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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in driving reliability and operational excellence for large-scale public-facing software, with a strong focus on observability, incident management, and automation. Proficient in using Terraform and Kubernetes for infrastructure management and capable of mentoring engineering teams in best practices.
Highest-signal resume keywords
SLO/Error Budget ManagementObservability Platforms (Datadog)Terraform Infrastructure-as-CodeKubernetes on AWSScripting/Programming (Python, Go)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SLO/Error Budget ProgramsIncident ManagementPerformance TuningCapacity PlanningLoad TestingResilience/Chaos TestingAutomationRoot Cause AnalysisMetrics AnalysisAlert Design
Soft Skills
Technical Thought LeadershipKnowledge SharingContinuous LearningCollaborationMentoring
Tools & Technologies
TerraformKubernetesAWSDatadogAgentic AI Tools
Industry Keywords
Operational ExcellenceProduction ReadinessSelf-Healing SystemsService ComplianceScalability Standards
Tech Stack
Tools & technologiesAWSKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Collaborate with key stakeholders across the business to solve critical technical problems for Allergan Aesthetics
- Drive reliability, availability, and operational excellence for large-scale public-facing software
- Define and champion SLO/SLI frameworks and error budget-based decision making
- Own observability strategy across services, including metrics, logs, traces, and alerting
- Lead capacity planning, load testing, and resilience/chaos testing
- Establish production readiness reviews and improve testing and release procedures
- Identify and eliminate toil through automation, self-healing systems, and improved observability
- Gather and analyze operating system and application metrics for performance tuning and fault finding
- Improve platform reliability through Terraform infrastructure-as-code and Kubernetes configuration
- Own and evolve incident response, including severity definitions, escalation paths, and postmortems
- Participate in on-call rotations and provide hands-on incident support
- Troubleshoot infrastructure and application issues and drive blameless root cause analysis
- Champion reliability, scalability, and security standards across services and the product platform
- Partner on architecture decisions and assess reliability risks before launch
- Define and maintain reliability standards and track service compliance
- Mentor senior-level DevOps and Software Engineers
- Foster operational excellence, knowledge sharing, and continuous learning
- Provide technical thought leadership for strategic architecture, systems, and roadmap projects
Requirements
What you’ll need- Proven track record running SLO/error budget programs and incident management for large-scale production systems
- Deep experience with observability platforms (e.g., Datadog) and alert design
- Working proficiency with Terraform and Kubernetes on AWS
- Comfortable reading, reviewing, and contributing infrastructure code
- Strong scripting/programming skills (e.g., Python, Go) for automation and tooling
- Preferred: Hands-on experience using or building agentic AI tools (e.g., Claude Code, MCP-based integrations) to automate engineering or operational workflows, with appropriate guardrails and human oversight
Benefits
Comp & perks- Paid time off (vacation, holidays, sick)
- Medical, dental, and vision insurance
- 401(k)
- Eligibility to participate in long-term incentive programs
- Remote work option
- 5% travel
