Top Tech Jobs & Startup Jobs

Author and QA AI-driven automations for healthcare workflows, execute high-volume repetitive automation tasks accurately, create and maintain technical/process documentation, support core application improvements, and collaborate across product, engineering, and QA using GitHub, Slack, and JIRA. 3-month contract with fast ramp-up.

Design and build production-grade agentic AI systems 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 Discovery pattern or probe updates. Integrate OpenAI and Anthropic APIs using RAG and vector databases, convert runbooks into reusable workflows, and deliver solutions with Python, REST APIs, CI/CD, testing, and infrastructure troubleshooting.

Design and build agentic AI systems that analyze ServiceNow Discovery logs, metrics, failures, and infrastructure telemetry at enterprise scale. Develop agents for failure classification, root-cause analysis, corrective-action recommendations, Discovery health monitoring, and runbook automation with testing, guardrails, and human approval. Integrate OpenAI and Anthropic APIs using RAG and vector databases, while applying advanced Python, REST API, CI/CD, infrastructure troubleshooting, and network-protocol expertise.

Build low-latency .NET backend services and RESTful APIs, develop Angular UIs, work with microservices and message-driven systems (Kafka), maintain high test automation (>80%), use CI/CD (GitHub Actions) and Splunk for observability, define OpenAPI contracts, and collaborate in Agile teams supporting financial investment tools.

Own the end-to-end release lifecycle for a Frontline product portfolio, coordinating Engineering, Product, QA, DevOps, and customer-facing teams. Responsibilities include release planning, deployments, hotfixes, governance, branching and versioning strategies, risk and dependency management, CI/CD improvements, documentation, rollback procedures, and release metrics. The role requires enterprise SaaS or cloud-native release management experience and strong stakeholder communication.

Design, build, and maintain backend services, microservices, and automation workflows using Java or Python. Integrate with Salesforce APIs (EVO, Omnichannel), implement REST APIs and webhooks for lead routing and CRM automation, support AI-assisted SDR automation, and work in agile sprints with JIRA.

Design, build, and scale backend services in C#/.NET and responsive frontends in React/TypeScript. Define APIs, ensure high-availability databases, optimize performance and security, integrate REST/GraphQL, maintain tests, mentor junior engineers, collaborate with designers and product owners, and use AI-assisted developer tools.

Design and build agentic AI systems that analyze ServiceNow Discovery logs, failures, telemetry, and infrastructure health at enterprise scale. Develop agents for failure classification, root cause analysis, corrective-action recommendations, and controlled Discovery pattern updates. Convert runbooks into reusable workflows, integrate LLM APIs with RAG and vector databases, and build production-grade Python services, APIs, integrations, testing, and CI/CD automation.

Build and maintain reliable Kubernetes-based microservices platforms with a strong observability focus. Configure Datadog dashboards, alerts, APM, metrics, logging, and tracing; integrate monitoring with AWS and CI/CD pipelines; install agents and integrations; manage secure access controls; and automate operational tasks using Python. Lead platform maintenance and improvements focused on reliability, scalability, and performance.

Design and build AI agents that analyze ServiceNow Discovery logs, classify failures, identify root causes, recommend corrections to probes and patterns, and monitor MID Server health, throughput, latency, and coverage. Convert troubleshooting procedures into automated workflows with testing, guardrails, and human approval. Integrate observability data from ServiceNow, MID Servers, logs, and monitoring platforms to improve Discovery reliability at enterprise scale.