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Location: Dublin, Ireland Workplace: OnSite Dublin, Ireland | On-site Full-time OVERVIEW Experience Required: 2+ years in software engineering, technical consulting, or a customer-facing engineering role Education: Degree in Mathematics, Engineering, Computer Science, or equivalent practical experience ABOUT WHIPPY Whippy is an AI-powered enterprise contact centre that automates real business workflows across voice, SMS, chat, and APIs. We integrate with telephony providers, CRMs, ATS platforms, and internal enterprise systems to power AI agents that handle inbound calls, qualification flows, onboarding processes, support queries, and operational tasks. THE ROLE As a Forward Deployed Engineer, you will embed directly into enterprise deployments and own the technical delivery of integrations between Whippy and customer systems. You will operate at the intersection of APIs, telephony, databases, and AI workflows. You will design and ship production-grade systems, debug live issues, and convert customer-specific requirements into reusable platform capabilities. This is a high-ownership role. You will work closely with customers, product, and core engineering to ensure deployments are robust, scalable, and repeatable. WHAT YOU’LL DO • Own end-to-end delivery of production integrations across CRM, ATS, telephony, and internal systems • Design and implement reliable data flows between Whippy and external platforms • Handle authentication, rate limits, retries, and failure modes in distributed systems • Debug and resolve non-trivial production issues across webhooks, async workflows, and external APIs • Improve logging, monitoring, and observability of deployment pipelines • Translate ambiguous customer requirements into clear technical designs • Identify repeated patterns and convert one-off implementations into reusable connectors or internal tooling • Collaborate with product and engineering to push field learnings back into the platform WHAT WE’RE LOOKING FOR • 2+ years of experience in software engineering or technical consulting • Strong backend fundamentals and comfort working with APIs and relational databases such as Postgres • Experience integrating third-party systems or working with external APIs in production • Understanding of distributed systems concepts such as idempotency, retries, async processing, and error handling • Experience debugging production systems under time pressure • Clear, structured communicator able to explain trade-offs to both technical and non-technical stakeholders • Ownership mindset and comfort operating with ambiguity NICE TO HAVE • Experience with telephony, event-driven systems, or webhook-based architectures • Exposure to AI workflows, automation systems, or LLM integrations • Experience working directly with enterprise customers, e.g in consulting, banking or equivalent WHAT SUCCESS LOOKS LIKE Within 90 days, you will: • Own at least one enterprise deployment end-to-end • Resolve a meaningful production issue independently • Ship at least one reusable improvement that reduces future deployment effort • Demonstrate strong judgment around scope, trade-offs, and customer impact

Location: Lisbon, Portugal About the Role The Site Reliability Engineering team at iCapital is fundamental to ensuring our platform delivers consistent, reliable service to our client base. Our services run on Kubernetes in AWS, and this role focuses on keeping them healthy in production. We're looking for the hands-on engineer others turn to when production is broken and the cause isn't obvious. You'll troubleshoot across the full stack (the application, its containers, Kubernetes, and the underlying cloud infrastructure) and turn what you learn into lasting improvements: stronger reliability standards, safer rollouts, sharper alerts, and automation that prevents repeat failures. You'll rely on metrics, logs, and traces every day, but the heart of this role is diagnosing and fixing what they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as Incident Commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. What You'll Need (Must-Haves) 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams. 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads. Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious. Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer. Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes. Strong incident response skills, including leading retrospectives/postmortems and following through on systemic fixes. Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling. Track record of defining SLOs/SLIs and using an observability stack (such as Prometheus/Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly. Clear written and verbal communication, with the ability to influence engineering teams through standards, tooling, and practical guidance. Nice to Have Kubernetes certification (CKA or CKS) or equivalent depth. Experience improving rollout safety and autoscaling behavior for Kubernetes workloads. Familiarity with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems. OpenTelemetry instrumentation experience at scale. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Bangalore; Jaipur; Hyderabad Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your Mission: UiPath is building a new way to design and deliver enterprise processes. UiPath cartographer draws on a curated library of industry process knowledge, interviews the business, and produces process maps and design documents. AI coding agents then turn those designs into working, orchestrated solutions, in days rather than months. In insurance, "almost right" isn't good enough. The best AI companies in regulated industries have learned the same lesson: quality comes from making a senior practitioner part of the team to building the benchmarks, evaluations and feedback loops around their experience and judgment. That's this role. As our Principal Expert for insurance, you will own the quality of everything our AI produces for US insurers. You'll set the bar, build the tests that hold the AI to it, and work in the field with customers and partners to make sure what we ship works in a real carrier. This role does not carry a sales quota and is not a product management role. Success is measured by the quality of the insurance solutions we deliver and how confidently customers build on them. Why this role is exciting: - Your work sets the standard. What you define as good will be used by insurance customers, partners and AI agents across the platform. - You see the impact. Take a process from discovery to a working solution in days, then keep improving it. - You're building something new. Help decide which lines of business we go after next and how we measure the success of AI-designed processes. What you'll do at UiPath: Own insurance AI quality - Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity. - Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready. - Work with industry experts, partners and reviewers to maintain and improve quality. Build the insurance benchmark - Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO. - Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release before it reaches customers. Turn expert judgment into evaluations - Evaluate AI outputs at every stage, from process knowledge and process maps to design documents and working solutions. - Work with applied scientists and engineers to make sure automated AI evaluations match expert judgment, so we can scale quality checks without relying on manual reviews for everything. Find failures and make sure they get fixed - Review actual outputs, identify common failure types across regulation, coverage, workflows, data and terminology, and prioritise them based on customer impact. - Turn recurring failures into reusable test cases and make sure fixes work before they go live. - Share clear updates on quality, key issues and progress with leadership, product teams and customers. How you'll work: You'll work in a small, senior team of automation consultants, engineers and applied scientists, working directly with customers. - Work with insurance carriers, MGAs and consulting partners to understand how their claims and underwriting teams operate, and test our designs against real processes. - Join consultants and engineers on customer deployments and use what you learn to improve our benchmarks and evaluations. - Run a regular review cycle, roughly every two weeks, to assess outputs, prioritise fixes and track improvements. - Join customer and partner meetings. What you'll bring to the team: - Extensive experience (typically 12+ years) in US insurance, ideally starting hands-on in claims and moving into claims operations senior or mid level roles. - Deep P&C or Life & Annuity knowledge across the lifecycle - Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams. - Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA. - The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why. Nice to have: - Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records. - Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs. - Experience with insurance AI, claims automation or document intake programs. - Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools. - Experience leading or calibrating a team of reviewers, auditors or claims QA specialists. - Commercial lines, workers' compensation, employee benefits or broker/MGA experience. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Москва Workplace: Дистанционный Мы разрабатываем крупнейший мессенджер в России, чтобы соединять людей, сервисы и компании. Создаём простые и удобные инструменты коммуникации. Задачи Развивать и сопровождать инфраструктуру highload-системы, повышать надёжность, доступность и производительность Внедрять и поддерживать SLO/SLI и практики error budget, выстраивать алертинг на основе пользовательских метрик и приоритизации Развивать observability (Prometheus/Alertmanager, Grafana, централизованные логи): делать эксплуатационные дашборды, настраивать алерты, снижать alert noise, улучшать MTTD/MTTR Автоматизировать рутинные операции и эксплуатационные процессы, снижать toil, развивать self-service подходы для команд разработки Участвовать в on-call , оперативно реагировать и устранять инциденты, координировать восстановление, проводить postmortem и доводить улучшения до продакшена Взаимодействовать с командами разработки и смежными инфраструктурными командами: участвовать в архитектурных обсуждениях, ревью изменений, согласовании требований к production readiness Вести и развивать эксплуатационную документацию : писать и актуализировать runbooks/playbooks для типовых инцидентов и деградаций, инструкции по релизам/роллбэкам и аварийным процедурам (в том числе DR), документировать дашборды/алерты и схемы зависимостей/эскалаций Требования Опыт 5+ лет в SRE/DevOps/Platform/System Engineering, опыт эксплуатации highload -систем Глубокие знания Linux : администрирование, диагностика производительности (CPU/mem/io), анализ деградаций, systemd, файловые системы, лимиты/квоты, troubleshooting на production Сетевые основы для диагностики : TCP/IP, DNS, HTTP/HTTPS, TLS, L4/L7 балансировка, keepalive; умение находить и устранять сетевые причины деградаций Опыт эксплуатации распределённых систем : понимание partial failures, timeouts/retries, backpressure, graceful degradation Облака: опыт эксплуатации инфраструктуры в публичном облаке — сети и балансировщики, autoscaling, IAM/роль‑модель; построение отказоустойчивости по зонам/регионам, базовые DR-подходы Контейнеры и Kubernetes: понимание контейнеризации и практический опыт работы с Kubernetes на уровне эксплуатации (деплой, конфигурации, диагностика проблем приложений/окружения) Infrastructure as Code : Terraform (или аналог) + Ansible; Git‑workflow, code review, версионирование инфраструктуры CI/CD и управление изменениями : безопасные релизы (canary/blue‑green), rollback стратегии, снижение рисков изменений Код и автоматизация: чтение чужого кода (Go/Java/Python) для диагностики; написание автоматизации (Python/Go/Bash), создание утилит/джоб для эксплуатации Observability: Prometheus/Alertmanager, Grafana, централизованные логи (Graylog/ELK) — дашборды под эксплуатацию, алерты с учётом снижения шума и приоритизации SRE-практики : SLI/SLO, error budget, incident response, postmortem без поиска виноватых Готовность к on-call и участие в разборе и устранении инцидентов Навыки создания и поддержки эксплуатационной документации : runbooks/playbooks, инструкции по деплою/роллбэку, схемы архитектуры, описания SLO/алертов; умение писать кратко и так, чтобы документ работал в инциденте Будет плюсом Опыт с БД/кешами/очередями: PostgreSQL/Redis/Cassandra/Kafka/ClickHouse и так далее Сопровождение Java: JVM/GC, heap/thread dumps, профилирование, диагностика latency Security basics: secrets management, least privilege

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will help build the platforms and product capabilities that support money movement through Xero, from collecting invoice payments and paying bills to supporting payroll and future payment experiences. Your work will make payments feel more connected within Xero, helping small businesses manage their money with greater ease and confidence. You will take ownership of meaningful engineering problems, building reliable, secure and scalable software where financial accuracy matters. Working closely with engineering, product and operational partners, you will help shape technical decisions, make trade-offs clear and balance delivery with the controls needed to protect customers and their money. Through thoughtful communication, knowledge sharing and constructive feedback, you will contribute to an inclusive team culture and help improve how a growing engineering organization works. The team / how they connect You will join Payments Platform Engineering, an early-stage organization building the foundations for collecting and paying money through Xero. The team is creating reusable capabilities that can support multiple products, payment methods, providers and regions, while staying closely connected to customer needs. The work spans payment orchestration, provider integrations, onboarding and verification, risk, reconciliation and internal ledger capabilities. As the organization takes shape, you will have the opportunity to influence architecture, challenge assumptions and help define how payment experiences are built and scaled across Xero. The team is currently working on / Initially, you will focus on - Evolving systems tightly coupled to invoicing into reusable payment capabilities that support multiple products, providers and regions. - Building payment orchestration and provider integrations, with clear boundaries between payment methods, providers and the networks that move money. - Developing foundations across customer onboarding, know-your-business verification, entity management, risk and compliance. - Strengthening reconciliation, dispute handling and internal ledger capabilities so financial events are represented accurately and can be traced. - Supporting bill payments and broader incoming and outgoing money flows, with reliability, security and observability built in. - Applying AI and automation where they can reduce manual effort, while maintaining clear controls and appropriate human oversight. Your initial area of ownership will sit within these priorities, with room to shape both the technical approach and how the team delivers. Where and how you can work This role is based in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. Here are some of the things we are looking for - You bring strong backend software engineering experience and a track record of building and operating reliable services in production. - You understand distributed systems and can reason through service boundaries,consistency, resilience and failure handling. - You have practical experience working with transactional data, where correctness, integrity and traceability are essential. - You can work through ambiguous problems, make pragmatic architectural decisions and recognise when to improve an existing system or take a new approach. - You take ownership beyond implementation, considering automated testing, deployment, observability and the ongoing operation of your services. - You communicate clearly and collaborate well across engineering, product and operational teams, connecting technical decisions to customer outcomes. - You are interested in using AI tools to improve engineering productivity and exploring automation with appropriate controls and human oversight. Experience in payments, financial systems or other environments where accuracy and auditability are critical would be valuable. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: ● Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. ● Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide. We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences. This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms. Role Overview As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms. You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process. Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences. You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams. Responsibilities Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms. Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation. Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches. Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency. Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences. Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms. Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback. Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues. Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness. Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality. Collaborate with globally distributed engineering and QE teams on integration testing and release qualification. Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows. Required Qualifications Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field. 3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation. Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift. Experience developing automated tests and working with test automation frameworks. Experience testing APIs, backend services, web applications, or native mobile applications. Understanding of software testing methodologies, test design, and automation strategies. Familiarity with CI/CD pipelines, version control, and modern software development practices. Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions. Ability to manage assigned work independently, communicate technical findings, and collaborate across teams. Preferred Qualifications Experience with subscription platforms, commerce systems, payment processing, or entitlement services. Experience testing distributed systems, microservices, or cloud-based applications. Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks. Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools. Experience testing streaming services, media playback, gaming consoles, or connected devices. Experience with React Native or other cross-platform application frameworks. Experience developing end-to-end automation across client applications and backend services. Familiarity with observability, telemetry, and quality reporting. Exposure to AI-assisted testing and automation tools. Understanding of accessibility and localization testing practices. What We’re Looking For You enjoy understanding how systems work and finding practical ways to improve their quality. You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions. You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems. You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52.83 — $79.27 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we are passionate about delivering high-quality experiences to millions of players worldwide. We are looking for an experienced, hands-on Software Development Engineer in Test II (SDET II) to help build reliable, scalable Subscription and Streaming experiences. This opportunity is suited for an engineer who enjoys solving complex technical problems, developing automation solutions, and improving quality across applications, services, and connected platforms. Role Overview As an SDET , you will collaborate with Software Engineers, Product Managers, and Quality Engineering teams to deliver subscription experiences across PlayStation platforms. You will take ownership of testing and automation for assigned features, contribute to technical solutions, and help improve how quality is built into the development process. Your work will span subscription and commerce services, backend APIs, mobile applications, gaming consoles, streaming services, and connected device experiences. You will have opportunities to expand your technical expertise while working with experienced engineers across multiple teams. Responsibilities Design, develop, and improve automated testing solutions for subscription services, applications, and connected platforms. Take ownership of quality engineering activities for assigned features, from test planning through automation and release validation. Collaborate with engineering teams early in development to identify quality risks, improve testability, and determine effective testing approaches. Develop reusable automation tools and framework capabilities that improve test coverage, reliability, and engineering efficiency. Validate end-to-end customer journeys involving authentication, commerce, entitlements, subscription lifecycle management, retention, and streaming experiences. Build automated tests for APIs, backend services, distributed systems, web applications, and native mobile platforms. Integrate automated testing into CI/CD pipelines and contribute to improving test execution reliability and feedback. Investigate complex failures, analyze root causes, and work with engineering teams to resolve issues. Contribute to quality metrics, dashboards, and reporting that provide visibility into automation coverage and release readiness. Identify opportunities to improve testing practices, reduce technical debt, and strengthen overall product quality. Collaborate with globally distributed engineering and QE teams on integration testing and release qualification. Explore emerging technologies, including AI-assisted testing, to improve test development and engineering workflows. Required Qualifications Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field. 3+ years of experience in Software Development Engineering in Test, Software Engineering, Quality Engineering, or Test Automation. Proficiency in at least one programming language, such as Python, JavaScript/TypeScript, or Swift. Experience developing automated tests and working with test automation frameworks. Experience testing APIs, backend services, web applications, or native mobile applications. Understanding of software testing methodologies, test design, and automation strategies. Familiarity with CI/CD pipelines, version control, and modern software development practices. Experience investigating technical issues, debugging failures, and collaborating with engineering teams on solutions. Ability to manage assigned work independently, communicate technical findings, and collaborate across teams. Preferred Qualifications Experience with subscription platforms, commerce systems, payment processing, or entitlement services. Experience testing distributed systems, microservices, or cloud-based applications. Experience with automation technologies such as XCUITest, Appium, Selenium, or API testing frameworks. Familiarity with Jenkins, GitHub Actions, Docker, Kubernetes, or similar development tools. Experience testing streaming services, media playback, gaming consoles, or connected devices. Experience with React Native or other cross-platform application frameworks. Experience developing end-to-end automation across client applications and backend services. Familiarity with observability, telemetry, and quality reporting. Exposure to AI-assisted testing and automation tools. Understanding of accessibility and localization testing practices. What We’re Looking For You enjoy understanding how systems work and finding practical ways to improve their quality. You are comfortable working across different technologies, investigating complex issues, and translating requirements into effective testing solutions. You bring hands-on engineering experience, take ownership of your work, and collaborate with others to solve problems. You are interested in continuing to develop your technical expertise while contributing to reliable, high-quality PlayStation experiences. At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52.83 — $79.27 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dhahran, Saudi Arabia Eram Talent is hiring for one of its most prestigious clients in Saudi Arabia for experienced Rotating Equipment Engineers specializing in Turbine Testing or Pump Testing. The primary responsibility of this role is to plan, execute, and evaluate mechanical, functional, and performance testing of overhauled rotating equipment, with a specialization in either industrial steam turbines or pumps. The role requires strong technical expertise in equipment assembly, testing procedures, instrumentation, vibration analysis, performance evaluation, troubleshooting, and quality assurance to ensure equipment reliability, safety, and compliance with applicable industry standards. Key Responsibilities As the successful candidate, you will be required to perform the following: 1. Test Engineering & Planning Review equipment drawings, technical specifications, overhaul reports, repair scopes, and testing requirements to establish appropriate test procedures, operating conditions, and acceptance criteria. Develop and review test plans, verify test rigs and systems, and ensure the availability and calibration of required instrumentation. Ensure testing activities comply with applicable industry standards, client specifications, quality requirements, and workshop safety procedures. 2. Mechanical, Functional & Performance Testing Execute mechanical, functional, and performance testing of overhauled rotating equipment, specializing in either steam turbines or pumps. For turbine testing, perform slow-roll, uncoupled run, overspeed, trip, governor, trip-and-throttle valve, lubrication, vibration, temperature, and leakage tests, as applicable. For pump testing, conduct hydrostatic, mechanical running, and performance tests, including the evaluation of flow rate, differential head, pressure, power consumption, efficiency, vibration, bearing temperature, and leakage, as applicable. Verify equipment operating conditions, test-system readiness, instrumentation accuracy, safety interlocks, and protective systems before and during testing. 3. Performance Evaluation & Technical Analysis Evaluate test results against approved procedures, manufacturer specifications, contractual requirements, and applicable testing standards. For turbines, assess speed, steam conditions, power output, efficiency, heat rate, valve response, and governor stability, as applicable. For pumps, evaluate head-flow characteristics, efficiency, power requirements, operating curves, and performance against specified duty points and acceptance criteria. Interpret test data, identify performance deviations, and recommend corrective actions to achieve the required operating and acceptance parameters. 4. Diagnostics, Troubleshooting & Root Cause Analysis Diagnose mechanical and performance-related issues, including excessive vibration, bearing problems, shaft misalignment, thermal effects, lubrication issues, abnormal temperatures, leakage, and instability. For turbines, investigate rotor dynamics, steam-path losses, governor malfunctions, trip-system issues, and lubrication-related failures. For pumps, investigate cavitation, hydraulic instability, inadequate flow or head, seal leakage, impeller-related issues, bearing failures, and abnormal operating conditions. Conduct root cause analysis (RCA), recommend corrective and preventive actions, and validate equipment performance through retesting where required. 5. Technical Documentation & Quality Assurance Prepare and review test procedures, inspection records, calibrated-instrument lists, performance curves, certified test reports, deviation reports, and technical recommendations. Document test results, identify non-conformities, and coordinate corrective actions with repair, assembly, inspection, and quality teams. Ensure complete technical documentation and verification of acceptance criteria before recommending equipment release to service. 6. Equipment Assembly & Workshop Support Provide technical guidance on rotating equipment assembly, rotor and shaft inspection, bearing and seal clearances, alignment, and mechanical integrity verification. Support workshop teams in resolving assembly, repair, testing, and performance-related issues. Collaborate with engineering, maintenance, quality, and workshop personnel to improve equipment reliability, testing effectiveness, and compliance with technical requirements. Requirements Bachelor's degree in Mechanical Engineering from a recognized and approved program. At least 15 years of rotating equipment experience, including a minimum of 8 years of relevant hands-on experience in industrial steam turbine or pump repair, overhaul, assembly, diagnostics, or testing. Demonstrated practical experience in either steam turbine testing or pump testing, including mechanical running tests, performance evaluation, troubleshooting, and technical reporting. Strong knowledge of rotating equipment fundamentals, vibration analysis, rotor dynamics, shaft alignment, bearings, seals, lubrication systems, and machinery protection. Experience with mechanical and performance testing instrumentation, including vibration, temperature, pressure, flow, speed, and power measurement systems. Ability to interpret technical drawings, equipment specifications, test procedures, performance curves, and applicable industry standards. Proven capability in root cause analysis, technical problem-solving, performance assessment, and preparation of detailed engineering reports. Preferred Qualifications Relevant OEM training or specialized technical training in steam turbines or pumps. Experience with applicable API standards and other recognized rotating equipment testing standards. Mobius vibration analysis certification, Category II or higher, or equivalent qualification. ICML MLA I or an equivalent lubrication certification. Hands-on experience with workshop test rigs, instrumentation systems, machinery protection systems, and equipment acceptance testing. Experience in industrial, oil and gas, petrochemical, power generation, or other process-industry environments. Specialization: Candidates must have substantial hands-on expertise in either Steam Turbine Testing or Pump Testing .

Location: Al Jubail, Saudi Arabia; Dhahran, Saudi Arabia We are seeking a Manufacturing Engineer to join our Mechanical Services Shops. Mechanical Services Shops is responsible for providing rotating and static equipment repair and fabrication of components. Your primary role is to develop and optimize routes for precision components produced through machining, additive, welding, casting, heat treatment, and related processes. You will ensure designs are executable and that operations achieve safety, quality, delivery, cost, and capacity objectives. Key Responsibilities As the successful candidate you will be required to perform the following: · Process Development: Create routings, process plans, work instructions, control plans, inspection points, and production standards for new and repaired components. · Design for Manufacturability: Review drawings and models, identify risks, recommend tolerances and appropriate method, and coordinate technical queries with reverse engineering and quality teams. · Production Planning & Optimization: Balance capacity, sequence operations, define tooling and fixtures, reduce setup and cycle time, and improve throughput, yield, and equipment utilization. · Failure & Root-Cause Analysis: Investigate machining, fabrication, dimensional, material, and assembly failures using structured problem-solving; implement verified corrective and preventive actions. · Industrialization & Governance : Lead fabrication of parts, process validation, material supplier technical reviews, and transfer of qualified methods into repeatable production. Requirements You will hold a Bachelor's degree in Manufacturing, Mechanical, Industrial, Production, or Materials Engineering from a recognized and approved program. You will have at least 15 years of manufacturing-engineering experience, including a minimum of 8 years developing and optimizing industrial production processes for Aerospace or Oil and Gas. Broad knowledge of machining and at least two additional processes such as additive manufacturing, casting, heat treatment, or assembly is required. Proficiency in process planning, tooling and fixture design, CAD/CAM collaboration, capacity analysis, and production-data interpretation is necessary. SME CMfgE, ASQ CQE, Lean Six Sigma Green Belt, or comparable professional certification is preferred. Having simulations certification and all siemens certification for NX CAD/CAM/CAE (NX Teamcenter quality associated Certificate, NX CAD Design Associate Level Certificates, NX CAM Manufacturing Associate Certificate, NX Simcenter 3D CAE Associate Certification, NX Additive Manufacturing Associate Certification, NX Teamcenter quality associate Certificate, NX Designer Certified Professional (NX) Certification) is strongly preferred.

Location: Dhahran, Saudi Arabia We are seeking a Mechatronics Engineer to join our Facility Maintenance team within Mechanical Services Shops. The team is responsible for maintaining facility infrastructure, industrial machinery, and supporting equipment to ensure safe, reliable, and efficient operations. Your primary role will be to ensure the reliability, maintainability, and safe operation of integrated mechanical, electrical, control, robotic, and automated systems across the facility. You will lead troubleshooting, preventive and predictive maintenance, equipment upgrades, and lifecycle management for facility equipment and production machinery. Key Responsibilities Facility & Equipment Maintenance: Develop and implement maintenance strategies for facility equipment, CNC machines, balancing machines, robots, furnaces, test stands, pumps, compressors, conveyors, drives, sensors, and hydraulic and pneumatic systems. Diagnostics & Root Cause Analysis: Troubleshoot mechanical, electrical, servo, PLC, motion-control, hydraulic, pneumatic, and communication faults using drawings, diagnostic software, measurements, and failure evidence. Preventive Maintenance & Reliability: Establish asset criticality, preventive and predictive maintenance tasks, lubrication, alignment, vibration monitoring, thermography, calibration, spare-parts requirements, and condition-monitoring programs. Modifications & Commissioning: Engineer and validate equipment upgrades, safety circuits, drives, sensors, automation changes, and OEM retrofits through controlled design, testing, and change management. Maintenance Planning & Governance: Maintain CMMS records, maintenance plans, procedures, breakdown reports, KPIs, obsolescence plans, contractor controls, technical documentation, and training for maintenance personnel. Facility Safety & Compliance: Ensure maintenance activities comply with applicable safety regulations, operational procedures, equipment standards, and quality requirements. Minimum Requirements Bachelor’s degree in Mechatronics, Mechanical, Electrical, Automation, or Electromechanical Engineering from a recognized and approved program. At least 12 years of industrial or facility maintenance experience , including a minimum of 7 years supporting CNC machines, balancing machines, or integrated mechatronic systems . Strong hands-on knowledge of machine mechanics, bearings, alignment, hydraulics, pneumatics, motors, drives, servos, PLCs, sensors, robots, and safety interlocks. Experience with OEM diagnostic tools, electrical and mechanical drawings, precision measurement, condition monitoring, and structured root cause analysis. Demonstrated ability to develop preventive maintenance plans, manage critical spare parts, execute equipment upgrades, and support safe commissioning. Preferred Qualifications CMRP or CMRT certification. Siemens or Rockwell automation training. Robotics or CNC-machine OEM training. Vibration analysis or thermography credentials.

Location: Boston, MA Workplace: OnSite At WHOOP, we are on a mission to unlock human performance and extend healthspan. The security organization supports this mission by protecting the systems, data, and infrastructure that power the platform and enable trusted member experiences. WHOOP is seeking a Security Analyst to support day-to-day security operations and maintain operational visibility across the security environment. This role works closely with the internal security team and external security partners to investigate alerts, coordinate response activities, and ensure security issues are triaged and addressed efficiently. The ideal candidate combines strong analytical skills with operational discipline and enjoys working across security and engineering teams to investigate potential threats and improve security processes. RESPONSIBILITIES - Triage and investigate security alerts originating from internal security tooling as well as those escalated by external security monitoring partners. - Monitor and manage the internal security operations ticket queue, ensuring alerts and investigations are prioritized, tracked, and resolved in a timely manner. - Assist with investigation of security events across endpoint, identity, cloud, and SaaS platforms. - Support incident response activities including investigation, containment coordination, documentation, and post-incident analysis. - Respond to external threat intelligence and digital risk alerts related to potential brand abuse, impersonation, or exposed credentials. - Collaborate with security engineering teams and external security partners to improve detection coverage and reduce false positives. - Help identify gaps in logging, telemetry, or investigation workflows across security platforms. - Assist with threat hunting and security investigations using data from SIEM and other security tools. - Support vulnerability management workflows by assisting with triage, prioritization, and tracking of remediation activities. - Own and manage the security operations queue while serving as a central intake point for security questions, alerts, and reports across the organization, ensuring items are triaged, prioritized, and driven through investigation or resolution. - Operate the organization’s phishing simulation program to reduce susceptibility to social engineering threats, including managing phishing campaigns and coordinating targeted remediation training for users with repeated failures. - Identify opportunities to improve security operations through process improvements, automation, and responsible use of AI to streamline investigation, triage, and reporting workflows. - Maintain documentation for incident response procedures, investigation workflows, and operational playbooks. - Participate in the security team’s on-call rotation to support investigation and response activities when needed. QUALIFICATIONS - 3+ years of experience in security operations, incident response, threat detection, or a related cybersecurity role. - Experience investigating security alerts or suspicious activity across environments such as endpoint, identity, cloud, or SaaS systems. - Experience triaging and managing security investigation workflows, including ticket queues or incident tracking systems. - Familiarity with SIEM platforms, log analysis, and security monitoring tools. - Understanding of common attacker techniques and frameworks such as MITRE ATT&CK. - Experience working with security tools such as EDR platforms, identity systems, cloud logging platforms, or similar technologies. - Familiarity with modern AI-enabled tools used in enterprise environments and an understanding of risks associated. - Experience improving security operations through automation, scripting, or responsible use of AI to increase operational efficiency. - Strong analytical and investigative skills with the ability to evaluate security events and determine potential impact. - Ability to coordinate investigations across multiple teams and communicate findings clearly to technical and non-technical stakeholders. - Strong written documentation skills for incident records, investigation notes, and operational procedures. - Relevant security certifications such as Security+, CySA+, SSCP, GSEC, or GCIH are a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $70,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Within Galaxy’s Data Center team, you are a commissioning leader who has taken large-scale, mission-critical data center facilities from equipment acceptance through energization, functional performance testing, and integrated systems testing, and who has done it across multiple facilities at once. You understand the electrical, mechanical, and controls systems well enough to challenge a test script, read a trend log, and know when a result does not prove design intent. You understand the commissioning process well enough to adapt it, not just follow it, and you can rebuild the test sequence when conditions change. That includes authoring the MOPs and risk controls for completing IST and load-based validation after early turnover, in live or partially occupied environments, without lowering the performance requirements the original plan was designed to prove. You lead teams from the front, hold contractors, OEMs, and third parties to a high standard, and refuse to let schedule pressure compromise a readiness gate. You are equally comfortable on the data hall floor with a startup technician and in the conference room briefing senior leadership on readiness, risk, and forecast. You believe the digital economy depends on infrastructure that is proven before it is energized for customers, and you take ownership of making that proof rigorous. What You'll Do: As Senior Manager, Commissioning at Galaxy's Helios campus in Afton, TX, you will lead all commissioning efforts across the campus on behalf of Galaxy as owner and developer. You will report to the VP, Campus Construction Manager and manage a team of three Commissioning Managers, each assigned to a data center facility. You will work closely with the general contractor's on-site team and Galaxy's third-party commissioning agent, and you will partner with Construction, Pre-Construction, Design Engineering, and Operations to ensure every facility is installed, tested, and proven to design intent, and handed to operations ready for customer service. You will set the commissioning standard for the campus and hold every facility to it. Key Responsibilities: Own Campus Commissioning: Serve as Galaxy's single point of accountability for commissioning across the Helios campus, from design intent review through Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Set the campus-wide standards and quality bar. Lead the Commissioning Team: Manage three Commissioning Managers, each embedded at a data center facility. Standardize methods and reporting, balance resources across facilities, and develop talent. Define and Enforce the Commissioning Plan: Own the campus commissioning plan and its alignment to the Owner's Project Requirements and Basis of Design, including acceptance criteria, test standards, and readiness gates. Ensure these are written into GC, trade, and OEM scopes. Validate Testing and Design Intent: Review and approve test scripts, sequences of operation, and IST scenarios across critical power, mechanical cooling, and BAS/EPMS controls and telemetry. Ensure testing proves design intent, redundancy, and failure-mode response. Drive Execution with the General Contractor: Integrate commissioning into the Primavera P6 master schedule and work daily with the GC's commissioning lead and trade partners to confirm readiness, resourcing, and OEM startup support. Hold the GC accountable through readiness reviews, deficiency tracking, and commercial remedies. Direct the Third-Party Commissioning Agent and Issue Closeout: Manage the scope and performance of Galaxy's third-party agent, challenge findings, and maintain a campus-level issues log. Drive every item through root cause, corrective action, and retest to closure. Coordinate Energization and OFCI Equipment: Plan utility energization and load bank testing, enforcing safe work during energized testing in partnership with EHS. Align OFCI equipment delivery, factory testing, and manufacturer startup with the commissioning sequence. Adapt the commissioning sequence and author MOPs to complete Level 4-5 and IST activities after early data hall turnover, without lowering acceptance criteria. Deliver Operational Readiness and Customer Acceptance: Partner with Galaxy Operations and customer delivery teams on documentation, training, operating procedures, witnessed testing, and formal turnover, ensuring each facility meets acceptance criteria at handoff. Report Readiness and Standardize: Provide candid readiness reporting to the VP and senior leadership, and feed lessons learned into design standards, specifications, and Pre-Construction planning. Validate Controls, BAS/EPMS, and Telemetry: Ensure the BAS, EPMS, and associated controls are commissioned as a system, not just as individual points lists. Verify point-to-point integrity, alarm and trend configuration, and operator visibility across all critical power and mechanical systems, including through failure scenarios such as loss of utility, loss of a controls network or server, communication failure, and transfer events. Confirm that telemetry remains accurate and actionable so Operations can see, diagnose, and respond to any failure while redundancy is maintained. What We're Looking For: Bachelor's degree in Electrical or Mechanical Engineering, or a related discipline, or equivalent experience. 10+ years of experience commissioning mission-critical facilities, including 5+ years on large-scale data centers, with at least 3 years in a leadership role directing commissioning through Level 5 / IST. Demonstrated success leading commissioning across multiple concurrent facilities on a single campus. Experience managing and developing commissioning managers or engineers. Deep technical knowledge of critical power systems, including medium- and low-voltage distribution, protective relaying, UPS, batteries, generators, and transfer systems. Deep technical knowledge of mechanical cooling systems, including chilled water plants, heat rejection, air handling, pumps, and associated controls. Working knowledge of BMS, EPMS, and SCADA architectures, sequences of operation, and fire and life safety system integration. Experience developing, executing, and witnessing IST, including failure-mode and fault scenarios. Familiarity with ASHRAE Guideline 0, NETA acceptance testing standards, NFPA 70E, and NFPA 110. Experience directing GC commissioning teams and third-party commissioning agents, with strong command of test documentation, issue tracking, and P6 schedule integration. Familiarity with Procore, Primavera P6, Bluebeam, SharePoint, and commissioning management platforms. Full-time, on-site presence at Helios (Afton, TX) Preferred: Professional Engineer (PE) license or commissioning certification (e.g., CxA, CCP, BCxP), prior owner-side or owner's representative experience, and OSHA 30. What You Bring: A track record of leading and developing high-performing technical teams. The conviction to hold readiness gates under schedule pressure, backed by data and clear communication. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, rigor, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United States Workplace: Remote About the Team The Access Control team owns authorization across ClickHouse Cloud. We design and enforce the roles and permissions model, organization hierarchies, API key management, and security boundaries that every product surface and tenant depends on. Having recently shipped custom roles and fine-grained access, we are now evolving our architecture to support our largest enterprise customer structures. What You Will Do - Architect and build the next generation of our authorization model: multi-level organization hierarchies, workspace isolation, and resource-scoped roles. - Implement and enforce consistent authorization checks across all public and internal APIs. - Build tooling and migration pipelines to evolve live authorization models without downtime or customer disruption. - Partner cross-functionally with Product, Design, and Customer Identity teams to deliver seamless permission management UIs. What We Are Looking For - Experience: 6+ years building security platforms, access control engines, or core backend services at scale. - Domain Expertise: Deep knowledge of RBAC/ABAC policy models, fine-grained permission enforcement, multi-tenancy isolation, API keys, and SAML/SSO. - Core Stack: Excellent TypeScript/Node.js fundamentals and strong schema design skills in PostgreSQL or relational stores. - Migration Discipline: Proven track record of executing live customer data migrations and building high-correctness systems where failure is not an option. Ideal Backgrounds: Enterprise identity platforms, IAM security tools, zero-trust cloud infrastructure, or core authorization teams at major B2B SaaS companies. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma employees are among the most AI-active in the industry, and our Internal AI team, part of FTS (our Business Technology org), helps turn that energy into meaningful impact by making it easier for every Figmate, from Sales and Support to Finance, People, and Legal, to safely adopt AI and use it to improve how they work. We’re a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds, and this role is a key member of the Applied AI Builds pillar. As an AI Engineer, Internal Tools, you’ll work directly with teams across Figma to identify high-value AI opportunities and take them to production, moving from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed to make it useful in the real world. This isn’t a role focused only on building AI demos: you’ll own solutions through production, help determine where AI adds value and where traditional rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. As common patterns emerge, you’ll partner with our Platform & Tooling and Infrastructure teams to build reusable capabilities that make future AI builds faster and safer. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI Design, build, and productionize AI agents, assistants, and workflow automations that solve real business problems using LLMs, tool calling, RAG, structured outputs, agent frameworks, MCP, APIs, and enterprise data Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with our Internal AI platform teams Help define how Figma approaches Applied AI engineering and scales AI adoption across the company We’d love to hear from you if you have: 5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks Experience taking an AI application or workflow beyond a prototype and operating it in a production environment Strong API, integration, and system design fundamentals, with experience connecting applications across multiple systems and data sources and strong engineering judgment about when to apply AI and when a rules-based approach is the right choice, and experience designing reliable production systems with appropriate observability, failure handling, authentication, authorization, and security controls Experience working directly with non-engineering stakeholders to understand ambiguous business problems and translate them into technical solutions and ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution While it’s not required, it’s an added plus if you also have: A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack Knowledge of with AI evaluations, observability, prompt/version management, and human-in-the-loop systems Experience implementing enterprise identity and access patterns such as Okta, SSO, OAuth, and secure service-to-service authentication, within Security, Privacy, SOX/ITGC, or other enterprise governance requirements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.