Top Tech Jobs & Startup Jobs

Design, develop, test, version, and monitor scalable APIs and integration platforms. Build data models, implement CI/CD pipelines, maintain applications, improve documentation, raise code quality, and share best practices.

Design, provision, and maintain multi-cloud infrastructure using Terraform and IaC. Build and operate CI/CD pipelines, troubleshoot deployments, enforce security and governance, optimize cost and performance, and collaborate with architects, security, and application teams to support cloud platform operations and automation.

The Data Scientist will develop and implement GenAI solutions, focusing on NLP and AI technologies. Responsibilities include working on LLM projects and collaborating with teams to integrate AI solutions into cloud environments.

Designs, implements, and supports local and wide-area network solutions across multiple platforms and protocols. Responsibilities include network troubleshooting, routing, switching, firewall and security architecture, vendor coordination, project planning, cost analysis, proof-of-concept development, and implementation support through go-live and maintenance. The role requires expertise in core networking technologies, complex network environments, SDN, data centers, and customer-focused technical solution delivery.

Develop and lead Generative AI, LLM, and machine learning solutions for enterprise clients. Responsibilities include translating business needs into data problems, building and evaluating statistical models, creating cloud-based POCs and POVs, presenting solutions to customers, deploying models, and applying MLOps, data engineering, DevOps, and governance practices. The role requires strong expertise in NLP, LLMs, RAG, fine-tuning, AI architecture, optimization, and multiple cloud platforms.

Deploys production AI solutions directly with customers, from scoping and rapid prototyping through deployment, optimization, and adoption. Builds agentic and generative AI systems, including multi-agent architectures and RAG solutions, using Python and cloud platforms. Translates business needs into technical outcomes, troubleshoots scalable systems, documents field learnings, and contributes code and feedback to internal AI platforms. Requires strong customer engagement, software engineering, cloud, distributed systems, and AI/ML expertise.

Leads end-to-end proposal development for government RFPs, business cases, and technical documentation. Translates complex IT and cyber resilience solutions into compelling business value, coordinates cross-functional contributors, ensures compliance with procurement standards, and performs hands-on writing and peer review. Supports government sales cycles, improves proposal processes, and contributes to go-to-market strategy, solution design, project planning, and stakeholder engagement.

Designs, implements, maintains, and supports complex Nutanix virtual enterprise environments with more than 1,000 virtual machines across multiple data centers. Responsibilities include disaster recovery replication, performance and capacity optimization, server configuration, documentation, monitoring, KPI development, risk mitigation, and capacity planning. The engineer collaborates with operations and database teams, follows ITIL practices, and stays current with virtualization technologies. The role is hybrid, requiring two days weekly onsite near Utrecht, Soesterberg, or Amersfoort.

Lead IBM z/OS system programming across installation, configuration, maintenance, upgrades, subsystem administration, performance optimization, incident response, disaster recovery, and modernization. Manage SMP/E, PTFs, APARs, SYSRES builds, migrations, and security/network infrastructure. Provide technical leadership, documentation, mentoring, vendor coordination, and 24/7 on-call support for complex mainframe environments.

Develop and modernize enterprise-scale full-stack applications using Java, Spring Boot, React, REST APIs, microservices, containers, Kubernetes, OpenShift, and Azure. Translate client requirements into scalable, secure cloud-native solutions; lead modernization initiatives, code reviews, technical discussions, and solution design. Collaborate across architecture, infrastructure, security, and delivery teams while mentoring junior developers and contributing to reusable modernization offerings, delivery standards, and technical communities.