Top Tech Jobs & Startup Jobs

Designs and operates production machine learning systems for predictive customer lifetime value. Responsibilities include feature engineering, gradient-boosted and probabilistic modeling, calibration, identity resolution, model monitoring, drift detection, data pipelines, cloud-based ML workflows, API integrations, and software engineering practices such as testing, CI/CD, and deployment safeguards.

Conduct technical interviews for Power Platform specialists, assessing practical expertise in Power Apps, Power Automate, SharePoint Lists, Microsoft 365 integrations, security, and governance. Evaluate problem-solving, solution design, and business-requirement analysis skills. Provide structured candidate feedback, collaborate with recruiters on interview criteria, and refine technical assessments. The role also involves troubleshooting and maintaining Power Platform solutions, with interviewing or mentoring experience and Power BI knowledge preferred.

Designs and secures resilient AWS cloud infrastructure, assesses security controls, monitors logs and threats, performs vulnerability assessments, develops security policies and reports, implements disaster recovery procedures, protects sensitive data, and supports network and security issues. Requires extensive DevOps and cloud security experience, AWS expertise, Infrastructure as Code knowledge, autonomy, teamwork, and CET timezone availability.

Collect and verify parking data across designated Detroit areas using a smartphone and mobile application. Work independently outdoors, walking considerable distances and traveling between assigned locations. Complete surveys within specified time windows, follow detailed instructions, manage schedules, meet deadlines, and communicate with the project team. The engagement is part-time, flexible, and long-term, with payment based on successfully surveyed areas. Transportation and fuel expenses are not reimbursed.

Collect and verify parking data across designated areas in Detroit using a smartphone and mobile application. The role requires outdoor work, walking considerable distances, traveling between locations, following detailed instructions, managing an independent schedule, meeting deadlines, and maintaining team communication. Applicants need a GPS-enabled smartphone with mobile internet; having a car is helpful but not required. Fuel and public transportation expenses are not reimbursed.

Rebuild native iOS and Android applications as a scalable Flutter solution. Integrate REST APIs, optimize data handling, implement BLoC and Provider state management, write comprehensive tests, support CI/CD and build automation, and contribute to application releases and maintenance. Collaborate in Agile teams, support onboarding, and contribute to AI-related initiatives.

Build and integrate high-volume backend services for a large-scale payments issuer processor migration. Responsibilities include developing Go services, integrating client and vendor platforms, working with APIs, Kafka, event-driven architectures, distributed systems, and microservices. The role supports migration testing, troubleshooting, cloud-native engineering, and reliability of high-availability business-critical systems while collaborating with client, vendor, and engineering teams.

Assess the existing data landscape, identify risks and dependencies, and define a scalable target-state data architecture supporting business expansion. Design data platforms, warehouses, governance, quality standards, models, and REST API integrations across cloud, on-premises, and hybrid environments. Collaborate with technical and business stakeholders and support implementation and testing activities throughout the three-month project.

Develop and maintain JavaScript and TypeScript integrations with third-party APIs. Troubleshoot authentication, data transformation, errors, and execution issues while working with AWS Lambda, S3, and access permissions. Write maintainable code, validate behavior, use AI coding tools critically, and collaborate through implementation decisions and code reviews.

Design, develop, and operate secure, high-throughput identity services covering SSO, MFA, federation, authorization, token management, and session management. Build performant Go and gRPC backend systems, deploy identity infrastructure using AWS, Kubernetes, and Terraform, and lead security reviews, threat modeling, integrations, incident response, mentoring, and technical roadmap planning.