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Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Data Engineering intern who has a passion for technology, an interest in financial markets, and the enthusiasm to contribute to our U.S. equities and options exchanges. This internship position will be offered as hybrid with 2 days in-person at our co-working office in Midtown-NYC. *MEMX has currently approved ONLY the following states for remote work: California, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Work alongside MEMX’s technology team on data engineering projects that support our exchanges Help collect, organize, and validate data used for reporting and analysis Assist with building and improving data processes and tolls, with projects tailored to your skills and the team’s needs Collaborate with colleagues to solve problems, share ideas, and communicate your findings Gain hands-on experience in a growing exchange and see how your work contributes to the broader business Requirements Current undergraduate student entering their junior or senior year, pursuing a degree Computer Science, Computer Engineering, Data Engineering, Electrical Engineering, or a related field Experience with technical projects through coursework, internships, or personal work Ability to communicate technical ideas and work collaboratively with a team Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience working with data that supports MEMX’s exchanges Exposure to how data is collected, organized, and used for reporting an analysis Mentorship and guidance from experienced data engineers Opportunities to collaborate with technology teams across MEMX and connect with fellow interns Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer An intern cohort: Connect with interns working across other MEMX teams Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs Pay Rate: $30/hourly for undergraduate students Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

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. _______________________________________________________________________ As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. ABOUT THE ROLE As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$327.6K– CA$468K OTE + equity United States: $226.1K – $323K OTE + equity ______________________________________________________________________ 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: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make We are seeking a highly skilled Backend Engineer to join our team of backend and DevOps experts. In this role, you will design and implement scalable, resilient backend services that power products used by millions of users. You’ll tackle complex engineering challenges, from extracting services from a monolith to designing robust APIs and data migrations, while ensuring performance, stability, and maintainability. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. What You’ll Own & Drive Engineering Excellence & Scalability – Architect and implement backend systems that are robust, scalable, and capable of supporting millions of active users. Ensure high availability and reliability through thoughtful system design. Service Development Lifecycle – Build and maintain services from initial model design to production support. Contribute across all phases, including prototyping, implementation, testing, deployment, and monitoring. Code Quality & Best Practices – Write clean, maintainable, and well-tested code. Participate in code reviews to maintain high standards and mentor peers on engineering best practices. Complex Problem-Solving – Tackle challenging engineering problems such as decomposing monolithic applications into microservices, managing large-scale data migrations, and optimizing system performance. Observability & Resilience – Implement logging, monitoring, and tracing practices to ensure system health and reliability. Proactively identify and address performance bottlenecks. Cross-Team Collaboration – Work closely with DevOps, product managers, and other engineers to ensure smooth integrations and high-quality deliverables. Align engineering solutions with business needs and operational goals. The Qualities That Set You Apart Technical Mastery – Deep knowledge of Java/Kotlin and the Spring framework ecosystem, with proven expertise in backend architectures. Database Expertise – Strong understanding of PostgreSQL, MongoDB, and Redis, with the ability to design schemas, optimize queries, and ensure data consistency. API Design Proficiency – Experience in designing, building, and maintaining REST APIs with a focus on clarity, scalability, and long-term maintainability. Analytical Mindset – Skilled at breaking down complex systems and applying logical, systematic approaches to engineering problems. Quality-Driven Approach – Commitment to writing high-quality, maintainable code with comprehensive test coverage. Adaptability & Growth – Thrives in dynamic, fast-paced environments. Willing to take ownership of difficult problems and continuously grow technical expertise. Collaborative Spirit – Strong communication and teamwork skills, enabling seamless collaboration across engineering and DevOps teams. Your Background 5+ years of professional software development experience Proficiency in Java/Kotlin and the Spring framework ecosystem Experience with observability tools (logging, monitoring, tracing) Solid understanding of PostgreSQL, MongoDB, and Redis Hands-on experience in domain modeling and REST API design Track record of delivering scalable and maintainable systems Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer supporting Billing & Payments Engineering, you’ll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You’ll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You’ll make sure teams have trustworthy data that scales with our growth, and you’ll lead your own projects to enable self-serve insights that help teams make data-driven decisions. Key responsibilities Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirements Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems Define success metrics for billing systems, and build the data models and monitoring to track them Set data integrity standards and SLAs for timely, accurate delivery of billing and revenue data Share on-call and data operations responsibilities for Finance Data Engineering pipelines Build dashboards and self-serve data products that track core metrics and deliver insights across the company Promote best practices for dbt, data modeling and SQL Influence the Billing Engineering roadmap from a data systems perspective Build a thorough understanding of our data models and data architecture Minimum qualifications Experience as a Data Engineer, Analytics Engineer or in a similar role Experience with SQL and Python, and building multi-step data pipelines with tools like dbt Experience with workflow orchestration tools like Airflow, and version control with GitHub Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams Ability to prioritize and deliver practical solutions quickly Willingness to solve problems end to end, including work beyond the original scope Ability to define next steps and keep work moving when requirements are unclear Interest in Anthropic’s mission of building safe and beneficial AI Preferred qualifications 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation Experience building an analytics or data engineering function from an early stage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Palo Alto, United States 📍 Location: Palo Alto, CA 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 5+ years of experience in post-silicon characterization, high-speed I/O (HSIO) validation, or memory electrical validation. Hands-on experience characterizing high-speed SerDes PHYs , particularly PCIe. Experience measuring eye diagrams, jitter, bit error rate (BER), and S-parameters . Proficiency with high-speed oscilloscopes, bit error rate testers (BERT), and VNA/TDR equipment. Ability to read and interpret schematics and PCB layouts. Experience debugging electrical issues directly at the probe point. Python scripting experience for laboratory test automation. Background in semiconductor, silicon, or systems companies, including SoC, GPU, networking, storage, or automotive compute. Must be willing to work on-site in Palo Alto, CA . About the Role We are seeking a hands-on PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes physical-layer interfaces in a laboratory environment. The role focuses on conducting high-speed electrical measurements, analyzing signal integrity, and validating silicon performance. You will independently operate laboratory equipment, troubleshoot signal-level issues, interpret hardware schematics and PCB layouts, and automate characterization workflows using Python. The successful candidate will have direct experience with high-speed interface characterization and the practical skills needed to investigate electrical performance issues at the measurement and probe points. What We’re Looking For We’re looking for an experienced post-silicon characterization or HSIO validation engineer with strong hands-on laboratory skills and practical knowledge of high-speed electrical measurements. The ideal candidate can independently perform eye, jitter, BER, and S-parameter measurements; operate high-speed test equipment; interpret schematics and layouts; and troubleshoot signal integrity issues directly in the lab. Strong candidates will combine experience with PCIe and SerDes interfaces, high-speed measurement instrumentation, electrical debugging, and Python-based lab automation . Key Responsibilities Post-Silicon Characterization & Validation Perform post-silicon electrical characterization of high-speed SerDes PHYs, including: PCIe Ethernet UFS LPDDR5 Support high-speed interface validation and investigate electrical performance issues. Analyze characterization results to assess high-speed interface performance. Identify and troubleshoot signal-level issues during testing. High-Speed Electrical Measurements Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements . Independently operate laboratory measurement equipment, including: High-speed oscilloscopes Bit error rate testers (BERT) Vector network analyzers (VNA) Time-domain reflectometry (TDR) equipment Analyze measurement data to evaluate electrical performance and signal integrity. Document test configurations, measurement results, and characterization findings. Schematic Analysis & Electrical Debugging Read and interpret electrical schematics and PCB layouts to support characterization activities. Troubleshoot signal integrity and electrical issues directly at probe points. Investigate measurement anomalies and high-speed interface performance problems. Apply practical electrical measurement and debugging techniques to identify potential issues. Python Lab Automation Develop and maintain Python scripts to automate laboratory measurements and characterization workflows. Support repeatable and efficient execution of electrical tests. Improve laboratory testing efficiency through reusable automation scripts. Assist with measurement data collection, analysis, and documentation. Cross-Functional Validation Support Support high-speed interface validation activities across relevant silicon and systems platforms. Collaborate with engineering teams to investigate electrical performance issues. Communicate measurement findings, debugging results, and characterization progress. Maintain clear technical documentation of test procedures, configurations, and results. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation. Experience working at a semiconductor, silicon, or systems company in areas such as SoC, GPU, networking, storage, or automotive compute. Hands-on experience with high-speed SerDes PHY characterization. Practical experience measuring eye diagrams, jitter, BER, and S-parameters. Proficiency using high-speed oscilloscopes, BERT, and VNA/TDR equipment. Experience reading and interpreting schematics and PCB layouts. Strong laboratory debugging and electrical measurement skills. Python scripting experience for test and measurement automation. Strong analytical, troubleshooting, and problem-solving abilities. Willingness to work on-site in Palo Alto, CA. Preferred Qualifications Experience with PCIe electrical characterization and validation . Exposure to Ethernet, UFS, or LPDDR5 interfaces. Experience with high-speed signal integrity measurements and analysis. Background in silicon validation for SoC, GPU, networking, storage, or automotive-compute products. Experience developing reusable automation scripts and improving laboratory test efficiency.

Location: Seattle, WA 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 OPPORTUNITY Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted. Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering. This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products. You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes. WHAT YOU'LL DO TECHNICAL VISION AND STRATEGY - Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms. - Define and sequence "trusted by default" architecture for 20M developers. - Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps. - Establish company-wide architectural principles and security standards. - Identify high-leverage platform investments that enhance security across all Docker products. - Proactively position architecture ahead of evolving supply chain threats and regulatory demands. BUILD SECURITY ARCHITECTURE Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images. - Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history. - Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines. - Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility. - Align with and help shape emerging supply chain security standards. - Ensure security controls remain fast and unobtrusive so developers keep them enabled. SDLC AND DEVELOPER WORKFLOW INTEGRATION - Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment - Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us - Define the developer experience for security tooling, where the secure path is the fast path and the default path - Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow - Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives TECHNICAL EXCELLENCE AND INFLUENCE - Work with leaders across engineering to drive strategy and execution - Mentor and develop Staff and Principal engineers, raising the technical bar across the organization - Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement - Participate in executive-level discussions, providing architectural perspective on business decisions - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability WHAT YOU'LL BRING DOMAIN EXPERTISE - 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling - Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations - Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence - Practical knowledge of supply chain security frameworks and standards - Expertise in API design, service architecture, and scalable system integration - Proven record delivering large-scale distributed systems for millions of users and enterprise customers - Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure - Bachelor's degree in CS, Engineering, or equivalent practical experience STRATEGIC AND BUSINESS IMPACT - Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals - Experience converting business strategy into technical architectures and roadmaps - Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes - Experience leading build-vs-buy decisions for core platform components LEADERSHIP AND INFLUENCE - Ability to lead large, cross-company technical initiatives across multiple engineering teams - Experience partnering with VPs and executives to define and execute technical strategy - Proven ability to influence technical direction and build consensus without direct authority - Strong communication skills for presenting to executives and driving organization-wide alignment - Experience mentoring senior engineers and developing technical leaders ENTERPRISE CONTEXT - Experience building products that serve enterprise customers with complex security and compliance requirements - Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications - Understanding of how enterprise security teams evaluate, procure, and operate tooling PREFERRED - Scale experience at a security, developer tools, or infrastructure software company - Experience with containers (Docker, Kubernetes) or developer platforms - Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition - Proven ability to migrate legacy systems without disrupting business operations - Contributions to open-source security tools or supply chain security standards - Recognized technical leader via speaking, publishing, or open-source work - Advanced degree in CS, Engineering, or a related field WHAT SUCCESS LOOKS LIKE Security Posture - Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration - Build-time threat classes are addressed architecturally rather than through detection after the fact - Developers keep security controls enabled because the controls are fast and unobtrusive Business Enablement - Security and governance capabilities directly unblock enterprise revenue - New product SKUs launch in weeks instead of months through the billing platform - Usage-based billing supports monetization of new security and AI product lines Platform Leverage - Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months - Shared security primitives replace fragmented per-product implementations - Platform systems achieve 99.9%+ uptime for business-critical workflows Organizational Impact - Recognized across Docker as the definitive technical authority on build and supply chain security - Multiple Staff and Principal engineers developed who can own major domains - Docker's voice carries weight in the external supply chain security conversation Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $219K – $352K + equity ______________________________________________________________________ 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: United States Location: Palo Alto, CA (On-site) Job Type: Contract Job Overview We are seeking an experienced PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes PHYs. This role involves hands-on laboratory testing, electrical measurement, signal integrity analysis, and debugging of high-speed interfaces across PCIe, Ethernet, UFS, and LPDDR5 technologies. The ideal candidate has a strong background in post-silicon characterization or high-speed I/O (HSIO) validation, with practical experience using advanced lab equipment and developing Python scripts for test automation. Key Responsibilities Perform post-silicon electrical characterization of high-speed SerDes PHYs and memory interfaces. Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements. Operate high-speed oscilloscopes, bit error rate testers (BERT), vector network analyzers (VNA), and TDR equipment. Analyze schematics and PCB layouts to identify signal integrity issues and support electrical debugging. Perform hands-on troubleshooting and debug at the probe point to isolate and resolve hardware-level issues. Develop and maintain Python scripts for laboratory test automation, data collection, and analysis. Analyze characterization results, document findings, and collaborate with cross-functional engineering teams to improve interface performance. Support validation activities for high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, SerDes validation, or memory electrical validation. Hands-on experience characterizing high-speed electrical interfaces in a semiconductor or systems engineering environment. Proficiency with high-speed oscilloscopes, BERT, VNA, and/or TDR measurement equipment. Practical experience measuring and analyzing eye diagrams, jitter, BER, and S-parameters. Ability to read and interpret schematics and PCB layouts for hardware-level debugging. Experience with Python scripting for laboratory automation and test data analysis. Strong troubleshooting, analytical, and problem-solving skills. Ability to work on-site in Palo Alto, California. Preferred Qualifications Experience with PCIe, Ethernet, UFS, LPDDR5, or other high-speed SerDes and memory interfaces. Background working with SoCs, GPUs, networking hardware, storage systems, or automotive computing platforms. Experience with signal integrity analysis and post-silicon hardware validation. Previous experience in semiconductor, silicon design, or systems companies. Ideal Candidate Profile Candidates with titles such as PCIe Characterization Engineer, Signal Integrity Engineer, HSIO Validation Engineer, Post-Silicon Validation Engineer, or SerDes Validation Engineer are encouraged to apply. Candidates currently based in the San Francisco Bay Area are strongly preferred due to the on-site nature of the position.

• Опыт тестирования ПО от 5 лет с сильной экспертизой в тестировании данных. • Опыт тестирования корпоративных решений и сложных платформ данных.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Humanoid is seeking a Head of Solutions Engineering to turn customer operational needs into feasible, commercially compelling robotics solutions. Based in Boston, you will partner with the Commercial, Product, Engineering and Deployment teams to lead technical discovery, define customer requirements and build a clear path from initial evaluation to scaled deployment. Initially, you will be the core individual contributor: personally visiting customer sites, designing solutions, developing technical proposals and creating the pre-sales material the Commercial team needs. As demand grows, you will establish and lead the Solutions Engineering function across the UK/EU, US and MENA, hiring and developing regional engineers while retaining direct involvement in strategic opportunities.   WHAT YOU'LL DO - Customer discovery and requirements: - Lead customer site visits and operational assessments to understand workflows, volumes, layouts, materials, shift patterns and constraints; identify repeatable, high-value use cases for humanoid robotics. - Align customer Operations, Engineering, IT, Safety, Procurement and executive stakeholders on the problem to solve and measurable success criteria, including throughput, availability, accuracy and human intervention. - Build credible business cases and fleet-sizing models covering utilisation, labour assumptions, total cost of ownership, payback and sensitivity to performance and deployment ramp-up. - Solution design and Product partnership: - Define solution concepts, workflows, layouts, robot configurations, infrastructure and interfaces with customer systems such as WMS, MES, ERP and existing automation. - Work with Product and Engineering to validate feasibility, distinguish demonstrated capabilities from development requirements, and agree capability gaps, owners, validation plans and realistic timelines. - Translate customer demand into prioritised Product requirements, balancing commercial value, engineering effort and the potential to reuse capabilities across customers. - Identify safety, cybersecurity and deployment compliance requirements, coordinating with the relevant specialists and documenting the actions needed for customer approval. - Technical pre-sales and commercial enablement: - Own the technical content of proposals, solution specifications, statements of work, RFI/RFP responses and customer technical due diligence, working with Commercial and Legal on commitments. - Provide technical cost and resource estimates to support pricing, deployment planning and commercial risk assessment. - Create and maintain the full pre-sales technical library: capability and performance evidence, use-case descriptions, technical presentations, reference architectures, layouts, integration guides, FAQs, demonstration assets, business-case models and requirements/SOW templates. - Train Commercial colleagues and relevant partners to qualify use cases, gather the right site data and communicate approved technical capabilities consistently. - Use operational modelling and simulation to assess suitability and deployment economics, including Humanoid AnalitIQ where appropriate. - Validation, acceptance and deployment handover: - Define the technical scope of demonstrations, proofs of concept and pilots, including baseline measurements, test conditions, resources, milestones, pass/fail criteria and the evidence required for acceptance. - Work with Commercial to connect each evaluation to a measurable long-term business case and a credible path to larger fleet or multi-site deployment. - Coordinate technical input to trials with Product, Engineering and Deployment; evaluate results, resolve gaps and translate learning into revised requirements and reusable material. - Build and lead the global function: - Define the Solutions Engineering operating model, ownership, technical review process and engagement with regional sales teams, Product, Engineering and Deployment. - Develop a phased hiring and coverage plan across the UK/EU, US and MENA, aligned to pipeline value, opportunity complexity, travel demand and delivery capacity. - Recruit, onboard, coach and lead regional Solutions Engineers, establishing consistent standards for discovery, solution design, technical documentation and commercial judgement. - Establish the tools, CRM discipline, knowledge base and reporting needed to track requirements, feasibility decisions, proposal progress, technical risks and team performance.   WHAT WE'RE LOOKING FOR - 8+ years of proven experience in Solutions Engineering, Solutions Architecture, Pre-Sales Engineering or a similar customer-facing technical role, ideally within robotics, industrial automation or complex hardware solutions. - Solid understanding of industrial workflows, automation systems and integrations with platforms such as WMS, MES and ERP. - Strong commercial acumen, with experience building business cases, ROI models, fleet-sizing estimates, TCO assessments and deployment cost models. - Ability to work cross-functionally with Commercial, Product, Engineering, Deployment and customer stakeholders to validate feasibility, manage technical risks and align on delivery commitments. - Direct experience with humanoid robotics, autonomous mobile robots (AMRs), industrial robotics or AI-driven automation. - Familiarity with operational modelling, simulation tools and robotics deployment economics. - Experience scaling a Solutions Engineering or technical pre-sales function in a high-growth technology company. - Willingness to travel to customer sites and work closely with teams and customers across the UK/EU, US and MENA.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Paris; London Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE We’re hiring Solutions Engineers to build Synthesia’s pre-sales function in France and Southern EMEA. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across France and Southern EMEA.   WHAT YOU'LL DO - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.   WE’D LOVE TO HEAR FROM YOU IF YOU HAVE - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English and French   WE'D BE PARTICULARLY EXCITED IF - Like working in a fast pace environment - Can also speak Spanish and or Italian - Based in Paris or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.   COMPENSATION We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. Role Overview We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that make Backblaze B2 Cloud Storage a natural part of how AI workflows are constructed and deployed. This is a front-row seat to the AI ecosystem as it evolves, working directly with the latest AI startups, open source frameworks, and developer tools. This role is expected to actively use the latest AI coding agents and tools as part of everyday development work. The primary objective is to build and contribute production-quality open source integrations, new frameworks, and end-to-end example applications that demonstrate how B2 supports AI workflows. A practical understanding of AI workflows, agent-based systems, and data orchestration is required. This role demands continuous learning and hands-on testing of emerging AI frameworks and APIs as they mature, and is best suited for someone genuinely excited to work at the forefront of AI development. What You’ll Be Doing Use AI coding agents to build coding harnesses to accelerate the development, testing, and maintenance of public and internal applications, SDKs, notebooks, and reference implementations that demonstrate AI and cloud storage best practices. Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust. Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance. Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution. Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns. Tools and Technologies Languages: Python, TypeScript, Go, JavaScript and other open source languages Backblaze B2 SDKs and REST APIs Open source AI frameworks and tooling AI coding agents, such as Claude Code, Antigravity and Codex Jupyter and Google Colab notebooks GitHub, pytest, CI pipelines What We’re Looking For Software engineer with experience contributing to open source projects in one or more widely used open source languages. Comfortable owning and maintaining public repositories with external users and contributors. Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems. Experience writing production-quality code with strong testing and documentation practices. Strong written communication skills with a focus on developer experience and adoption. Why Backblaze Build open source software used by developers worldwide. Work at the intersection of AI, data, and cloud storage. Collaborate with experienced engineering, product, and QA teams. Competitive compensation and benefits. Remote-first culture supporting work-life balance. At this point, we hope you are excited about the opportunity. Even if you do not meet every requirement, we encourage you to apply. Learning, development, and growth are important parts of our culture. We are eager to meet people who believe in our mission and can contribute to our team in different ways. We want employees to feel comfortable bringing their full selves to work and doing their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are central to those values. We are committed to fostering a workplace where employees experience a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socioeconomic status, ability, veteran status, or education. We believe a diverse workforce helps us better serve customers around the world and reinforces our commitment to doing the right thing. Backblaze is proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please review the Backblaze Employee Privacy Notice . #LATAM

Location: Paris Workplace: Remote ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM You will be a part of a team of 5 engineers, working on the gaming backend platform. This team collaborates closely with all departments of the company, including Core Gaming, Live Gaming and Engineering & Data. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps. This team is a crucial part of Voodoo’s transition from Hyper-Casual games to Hybrid, Casual & Mid-Core. The backend platform has helped big titles like Mob Control https://apps.apple.com/us/app/mob-control/id1562817072 & Block Jam 3D https://play.google.com/store/apps/details?id=com.partyup.blockjam&hl=en_US achieve amazing growth. In the next phase of evolution, we want to scale this platform to our upcoming promising titles. The objective is to scale the most common features as well as develop new features based on studios'. This position can be fully remote in any EU country. ROLE You will work on the backend platform supporting highly scalable mobile games, played by millions of people every day. You will work closely with client-developers & game designers starting from feature design to delivery, validation, and iteration. The responsibilities are cross-functional, ranging from infrastructure, API design & coding all the way to client-side integration (we are using Golang). To succeed in this role, you will need to have passion for everything you do. You love to write code that scales to millions of users, are skilled at requirements gathering, champion new tech initiatives & leverage existing solutions. - 7+ years of backend development experience - Strong knowledge of computer science fundamentals - Extreme fluency in Golang - Mastery of SQL and NoSQL - Background in high-scale systems - Understanding of Unix-like environments - Experience working in cross-functional agile teams PROFILE - Strong analytical skills with a track record of solving complex problems related to scalability, performance, and integration in high-stakes environments. - Excellent interpersonal and communication skills, capable of influencing teams and interfacing effectively with various stakeholders. - Ability to be self sufficient and work autonomously. - A deep interest in game development is a plus. BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

OKX is looking for a Rust Developer to build high-performance on-chain trading infrastructure and optimize trading engine performance.

Figure is looking for a Senior Software Engineer Middleware Productivity to design and build core robot middleware frameworks, infrastructure, abstractions, and tooling.

Задачи: — Ведение custom-hand bring-up — Валидация — Интеграция — Анализ отказов — Диагностика

Задачи: — Автоматизация и выполнение системного уровня валидации для гуманоидных подсистем. Требования: — null Условия: — null

Shakepay is looking for a Staff Security Engineer to design scalable security solutions, automate detections and response workflows, lead incident response, and strengthen AI-enabled security capabilities.