Top Tech Jobs & Startup Jobs

Lead design and delivery of integration-heavy full-stack platforms: define front-end architecture, own backend/API design, optimize databases, enforce security and observability, mentor engineers, and align technical decisions with product and business goals while using AI-forward tools to accelerate delivery.

Lead mobile architecture and delivery for iOS and Android, define standards and best practices, build scalable UI systems, own security, monitoring, and CI/CD, mentor engineers, and align technical decisions with product and business goals.

Lead architecture and delivery of complex iOS and Android apps. Define mobile standards, build scalable UI systems, ensure performance, security, CI/CD, observability, and mentor engineers while collaborating with cross-functional teams to align technical decisions with product goals.

The Product Manager will own product delivery, managing the backlog and aligning work with business outcomes while facilitating collaboration with clients and teams.

The Staff Data Engineer will lead data platform initiatives, define data strategy, build scalable data pipelines, and mentor junior engineers, emphasizing performance and governance.

The Associate Full Stack Engineer develops web applications, builds UI components, maintains backend services, and integrates APIs, collaborating with senior engineers and cross-functional teams.

Lead design, implementation, testing, and maintenance of mobile and web software. Build APIs and web applications, author documentation, create prototypes, perform code reviews, collaborate with designers and QA, support releases and post-release maintenance, mentor peers, and provide technical input for project estimates and sales.

Implement, deploy, and maintain production-grade AI/ML systems and pipelines. Contribute to model training, inference services, MLOps/LLMOps workflows, monitoring, and data ingestion. Collaborate with product and engineering teams to operationalize research prototypes, debug cross-layer issues, and deliver reliable, scalable AI features.

Lead full-cycle recruiting for technical, engineering, product, design, and executive roles. Partner with hiring leaders on success profiles, build proactive pipelines, manage candidate experience, negotiate offers, improve recruiting processes and assessment rubrics, maintain recruiting data, and represent the company externally to attract specialized talent.

Lead design and delivery of production-grade AI systems: define architectures, implement scalable ML pipelines and inference, operationalize research into production, enforce MLOps/LLMOps best practices, mentor engineers, and align AI initiatives with business outcomes and security/cost constraints.