Top Tech Jobs & Startup Jobs

Design, develop, and maintain scalable full-stack applications using the MEAN stack. Provide architectural guidance, conduct code reviews, mentor engineers, and lead modernization, refactoring, and performance initiatives. Develop RESTful APIs, support MongoDB and SQL Server database modernization, and collaborate on Power BI and Microsoft Fabric analytics solutions. Ensure software quality, security, and HIPAA/PHI compliance while evaluating technologies and supporting proof-of-concept implementations.

Design, build, and operate a multi-tenant User Management API covering identity lifecycle, RBAC, authentication, authorization, audit tooling, and tenant isolation. Integrate Okta and Microsoft Entra ID, manage secrets with Azure services, maintain REST and gRPC contracts, and develop comprehensive authentication and security tests. Collaborate with frontend and product teams, support SDK consumers, and participate in on-call incident response.

Own AWS infrastructure, infrastructure-as-code, CI/CD pipelines, security, observability, release management, rollback strategies, documentation, and cost visibility for containerized and serverless services. Build and operate production environments for .NET and React applications using AWS services, Docker, Terraform or CloudFormation/CDK, and automated testing and security scanning. Partner with clients in English and support secure, highly available e-commerce services.

Design, develop, test, deploy, and maintain scalable full-stack web applications using JavaScript, TypeScript, React, and Node.js. Build secure APIs and third-party integrations, deploy and monitor solutions on Microsoft Azure, maintain CI/CD pipelines, and collaborate with project managers, engineers, business analysts, clients, and stakeholders. The role includes writing tested code, participating in reviews, managing features end-to-end, and contributing to modern software solutions in a consulting environment.

Build secure production services on Google Cloud from prototypes, develop Python APIs and data pipelines, integrate business systems with canonical data layers, automate reporting, and own deployment, monitoring, security, documentation, and stakeholder communication. The role requires strong cloud, data engineering, full-stack, and service ownership skills, with emphasis on autonomous delivery and secure software practices.

Design and maintain scalable Python backend services and REST APIs for a cybersecurity data platform. Process large datasets using cloud-native, event-driven, and distributed architectures across Azure or AWS. Work with PostgreSQL, Databricks, Docker, CI/CD, Infrastructure as Code, automated testing, and data pipelines. Contribute to system design, code reviews, technical improvements, mentoring, and AI-assisted development.

Design and deliver production-ready Generative AI architectures, including LLM, RAG, agentic, automation, and vector-search solutions. Translate client business needs into scalable cloud architectures, proposals, diagrams, and implementation plans. Lead workshops, technical presentations, and AI pre-sales activities while guiding engineering teams through delivery. Apply AI governance, security, responsible AI, deployment, monitoring, and lifecycle-management best practices.

Conduct manual software testing across web applications and APIs, including requirements analysis, test planning, test case execution, test data management, browser and cross-platform testing, defect investigation, log analysis, and validation of fixes. Maintain test documentation, traceability, and coverage while collaborating with distributed Agile development teams. Contribute to improving QA processes, tools, and testing strategies.

Administer and maintain large-scale VMware virtualization and NetApp storage platforms for government and regulated-market customers. Responsibilities include troubleshooting, capacity and lifecycle management, patching, backup and recovery verification, incident and change handling, infrastructure projects, documentation, and standby support. The engineer will collaborate remotely with Dutch client teams, lead complex technical work independently, and contribute to knowledge sharing.

Designs and delivers cloud, hybrid, and on-premises data architectures using Snowflake and Databricks. Responsibilities include lakehouse and warehouse design, data modeling, pipelines, governance, security, performance optimization, and enablement for analytics, ML, and GenAI. Acts as a technical authority, leads client workshops and presales activities, develops proofs of concept, presents recommendations to stakeholders, and evaluates emerging data technologies.