Top Tech Jobs & Startup Jobs

Design and implement browser automation and AI-assisted workflow solutions. Build integrations with enterprise applications and APIs, handle authentication, orchestration, exception handling, and improve reliability and performance of automation systems.

Analyzes business processes, data quality, and datasets to identify AI and automation opportunities. Translates business requirements into AI/ML use cases, collaborates on model development, evaluates model performance, and creates dashboards and reports. The role monitors AI solutions, researches emerging technologies, and supports governance, compliance, responsible AI, and prompt engineering initiatives while partnering with data scientists, engineers, product teams, and business stakeholders.

Develop and maintain scalable Snowflake data warehouses, ETL/ELT pipelines, data models, and integrations across cloud and on-premises sources. Optimize queries, clustering, partitioning, and warehouse performance; implement transformations using SQL, stored procedures, and Snowpark. Monitor data quality, governance, security, deployments, and production issues. Collaborate with engineers, architects, analysts, and business stakeholders while automating workflows and contributing to data architecture and best practices.

Design, develop, and maintain automated testing solutions for customer-facing applications and web services. Build test frameworks, integrate tests into CI/CD pipelines, and improve coverage, reliability, security, and release quality. Develop front-end and web-service automation using Groovy/Geb and Java/HttpClient, troubleshoot application issues, participate in code and test reviews, and collaborate with Agile development teams throughout the software lifecycle.

Develop and maintain responsive web applications using Angular, JavaScript, and TypeScript. Build reusable UI components, integrate REST APIs, translate designs into functional interfaces, and optimize performance, accessibility, and browser compatibility. Troubleshoot issues, participate in testing and code reviews, and collaborate with designers, backend developers, QA, and product teams in an Agile/Scrum environment.

Develop and maintain robust, accessible, and performant native iOS applications using modern Swift technologies and architectures. Collaborate with product, architecture, UX, and platform teams to define roadmaps, engineering standards, tooling, and design patterns. Build product features and UI infrastructure, write automated tests, modernize codebases, support App Store releases, and contribute through code reviews, mentoring, pair programming, and mobile engineering expertise.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Own the technical architecture for SAP Commerce Cloud, digital storefronts, ERP, middleware, logistics, and unified commerce platforms. Lead architectural reviews, coding standards, integration patterns, scalability, and platform reliability. Design SAP integrations, event-driven messaging, order routing, fulfillment logic, resilient distributed systems, and high-volume commerce infrastructure. Architect production GenAI and vector-search solutions with strict latency and cost controls. Partner with Product, Operations, and Engineering leadership on complex business initiatives.

Lead the planning, execution, monitoring, and delivery of enterprise technology projects. Manage scope, timelines, budgets, resources, risks, vendors, and stakeholder communications while coordinating cross-functional teams across Agile, Scrum, and Waterfall environments. Projects may include software development, cloud transformation, application modernization, and enterprise technology implementations. Ensure business and technology objectives are achieved across multiple concurrent initiatives.

Develop secure, scalable Java applications within an agile engineering team. Provide technical guidance, review and debug production code, influence application design and technical processes, and serve as a subject matter expert. Lead adoption of AI-assisted development tools with validation for security, performance, and correctness. Apply SDLC, CI/CD, resiliency, security, and Kubernetes expertise while supporting containerized applications and collaborating with technical teams, contractors, and vendors.