Production Dx Engineer Jobs

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team… GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the industry, powering the object, block, and file storage platforms that underpin hosting, applications, internal infrastructure, and next-generation AI/HPC workloads. If you're passionate about distributed systems, large-scale storage architecture, and solving complex reliability challenges, you'll work on infrastructure that few engineers ever experience. At GoDaddy, Ceph isn't a side project — it's a critical platform. Our environment spans 80+ production clusters, 20,000+ OSDs, and approximately 300 PB of raw storage capacity, supporting tens of billions of objects across multiple continents. The scale demands deep technical expertise in storage architecture, automation, observability, and performance engineering. As a Senior Site Reliability Engineer, you'll be a key technical owner of the platform, responsible for maintaining reliability, driving operational excellence, and influencing the future evolution of our storage ecosystem. You'll tackle challenging production problems, develop automation that operates at massive scale, contribute to architectural decisions, and collaborate with some of the industry's most experienced Ceph engineers. This is an opportunity to have direct impact on a storage platform that serves millions of customers worldwide. What You'll Get to Do… Own the reliability, performance, scalability, and capacity of large-scale production Ceph environments supporting object, block, and file storage wor

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview This role blends elements of product management, innovation strategy, solutions design, and forward-deployed partnership. You’ll work directly with leading law firms and corporate legal teams to translate messy, high-value legal work into AI-powered workflows — and ensure they succeed in production. We don’t build software for lawyers; we build it with them. Our teams sit shoulder-to-shoulder with partners, associates, innovation groups, and CIOs to understand problems at depth, design first-of-kind workflows, and ship products that reshape how legal work gets done. What You’ll Do Serve as a thought partner to top global law firms and enterprises — diagnosing pain points, mapping high-value opportunities, and guiding how Harvey integrates into their practice. Work with

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 The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one Mentor engineers and contribute to hiring and growt

Senior Post Silicon Validation Engineer (Bringup) Salary $156,500 - $211,700 + Phantom Equity + Benefits Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing. We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team. Responsibilities and Dutie

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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: Have experience in cybersecurity research. Have experience with machine learning. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . As a Senior Staff Software Engineer - Escalations, you will be responsible for fixing product bugs and delivering code changes to the Production part of product reliability, resiliency, stability & sustenance for all Druva SaaS Customers. This role will require excellent communication skills as you will collaborate with Product Management, CloudOps, Development & Customer-Facing Teams to refine requirements, product architects to propose architectural changes, and other product owners to drive features for usability/supportability/quality. Key Skills: 6 -9 years of experience in a combination of Development and Sustenance roles. Extensive hands-on experience in Go/Python on Unix/Linux or Windows platform. Excellent programming skills along with Data structures, Algorithms, and Design Concepts. Strong problem-solving skills and demonstrated ability to articulate and present technical solutions. Strong interpersonal and communication skills, both written and verbal, with the ability to develop and maintain working relationships at all levels, both with customers and internal stakeholders. Experience in ent

About the job Senior Backend Engineer |100% Remote We are searching for a seasoned Sr Backend Engineer who will be responsible for developing and maintaining our backend systems, ensuring their efficiency, scalability, and reliability. The ideal candidate has a strong background in PHP and Java, with optional experience in Golang and Node.js. You should be well-versed in working with databases such as MongoDB, Redis, and Postgres, and have a solid understanding of cloud technologies, specifically AWS. Responsibilities Design, develop, and maintain backend systems and APIs to support our application's functionality. Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to deliver high-quality solutions. Write clean, scalable, and well-documented code that adheres to industry best practices and coding standards. Perform code reviews and provide constructive feedback to peers to ensure code quality and consistency. Optimize and improve the performance of existing backend systems. Troubleshoot and debug production issues, providing timely resolutions. Stay up-to-date with emerging technologies and industry trends, identifying opportunities for innovation and improvement. Collaborate with DevOps teams to ensure smooth deployment and operation of backend services in the AWS cloud environment. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). 5-10 years of professional experience as a Backend Engineer. Strong proficiency in Java/Golang is a must. Experience with Node js is a plus. In-depth knowledge of database technologies, including MongoDB, Redis, and Postgres. Solid understanding of cloud computing platforms, particularly AWS. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Proficiency in writing efficient and optimized SQL queries. Experience with version control systems, such as Git. Excellent pr

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role You are the person a customer calls when their Elasticsearch platform is the problem, or when they need one designed properly the first time. That means you decide the shape of a cluster and then defend that decision — node topology, shard strategy, data tiers, lifecycle and retention — with the sizing arithmetic to back it up. It also means you can follow a performance problem beyond Elastic itself. We need someone whose instinct is to look down the stack and sideways to whatever else shares the infrastructure, rather than stopping at the cluster API. What You Will Be Doing Design and build Elasticsearch platforms for customers across self-managed, orchestrated and managed deployments, including air-gapped and regulated environments Own sizing and capacity planning as a derivation from workload characteristics — ingest rate, document shape, retention, query concurrency, growth — validated by benchmark rather than estimated from a form Run health checks and remediation on production estates, and redesign sharding, mapping and index strategies where the original design no longer holds Lead major-version upgrades, snapshot and disaster recovery strategy, and multi-cluster architectures Diagnose performance problems across the full stack — Elastic, the JVM, the operating system, storage and network — and across adjacent systems in t

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly wit

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly wit

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Design and deliver production-grade AI agents : You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC) : You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting-edge startups: You’ll work directly wit

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 As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution. Drive delivery across Anthropic and customer te

P-1385 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as: Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: BS (or higher) in Computer Science, or a related field 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience workin

About the Role Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure. Responsibilities Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling. Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks. Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking. Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations. Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features. Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis. Build automation to reduce manual work in incident response, containment, and remediation. Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms. Qualifications 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools. Experience integrating with security-r

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Revenue and Financial Automation Sub-org within Revenue and Financial Automation: Billing. The Revenue and Financial Automation team at Stripe builds software tools that accelerate the economic and technological growth of global businesses by helping them operationalize their commercial relationships with customers. Our offerings include a billing platform, SaaS analytics, data services, and finance automation products that our customers creatively combine to support various revenue models. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. What you'll do We're looking for engineers who want to build the distributed systems, APIs, and backend services that power Stripe's revenue and billing platform. You'll focus on API design and performance, service reliability, and distributed systems challenges, while collaborating across the stack to ship complete solutions for millions of businesses. Responsibilities Scope, architect, and lead technical projects to build and scale distributed backend systems and APIs Design, build, and maintain reliable, high-performance APIs and backend services Own service reliability, including setting performance targets and driving improvements across the stack Debug production issues across distributed services