Work on infrastructure, tooling, and paved paths to move production data into a governed medallion architecture for near real-time access. Own and operate a hybrid Databricks and Snowflake architecture, unified storage layer, and platform standards. Required experience includes streaming architectures, large-scale distributed systems, cloud platforms (primarily AWS), IaC, and languages such as Python, Go, Scala/Java.

Join NVIDIA's Financial Systems Engineering team to architect event-driven (Kafka) pipelines, design transactional data models, and implement scalable ETL/ELT solutions (Databricks, dbt) for global payment and invoicing systems. The role requires expertise in PostgreSQL-backed REST APIs, Python/Golang/Scala/NodeJS, distributed systems, cloud infrastructure (AWS/GCP/Azure), and container platforms (Docker/Kubernetes).

Datadog's Synthetics Platform team builds tooling and deployment automation for Synthetics locations across multiple cloud providers and regions. The role requires 5+ years of software engineering experience, production experience with distributed compute/storage (e.g., Kubernetes, Cassandra, Postgres, Kafka, Redis), and programming in a structured language (Go or Python). The position is based in New York with a hybrid/on-site workplace model. Estimated yearly salary range: $130,000–$300,000 USD.

Join the Public Cloud / R&D Core team to design and implement core components for a multi-cloud/hybrid data platform. Responsibilities include architecture and design of large-scale cloud services, development of secure distributed systems, prototyping cloud-native solutions, and mentoring other engineers. Required skills include advanced Java, Linux, containerization (Docker), CI/CD (Jenkins, GitHub Actions), public cloud experience (AWS/GCP/Azure), and production operations experience.

NVIDIA is hiring a Senior Security Architect to lead architecture and strategy for cloud authentication, authorization, workload and agent identities, and identity lifecycle. The role requires 8+ years in cybersecurity or related fields and expertise in IAM protocols (OIDC, OAuth 2.0, SAML), certificate-backed identities, attestation, Zero Trust concepts, threat modeling, and AI security. Location is Santa Clara, CA with remote options in the US; base salary range $184,000–$287,500 USD/year.

Responsible for designing, implementing and supporting operational and reliability aspects of a large-scale observability and telemetry collection platform; engage across the whole service lifecycle from design through deployment and operation. Requires 15+ years relevant experience, deep knowledge of Linux, networking, containers, infrastructure automation and experience with tools such as Kubernetes, OpenStack, Prometheus, Grafana and OpenTelemetry; experience with Python/Go/Perl/Ruby.

Role involves deep debugging of multi-rack, multi-tenant clusters (scheduler, container runtime, device-plugin, RDMA/IB), prototyping Kubernetes operators and Slurm plugins, building reproducible testbeds (Helm/Ansible/Terraform), driving architecture reviews with CSPs, and producing technical collateral. Requires 10+ years in distributed systems, strong Kubernetes and Slurm expertise, and experience integrating GPUs/accelerators.

This role combines day-to-day operational support and project work for enterprise collaboration systems (Zoom, Google Workspace, Microsoft 365). Responsibilities include troubleshooting, configuration, feature releases, documentation, incident investigations with security teams, vendor management, onboarding/rationalization of systems, and building custom tooling. Requires 3+ years administering enterprise systems, strong communication and analytical skills, and legal eligibility to work in the US. Base pay range: $85,000 - $135,000 (USD).

Provide operational support and administration for enterprise collaboration systems, maintain documentation and runbooks, work with first-level support and security teams on incidents, design and implement tooling and integrations, support onboarding/rationalization of internal systems, and lead internal improvement projects. Requires 3+ years administering enterprise systems and vendor management.

Day-to-day ownership of enterprise collaboration systems including troubleshooting, configuration changes, feature releases, documentation, incident/problem resolution, vendor management, and collaboration with security teams. The role also includes project work to design, build, and maintain custom tooling and integrations; 3+ years of relevant administration experience is required.

Lead architecture and optimization of internal MDR service delivery systems: design distributed systems, integration patterns/APIs, workflows for AI agent integration, and documentation. Requires experience shipping distributed systems at scale (6+ years) and security operations context (5+ years); experience with event streaming (Kafka/Kinesis/RabbitMQ), cloud platforms (AWS/Azure/GCP), Kubernetes, CI/CD and observability.

CrowdStrike is hiring a senior Cloud Software/Automation Engineer to design, build, and deploy scalable, fault-tolerant cloud services and agentic automation using Go, Python and LLMs for the Falcon Complete managed detection and response product. Responsibilities include microservices development, CI/CD and GitOps, Kubernetes operations, data pipelines, LLM training/implementation, and collaboration with SOC analysts.

NVIDIA seeks a Senior Full Stack Software Engineer on the DGX Cloud team to design, develop, and operate massively distributed platforms for large GPU clusters. Responsibilities include cluster and node health monitoring, GPU resource scheduling, incident management, and working across a stack that includes React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, and Kubernetes. Requirements listed include 12+ years in a similar role, 6+ years full-stack engineering, 3+ years shipping consumer-facing products, a BS in Computer Science or equivalent, and proficiency with the listed technologies. Base salary range provided: 224,000 USD - 356,500 USD per year.

NVIDIA seeks a Principal Software Engineer for DGX Cloud to build and operate production GPU clusters for AI workloads. Responsibilities include Kubernetes-based GPU resource scheduling, operator development, node health monitoring, telemetry and diagnostics ingestion, incident management, and improving reliability and performance of large-scale systems. Requires strong software engineering experience (15+ years), proficiency in Go or Python, and deep knowledge of distributed systems and cluster management.

Responsible for 24/7 shift-based support, remediation of critical alerts, triage of production network incidents, vendor engagement, and project work (device upgrades, capacity augmentations). Requires 5+ years in network operations, deep knowledge of routing and switching protocols and multi-vendor infrastructures, experience with CSPs (AWS/Azure/GCP/OCI), and hands-on automation and monitoring skills.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

Remote (US) Senior Software Engineer role focused on designing and delivering Go services, Kubernetes controllers/operators, and SDKs to automate lifecycle, scheduling, and capacity tracking for Reddit's multi-region compute fleet. Requires 4+ years in infrastructure/distributed systems, expertise in Go, Kubernetes, and Linux internals; includes periodic on-call rotation.

Remote-first Senior DevOps Engineer role (U.S.) owning cloud infrastructure, infrastructure-as-code, CI/CD pipelines, observability, and production support. The role partners with engineering and AI teams to support ML Ops (model training and evaluation), improve reliability and developer experience, and participate in an on-call rotation. Requires hands-on experience with major cloud providers, Kubernetes, Python and/or Golang, and IaC and CI/CD tooling.

Hands-on technical leader responsible for architecting and building control and data plane implementations for a multi-tenant, high-scale machine learning platform. Work includes developing Ray and Spark solutions for LLM training and inference, improving operational excellence, collaborating cross-functionally, mentoring talent, and contributing to platform architecture. Basic qualifications include a relevant degree plus 8–10+ years of experience and strong programming experience in Python, Go, Scala, or Java.

Client-facing role responsible for architecting end-to-end, secure, scalable GenAI solutions on Gemini Enterprise, including multi-agent workflows, RAG-based data grounding, and security/governance. Requires 6+ years in solutions/cloud architecture or senior technical consulting with deep hands-on experience in Gemini, Google Workspace integrations, BigQuery, LLMs, prompt engineering, and Python.