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Ripple’s Enterprise Data Management & Analytics team is creating scalable data infrastructure to enable a smooth and safe road for scale. As a DevOps Engineer on our data platform team, you will be responsible for setup, deployment, maintenance, and continuous monitoring of data-intensive applications. Your work will directly support the operation of production software while also enabling the developer experience for data engineers and data scientists. You will bring a software engineering approach to positively impact our culture of ownership, reliability, trust and observability across the ever-increasing scope of our Data Platform.

WHAT YOU'LL DO:

• As a DevOps Engineer, you will be maintaining and developing services to support our data driven analytics framework. Architect, deploy, and maintain Ripple’s multi-region, multi-provider service platforms (with an emphasis on security and resiliency)
• Design and develop tools for automation, monitoring, and instrumentation to reduce operational friction and increase engineering efficiency
• Create solutions for unique technical challenges faced by Ripple data infrastructure, engineering and ML teams, secret management, geographic failover, data replication, availability, and platform resiliency, streaming technologies, API Services etc
• Create and automate new and existing platform and application lifecycle services, leveraging data to converge on declared states with minimal human interaction
• Collaborate with data engineering to ensure code is production-ready
• Work closely with developers, data scientists and first level support teams
• Provide occasional after hours on-call support to handle urgent critical issues by working with first level support teams
• Participate in the leadership of DevOps-first principles within the organization
• Research promising new tools and technologies, push the team to experiment and evolve

WHAT WE ARE LOOKING FOR:

• 5+ years of software development and operations experience
• 4+ years DevOps experience in a multi-tenant, highly scalable and highly available environments on GCP and AWS
• 3+ years experience with Kubernetes and infrastructure provisioning tools like (Terraform, CloudFormation)
• 3+ years experience with AWS, Docker containers, and container orchestration (Kubernetes, EKS, etc.)
• 4+ years experience in cloud platform administration (preferably AWS or GCP)
• Solid development background with Go, Python, Java, or C++
• Experience designing and operating large scale, multi-region data Infrastructure platforms
• Experience developing APIs and SDKs
• Experience with data-relevant AWS/GCP services such as RDS, S3, EMR, Kinesis, DynamoDB, and Lambda (or equivalents from GCP or Azure)
• Experience running containerized workloads in production, especially batch workloads
• Experience with container schedulers and runtimes such as Docker, rkt, or OCI running on Kubernetes, Rancher, or Mesos
• Experience building deployment pipelines leveraging common CI/CD tools
• Experience with Infrastructure-as-Code (e.g. Terraform, CloudFormation, etc)
• Experience with real-time telemetry and tracing tools like Jagger and Prometheus, ELK stack (ElasticSearch, Logstash, Kibana, Beats)
• Experience in these or similar tools/tech: Shell, Bash, Python, Java, Git, Jenkins, Maven, Gradle, Kubernetes, Helm, AWS (EKS, EC2, IAM), Splunk, Prometheus
• Experience in tuning and scaling Apache Kafka producer/consumer and Spark structured streaming applications
• Experience setting up LDAP, RBAC, Service Mesh for API’s Gateway for Data Services
• Security awareness, with an emphasis on designing for security best practices, for IT Security, GDPR and SOC2 regulations
• Experience with deploying, supporting data specific infrastructure and tooling like Kafka/Kinesis, Kafka connect/K-SQL, SQL engines like Presto/Athena, schedulers and workflow managing tools like Airflow/Luigi, Memcache/Elasticsearch, service API, streaming application like Kafka Streams/Spark Streaming, etc.
• Familiarity with modern MPP-columnar data warehouse platforms such as Redshift, Snowflake, GreenPlum, ClickHouse (we use Snowflake), BigQuery
• Familiarity with Spark and the Hadoop ecosystem is a bonus

OUR TECH STACK AT A GLANCE:

• Amazon Web Services
• GCP
• Kubernetes and Docker
• GitLab
• Linux
• Terraform
• Java, JavaScript, and Python
• Airflow, DBT, BigQuery
• Hadoop/Impala/Hue
• Kinesis/Spark Streaming

WHAT WE OFFER:

• The chance to work in a fast-paced start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact
• Competitive salary and equity
• 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
• 401k (with match), commuter benefits
• Industry-leading parental leave policies
• Generous wellness reimbursement and weekly onsite programs
• Flexible vacation policy - work with your manager to take time off when you need it
• Employee giving match
• Modern office in San Francisco’s Financial District
• Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
• Weekly company meeting - ask me anything >
• Team outings to sports games, happy hours, game nights and more!