Remote (EMEA-focused) Senior SRE role working autonomously on platform architecture, reliability strategy (SLOs/SLIs, error budgets), observability (OpenTelemetry, Grafana/Prometheus), cloud infrastructure (AWS), IaC with Terraform, CI/CD and deployment automation. The role expects hands-on Kubernetes and container experience, proficiency with Go and scripting, practical use of AI/agentic workflows in infra/ops, participation in incident response and mentoring of junior engineers. Full-time position with an annual salary range of $53,300–$119,850 USD.

Staff Software Engineer responsible for defining strategy and leading technical architecture for global media processing and delivery (video and audio). Responsibilities include designing scalable low-latency, high-availability media pipelines, distributed transcoding, CDN routing, integrating AI/ML for recommendation and moderation, setting SLOs/SLAs, and mentoring multiple engineering teams. Requires 8+ years of professional software engineering experience and proven experience with large-scale distributed systems, microservices, and cross-functional technical leadership.

MariaDB seeks a Remote Database Administrator to provide expert-level Remote DBA services for SkySQL customers worldwide: monitoring, performance recommendations, upgrades, backups/recovery, automation, on-call coverage and architecture guidance. Role is remote (Bulgaria-focused with a Sofia office hybrid option), requires strong MariaDB/MySQL and troubleshooting skills, comfort with remote work and occasional international travel. Compensation range: 40,000–50,000 EUR/year.

Stitch Fix is hiring an ML Platform Engineer to design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering, candidate generation, AI agent deployment, and observability. The role expects 3+ years of software development experience with a focus on data, ML, or AI infrastructure and proficiency with tools such as Python, Golang, Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph/LangSmith, and AWS. The position is remote for US-based employees and lists a US salary range of $136,000–$167,000.

Remote Senior Solutions Architect on NVIDIA's Infrastructure Specialists team. Run and interpret microbenchmarks and workloads to validate HPC/AI systems; design and extend telemetry across hardware, fabric, and workloads; build automation (Python, Shell) and observability integrations (Prometheus, Grafana, Loki or similar); collaborate with hardware, software, networking, datacenter, and product teams. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster and networking experience.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

Astronomer is hiring a Customer Reliability Engineer (infrastructure) to operate, monitor, and improve the reliability of underlying cloud infrastructure and Kubernetes clusters for its managed Apache Airflow service. The role involves incident response, on-call rotations, building monitoring/alerting and automation, working directly with customers, and providing feedback to product teams. Requires ~5 years experience, Kubernetes experience, cloud provider experience (AWS/GCP/Azure), Linux, Python, and strong troubleshooting and communication skills.

Bitso is hiring a Platform Engineer (Site Reliability focus) to own end-to-end incident management (on-call, declaring incidents, driving resolution), run and automate postmortem workflows, extend observability and alerting, and build AI-assisted incident response tooling. The role requires hands-on Kubernetes and CI/CD experience, software development ability (reading/writing code; Python/Java a plus), strong automation mindset, and experience working under pressure communicating with stakeholders.

Work on Reddit's Core Platform designing, building, and operating API and media services that scale to hundreds of thousands of transactions per second with high availability. Responsibilities include developing scalable platform APIs, optimizing media delivery performance, and mentoring junior engineers. Requires software development experience in Golang or Python and 5+ years working on large-scale distributed systems.

Join Reddit's Core Platform team to design, build, and operate API services that scale to hundreds of thousands of transactions per second. The role requires 5+ years of experience with large-scale distributed systems, proficiency in Golang or Python, familiarity with API platform architectures, and expertise in media delivery and performance optimization. This is a remote position for US-based candidates; the posting includes a US base salary range.

Join Reddit's Core Platform team to design, build, and operate platform APIs that scale to hundreds of thousands of transactions per second. Role requires 5+ years working on large-scale distributed systems, experience in Golang or Python, familiarity with API service architectures, media delivery optimization, and mentoring junior engineers. Position located in San Francisco; base salary range $190,800–$267,100 USD per year.

Work on a feature platform that supports batch and real-time feature computation, training set generation, and feature lifecycle management for Ads ML. Requires ~3+ years in data/platform or ML infrastructure engineering, experience building production services and data pipelines, and familiarity with distributed systems such as Spark, Kafka, Airflow, Kubernetes, or BigQuery.

NVIDIA is hiring a Senior Software Engineer for Resilience Engineering on DGX Cloud to lead org-wide reliability strategy, establish and maintain an SLO program, lead high-severity incident response, and implement chaos engineering and failure-injection practices. The role requires deep hands-on experience running large-scale production systems, strong software engineering skills (Go, Python, or similar), practical reliability experience, and 10+ years of industry experience.

Join Astronomer's Platform Engineering team to design, build, test and deploy production PaaS infrastructure that supports Astro and other products. Responsibilities include owning CI/CD and deployment workflows, contributing to production system design and standards, participating in incident management and on-call rotation, and maintaining internal documentation. Role emphasizes Python, Go, Kubernetes, observability (SLI/SLO), cloud provider experience (AWS/GCP/Azure) and reliability practices. Estimated compensation range provided: £85,000–£125,000.

Administer and maintain enterprise storage across production, DR and non-production environments: provisioning, capacity planning, performance tuning, replication, backups, migrations, firmware/upgrades, SAN networking (zoning, multipathing) and disaster recovery. Support high-availability insurance applications, compliance/audit requirements, create documentation and runbooks, participate in incident and problem management, and mentor junior engineers.

Responsible for end-to-end Managed File Transfer (MFT) solutions: developing and managing file transfer flows with Flow Manager and Transfer CFT, building JSON automation for Secure Transport administration, managing SSL/TLS/encryption/certificates/authentication, performing upgrades/patches/migrations, troubleshooting transfer/connectivity/performance issues, and supporting BAU operations, monitoring and platform onboarding/integration with infrastructure and application teams.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve ML training and inference efficiency at scale. Responsibilities include improving GPU and resource utilization, developing profiling/debugging tools, optimizing distributed training and serving, building benchmarking frameworks and dashboards, and leading cross-functional initiatives. Requires BS/MS/PhD in CS or related field, 5+ years of software engineering experience, strong Python proficiency, and experience with distributed systems and ML infrastructure.

Senior individual contributor responsible for integration architecture and API design across MeridianLink products and external partners. Requires 8+ years experience building production-grade integration systems (REST APIs, event-driven architectures, messaging), experience with API gateway and lifecycle management, strong backend skills (Java/Python/C#), and experience deploying integration workloads on cloud platforms (AWS preferred). Role includes hands-on delivery, setting standards and governance, authoring RFCs/ADRs, and cross-team technical leadership.

Hands-on role owning shared CI/CD platforms, MCP/LLM tooling and agent orchestration, and sandbox infrastructure (Kubernetes, Helm, provisioning, observability, cost and security controls). Requires 5+ years of software engineering experience with strong Python or TypeScript skills and experience operating CI/CD and cloud infrastructure at org scale.

Join Astronomer's Platform Engineering team to design, build, test, and deploy high-scale production infrastructure for Astro and related products. Role emphasizes Kubernetes, Python/Golang, observability (SLI/SLO), CI/CD, reliability practices, incident management and periodic on-call duties. Locations listed: New York City and London.