Top Tech Jobs & Startup Jobs

Own machine learning models from handoff through production, including packaging, deployment, serving, monitoring, drift detection, alerting, and incident response. Review model design and evaluation quality, identify leakage and temporal validation issues, and improve the shared ML platform. Establish engineering standards, ensure feature-store parity, and mentor or review colleagues while operating production AWS infrastructure.

Own machine learning models from handoff through production, including packaging, deployment, inference, monitoring, drift detection, alerting, and incident response. Review model design and evaluation methodology, identify leakage and pipeline issues, and extend a shared ML platform. Establish engineering standards across AWS infrastructure, SageMaker, feature stores, CI/CD, and Terraform while mentoring and reviewing colleagues’ work.

Build and customize Salesforce Service Cloud and Sales Cloud solutions using Apex, LWC, Aura, and Visualforce. Design two-way REST API and Platform Event integrations with core backend systems, model transaction data, manage configuration versus custom development, reduce technical debt, and ensure platform reliability through monitoring and release practices. Collaborate in agile sprints, contribute to architecture decisions, and support secure, maintainable deployments.

Build and customize Salesforce Service Cloud and Sales Cloud solutions for dealer and buyer processes. Develop Apex, Lightning Web Components, Aura, and Visualforce; design Salesforce integrations with backend systems using REST APIs, Platform Events, and event-driven flows. Own data modeling, platform configuration, technical debt reduction, monitoring, release management, deployments, and architecture decisions within agile sprints. Collaborate with business stakeholders, mentor developers, and use AI tools in daily development.

Own and enhance the two-way synchronization service between Salesforce and the core platform. Build custom Salesforce features, migrate Aura and Visualforce code to modern solutions, improve performance, maintain data integrity, reduce technical debt, evaluate Salesforce releases, document systems, and mentor team members while collaborating with a distributed engineering team.

Own backend architecture and development end-to-end: choose technologies, design scalable systems, implement features, embed AI/LLMs and AI-assisted workflows, set code quality and CI/CD standards, mentor engineers, and drive process improvements in a hybrid Berlin-based team.

Own backend development end-to-end: choose technology, design architecture, implement scalable features, and enforce code quality and CI/CD standards. Build AI-first solutions (LLMs/agents), mentor engineers, and improve backend practices for high-scale vehicle trading across Europe.

Own backend architecture and development end-to-end for a high-scale auction platform: select technologies, implement features, build AI-first systems (LLMs/agents), define CI/CD and code-quality standards, mentor engineers, and collaborate cross-functionally.