Zone5technologies
Platform Engineer II/III
United States
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Role family
- Engineering
- Seniority
- Senior
- Stated salary
- $113,000 – $172,000 per year
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 13 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter.
We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here.
We are seeking a Platform Engineer to architect and operate scalable compute infrastructure that powers our autonomous vehicle simulation and testing framework. You will build elastic compute systems across AWS and on-premises clusters, enabling engineering teams to rapidly iterate on autonomy algorithms through massive parallel simulation workloads.
Responsibilities:
Elastic Compute Architecture
Design and implement auto-scaling compute infrastructure for simulation workloads using cloud platforms
Build and maintain on-premises GPU and CPU clusters for simulation and machine learning training
Architect hybrid cloud solutions that optimize cost and performance across cloud and local compute resources
Implement job scheduling and orchestration systems using Kubernetes for thousands of concurrent simulations
Design storage solutions for large-scale simulation data, logs, and artifacts using cloud and local storage systems
Simulation Platform Development
Deploy and maintain robotics simulation environments at scale
Build CI/CD pipelines for automated simulation testing of autonomy software
Create infrastructure for distributed parameter sweeps, Monte Carlo testing, and regression suites
Develop monitoring and observability systems for simulation fleet health and resource utilization
Implement data pipelines for simulation results ingestion, analysis, and visualization
Infrastructure as Code & Automation
Write and maintain infrastructure as code for reproducible infrastructure deployment
Build automation tools and CLI utilities to simplify developer access to compute resources
Implement GitOps workflows for infrastructure changes and configuration management
Create self-service interfaces for engineers to launch and manage simulation jobs
Develop cost monitoring and optimization strategies for cloud and on-prem resources
System Operations & Reliability
Monitor and optimize infrastructure performance, reliability, and cost efficiency
Troubleshoot complex distributed systems issues across networking, storage, and compute layers
Implement backup, disaster recovery, and business continuity strategies
Maintain security best practices including IAM, secrets management, and network isolation
Collaborate with autonomy, ML, and robotics teams to understand compute requirements and optimize workflows
Network Design & Infrastructure
Design and implement network architectures for distributed simulation workloads across AWS and on-premises environments
Configure VPCs, subnets, security groups, and routing for secure, high-performance compute clusters
Establish hybrid cloud connectivity (VPN, Direct Connect, site-to-site tunnels) between on-premises and cloud resources
Optimize network performance for large data transfers, multi-node communication, and distributed workloads
Support internal infrastructure network design and provide technical guidance to engineering programs
Troubleshoot network issues including latency, packet loss, and connectivity problems across distributed systems
Qualifications:
Bachelor's in Computer Science, Software Engineering, or related technical field – equivalent industry experience also welcome
2-5+ years of experience in platform engineering, DevOps, SRE, or cloud infrastructure roles
Strong hands-on experience with Kubernetes for container orchestration and workload management
Experience with cloud computing platforms and services (compute, storage, networking)
Deep understanding of Linux system administration and troubleshooting
Strong networking fundamentals including TCP/IP, routing, DNS, VPNs, and security
Understanding of infrastructure as code principles and configuration management
Proficiency in scripting and automation (Python, Bash, or similar)
Experience building and maintaining CI/CD pipelines
Solid grasp of distributed systems concepts, job scheduling, and resource management
Ability to design infrastructure from first principles and make architectural decisions
Preferred:
Experience building infrastructure for simulation, robotics, or autonomous systems workloads
Understanding of GPU computing and accelerated workload management
Knowledge of job scheduling systems for batch and parallel workloads
Experience managing on-premises clusters and hybrid cloud architectures
Familiarity with robotics middleware (ROS/ROS2) or simulation platforms
Understanding of cost optimization for compute-intensive workloads
Experience with monitoring, logging, and observability systems
Knowledge of containerization technologies and image management
Background in data engineering, MLOps, or machine learning infrastructure
Experience with network performance analysis and troubleshooting
Understanding of software-defined networking and network automation
Familiarity with security compliance requirements in aerospace/defense environments
Compensation:
Level II - $113,000 - $141,000
Level III - $142,000 - $172,000
Pay range for this role
$113,000 — $172,000 USD
What's in it for you:
Benefits:
Competitive total compensation package
Comprehensive benefit package options include medical, dental, vision, life, and more.
401k with company-match
3 weeks of paid time off each year
40 hours of sick time
12 annual company holidays
Why Join Zone 5 Technologies?
Innovative Environment: Work on cutting-edge technology that is shaping the future of defense and aerospace.
Collaborative Culture: Join a team of passionate professionals dedicated to pushing the boundaries of what’s possible.
Career Growth: Opportunities for professional development and career advancement.
If you are passionate about unmanned aircraft technology and want to be a part of a dynamic and growing company, we would love to hear from you. Apply today and join the Zone 5 Technologies team!
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Zone 5 Technologies is a federal contractor and participates in E-Verify to confirm employment eligibility. As required by law, we will verify the identity and employment authorization of all new employees using the E-Verify system. Learn more about your rights and responsibilities under E-Verify: https://www.e-verify.gov .
Listed on hirly, a job board. hirly is not the employer: Zone5technologies is hiring for this role.
Similar jobs
- Senior Platform Engineer - ClickHouseQualys · Foster CityFirst seen today
- Senior MongoDB Database Platform EngineerAllstate · US - RemoteFirst seen todayremote
- Senior Corporate Enterprise Platform Engineer, WindowsDropbox · Remote - US: Select locationsFirst seen todayremote
- Senior Corporate Enterprise Platform Engineer, WindowsDropbox · Remote - Canada: Select locationsFirst seen todayremote
- Senior Platform EngineerCalistacorp · Huntsville, ALFirst seen yesterday
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job