Responsibilities

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.

Requirements

Qualifications / Experience / Technical Skills

• 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.

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

• Good Spoken English to participate in product-related, architectural and technical discussions

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Last updated on Aug 21, 2024