Top Tech Jobs & Startup Jobs

Provides operational support for critical applications and infrastructure, leads P1/P2 incident response, troubleshoots production issues, and ensures SLA/SLO compliance. Builds monitoring, observability, automation, and AI-powered reliability solutions; drives root cause analysis, disaster recovery, high availability, and business continuity initiatives. Participates in on-call rotations, reduces operational toil, manages remediation backlogs, and mentors junior engineers.

Provides application and data support by troubleshooting user issues, monitoring system health, conducting root cause analysis, supporting testing and releases, documenting resolutions, and coordinating incident response. The role uses SQL, data modeling, healthcare data expertise, and quality routines to validate imports and extracts. It also tracks support metrics, improves operational processes, communicates with stakeholders, and participates in on-call support while maintaining security, compliance, and audit standards.

Build and deploy enterprise agentic AI solutions, including agents, MCP tools, plugins, orchestration architectures, evaluation harnesses, and secure APIs. Integrate agents with search and collaboration platforms, instrument production behavior, manage cost and latency, and test against prompt injection and tool vulnerabilities. The role requires backend software engineering, production agent development, MCP experience, LLM evaluation, and AI coding assistant expertise, with preferred experience in managed runtimes, retrieval systems, and enterprise security.

Conduct model risk validations, governance, stress testing, back-testing, and effective challenge across the model lifecycle. Develop enterprise risk reports, dashboards, metrics, committee materials, and remediation tracking. Support ERM framework implementation, regulatory examinations, audits, risk trend analysis, issue management, and governance process improvements. Collaborate with model owners, management, and risk committees while using SQL, Python, Excel, PowerPoint, and approved AI tools to analyze data and improve workflows.

Lead development and quality engineering for React-based applications, Spring Boot and Python microservices, APIs, and cloud-native systems. Build UI, backend, and API automation using frameworks such as Selenium, Playwright, and Cypress; define quality metrics; support CI/CD and DevOps; and apply TDD, BDD, and black-box testing. Mentor quality engineers, improve automation strategies, collaborate with product and engineering teams, and contribute to AI-enabled features and reusable services.

Designs, develops, deploys, and optimizes production AI/ML systems, including generative AI, LLMs, RAG, NLP, and agentic AI. Builds scalable containerized solutions with Docker and Kubernetes, implements CI/CD pipelines, and leverages Azure and AWS services. Responsibilities include model testing, validation, performance optimization, cloud migration, data analysis, vulnerability remediation, AI governance, ethics, and responsible AI practices.

Analyzes risk and pricing for group life, disability, and supplemental health insurance products. Prepares financial models, evaluates renewals and new business proposals, develops pricing and plan design recommendations, conducts competitive and contractual analysis, and supports profitable sales growth. Serves as a subject matter expert, advises senior leaders and business partners, and mentors junior underwriters. The role also contributes to process improvement, underwriting governance, and training initiatives.

Leads quality engineering activities, including AI-enabled test automation with AccelQ, functional, API, database, integration, and regression testing. Builds reusable frameworks, integrates testing into CI/CD pipelines, validates REST APIs and data integrity, analyzes logs, tracks quality metrics, and supports release decisions. Collaborates with stakeholders and development teams on requirements, defects, and releases. Mentors junior QA staff, contributes to test strategy and risk assessment, and applies GenAI tools and prompt engineering to improve testing efficiency and coverage.

Provides senior technical leadership for investment, debt, and derivative accounting within Corporate Treasury. Responsibilities include multi-basis investment accounting, period-end close, reconciliations, GAAP and statutory reporting, NAIC compliance, asset-transfer and reinsurance transaction support, financial integration, control improvements, and automation. The role partners across Finance teams to resolve complex accounting issues and ensure accurate reporting across legal-entity, consolidated GAAP, statutory, and tax bases.

Lead development and deployment of an agentic AI/ML pipeline for identifying, prioritizing, and pricing high-cost healthcare claims. Responsibilities include model development, confidence scoring, HITL safety design, ML lifecycle management, monitoring, workflow automation, responsible AI, and enterprise-scale analytics using Databricks and Snowflake. The role also evaluates emerging AI technologies and supports regulatory-aware automation and healthcare data transformation.