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Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. WHAT YOU'LL DO - Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. - Build and improve services that support namespace provisioning, configuration, scalability, and reliability. - Develop data pipelines that process high-volume usage and operational data across multiple tenants. - Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. - Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. - Participate in code reviews, design discussions, incident response, and production debugging. - Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. - Improve developer and customer experience through automation, better tooling, and incremental product improvements. WHAT YOU'LL BRING - Experience building and operating production backend systems in a cloud environment. - Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. - Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. - Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. - Experience with databases, data pipelines, messaging systems, or object storage. - The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. - An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. - Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. - A commitment to correctness, maintainability, and leaving systems better than you found them. NICE TO HAVE - 3+ years of work experience - Experience with Go. - Experience with PostgreSQL, Redshift, Kinesis, Firehose - Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. - Familiarity with Kubernetes and cloud infrastructure. - Experience supporting on-call rotations, investigating incidents, or improving production observability. - Familiarity with Temporal concepts—or a strong interest in learning the platform. TECHNOLOGY STACK - Primary language: Go - Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse - Data processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core framework: Temporal You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions. This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers. You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Technical Account Manager, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings. As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset. What you’ll bring - Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus. - Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux) - Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC - Linux administration skills - Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus) - 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles - Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise - Outstanding soft skills and excellent verbal and written communication - Project management experience and the ability to handle multiple clients simultaneously What you’ll be doing - Design solution architecture for Teleport in customer environments - Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer - Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering - Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities - Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport - Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization - Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization - Document each customer’s business goals and challenges to align Teleport with the most value possible - Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases - Collaborate with Sales and Product to provide valuable feedback for product improvement - Support our broader customer base seeking new solutions and best practice recommendations Our interview process Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Michigan Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align seeks a Project Manager to oversee second-shift construction activities for hyperscale data center white space fit-outs within colocation environments. This role is responsible for managing onsite execution during the second shift, including coordination of trades, sequencing of work, quality control, and progress against the project schedule. The Project Manager will serve as Align’s onsite point of contact during the second shift, working closely with contractors, client representatives, and the daytime project team to keep construction activities moving and ensure a clear handoff between shifts. The ideal candidate has construction management experience and an understanding of infrastructure such as containment systems, overhead conveyance including ladder racks and cable trays structural supports, electrical distribution, and cooling components. Candidates with experience in commercial, industrial, electrical, or low-voltage construction are encouraged to apply. Previous data center experience is preferred but is not required. This is a full-time salaried position offering competitive compensation, comprehensive benefits, paid time off, paid training, and performance-based bonuses. This position is based in the Detroit metro area and requires working onsite during the second shift, approximately 4:00 p.m. to midnight. Approximately 50% travel outside the Ann Arbor area should be expected at times, depending on project needs. Key Responsibilities Lead second-shift onsite construction activities for data center white space fit-out projects Coordinate with the daytime project team before each shift to review priorities, scheduled work, contractor coverage, and outstanding issues Oversee installation of: Structural hot aisle / cold aisle containment systems Overhead cable tray systems and ladder racks Structural supports for cabinets, racks, cable trays, and electrical power distribution infrastructure Cooling infrastructure, including HVAC units Power distribution from PDU to cabinet level Manage trade contractors and coordinate work sequencing to maintain the schedule and avoid conflicts between installation activities Serve as the primary onsite contact during the second shift for general contractors, subcontractors, vendors, and client stakeholders Enforce quality control processes to ensure installations meet approved drawings, specifications, load requirements, and applicable standards Monitor progress against the project schedule, identify delays or field issues, and coordinate resolutions with the project team Track labor, materials, and potential scope changes affecting assigned work; communicate budget impacts to project leadership Ensure compliance with safety requirements and site protocols throughout the shift Review construction drawings, submittals, RFIs, and shop drawings to address installation questions and coordinate required clarifications Coordinate field checks of installation tolerances, anchoring, and overhead support systems against approved requirements Maintain daily reports, progress photos, issue logs, and punch lists Support inspections, commissioning, and turnover activities Provide a documented handoff to the daytime team covering completed work, schedule updates, unresolved issues, and upcoming priorities Required Qualifications Construction project management or field leadership experience, including responsibility for onsite contractor coordination and work execution Demonstrated ability to manage multiple contractors, coordinate trades, and maintain construction schedules Ability to read and interpret construction drawings, specifications, and installation details Working knowledge of construction sequencing, quality control, and jobsite safety practices Project management skills, including scheduling, progress tracking, documentation, and cost awareness Strong problem-solving and decision-making skills, with the ability to resolve field issues and escalate matters requiring additional approval Strong communication skills and experience working with contractors, clients, and project stakeholders Ability to work onsite consistently during the second shift, approximately 4:00 p.m. to midnight, and travel as required Preferred Qualifications Experience in data center, commercial, industrial, electrical, mechanical, or low-voltage construction Familiarity with white space fit-outs, containment, overhead conveyance, structural supports, electrical distribution, or cooling infrastructure Familiarity with structured cabling and fiber optic infrastructure Procore experience is strongly preferred Experience supporting commissioning and turnover of construction projects To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Tier 2 PM26 Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: US CA - Remote We are looking for a consultant who thrives at the intersection of process design, cross-functional coordination, and customer outcomes to guide enterprise customers through their transition to Agentic Workflow Management (AWM). In this role, you will help customers define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan and driving measurable impact across their highest-value workflows . You will design and lead structured, time-bound engagements from onboarding through workflow launch, moving customers to a platform where teams and agents execute work together. Engaging both executive stakeholders and front-line teams, you will operate with strong judgment in ambiguous environments to connect AI capabilities directly to meani ngful business results . This role can either be fully remote depending on which US state you live in, or based in our San Francisco office with an office-centric hybrid schedule. If based in-office: The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead structured onboarding engagements by aligning customer stakeholders on platform setup, workflow priorities, and shared success metrics while assessing workflow complexity to target high-impact Asana AI opportunities . Document and transition clear implementation plans that capture prioritized workflows, risk mitigation strategies, and next steps to ensure seamless execution and stakeholder alignment. Guide customers end-to-end through process mapping, hands-on workflow configuration, and user acceptance testing to deliver production-ready workflows with embedded Asana AI capabilities. Coordinate cross-functional delivery across time-bound engagements, aligning workflow owners, IT, business stakeholders, and end users through kickoff, enablement, and launch milestones. Develop deployment roadmaps and forward-looking documentation that define how customers scale Asana AI usage, optimize adoption, and expand use cases over time. Lead recurring operational check-ins with customer account teams to monitor workflow performance, surface user pain points, and unlock new AI adoption opportunities. Partner cross-functionally with Customer Success, Sales, and R&D to surface expansion signals, represent the voice of the customer internally, and translate account momentum into business growth . Build repeatable frameworks and engagement processes that bring operational consistency to delivery motions across a portfolio of enterprise customers. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven experience in customer-facing implementation or consulting roles, guiding structured onboarding or technical platform deployments within SaaS or enterprise consulting environments . Strong understanding of generative AI and platform technologies, including AI workflow design, agent orchestration, enterprise platforms, and data governance . Demonstrated ability to guide teams through AI change management and user adoption friction, meeting stakeholders where they are with empathy and building confidence in new workflows . Track record of managing complex, concurrent enterprise projects and workstreams, holding both internal and customer stakeholders accountable to key milestones and deliverables . Customer-centric approach with proven success facilitating discovery sessions and translating customer feedback into actionable configuration decisions . Strong bias toward action, comfortable navigating ambiguity, making sound decisions with incomplete information, and creating momentum in dynamic environments . Clear, structured communication skills with the ability to synthesize complex processes for diverse audiences ranging from executive spo nsors to front-line end users . Collaborative mindset with experience aligning cross-functional internal partners—including sales, customer success, product, and IT—to ensure seamless project delivery . At Asana, we’re committed to building teams that include a variety of backgrounds, perspectives, and sk ills, as this is critical to helping us achieve our mission . If you’re interested in this role and don’t meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehens ive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We bel ieve that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is b etween $147,000 -$167,000 . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, spe ak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fi tness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: United Kingdom; Spain; Hungary; Bulgaria; Poland; Italy; Netherlands; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams. - Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient. - Implement and maintain dbt best practices, data standards, and quality controls. - Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs. - Create AI agents to serve data questions for others REQUIREMENTS Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team. - Expert knowledge of dbt (required). - Proficiency with tools across the modern data stack (Python, SQL, BI tools). - Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers) - Structured thinking; ability to simplify complex, messy data into clear structures. - Strong ability to understand varied stakeholder requirements and build generalised solutions. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Michigan Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align seeks an Assistant Project Manager to support second-shift construction activities for a data center build-out in the Ann Arbor area. This is a field-facing opportunity for someone with construction experience who is ready to take on more responsibility coordinating contractors, tracking progress, and keeping work moving onsite. Working closely with the lead Project Manager and daytime team, this person will serve as Align’s onsite point of contact during the second shift. The role requires someone who is comfortable walking the jobsite, communicating with contractors and clients, and addressing issues as they arise. Candidates with experience in assistant project management, project engineering, field coordination, or construction supervision are encouraged to apply. A background in commercial, industrial, electrical, or low-voltage construction is preferred. Previous data center experience is a plus but is not required. This position requires working onsite during the second shift, approximately 4:00 p.m. to midnight. This is a full-time position offering full benefits, paid training, and opportunities for career growth. Responsibilities Coordinate second-shift construction activities with the lead Project Manager, contractors, vendors, and client representatives Review the planned work with the daytime team and confirm priorities, work areas, material needs, and outstanding issues before the shift begins Walk the jobsite regularly to track progress, identify installation issues, and confirm work follows project drawings, specifications, and site requirements Help coordinate data center fit-out activities, which may include cabinets, containment, cable pathways, structured cabling, and associated power and cooling work Monitor contractor progress against the daily plan and communicate delays, access restrictions, material shortages, or conflicts that could affect the schedule Reinforce site safety requirements and promptly escalate unsafe conditions or work outside the approved scope Maintain daily reports, progress photos, issue logs, and punch lists. Help document field questions and potential changes for the project team’s review Provide a clear handoff to the daytime team covering completed work, open items, and priorities for the following shift Support inspections, testing, punch-list completion, and project turnover as needed Qualifications Previous experience supporting or supervising onsite construction activities, including coordinating contractors and tracking work in the field Ability to read construction drawings and understand installation requirements, work sequencing, and jobsite safety expectations Strong organizational and communication skills, with the ability to follow through on open items and keep the project team informed Comfortable taking ownership of assigned work, addressing routine field issues, and recognizing when to involve the lead Project Manager Previous data center construction experience or experience in commercial or industrial construction, electrical installations, structured cabling, or other critical facilities will be considered Familiarity with Microsoft Office and construction documentation tools such as Bluebeam or Procore is helpful Ability to work onsite consistently during the required second-shift hours To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Tier 2 PM26 Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: Remote, New York, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking to hire a Senior Solutions Architect, Enterprise to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the New York City metro area. Technologies You’ll Use SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools. What You’ll Do Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria Design enterprise-grade data transformation and analytics architectures using dbt Partner with Sales to communicate the technical and business value of the dbt platform Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate Build trusted relationships with technical practitioners, data leaders, and executive stakeholders Guide customers through technical architecture, security, governance, and deployment considerations Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community Skills We’re Looking For 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling Strong understanding of modern cloud data warehouse, lake house, and analytics architectures Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams Bonus Skills​ Experience with dbt or analytics engineering Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives Compensation & Benefits The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 80% base salary and 20% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. OTE (On Target Earning) $219,463.15 — $274,329.23 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Chicago We are looking for a consultant who thrives at the intersection of process design, cross-functional coordination, and customer outcomes to guide enterprise customers through their transition to Agentic Workflow Management (AWM). In this role, you will help customers define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan and driving measurable impact across their highest-value workflows . You will design and lead structured, time-bound engagements from onboarding through workflow launch, moving customers to a platform where teams and agents execute work together. Engaging both executive stakeholders and front-line teams, you will operate with strong judgment in ambiguous environments to connect AI capabilities directly to meani ngful business results . This role is based in our Chicago office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead structured onboarding engagements by aligning customer stakeholders on platform setup, workflow priorities, and shared success metrics while assessing workflow complexity to target high-impact Asana AI opportunities . Document and transition clear implementation plans that capture prioritized workflows, risk mitigation strategies, and next steps to ensure seamless execution and stakeholder alignment. Guide customers end-to-end through process mapping, hands-on workflow configuration, and user acceptance testing to deliver production-ready workflows with embedded Asana AI capabilities. Coordinate cross-functional delivery across time-bound engagements, aligning workflow owners, IT, business stakeholders, and end users through kickoff, enablement, and launch milestones. Develop deployment roadmaps and forward-looking documentation that define how customers scale Asana AI usage, optimize adoption, and expand use cases over time. Lead recurring operational check-ins with customer account teams to monitor workflow performance, surface user pain points, and unlock new AI adoption opportunities. Partner cross-functionally with Customer Success, Sales, and R&D to surface expansion signals, represent the voice of the customer internally, and translate account momentum into business growth . Build repeatable frameworks and engagement processes that bring operational consistency to delivery motions across a portfolio of enterprise customers. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven experience in customer-facing implementation or consulting roles, guiding structured onboarding or technical platform deployments within SaaS or enterprise consulting environments . Strong understanding of generative AI and platform technologies, including AI workflow design, agent orchestration, enterprise platforms, and data governance . Demonstrated ability to guide teams through AI change management and user adoption friction, meeting stakeholders where they are with empathy and building confidence in new workflows . Track record of managing complex, concurrent enterprise projects and workstreams, holding both internal and customer stakeholders accountable to key milestones and deliverables . Customer-centric approach with proven success facilitating discovery sessions and translating customer feedback into actionable configuration decisions . Strong bias toward action, comfortable navigating ambiguity, making sound decisions with incomplete information, and creating momentum in dynamic environments . Clear, structured communication skills with the ability to synthesize complex processes for diverse audiences ranging from executive spo nsors to front-line end users . Collaborative mindset with experience aligning cross-functional internal partners—including sales, customer success, product, and IT—to ensure seamless project delivery . At Asana, we’re committed to building teams that include a variety of backgrounds, perspectives, and sk ills, as this is critical to helping us achieve our mission . If you’re interested in this role and don’t meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehens ive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We bel ieve that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is b etween $147,000 -$167,000 . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, spe ak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fi tness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Global Trade Support team provides mission critical support for many of our proprietary and third-party trading systems as well as our proprietary middle and back-office systems.  They support a wide variety of trading teams globally who are participating in markets such as equities, fixed income and cryptoassets.  They perform technical support and engineering functions that include application support in testing and production environments, software deployment and configuration, and system monitoring. What you’ll do in this role: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. Ensure maximum trading system availability to avoid missing any key trading opportunities Provide support for various trading groups’ production systems across a variety of asset classes and geographic locations deployed across a multi-platform production environment (primarily Linux with a little Windows) Develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate Troubleshoot trading system production incidents resulting from internal (proprietary software / systems) or external factors (markets, data feeds, telecommunication lines) Automate software configuration and rollout procedures to reduce manual configuration errors and strive for flawless change management Support core market connectivity and correspond with exchanges regarding trade order activity, connectivity, and other related technical support issues Collaborate with traders, DBAs, development, back office, QA, infrastructure, technical support, business development and various management teams around the globe. Help end users and developers understand core trading and back-office systems to ensure efficient and correct use of available tools. Build documentation for common procedures, troubleshooting scenarios and system architecture. Coordinate efforts with other global support teams to ensure continuity and consistency of support in a 24x7 environment What’s needed in this role: Superior troubleshooting skills and the ability to navigate issues efficiently that do not have a pre-defined runbook process Prior experience supporting high performance applications, process monitoring, and troubleshooting Prior experience supporting equities/equity options trading Prior experience working with FIX protocol and alternative exchange protocols Script development experience a plus SQL experience including queries/updates/table creation/basic database maintenance Linux & Windows platform support experience in a large-scale production environment Experience supporting electronic trading systems; prior experience at proprietary trading firm preferred Demonstrated knowledge of network communications, including use of multicast networking Must have some flexibility in work schedule to help ensure team coverage; rotating on-call coverage required B.S. in Computer Science or equivalent degree Self-motivation and intellectual curiosity;  desire to continually grow and always seek improvements in production support function High level of ownership and accountability, reliability, and strong follow through Ability to handle pressure and time constraints with composure; ability to multitask and context switch efficiently Strong organizational skills, including ability to effectively plan and prioritize Must have strong communication skills and demonstrate the ability to have clear and concise conversations, both written and verbal, with a variety of personalities Must be able to quickly apply prior context to troubleshooting and communication efforts The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Canada, Vancouver, BC 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 are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic hands, arms, end-effectors, and complex electromechanical mechanisms. This role combines deep hands-on engineering expertise with proven technical leadership and team management experience. You will take ownership of complex prototype development activities, guide engineering execution, and work closely with Mechanical, Electrical, Embedded Software, and Controls teams to transform innovative designs into reliable, high-performance robotic systems. We are looking for someone who has successfully led and developed technical teams, established efficient prototyping processes, and delivered complex hardware projects in fast-moving engineering environments. As our Vancouver robotics operations continue to grow, this position offers the opportunity to progress into a broader technical leadership role, helping shape our prototyping capabilities, engineering standards, and team development. Your work will directly influence the technical quality, development speed, and scalability of Humanoid's next-generation robotic platforms. WHAT MAKES THIS ROLE EXCITING - Take ownership of complex humanoid robot prototyping, including dexterous hands, arms, actuators, and advanced electromechanical assemblies. - Combine hands-on engineering with technical leadership, guiding complex prototype development from concept through validation. - Apply your previous team management and mentoring experience to strengthen engineering execution and build effective prototyping practices. - Solve challenging problems in robotic manipulation, precision actuation, sensor integration, and hardware-software interaction. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, embedded software, and controls. - Play a key role in scaling Humanoid's prototyping capabilities, with potential to grow into a broader team leadership position. WHAT YOU’LL DO - Lead the development, assembly, integration, and commissioning of complex robotic prototypes, including hands, arms, end-effectors, actuators, sensors, and electromechanical subsystems. - Take ownership of prototype development from initial build through calibration, testing, debugging, validation, and design iteration. - Provide technical leadership and direction to engineers and technicians, helping establish priorities, resolve engineering challenges, and maintain execution quality. - Apply previous team management experience to mentor technical team members, develop capabilities, and establish effective engineering workflows. - Coordinate prototype development activities, ensuring clear technical priorities, efficient resource allocation, and alignment with engineering milestones. - Drive advanced hardware troubleshooting, root-cause analysis, and failure investigation across mechanical, electrical, and embedded systems. - Oversee the integration, calibration, and performance optimization of actuators, encoders, force/torque sensors, tactile sensors, and robotic control interfaces. - Partner with Mechanical, Electrical, Embedded Software, and Controls teams to identify design limitations, integration risks, and opportunities for performance improvement. - Lead and contribute to technical design reviews, providing practical engineering feedback on assembly, reliability, serviceability, and manufacturability. - Establish and improve prototype assembly procedures, integration workflows, testing methodologies, and validation standards. - Drive rapid prototyping and engineering iteration, ensuring timely resolution of technical blockers and efficient development cycles. - Support system-level testing, performance characterization, reliability assessments, and prototype-to-production transitions. - Develop and maintain technical documentation, including assembly instructions, test procedures, troubleshooting guides, SOPs, and engineering reports. - Collaborate with engineering and program leadership to plan prototype builds, track technical progress, manage risks, and communicate development priorities. - Work closely with teams across Vancouver, London, and Boston, supporting cross-site integration and technical collaboration. - Promote a safe, organized, and efficient prototyping environment, maintaining appropriate tools, equipment, and engineering practices. WE’RE LOOKING FOR - 10+ years of professional experience in robotics prototyping, mechatronics, electromechanical integration, or advanced robotic hardware development. - 5+ years of proven track record directing technician groups within a dynamic research and development setting. - Demonstrated experience mentoring, developing, and coordinating technical team members, with the ability to establish priorities and drive engineering execution. - Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical engineering experience. - Strong hands-on experience building, integrating, testing, and troubleshooting complex robotic or electromechanical systems. - Proven track record of taking complex hardware prototypes from concept through integration, commissioning, validation, and delivery. - Deep understanding of precision mechanical assemblies, actuators, motors, sensors, wiring, and embedded hardware interfaces. - Experience with fine-pitch soldering, precision wiring, cable assemblies, connectors, and electrical integration. - Strong knowledge of actuator commissioning, sensor calibration, motor control interfaces, and robotic system testing. - Ability to interpret mechanical drawings, electrical schematics, wiring diagrams, and engineering documentation. - Experience using laboratory and diagnostic equipment, including oscilloscopes, multimeters, power supplies, and precision measurement instruments. - Demonstrated ability to lead complex troubleshooting, root-cause analysis, and engineering problem-solving activities. - Experience establishing or improving prototype assembly, integration, testing, and validation processes. - Strong project coordination skills, including technical planning, resource prioritization, risk management, and cross-functional execution. - Excellent communication skills, with the ability to collaborate effectively with engineering teams, technical leadership, and program stakeholders. - Ability to balance hands-on technical involvement with broader engineering leadership responsibilities in a fast-paced R&D environment. BONUS QUALIFICATIONS - Experience developing humanoid robots, dexterous robotic hands, robotic arms, or advanced manipulation systems. - Previous experience building, scaling, or managing a robotics prototyping, integration, or hardware development team. - Experience with multi-DoF robotic mechanisms, precision actuators, transmissions, and complex joint assemblies. - Experience with tactile sensors, force/torque sensors, encoders, IMUs, and robotic sensing technologies. - Knowledge of motor control systems, drive tuning, actuator performance analysis, EtherCAT, or CAN communication protocols. - Experience with rapid prototyping and fabrication, including FDM/SLA 3D printing, CNC machining, and laser cutting. - Familiarity with SolidWorks or similar CAD tools and the ability to perform mechanical design modifications. - Experience using Python, ROS/ROS2, or other tools for robotic hardware testing, calibration, or automation. - Experience developing automated test setups, hardware validation infrastructure, or data acquisition systems. - Experience supporting hardware NPI, prototype-to-production transitions, or low-volume robotic manufacturing. - Background in robotics, autonomous systems, aerospace, automotive, or advanced hardware startups. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - 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.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. As a Platform Engineer, You Will Build Core Platform Services Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway. Enable Enterprise Deployment Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments. Own Infrastructure and Delivery Systems Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices. Build for Reliability Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability. Establish Observability Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting. Build FinOps Visibility Develop telemetry that tracks model and compute costs by tenant. The Anti-Sell Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Deployment complexity: The platform must operate across client cloud accounts, dedicated instances, and sovereign environments. Team accountability: The platform must be observable, operable, and maintainable by the team rather than dependent on one individual. Our Enterprise AI Platform Engineers Typically Have Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS. Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment. Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others. Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps. Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog. Data and platform systems experience: Familiarity with Postgres, object storage, queues, and vector stores. Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role. Top-Tier Candidates Will Have Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton. Experience implementing SOC 2 controls in CI. Experience deploying and operating AI systems in regulated or highly controlled environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Almaty, Kazakhstan Workplace: remote We are seeking a Project Coordinator (AI think tank initiative) to coordinate a comprehensive project assessing the impact of artificial intelligence on the labor market and key economic sectors of Cyprus. The project spans the entire lifecycle: from multidisciplinary research and data collection to building a unified predictive model, executing a public campaign and deploying B2G and B2C digital products. The implementation horizon is 2025–2030, starting in Cyprus with subsequent international expansion to other markets. Key Responsibilities Coordinate five research tracks: occupation mapping and AI substitution risk studies (ESCO, MOT, OECD), national statistics analysis (CYSTAT, Eurostat), expert scenario modeling, academic validation and AI agent deployment. Engage with the Expert Advisory Board, bringing together top analysts, economists, political scientists, NGO leaders, academic partners and Cypriot government stakeholders. Organize the preparation of analytical deliverables, including the publication of a White Paper, and hold roundtables and workshops with stakeholders and government ministries. Support communication and PR/GR initiatives, special projects with HR platforms, public awareness campaigns and digital preventive qualification services. Assist in the development and rollout of tech solutions: a decision-support dashboard monitoring unemployment risks for government bodies and a mobile career navigator app for citizens. Oversee the pilot phase in 1–2 economic sectors in Cyprus, integrating the predictive model into state structures and preparing for international scalability. Skills, Knowledge and Expertise Experience: Proven experience coordinating or managing multidisciplinary, product or research projects in B2G, B2C, data analytics or AI Knowledge and skills: Labor market research methodologies Open data analysis Practical AI applications Structuring and maintaining project documentation Languages: English (Advanced, C1). Key Competencies: Communication with stakeholders at all levels, including government ministries, academic institutions, international organizations and expert communities Exceptional organization and ability to manage multiple parallel work streams Structured approach to project management and documentation.

Location: London, United Kingdom Workplace: hybrid Senior Applied Researcher will own well-defined marketplace efficiency problems end-to-end, from problem formalisation through modelling, deployment, and production monitoring. You will operate independently on complex problem areas, make explicit trade-offs between competing objectives, and partner closely with engineering to deliver robust, scalable solutions. Key Responsibilities Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization Develop and refine metrics, dashboards, and KPIs to monitor market performance and guide strategic decisions Generate and validate hypotheses to address key market challenges, presenting insights and actionable recommendations to stakeholders Investigate anomalies and deviations in key metrics, identifying root causes and proposing solutions Build predictive models and advanced analytics frameworks to forecast market trends and inform resource allocation Skills, Knowledge and Expertise 4–7 years of industry experience in data analytics, data science, applied research, or PhD + 2–4 years post-PhD in industry End-to-end ownership of individual marketplace models, policies, or decision mechanisms Strong judgment in trading off model fidelity, latency, robustness, and business impact Proven ability to move from abstract problem formulation to production-grade decision logic Hands-on experience collaborating with engineering teams on deployment, iteration, and monitoring Demonstrated ability to reason about system behavior under uncertainty, delayed feedback, and partial observability Modeling supply-demand dynamics as stochastic, partially observed, feedback-driven systems; formalizing unit economics, service quality, and LTV as state variables and objectives Design and analysis of experiments under interference, spillovers, feedback loops, and adaptive policies (e.g., switchbacks, clustered interventions) Practical experience with DiD, panel methods, synthetic control, double-robust estimators, and causal ML approaches in production settings Ability to distinguish short-term experimental uplift from long-run equilibrium shifts and cumulative feedback effects using time-series and dynamic causal methods. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.