Jobs at ImagineX Consulting

Leads the architecture, development, and operation of scalable enterprise data platforms, pipelines, ETL/ELT workflows, and transactional lakehouses. Uses AWS Glue, Apache Spark, Apache Hudi, and Amazon Athena to deliver production-grade data solutions. Provides data architecture leadership, code reviews, technical standards, query optimization, CI/CD integration, troubleshooting, and mentoring while collaborating with clients, product managers, and cross-functional teams.

Plans and conducts end-to-end mixed-methods user research for client engagements, including interviews, usability testing, surveys, market analysis, and synthesis. Translates findings into actionable product recommendations, presents results to stakeholders, supports service design artifacts, facilitates workshops, mentors researchers, and contributes to internal research practices while using AI-assisted tools responsibly.

Build and optimize scalable Azure data pipelines, architectures, and ELT processes. Develop data infrastructure, analytics tools, ingestion systems, transformations, metadata, and workload management solutions. Support developers, analysts, data scientists, executives, and product teams while securing data across regions. Perform root-cause analysis and extract value from large, complex datasets.

Leads the design, development, and operationalization of scalable enterprise applications using C#/.NET and React/TypeScript. Responsibilities include architecting backend services and frontend features, conducting code reviews, establishing engineering standards, optimizing high-scale systems, integrating CI/CD and cloud deployments, leveraging AI-assisted development tools, collaborating with stakeholders, and mentoring engineers.

Architects and manages AWS cloud infrastructure with Terraform, Kubernetes, and Amazon EKS. Designs and optimizes GitHub Actions CI/CD pipelines, automates multi-environment provisioning and scaling, troubleshoots production issues, performs root-cause analysis, and improves reliability. Collaborates with software and data engineering teams while promoting DevOps automation and continuous improvement. Uses Anthropic Claude for code generation, architecture exploration, troubleshooting, documentation, and operational efficiency.

Designs scalable Android architectures and leads technical development using Kotlin, Jetpack, and modern patterns. Collaborates with backend, design, AI, clients, and stakeholders on integrations, APIs, prototypes, and enterprise solutions. Leads mob-programming sessions, reviews complex code, integrates AI-driven features, and ensures Android codebases remain reliable, performant, maintainable, and scalable.

Lead the DevOps and SRE practice for a client, managing engineers, coordinating executives and stakeholders, overseeing infrastructure modernization, CI/CD optimization, monitoring, incident response, delivery risks, and operational improvements. Serve as a trusted client advisor while translating technical concepts into business outcomes and driving team performance, development, and resource allocation.

Design end-to-end product experiences across client engagements: conduct user research and testing, create UX/UI, interaction design, prototypes, and design systems; collaborate with product, engineering, and delivery teams to align design with business goals and contribute to internal design standards and critiques.

Lead manual QA efforts: create and run test plans, execute functional/exploratory/regression tests across web and mobile, document and track defects, validate features pre-release, support UAT, and collaborate with product and engineering on acceptance criteria and release readiness.

Design, build, and maintain automated test frameworks for UI, API, and integration testing; integrate tests into CI/CD; perform performance/load testing; collaborate with engineers to prevent defects; define quality metrics; review code; and mentor junior engineers to drive automation-first quality practices.

Lead research strategy and execution across client engagements, running mixed-methods studies (qualitative, quantitative, secondary research), synthesizing findings into product and service recommendations, facilitating workshops, establishing research operations, leveraging AI-assisted tools, and coaching designers and researchers. Acts as primary research partner to client stakeholders and contributes to internal research practices.

Lead design and implementation of high-performance Go backend services and distributed systems. Architect microservices, optimize performance, enforce CI/CD and observability best practices, mentor engineers, troubleshoot production incidents, and drive technical strategy across product, DevOps, and engineering teams.

As a Software Engineer I, you will develop enterprise applications, focusing on Java backend and modern frontend frameworks, collaborating in a high-performance team.

The Senior Software Engineer will design and deliver enterprise applications, mentor junior engineers, and integrate AI capabilities into Java systems, focusing on scalable solutions.

Lead the design and architecture of Java full-stack applications, mentor engineers, integrate AI/ML capabilities, and drive technical excellence.

Lead complex, multi-team software and AI projects ensuring delivery from discovery to execution while managing stakeholder expectations and timelines.

Lead the design of enterprise systems, collaborating with clients, defining architectures, and integrating AI to create scalable solutions.

Lead cross-functional engineering teams delivering Java full-stack and AI solutions, managing client partnerships, Agile processes, and technical challenges.