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Senior Platform Engineer
Arbor Education. Contribute to system design and architecture decisions, balancing speed, scalability, maintainability, and security .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Platform Engineering with a focus on scalable systems, cloud architectures, and automation. Proficient in coding standards, observability, and mentoring engineers while ensuring production-readiness and compliance.
Highest-signal resume keywords
Platform EngineeringAWS Cloud ArchitecturePython AutomationTerraform ProficiencyContainerization with Docker
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Platform EngineeringAWSPythonGoJavaC++TerraformDockerKubernetesCI/CD Pipelines
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
DataDogPrometheusECSConfiguration Management ToolsAgentic AI
Industry Keywords
Distributed SystemsMicroservicesObservabilityIncident ManagementSecurity Best Practices
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerJavaKubernetesMicroservicesPHPPrometheusPythonTerraformC++Go
About the role
Key responsibilities & impact- Contribute to system design and architecture decisions, balancing speed, scalability, maintainability, and security
- Own services from design through production, ensuring observability and compliance with agreed Service Level Objectives
- Deliver improvements in platform reliability, performance, and efficiency
- Improve infrastructure and operations automation to reduce toil and increase team velocity
- Apply coding standards and write well-tested, reusable code
- Engage with the architecture community and share best practices
- Enable AI agents to act as force multipliers within the codebase
- Ensure services meet production-readiness standards
- Provide technical estimates and feasibility input
- Deliver work iteratively, contribute to release planning, and participate in post-release reviews
- Raise dependencies within planned work
- Support and mentor engineers through code review, pairing, and constructive feedback
- Participate in on-call rotations and incident response
- Lead investigations, contribute to post-mortems, and drive follow-up improvements
- Collaborate with Product Managers, Engineering Managers, the Tech Lead, and other engineers
- Align technical delivery with product strategy and communicate technical concepts to technical and non-technical stakeholders
Requirements
What you’ll need- Considerable professional experience in Platform Engineering on complex, scalable systems
- Strong hands-on expertise with AWS and distributed cloud architectures
- Experience operating production platforms serving at least 6,000 requests per second
- Deep understanding of enterprise deployment and maintenance processes, such as blue-green deployments
- Proficiency with Terraform and configuration management tools
- Strong skills in Python, Go, or a similar language for automation and tooling
- Significant experience with Java, C++/#, PHP, or another language, preferably in a sizable object-oriented codebase
- Hands-on experience with monitoring and observability platforms such as DataDog or Prometheus
- Experience with incident and problem management practices
- Solid understanding of distributed systems, microservices, and resilience patterns
- Hands-on experience with containerisation and orchestration technologies such as Docker, Kubernetes, and ECS
- Practical experience building and maintaining CI/CD pipelines for automated deployments
- Experience supporting and mentoring engineers through code review, pairing, and feedback
- Experience using agentic AI, or interest in increasing productivity with new tooling including agentic AI
- Bonus: experience with chaos engineering and reliability testing
- Bonus: knowledge of security best practices and compliance frameworks
- Bonus: contributions to open-source projects or the software community
- Bonus: experience running ECS at scale
- Bonus: experience working with agentic and generative AI to increase productivity
Benefits
Comp & perks- A dedicated wellbeing team championing mindfulness, lunch n learns, manager training, mental health first aid training and more
- 32 days holiday plus Bank Holidays, including 25 days annual leave and 7 extra company-wide days
- Life Assurance paid out at 3x annual salary
- Comprehensive wellness benefit via AIG Smart Health, including 24/7 virtual GP, mental health support, counselling, and personalised health checks
- Private Dental Insurance with Bupa
- Salary sacrifice Pension provided by Scottish Widows
- Enhanced maternity and adoption leave: 20 weeks full pay
- Enhanced paternity leave: 6 weeks full pay
- 5 free return-to-work maternity coaching sessions
- Access to Calm and Bippit financial wellbeing coaching
- Flexible working
- Social committees and team, office, and company-wide events
- Dedicated professional development training budget, including CPD courses, upskilling resources, and professional memberships
- One paid volunteer day each year
- Dog-friendly offices