Staff Site Reliability Engineer - Cybersecurity AI
Staff Site Reliability Engineer - Cybersecurity AI
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
As part of the Visas Cybersecurity AI Center of Excellence our team is focused on developing operating and driving the success of innovative analytics products that protect against cyber criminals and fraudsters. Leveraging the latest advancements in AI and machine learning we work collaboratively with other cyber & risk teams to ensure our cybersecurity solutions align with customers business objectives and deliver real-world impact. Team members are involved in all aspects of the product lifecycle from initial planning and development to deployment monitoring and continuous improvement. We are committed to fostering a culture of research knowledge sharing and operational excellence.
Essential Functions:
Design build and maintain scalable reliable and secure infrastructure and services.
Develop automation tools to reduce manual work and improve system efficiency.
Monitor application and infrastructure performance using observability tools. Set up alerts and dashboards.
Participate in on-call rotations respond to incidents and perform root cause analyses.
Collaborate with development teams to improve deployment pipelines (CI/CD) and ensure safe rapid delivery of features.
Work with the engineering teams to plan review and execute production releases.
Identify system bottlenecks and optimize for performance.
Conducted root cause analysis and post-incident reviews to drive continuous improvement in system reliability and performance.
Contribute to security and compliance efforts.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.
Preferred Qualifications:
6 or more years of work experience with a Bachelors Degree (Computer Science) or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD.
2 years of experience in SRE DevOps or related roles.
Hands-on experience with SRE automation tools such as Terraform Ansible Jenkins Kubernetes.
Proficiency in at least one programming language (e.g. Python Go Java).
Strong skills in Linux/Unix system administration and networking.
Hands-on experience with cloud platforms (AWS GCP Azure) and container orchestration (Kubernetes Docker).
Experience with distributed systems and microservices.
Experience with monitoring logging and alerting tools (Splunk Prometheus Grafana ELK etc.).
Familiarity with database management (SQL/NoSQL).
Familiarity with version control systems (e.g. Git Bitbucket).
Experience with encryption technologies key management and SSL/TLS certificate management.
Excellent troubleshooting and problem-solving abilities.
Strong communication and collaboration skills.
Exposure to Agile/Scrum methodologies.
AWS Certified
Experience with AI/ML concepts and technologies
Cybersecurity domain knowledge
Experience with using latest GenAI tools
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
