> Markdown version of [/jobs/ext/4585232-staff-software-engineer-infrastructure](https://www.wearedevelopers.com/jobs/ext/4585232-staff-software-engineer-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Infrastructure - **Company:** Secure Identity, LLC. - **Location:** New York, NY, United States - **Salary:** $215,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Programming Tools, Identity and Access Management, Python (Programming Language), Network Security, Routing, Software Engineering, Datadog, Pulumi, Load Balancing, Cloud Platform System, Istio, System Availability, Amazon Virtual Private Cloud (VPC), Cloudformation, Containerization, Kubernetes, Cloudflare, Build Tools, Route53, Terraform - **Published:** November 5, 2026 - **Apply:** https://job-boards.greenhouse.io/clear/jobs/8352455 ## About the Role * Cloud architecture at scale: deep AWS expertise (VPC design, routing, Security Groups, load balancing, Route53, IAM) and designing multi-account, multi-environment platforms; experience with edge and network security tooling (e.g., Cloudflare, Palo Alto) is a plus * Software engineering: designing and building production software systems such as services, APIs, and internal developer tools in Python, Java or similar, with strong fundamentals in system design, testing, and maintainable code. You build systems, not just configure them. * Kubernetes and container platforms: running and evolving production EKS clusters, including cluster networking, ingress, service mesh (e.g., Istio), and cluster lifecycle management * Infrastructure as Code and software engineering: writing production-grade software in Python or another modern language, and building reusable, well-tested Pulumi (or Terraform/CloudFormation) modules * Reliability and observability: designing for failure, safe rollouts, leading incident response, and instrumenting systems with tools like Datadog * Technical leadership beyond your team: driving consensus across teams through RFCs and design reviews, communicating clear trade-offs, and mentoring other engineers ## Description As an Staff Software Engineer on Cloud Infrastructure, you'll set the technical direction for the cloud platform that underpins every system at CLEAR, from AWS networking and Kubernetes to staging environments and infrastructure for AI workloads. You'll design durable, cross-team patterns and standards that make it faster and safer for every engineer at CLEAR to build, ship, and operate reliable software., * Drive the technical direction and long-term architecture of CLEAR's cloud platform across AWS, Kubernetes (EKS), networking, and Infrastructure as Code, balancing reliability, security, cost, and simplicity * Lead cross-functional initiatives end to end, including production-like staging environments and infrastructure for AI workloads, from RFC and design through rollout and adoption * Define and evolve infrastructure engineering standards (IaC patterns, safe rollout and rollback, observability, network and security baselines) that teams across engineering adopt * Act as a product owner for the platform: gather feedback from engineering teams, find the systemic pain points, and build self-service capabilities that remove toil * Raise the engineering bar by mentoring engineers, leading design and incident reviews, and turning lessons learned into lasting system improvements How You'll Measure Success: * Platform reliability: availability and SLO attainment of core infrastructure services, and fewer infrastructure-caused incidents * Developer velocity: lead time for engineers or agents to provision environments and infrastructure, and adoption of staging and self-service tooling * Operational efficiency: reduction in toil and manual operations, and improved cloud cost efficiency * Standards adoption: share of services and infrastructure aligned with Cloud Infrastructure standards and patterns