Associate Site Reliability Engineer
Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful.
Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.
We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented 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 self-care. That’s 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
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
We are looking for an exceptional Associate Site Reliability Engineer to join our growing team.
In this role, you will also be responsible to:
Monitoring end-to-end availability and performance of critical services
Independently troubleshoot complex issues and events affecting the entire platform and application stack as well as infrastructure used to managed and deliver the product
Supporting production platform and application related events and incidents
Perform root cause analysis on issues, and participate in blameless post-mortems so we can learn from incidents and automate them out of recurrence
Work with engineering teams to better address needs and enable more effective and efficient developer throughput.
Identify performance bottlenecks and triage with Engineering teams to design and implement a secure and performant solution
On-call activity including the validation and investigation, development requests processing
Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
Partner with development teams to improve services through rigorous testing and release procedures
Qualifications / Experience / Technical Skills
Knowledge administering Kubernetes-based microservices, ingress controllers, web servers (nginx), and databases (Postgres, MySql, MongoDB; Desirable - Redis, Clickhouse)
Experience with AWS technologies such as EKS, ELB, RDS, S3, VPC
Strong troubleshooting experience in the realm of networking fundamentals, web applications, and DNS
Hands-on experience creating automation using scripting languages and/or code
Experience working with modern CI/CD tools such as ArgoCD, GitHub Actions, or similar solutions
Experience with Infrastructure as Code tools (e.g. Terraform, CloudFormation)
Experience with observability, logging and tracing tools like Grafana, Prometheus, Loki, Elasticsearch, CloudWatch, Jagger
Soft Skills / Personal Characteristics
Being in progress of BS or MS from a top-notch CS program (or equivalent experience)
Professional experience in hands-on engineering roles (SRE/DevOps);
Knowledge about operating high-traffic production environments in public clouds: AWS, GCP, or Azure
Programming experience in production environments is enough to create the automation and/or simple services
Experience with modern cloud environments: containerization, infrastructure-as-code, DevOps, CI/CD pipelines and general automation
Hands-on experience with network security, databases systems and related tools
Operating Kubernetes clusters and a good understanding of Kubernetes moving parts basics
Experience performing stress-testing, failure analysis, and load-testing apps