Senior Infrastructure Engineer Redis
Senior Infrastructure Engineer Redis
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Job Description
About Workato
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Its AIpowered platform enables teams to navigate complex workflows in realtime driving efficiency and agility.
Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fastchanging world. Learn how Workato helps businesses of all sizes achieve more at workato.
Why join us
Ultimately Workato believes in fostering a flexible trustoriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But we also believe in balancing productivity with selfcare. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley please submit an application. We look forward to getting to know you!
Also feel free to check out why:
Business Insider named us an enterprise startup to bet your career on
Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Quartz ranked us the #1 best company for remote workers
Responsibilities
As a Storage Infrastructure Engineer you will be responsible for designing building operating scaling maintaining and evolving Workato enterprisegrade storage infrastructure. You will work closely with all engineering & infrastructure teams in Workato leading our global storage story for different use cases scenarios enterprisegrade real time latencycritical requirements and global scale. You will work closely with the engineering leadership team and will have a direct longterm strategic impact on modernization and evolution of the Workato architecture. You are the expert in different distributed storage systems know how to use them effectively and understand internals and deep principles behind. At the same time it is a handson role so there is expectation of the significant contribution to storage infrastructure as code monitoring continuous analysis of slow requests and trends insights reliability and upgrades. We expect from all Workato engineering roles: deep knowledge & understanding of computer systems desire & love to go to the lowest level of the details troubleshooting using modern techniques and tools.It is required to have practical experience with modern infrastructure building tools and principles such as IaC knowledge and experience of running distributed storage systems in cloud (AWS preferred) and container orchestration systems (kubernetes is mandatory) in highly reliable highly scalable manner. One expectation is great understanding of reliability and availability in terms of nines for different use cases knowledge of architecture & design patterns and procedures for different numbers of nines. Knowledge and experience of storage security auditability and compliance requirements are highly desired.
Workato storage layer is the most missioncritical highly loaded distributed infrastructure. It is based on industry leading mature technologies such as PostgreSQL Redis Clickhouse MySQL/MariaDB deployed in selfhosted or vendor managed (e.g. AWS Aurora) version.
We are currently working on scaling upgrading automating securing modernizing the storage layer to meet new requirements of rapidly growing business such as:
Automate storage maintenance to fully eliminate manual work
Support zerodowntime DB upgrades
Support massive compute scale: thousands of network clients (up to hundred applications)
Bringin proper observability & monitoring
Scale storage up to 5x10x in short term
Redesign storage architecture for longer term scalability up to 100x times
Keep cost under control in predictable manner
Take ownership of distributed storage story and be center of distributed storage expertise
Requirements
Qualifications / Experience / Technical Skills
5 years of trackable work experience with deploying and supporting highly scalable distributed enterprisegrade inmemory data stores.
Production experience operating maintaining troubleshooting and scaling clustered Redis environments such as ElastiCache Valkey Redis Enterprise or selfmanaged Redis clusters with highavailability configurations
Great knowledge and understanding of the Valkey/Redis ecosystem including Redis modules Sentinel Redis Cluster client libraries and complementary technologies like Envoy for Redis proxy capabilities
Experience with Redis memory optimization eviction policies data expiration strategies and overall cost optimization and capacity planning
Experience with zerodowntime major version upgrades and migrations of heavily utilized Redis instances supporting critical application workloads
Experience with vendorspecific implementations of Redis such as AWS ElastiCache Azure Cache for Redis and Redis Enterprise
Understanding of compliance certification auditability security authentication methods and access controls for Redis systems
Experience increasing reliability and availability for Redis deployments through architecture redesign proper sharding strategies persistence configuration and implementation of Redis Cluster or Redis Sentinel
Experience building proper observability monitoring alerting and logging for Redis health. Ability to troubleshoot performance bottlenecks in distributed Redis deployments including memory fragmentation network issues and slow commands.
Experience managing complex Redis infrastructure in the cloud (in Kubernetes clusters AWS cloud) using Infrastructure as Code tools (Terraform is highly preferred).
Experience deploying stateful Redis instances into Kubernetes with modern tools like Kustomize Helm ArgoCD etc.
Experience with AWS cloud computing (EC2 ElastiCache EKS Route53 VPCs Subnets Route Tables).
Basic knowledge of one or more highlevel programming languages such as Python Go. Basic knowledge of Ruby and Redis client libraries readiness to read Ruby monolith
Experience implementing comprehensive performance testing methodologies for Redis deployments
Demonstrated ability to develop clear actionable Redis best practice documentation for development teams including usage guidelines implementation patterns and configuration standards.
Experience building crossregional Disaster Recovery Redis solutions with low RTO/RPO targets (from hours to minutes). Experience designing and implementing geodistributed Redis deployments with activeactive replication.
Soft Skills / Personal Characteristics
Good communication and collaboration skills in international technological companies
Readiness to work remotely with teams distributed across the world and timezones
Interest in modern big distributed storage technologies architectures
Good Spoken English to participate in productrelated architectural and technical discussions
Proper balance between being handson and deeper analytical approaches
(REQ ID: 1955
Required Experience:
Senior IC
Employment Type
Full Time
