Platform & Infrastructure Engineer
lgads · Denver, CO ·
- Employment
- Full time
- Category
- Devops
- Experience
- 3+ years
We require people to be on-site, 4 days/week at our Denver or NYC office and are unable to offer relocation support.
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.
We're growing our infrastructure team in Denver and looking for an engineer who has gotten their hands dirty with both physical infrastructure and cloud environments — someone who's moved past tutorials and has real scars from production systems. You don't need to have all the answers yet, but you should be able to own a task end-to-end, ask good questions, and learn fast in a hybrid environment that spans data centers and AWS.
You'll work alongside senior engineers on a team that's actively building out our on-premises layer — provisioning servers, managing network infrastructure, extending our IaC practices, and keeping everything running reliably. This is a role where you'll be doing real work from day one, with mentorship and context from engineers who've built these systems before.
A note on what we're not looking for:
This role isn't for someone who's only worked in fully managed cloud environments and wants to stay there. The on-prem side of this team is real and growing — if physical infrastructure sounds boring or intimidating, this probably isn't the right fit. If it sounds interesting and you want to learn it properly, we'd love to talk.
Hybrid Infrastructure
Assist with deployment and maintenance of on-premises compute, storage, and networking infrastructure alongside our AWS environment
Participate in bare metal server provisioning and OS deployment workflows
Support day-to-day network operations: troubleshoot connectivity issues, help maintain firewall rules, VLANs, and VPN configurations under senior guidance
Help maintain and document storage systems and cloud connectivity configurations
Automation & Platform Support
Write and maintain Infrastructure as Code using Terraform and Ansible for both on-prem and cloud resources
Support CI/CD pipeline maintenance and help onboard teams to existing platform tooling
Assist with Kubernetes cluster operations — deployments, troubleshooting, resource management — across bare metal and EKS environments
Contribute automation scripts and tooling improvements in Python or Bash
Security & Reliability
Follow established security standards for on-prem and cloud: help maintain RBAC configurations, apply patches, and support access management processes
Participate in on-call rotation with support from senior engineers; help investigate and resolve infrastructure incidents
Contribute to monitoring dashboards and alert configuration across hybrid environments
Collaboration
Work closely with senior engineers and application teams to understand infrastructure needs and translate them into tickets and tasks
Keep runbooks, wikis, and operational documentation current as you learn systems
Flag issues, ambiguities, and potential improvements — your observations from ground-level operations matter
3–5 years of experience in infrastructure, DevOps, platform engineering, systems administration, or a related role
At least one full-time industry role beyond your first job (internships and co-ops count toward the foundation, but we're looking for professional experience in a production environment)
Comfortable with Linux system administration: file systems, networking, process management, bash scripting
Hands-on experience with at least one IaC tool — Terraform or Ansible preferred
Working knowledge of AWS fundamentals: EC2, VPC, IAM, S3, and basic networking concepts
Basic networking understanding: IP addressing, DNS, VLANs, firewalls — you don't need to configure BGP from scratch, but you should be able to troubleshoot a connectivity issue
Experience with or exposure to Kubernetes — doesn't need to be bare metal, but you should understand the basics of pods, deployments, and services
Scripting ability in Python or Bash for automation tasks
Nice to Have
Any exposure to physical infrastructure: data center work, homelab, or on-prem environments in a professional setting
Familiarity with configuration management tools (Ansible, Salt, or similar)
AWS certification (any level) or in-progress certification
Experience with observability tooling: Prometheus, Grafana, Datadog, or ELK
LG Ad Solutions provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to [email protected] to let us know the nature of your request.
Application Deadline: December 31, 2026
Compensation & Benefits
Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$128,000 - $176,000/year
Tier 2* (all other U.S. Locations outside of Tier 1)$112,000 – $154,000/yr
Offers Bonus
Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.
*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.