continuous improvement across teams.

Senior Azure DevOps Engineer

Director

• Own the end‑to‑end reconciliation and money movement domain, including ledgering logic, payout flows, and exception handling.
• Deeply understand how funds move through the current system — where data originates, how it transforms, where it breaks, and why.
• Document an existing, tribal‑knowledge‑heavy system and turn it into a clear, maintainable, auditable operational model.
• Lead the architectural direction for a long‑term fix to the post‑capture payout calculation issue, ensuring alignment with both Finance and Engineering.
• Partner with engineering teams to design and implement scalable, accurate, and resilient reconciliation and ledgering systems.
• Serve as the primary translator between Finance and Engineering — ensuring both sides understand requirements, constraints, and impacts.
• Define product requirements, roadmap, and success metrics for reconciliation and money movement systems.
• Identify root causes of reconciliation discrepancies and drive cross‑functional resolution.
• Build processes, controls, and reporting frameworks that improve accuracy, transparency, and audit readiness.
• Provide leadership, clarity, and direction in a domain where ambiguity and complexity are currently high.

Director, Ledger Reconciliation Systems

Backend Engineer

• Lead backend engineering efforts across design, development, testing, and deployment
• Break down complex technical challenges into clear, actionable work for the team
• Foster a collaborative environment where every engineer feels engaged and empowered
• Partner closely with product and business stakeholders to understand the why behind what we build
• Drive best practices in test automation, code quality, and system reliability
• Provide technical mentorship and guidance to engineers of varying experience levels
• Contribute to architectural decisions and long‑term technical strategy
• Explore and integrate AI‑driven capabilities where they add meaningful value

Backend Technical Lead

Data Engineer

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Strong communication needed.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.

Senior Data Engineer

Project Manager

• Own end‑to‑end delivery for large‑scale software and AI initiatives, ensuring predictable execution across multiple workstreams
• Serve as the primary client partner for delivery, managing expectations, communication, and stakeholder alignment at all levels
• Collaborate with Technical Leads, Architects, and engineering teams to translate complex requirements into actionable plans
• Build and maintain delivery roadmaps, timelines, budgets, and risk mitigation strategies
• Facilitate cross‑team coordination, ensuring dependencies, blockers, and risks are identified early and resolved quickly
• Leverage AI‑assisted tools to improve planning, estimation, documentation, and reporting
• Ensure teams follow modern engineering practices including CI/CD, testing, observability, and secure development
• Produce clear, executive‑level reporting on progress, risks, and outcomes
• Lead discovery sessions, scope definition, and solution framing with clients and internal teams
• Foster a culture of accountability, collaboration, and continuous improvement across distributed teams

Senior Project Manager

Scrum Master

• Lead day‑to‑day delivery for Java full‑stack and AI‑driven engineering teams, ensuring predictable, high‑quality outcomes
• Serve as the primary client partner for delivery, facilitating communication, alignment, and expectation management
• Run Agile ceremonies (standups, sprint planning, retros, backlog refinement) with a focus on flow, clarity, and continuous improvement
• Collaborate with Technical Leads, Architects, and engineers to break down complex requirements into actionable work
• Identify risks, dependencies, and blockers early—and drive resolution across teams and stakeholders
• Leverage AI‑assisted tools to improve planning, estimation, documentation, and delivery efficiency
• Ensure teams follow modern engineering practices including CI/CD, testing, observability, and secure development
• Produce clear, concise reporting on progress, risks, and outcomes for internal and client stakeholders
• Facilitate technical discovery sessions and help translate business needs into structured requirements
• Foster a culture of accountability, collaboration, and continuous improvement across distributed teams

Technical Project Manager/Scrum Master

Full-stack Engineer

• Lead the technical design and architecture of full‑stack Java applications using Spring Boot and modern front‑end frameworks
• Drive the integration of AI/ML capabilities into enterprise systems, including LLM‑powered features, intelligent automation, and AI‑assisted workflows
• Provide hands‑on development while guiding the team in best practices, code quality, and modern engineering standards
• Mentor and coach engineers across multiple levels, fostering growth and technical excellence
• Collaborate closely with product, data, and AI teams to define technical strategy and deliver end‑to‑end solutions
• Oversee system performance, scalability, observability, and security across the stack
• Champion the use of AI‑assisted engineering tools to improve velocity, reliability, and developer experience
• Facilitate technical discussions with clients, translating complex concepts into clear recommendations
• Contribute to CI/CD pipelines, cloud architecture, and DevOps practices to ensure smooth, reliable deployments

Software Technical Lead

Solutions Engineer

• Lead end-to-end solution design for enterprise applications built on Java, Spring Boot, and modern front-end frameworks
• Partner directly with clients to understand business goals, uncover technical constraints, and architect solutions that balance innovation, scalability, and cost
• Define system architectures, integration patterns, data flows, and cloud deployment strategies
• Identify opportunities to embed AI/ML capabilities into solutions, including LLM-powered features, intelligent automation, and AI-assisted workflows
• Create architectural artifacts such as diagrams, reference architectures, and technical roadmaps
• Guide engineering teams through implementation, ensuring alignment with architectural standards and best practices
• Evaluate new technologies, frameworks, and AI tools to inform solution strategy
• Facilitate technical workshops, discovery sessions, and design reviews with client stakeholders
• Ensure solutions meet enterprise requirements for security, performance, reliability, and maintainability
• Mentor technical leads and engineers, fostering a culture of technical excellence and continuous improvement

Software Solutions Architect

• Develop and maintain backend services using Java, Spring Boot, and related frameworks
• Build responsive, user-friendly front-end features using modern JavaScript/TypeScript frameworks (e.g., React, Angular, or Vue)
• Participate in design discussions, code reviews, and sprint ceremonies
• Collaborate with cross-functional team members to deliver high-quality features end-to-end
• Write clean, maintainable, and testable code following engineering best practices
• Leverage AI-assisted tools to accelerate development and improve code quality
• Troubleshoot, debug, and optimize applications for performance and reliability
• Contribute to CI/CD pipelines, cloud deployments, and automation efforts

Software Engineer I

• Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns
• Build intuitive, performant front-end experiences using React, Angular, or Vue
• Lead technical design discussions and contribute to architectural decisions
• Integrate AI/ML capabilities into applications (e.g., embeddings, LLM-powered features, intelligent automation)
• Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring
• Mentor junior engineers and promote engineering best practices across the team
• Collaborate closely with product, data, and AI teams to deliver end-to-end solutions
• Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization
• Ensure security, scalability, and maintainability across the full stack

Senior Software Engineer

Android Engineer

• Designing and building scalable and high-performance Android Applications
• Daily Scrum
• Keep up with status in Jira
• Write clean, maintainable code and ensure adherence to best coding practices and standards
• Support in production code during business hours