Senior Data Engineer
Design and implement the initial analytical data foundation, including ingestion pipelines from PostgreSQL and Kafka. Establish data governance, compliance practices, and production standards for monitoring and observability.
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Design and implement the initial analytical data foundation, including ingestion pipelines from PostgreSQL and Kafka. Establish data governance, compliance practices, and production standards for monitoring and observability.
Design and implement solutions based on Azure Kubernetes Service (AKS) and manage CI/CD pipelines for automated deployments. Monitor and optimize production platforms using SRE practices and observability tools.
Build and maintain production-grade automation and core services for Vultr's global cloud platform. Focus on hardening infrastructure, improving CI/CD pipelines, and enhancing the reliability of cloud-native services.
The role focuses on managing Snowflake account security and governance using Terraform-based Infrastructure as Code. Responsibilities include developing CI/CD pipelines, optimizing resource utilization, and implementing role-based access controls.
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Lead the design of automation frameworks and CI/CD pipelines while enhancing code maintenance and test coverage across multiple repositories. Architect and manage complex AWS cloud environments focusing on performance, security, and scalability.
Design and implement autonomous agentic workflows and enterprise-grounded agents using the Elastic Stack to automate complex business tasks. Manage the full lifecycle of these agents, including cloud infrastructure provisioning via Terraform and establishing DevOps CI/CD pipelines.
Own and evolve the end-to-end release pipeline and fleet automation for a distributed computer vision platform. Develop LLM-powered automated testing systems and harden CI/CD processes for bandwidth-constrained edge deployment targets.
Build and implement enterprise contact center transformations using Amazon Connect, Generative AI, and serverless AWS architectures. Develop AI agents, custom agent tooling, and infrastructure as code while collaborating directly with customer engineering teams.
Build and implement enterprise contact center transformations using Amazon Connect, AI agents, and serverless AWS architectures. Develop AI-native self-service experiences and custom agent tooling while collaborating directly with customer engineering teams.
Build and implement enterprise contact center transformations using Amazon Connect, Generative AI, and serverless AWS architectures. Develop AI agents, custom agent tooling, and scalable infrastructure while collaborating directly with customer engineering teams.
Build and maintain a platform for software development, deployment, and operations using Java and AWS. Automate tasks for continuous feature builds and implement Infrastructure as a Service using Docker and Kubernetes.
Design and maintain scalable data pipelines and infrastructure within the Google Cloud environment using tools like Airflow and Terraform. Collaborate with cross-functional teams to deploy BI dashboards and ensure robust data governance and quality.
Design, develop, and maintain CI/CD pipelines to automate development, testing, and deployment processes. Administer Kubernetes platforms and provide technical expertise to project teams on DevOps and Cloud best practices.
Lead the modernization of legacy DevOps platforms and implement standardized, reusable CI/CD frameworks. Drive automation across build, test, and deployment processes while mentoring cross-functional teams.
Design, build, and operate the Sessions and Tasks APIs that power GitHub Copilot's agentic developer experience. Lead the evolution of the agent registry, remote steering models, and platform capabilities while providing technical mentorship to other engineers.
Develop and deploy scalable code for distributed systems and large-scale data processing pipelines. Lead projects from design through production to build reliable and performant data infrastructure.
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Provision and manage workload-specific Azure infrastructure resources using Terraform modules. Collaborate with security and network teams to deliver governed, reproducible infrastructure aligned with Azure Landing Zone standards.
Own and evolve the cloud infrastructure platform across AWS and GCP to ensure reliability, security, and cost-efficiency. Scale single-tenant deployments for enterprise customers and establish observability and incident response practices.
Lead the migration from SQL Server to Azure Databricks and manage the Lakehouse architecture across various environments. Administer workspace configurations, implement security controls via Unity Catalog, and automate provisioning using Terraform.
The DevOps Developer II will streamline delivery workflows by building and maintaining CI/CD pipelines and automating infrastructure using IaC. They are also responsible for managing containerized workflows, improving system observability, and supporting incident response activities.
Drive the stability, observability, and reliability of the platform by managing GCP infrastructure and container platforms. You will own CI/CD pipelines and the observability stack while partnering with engineering teams to reduce toil and handle incident response.
Develop and maintain mission-critical backend applications using Golang and Ruby on Rails. Collaborate on cloud architecture, API integrations, and technical decision-making to evolve the platform's scalability.
Design and maintain automated identity lifecycle management and orchestration infrastructure to secure AI and data infrastructure. Collaborate with cross-functional teams to optimize the lead-to-revenue lifecycle through identity-driven automation and governance.
Build and operate the cloud-native platform powering CBS Sports Digital, focusing on Kubernetes, GitOps, and platform reliability. Collaborate with engineering teams to standardize delivery workflows and migrate workloads between AWS and OCI environments.
Develop and optimize internal tools and services to improve product availability and engineering productivity. Implement infrastructure using Terraform and manage scaling, alerting, and monitoring within a scrum process.
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Design and implement security capabilities to satisfy FedRAMP Key Security Indicators using automation and infrastructure-as-code. Deploy these capabilities into client environments, troubleshoot integrations, and mentor junior team members.
Design and deploy production agentic AI systems and multi-agent orchestration frameworks to power conversational healthcare experiences. Develop backend services and integrate LLMs with healthcare systems while implementing safety guardrails and monitoring performance.
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.
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