Site Reliability Engineer at Pythian, designing and operating large - scale distributed systems. Collaborating with teams to build resilient infrastructure across compute, storage, networking, and AI/ML environments.
About the role
- DevOps Engineer working with cloud technologies to support engineering environments at AI platform for managing people and money. Collaborating with developers and maintaining high availability of systems.
Responsibilities
- Design infrastructure and automated systems to support our distributed architecture
- Build and Manage CI/CD pipelines and constantly improve their reliability & speed, and reduce lead time for changes
- Forecast and plan for the infrastructure needs of a fast-growing SaaS company and find ways to improve efficiency and cost
- Trace performance bottlenecks and identify optimizations and improvements at both the infrastructure and application level
- Collaborate with our engineering team to meet high SLO and SLA requirements from customers
- Maintain highly available web and backend systems that serve millions of users, and 1000’s of requests per second
- Closely collaborating with Developers to setup, configure and plan the necessary cloud services in support of new feature development on AWS
- Analyze system performance and capacity and plan for future growth
- Securing our infrastructure at both the cloud layer (IAM) and application layer (PKI)
- Building and expanding monitoring and alerting systems for both infrastructure and business operations, using internal tools & integrating into established 3rd party SaaS ones
- Establishing comprehensive infrastructure-as-code coverage to support our entire platform
- Develop tools to enhance and support Developer Productivity
- Champion automation of manual processes and reducing operational overhead
Requirements
- 3+ years DevOps or software development experience
- 3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB
- 2+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2
- 2+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem
- 2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting
Benefits
- Workday Bonus Plan or role-specific commission/bonus
- Annual refresh stock grants
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