Top Engineering Jobs

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Build Tailscale’s internal AI-enablement tools, workflows, guardrails, and documentation. Partner with engineering leadership and teams to define the AI roadmap, evaluate coding agents and models, improve adoption, and measure effects on velocity and quality. The role involves developing internal developer-facing automation, teaching and influencing engineers, identifying high-leverage AI opportunities, and promoting safe use of AI-generated code in a distributed engineering organization.

Manage and optimize on-premises and cloud network infrastructure (routers, switches, firewalls, SD-WAN, VPNs). Troubleshoot connectivity and performance, support hybrid cloud networking (Azure/AWS/GCP), implement secure configurations and segmentation, maintain documentation and diagrams, participate in change management, and support automation/IaC initiatives to improve reliability and operations.

Builds and optimizes AWS infrastructure, CI/CD pipelines, and automated deployments for mission-critical applications. Troubleshoots Linux, Windows, IIS, application, and server issues; monitors production systems; resolves incidents; leads migrations; and performs root-cause analysis. The role also mentors junior engineers and improves automation, reliability, stability, and operational performance.

Build interactive prototypes and run rapid user experiments across the full stack, including frontend, backend, and APIs. Shape product direction through hypothesis-driven development, user curiosity, fast iteration, and evidence-based decisions. The role requires broad engineering skills, comfort with ambiguity, and effective use of AI-assisted development tools such as Copilot, Cursor, or Claude.

Leads the design, development, and operation of scalable enterprise software using C#, .NET, APIs, microservices, cloud-native architecture, and Angular. Owns technical design, architecture reviews, testing strategies, CI/CD, security, observability, and performance. Collaborates with product, architecture, UX, security, and operations teams while mentoring engineers and driving engineering excellence. The role modernizes applications, builds customer-facing platforms, and leverages AI-assisted development tools.

Build, maintain, and improve Weave’s cloud infrastructure for reliability, scalability, and performance. Responsibilities include automating infrastructure operations, designing highly available systems, managing Kubernetes and cloud services, developing monitoring and alerting tools, resolving production issues, and participating in a weekly on-call rotation. The role also involves Infrastructure as Code, GitOps, CI/CD, and collaboration with product engineering teams.

Develop and govern enterprise solutions using Microsoft Power Platform, SharePoint Online, Microsoft Purview, and Copilot. Responsibilities include requirements gathering, architecture, application and workflow development, testing, deployment, documentation, migration support, code reviews, and solution lifecycle management. The developer will create custom apps, automations, integrations, and Copilot extensions; support ALM across environments; collaborate with FDIC leadership and users; and mentor junior developers. Occasional nights and weekend migration work may be required with compensatory scheduling.

Leads full-stack engineering for a scalable credit investment technology platform. Develops AI-powered underwriting and portfolio management solutions, user-facing applications, backend systems, integrations, reporting tools, and workflow automation. Partners with investment, middle-office, and back-office stakeholders to gather requirements and deliver enhancements. Responsibilities include architecture, coding, testing, deployment, troubleshooting, production support, and secure software development.

Leads software application architecture across a business domain, including solution design, development, maintenance, testing, code reviews, requirements analysis, and adherence to enterprise architecture standards. Collaborates with business stakeholders, evaluates software packages, creates architecture artifacts, supports customer and sales initiatives, and advances AI-enabled development, security vulnerability roadmaps, and rapid deployment practices.