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Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead application security through that shift and beyond. You'll set the review bar and standards for agentic systems, and you'll architect the agents our security team uses to scale its work. It is a hands-on, organization-level role for someone who does well in ambiguity and gets results through knowledge, influence, and the help of their team. You will: Lead security reviews and threat models of AI features and agentic systems — including autonomous agents, MCP servers, and third-party integrations — and keep review playbooks and quality criteria current Set BambooHR's security standards for AI agents, covering identity and delegated authorization, tenant- and user-scoped data access, safe handling of tool output, tool supply chain, and human-approval requirements, and track adoption as threats evolve Own the design of agents the security team uses for finding validation, triage, review assistance, and remediation — building and shipping them with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions Help developers and security champions build and use agents safely through self-serve guidance and tooling, and advocate for the partner-team investment that work requires Work with engineering and product leadership to embed security requirements into the SDLC, including design-time and release-time gates for AI features, and make agent-assisted code review, finding validation, and fix suggestions a default part of every team's CI/CD pipeline with clear blocking criteria and a fast exception path Run security programs that span multiple teams and quarters — setting goals, milestones, and success metrics; maintaining a lightweight intake, prioritization, and retrospective cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort across teams, act as a point of escalation, and coach leaders on security tradeoffs Partner with Legal, Privacy, and GRC on AI governance to close gaps between policy intent and technical implementation through guardrails and automation, including for emerging AI regulations Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features Mentor fellow security engineers on technical direction and career growth, and close skill gaps on the security team through onboarding, training, and mentorship Participate in an on-call rotation as needed to support incident response and resolve escalated security issues What You Need to Get the Job Done Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience 8+ years of experience in security, including 5+ years of hands-on experience in application security Experience securing multi-tenant SaaS platforms, including tenant isolation Cloud and infrastructure security experience (e.g., AWS, Azure, GCP) Hands-on experience building AI agents or agentic workflows, with concrete examples of how you handled permissions, failures, and validation — production systems, internal tools, personal or open-source projects, and substantial prototypes all count Demonstrated ability to evaluate the security of AI and agentic systems, including prompt injection, tool and context poisoning, excessive agency, delegated authorization, data leakage, and supply-chain risk in models and tools; familiarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, or comparable frameworks Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools other people depend on A track record of influencing without authority: leading cross-team initiatives, building business cases, and explaining technical risk in business terms to engineering, product, legal, and leadership audiences Experience mentoring engineers, formally or informally Sound judgment in ambiguous situations, including the ability to explain a tradeoff, recommend a mitigation, and bring risk-acceptance decisions to the right owner What Will Make Us REALLY Love You Experience securing MCP servers and gateways Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001) Relevant security certifications (e.g., CSSLP, OSWE, GWAPT) Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you #LI-Remote About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Prototype Engineer to join our Hardware team based in Boston. This is a hands-on role where you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. WHAT YOU’LL DO - Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams. - Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations. - Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles. - Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms. - Identify and own opportunities for continuous process and product improvement—minimizing downtime and improving test/repair efficiency. - Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. WHAT WE'RE LOOKING FOR - Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems. - Track record communicating concisely via documentation—procedures, test plans, diagnostics, and lessons learned. - Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. - Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics is a plus. - Familiarity with automated test and diagnostic tools used in modern hardware labs. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $115K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Chicago, NYC, Dallas 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 A collaborative and strategic leader with deep hands-on experience in Site Reliability Engineering (SRE) and infrastructure Automation on our Data Center team. You are comfortable steering the vision for an enterprise automation roadmap while remaining technical enough to dive into the code. You treat infrastructure as a product, ensuring that your automation workflows are as reliable as the services they deploy. You have a proven track record of managing complex hybrid environments and are proactive in building self-service platforms that enhance engineering velocity and system stability. Responsibilities Automation Platform Leadership : Oversee a specialized SRE team focused on the design, deployment, and maintenance of automation toolsets as well as the systems they interact with. Infrastructure as Code (IaC) Governance : Establish and enforce standards for IaC to ensure consistent, repeatable, and secure deployments across an entire infrastructure ecosystem. Strong proficiency in Terraform is required. Configuration Management : Lead the strategy for automated configuration and state management, ensuring Ansible playbooks and Packer image pipelines are optimized for both Windows, Linux, and ESXi Platforms. Monitoring & Observability : Manage the monitoring and health of the automation platforms themselves. Implement SLIs/SLOs to ensure the "tools that build the servers" are highly available and performant. Lifecycle Management : Drive the automated lifecycle of both physical and virtual assets, from initial template creation/deployment to automated patching, scaling, and decommissioning. Custom Tooling & Scripting : Lead the development of custom scripts and internal providers (Python, Go, PowerShell, Bash) to provide better insights and tooling for our systems. Collaboration: Outside of the automation team you will need to be able to collaborate and foster workflows alongside the rest of the Datacenter team and be able to facilitate needs for the team as a whole. Capacity & Performance : Analyze system behavior and resource utilization in virtual environments to optimize the performance of automated deployments. Mentorship & Growth : Provide technical guidance and career mentorship to SREs, fostering a culture of "automate-first" and continuous improvement. Requirements 6-10 years’ experience in Infrastructure, SRE or DevOps, specifically focused on infrastructure automation at scale. Deep proficiency with Terraform (providers, modules, state management) and Ansible (roles, playbooks, Tower/AWX). Hands-on experience with Image Creation (i.e. Packer, Ansible, SCCM) to build standardized, hardened images for both Windows and Linux in hybrid environments. Strong experience managing and automating virtual platforms such as VMware (vSphere/vCenter) as well as Cloud providers such as Azure and AWS. High-level scripting skills in mediums such as Python, Go, PowerShell, and Bash. Experience with observability tools (Splunk, ELK, Prometheus, or Grafana) to monitor infrastructure health and automation telemetry. Good understanding of Network topology and design as well as experience with platforms such as Juniper Networks or Palo Alto. Strong mastery of Git (branching strategies, PR workflows) and CI/CD platforms (Jenkins, GitLab CI, or GitHub Actions). Equal comfort managing, troubleshooting, and tuning performance for both Windows Server and Linux. Nice to Have Previous work experience includes notable periods of team leadership and or management. Experience with IAM platforms such as Entra ID, Active Directory, and Okta. Experience with Storage solutions both block based and object based hosted either on-prem (HP Alletra, EMC, DDN) or in cloud (S3, Azure Blob). Storage Backup/DR administration and management with Commvault or Veeam. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. 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: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Metadata is a key component of the Box Content Cloud, enabling customers to add rich context to their files and transforming them into actionable, intelligent content. In its current iteration, it's used across the enterprise to organize, discover, annotate, secure, and retain content at massive scale. Metadata Platform adoption continues to grow exponentially as more core Box products, such as Shield, Automate, Extract, Sign, and Governance, rely on it internally, and as our customers build mission-critical custom applications leveraging its capabilities. But we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver Box's next-generation Metadata Platform, we are looking for an Engineering Manager II to lead, grow, and mentor a team of talented, collaborative engineers responsible for developing and scaling these foundational capabilities. In this role, your technical leadership and people management will ensure our platform capabilities are delivered securely, reliably, and compliantly worldwide, while fostering a team culture of high ownership, innovation, and engineering excellence. The work you and your team do will have an immediate and lasting impact on how millions of users at the world's most important enterprises manage and work with their critical content. WHAT YOU’LL DO Partner with product management and technical leadership to define platform vision and roadmaps. Lead, coach, and develop a team of engineers focused on building scalable distributed systems, enabling them to do their best work. Lead design and implementation efforts for new services and components of our platform, from the ground up. Drive design and implementation of scalable services with a focus on reliability, observability, operability and efficiency. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, Elasticsearch, Spark, Istio, etc. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. WHO YOU ARE You have 6+ years of experience in software engineering with 2 or more of those years in a management role You have proven experience managing and scaling high-performing engineering teams in complex, large-scale production environments You are an excellent communicator, able to clearly articulate technical vision and foster alignment across diverse stakeholders. You are a collaborative leader who empowers engineers, promotes ownership, and drives accountability You have experience owning and operating highly available business critical systems. You have a Bachelors degree or higher in Computer Engineering, or a related field. Based in or willing to work from our Redwood City office at least 3 days per week Nice to Haves Familiarity with Elasticsearch/Solr/Lucene or other information retrieval systems. Familiarity with the RAG pattern and vector/semantic search systems. Experience with public clouds like Google Cloud Platform, Amazon Web Services or Azure. Experience deploying and operating high volume and velocity microservices on Kubernetes. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,500 USD

Location: Los Angeles, USA Riot is building the capabilities to carry AI and machine learning from promise, through prototype, into reliable production systems. AI Foundations helps make that possible by building shared platforms and enabling teams across Riot to deliver meaningful AI-powered outcomes. We are looking for an engineering leader to oversee the AI Foundations engineering organization. You will be accountable for the technical impact of the group including organizational health, operational excellence, software and machine learning craft quality, and engineering output. All Engineering Managers in AI Foundations will report into this role. You will partner with product and executive leaders to connect Riot’s goals to a clear charter, long-term roadmap, and investment choices. The role calls for an organization-level leader who stays technically engaged: close enough to understand the engineering realities, guide important decisions, and address risks, while creating the clarity and space for managers and teams to lead execution. Responsibilities: Set technical strategy and direction. Work with product and engineering partners to shape AI Foundations’ charter, priorities, and long-term roadmap. Translate organizational goals into clear outcomes, make deliberate investment and trade-off decisions, and explain what the organization will and will not take on. Lead and develop the engineering management organization. Set clear expectations, coach managers to take ownership and deliver results, uphold a consistent engineering-management and performance bar, and identify and develop future leaders. Own the organization’s results. Be accountable for the total output and outcomes of multiple teams. Ensure teams understand their goals and value, evaluate commitments against the roadmap, make delivery and risks visible, and act quickly to unblock or accelerate work when needed. Build the organization and its capabilities. Plan for future staffing and skills, identify gaps against the roadmap, and develop role or team proposals grounded in opportunity and cost. Partner with Talent on hiring and onboarding, make hiring decisions at the appropriate level, and drive strategic planning, forecasting, and compensation planning for the organization. Guide technical quality and operational ownership. Stay engaged in the technical outcomes across AI/ML, software, data, and agentic systems. Build alignment on architecture and technical strategy; ensure teams deliver reliable, secure, maintainable production systems with appropriate evaluation, observability, incident response, and ownership. Make sound trade-offs across quality, reliability, latency, cost, and technical sustainability. Improve how the organization works. Build operating mechanisms that improve efficiency, team health, and delivery transparency. Address recurring friction, misalignment, and unresolved risks directly. Ensure the organization learns from operational issues and changes course as needed. Create leverage across Riot. Build trusted partnerships across game teams and central functions. Share reusable engineering patterns, platform capabilities, evaluation approaches, and lessons learned so AI Foundations’ work strengthens Riot’s ability to build and operate AI systems beyond any one team. Communicate with clarity. Make decisions, trade-offs, and uncertainty legible to managers, engineers, product partners, game leaders, and executives. Surface risks early, give timely and actionable feedback, and resolve difficult conversations with candor and sound judgment. Required Qualifications: 12+ years of industry experience in software engineering, machine learning engineering, AI, or a closely related discipline, including 8+ years of management experience. Proven ability to coach managers, set clear expectations, manage performance, develop future leaders, and maintain a high and consistent engineering bar with accountability for organization-wide outcomes. A strong record of building, shipping, and operating production software, AI/ML systems, or platforms that deliver measurable value to players, customers, or internal teams. Strong technical credibility and judgment across software systems and AI/ML—sufficient to assess architecture, quality, operational health, reliability, scale, security, cost, and user impact, and to guide technical direction across teams. Demonstrated ability to turn ambiguous product or business needs into an organization strategy, long-term roadmap, measurable outcomes, and clear priorities; make trade-offs based on mission, capacity, and impact; and maintain alignment as plans change. Experience shaping organizational capacity and capabilities, including identifying skills gaps, planning staffing, and making sound hiring and investment decisions. Demonstrated ability to build trust and influence across organizational boundaries, including with product, game, platform, data, research, and executive partners. Excellent written and verbal communication, with a bias toward clarity, explicit ownership, timely feedback, and candid discussion of uncertainty. Sound judgment around responsible AI and production risk, including privacy, security, safety, and the operational consequences of deploying AI-enabled systems. Experience in live-service games, interactive entertainment, consumer products, or other high-scale, real-time environments. Experience with one or more areas such as generative AI, LLM applications, agentic systems, personalization, recommendations, ranking, player modeling, game AI, reinforcement learning, computer vision, or multimodal systems. Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field; or equivalent practical experience. Desired Qualifications: Experience partnering across data engineering and platform teams on model development and operations, including data and feature pipelines, inference services, orchestration, model registries, evaluation, or ML observability. Experience building AI/ML products, shared platforms, developer tools, or technical capabilities used by multiple product groups. Graduate degree in Computer Science, Engineering, Machine Learning, or a related field. For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about p layers' experiences, this is the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Europe Workplace: Remote OUR VISION & PRODUCTS 🚀 EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we’re only just getting started! OUR TEAM We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) YOUR ROLE Most LLM roles stop at experimentation. Here, the models you improve power experiences for 50M+ users. Most of our traffic runs on self-hosted, fine-tuned open-weight models. On our internal roleplay evals, our smaller fine-tuned models can outperform much larger off-the-shelf models. Your job is to make them better. You’ll join a small AI team led by Marco, our LLM Tech Lead, working closely with our CTO, Product, Web and DevOps teams. You’ll work across data, post-training, evals, and model behavior, taking ideas from failure analysis to production. The problems are real: personalization, character consistency, long conversations, better evals, multilingual behavior, and faster training cycles. If you want to shape model behavior at consumer scale, this is the role. KEY RESPONSIBILITIES - Fine-tune open-weight LLMs using SFT, LoRA/QLoRA and post-training methods such as DPO and GRPO - Diagnose model failures and turn them into experiments. Decide whether the answer is better data, post-training, prompting or classifiers - Build training data and evals that directly shape what gets trained next - Improve model behavior across personalization, consistency, tone, multilingual and group interactions - Ship to production and use real user behavior to guide the next iteration - Speed up the training loop so experiments are faster, easier to compare, and more reproducible YOUR QUALIFICATIONS - You’ve personally post-trained open-weight LLMs for a user-facing product and shipped them to production - You’ve worked where AI was core to the product or business, not an experimental side feature - Fine-tuning is core to your experience - Strong Python, PyTorch and Hugging Face, with hands-on GPU training and debugging - You build data and evals yourself and make decisions from evidence - You can take work beyond notebooks into production - You use AI tools daily in your own engineering work - You are fully comfortable working with uncensored models and explicit NSFW content, including harmful material when developing and evaluating moderation system BONUS POINTS - Experience with conversational AI, roleplay products, or highly personalized consumer AI - Multilingual LLMs - Moderation, safety, or adversarial testing - Multimodal models - Open-source LLM / post-training contributions WHY EVERAI? 📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond 🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it 🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance 🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship 👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity 🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale WHAT WE OFFER ✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows 🎯 TOP TIER TALENT IS OUR MULTIPLIER We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with. We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that’s you — reach out and apply!

Location: Poland; Portugal; Ukraine Workplace: Remote Help scale the infrastructure behind a real-time iGaming platform serving 150M+ players worldwide while leading our SRE and Platform Engineering teams.   ABOUT PATRIANNA At Patrianna, we build a high-performance B2B platform for the global iGaming industry, enabling partners to launch and scale digital gaming products across multiple international markets. Our platform serves as the foundation for multiple gaming brands, providing the core systems that power gameplay, integrations, and platform capabilities across different markets. We operate in a fast-moving scale-up environment where impact matters more than process for its own sake. Teams are trusted to take ownership of the systems they build and the outcomes they deliver. Our engineering culture is built around a few core principles: - Pragmatic execution: We focus on solving meaningful engineering problems and delivering reliable systems without unnecessary bureaucracy; - Clear ownership and accountability: Teams operate within defined responsibilities and leadership structures that ensure decisions are made and outcomes are delivered; - Technical depth matters: We value engineers and managers who understand their systems deeply and make thoughtful technical decisions; - Direct communication: We address problems openly, challenge assumptions, and resolve issues quickly. We believe strong engineering leadership starts with technical credibility and ownership of outcomes.   AI-DRIVEN ENGINEERING CULTURE We are actively building an AI-driven engineering organization with a clear and deliberate stance: artificial intelligence is a core part of how we build and deliver software — not an experiment, not a trend, and not an optional add-on. AI is embedded into our engineering workflows, from system design and prototyping to refactoring, testing, and code review. We expect engineers to be fully comfortable working in AI-driven environments and to treat AI as a primary productivity multiplier. Strong engineering judgment, architectural ownership, and accountability remain essential—AI amplifies our engineers, it doesn’t replace responsibility for technical decisions.   THE ROLE We are looking for a hands-on Engineering Manager to lead our DevOps function across two specialized engineering teams: Site Reliability Engineering (SRE) and Platform Engineering. The SRE team is focused on production reliability, availability, observability, incident management, operational excellence, and continuously improving the resilience of our systems. The Platform Engineering team works on larger strategic initiatives that evolve our infrastructure and engineering platform — improving scalability, automation, developer experience, deployment capabilities, infrastructure architecture, and operational efficiency. You will be responsible for ensuring both teams have clear roadmaps, well-defined priorities, realistic commitments, and strong execution. You will create the structure and engineering practices necessary for teams to deliver complex infrastructure initiatives predictably while maintaining the reliability of a rapidly growing production platform. This is not a coordination-only management role. We expect our DevOps Engineering Manager to have deep technical expertise and remain close to the technology. You should be capable of understanding infrastructure architecture in depth, challenging technical decisions, reviewing proposed solutions, troubleshooting complex production problems, and working hands-on with the platform when necessary. You will combine the technical depth of a senior DevOps/Platform engineer with strong engineering and operational management, delivery, and people leadership skills.   WHAT YOU WILL BE DOING Management & Delivery: - Own the DevOps roadmap and delivery outcomes – establish clear roadmaps across SRE and Platform Engineering, translate priorities into concrete initiatives and commitments, and ensure teams deliver against realistic timelines; - Drive predictable execution – establish effective planning and execution practices, track progress against commitments, identify delivery risks early, manage dependencies, and ensure clear ownership of initiatives; - Lead SRE and Platform Engineering – provide leadership across both operational reliability and longer-term platform development, balancing immediate production needs with strategic infrastructure improvements; - Own people management – manage and develop DevOps engineers, including performance reviews, career development, compensation and promotion input, hiring, team structure, and handling performance concerns when needed; - Partner with engineering teams – work closely with Engineering Managers, Team Leads, and engineers across the organization to understand infrastructure needs, resolve systemic problems, and ensure the platform enables rather than blocks product delivery. Technical Leadership: - Provide hands-on technical leadership – stay close to infrastructure and production systems, participate in architecture discussions, challenge technical decisions, review proposed solutions, and contribute directly when complex problems require it; - Drive platform reliability – continuously improve availability, resilience, observability, incident response, capacity management, and operational readiness across the platform; - Strengthen incident management – ensure incidents are handled effectively, root causes are understood, postmortems produce meaningful actions, and recurring operational problems are systematically eliminated; - Evolve the engineering platform – drive initiatives around Kubernetes, cloud infrastructure, CI/CD, GitOps, Infrastructure as Code, observability, scalability, security, and developer experience; - Improve engineering effectiveness – identify bottlenecks, repetitive operational work, and inefficient processes, and drive automation and platform improvements that increase engineering productivity; - Drive infrastructure efficiency – continuously evaluate infrastructure architecture, resource utilization, and cloud costs, identifying opportunities to improve performance and reliability while keeping the platform cost-efficient.   WHAT WE ARE LOOKING FOR Leadership & Management Requirements: - Engineering leadership experience – proven experience leading infrastructure, DevOps, SRE, or Platform Engineering teams while balancing technical leadership, delivery ownership, and people management; - Strong delivery ownership – ability to build realistic roadmaps, break complex technical initiatives into executable work, establish commitments and deadlines, identify risks, and drive initiatives through to completion; - Strong communication skills – able to communicate clearly with engineers and leadership, challenge assumptions constructively, explain technical trade-offs, and create alignment around priorities and decisions. Technical Requirements: - Deep hands-on DevOps expertise – extensive experience building and operating production infrastructure, with the technical depth expected from a Senior/Lead/Staff-level DevOps, SRE, or Platform Engineer; - Strong Google Cloud Platform experience – deep production experience with GCP, including GKE, Compute Engine, networking, IAM, DNS, load balancing, and cloud cost optimization; - Deep Kubernetes expertise – strong understanding of Kubernetes architecture, networking, ingress, storage, autoscaling, security, cluster lifecycle, and production troubleshooting; - Infrastructure as Code expertise – strong production experience with Terraform/Terragrunt, Helm, and infrastructure automation; - CI/CD and GitOps expertise – strong experience designing and operating modern delivery platforms using technologies such as Argo CD, GitHub Actions, Jenkins, or Azure DevOps; - Strong production operations background – experience operating high-availability production environments, participating in on-call rotations, troubleshooting distributed systems, and leading incident response; - Observability expertise – strong understanding of metrics, logs, tracing, alerting, SLOs, and production monitoring using technologies such as Prometheus, Grafana, Loki/ELK, or similar platforms; - Strong systems thinking – ability to reason about complex distributed systems, understand dependencies and failure modes, and make pragmatic architectural trade-offs across reliability, scalability, delivery speed, and cost.   NICE TO HAVE - Experience leading both SRE and Platform Engineering teams; - Experience operating high-load, real-time distributed platforms; - Experience defining and operating SLOs, SLIs, and error budgets; - Experience building internal developer platforms or developer self-service capabilities; - Experience with Kafka and large-scale event-driven systems; - Experience with PostgreSQL/AlloyDB and Redis; - Experience driving cloud infrastructure cost optimization / FinOps initiatives; - Experience in iGaming; - Experience working in product companies or fast-growing scale-ups; - Previous experience as a Staff/Principal DevOps Engineer, SRE, Platform Engineer, or Infrastructure Architect.   OUR TECH STACK - Google Cloud Platform; - Kubernetes / GKE; - Terraform / Terragrunt; - Helm; - Argo CD; - Jenkins / GitHub Actions / Azure DevOps; - Kafka; - AlloyDB for PostgreSQL; - Redis / Memcached; - Prometheus / Grafana; - Loki / ELK; - Sentry; - Jira / Confluence / Slack / Bitbucket.   WHAT SUCCESS LOOKS LIKE IN THIS ROLE After 3 months: You understand our infrastructure architecture, production environment, operational challenges, and the responsibilities of the SRE and Platform Engineering teams. Both teams have clear ownership, priorities, and roadmaps. After 6 months: SRE and Platform Engineering operate against clear commitments with predictable execution. Reliability and operational problems are systematically tracked and addressed, while strategic platform initiatives move forward according to the roadmap. After 12 months: The DevOps function operates as a high-performing engineering organization with strong technical ownership, predictable delivery, mature reliability practices, and a platform roadmap that measurably improves scalability, developer productivity, operational efficiency, and infrastructure reliability.   WHY YOU’LL LOVE IT You’ll have significant ownership over the infrastructure and engineering platform behind systems serving millions of players worldwide. You’ll work on problems where reliability, scalability, automation, developer productivity, and infrastructure architecture have direct business impact. This role allows you to shape both how our production platform operates today and how our engineering platform evolves for the future. You’ll lead highly technical engineers while remaining close enough to the technology to influence architecture, solve difficult engineering problems, and see the direct impact of your decisions. We operate with minimal bureaucracy, fast decision-making, and a strong expectation of ownership. What's on offer: 1. Full remote flexibility — work from wherever you do your best thinking; 2. Generous paid time off, including vacation, sick leave, and bank holidays; 3. Genuine, unlimited growth opportunities in a fast-scaling business; 4. Engaging company events and a team that actually enjoys working together.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As the Senior Engineering Manager, you'll be tasked with building the long-term success for your organization by helping define the product vision, mentoring and growing talent, and being accountable for delivering results. As a Senior Engineering Manager on the Graphics team, you’ll own the vision and staffing strategy for the core rendering engine features and tools that power League of Legends. Reporting to an Engineering Director, you’ll lead a team of one of the most seasoned engineering teams in League of Legends that build and evolve the technology that artists, designers, and developers rely on every day. You’ll grow and mentor individual contributors over the long arc of their careers while partnering closely with other teams to make sure our work meaningfully improves their workflows and impact. Our platform is primarily written in C++ with heavy use of the Qt ecosystem for UI/UX, and we also leverage Python for a variety of tools and automation. Responsibilities: Serve as the vision holder for the rendering technology that powers League of Legends Staff, manage, mentor, lead, and cultivate a team of 5-10 software engineers Partner closely with product, delivery, technical, and quality leads to support your team and align on outcomes Ensure the technology you build serves the long-term needs of a wide range of content developers Coordinate with individuals and external partners across multiple time zones around the world Design the composition of your team and hire to ensure it has the skills and experience needed to achieve your goals Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience 8+ years of professional software engineering experience, including 3+ years in engineering management Experience leading teams shipping large-scale, modular client/engine or tools software Extensive experience in C/C++ development 4+ years of experience in game development industry Hands-on experience with rendering or graphics systems (e.g., modern rendering pipelines, GPU/CPU performance, graphics tooling) For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer https://www.perplexity.ai/computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. QUALIFICATIONS - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team; bias toward ownership. - A passion for shipping products that surprise and delight.

Location: San Francisco Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer https://www.perplexity.ai/computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain knowledge in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.

Location: Latin America Workplace: Remote The company is a service for managing email outreach infrastructure. We help customers register and connect domains, create mailboxes, and configure them to work with email-sending tools. We are looking for two experienced technical support engineers who enjoy understanding how a product works, finding the causes of unusual issues, and gradually getting more involved in software development. ABOUT THE ROLE You will work at the intersection of customer support and the engineering team: handling complex support requests, carrying out technical diagnostics, and seeing issues through to resolution. First-line support handles routine questions. Your responsibility will be cases that require examining logs, checking settings, understanding API behavior, or reading code. If a solution requires changes to the product or infrastructure, you will pass your investigation findings to developers and help verify the fix. WHAT YOU WILL DO • Investigate technical support requests: reproduce issues, test hypotheses, and identify their root causes. • Diagnose problems with domain registration and verification, DNS records, and the creation and connection of mailboxes. • Investigate integration failures involving email providers and email outreach services, as well as authentication and access errors. • Investigate issues with email sending and deliverability. • Work with logs, APIs, internal tools, and data; write small scripts for diagnostics and automation. • Resolve support requests independently within your scope of responsibility; involve developers or external provider support when needed. • Clearly explain to customers and colleagues what is happening and what the next steps are. • Contribute to the knowledge base, improve instructions, and hand over unresolved investigations to the next shift. EXAMPLES OF TASKS • Mailboxes have been created, but the required MX and SPF records have not appeared. • A domain fails verification or is already linked to another Microsoft 365 tenant. • After access permissions are changed, a mailbox stops connecting to an external service. • A customer reports email deliverability problems: you need to gather information and investigate possible causes. • The subscription status reported by a provider does not match the state of the mailboxes in the product. WHAT WE ARE LOOKING FOR • Experience in L2/L3 technical support, SaaS operations/support, system administration, or software development involving troubleshooting of user-reported issues. • Ability to investigate issues independently: gather facts, isolate the problem, and verify the solution. • Understanding of HTTP, REST APIs, JSON, authentication principles, and how web services interact. • Confidence working with logs, the command line, and tools such as curl or Postman. • Ability to read other people’s code and write small scripts in at least one programming language. JavaScript/TypeScript is especially useful. • Basic SQL knowledge and the ability to work carefully with data. • Understanding of DNS and the fundamentals of how email works. • English sufficient for written communication with customers, providers, and the team, as well as reading documentation. • A responsible approach: honoring shift commitments, keeping request statuses up to date, and following tasks through to completion. NICE TO HAVE • Experience at a domain registrar, hosting provider, email service, or email outreach platform. • Experience working with Google Workspace, Microsoft 365, and Cloudflare. • Knowledge of SMTP, IMAP, SPF, DKIM, and DMARC, plus hands-on experience troubleshooting deliverability. • Experience with cloud platforms, monitoring, Git, Node.js, or NestJS.

Location: Intellias Meet your recruiter Katarzyna Sankowska katarzyna.sankowska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineering Lead Senior Lead Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for an Engineering Lead to join a large-scale Digital Health initiative building a FHIR-based healthcare platform that connects providers, payers, clinical systems, and external healthcare networks. This is a hands-on leadership role that combines strong engineering expertise with team leadership. You will set technical direction, grow engineers, and ensure delivery of secure, reliable, and HIPAA-compliant healthcare solutions. What project we have for you We’re helping a US digital-health platform make patients’ medical data accessible, consistent, and trustworthy. The platform brings together data from many clinical and administrative sources: lab results, diagnoses, medications, visits, claims and more. It standardizes this data into FHIR and exposes it through secure, standards-based APIs used by internal products and external partners. You’ll lead the engineering team that builds it. This is a player-coach role to start. While your number of direct reports is smaller and growing, you’ll write production code across the stack, sharing ownership of the API and public surfaces with our full-stack engineer, and you’ll stay close to the data integration work. You’ll own the platform’s technical direction, delivery, and team, and you’ll represent engineering to partners, product, and clinical advisors. What you will do Lead onshore/nearshore and offshore teams: hire and level accurately, run 1:1s and performance conversations, and develop leads into stronger managers. Grow the organization, with clear boundaries and a bench of future leaders. Write production code across the API, embeddable widgets, preview app, SDKs, and MCP server, with ownership that shifts with priorities. Step off the critical path as the team grows while staying close enough to the code to judge quality firsthand. Set the technical direction for an API-first platform, where every surface is a client of one OpenAPI-defined API. Own partner authentication, tenant scoping, per-partner configuration and branding, rate limiting, idempotency, and audit logging. Design configurable, rules-based questionnaire matching that clinical staff can change without code, and that clinical advisors review. Guide the integration of provider schedule inventory from health systems and telehealth networks through batch and real-time API feeds, with a booking path that confirms availability or fails gracefully. Own the roadmap, commitments, SLOs, and incident follow-through. Build HIPAA and minimum-necessary PHI boundaries into every surface, including what reaches an LLM through the MCP server, working with our security and compliance team. Set how the team employs AI to build, with the review and testing practices that keep the work correct and safe. What you need for this 8+ years of software engineering experience, including 4+ years managing engineering teams. Experience managing other managers or team leads, including leads of outsourced, vendor, or nearshore teams. Hands-on full-stack skills with Python (FastAPI or similar) on the backend and TypeScript and React on the frontend. You’ve shipped partner-facing APIs or embedded products to production. Experience leading data integration with external partners through both batch file feeds and APIs. Strong API design judgment across REST (OpenAPI) and GraphQL: contracts, versioning, idempotency, OAuth 2.0, tenant isolation, and rate limiting. Experience working with PII and/or PHI under HIPAA. Daily use of AI coding tools like Claude Code in your own work, and experience leading a team’s adoption of them. You keep a team moving when plans, staffing, or vendors change, and you give people a clear plan even when big questions are still open. You hold every lead, onshore or outsourced, to one consistent bar, and you make good calls quickly with the information you have. Nice to have: Experience in healthcare technology, working with PHI under HIPAA. Strong working knowledge of FHIR models, APIs, and implementation guides such as US Core or Bulk FHIR, including mapping to and from FHIR, profiling, and extensions. Experience with FHIR platforms and tools, whether commercial or open-source (e.g., HAPI, Smile, Medplum), or having built your own. Participation in the FHIR community, such as HL7 or non-HL7 working groups, Connectathons, IG contributions, or presentations at events like DevDays or HIMSS. FHIR training or certifications, such as FHIR Implementer or Advanced Developer. Domain knowledge in specialized FHIR areas such as clinical reasoning, analytics, FHIRPath, search, terminology, or AI. Experience with scheduling standards and APIs such as the IHE ITI Scheduling IG, SMART Scheduling Links, or Epic Open Scheduling. Experience building products for payers or employers. Experience building MCP servers or other LLM tool integration What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote, KSA GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Remote- An overview of this role As a Professional Services Engineer at GitLab, you’ll work with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You’ll contribute to deployments ranging from single-node Omnibus installations to reference architectures built with infrastructure as code (IaC) and configuration as code (CaC), using established approaches and getting guidance on more complex designs. You’ll support migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. You’ll work closely with customers and GitLab’s Product and Engineering teams to resolve delivery questions and share feedback that can improve GitLab and our services. You’ll own assigned work, communicate progress clearly, and collaborate with Engagement Managers, Project Managers, and other engineers to deliver customer outcomes. Some examples of our projects • Supporting GitLab installations and reference architecture deployments using tools like Terraform and Ansible across major cloud providers.. • Contributing to migrations to GitLab SaaS or self-managed GitLab, and sharing customer feedback with GitLab’s Product and Engineering teams.. What you’ll do • Deliver assigned GitLab Professional Services work, including installation, migration, training, and advisory services across GitLab capabilities.. • Configure and support deployments ranging from single-node Omnibus installations to established reference architectures using IaC and CaC practices.. • Contribute to migration plans and carry out assigned activities to move customers from other systems to GitLab SaaS or self-managed GitLab.. • Work with Engagement Managers and Project Managers to understand customer goals, scope, and delivery expectations.. • Provide practical technical guidance within your area of experience, and ask for support on complex design decisions.. • Communicate progress, blockers, and next steps to customers and project stakeholders.. • Work with GitLab’s Product and Engineering teams to help resolve customer issues and share relevant feedback.. • Contribute ideas that help improve delivery consistency and reduce friction.. • Create clear implementation notes, handoff materials, and other engagement documentation.. What you’ll bring • Professional exposure to one or more IaC or CaC technologies, such as Terraform, Ansible, Packer, Puppet, Chef, or Kubernetes.. • Experience with at least one major cloud provider, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.. • Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows.. • Familiarity with security and AI technologies, or the ability to build knowledge in these areas.. • Experience contributing to customer-facing technical work, such as installation, migration, training, or advisory services.. • Clear written and verbal English communication skills, including the ability to provide status updates and work effectively in a remote, largely asynchronous environment.. • A solution-oriented approach to investigating issues, explaining options, and following through on agreed actions.. • Strong organization and collaboration skills, including the ability to manage assigned work across customer engagements.. • Ability to work effectively in a fully remote organization, document decisions, collaborate across time zones, and work in ways consistent with GitLab’s values.. #LI-CM1 About the team Professional Services partners closely with Engagement Managers and Project Managers to deliver consistent customer outcomes. The team works with GitLab’s Product and Engineering teams to share customer feedback and improve GitLab. We collaborate remotely across regions and time zones, supporting customers with a wide range of architectures and deployment models while helping them succeed over time. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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