Role Description
Builds and operates the cloud platform, automation, and delivery capabilities that enable teams to develop, deploy, and run secure, reliable, and scalable solutions. Ensures operational excellence through strong DevOps practices, while supporting observability, governance, compliance, and AI oversight requirements.
Key Responsibilities:
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Build and maintain CI/CD pipelines, cloud infrastructure, and platform automation.
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Automate environment provisioning, deployments, monitoring, and operational processes.
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Support production operations, incident management, root cause analysis, and reliability engineering.
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Implement platform security, DevSecOps controls, and compliance automation.
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Partner with engineering teams on production readiness, resiliency, and operational best practices.
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Establish reusable platform capabilities that improve developer productivity and operational consistency.
Qualifications
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AWS Cloud engineering and infrastructure-as-code experience.
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Strong CI/CD, automation, DevOps, and platform engineering background.
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Experience with containers, APIs, distributed systems, and modern software delivery practices.
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Scripting and automation skills (Python, Bash, PowerShell, or similar).
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Degree and/or certifications required.
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USC or Green Card holder. W2 only. No sponsorship.
Requirements
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Observability platforms such as CloudWatch, OpenTelemetry, Datadog, Grafana, Prometheus, or Splunk.
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Governance automation, policy-as-code, auditability, and compliance controls.
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Security telemetry, DevSecOps, and regulated industry experience.
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AI governance, model monitoring, and agent/LLM observability.
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Mortgage lending or finance industry background.
Benefits
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Uses automation to balance speed, reliability, and governance.
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Strong focus on observability, operational excellence, and platform enablement.
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Comfortable supporting both traditional applications and emerging AI-enabled solutions.
Soft Skills
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Self-starter.
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Ability to speak up and show initiative.
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Ability to communicate cross-functionally and to leadership on initiative updates.
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MUST have ability to communicate effectively.
Skills
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OpenTelemetry - hands-on and at programme level.
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Defining observability standards across the enterprise.
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Working with business leads on metrics - SLOs and leadership reporting.
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Authoring instrumentation libraries that application teams adopt.
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Trace and span propagation conventions.
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Metric naming conventions and alert templates adopted organization wide.
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Observability onboarding standards - made mandatory before production.
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SLO definition and leadership-facing reporting.
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AWS cloud engineering.
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Infrastructure as code - Terraform, automated provisioning.
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CI/CD - creating and maintaining deployment pipelines.
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Docker and Kubernetes.
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Python or a similar scripting language (Bash, PowerShell).
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Containers, APIs, distributed systems and modern software delivery practices.
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Production operations, incident management, root cause analysis and reliability engineering.
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Platform security, DevSecOps controls and compliance automation.
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Establishing reusable platform capabilities for developer productivity.
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Other observability platforms - CloudWatch, Datadog, Grafana, Prometheus, Splunk.
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Governance automation, policy-as-code, auditability and compliance controls.
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Security telemetry and regulated-industry experience.
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AI governance, model monitoring and agent/LLM observability.
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Mortgage lending or finance industry background.