Site Reliability Engineer I

POSITION SUMMARY

The ideal candidate will have 5+ years of experience in Linux systems and software management, expertise with Terraform, Ansible, and cloud platforms like AWS, Azure, and GCP. Experience with large-scale distributed systems, monitoring/alerting systems (Prometheus, Grafana), CI/CD pipelines, container orchestration (Docker, Kubernetes), and programming languages (Go, Java, Python) is essential. A background in implementing security controls, automating deployments, and troubleshooting complex systems is also required.

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WHAT YOU'LL DO

• Deploy and maintain a resilient, secure, and efficient SaaS application platform to meet established SLAs.

• Automate, monitoring, management and incident response to achieve an auto-remediation system.

• Monitor site stability and performance and troubleshoot site issues.

• Participate in on-call rotation to ensure stability and uptime for our platforms.

• Scale infrastructure to meet rapidly increasing demand.

• Collaborate with cross-functional teams working with Engineering, Product, Services, and other departments.

• Collaborate with developers to bring new features and services into production.

• Independently design and develop tools to aid in operations and automation as well as work jointly with other team members to deliver innovative solutions to complex business and technical challenges.

• Provide deployment and operations support for multi-tiered distributed software applications.

• Estimate engineering effort, plan implementation, and rollout system changes that meet requirements for functionality, performance, scalability, reliability, and adherence to development goals and principles.

• Collaborate in a fast paced environment with multiple teams (software development, release management, build and release, etc...).

• Collaborate in a fast paced environment with multiple teams in a dynamic entrepreneurial organization

• Defining how the behavior of large scale systems can be achieved

• Measuring and achieving reliability through engineering and operations work

• Monitoring and alert development, documentation and management with the goal of creating an auto-remediation system

• Adapting security controls to product not typically native to GA releases

• Developing automation methods to extend standard deployment pipelines for bespoke implementations

• Patching, policy enforcement, and audit of production systems

• Driving the Disaster Recovery process

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WHAT YOU'LL NEED

• Expertise with Infrastructure-as-Code such as Terraform.

• 5+ years of professional Linux systems and software management experience 

• Knowledgeable with code languages including: Go, Node.js, Java

• Experience with managing  infrastructure within Azure, GCP and AWS 

• Expertise with monitoring and alerting systems including Prometheus, Grafana

• Strong script skills for systems and data driven solutions

• JIRA experience for project/task management

• Extensive experience in troubleshooting large-scale distributed systems.

• Comprehensive background in monitoring and alerting systems in auto-remediation systems including Prometheus, Grafana

• Proven examples of standardizing security controls across large-scale systems

• Comfort working within project/task management platforms.

Systems and Tools

• Cloud platforms including: AWS, Azure, and GCP. 

• Infrastructure coding languages: Terraform, Cloudformation, Ansible, Puppet, Python

• CI/CD: experience working with and supporting build and deploy pipelines and tools: Jenkins, ArgoCD, GitHub Actions, Rundeck

• Datastore Management and Query skills: Postgres, MySQL, MongoDB, MSSQL, ElasticSearch, Solr

• Container orchestration platforms: Docker, Kubernetes, EKS, AKS

• Familiarity with coding languages including: Go, Node.js, Java, Python

• Monitoring/Alerting Tools: Prometheus, Grafana, VividCortex, Runscope, Cloudwatch, Monitor, VictorOps

• OS and Container Hardening: STIG, CIS, SELinux, IPTables, FIPS 140-2, FIPS 140-3

• JSON data structures and database schemas

• API Query language: REST, GQL

Bonus Points If

• Bachelor’s degree in Computer Science or related field

• Have worked in regulated or public sector environments through development and assessment of cloud based solutions

• Worked with, developed, or supported continuous integration/continuous deployment systems

• Have concrete examples ready to present for creating auto-remediation systems

Veritone is a leading provider of artificial intelligence (AI) technology and solutions. The company's proprietary operating system, aiWARE, orchestrates an expanding ecosystem of machine learning models to transform audio, video and other data sources into actionable intelligence. We love to continuously grow while staying ahead of trends and creating structure in an unstructured world. 

If you’ve made it this far and align with our goals, we look forward to reviewing your qualifications!

DISCLOSURE

Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Candidates must possess the right to work in the UK and be able to provide the necessary documentation to verify this as required by UK immigration laws.

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