Remote Staff Software Engineer - SRE at Grafana Labs responsible for ensuring reliability of Grafana Cloud database products (Mimir, Loki, Tempo, Pyroscope) provided across AWS, GCP, and Azure. Duties include owning production reliability for high-SLA customers, defining and evolving per-tenant SLOs, automation to scale reliability practices, incident response and post-incident reviews, improving observability and alert quality, and collaborating closely with product engineering teams. Role requests 8+ years engineering experience (4+ in SRE/CRE/production engineering) and strong Kubernetes, infrastructure-as-code, programming, and Linux experience.

This remote Staff Software Engineer role (available to candidates in the UK, Germany, Spain, Ireland, and Sweden) will define technical direction for Grafana's authentication systems, lead multi-team initiatives, and implement low-latency, high-throughput identity solutions primarily using Go. The role requires deep expertise in identity standards, distributed systems, reliability practices (SLOs/SLIs), and strong communication and mentorship skills.

Work on foundational CRE platform capabilities including backend services, APIs, and distributed systems to improve reliability, scalability, and workflow execution durability. Requires advanced Go (Golang) experience, production systems design and operation, strong systems thinking, and collaboration across engineering teams; preferred experience includes SLO/SLI-driven reliability, TypeScript or Solidity, and interest in blockchain/Web3.

Remote staff software engineer in SRE embedding with product engineering squads to own production reliability for Grafana Cloud database services across AWS, GCP, and Azure. Responsibilities include designing automation, defining per-tenant SLOs, reducing SLO burn, leading incident response and PIRs, improving observability and alerting, and influencing product and reliability design. Requires 8+ years engineering experience (4+ in SRE/CRE), strong Kubernetes and cloud experience, infrastructure-as-code familiarity, programming (e.g., Go, Python, Java), and deep production troubleshooting skills.

Remote Staff Software Engineer (SRE) responsible for production reliability of Grafana Cloud database services, partnering with product engineering squads, owning on-call and incident response, defining and implementing per-tenant SLOs, building automation to scale reliability, and improving observability for multi-tenant environments. Requires 8+ years engineering experience (4+ in SRE/production engineering), strong Kubernetes and cloud (AWS/GCP/Azure) experience, infra-as-code familiarity (Helm, Terraform, Jsonnet), programming experience (e.g., Go, Python, Java), and expertise in Linux, networking, and scaling.

Grafana Labs is hiring a Staff Software Engineer (SRE) to ensure production reliability of Grafana Cloud database products (Mimir, Loki, Tempo, Pyroscope) across AWS, GCP, and Azure. Responsibilities include owning reliability for high‑SLA customers, defining per‑tenant SLOs, automating reliability practices, participating in incident response and PIRs, and influencing product/engineering design. Requires ~8+ years engineering experience (4+ in SRE/CRE/production engineering), strong Kubernetes and cloud experience, IaC tooling (Helm, Terraform, Jsonnet), programming (Go/Python/Java), Linux internals, and technical leadership. Spain base compensation range provided.

Grafana Labs is hiring a Staff Software Engineer (SRE) to own production reliability for Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope) across AWS, GCP, and Azure. Responsibilities include designing and implementing automation, defining per-tenant SLOs, reducing SLO burn, incident response and PIRs, and partnering with product engineering. The role expects strong Kubernetes and infra-as-code experience (Helm, Terraform, Jsonnet), programming experience (e.g., Go, Python, Java), and knowledge of Linux internals, networking, and cloud storage. Germany base salary range provided: €109,709–€131,651 (base).

Work on end-to-end performance, scalability and reliability of the NVIDIA DGX Cloud software stack (Kubernetes control/data planes, GPU Operator, Network Operator, DCGM, NIM, and distributed inference). Develop automated tests, monitoring and CI/CD frameworks, triage and root-cause performance issues, and engage with upstream open-source communities. Minimum 2+ years' relevant experience; familiarity with public cloud providers and proficiency in Golang/Python.

Remote senior role on the Grafana Cloud Observability team building scalable integrations and infrastructure for metrics, logs, and traces. Requires 5+ years' software engineering experience, familiarity with cloud providers, observability tooling (Grafana, Prometheus, Loki, OpenTelemetry), microservices and distributed systems, and participation in on-call/incident management. Candidates are sought in the UK, Spain, Germany, or Sweden.

Grafana Labs is hiring a Senior Software Engineer for the Grafana Cloud Observability team (remote; seeking candidates in the UK, Spain, Germany or Sweden). The role involves designing and implementing scalable integrations, SDKs and middleware for metrics, logs and traces, working with Kubernetes and cloud provider services, participating in on-call rotations, and contributing to open-source projects. Minimum 5+ years' experience; familiarity with observability tooling (Grafana, Prometheus, Loki, OpenTelemetry) and cloud-based production systems is required. Spain-specific base compensation range is €82,988–€99,586 per year.

Join Grafana Labs' Observability team to design, build, and scale integrations and infrastructure for Grafana Cloud, working with tools like Prometheus, Loki, Tempo, and OpenTelemetry. The role requires ownership of services, participation in on-call rotations, collaboration across teams, and contribution to open-source projects; minimum 5+ years of experience is required.

NVIDIA seeks a Senior Systems Software Engineer to drive performance and scale characterization of the DGX Cloud stack (Kubernetes control/data planes and NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM). Responsibilities include designing and implementing performance/scale tests, developing monitoring and CI/CD frameworks, triage and root-cause analysis of large-scale distributed systems, and engaging with upstream open-source communities. The role requires 8+ years of relevant experience and expertise in Kubernetes, distributed accelerator-based systems, performance benchmarking/modeling, and proficiency in Golang or Python.

Role on the Ads ML Platform team to design and build scalable data infrastructure, feature management, and training-set generation systems (batch and real-time). Responsibilities include feature governance (lineage, validation, drift detection, monitoring), integration with ML workflows, and operational excellence. Requires 3+ years in data infrastructure/platform or ML infrastructure and experience with distributed data/compute systems such as Spark, Kafka, Airflow, Kubernetes, BigQuery, or similar.

Hiring a Machine Learning Systems Engineer for Reddit's Ads ML Platform to design and build large-scale feature and training-set infrastructure, develop batch and real-time feature frameworks, implement feature governance (lineage, validation, drift detection, anomaly monitoring, reproducibility, versioning), and improve observability, reliability and cost. Requires 3+ years in data/platform or ML infrastructure and experience with distributed systems such as Spark, Flink, Kafka, Ray, Airflow, Kubernetes or BigQuery.

Senior SRE role leading reliability initiatives across Reddit's Ads systems (ad serving, auctions, targeting, reporting, measurement, billing). Responsibilities include architecture reviews, building platforms and automation, incident leadership, establishing reliability metrics and SLOs, and mentoring engineers. Requires 8+ years supporting large-scale distributed, high-traffic production environments.

Senior SRE role on the Ads Reliability team responsible for leading reliability initiatives across ad-serving, auctions, targeting, reporting, measurement, and billing. Requires 8+ years experience with large-scale distributed systems, observability, SLOs, automation, programming (Go/Python), Kubernetes/cloud-native architectures, and participating in on-call and incident investigations.

Reddit Ads is hiring a Staff SRE to lead reliability initiatives across ad-serving, auctions, targeting, reporting, measurement, and billing. Responsibilities include architecture reviews, platform and tooling development, incident leadership, defining reliability metrics/SLOs, and mentoring engineers. Requires 8+ years in SRE/infrastructure roles supporting large-scale distributed and user-facing systems; skills include distributed systems, networking, Linux, cloud-native architectures, observability, Go/Python, automation, and incident management.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve training and inference efficiency, GPU and resource utilization, distributed training infrastructure, and model serving. Requires 5+ years software engineering experience, strong Python skills, systems-language proficiency (Go/C++/Rust/Java preferred), experience with distributed systems and ML infrastructure, and expertise in performance engineering and profiling.

Work on the Ads Reliability team to improve reliability, scalability, observability, and engineering productivity for Reddit's advertising systems. Responsibilities include designing and maintaining infrastructure and automation, participating in on-call rotations and incident response, running root cause analyses, driving SRE best practices (SLIs/SLOs/error budgets), and reducing operational toil. Requires 5+ years in SRE/infrastructure roles, experience with large-scale distributed systems, Linux, networking, cloud-native architectures, programming (Go/Python), observability, and automation.

Join Reddit Ads Reliability to build and operate highly available ad-serving, auction, targeting, measurement, and billing systems. Requires 5+ years in SRE/infrastructure roles supporting high-traffic distributed systems, strong Linux, networking and cloud-native experience, programming in Go/Python, observability and incident response expertise, and driving automation and operational improvements.