Senior Software Engineer, Cloud Platform
Indexed description
The nature of the ticketing engineering industry places unique constraints and workflows on our systems and infrastructure, especially during high-load onsales, requiring out of the box solutions and automation to be the norm. This team is the backbone to our Enterprise and Consumer lines of business as we grow our primary and secondary ticketing platforms that support world-class clients such as the Dallas Cowboys, and Manchester City FC.
What You'll Do
- Bring a software engineers’ mindset to SeatGeeks’ unique scaling, workflow automation and resilience challenges
- Build and maintain tools that our developers use to observe their applications, and drive initiatives to increase our overall reliability
- Engineer resilient and observable networking infrastructure that supports a diverse set of workloads across multiple regions
- Collaborate with other departments on how to run production systems and deployments with autonomy
- Support teams with expertise in the area of deployment, configuration, routing, monitoring and scalability in all parts of the stack
- Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits
- Become a force multiplier by mentoring and leading the team around you
- Participate in an on-call schedule to help our customers experience more live
- Passion for craftsmanship and product. You have well-considered opinions about how software and reliable infrastructure should work, and hold yourself and your code to a high standard
- Experience building business critical software in a fast-paced environment. We'll be interested in hearing about what you've built and how
- Experience solving complex technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including high traffic onsales, interactive venue maps, inventory tracking, and event matching. We'll be excited to hear about challenging problems you've solved
- Experience with Kubernetes, containers, and serverless compute platforms
- Experience with continuous integration, delivery, testing, and code deployment
- Experience using observability tools to make performance improvements and forecast growth
- Experience improving system architecture, diagnosing shortcomings and implementing evidence-based recommendations
- Languages: Go, C#, Python, Bash
- Runtimes: Kubernetes, Docker, ECS/Fargate, Lambda
- Datastores: Postgres, SQL Server, Memcache, Redis, and Elasticsearch
- Streaming & workflows: Kafka, Flink, Airflow, Temporal
- Service Discovery and Routing: Cilium, Consul, Envoy, CoreDNS
- Monitoring: DataDog
- Incident Management:PagerDuty
- Configuration Management: Chef, Ansible
- Secrets Management: Vault
- Infrastructure as Code: Cloudformation, Terraform
- Cloud Providers: AWS
- Version control: Git
- CI / CD: Gitlab CI
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