Staff DevOps Engineer

Jobtailor

California (MO)

On-site

USD 140,000 - 170,000

Full time

3 days ago
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Job summary

Lendistry seeks an experienced Platform Engineer to build and maintain the infrastructure for its lending platform. The role focuses on cloud architecture, security posture, and developer experience in a regulated financial services environment.

You will implement infrastructure-as-code, manage container orchestration, and support AI-assisted tooling and observability. Collaboration with security, operations, and platform teams is essential.

Qualifications

  • Bachelor's degree in CS or related discipline or equivalent experience.
  • 4+ years of experience engineering highly available, enterprise-grade software and platform applications.
  • 2+ years hands-on experience in platform engineering across various cloud computing models.
  • 2+ years hands-on experience with Kubernetes, container orchestration, Docker, and cloud-native applications.

Responsibilities

  • Build and maintain infrastructure underneath Lendistry’s lending platform.
  • Work on cloud architecture, security posture, and developer experience in a regulated financial services environment.
  • Support cloud architecture and account management across development, staging, and production environments.
  • Implement and maintain infrastructure-as-code and GitOps practices.
  • Support container orchestration across multiple deployable services and cloud accounts.
  • Support identity management, account-level security posture, secrets management, and KMS key practices.
  • Assist security and compliance teams with audits and vendor/security assessments.
  • Maintain and improve CI/CD pipelines across multiple repositories through production deployments.
  • Improve developer experience and internal tooling for engineering teams.
  • Participate in on-call and incident-response practices, including postmortems.
  • Integrate AI-assisted engineering tools into infrastructure workflows, CI/CD pipelines, and internal tooling.
  • Support AI-driven observability, including anomaly detection, predictive alerting, and AI-assisted root-cause analysis.
  • Support infrastructure for ML/AI product features, including model serving, inference monitoring, and compute scaling.
  • Contribute to self-service internal tooling and golden paths.
  • Mentor junior engineers and provide input on the infrastructure and platform engineering technical roadmap

Skills

Cloud Architecture
Kubernetes
CI/CD
Security & Compliance
Team Mentoring
Problem-Solving

Education

Bachelor's degree in Computer Science

Tools

AWS
Azure
GCP
Docker
GitHub Actions
Jenkins
Ansible
Splunk
AppDynamics
New Relic
Dynatrace

Job description

  • Build and maintain infrastructure underneath Lendistry’s lending platform
  • Work on cloud architecture, security posture, and developer experience in a regulated financial services environment
  • Support cloud architecture and account management across development, staging, and production environments
  • Implement and maintain infrastructure-as-code and GitOps practices
  • Support container orchestration across multiple deployable services and cloud accounts
  • Support identity management, account-level security posture, secrets management, and KMS key practices
  • Assist security and compliance teams with audits and vendor/security assessments
  • Maintain and improve CI/CD pipelines across multiple repositories through production deployments
  • Improve developer experience and internal tooling for engineering teams
  • Participate in on-call and incident-response practices, including postmortems
  • Integrate AI-assisted engineering tools into infrastructure workflows, CI/CD pipelines, and internal tooling
  • Support AI-driven observability, including anomaly detection, predictive alerting, and AI-assisted root-cause analysis
  • Support infrastructure for ML/AI product features, including model serving, inference monitoring, and compute scaling
  • Contribute to self-service internal tooling and golden paths
  • Mentor junior engineers and provide input on the infrastructure and platform engineering technical roadmap
Requirements
  • Bachelor's degree in computer science or a related discipline, or equivalent experience
  • 4+ years of experience engineering highly available, enterprise-grade software and platform applications
  • 2+ years of hands‑on experience in platform engineering across various cloud computing models
  • 2+ years of hands‑on experience with Kubernetes, container orchestration, Docker, and cloud‑native applications
  • Substantial hands‑on experience with public cloud platform services such as AWS, Azure, and GCP
  • Hands‑on coding experience in at least two programming languages: Java, JavaScript, Python, Go, or .NET/C#
  • Experience with cloud‑native application patterns, microservices architectures, and application migrations to any cloud platform
  • Working understanding of infrastructure, virtualization, containers, networking, storage, and monitoring and logging/analytics tools
  • Experience with application performance management tools such as Splunk, AppDynamics, New Relic, or Dynatrace
  • Experience with CI/CD tools and processes such as GitHub Actions, Jenkins, and Ansible
  • Experience with developer tools and open‑source technologies
  • Working familiarity with MLOps/LLMOps concepts and infrastructure needs of AI/ML workloads
  • Hands‑on use of AI coding assistants and developer tools such as Claude Code and GitHub Copilot
  • Familiarity with policy‑as‑code and software supply chain security practices
  • Preferred: 2+ years of experience in cloud infrastructure, DevOps, or SRE, with hands‑on AWS production experience
  • Preferred: AWS Well‑Architected Framework, AWS core services, Terraform/AWS CDK/CloudFormation, cloud operations, observability, SRE, cloud cost optimization, DevSecOps, incident response, and AI model governance knowledge
  • Ability to work effectively across engineering, security, operations, and platform teams
  • Interest in mentoring junior engineers and contributing to cloud engineering best practices is a plus
Core Competencies

Demonstrates expertise in cloud architecture, infrastructure-as-code, and container orchestration, with a strong focus on security and compliance in regulated financial services. Proficient in mentoring junior engineers and enhancing developer experience through effective tooling and CI/CD practices.

Highest-signal resume keywords
  • Cloud Architecture
  • Kubernetes
  • Infrastructure-As-Code
  • CI/CD Pipelines
  • AWS
Hard Skills
  • Java
  • JavaScript
  • Python
  • Go
  • .NET/C#
  • Docker
  • Microservices Architecture
  • MLOps
  • Policy-As-Code
  • Cloud-Native Applications
Soft Skills
  • Mentoring
  • Collaboration
  • Problem-Solving
Certifications & Qualifications
  • Bachelor's Degree in Computer Science
Industry Keywords
  • Financial Services
  • DevOps
  • SRE
  • Cloud Operations
  • Incident Response
Tools & Technologies
  • AWS
  • Azure
  • GCP
  • GitHub Actions
  • Jenkins
  • Ansible
  • Splunk
  • AppDynamics
  • New Relic
  • Dynatrace
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