Site Reliability Engineer II, GovCloud

Medallia•Mclean, VA

2d•Hybrid

About The Position

Medallia is seeking a Site Reliability Engineer II to join its growing GovCloud team. This role will focus on operating and improving Medallia’s US public-sector cloud platform, built on AWS GovCloud and Kubernetes, to support federal agencies and other regulated customers in a highly available, secure, and compliant environment. The position is hybrid, based near Tysons, Virginia, offering a blend of in-office collaboration and remote flexibility. The engineer will be a hands-on contributor to production systems, working closely with engineering and security teams, with opportunities for growth in owning larger systems and ensuring platform reliability at scale.

Requirements

Must reside in the United States and be legally authorized to work in the US without sponsorship.
Bachelor’s degree or equivalent experience in Computer Science or a related field.
2+ years of experience in Site Reliability Engineering, platform engineering, DevOps, or related production infrastructure roles (or equivalent hands-on production experience).
Production experience with: Core services (IAM, compute, object storage, encryption/key management) and cloud networking on AWS (strongly preferred), Google Cloud (CGP), Azure, or a similar public cloud platform
Production experience with Terraform or comparable infrastructure-as-code tools
Production experience with Git and CI/CD pipelines
Production experience with Linux and foundational systems concepts (networking, DNS, TLS/certificates)
Production experience with PostgreSQL or another relational database — basic operations (queries, backups)
Familiarity with Kubernetes concepts, container orchestration, and microservices management
Proficiency in Python and/or Go experience to build automation scripts, operational tooling, and infrastructure services.
Experience troubleshooting production incidents, conducting root-cause analysis(RCA), and following change management processes.
Experience participating in a production on-call rotation.
Experience troubleshooting complex technical issues and writing clear documentation, runbooks and incident post-mortems.

Nice To Haves

Experience operating in FedRAMP, AWS GovCloud, or other regulated or compliance-heavy cloud environments.
Familiarity with security and compliance practices such as FIPS and vulnerability management.
Experience with observability and logging platforms in enterprise production environments.
Deep operational expertise with PostgreSQL (HA/replication, tuning, backup and recovery); familiarity with Redis and Kafka.
Experience supporting federal agencies or public-sector customers.
Experience with tools such as Jenkins, Argo CD, and GitHub Enterprise.
Strong collaboration skills and willingness to learn in a compliance-driven environment.

Responsibilities

Build, operate, and improve highly available, secure cloud infrastructure on AWS, including networking, access management, Kubernetes clusters, DNS, certificates, and shared platform services.
Implement, operate and optimize AWS cloud networking, specifically managing VPCs, subnets and routing, security groups/NACLs, VPC endpoints/PrivateLink and load balancing.
Monitor, maintain and support production PostgreSQL — replication, backups and recovery, routine performance tuning, and upgrades — as part of the platform's data tier.
Monitor production systems, respond to incidents, and drive fixes that improve reliability and reduce repeat issues.
Develop and maintain Infrastructure-as-Code (primarily Terraform) and Kubernetes deployment workflows using Git, CI/CD, and GitOps practices.
Improve observability across metrics, logs, and uptime monitoring; help tune alerts and operational runbooks.
Partner with software engineering, security, and release management teams to deploy changes safely and resolve production issues.
Contribute to platform upgrades, security patching, and compliance-driven maintenance in a regulated cloud environment.
Participate in an on-call rotation for production support.
Use AI-assisted tooling responsibly, with attention to security, privacy, and customer data boundaries.
Learn the platform and grow your scope with mentorship from senior engineers.