Top Tech Jobs & Startup Jobs

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

Lead complex technical programs across platform engineering, coordinating engineering, product, infrastructure, security, and business teams. Manage planning, execution, launches, dependencies, risks, governance, roadmaps, KPIs, and executive reporting. Improve Agile delivery, developer productivity, engineering velocity, and operational scale while translating technical concepts for executive stakeholders.

Lead development of Java and Python upload, orchestration, and API services for large-scale historical data transfers to Amazon S3. Build React JS interfaces for batch scheduling and monitoring, integrate TIFF images and metadata, and implement reconciliation and retry workflows. Configure Jenkins CI/CD pipelines and Docker/Kubernetes deployments while optimizing production performance, scalability, and reliability.

Configure, customize, and support Microsoft Dynamics 365 Sales solutions, including entities, workflows, forms, integrations, data migrations, and custom C# processes. Develop JavaScript, HTML, and SQL enhancements, apply solutioning best practices, and integrate Power Platform, Azure Data Factory, and Logic Apps. Troubleshoot technical issues and collaborate with stakeholders to deliver scalable, secure systems.

Lead AI and data science teams across enablement and experimentation initiatives. Set priorities, translate business needs into technical work, manage operating rhythms and resources, guide AI technology roadmaps, evaluate experiments, establish responsible AI governance, and optimize infrastructure and LLM-related costs. The role requires advanced Python, LLM and RAG expertise, machine learning frameworks, Azure deployment experience, statistical and forecasting knowledge, and ML lifecycle management skills.

Lead development of scalable Python microservices and full-stack applications with React frontends. Design APIs, optimize databases, manage CI/CD pipelines, containerize services with Docker and Kubernetes, and ensure automated testing, performance, and reliability. Collaborate on architecture and requirements, conduct code reviews, mentor junior developers, and enforce software engineering best practices.

Designs and leads scalable AWS data platforms, ETL pipelines, real-time streaming, data migrations, and analytics infrastructure. The role uses services including EMR, Redshift, Athena, Kinesis, DMS, CloudFormation, and CloudWatch, while integrating Stibo Master Data Management solutions. Responsibilities include optimizing distributed data systems, ensuring security and data quality, mentoring engineers, leading technical reviews, and collaborating with enterprise application and analytics teams.

Design and lead data engineering solutions across Salesforce Multi-Cloud environments, focusing on data architecture, system integration, identity management, and Salesforce governor limits.

Designs, configures, customizes, tests, and optimizes Apttus CPQ solutions, including pricing, product configuration, cart setup, asset-based ordering, billing, approvals, workflows, and order management. Translates cross-functional requirements into CPQ implementations, troubleshoots technical issues, maintains data integrity, supports Salesforce integration, and delivers user training.