FedRAMP DevOps Engineer, Cloud Operations
Location: San Diego, California US
Requisition Number: 209034
Position Title: DevOps Engineer (III)
FedRAMP DevOps Engineer, Cloud Operations
Location: San Diego, CA
Teradata is seeking a DevOps Engineer to join our Cloud organization and leverage their technical acumen to design, develop, implement, and support Teradata’s federal government Cloud solutions.
This role is open to US citizens residing within the US only.
- Responsible for supporting Identify and Access Management (IAM) and Privileged Access Management (PAM) in accordance with FedRAMP, and NIST 800.53 standards
- Improve system monitoring and observability through log analysis, dashboard creation, and automated alerts based on established service level objectives (SLO) and service level agreements (SLA)
- Work with Cloud and security architecture teams in specifying technical requirements to support shared components deployed according to DoD RMF and Mil-Spec requirements
- Build automation frameworks and systems to improve time to delivery using modern CI/CD systems
- Review and update the FedRAMP System Security Plan (SSP), policies, and procedures as needed
- Perform and improve operational functions, such as reliability and maintenance of productions systems
- Identify opportunities to leverage automation to improve security and build the tools necessary to execute improvements
- Participate in on-call for escalated support of production customer and systems
- Meet the requirements needed to obtain a US Security Clearance
- 5+ years of Cloud Operations / Engineering experience
- 3+ years of experience with a strong focus on automation in a large-scale SaaS environment
- Strong knowledge of NIST 800-30, 800-37, 800-53, and FIPS 140.2 publications
- Previous experience working within government compliance standards including FedRAMP, FISMA, and DoD RMF required
- Strong hands-on system administrator experience on public cloud platforms on at least one of the big three (Google Cloud, AWS, and Azure) required
- Experience with automated configuration management and deployment using tools such as Ansible, Puppet, Chef, and Python required
- Experience with automated test and build systems such as Jenkins, Maven, Ant preferred
- Experience with Monitoring and reporting tools such as DataDog, New Relic, Nagios, and Graphite
- Experience working in a hybrid environment preferred
- CCSP, PCI QSA, CISSP, or CISA certifications a plus
- Bachelor’s Degree in computer science or related field preferred
- Teradata experience is a plus
CountryEEOText_Description: Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
City: San Diego
Community / Marketing Title: FedRAMP DevOps Engineer, Cloud Operations
Job Category: Engineering
We’re conducting virtual interviews to keep our candidates and employees safe. Many roles will be temporarily remote or work from home, while others will remain remote. Read more on our response here: Teradata Response to COVID-19.
Teradata helps businesses unlock value by turning data into their greatest asset. We’re the cloud data analytics platform company, built for a hybrid multi-cloud reality, solving the world's most complex data challenges at scale. Collectively, we endeavor to serve equal parts innovator and contributor. Because our mission isn’t just about the collection of data – it’s about revolutionizing the future of transportation to save lives, optimizing energy costs to make the planet a cleaner place, and using data to predict and identify cancer risks.
Location_formattedLocationLong: San Diego, California US