Sr Cloud Infrastructure Engineer

LendingClub•San Francisco, CA

1d•$175,000 - $207,000•Hybrid

About The Position

The Sr Cloud Infrastructure Engineer owns the design, delivery, and operation of secure, reliable cloud infrastructure supporting Happen Bank's applications and technology platforms. You will balance strategic platform modernization with hands-on production support, improving how we manage AWS, Kubernetes, networking, observability, delivery pipelines, resiliency, and infrastructure security at scale. This role is central to advancing the Cloud Infrastructure roadmap while reducing operational toil and strengthening our security and compliance posture.

Requirements

4+ years of experience designing, building, and operating production cloud infrastructure, with deep hands-on expertise in AWS; bachelor's degree or higher, or equivalent combination of education and work experience
Extensive experience owning complex, multi-account AWS environments and are comfortable moving between platform engineering, architecture, production operations, and hands-on troubleshooting
Deep knowledge of AWS networking, identity, security, compute, storage, databases, organizations, and governance, and understand how these services work together in large-scale production environments
Designed and operated infrastructure using Terraform or comparable infrastructure-as-code tools and have improved reusable modules, deployment standards, testing practices, and drift controls
Meaningful production experience with Kubernetes or EKS, including cluster lifecycle management, upgrades, workload delivery, container security, observability, and runtime controls
Trusted technical escalation point who can diagnose complex infrastructure issues across networking, DNS, IAM, Kubernetes, CI/CD, security controls, and application delivery
Strong track record of owning production changes from design through implementation, validation, documentation, incident support, and long-term operational maintenance
Balance strong technical opinions with sound judgment, humility, and openness to feedback, and can explain infrastructure decisions and tradeoffs to both technical and non-technical partners
Hands-on experience using AI tools to accelerate infrastructure work, improve output quality, and reduce operational toil, and help colleagues apply them responsibly while maintaining appropriate security, validation, and human oversight

Nice To Haves

Experience supporting infrastructure in a regulated financial-services environment
Experience with PCI DSS, CIS controls, security audits, evidence collection, or remediation programs
Experience migrating workloads or connectivity from data centers to AWS
Experience with managed file transfer, SFTP, secure partner integrations, or high-volume data-processing platforms
Experience with GitHub Actions, Jenkins, Argo CD, JFrog Artifactory, Splunk, Grafana, Prometheus, Tempo, Wiz, or CrowdStrike
Proficiency with Python, Bash, or another language used to automate infrastructure and operational workflows
AWS certification or equivalent demonstrated cloud expertise

Responsibilities

Design, build, and evolve multi-account AWS infrastructure using automation and infrastructure as code, with a focus on security, reliability, scalability, and maintainability
Own production infrastructure changes from design through implementation, validation, documentation, and operational support
Build and operate Kubernetes and EKS platforms, including cluster lifecycle management, container image security, runtime controls, observability, and workload onboarding
Modernize network architecture and connectivity using VPCs, Transit Gateway, PrivateLink, VPC endpoints, Route 53, network firewalls, and secure egress controls
Strengthen AWS identity and organization governance through account provisioning, IAM roles, permission boundaries, service control policies, access-key hygiene, and secrets rotation
Improve production visibility and stability through Grafana, Prometheus, distributed tracing, logging improvements, proactive monitoring, incident response, and root-cause analysis
Advance CI/CD and software supply-chain practices, including GitHub Actions, OIDC, secure runners, artifact management, package controls, and the retirement of legacy delivery tooling
Improve resiliency, compliance, and operational efficiency through backup and recovery controls, vulnerability remediation, Terraform drift management, audit evidence, and responsible AI-assisted automation