Top Tech Jobs & Startup Jobs

Own applied computer vision and machine learning model development from problem definition through production deployment. Build and optimize solutions for object detection, segmentation, classification, video analysis, forecasting, anomaly detection, regression, and clustering. Evaluate architectures using PyTorch and TensorFlow, analyze performance, and account for cameras, sensors, lighting, and edge-device constraints to ensure robust real-world results.

Design and build production-grade AI agents that analyze ServiceNow Discovery logs, metrics, failures, and infrastructure telemetry at enterprise scale. Develop agents for failure classification, root-cause analysis, corrective-action recommendations, observability, and guarded automation. Integrate OpenAI and Anthropic APIs using RAG and vector databases, convert runbooks into agentic workflows, and apply strong Python, infrastructure troubleshooting, networking, testing, and CI/CD expertise.

Author and QA AI-driven automations for healthcare workflows, execute high-volume repetitive automation tasks accurately, produce structured technical/process documentation, support application operations, and collaborate with product, engineering, and QA teams using GitHub, Slack, and JIRA. Fast ramp-up for a 3-month contract with potential extension.

Provide system administration and operational stability for on-premise and SaaS-hosted infrastructure. Manage and scale Kubernetes environments, monitoring, and observability systems using Snowflake and OpenTelemetry. Participate in on-call rotations, incident response, and root-cause analysis. Automate infrastructure tasks with Python, Bash, Go, and infrastructure-as-code tools while maintaining system health across enterprise platform environments.

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 focused on reliability, scalability, and performance.

Manage and scale enterprise on-premise and SaaS infrastructure, including Kubernetes environments. Maintain system stability, monitoring, and observability; participate in on-call rotations, incident response, and root-cause analysis. Automate infrastructure tasks with scripting and infrastructure-as-code tools, administer Linux/Unix systems, and support platform health across ESM and ECP environments.

Lead a regional DevSecOps pod delivering ASPM integrations and AI-enabled SDLC secure code scanning. Facilitate follow-the-sun handoffs, own technical escalations, perform secure code reviews, guide infrastructure architecture, and mentor engineers to maintain 24/7 delivery in regulated enterprise environments.

Senior Data Engineer to design and build Snowflake data models and semantic views for a Customer Data Platform. Clean, transform, and flatten customer, sales, and behavioral datasets; write production-grade SQL and Python for ETL/automation; collaborate with business stakeholders; document data assets; maintain git workflows and data testing protocols; support AI-readiness and downstream BI.

Design, build, and maintain scalable, secure backend services and APIs using Java 11+ and Spring Boot. Optimize PostgreSQL and MongoDB schemas and queries, implement automated unit tests with JUnit and Mockito, debug and optimize performance, participate in code reviews, and collaborate with frontend, product, and QA teams to deliver production-ready features.

Design and implement low-latency .NET backend services and RESTful APIs, build Angular user interfaces, ensure >80% test automation, use microservices and message-driven systems (Kafka), run CI/CD with GitHub Actions, monitor with Splunk, define OpenAPI contracts, and participate in Agile practices to support critical investment decision tools.