You will convert standard operating procedures into automation routines and optimize the daily efficiency of systems and cloud management. Additionally, you will serve as the primary resource for providing automation runbooks for core systems, Windows server management, and SaaS application platforms.
The Site Reliability Engineer will maintain production systems, manage on-call rotations, and improve infrastructure through automation. They will also design scalable core infrastructure and debug complex production issues across the stack.
You will be responsible for optimizing GCP cloud spend through FinOps practices and managing the Kubernetes platform lifecycle. Additionally, you will automate infrastructure provisioning and support engineering teams using AI-assisted development workflows.
Site Reliability Engineers are responsible for maintaining production systems, ensuring service availability, and automating infrastructure tasks. They participate in on-call rotations to resolve incidents and improve system scalability through sound engineering practices.
The Production Engineer will drive the modernization of enterprise Linux infrastructure, including OS upgrades and packaging migrations from Chef to CINC. They will also manage observability transitions, harden CI/CD pipelines, and provide Tier-2 operational support for the client's SRE organization.
Design, write, and maintain Python tooling to automate, provision, and audit global network infrastructure. Operate and scale data center fabrics and backbone networks while participating in a 24x7 on-call rotation to ensure system reliability.
You will design, build, and deploy full-stack application features using React, Node.js, and PostgreSQL while managing cloud infrastructure on GCP. Additionally, you will maintain CI/CD pipelines and ensure high-quality code through comprehensive unit, integration, and end-to-end testing.
The role involves owning the end-to-end quality of an agentic AI platform, from initial test planning to final release. Responsibilities include writing manual test cases and building automated coverage for conversational flows and AI decision-making.
Design and operate hybrid networking architectures bridging on-premise environments with Google Cloud. Responsibilities include managing infrastructure via Terraform and troubleshooting complex routing, DNS, and load balancing issues.
Act as the primary administrator and architect for the BigPanda ecosystem to transform telemetry data into automated operational insights. Design ingestion pipelines from GCP and integrate monitoring tools with downstream ITSM workflows to reduce MTTR.
Design and maintain enterprise observability frameworks and alerting ecosystems across multi-cloud and hybrid environments. Automate infrastructure using IaC and optimize system performance through SRE best practices like SLIs and SLOs.
Prepare and maintain architectural drawing packages and store layouts for large-scale retail healthcare initiatives. Coordinate with internal stakeholders and external consultants to execute revisions and ensure documentation is code compliant.
The role involves taking full technical ownership of a globally-deployed edge infrastructure system focused on cookie and consent management. The engineer will drive the technical roadmap, lead high-risk compliance rollouts, and implement risk-mitigation strategies.
Lead the modernization of application platforms by breaking down monolithic architectures into container-based services on GCP. Drive language upgrades, implement secure communication protocols, and mentor junior engineers to improve system scalability.
The engineer will be responsible for building and managing core GCP infrastructure services, including Compute, networking, IAM, storage, and GKE. This role also involves executing cloud migrations from on-premises or multi-cloud environments into GCP using Infrastructure as Code.
