Ahold Delhaize USA
Senior Technical Recruiter at Ahold Delhaize USA
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Overview
The Site Reliability Engineer (SRE) IV is a senior technical leader responsible for designing, guiding, and scaling site reliability engineering practices across complex, distributed systems. This role drives operational excellence, ensures system resiliency, and helps foster a high-performing engineering culture. The SRE IV works closely with senior leadership, engineering, and product teams to set strategic goals around availability, performance, and incident response while leading large-scale reliability initiatives. This position emphasizes deep technical expertise in platforms such as Spring Boot, Java, Tomcat, Redis, and Kafka, along with infrastructure tooling like AKS, Kubernetes, ArgoCD, Terraform, GitHub Actions, and observability platforms like Datadog. The ideal candidate will also bring strong experience with Ubuntu/Linux environments, containerization with Docker, and automation of operational workflows across a modern DevOps toolchain. Our flexible/hybrid work schedule includes 3 in-person days at either our Chicago, IL office, Quincy, MA office, or Salisbury, NC office and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis. Duties & Responsibilities
Architect, evolve, and lead implementation of enterprise-level SRE frameworks, tools, and cloud-native reliability strategies. Build, scale, and manage microservices platforms using Spring Boot, Java, Tomcat, and Redis with Kubernetes and AKS. Lead technical design reviews, chaos testing, and infrastructure planning with an emphasis on scalability, high availability, and fault tolerance. Define, implement, and refine SLOs/SLIs and operational health indicators for business-critical services. Automate infrastructure provisioning and application deployment workflows using Terraform, GitHub Actions, and ArgoCD. Drive observability and telemetry adoption using Datadog, including dashboards, alerts, custom metrics, and distributed tracing. Act as incident commander during critical production issues; conduct blameless postmortems and guide root cause remediation. Lead cross-team efforts in reducing mean time to detect (MTTD) and resolve (MTTR), and promote self-healing systems. Partner with security and compliance teams to ensure that systems are secure, auditable, and operationally compliant. Enhance service resiliency through strategies including Kafka-based event-driven architecture, retries, rate limiting, and circuit breakers. Mentor junior SREs and engineers, lead technical communities of practice, and promote a culture of continuous improvement. Maintain and improve Ubuntu-based production systems and containerized workloads with Docker. Evaluate and integrate emerging DevOps technologies to support scalability and reliability objectives. Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; equivalent practical experience may be considered. 8+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles in large-scale production environments. Expertise in building and maintaining Java-based microservices using Spring Boot, Tomcat, and Redis in containerized deployments. Strong hands-on experience with Kubernetes, AKS, and ArgoCD for orchestration and GitOps deployment workflows. Proficiency in Python, Java, Bash, or Go for automation, scripting, and infrastructure tooling. Proven ability to implement observability platforms and practices using Datadog (metrics, logs, traces, dashboards, alerts). Advanced experience working with CI/CD pipelines using GitHub and GitHub Actions. Deep understanding of networking, Linux (especially Ubuntu), distributed systems, and container security. Experience operating message-driven architectures using Kafka, with an emphasis on throughput, retries, and resilience. Solid knowledge of Terraform and infrastructure as code best practices. Excellent communication, collaboration, and stakeholder alignment skills across engineering and business teams.
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Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Overview
The Site Reliability Engineer (SRE) IV is a senior technical leader responsible for designing, guiding, and scaling site reliability engineering practices across complex, distributed systems. This role drives operational excellence, ensures system resiliency, and helps foster a high-performing engineering culture. The SRE IV works closely with senior leadership, engineering, and product teams to set strategic goals around availability, performance, and incident response while leading large-scale reliability initiatives. This position emphasizes deep technical expertise in platforms such as Spring Boot, Java, Tomcat, Redis, and Kafka, along with infrastructure tooling like AKS, Kubernetes, ArgoCD, Terraform, GitHub Actions, and observability platforms like Datadog. The ideal candidate will also bring strong experience with Ubuntu/Linux environments, containerization with Docker, and automation of operational workflows across a modern DevOps toolchain. Our flexible/hybrid work schedule includes 3 in-person days at either our Chicago, IL office, Quincy, MA office, or Salisbury, NC office and 2 remote days. Applicants must be currently authorized to work in the United States on a full-time basis. Duties & Responsibilities
Architect, evolve, and lead implementation of enterprise-level SRE frameworks, tools, and cloud-native reliability strategies. Build, scale, and manage microservices platforms using Spring Boot, Java, Tomcat, and Redis with Kubernetes and AKS. Lead technical design reviews, chaos testing, and infrastructure planning with an emphasis on scalability, high availability, and fault tolerance. Define, implement, and refine SLOs/SLIs and operational health indicators for business-critical services. Automate infrastructure provisioning and application deployment workflows using Terraform, GitHub Actions, and ArgoCD. Drive observability and telemetry adoption using Datadog, including dashboards, alerts, custom metrics, and distributed tracing. Act as incident commander during critical production issues; conduct blameless postmortems and guide root cause remediation. Lead cross-team efforts in reducing mean time to detect (MTTD) and resolve (MTTR), and promote self-healing systems. Partner with security and compliance teams to ensure that systems are secure, auditable, and operationally compliant. Enhance service resiliency through strategies including Kafka-based event-driven architecture, retries, rate limiting, and circuit breakers. Mentor junior SREs and engineers, lead technical communities of practice, and promote a culture of continuous improvement. Maintain and improve Ubuntu-based production systems and containerized workloads with Docker. Evaluate and integrate emerging DevOps technologies to support scalability and reliability objectives. Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; equivalent practical experience may be considered. 8+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles in large-scale production environments. Expertise in building and maintaining Java-based microservices using Spring Boot, Tomcat, and Redis in containerized deployments. Strong hands-on experience with Kubernetes, AKS, and ArgoCD for orchestration and GitOps deployment workflows. Proficiency in Python, Java, Bash, or Go for automation, scripting, and infrastructure tooling. Proven ability to implement observability platforms and practices using Datadog (metrics, logs, traces, dashboards, alerts). Advanced experience working with CI/CD pipelines using GitHub and GitHub Actions. Deep understanding of networking, Linux (especially Ubuntu), distributed systems, and container security. Experience operating message-driven architectures using Kafka, with an emphasis on throughput, retries, and resilience. Solid knowledge of Terraform and infrastructure as code best practices. Excellent communication, collaboration, and stakeholder alignment skills across engineering and business teams.
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