Top Tech Jobs & Startup Jobs

Design and implement secure, scalable identity and access management services using C#, .NET, Node.js, TypeScript, and Azure. Lead authentication, authorization, passwordless, MFA, and passkey initiatives; integrate OAuth 2.0, OpenID Connect, and SAML; secure healthcare access workflows; and use GenAI tools to accelerate development. Collaborate cross-functionally, review code, resolve complex IAM issues, document solutions, and mentor engineers.

Own full-stack engineering initiatives spanning frontend, backend, REST APIs, automated testing, CI/CD, performance, scalability, and production debugging. Build features for underwriters and internal customers using JavaScript, Node.js, and Python. Explore LLM-powered underwriting workflows, collaborate cross-functionally, shape technical direction, and mentor less experienced engineers.

Provides technical leadership for production software systems, including architecture, engineering standards, delivery governance, production support, incident response, and operational metrics. Leads Agile planning, release readiness, risk tracking, and stakeholder communication while balancing feature delivery, technical debt, and platform improvements. Coaches engineers, drives accountability, and applies modern technologies across .NET, Python, Azure, microservices, CI/CD, infrastructure as code, and AI-enabled development workflows.

Build and scale the Spark web platform using React, TypeScript, Node.js, PostgreSQL, and Azure AKS microservices. Responsibilities include frontend and backend development, API and third-party integrations, architecture contributions, deployment decisions, authentication, testing, documentation, and AI-assisted development. The role requires autonomous ownership, strong communication, and collaboration within a small remote team.

Design, deploy, and operate production Kubernetes clusters; build Python automation; integrate Prometheus monitoring and Ceph storage; migrate services to cloud-native patterns on AWS/Azure; troubleshoot distributed systems; document runbooks; collaborate across teams and participate in on-call incident response.

Designs, builds, and supports scalable data pipelines, distributed processing systems, data models, frameworks, and governance solutions. Uses SQL, Python, Spark, Databricks, and Azure services to enable analytics and machine learning. Leads technical design reviews, improves CI/CD and DataOps practices, troubleshoots major incidents, collaborates on data strategy, and mentors engineers.

Designs and operates reliable AWS infrastructure, Kubernetes clusters, CI/CD pipelines, Helm charts, Terraform environments, and Istio service mesh capabilities. The role focuses on automation, secure networking, scalability, developer self-service, deployment efficiency, and incident support while partnering with engineering teams. Candidates need 5+ years of platform, DevOps, or SRE experience and strong expertise in AWS, Kubernetes, ArgoCD, GitHub Actions, Helm, Terraform, Istio, and Python or Bash scripting.

Lead the design and operation of resilient CI/CD pipelines and infrastructure for .NET Core REST APIs and legacy WCF/SOAP services. Responsibilities include containerization, Kubernetes orchestration, blue-green deployments, automated rollbacks, security scanning, monitoring, certificate lifecycle management, load balancing, failover, and secure OAuth/MFA integrations across Azure and on-premises environments.

Designs, operates, and secures CI/CD pipelines and hybrid infrastructure for .NET Core REST APIs and legacy WCF/SOAP services. Responsibilities include automated testing and deployments, blue-green releases, rollback, containerization, monitoring, logging, certificate and secrets management, load balancing, failover, and IIS/Windows Server administration. The role also establishes deployment standards, incident response procedures, and runbooks across Azure and on-premises environments.

Own the technical direction and architecture of the company’s data platform across Snowflake, dbt, Airflow, Terraform, Python, and SQL. Establish standards for data quality, testing, observability, governance, and deployment; design semantic layers supporting underwriting, finance, and executive analytics; and enable ML and AI initiatives. The role mentors engineers, leads design reviews, drives cross-functional technical alignment, and guides ambiguous platform initiatives through production.