Top Tech Jobs & Startup Jobs

Provide technical leadership for scalable retail transaction management and payment authorization/settlement platforms. Design and optimize Java-based microservices, REST APIs, and distributed systems; establish architecture and coding standards; oversee testing, CI/CD, security, and performance; modernize legacy systems to Azure cloud-native architectures; collaborate across teams; mentor engineers; and promote AI-assisted development practices.

Designs, develops, evaluates, and deploys enterprise-scale AI, machine learning, NLP, generative AI, and agentic solutions for e-commerce. Builds scalable Python pipelines on Databricks and Azure, develops distributed streaming ML applications, and drives software delivery through DevOps, MLOps, and LLMOps practices. Collaborates cross-functionally to translate business needs into reliable AI products while implementing responsible AI, explainability, fairness, human validation, compliance, and governance.

Lead the technical strategy, architecture, development, testing, deployment, and maintenance of full-stack .NET eCommerce applications and integrations. Build scalable, reliable software using C#, SQL, JavaScript, MVC, cloud, and web technologies. Troubleshoot production issues, improve performance, document solutions, coordinate distributed teams, collaborate with business and product stakeholders, and mentor junior engineers. The role also supports system integration, APIs, microservices, data compliance, and Azure Kubernetes-based architectures.

Designs and scales AI/ML platforms for pricing, promotion optimization, and demand forecasting across B2C and B2B channels. Develops time-series, causal inference, reinforcement learning, recommendation, and price elasticity models. Builds end-to-end ML pipelines, production API integrations, monitoring, retraining, and drift detection. Collaborates with data engineering, product, marketing analytics, cloud, and business teams to optimize revenue, profitability, promotions, competitive pricing, and customer-segment decisions.

Design, develop, test, and maintain scalable Java microservices and REST APIs using Spring Boot. Build event-driven cloud-native solutions, collaborate on system design and code reviews, troubleshoot and optimize performance, and ensure reliability, security, and scalability. Contribute to CI/CD, DevOps, and Agile practices while working with transactional and NoSQL databases, Azure or GCP, Docker, Kubernetes, and messaging platforms.

Design and develop scalable, highly available data-driven solutions for inventory management, order fulfillment, and supply chain optimization. Build algorithms, applications, microservices, distributed systems, and production-grade data pipelines across cloud and on-premises environments. Partner with business, product, and program management teams throughout the SaaS lifecycle, applying Agile, CI/CD, reliability, performance, and maintainability best practices.

Designs, implements, and supports enterprise storage and backup platforms across on-premises and hybrid cloud environments. Manages SAN/NAS systems, Cisco MDS fabrics, Veritas NetBackup, disaster recovery, replication, capacity planning, performance optimization, lifecycle management, and incident resolution. Automates operations with PowerShell and Python, maintains documentation and compliance, supports on-call operations, and provides technical leadership and mentoring.

Leads Salesforce platform modernization, release management, feature adoption, technical debt reduction, scalable development, security governance, integrations, CI/CD, data protection, and performance optimization. Designs solutions using Apex, LWC, Flows, and declarative tools; replaces redundant customizations with native capabilities; mentors engineers; establishes coding standards; and aligns the platform roadmap with business priorities.

Build, maintain, and scale CI/CD pipelines; manage containerized applications with Docker and Kubernetes; provision cloud infrastructure using IaC tools; deploy and monitor Azure and Google Cloud environments; automate tasks with Groovy, Python, and Shell; troubleshoot reliability issues; and improve monitoring, logging, alerting, and DevOps practices.

Leads the design, development, and reliability of Java microservices and React applications. Owns architecture, APIs, event-driven integrations, cloud deployments, testing, CI/CD, performance optimization, and production incident resolution. Integrates established AI and LLM services into application workflows, applying prompt engineering, output validation, responsible AI controls, and secure integration patterns. Leads design and code reviews, mentors engineers, documents technical decisions, and collaborates with product, UX, data, and platform teams.