What are the responsibilities and job description for the Senior Platform Engineer position at ChatGPT Jobs?
Job Description
Senior Platform Engineer
Location: Washington, DC
Job Description
As a Senior Platform Engineer, you’ll play a critical role in shaping the foundation that powers our engineering organization. You’ll design, define, and evolve the platforms, standards, and automation that enable teams to deliver scalable, reliable, and secure solutions.
In This Role You'll:
Occasional travel required
Jobs
Compensation & Benefits:
Targeted starting salary range: $117,000 - $155,000 (based on experience)
Senior Platform Engineer
Location: Washington, DC
- On-site, Remote (Remote in Washington, Oregon, Idaho, or California)
Job Description
As a Senior Platform Engineer, you’ll play a critical role in shaping the foundation that powers our engineering organization. You’ll design, define, and evolve the platforms, standards, and automation that enable teams to deliver scalable, reliable, and secure solutions.
In This Role You'll:
- Architect platform “golden paths,” self-service provisioning frameworks, and reusable reference implementations
- Lead platform architecture reviews, technology evaluations, vendor assessments, and toolchain investment decisions
- Design and implement enterprise policy-as-code frameworks using Azure Policy and Ansible Automation Platform
- Define RBAC models, network segmentation strategies, secrets management practices, and zero-trust architectures
- Develop Ansible content strategies, reusable module libraries, and workflow orchestration using Tower/AWX
- Establish enterprise observability architecture, including telemetry standards, monitoring configuration, and alerting strategies
- Define and govern SLO/SLI frameworks and error budgets across platforms
- Lead incident response for platform-level issues, including postmortems and corrective actions
- Drive reliability engineering practices such as chaos engineering and resilience validation
- Architect infrastructure that supports AI/ML workloads including model serving, monitoring, and registry governance
- Partner cross-functionally with system, cloud, network, and application teams to design scalable automation workflows
- Define multi-region cloud strategies, including active/active and active/passive configurations and workload placement
- Mentor fellow engineers and serve as a technical escalation point for complex platform challenges
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field (Required). Equivalent combination of education and experience can be considered.
- 6 years of experience in platform engineering, cloud architecture, or infrastructure automation at enterprise scale (Required)
- Experience in banking, financial services, or other regulated industries (Preferred)
- Advanced certifications such as Azure Solutions Architect Expert, Certified Kubernetes Administrator (CKA), or Red Hat Certified Architect (RHCA) (Preferred)
- Strong communication and problem-solving skills, with ability to influence architecture and engineering standards across teams
- Deep expertise in Azure cloud architecture, including landing zones, governance, and FinOps practices
- High proficiency in Ansible, including module design, role standardization, and enterprise automation frameworks
- Strong coding and scripting skills in Python, Bash, or PowerShell
- Advanced experience with Kubernetes platform engineering, including multi-tenant governance and Helm architecture
- Excellent in designing observability systems using tools like New Relic and OpenTelemetry
- Strong background in security architecture, including secrets management, vulnerability integration, and compliance frameworks
- Experience or strong interest in AI/ML platform architecture, including model serving, monitoring, and lifecycle governance
- Understanding of cost optimization and cloud financial management through advanced FinOps practices
Occasional travel required
Jobs
Compensation & Benefits:
Targeted starting salary range: $117,000 - $155,000 (based on experience)
- Annual incentive potential
- Comprehensive employee benefits: medical, dental, vision, LTD, STD and life
- Paid vacation time, sick time and 11 company paid holidays
- 401k (with up to 4% match)
- Tuition reimbursement
Salary : $117,000 - $155,000