Site Reliability Engineer Cloud, Infrastructure and ITOps

Are you looking for a career that makes a positive difference in your life and in the lives of learners and educators across the globe? Our team believes in inspiring educators and unlocking the potential in every student. Our adaptive learning platforms utilize AI to offer recommendations, remediations and more to better the outcomes of students around the globe. Think of it, when someone asks you what you do for a living you could say, "I work on software platforms that help the world's youth learn." Talk about a rewarding way to use your engineering skills!

We are hiring a Senior Site Reliability Engineer to build and support reliable infrastructure for teams across the company. On our SRE team, you will help operate our AWS EKS and Databricks platforms, improve their security and observability, and partner with application and data teams to resolve production issues and make services easier to run.

This position is a full-time contract position. If you have an automation mindset, know AWS services inside out, have distributed system / microservice experience, can triage complex cloud / application stack issues, like to solve engineering problems and lead by example, then you will thrive in this position.

• You are a strong communicator, both verbally and written
• You take ownership for the quality of your individual efforts
• You have proven experience building and managing large-scale cloud systems and tools in AWS in repeatable and maintainable ways (zero downtime)
• You have experience as an SRE/DevOps professional working on n-tier AWS architecture
• You are adept at authoring, reviewing, and deploying Terraform, including modules
• You have hands-on experience maintaining, triaging, and managing Kubernetes
• You treat people with respect, have a good sense of humor and are non-abrasive
• You are constantly reading and learning, ever the consumer of knowledge

• 5+ years of experience preferred
• Strong expertise in:AWS

Amazon EKS (Elastic Kubernetes Service), the primary focus

Terraform (must be very strong)

Backend/platform engineering

Kubernetes cluster build, maintenance, and upgrades

• SRE/Platform Engineering background preferred
• Databricks experience is not required and is considered a bonus
• Experience with security tools such as Rapid7 is not mandatory
• Security awareness and understanding of security best practices are expected

• A senior AWS/EKS platform engineer with 5+ years of experience, strong Terraform skills, hands-on experience building and managing Kubernetes/EKS clusters at scale, and the ability to collaborate effectively with multiple engineering teams
• Databricks experience is a bonus but not a requirement

• Hands-on experience operating or supporting AWS EKS in production, including troubleshooting Kubernetes workloads, networking, and cluster health
• Experience supporting Databricks workloads or platform services, or a strong foundation in data platforms with an interest in developing Databricks expertise
• Experience using Terraform to deliver repeatable infrastructure changes and improve platform reliability
• A collaborative approach to supporting other engineering teams, investigating incidents, and turning recurring support work into automation and runbooks

• Experience as a Software Engineer, Software Developer in Test, SRE, or DevOps Engineer with practical experience developing and/or supporting enterprise applications
• Experience with infrastructure automation technologies like Terraform (3+ years of everyday use preferred)
• Expertise in container/container-fleet-orchestration technologies, specifically EKS and/or ECS
• Versatility troubleshooting diverse sets of hosting technologies: web server platforms, application platforms, operating systems, network components, virtualization technologies, storage, and database platforms
• Expertise with continuous-deployment based software development lifecycles (e.g. CI/CD)
• Cloud database operations and deployment experience (RDS MySQL/Postgres/Aurora)
• Expertise with Lean/Agile deployment processes (Blue/Green, ZDT, Canary, DNS migration strategies)
• Familiarity with telemetry SaaS systems like New Relic and Datadog or similar systems from other vendors
• Strong problem solving, triage, root cause analysis and systems engineering skills
• Demonstrated expertise building and managing highly scaled production infrastructure in the cloud
• Experience with AI tooling and integrations, including AI assistants and productivity tools (Copilot, Claude, ChatGPT, etc.)

• Our team is a polyglot organization. Being "conversational" in JavaScript/TypeScript, Python, PHP, Ruby, Golang, Java, Bash, Markdown, reStructuredText, HCL, JSON, YAML, and TOML is a huge plus
• BS degree in Computer Science (or related technical field and/or equivalent industry experience) preferred

• Designing, building, and maintaining Kubernetes releases using established Terraform patterns, with attention to security, observability, and operational readiness
• Supporting teams using EKS and Databricks, including production triage, root-cause analysis, and improvements to monitoring and documentation
• Ensuring repeatability, traceability, and transparency of our infrastructure automation (infrastructure-as-code, monitoring-as-code)
• Evaluating emerging Kubernetes capabilities, such as EKS Auto Mode, Karpenter, and Argo CD, and identifying where they could improve the platform
• Supporting on-call rotations for operational duties that have not been addressed with automation, with an eye for correcting issues that result in on-call alarms, and reducing recurring alerts and manual operational work through automation
• Maintaining telemetry that improves visibility into our applications' performance and business metrics and keeps operational workload in check
• Supporting healthy software development practices, including complying with agile software development methodology, performing code reviews, work packaging, and continuous delivery
• Participating in failure injection and chaos testing efforts
• Observing and documenting steady state production levels and growth patterns
• Coordinating improvements of existing software and infrastructure to meet resiliency goals

• Clouds: AWS, Azure, Oracle
• We support the shared AWS EKS and Databricks platforms supporting application, analytics, and data teams across the company, along with some disparate analytics systems in Oracle cloud and possibly Azure
• AWS Cloud Tech: AWS (S3, EC2, ECS, EKS, SQS, Elasticache Redis, Elasticache Memcache, Elasticache Valkey, RDS, Aurora RDS, OpenSearch/Elastic Search, DynamoDB, Athena, Route53, WAF, IAM, CloudFront, Load Balancing, ACM, VPCs, Lambda, API Gateway, VPC Endpoints, Routing Tables, SES, SNS, Bedrock, Glue and more)
• Infrastructure as Code: Terraform
• RDBMS: MySQL, PostgreSQL, Aurora, including connection pooling technologies like Sequelize
• Caching: Valkey, Redis, Memcache, DynamoDB
• Languages: Python, NodeJS, Java, Golang, PHP, Bash
• Container orchestration: AWS ECS, AWS EKS, Docker
• Telemetry: NewRelic, CloudWatch, Datadog, Splunk
• Build/Deploy/Run: GitHub Actions, Artifactory, GitHub Cloud, PagerDuty, Slack, ServiceNow, Exigence
• Security: Rapid7 InsightAppSec, Crowdstrike, 1Password, DivvyCloud (Insight Cloudsec), Security Scorecard, WAF, Dependabot, Checkov, GitHub Advanced Security scanning, secret scanning, VDP
• Task Management: JIRA
• Documentation/Knowledge: Confluence, Office365, DX

• 2 rounds of interviews
• One with the hiring manager (1:1)
• Panel interview with the TPM team