Senior Platform Engineer

We're seeking an exceptional Senior Platform Engineer to serve as a technical lead in designing and building the next generation of our platform infrastructure, with a focus on maintaining high system uptime. In this high-impact role, you'll design and build scalable, reliable systems that empower engineering teams to ship faster and confidently. You'll work at the intersection of data, infrastructure, automation, observability, developer experience laying out the foundations that enable our products to be fully automated, resilient and highly available. This position is ideal for someone who thrives on creating innovative solutions that drive faster delivery of high-quality products, providing improved solutions for end-user to understand how their products are performing, and exploring new and unique tools for end-users to build better.  

Key Responsibilities  

• Design Platform Services: Using AI-assisted engineering to design, implement and operate core platform services and automation frameworks, including Infrastructure as Code (IaC) modules, CI/CD pipelines, and self-service tooling that enables engineering teams to deploy with confidence and speed.  
• Drive Operational Excellence: Build and operationalize comprehensive monitoring, alerting, and observability solutions across the organization. Establish SLOs/SLIs and implement systems to ensure platform reliability, performance, and availability at scale.  
• Technical Excellence: Serve as the hands-on technical and subject matter expert, promote best practices for building scalable, resilient, cloud-native systems, apply architectural standards, coding practices, and operational excellence principles.  
• Cross-Functional Collaboration: Partner with data engineering, SRE, security, and software teams to support and scale products.  
• Build for Scale & Reliability: Design and implement platform components that handle significant technical and organizational scale, supporting high-throughput systems with minimal latency and maximum reliability. Modernize existing systems using advanced AI techniques. 
• Innovation & Continuous Improvement: Identify opportunities to improve developer productivity, reduce operational toil, and increase system reliability. Stay current with industry trends and emerging technologies, bringing forward innovative solutions that advance our platform capabilities.  

Required Qualifications  

• 5+ years of professional experience in data engineering, platform engineering, infrastructure engineering, Site Reliability Engineering (SRE), or DevOps roles, with a proven track record operating at the Senior IC level  
• Extensive experience building and operating large-scale, distributed systems in production environments  
• Hands-on experience implementing AI solutions to modernize platform infrastructure, with appropriate governance and guardrails. 
• Deep expertise in Infrastructure as Code (IaC), particularly large-scale usage of Terraform, CloudFormation, Pulumi, or another IaC framework.  
• Expert-level knowledge of container orchestration technologies (Kubernetes, Docker) and cloud-native application deployment patterns  
• Strong experience with CI/CD practices and tooling (e.g., GitLab CI, GitHub Actions, Jenkins, ArgoCD) and experience building self-service pipelines for engineering teams  
• Proficiency in system programming languages (Python, Go, or similar) used for building internal tooling, automation APIs, and platform services  
• Proven experience designing and maintaining production observability systems (Prometheus, Grafana, ELK stack, Datadog, or similar)  
• Strong understanding of networking, security, and systems architecture in cloud environments  
• Excellent communication and documentation skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders and write clear architectural decision records (ADRs)  
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)  

Preferred Qualifications  

• Experience working with AI/ML platforms, frameworks, and APIs, including deploying and scaling ML models  
• Hands-on experience with GitOps workflows and tools (Flux, ArgoCD)  
• Familiarity with security scanning tools for container images, Infrastructure as Code, and runtime security  
• Knowledge of FinOps practices and cloud cost optimization strategies  
• Experience building developer platforms or internal platform-as-a-service (PaaS) offerings  
• Experience working in fast-paced, high-growth environments with rapidly changing requirements  
• Track record of shipping impactful infrastructure projects that measurably improved developer productivity or system reliability  

Technical Skills/Stack  

Cloud Platforms:  

• Azure (Preferred), AWS, or Google Cloud Platform (GCP)  
• Deep knowledge of compute, networking, storage, and managed services  
• Kubernetes (AKS, EKS, GKE, or self-managed)  
• Docker, containerd  
• Helm charts and package management  

Infrastructure as Code:  

• Terraform (required)  
• CloudFormation, Pulumi, or Crossplane  
• Configuration management (Ansible, Chef, Puppet)  

CI/CD & GitOps:  

• CircleCI, GitHub Actions, GitLab CI, or Jenkins  
• ArgoCD, Flux, or Spinnaker  
• Artifact management (Artifactory, ECR, Harbor)  

Observability & Monitoring:  

• Prometheus & Grafana  
• ELK/EFK Stack (Elasticsearch, Logstash/Fluentd, Kibana)  
• Distributed tracing (Jaeger, Tempo, Datadog APM)  
• Alerting and incident management (PagerDuty, Opsgenie)  

Programming & Scripting:  

• Python, Go, or Rust  
• Bash/Shell scripting  
• YAML, JSON, HCL  

Databases & Data Stores:  

• PostgreSQL, MySQL  
• Redis, RabbitMQ, Memcached  
• DynamoDB, MongoDB, Cassandra  

Networking & Security:  

• Load balancers and ingress controllers  
• DNS, CDN, and edge networking  
• TLS/SSL certificate management  
• Network policies and security groups  
• Secret management (Vault, AWS Secrets Manager, Azure Key Vault)  

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