Top Tech Jobs & Startup Jobs

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.