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BigID
Posted 13 days agoVerified live 12h ago

Professional Services Engineer

Brief overview

Remote
UndergradOr in progress
$90k–$110k/yrStated range
3+ yrsMinimum
Solution Implementation and DeploymentDockerKubernetesDatabase TechnologiesAWSAzureGoogle Cloud PlatformREST APIsJavaPythonSaaS ImplementationClient Stakeholder ManagementTechnical Training

About the company

Data intelligence for security, privacy, and AI governance.

Job description

Summary

BigID is a technology company focused on data security, compliance, privacy, and AI data management. The Professional Services Engineer will lead customer implementations, configure and deploy BigID solutions, troubleshoot deployment issues, deliver technical training, and collaborate with Engineering and Product Management to improve rollouts.

Responsibilities

  • Partner directly with client stakeholders to understand technical requirements and align them to business objectives
  • Plan and lead implementation engagements — deploying solution components and configuring the product to meet each client's specific environment
  • Collaborate across internal teams and client organizations to ensure smooth rollout and successful integration of BigID solutions
  • Deliver technical training tailored to the audience, from hands-on admins to executive stakeholders
  • Identify root causes of deployment issues and drive them to resolution
  • Work closely with Engineering and Product Management to document field issues, enhancement requests, and opportunities to improve the implementation process

Skills

  • 3+ years in a customer-facing technical role, ideally in product implementation or hands-on deployment within enterprise environments
  • Solid troubleshooting and operational knowledge across some combination of: Compute, Storage, Networking, Databases, DevOps, Big Data/Analytics, Security, and Application Development
  • Proven experience across the full solution lifecycle: problem identification, system architecture, hardware/software specification and design, implementation, testing, client training, and deployment
  • A proactive mindset — you look around corners for both internal and customer challenges before they become blockers
  • Hands-on experience with Docker and Kubernetes deployments
  • Working knowledge of one or more databases: MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, or IBM DB2
  • Experience with a major cloud platform: AWS, Azure, or Google Cloud Platform
  • Experience working with REST APIs
  • Programming or scripting proficiency in Java or Python
  • All candidates must be legally authorized to work in the United States
  • Must be able to exercise independent judgment with little or no oversight
  • Familiarity with Hadoop (Hive/Spark)
  • Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools
  • Prior SaaS implementation experience

Qualifications

Must Haves

  • 3+ years in a customer-facing technical role, ideally in product implementation or hands-on deployment within enterprise environments
  • Solid troubleshooting and operational knowledge across some combination of: Compute, Storage, Networking, Databases, DevOps, Big Data/Analytics, Security, and Application Development
  • Proven experience across the full solution lifecycle: problem identification, system architecture, hardware/software specification and design, implementation, testing, client training, and deployment
  • A proactive mindset — you look around corners for both internal and customer challenges before they become blockers
  • Hands-on experience with Docker and Kubernetes deployments
  • Working knowledge of one or more databases: MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, or IBM DB2
  • Experience with a major cloud platform: AWS, Azure, or Google Cloud Platform
  • Experience working with REST APIs
  • Programming or scripting proficiency in Java or Python
  • All candidates must be legally authorized to work in the United States
  • Must be able to exercise independent judgment with little or no oversight

Nice to Haves

  • Familiarity with Hadoop (Hive/Spark)
  • Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools
  • Prior SaaS implementation experience

Benefits

  • Work from home with a global remote-first community
  • Global Culture Corner
  • Flexible PTO and Quarterly Volunteer Days
  • Equity Participation
  • 100% employer-covered medical, dental, and vision options available to you
  • Additional insurance benefits like pet insurance and legal assistance
  • Learning & Development Opportunities
  • Fidelity Employer Sponsored 401K
  • Paid Parental Leave

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