Responsibilities

• Cloud infrastructure: Management and optimization of cloud computing resources using Infrastructure as Code and best practices
• Integration engineering: Support the software development life cycle (SDLC) to continuously integrate, test, and build code regularly and efficiently, progressing code from local environments to production with ability to roll back.
• Release engineering: Contribute to unified tooling and methodology for CI/CD and increasing production delivery
• Scaling and performance tuning: Benchmark, scale and tune application and data services based on testing with identified tools or code written in-house (Note: tuning involves systems kernel parameters, data service options, etc. Not software changes)
• Software Configuration Management: Architecting and maintaining environment specific configuration management for applications
• Cloud security: Contribute to security operations for application development and cloud resources, including assessing impact to current systems
• Create and leverage dashboards populated with time series data to capture the state of our applications
• Work cross functionally to support your internal customers

Requirements

• 7+ years of production experience in either a high uptime or high throughput cloud environment
• Strong team player collaborating with your team members & cross functional team to address the business needs
• 2+ years of AWS experience across a range of services including EC2, Auto Scaling, Lambda, RDS
• Strong problem solver with critical thinking skills
• Self-starter who collaborates well and has a strong sense of urgency to resolve production issues
• Strong communication skills to work and share knowledge with other team members
• DevOps and automation mindset
• Operational experience with Apache products
• Experience deploying and managing big data pipeline systems (Elasticsearch, Spark, Kafka, NiFi)
• Familiarity working with multiple programming languages and runtimes for application containerization and deployment (Java, Scala, NodeJS, Python)
• Systems administration experience with Linux running on AWS services
• Experience administering CI/CD and build tools like CircleCI or AWS CodeBuild, as well as working with artifact storage platforms
• Experience in writing scripts in Python and Bash to support automation efforts
• Experience with container orchestration platforms (Elastic Container Service, Kubernetes) is highly desirable
• Expertise in infrastructure capacity planning, AWS cost management using tools like Cloudhealth
• Comfortable with being on-call and able to resolve issues in a timely manner
• Familiarity with monitoring toolsets like DataDog or Dynatrace