CLEAR - Corporate
Engineering Manager, Infrastructure
New York, NY, United States · Senior
Sponsorship not specified$275k-$350kDetected 29 days ago
PythonJavaDistributed SystemsAWSCloud PlatformsKubernetesTerraformCI/CDPlatform EngineeringIncident ResponseStakeholder ManagementPerformance ManagementLeadershipCommunicationCollaborationMentoring
About the role
- A successful candidate brings strong experience in cloud infrastructure, distributed systems, and operational excellence, along with a solid foundation in software engineering.
- Located in New York City, our Headquarters offers close collaboration with and access to a hands-on senior leadership team, a bright and energetic space with an open concept, and plenty of conference rooms and casual co-working spaces.
Responsibilities
- Hire, develop, and grow engineering talent through coaching, mentorship, performance management, and career development planning
- Own and execute the roadmap for cloud infrastructure and platform engineering, and reliability initiatives
- Design, build, and operate a scalable, secure, and highly available cloud platform infrastructure
- Drive automation across infrastructure provisioning, deployment, and operations to improve efficiency and reduce manual overhead
- Partner with engineering teams to improve deployment pipelines, service operability, and production readiness
- Own operational excellence through metrics, SLAs/SLOs, and continuous improvement of system performance, reliability, and cost
- Ability to collaborate cross-functionally and influence teams to adopt infrastructure and operational best practices
Requirements
- 3+ years of experience managing and developing software engineers, with strong coaching and team leadership skills
- Strong experience with CI/CD systems, infrastructure automation, and release engineering
- Deep knowledge of cloud platforms (e.g., AWS) and distributed systems architecture
- Hands-on experience with Infrastructure as Code (e.g., Terraform, Pulumi)
- Strong expertise in Kubernetes and container orchestration at scale
- Experience designing for high availability, fault tolerance, and operational resilience
- Proficiency in at least one modern programming language (e.g., Python, and or Java) and solid software engineering fundamentals
- Experience with observability tooling (monitoring, logging, tracing) and incident management practices
Skills
- Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.
Compensation
- This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR.
Benefits
- Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs.
- This range represents the combined base salary, annual bonus incentive, and new hire equity package (in Restricted Stock Units) for this position at CLEAR.
- Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program.
- All stock based compensation will be subject to the terms and conditions of applicable agreements.
- Curious, proactive, and committed to continuous learning and improvement
- Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance.
Company info
- At CLEAR, we help YOU move forward - because when you're at your best, we're at our best.
- You'll work with talented team members motivated by our mission of making experiences safer and easier.
- We are committed to a transparent and secure hiring process.
Equal opportunity
- CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs.
- Please let us know if you require a reasonable accommodation to apply for a job or perform your job.
- Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the
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This listing is sourced directly from CLEAR - Corporate's careers page and normalized into a canonical job model.