Staff Software Engineer - Data Platform

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Staff Software Engineer Want to tackle complex technical challenges, lead innovative solutions, and shape the future of our product? As a Staff Software Engineer at Gong, you will play a pivotal role in revolutionizing how companies understand their customer interactions. You will be instrumental in designing and leading the development of scalable systems, working with cutting-edge technologies, and collaborating extensively with cross-functional teams across the organization to solve high-impact problems. Note: *We operate in a flexible hybrid work model, 3 days a week in office As a Staff Engineer, you will: Design and implement scalable, high-performance backend services and APIs using Java, Spring Boot, and cloud technologies. Provide technical leadership and mentorship to other engineers, guiding them in best practices and architectural de

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jum

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Pytho

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is a rapidly growing company that's revolutionizing how the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. As a Toaster, you will be challenged to take on meaningful projects to help craft the company's future. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. We’re looking for a Staff Software Engineer to join in building the Scheduling product as part of Toast’s Team Management Suite for restaurant employers. You’ll play a key roll* in the design, development, and delivery of scalable software solutions that enable restaurant owners to build an optimal labor plan that balances interests in profitability, employee’s desire for predictability and flexibility, and guest satisfaction. A day in the life (Responsibilities) Lead fellow fellow developers, product managers, and designers, to build amazing Scheduling features with a goal of increasing our consumer footprint at Toast and employee engagement within restaurants Flex your full-stack development muscles by turning ambiguous business goals into high-quality, production-ready code within a collaborative team environment Champion engineering excellence by elevating code quality across teams and mentor engineers via code-pairing, code review, and project reviews to help raise the overall technical bar Actively contribute to product design and feature selection discussions What you'll need to thrive (Requirements) 8+ years of backend/full-stack experience, delivering products that drive

About the Role As a Staff Infrastructure Engineer on the Compute & Storage Platform team in Toast, you will design, build, and operate the foundational distributed systems powering the Toast platform as the company expands into further international markets and broadens its product offerings to encompass retail shopping. You will bridge the gap between core infrastructure and cutting-edge product development—building low-latency state and storage systems, scalable compute clusters, and high-throughput streaming pipelines. Your work will directly enable Toast product delivery across our Product Development Life Cycle (PDLC). For this role it is a requirement that you have at least 8+ years of industry experience. Key Responsibilities Online Databases and Storage: Architect, deploy, and manage low-latency, highly available storage solutions (RDS Postgres and Aurora Postgres; DynamoDB; OpenSearch; S3) to power applications across the Toast product ecosystem. High Availability & Realtime Performance: Ensure sub-second end-user latency, near-zero-downtime reliability, and high throughput across storage engines to support Toast's products across POS, phone, computer, drive-thru, and kiosk interfaces. Infrastructure for AI-Driven PDLC: Automate infrastructure provisioning and compute pipelines. Cost Optimization & Performance Engineering: Right-size compute/storage resources, implement auto-scaling policies, and manage AWS infrastructure costs without compromising platform reliability or latency SLAs. Required Qualifications 1. Core Infrastructure & Automation Cloud & Infrastructure as Code: Hands-on experience building and managing scalable cloud infrastructure on AWS using Infrastructure as Code (Terraform, CloudFormation, etc.). Software Development: Fluency in Python , Go , or a similar language for infrastructure automation, tooling, or backend development. 2. Storage & Compute Operations Databases: Deep experience operating and tuning en