Job Title: Mid-Level DevOps / API Engineer

Company Name: Nomad Temporary Housing

Job Url: https://www.simplyhired.com/job/Ho0QZVJFSgL4djV_BBC8ORAQ1GXdXxY6DWJ67M9uM76qsbNp2mq4Og

Job Description: DevOps / API Engineer — Mid-Level
Nomad Temporary Housing
Remote

Job Details
Full-time
$85,000 - $105,000 a year
12 hours ago
Benefits
Health insurance
401(k)
Paid time off
Qualifications
TensorFlow
Authentication
Data encryption
Cloud identity and access management (IAM)
Network design
Data replication
Load balancers
Amazon EC2
Data migration
Security architecture design
Infrastructure as Code (IaC)
Load balancing
Database backup and recovery
Implementing cloud migration projects
IT system monitoring
Laravel
AWS Certification
Amazon ECS
High availability architecture
Network security implementation
SOC 2
Bitbucket
Application deployment
AWS Certified Solutions Architect – Associate
Mid-level
TLS
Bash
Automating deployment processes
Infrastructure architecture design
Database management
Docker
Model deployment
Azure DevOps proficiency
Access control implementation
Next.js
Terraform
Azure AD
Implementing APIs
Azure Virtual Machines
Cloud networking
Server virtualization
Developing automated testing protocols
S3
Grafana
Apache
Root cause analysis
AI
Cloud monitoring
Log analysis
AWS Certified Security – Specialty
RDS database
Machine learning frameworks
Incident response implementation
Cloud storage services
Communication skills
Python
Azure Virtual Network (Vnet)
Virtual Private Clouds
NGINX
Debugging
AWS Certified DevOps Engineer – Professional
Database replication implementation
Route 53
AWS Certified Solutions Architect – Professional
Microsoft Certified: Azure Administrator Associate
System performance monitoring
AWS CloudFormation
IT disaster recovery planning
AWS Lambda
Full Job Description
About Nomad Temporary Housing

Nomad Temporary Housing is the only independent operator of temporary apartments that combines the full service of an international temporary apartment company with a global network of over 3,000 quality providers, 22,000 properties, and 300,000 apartments worldwide. Founded by a pioneer of the temporary housing industry, Nomad provides unbiased, needs-driven accommodations—from garden-style apartments in Los Angeles to high-rise units in Shanghai, New York, and Vancouver, to traditional townhouses in London. With regional offices in San Diego, Phoenix, Hong Kong, and London, our engineering team builds and maintains the platforms, APIs, and infrastructure that power this global operation.

Role Summary

We are seeking a Mid-Level DevOps / API Engineer to own and evolve our cloud infrastructure across AWS and Azure environments. This individual contributor role is central to our engineering team and encompasses CI/CD pipeline management, cloud security, video transcoding infrastructure, and emerging AI/ML workloads. You will be the primary steward of our deployment pipelines, server infrastructure, and system reliability.

The ideal candidate is a self-directed problem solver who thrives in a small-team environment, takes ownership of infrastructure end-to-end, and is excited about integrating AI/ML capabilities into production systems.

Required Technical Qualifications

Cloud Infrastructure — AWS (Expert)

· Deep, hands-on experience with the AWS ecosystem including EC2, RDS, S3, Lambda, CloudFront, Route 53, IAM, VPC, and Elastic Load Balancing.

· Proven experience with AWS CodeDeploy, CodePipeline, and related deployment services.

· Proficiency in AWS security best practices: IAM policies, Security Groups, NACLs, KMS encryption, and AWS Shield/WAF.

· Experience managing and optimizing AWS cost allocation and resource utilization.

· AWS certification(s) required (e.g., AWS Solutions Architect Associate, AWS DevOps Engineer Professional, or equivalent).

Cloud Infrastructure — Azure (Working Knowledge)

· Familiarity with Azure fundamentals including Azure VMs, Azure DevOps, Blob Storage, Azure Active Directory, and Azure Networking.

· Ability to architect and manage multi-cloud deployments spanning AWS and Azure.

· Experience with or willingness to lead AWS-to-Azure migration efforts for select workloads.

CI/CD & Source Control

· Expert knowledge of Bitbucket and Bitbucket Pipelines including custom runners, pipeline configuration, and branch-based deployment strategies.

· Strong experience with Docker for containerized builds, testing, and deployment.

· Ability to design, implement, and maintain robust CI/CD pipelines that support automated testing, staging, and production deployments.

· Experience with infrastructure-as-code principles and tools (Terraform, CloudFormation, or ARM templates preferred).

Server & Web Technologies

· Expert knowledge of Apache, Nginx, and related web server technologies including SSL/TLS configuration, reverse proxy setups, and performance tuning.

· Expert knowledge of PHP (8.x) and the Laravel framework in production environments, including queue workers, scheduled tasks, Artisan commands, and Horizon/Supervisor management.

· Proficiency in Laravel API development including RESTful API design, middleware, authentication (Sanctum/Passport), and rate limiting.

· Experience with PHP deployment workflows including Composer dependency management, environment configuration, OPcache tuning, and PHP-FPM optimization.

· Ability to debug and troubleshoot Laravel applications in production, including log analysis, error tracking, and performance profiling.

· Expert knowledge of React, Next.js, and Node.js application deployment, including SSR/SSG hosting strategies and CDN integration.

Database Management

· Expert knowledge of MySQL database administration including replication, backup strategies, performance tuning, and query optimization.

· Demonstrated experience administering MySQL 8.x in production environments, including familiarity with new features such as window functions, CTEs, JSON enhancements, and the data dictionary.

· Familiarity with database migration strategies, schema versioning, and data integrity validation.

AI/ML Infrastructure

· Experience managing GPU-based compute instances (AWS EC2 P/G instances, Azure NC/ND series) for inference and transcoding workloads.

· Ability to build and maintain AI/ML pipelines including data ingestion, model serving, and monitoring.

· Experience integrating AI/ML models into existing production applications and APIs.

· Familiarity with containerized model serving (e.g., NVIDIA Triton, TensorFlow Serving, or similar).

Video Transcoding Infrastructure

· Ownership of the video transcoding pipeline including encoding, storage, delivery, and monitoring.

· Experience with transcoding tools and services (FFmpeg, AWS Elemental MediaConvert, or equivalent).

· Ability to optimize transcoding workflows for cost, quality, and throughput.

Security Requirements

· Expert knowledge of cloud software security including network segmentation, encryption at rest and in transit, secrets management, and vulnerability scanning.

· Experience deploying and managing firewalls, intrusion detection/prevention systems, and DDoS mitigation.

· Knowledge of compliance frameworks relevant to data privacy (SOC 2, GDPR awareness, or similar).

· Proficiency in implementing backup and disaster recovery strategies with documented RTOs and RPOs.

· Experience conducting security audits and implementing remediation plans.

Core Responsibilities

Infrastructure & Deployment

· Build, test, and deploy software applications across development, staging, and production environments.

· Manage migration of code and infrastructure between environments with full rollback capabilities.

· Design and maintain virtualization and containerization strategies across AWS and Azure.

· Own the full video transcoding infrastructure lifecycle—encoding, storage, delivery, and monitoring.

· Install, configure, and manage GPU-based compute resources for AI/ML inference and transcoding workloads.

Monitoring & Reliability

· Implement and maintain system performance monitoring, alerting, and incident response processes.

· Proactively identify and resolve bugs, bottlenecks, and system reliability issues.

· Conduct ongoing appraisal of infrastructure health and recommend capacity planning adjustments.

· Implement systems and processes to prevent recurring issues through root cause analysis.

Security & Compliance

· Deploy and manage security controls including firewalls, WAFs, network policies, and access controls.

· Maintain backup, recovery, and business continuity systems.

· Design and deploy secure network architectures and application security configurations.

· Conduct regular security assessments and implement hardening measures.

Automation & Optimization

· Identify opportunities for automation to improve processes, reduce manual effort, and increase reliability.

· Design, build, and maintain automation scripts and tools in relevant programming languages (Bash, Python, JavaScript).

· Implement automated testing, diagnostics, and deployment workflows.

· Continuously evaluate and upgrade systems, tools, and processes to optimize performance and cost.

· Select and implement appropriate tools for specific infrastructure and operational tasks.

AI/ML Operations

· Build and maintain pipelines for AI/ML model deployment, serving, and monitoring in production.

· Manage GPU instance lifecycle including provisioning, scaling, cost optimization, and decommissioning.

· Collaborate with the development team to integrate AI capabilities into existing products and services.

· Monitor model performance and infrastructure health for AI/ML workloads.

Preferred Qualifications

· Additional AWS certifications (e.g., AWS DevOps Engineer Professional, AWS Security Specialty) and/or Azure certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert).

· Experience with Terraform or other infrastructure-as-code tools in production multi-cloud environments.

· Familiarity with Kubernetes or ECS for container orchestration.

· Experience with monitoring/observability platforms (Datadog, Grafana, CloudWatch, or similar).

· Background in or exposure to game development infrastructure, media processing, or real-time systems.

· Experience working in small, autonomous engineering teams where ownership spans the full stack.

Soft Skills & Work Environment

· Strong written and verbal communication skills—critical for a fully remote team.

· Self-directed and proactive; able to identify problems and drive solutions without constant oversight.

· Comfortable documenting processes, runbooks, and infrastructure decisions.

· Collaborative mindset with the ability to work closely with a small development team.

· Growth-oriented—eager to learn and stay current with evolving cloud, security, and AI/ML technologies.

What We Offer

· Fully remote work environment with a small, focused engineering team.

· Opportunity to own critical infrastructure end-to-end across cloud, AI/ML, and media processing.

· Exposure to emerging technologies including multi-cloud architecture and AI/ML pipelines.

· A culture that values ownership, pragmatism, and continuous improvement.

Job Type: Full-time

Pay: $85,000.00 - $105,000.00 per year

Benefits:

401(k)
Health insurance
Paid time off
Schedule:

8 hour shift
Monday to Friday
Work Location: Remote