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.
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 seeking a Senior DevOps Engineer to join our Infrastructure: CI/CD team. Our stack (some parts of it anyway): AWS, Kubernetes, Terraform, ArgoCD, Argo Workflows, Argo Events, GitHub Actions, Kustomize, Helm, Packer, Kafka, Clickhouse, RoR, GO, etc.
If you are seeking a real challenge involving mission-critical tasks, multi-geographic region deployments, diverse managed services, and the opportunity to work with cutting-edge technologies, this might be the perfect position for you!
In this role, you will also be responsible to:
Cloud-Native CI/CD Development: Participate in building a modern, cloud-native, scalable, flexible, and extensible CI/CD solution for the entire Workato application ecosystem, focusing on optimized cost, health, stability, minimal build time, security, and compliance, with a reduced on-boarding time.
Automation Improvements: Identify and drive opportunities to enhance automation for code integration, quality testing, security scanning, and deployment.
CI/CD Solution Maintenance: Maintain and enhance the current CI/CD solution for Workato applications, emphasizing health, stability, and minimal build time, following a GitOps-like approach.
Pipeline Implementation: Implement pipelines to automate security, reliability, and availability best practices at all stages of the software lifecycle.
Complex Deployment Scenarios: Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, and chaos engineering.
Load Testing Infrastructure: Create and manage infrastructure for automating load test scenarios and streamlining their execution to catch performance regressions before production.
Engineering Collaboration: Work with engineering teams to address needs, enable more effective and efficient developer throughput, and improve services through rigorous testing and release processes.
On-boarding to CI/CD Platform: On-board Workato components and applications to the CI/CD platform.
Metrics Analysis: Gather and analyze metrics from CI/CD pipelines and infrastructure to assist in performance tuning and stability improvements.
System Design and Architecture: Participate in system design consulting, platform management, and architecture reviews.
Documentation and Best Practices: Document development processes and best practices.
Continuous Improvement: Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
7+ years professional experience in hands-on engineering roles (DevOps/SRE), BS or MS in the CS field (or equivalent experience).
1+ year of experience with hosting AI models (ML flow, AWS sagemaker, Azure AI, kubernetes)
1+ year of experience with ML Ops (ML flow, vector databases (qdrant), dagster)
Kubernetes Expertise: Strong experience managing Kubernetes clusters and workloads, specifically using EKS (Elastic Kubernetes Service).
Programming Skills: Proficiency in Python language is essential. Ability to program in other languages such as Go, Ruby, or JavaScript is a plus.
CI/CD Tools: Experience creating scalable development and integration pipelines using CI/CD tools such as GitHub Actions, Argo Workflows, GitLab CI, or similar solutions.
Kubernetes Deployments: Expertise in deploying Kubernetes-based services using tools like Kustomize, Helm, ArgoCD, or similar, following a GitOps approach.
Cloud Architectures: Hands-on experience with cloud-based architectures, particularly Amazon Web Services (AWS).
Networking and Web Services: Strong understanding of networking fundamentals and web services architecture.
Infrastructure as Code: Experience managing complex infrastructure, including Kubernetes clusters, VPC networking, and security policies, using Infrastructure as Code tools like Terraform.
Containerization: Hands-on experience with containers, including creating and optimizing Dockerfiles, using docker-compose, and a deep understanding of related technologies (kernel features, container networking, image structure, and registry).
Software Packaging and Testing: Familiarity with software packaging tools, functional testing, security validation tools and services, and code coverage tools.
Compliance and Security: Operating Kubernetes clusters in compliance-regulated environments and understanding kernel-level container technologies such as seccomp, namespaces, and cgroups.
Security Regulations and Compliance: Experience with cloud and infrastructure security regulations and compliance programs, including SOC2, ISO27001, HIPAA, GDPR, and CCPA.
Good communication and collaboration skills in international technological companies
Readiness to work remotely with teams distributed across the world and timezones
Good Spoken English to participate in product-related, architectural and technical discussions
