Infrastructure Engineer

Lakeview Loan Servicing•New York, NY

21h•Remote

About The Position

The Infrastructure Engineer on the Mission Control team plays a critical role in building, operating, and evolving the cloud infrastructure that supports reliable, secure, and scalable product delivery. This role is responsible for turning platform needs, application requirements, and operational constraints into well-automated infrastructure and developer workflows. Working across cloud infrastructure, DevOps, and production operations, this individual partners closely with Engineering, Product, Security, Data, and domain Subject Matter Experts (SMEs) to ensure teams can ship quickly without compromising reliability, security, or compliance. This role contributes to the development and evolution of core systems, spanning cloud environments, CI/CD, infrastructure as code, containerized workloads, observability, secrets management, networking, data infrastructure, and deployment automation within a regulated, high-stakes environment. Success requires strong systems thinking, pragmatic engineering judgment, and a bias toward automation and repeatability. The Infrastructure Engineer is expected to operate in an AI-native engineering environment, using modern coding agents, automation tools, and rapid prototyping workflows to improve delivery speed and infrastructure quality. In parallel, this individual will help create the foundation for AI-enabled product capabilities by ensuring the underlying systems are dependable, observable, secure, and easy for engineers to use.

Requirements

3-5+ years of experience building, operating, and improving production infrastructure or DevOps platforms
Strong experience with one or more major cloud platforms such as AWS, GCP, or Azure, including compute, networking, storage, IAM, and managed services
Hands-on experience with infrastructure as code, preferably Terraform or a comparable framework, and a strong understanding of reusable infrastructure modules
Experience with CI/CD systems, deployment automation, release workflows, and modern DevOps practices
Comfort working with containers and orchestration technologies such as Docker, Kubernetes, ECS, or similar platforms
Ability to write scripts or production-quality automation in Python, Go, Rust, Bash, TypeScript, or a similar language
Experience operating production systems with observability tools, alerting, incident response, runbooks, and post-incident improvement practices
Working knowledge of cloud security fundamentals, including IAM, network segmentation, secrets management, encryption, and secure configuration practices
Comfort working with data-heavy, integration-heavy, and operationally critical systems in production
Good judgment in ambiguous environments where the path is not fully defined and the team needs to go from zero to one
Clear communication skills with both technical and non-technical teammates

Nice To Haves

Experience building infrastructure, internal platforms, or developer tools for fast-moving product engineering teams
Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains
Experience supporting AI and data infrastructure, including secure access to model platforms, data pipelines, vector databases, or GPU-enabled workloads
Experience improving developer velocity, cloud cost efficiency, production reliability, or deployment safety as systems grow

Responsibilities

Design, build, and operate cloud infrastructure across major platforms such as AWS, GCP, or Azure with a focus on reliability, scalability, security, and cost discipline
Create reusable infrastructure patterns that help product teams provision, deploy, and operate services consistently
Own infrastructure changes from design and implementation through production rollout, monitoring, and iteration
Build and maintain infrastructure as code using tools such as Terraform, Pulumi, Bicep, CloudFormation, or similar frameworks
Automate repeatable operational workflows, environment provisioning, configuration management, and deployment tasks
Improve infrastructure quality through clear modules, versioning, documentation, testing, and review practices
Partner with Engineering teams to improve CI/CD pipelines, release workflows, build systems, and deployment safety
Reduce friction for developers by building self-service tools, templates, runbooks, and paved-path workflows
Balance speed and control so teams can move quickly while maintaining strong production and change-management practices
Operate production systems confidently, including deployments, incident response, troubleshooting, and post-incident follow-up
Implement and improve observability across logs, metrics, traces, alerts, dashboards, and service health indicators
Contribute to architecture and operational decisions that improve uptime, performance, resilience, and maintainability
Identify and address reliability risks before they become customer-impacting issues
Implement secure infrastructure patterns, access controls, secrets management, and least-privilege practices
Support compliance-aware engineering practices appropriate for a regulated fintech environment
Monitor infrastructure utilization and cost, identifying opportunities to improve efficiency without reducing reliability
Contribute to a culture of ownership, curiosity, pragmatism, and engineering excellence
Raise the bar through thoughtful automation, clear abstractions, strong documentation, and sound operational judgment