Staff Engineer, Operational Safety Specialist (R5306)

🏢 Summary: Senior engineering role focused on leading Material Review Board processes for unmanned aircraft systems, including dispositioning nonconforming hardware, developing repair procedures, and supporting sustainment operations. The position partners across engineering, manufacturing, quality, and fleet support teams to ensure safe, reliable, and traceable repair governance for fielded aerospace systems. 🗂️ Requirements: 10+ years of MRB, quality engineering, manufacturing engineering, sustaining engineering, aerospace structures, aviation maintenance, or hardware sustainment experience, Experience dispositioning nonconforming hardware and repairable assemblies, Knowledge of MRB workflows, corrective action systems, inspection records, and engineering documentation, Experience developing repair procedures, rework instructions, and inspection criteria, Ability to interpret engineering drawings, specifications, manufacturing records, and repair records, Strong technical documentation and risk assessment skills, Experience collaborating with cross-functional engineering, manufacturing, quality, and supply chain teams, Ability to work independently and influence technical decisions 📃 Skills: MRB, AS9100, RCCA, FRACAS, PQDR, ITAR, ECO, ECR, Avionics, Manufacturing, Sustainment, Inspection, Repair, Quality, Aerospace, UAS, Engineering, Configuration 🏢 Description: Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. Job Description: The Principal Material Review Board Engineer leads the development and execution of Material Review Board processes for fielded UAS platforms and related systems. This role is responsible for dispositioning nonconforming hardware, developing standard repair procedures, and establishing scalable repair governance processes for post-production, depot, and field sustainment operations. This individual serves as a senior technical authority for repair development, nonconforming material disposition, returned material evaluation, production escape resolution, and sustainment repair governance. The role partners closely with responsible engineers, design engineering, manufacturing engineering, quality, supply chain, fleet support, sustainment engineering, and chief engineers to ensure repair dispositions protect structural integrity, safety, reliability, maintainability, configuration control, and fleet readiness. The Principal MRB Engineer supports sustainment by driving technically sound, traceable, and repeatable dispositions for damaged components, field returns, production escapes, supplier nonconformances, and hardware issues that affect aircraft availability and customer support. What you'll do: - Establish and mature the Material Review Board process for post-production hardware, fielded assemblies, depot repairs, and sustainment-related nonconformances. - Lead technical dispositions for nonconforming material, damaged hardware, returned components, field returns, production escapes, and repairable assemblies. - Develop standard repair procedures, repair limits, inspection criteria, and disposition guidance for recurring hardware issues. - Support returned material analysis, production quality deficiency reports, production escape investigations, and field hardware issue reviews. - Partner with responsible engineers, design engineering, manufacturing engineering, quality, fleet support, supply chain, and chief engineers to ensure dispositions are technically sound and executable. - Ensure MRB dispositions are documented, traceable, configuration-controlled, and aligned with engineering, quality, and sustainment requirements. - Identify trends in nonconformances, supplier issues, manufacturing defects, field damage, repair escapes, and recurring hardware failures. - Work with Failure Analysis, Reliability and Maintainability Engineering, and Root Cause and Corrective Action teams to resolve recurring hardware issues. - Partner with Manufacturing Engineering and Quality to improve inspection methods, acceptance criteria, repair execution, test processes, and production controls. - Support supplier quality investigations when supplier parts, materials, or assemblies impact aircraft sustainment or fleet readiness. - Provide technical input to corrective actions, product health reviews, repair governance reviews, and sustainment leadership updates. - Help ensure hardware issues are resolved in a way that protects safety, quality, reliability, configuration discipline, customer support, and fleet readiness. - Mentor engineers and cross-functional partners on MRB discipline, disposition quality, repair documentation, and sustainment repair governance. Required qualifications: - 10+ years of experience in Material Review Board, quality engineering, manufacturing engineering, sustaining engineering, aerospace structures, aviation maintenance, hardware product support, or complex hardware sustainment. - Demonstrated experience dispositioning nonconforming hardware, damaged components, returned material, production escapes, field failures, or repairable assemblies. - Strong understanding of nonconforming material processes, MRB workflows, repair dispositions, inspection records, engineering documentation, and corrective action systems. - Experience developing or approving repair procedures, rework instructions, inspection criteria, use-as-is dispositions, repair dispositions, or scrap/replacement recommendations. - Strong technical judgment with the ability to evaluate hardware issues based on safety, structural integrity, reliability, maintainability, configuration impact, and fleet readiness. - Experience working across engineering, quality, manufacturing, supply chain, fleet support, sustainment, and operations teams to resolve hardware issues. - Ability to interpret engineering drawings, specifications, inspection results, manufacturing records, repair records, and field evidence. - Strong documentation discipline, including the ability to write clear technical dispositions, repair rationale, risk assessments, and corrective action inputs. - Ability to operate independently as a principal technical IC and influence cross-functional decisions without direct authority. - Ability to balance engineering rigor, quality requirements, configuration control, field urgency, and customer support needs. Preferred qualifications: - Experience with aviation, defense, aerospace manufacturing, unmanned systems, aircraft sustainment, depot repair, field repair, or deployed hardware systems. - Experience with composite structures, metallic structures, bonded assemblies, fastened assemblies, avionics hardware, propulsion components, payload interfaces, or complex electromechanical assemblies. - Familiarity with RCCA, FRACAS, PQDR, AS9100, configuration management, ECO/ECR processes, service bulletins, maintenance releases, or field retrofit execution. - Experience supporting supplier quality investigations, production escape resolution, returned material analysis, depot repair development, or field repair governance. - Experience building scalable MRB processes, repair governance mechanisms, standard repair libraries, or sustainment disposition workflows. - Experience supporting military, government, international, or deployed aviation customers. - Familiarity with ITAR, export-controlled technical data, controlled customer environments, or defense operational support. - Active Secret or Top Secret clearance preferred. Full-time regular employee offer package: - Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: - Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by factors including skill set, level of experience, licenses and certifications, and work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.

🏢 Summary: Senior Data Scientist role focused on designing and optimizing AML and fraud detection models to strengthen financial crime compliance and transaction monitoring. The position involves building advanced analytics solutions, coverage assessment frameworks, and automated reporting to support BSA/AML, OFAC, and regulatory requirements. It is a cross-functional, high-impact role combining machine learning, compliance expertise, and scalable data solutions. 🗂️ Requirements: 7+ years data science experience in financial services, 4+ years experience in fraud and financial crime compliance, Master's degree in quantitative field, Experience building transaction monitoring models in regulated environment, Strong knowledge of BSA/AML and SAR processes, Understanding of sanctions screening and model risk management, Proficiency in Python and SQL, Experience supporting regulatory examinations, U.S. work authorization under ITAR requirements 📃 Skills: Python, SQL, MachineLearning, Statistics, AML, BSA, OFAC, SAR, FraudDetection, TransactionMonitoring, Compliance, ModelRisk, DataAnalytics, Dashboards, Automation, RPA 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions. This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives. Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators. Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring. Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools. Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps. Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages. Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics. BASIC QUALIFICATIONS: 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance. Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field. Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred). Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles. Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators. Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred. PREFERRED SKILLS AND EXPERIENCE: Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners. Background in building internal case management systems, SAR automation tools, or RPA solutions. Familiarity with AML detection platforms. Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency). COMPENSATION AND BENEFITS: $148,000- $220,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: On-site Environmental, Health, and Safety (EHS) role supporting the construction and operation of advanced AI infrastructure and large-scale compute facilities. The position focuses on regulatory compliance, hazard analysis, incident investigation, and implementation of safety programs across high-power, high-risk technical environments. It requires hands-on oversight of complex systems including electrical, cooling, and hazardous material operations. 🗂️ Requirements: Bachelor's degree in engineering, occupational safety, environmental science, or related field, 5+ years of experience in environmental, health, and safety program design and oversight, Experience in high-tech manufacturing, data centers, or industrial construction environments, Knowledge of OSHA, NFPA, NIOSH, EPA, CERCLA, RCRA, and DOT regulations, Ability to perform job hazard assessments and incident investigations, Experience with high-power electrical systems, cooling infrastructure, and hazardous materials, On-site availability and ability to relocate if required, Ability to obtain required security clearances or background checks 📃 Skills: OSHA, NFPA, NIOSH, EPA, CERCLA, RCRA, DOT, HAZCOM, CSP, EHS, Electrical, Cryogenics, HAZMAT, LOTO, PPE 🏢 Description: ABOUT THE ROLE: As part of the xAI EHS Team, you will provide timely, clear, and high-quality technical expertise and assist in the implementation of all environmental, health, and safety programs for the construction, expansion, and operation of advanced AI infrastructure and large-scale compute facilities. The ideal candidate is highly skilled in both environmental and occupational safety, hands-on, and thrives in a fast-paced, high-stakes environment. Responsibilities include supporting related programs to ensure overall operational success. RESPONSIBILITIES: Develop and maintain compliance with all applicable regulations and/or guidelines established by OSHA, NFPA, NIOSH, and other relevant regulatory agencies. Collaborate with department leadership, engineering teams, and facility managers to complete job hazard assessments and implement robust health and safety policies and procedures. Monitor employee exposure to physical and chemical hazards and develop recommendations for remedial actions when safety standards are not met. Develop and maintain compliance with all applicable regulations established by the EPA, CERCLA, RCRA, DOT, and other environmental and transportation agencies. Work closely with hardware engineers, construction teams, and operations technicians to perform detailed safety reviews of complex operations involving high-power systems, cooling infrastructure, and hazardous materials to ensure safe execution. Lead or assist in all aspects of incident investigations, including initial response, root cause analysis, corrective action development, and closure. Implement and develop safety and health programs, including but not limited to: OSHA general industry and construction standards HAZCOM, hazmat handling, cryogenics, high-pressure and high-voltage systems Confined space, fall protection, lock-out/tag-out, and electrical safety Develop practical safety solutions to resolve EHS hazards within cost and schedule constraints, following the hierarchy of controls (elimination, substitution, engineering controls, administrative controls, PPE) to maintain acceptable risk levels. Inspect facilities, machinery, and safety equipment to identify and correct potential hazards and ensure regulatory compliance. Develop, implement, and maintain safety contingency plans (fires, chemical spills, power events, etc.). BASIC QUALIFICATIONS: Bachelor's degree in engineering, occupational safety, environmental science, or a related field. 5+ years of experience in the design, development, and operational oversight of environmental, health, and safety programs in high-tech manufacturing, data centers, or industrial construction environments. PREFERRED SKILLS AND EXPERIENCE: Advanced degree in engineering (mechanical, electrical, chemical, or aerospace) with emphasis on occupational health and safety. Certified Safety Professional (CSP) or equivalent certification. Knowledge of process safety management, high-power electrical systems, liquid cooling infrastructure, and chemical delivery systems common in large-scale compute facilities. Strong knowledge and experience interpreting, applying, and documenting federal, state, and local safety and environmental regulations. Excellent organizational, communication, and interpersonal skills. ADDITIONAL REQUIREMENTS: On-site role requiring relocation if not local. May require extended hours, weekends, or on-call support during critical phases. Ability to obtain and maintain necessary security clearances or background checks.

🏢 Summary: Opportunity for a senior iOS Engineer to build a high-impact AI mobile application, owning features end-to-end from architecture to App Store release. The role focuses on crafting high-performance, pixel-perfect user experiences and integrating state-of-the-art AI models into responsive, real-time iOS apps. 🗂️ Requirements: Expert-level Swift proficiency, Deep knowledge of UIKit and SwiftUI, Experience with performance optimization (memory, CPU, GPU), Strong concurrency and reactive programming skills (Combine), Experience integrating APIs (REST or gRPC), Ability to design and ship pixel-perfect mobile UIs, Experience owning features end-to-end including architecture and App Store deployment 📃 Skills: Swift, UIKit, SwiftUI, Combine, REST, gRPC, Rust, AVFoundation, iOS, Xcode 🏢 Description: About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.ABOUT THE ROLE: We're seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating the world's most valuable AI application, judged by the impact it delivers to users. You'll shape cutting-edge mobile experiences, blending technical mastery with product brilliance. RESPONSIBILITIES: Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile. Obsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless. Build blazing-fast, highly performant systems where every millisecond counts. Drive technical and product decisions, collaborating with AI researchers and engineers to deploy state-of-the-art models globally. BASIC QUALIFICATIONS: Expert in Swift, with deep knowledge of UIKit and SwiftUI. Proficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems. Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI. Skilled in concurrency and reactive programming (Combine) for responsive, real-time apps. Built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow. Capable of owning complex features end-to-end, from architecture to App Store deployment, with a focus on speed and scalability. PREFERRED SKILLS AND EXPERIENCE: Deep expertise in the Apple ecosystem and related development tools. Rust for working with our backend components. AVFoundation for real-time audio processing. Track record of shipping standout apps or standout features within apps. Deep expertise in iOS development, particularly with Swift. We seek individuals who operate at the highest levels of their craft. Excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI—we must act decisively to succeed. A sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Senior Software Engineer role focused on building automation and observability solutions to enhance reliability across multi-data center AI infrastructure. The position combines strong programming skills with hands-on data center and Linux systems expertise to minimize downtime and optimize performance. It involves developing scalable services, improving monitoring and incident response, and collaborating across infrastructure and facility teams. 🗂️ Requirements: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent experience), 3+ years experience in SRE, Infrastructure, DevOps, or Systems Engineering in large-scale production environments, Strong production experience in Python, Solid Linux systems administration and kernel-level knowledge, Experience with containerization and orchestration (Docker, Kubernetes or similar), Experience implementing observability solutions (metrics, logging, tracing, monitoring, alerting), Understanding of networking fundamentals (TCP/IP, routing, DNS, redundancy), Experience troubleshooting distributed systems, hardware and network issues, Experience with on-call rotations and incident response practices (SLAs, error budgets), Ability to collaborate with cross-functional technical teams 📃 Skills: Python, Rust, Linux, Kubernetes, Docker, Prometheus, Grafana, TCP/IP, DNS, Scripting, Automation, Observability, Monitoring, Tracing, Networking 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a highly skilled Sr. Software Engineer to join our team in managing and enhancing reliability across a multi-data center environment. This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure. The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime—including close partnership with facility operations to address physical infrastructure impacts. In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities. By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation. The primary objective of this team is to mitigate downtime and minimize impact to end-users from both scheduled and unscheduled maintenance, as well as events affecting onsite data centers. This is achieved through proactive automation, robust observability, and integrated software-physical reliability strategies. RESPONSIBILITIES: - Design, develop, and deploy scalable code and services (primarily in Python and Rust) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning. - Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers. - Collaborate with cross-functional teams to identify reliability bottlenecks and automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation. - Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs. - Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration, and scripting for automation. - Understand network topologies and concepts in large-scale, multi-data center environments to troubleshoot connectivity, routing, redundancy, and performance issues. - Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives. - Mentor junior team members and document processes to foster a culture of automation and knowledge sharing. BASIC QUALIFICATIONS: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience). - 3+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering in large-scale, distributed, or production environments. - Strong programming skills with proven production experience in Python; experience with Rust or another systems-level language (e.g., Go, C++) is essential. - Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments. - Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes. - Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools, alerting, and dashboards. - Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors. - Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments. - Experience participating in on-call rotations, incident response, post-incident reviews, and reliability practices such as error budgets or SLAs. - Ability to collaborate effectively with cross-functional teams. PREFERRED SKILLS AND EXPERIENCE: - 5+ years of experience in SRE or infrastructure roles in hyperscale, cloud, or AI/ML training environments with multi-data center setups. - Hands-on experience operating or scaling Kubernetes clusters at large scale, including automation for provisioning and high availability. - Proficiency in Rust for systems programming and performance-critical components. - Experience integrating software reliability tools with physical data center infrastructure (power, cooling, environmental monitoring). - Experience building automated remediation, fault tolerance, disaster recovery, capacity planning, or predictive failure detection systems. - Background in optimizing Linux-based systems for AI workloads, GPU clusters, or high-throughput compute environments. - Experience with bare-metal provisioning, data center interconnects, or hybrid/multi-site failover mechanisms. - Mentoring experience and strong documentation skills. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: This role offers junior engineers the opportunity to build and deliver real product features in an AI-native engineering environment, using AI agents to accelerate development from idea to production. You will work across backend, frontend, mobile, and infrastructure layers in small autonomous teams, focusing on impactful, user-centered solutions. The position emphasizes hands-on development, technical growth, and collaboration on improving AI-driven workflows. 🗂️ Requirements: Minimum 1 year of software development experience, Experience building a real product, system, tool, or feature, Ability to work across backend, frontend, or mobile layers, Ability to collaborate with product, design, and engineering teams, Ability to learn and apply new technologies quickly, Interest in AI and AI-assisted development tools 📃 Skills: Go, MySQL, Kafka, Docker, Kubernetes, AWS, Redis, Next.js, React, TypeScript, GraphQL, Tailwind, Cloudflare, SwiftUI, Xcode, Combine, SPM, MVVM, Kotlin, Android, Hilt, Coroutines, Jetpack, Linux, GitLab, ArgoCD, Terraform, Helm, OpenSearch, Prometheus, Python, Golang, Claude, OpenAI, Codex, Cursor 🏢 Description: At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment. To build the best product for our customers we foster AI-native Product Engineering culture , where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable  tasks to  help the Engineers  maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work. We’re opening our doors to talented junior engineers - because impact isn’t measured in years of experience. It comes from your drive to learn, your discipline, and a sharp mind. It’s about building and shaping what’s around you - and Saily will give you the room to do exactly that. What can you expect from us? Hands-on experience with AI-assisted software development, shared openly. Full freedom to use whatever learning resources you need to keep up. A product that’s successful, impactful, and technically challenging - something you’ll actually want to build. Pack your skills, bring your vision, and join Saily ! Main Responsibilities Delivers small tools/features with support from the team. Collaborate with product, design, and other engineers. Operate in small, highly autonomous teams. Learn how to use AI agents for specs, coding, analysis, testing, and iteration. Take part in the improvements of our internal agent network and development workflows. Focus on user and business outcomes, not output. Core requirements 1+ year of software development experience building something real (product, system, tool, startup, side project, meaningful feature, or student project) You value autonomy over stability and process You enjoy working across layers instead of staying in one box You think in problems and outcomes, not tickets You are comfortable with ambiguity You can learn new technologies quickly You are curious about AI and excited to work with agents Tools You Will Use Backend: Go, MySQL, Kafka, Docker, Kubernetes, AWS, Redis Frontend: Next.js, React.js , TypeScript, GraphQL, Tailwind CSS, Cloudflare Workers IOS: SwiftUI, Xcode, Combine, SPM, MVVM Architecture Android: Kotlin, Android Studio, Hilt, Coroutines, Jetpack Compose, MVVM Architecture Infra: Linux, Docker, GitLab, ArgoCD, AWS, Terraform, Helm, OpenSearch, Prometheus, Python / Golang AI tools: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer Salary Range Gross salary:  18,100 — 24,400 PLN / month What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world. Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Hybrid work Enjoy the flexibility with 3 office days and working from home for the remaining 2. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together.

🏢 Summary: Cybersecurity / SRE role focused on securing and maintaining the reliability of a large-scale fintech platform operating in hybrid cloud environments. The position emphasizes Kubernetes and container security, SIEM management, CI/CD protection, and automation using Python and infrastructure-as-code tools. Candidates will work on mission-critical distributed systems, ensuring regulatory compliance and resilient security operations at scale. 🗂️ Requirements: Experience securing hybrid AWS/on-premises environments, Strong proficiency in Python, Strong proficiency in Terraform, Strong proficiency in Puppet, Deep expertise in Kubernetes, Experience with container security, Hands-on experience with GitHub Actions, Experience with Prometheus, Experience with Grafana, Experience with CloudWatch, Experience with Karma, Experience managing and integrating Wazuh, Experience with security scanning tools (Semgrep, Trivy, Falco), Experience with IAM and security posture management, Ability to comply with PCI and NIST CSF standards, Located in SF Bay Area or willing to relocate 📃 Skills: AWS, IAM, Python, Terraform, Puppet, Kubernetes, Docker, GitHub, Prometheus, Grafana, CloudWatch, Karma, Wazuh, Semgrep, Trivy, Falco, PCI, NIST, CI/CD 🏢 Description: ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Cybersecurity / SRE team is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform. The ideal candidate will have experience in the banking, money transmission, and P2P payments industry. We emphasize working with large distributed systems and security platforms at scale, with an automation-first mindset. You'll be responsible for securing and maintaining the reliability of X Money's infrastructure. You'll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices. RESPONSIBILITIES: - Build and secure mission-critical applications in a hybrid cloud environment. - Manage identities and roles effectively. - Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF). - Maintain a SIEM and all data pipelines needed for reliable alerting. - Design and implement secure container standards and automation to enable frictionless developer workflows. - Maintain Kubernetes security aligned with current best practices. - Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet. - Secure and enhance CI/CD pipelines. - Integrate and maintain code scanning platforms. - Develop dashboards and alerts from security metrics. - Own security projects: identify issues and implement solutions. - Apply critical analysis and problem-solving skills. BASIC QUALIFICATIONS: - Proven experience securing hybrid AWS/on-premises environments, including IAM and overall security posture. - Strong proficiency in Python, Terraform, and Puppet. - Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred. - Deep expertise in Kubernetes and container security. - Hands-on expertise building GitHub Actions and workflows. - Extensive experience with Prometheus, Grafana, CloudWatch, and Karma. - Well versed in management and integrations of Wazuh. - Hands-on experience with security scanning tools (Semgrep, Trivy, Falco). - Proactive mindset with strong ownership and problem-solving skills. - Excellent critical thinking and analytical abilities. - Located in the SF Bay Area or willing to relocate. COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

🏢 Summary: Operations Specialist role supporting autonomous truck testing and commercial freight operations, focused on safe operation of self-driving vehicles and system feedback. The position includes operating autonomous trucks on public roads, monitoring system performance, and maintaining strict safety compliance. Benefits include competitive hourly pay, bonus opportunities, full healthcare coverage, retirement matching, and open PTO. 🗂️ Requirements: 7+ years of Class A driving experience, Valid Class A CDL, Airbrake Endorsement, Current DOT Medical Certificate, Strictly clean MVR, No reckless driving or license suspensions/revocations, No moving violations within the last 7 years, Pass pre-employment drug/alcohol screening, Pass sleep apnea screening, Ability to operate autonomous trucks safely on public roads 📃 Skills: CDL, DOT, Autonomy, Trucking, Smartphone, Tablet 🏢 Description: About Stack: Stack is developing AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency in trucking transportation. The company develops autonomous technology using artificial intelligence, robotics, machine learning, and cloud technologies. About the Team: The Development Fleet Operations team is responsible for the safe testing and operation of new technologies. As an Operations Specialist you will contribute to the daily driving and testing of autonomous trucks, ensure operational safety, and provide feedback on system performance while hauling commercial freight. Responsibilities: - Safely operate autonomous trucks on public roads to support development testing and commercial pilot operations - Haul commercial freight between customer locations and/or meet points - Provide feedback on system performance to advance self-driving technology - Utilize internal tools on a smartphone/tablet to track assigned and completed work - Uphold industry-leading safety standards and remain compliant with internal benchmarks - Remain alert and attentive while operating during extended stretches of autonomy Benefits & Perks: - Compensation: $32.00 – $37.00/hr + Annual Bonus + Profit Sharing - Stack covers 100% of Medical, Dental, and Vision healthcare premiums for employees and families - 401(k) plan with company match and annual profit-sharing contribution - Open PTO policy and 11 paid company holidays - 100% no-touch freight with no loading or unloading of trailers Qualifications & Safety Standards: - 7+ years of Class A driving experience - Valid Class A CDL with Airbrake Endorsement - Current DOT Medical Certificate - Strictly clean MVR required - No history of reckless driving, leaving the scene of an accident, or license suspensions/revocations - No moving violations within the last 7 years, including speeding, distracted driving, improper lane changes, or unlawful passing - Must pass pre-employment drug/alcohol screening and sleep apnea screening Additional Information: This position may require verification of residence, U.S. person status, and/or citizenship status due to applicable national security laws and export control regulations.

🏢 Summary: AI network software engineering role focused on building automation-first tools and services for large-scale GPU supercomputing network fabrics. The position involves developing scalable network management systems, implementing infrastructure-as-code practices, and improving deployment reliability for AI training and inference environments. 🗂️ Requirements: Deep experience collaborating with network engineers, Strong knowledge of network topologies, Strong knowledge of network protocols, Experience designing scalable and reliable software systems, Ability to orchestrate large-scale network devices, Experience with infrastructure-as-code practices, Strong communication skills, Ability to work hands-on in ambiguous environments 📃 Skills: Python, Go, TCP/IP, BGP, RDMA, IaC, Networking, Automation 🏢 Description: SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As part of the Network Software and Services for AI (nssAI) team at xAI, you'll build cutting-edge software, services, and frameworks to empower our Network Development Engineers. Working hands-on, you'll tackle all facets of network management—metric collection, configuration, zero-touch provisioning, monitoring, and auto-remediation—driving automation-first solutions for production and ancillary networks. Expect to develop extensible tools, streamline complex processes, and ensure rock-solid reliability to support AI-driven scientific discovery. Focus - Building software and tools with extensive metrics coverage for large GPU supercomputing network fabrics used for AI training and customer inference queries. - Implementing IaC best practices, enhancing deployment pipelines, and ensuring robust, secure service delivery across production environments. Preferred Skills and Experience - Deep experience collaborating with network engineers using extensive knowledge of network topologies and network protocols. - Expert knowledge and proven history designing scalable and reliable software systems from the ground up. - Ability to build and orchestrate tens of thousands of network devices efficiently. - Ability to thrive in ambiguity and create metrics that help prioritize team focus. Tech Stack - Python - Go - TCP/IP - BGP - RDMA Annual Salary Range - $150,000 - $250,000 base Benefits - Equity package - Medical, vision, and dental coverage - 401(k) retirement plan - Short and long-term disability insurance - Life insurance - Additional discounts and perks SpaceXAI is an equal opportunity employer. For details on data processing, view the Recruitment Privacy Notice.

🏢 Summary: Staff Software Engineer role focused on designing and implementing cloud security guardrails in a multi-cloud environment, translating security and compliance standards into code-driven policies. The position centers on IAM, network security, and platform security architecture to enforce real-time security posture across distributed systems. 🗂️ Requirements: 8+ years experience in information security in cloud-native environments, Hands-on expertise with Kubernetes (EKS, AKS) and cloud security, Strong knowledge of secure network architecture and PKI, Experience designing IAM policies with least privilege principle, Experience implementing Policy-as-Code in Terraform workflows, Experience conducting risk assessments for distributed systems, Ability to access federal environments and provide U.S. Person documentation, Bachelor’s degree in Computer Science, Information Security, Systems Engineering or related field 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, IAM, Terraform, PKI, VPC, VPN, SCP, AzurePolicy, Python, Go, JavaScript, Istio, AI 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies. What You Will Do Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction. Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind. Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity. Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase. System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams. Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions. What You Bring Cloud & Infrastructure Expertise: 8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security. Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures. Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows. Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems. Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance. Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals. Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field. Nice to Have Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment. Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript. Experience creating, managing, and securing containerized environments. Experience with service mesh (Istio) security policies and zero-trust networking. Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. #LI-HYBRID#LI-SH1P-1609.1_3388437Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$174,000—$239,000 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.