Staff Platform Engineer

Opala; Seattle (WA); Remote; USD 188,000 - 216,000; Full time

Job summary

Opala is seeking a Staff Platform Engineer for a fully remote position. The role involves leading infrastructure and platform engineering, focusing on Azure and AWS environments while mentoring others. Ideal candidates will have strong experience in CI/CD, Terraform, and automation, driving excellence in cloud-native platforms.

Benefits

Medical, dental, vision, life and AD&D insurance

401k and stock options

16 days PTO and 8 paid holidays

Fully paid holiday closure

Annual bonuses and salary increases based on merit

Qualifications

• 7+ years in platform, DevOps, or infrastructure engineering roles.
• 3+ years experience hands-on in Azure and AWS.
• Strong proficiency in Terraform and automation.

Responsibilities

• Develop and maintain CI/CD pipelines with GitHub Actions.
• Architect and implement infrastructure on Azure and AWS using Terraform.
• Lead platform initiatives and ensure infrastructure reliability.

Skills

Terraform

CI/CD

Cloud Security

Automation

Scripting

Collaboration

Job description

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We’re seeking a Staff Platform Engineer, in this remote position, to lead infrastructure and platform engineering across Azure and AWS environments. This role is ideal for a highly driven, self-managed engineer with a passion for building robust cloud-native platforms and mentoring others. You will design and support systems using modern DevOps practices, infrastructure as code, and observability tooling, with a strong emphasis on full-stack system alerting, logging, and monitoring.

As a senior technical leader, you’ll shape our platform direction, drive automation, and foster a culture of ownership, collaboration, and excellence.

Key Responsibilities:

• Develop and maintain CI/CD pipelines with GitHub Actions, optimizing deployment workflows for security, speed, and reliability
• Architect and implement infrastructure on Azure and AWS using Terraform and immutable infrastructure patterns
• Automate infrastructure and operations using Bash, PowerShell, and/or Python
• Build and manage robust observability systems using the Azure and AWS native tools to support logging, metrics, and alerting
• Collaborate with application and data teams to ensure platform capabilities meet engineering needs
• Lead platform initiatives, establish best practices, and ensure infrastructure reliability, scalability, and performance
• Foster a culture of continuous improvement by mentoring engineers and promoting knowledge sharing
• Act as a strategic partner in shaping technical direction and infrastructure visio
• Participate in on-call rotations and provide technical leadership during incidents
  
  

Minimum Qualifications:

• 7+ years in platform, DevOps, or infrastructure engineering roles
• 3+ years experience hands-on in Azure
• 3+ years experience hands-on in AWS
• 1+ years experience in multi-cloud with cross-cloud VPN
• Proven experience implementing and maintaining observability solutions, especially using native Azure and AWS tools
• Experience working in infrastructure or platform teams practicing Scrum or Kanban, or in SRE squad model
• Strong proficiency in Terraform, infrastructure-as-code, and automation
• Hands-on experience scripting with Bash, PowerShell, or Python
• Expertise with GitHub and GitHub Actions for source control and CI/CD automation
• Deep understanding of cloud security, scalability, and cost-efficiency
• Demonstrated ability to lead initiatives and mentor other engineers
• Strong interpersonal and communication skills; thrives in collaborative and inclusive teams
• Experience coaching both hard and soft skills within team members
• Self-starter with exceptional organizational, communication, and decision-making skills
• Excitement for start-up mentality
  
  

Preferred Qualifications:

• Experience withAzure Databricksor similar data platform tools
• Experience with Azure Functions, AWS Lambda or similar serverless tools
• Hands-on experience with Azure Monitor, Azure AppInsights, AWS CloudWatch
• Familiarity with container technologies (e.g., Docker, Kubernetes, ECS)
• Knowledge of other observability tools like Prometheus, Grafana, or Datadog
• Experience working in regulated or enterprise environments
• Experience with Cloud Cost Forecasting, Tracking, and Management, Reserved Instance and Cloud savings plan
• Experience with AI/ML operations
• Agile (SAFe, Scrum, Kanban) Certification
  
  

Benefits:

• The Seattle base salary range for this full-time position is $188k-$216k. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Benefits include medical, dental, vision, life and AD&D insurance, EAP, short-term and long-term disability, 16 days PTO, 8 paid holidays, fully paid holiday closure, parental and family medical leave, 401k, stock options and annual bonuses and salary increases based on merit
  
  

Diversity and Inclusivity Statement:

• At Opala, we believe that diversity and inclusivity are critical to our success. We encourage and value diverse perspectives and experiences, and we believe that they are essential for driving innovation and creating products that meet the needs of our diverse customer base.
  
  

Opala is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

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Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Publishing

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