Platform Engineer: Kubernetes
SupabaseSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Data Privacy, AIIndustries
Requirements
- 5-7 years of experience as a DevOps Engineer
- Hands-on experience in Kubernetes and Docker
- Experience in Python/Bash/Groovy
- Solid grasp of software development life cycle, best practices, and methods across multiple teams: Agile development, DevOps, CI/CD, Kubernetes, team leadership, and mainly test automation
- Experience with at least one of Jenkins, GitLab CI, or GitHub Actions
- Experience with Jira, Confluence, Git, AWS, Dockers, relational and non-relational DBs
- Experience working with AWS and GCP cloud platforms in a production environment
- Hands-on experience with Terraform (preferably managed via env0 or similar tooling)
- Experience with Datadog for building monitoring solutions, metrics, and dashboards
- Excellent communication skills for documenting and connecting with other groups
- Ability to explore and initiate new ideas, think, and learn independently
- Advantages
- Experience in REST API automation and testing methodologies
Responsibilities
- Take CI/CD to the next level
- Develop and debug on top of the Kubernetes infrastructure
- Improve cloud-native Terraform modules
- Research new technologies and provide overall technical direction for the team
- Plan and push to close the automation backlog
- Communicate with teams across the organization on testing strategy and design
- Propose improvements to the testing process to decrease defects found in production
- Work closely with R&D teams in an Agile environment
- Own SRE responsibilities for AWS and GCP environments, including ensuring the availability, scalability, and reliability of production services
- Manage and evolve infrastructure as code using env0 for Terraform workflows
- Design and implement monitoring, metrics, and dashboards using Datadog to ensure observability and proactive incident management
Skills
DevOps
Containers
Microservices
Automation
CI/CD
Infrastructure
BigID
Data management and security platform provider
About BigID
BigID provides a platform for businesses to scan, classify, and inventory their enterprise data, regardless of its storage location, including cloud and on-premises data centers. The platform helps organizations understand and manage their data, allowing them to monitor and reduce data risks, which enhances their overall data security. BigID's services are designed for companies that handle large volumes of data and prioritize data privacy and protection. Unlike many competitors, BigID's platform is versatile and can be integrated throughout a business's ecosystem, enabling better decision-making regarding various data types, including unstructured, structured, and semi-structured data. The company's goal is to be a leader in data security posture management, helping clients improve their data management practices while ensuring compliance with privacy regulations.
New York City, New YorkHeadquarters
2016Year Founded
$297.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, CybersecurityIndustries
501-1,000Employees
Benefits
Remote Work Options
Unlimited Paid Time Off
Health Insurance
Dental Insurance
Vision Insurance
Company Equity
Professional Development Budget
Paid Parental Leave
Pet Insurance
Risks
Emerging data privacy startups may challenge BigID's market share.
BigID's reliance on AWS could pose risks if AWS policies change.
Global data privacy regulations' complexity may strain BigID's resources.
Differentiation
BigID offers real-time Data Activity Monitoring, surpassing traditional DDR tools.
BigID's AI risk management addresses security concerns in AI technologies.
BigID's AWS Graviton Ready designation optimizes data scanning and reduces costs.
Upsides
BigID's partnership with AmiViz expands its market in the Middle East.
Enhanced AWS integrations improve BigID's appeal to AWS-reliant businesses.
BigID's inclusion in Deloitte Technology Fast 500 highlights its rapid growth.
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