Top Tech Jobs & Startup Jobs

Develop and extend an internal developer portal and dashboard: maintain and enhance a custom Java backend, plan and possibly rewrite the frontend in TypeScript, integrate with Snowflake and relational/non-relational databases, design RESTful APIs, ensure code quality with tests and profiling, and collaborate with cross-functional teams.

Author and QA AI-driven automations for defined healthcare workflows; execute high-volume repetitive automation tasks accurately; maintain structured technical and process documentation; provide platform support; collaborate with product, engineering, and QA teams using GitHub, Slack, and JIRA; contribute to continuous improvements of core applications and developer tooling.

Validate and maintain mandatory product data across core systems, upload data into PIM platforms, resolve data gaps, support business users, communicate data requirements, track product launches, and maintain inRiver syndication templates.

Supports reliability and modernization of Kubernetes-based microservices platforms. Builds Datadog observability solutions including dashboards, alerts, APM, metrics, logs, and traces; integrates monitoring with AWS and CI/CD pipelines; automates operational tasks using Python; manages agents, integrations, API keys, and access controls; and leads maintenance and platform improvements focused on scalability and performance.

Own product information quality and movement from business teams to market. Validate, enrich, upload, and syndicate product data through PIM systems and inRiver across retailer and marketplace channels. Resolve data gaps with stakeholders, communicate requirements, track launch status, and maintain syndication templates to ensure accurate, channel-ready product information.

Maintain and optimize native iOS (Swift) and Android (Kotlin) voice and messaging apps, implement/optimize RTC (WebRTC, SIP, VoIP), build React Native PoCs, solve voice/latency/socket reliability issues, conduct code reviews, and collaborate with stakeholders in an Agile workflow.

Develop and enhance enterprise Salesforce Service Cloud solutions, including Omni-Channel routing, capacity, and presence management. Build scalable Apex and Lightning applications using LWC, while maintaining Aura and Visualforce components. Integrate Salesforce with telephony, CTI, SaaS, and AppExchange systems through REST, Bulk, and Metadata APIs. Manage custom objects, Git-based CI/CD, deployments, and migrations in a remote, enterprise-scale environment.

Supports AI/ML workflows involving large-scale image and video datasets. Responsibilities include curating datasets, managing annotation workflows, running model training and evaluation jobs, documenting results, maintaining benchmarks, tracking model performance, and analyzing failure cases with senior engineers. The role requires foundational Python, machine learning, computer vision, and cloud knowledge, with opportunities to grow into applied modeling or MLOps.

Support reliability and modernization of Kubernetes-based microservices platforms. Build Datadog observability solutions including dashboards, alerts, APM, metrics, logging, and tracing; integrate monitoring with AWS and CI/CD pipelines; automate operational tasks using Python; manage agents, integrations, API keys, and access controls; and lead platform maintenance and improvements focused on reliability, scalability, and performance.

Design and build low-latency .NET backend services and RESTful APIs, create Angular user interfaces, implement microservices and message-driven systems (Kafka/RabbitMQ), maintain >80% test coverage, run CI/CD with GitHub Actions, use Splunk for observability, define OpenAPI contracts, and participate in Agile/Scrum processes and peer code reviews for a large-scale financial platform.