Top Tech Jobs & Startup Jobs

Manage creative production from scope through delivery, including scheduling shoots, booking crews, budgeting, vendor coordination, stakeholder management, and on-set logistics. Handle post-production editing, color correction, sound mixing, stabilization, retiming, finishing, file organization, version control, and multi-platform asset delivery while resolving issues and maintaining quality.

Build and maintain production Java and Spring Boot microservices for correctness-critical financial billing systems. Design event-driven workflows, transactional consistency, migrations, integrations, testing, CI/CD pipelines, observability, and deployment safeguards across distributed services and multiple datastores. The role requires GraphQL, messaging, JPA, MySQL or Aurora, Datadog, and production microservices experience, with billing or payments experience preferred.

Design, build, and maintain scalable cloud data pipelines, datasets, ingestion frameworks, and automation for cloud cost visibility and usage insights. The role uses AWS, Snowflake, SQL, Python, orchestration tools, Terraform, and CI/CD while ensuring data quality, auditability, reliability, and performance. Responsibilities include query and cost optimization, REST API integrations, production troubleshooting, and collaboration with Product, Engineering, and Finance stakeholders. This is a remote LATAM contract requiring a U.S. EST or CST work schedule through March 2027.

Build and maintain Java backend services, data-processing capabilities, integrations, and platform components. Diagnose API and integration failures, support Salesforce Service Cloud workflows, monitor service health, triage alerts, troubleshoot production incidents, and participate in developer support rotations. Collaborate with technical and operational stakeholders, document findings, maintain sprint updates, and follow engineering and DevOps processes.

Build and maintain backend Java services, data-processing capabilities, integration-layer services, and platform components. Troubleshoot API, middleware, and Salesforce Service Cloud integration failures; monitor service health; triage alerts; support production incidents; document findings; and collaborate with technical and operational stakeholders using established engineering and DevOps processes.

Build and improve an AI-powered recruiting platform for staffing organizations. Develop production LLM capabilities, improve agent behavior through prompting and evaluation, and deliver integrations with Salesforce, applicant tracking systems, backend services, APIs, and frontend applications. Lead technical design across systems and teams, coordinate delivery, prototype solutions with users, communicate tradeoffs, and maintain reliable production integrations through testing, monitoring, and continuous improvement.

Architect and build production full-stack applications supporting data-driven workflows, automation, integrations, and reliable data movement. Develop APIs, microservices, frontend experiences with React and TypeScript, workflow orchestration, and system synchronization. Establish architecture and coding standards, lead code reviews, mentor peers, and troubleshoot reliability and performance issues across applications, services, integrations, and datastores.

Backend software engineer responsible for designing, building, testing, deploying, and operating scalable cloud-native services. The role focuses on Java/Kotlin development, Spring Boot, AWS, MongoDB Atlas, Aurora MySQL, and GraphQL with Netflix DGS. Responsibilities include architecture, compliance, cost efficiency, observability, operational tooling, experimentation, code reviews, documentation, and cross-functional collaboration.

Owns end-to-end product design for authentication, account-management, and account-security experiences across web and mobile. Responsibilities include problem framing, flow mapping, prototyping, usability validation, responsive interface design, edge-case handling, engineering specifications, design-system extension, and implementation quality assurance. Partners closely with product and engineering teams to ship complex, multi-path experiences involving verification, session states, routing, and recovery flows.

Build and maintain secure, scalable data pipelines, warehouse models, datamarts, semantic layers, and governed analytical datasets for HR insights and AI-enabled data experiences. Develop integrations, data-quality testing, orchestration, documentation, and platform reliability processes using Snowflake, dbt, Python, Airflow, AWS, and BigQuery. Support secure access to sensitive data and maintain production pipeline uptime.