Site Reliability Engineer
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
The Data Reliability Engineer supports the design implementation and ongoing improvement of cloud-native containerized infrastructure that powers our data products and services. This role contributes to the reliability scalability security and operational health of our data ecosystem while working closely with more experienced engineers and cross-functional teams.
In this role you will help maintain and enhance platforms and services used across the Data organization. You will participate in day-to-day engineering efforts support production operations assist with automation and infrastructure improvements and contribute to the successful delivery of data platform capabilities.
You will work with a modern data stack that includes Data Services running on EKS such as Superset Trino Apache Doris ClickHouse OpenMetadata and other platform components as well as Databricks (Spark jobs) Airflow and other Big Data technologies. The team is also expanding into new areas including helping deploy and implement AI agents providing opportunities to contribute to innovative solutions at the intersection of data and AI.
This is a strong opportunity for an engineer with a solid technical foundation who is eager to grow skills in cloud infrastructure platform engineering data systems and reliability practices in a collaborative environment
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
- 3 years hands-on experience designing and operating cloudnative infrastructure ( AWS / Azure / GCP )
- Bachelors degree in Computer Science Engineering or a related field (Desirable but not mandatory).
- Knowledge of Infrastructure as Code (Terraform) including contributing to reusable modules and platform components.
- Good understanding of Kubernetes and container orchestration concepts.
- Familiarity with CI/CD systems pipeline configuration automation and secure deployment practices.
- Foundational competencies in reliability engineering concepts (SLOs error budgets incident response).
- Basic understanding of database technologies including SQL NoSQL and common data storage patterns.
- Experience using observability tools and stacks (Prometheus Grafana OpenTelemetry ELK/EFK Datadog or similar).
- Basic automation experience using Bash Python or Ansible-like tools.
- Working knowledge of software engineering practices including version control testing code reviews and common design patterns.
- Experience participating in on-call rotations incident response and post-incident reviews.
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
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
