The Opportunity
 

Planview is looking for a passionate DevOps engineer to join our team innovating tools for
connected work. You will be part of the AI team working closely with Data scientists, Data & MLOps
engineers, to help deploy, scale, and monitor AI services with a consistent customer experience
across the Planview product suite

What You'll Do
 

• Work on a team with a fast-paced start-up mindset
  Build and manage infrastructure to productize AI/ML features and services
  Develop platforms that make data across applications/application deployments available for AI/ML-driven feature prototyping, proof-of-concepts, and GA
• Develop, maintain, and operationalize service and model deployments leveraging CI/CD
  and Infrastructure as Code best practices
• Responsible for on-call support to remediate production infrastructure issues.
• Work on various aspects of operations - logging, infrastructure automation, cloud cost
  optimization, security, scaling, deployment, monitoring and maintenance, etc.

What You'll Bring
 

• Bachelor’s degree in CS or a related field
  4+ years of experience in an operations role, building and managing infrastructure.
• Experience with configuration management and Infrastructure as Code (Terraform, CloudFormation)
• Experience with CI/CD pipelines (GitHub actions) and managing SDLC environments (Dev, Test, Staging, Prod)
• Hands-on experience with observability tools/services (AWS CloudWatch, Datadog, SumoLogic)
• Ability to manage large-scale production workloads in the public cloud (AWS)
• Practical knowledge of containers and delivery of services via containers (Docker, K8s, ECS)
• Familiarity with deploying and monitoring AWS serverless services (API Gateway, Lambda)
• Adhere to and uphold SLAs, ensuring the uptime of production services

Preferred qualifications:

• Exposure working for Data Science / AI team deploying AI models and services
• Exposure to Data Science related orchestration tools (Kubeflow, etc), and MLOps tools
  (AWS SageMaker Experiments, SageMaker Monitoring, MLflow, Seldon, KServe, etc.)
• Demonstrated experience deploying and monitoring data and analytics pipelines/services
  that efficiently scale for cloud application usage meeting SLAs for performance and resilience
• Skilled at working as part of a global, diverse workforce of high-performing individuals
• AWS Certification in the tools and technologies mentioned above

Benefits at Planview
 

At Planview, you’ll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:

• Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
• Generous PTO offerings (region dependent).
• Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
• Paid time to volunteer through Planview’s Force for Good Week.
• Employee Referral bonus program.
• Weekly office lunches for hybrid team members and social events.
• Flexible work hours/environment.

Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!