Short Description
Goldman Sachs is looking for a DevOps Engineer who has experience with Cloud and Infrastructure as Code technologies - AWS, Terraform, Docker, Kubernetes, etc.Job Description
- Systemize, automate, or eliminate recurring tasks and issues
- Ensure runtime environments are correctly configured and modeled in terms of infrastructure and software topology
- Ensure SDLC platforms are current, standardized, scalable, available, and resilient
- Design component, as well as integration architecture for large scale distributed applications
- Engage with internal development teams to provide timely end-to-end delivery of appropriate platform solutions
- Follow best practices throughout the SDLC process
- Partner with engineering teams to understand technology offerings and how they can be applied to solve business problems
- Provide technical guidance on established best practices to the technology and business communities
- One who enjoys working in a progressive, team-oriented environment
- Hungry to learn new approaches and technologies
- Passionate about managing operational risk
- Pragmatic in weighing approach trade-offs
- Keen to work with equally motivated colleagues across the globe
- 3.5+ of industry experience. Bachelor's Degree or higher.
- Prior experience in a Devops, SRE, Infrastructure, or System Admin role.
- Experience with Cloud and Infrastructure as Code technologies - AWS, Terraform, Docker, Kubernetes, etc
- Familiarity with continuous integration, deployment pipelines, monitoring solutions
- Proficiency in one or more of the following: Go, Python, C, C++, Java, Perl, Ruby, or shell scripting
- Comfortable managing multiple stakeholders, driving consensus and influencing outcomes, strong problem solving and analytical skills
- Excellent communication skills, self-directed, ability to prioritize and escalate issues
- Working knowledge of using Gradle, Maven, SVN, Postgres, and Atlassian products (e.g. JIRA)
- Degree qualification in Computer Science or related field
- Prior experience with the Prometheus/Grafana monitoring stack
- Prior operational experience with GitLab Enterprise Edition
- Experience with continuous deployment
- Experience with large scale data processing tools like Elastic Search and add-on tools like Kibana, Logstash
DevOps Engineer