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Location: Brazil Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. About the role We are hiring on behalf of a fast-growing DTC men's apparel brand doing over $10M per month in revenue. Comfort-first, performance-minded basics: shorts, tees, hoodies, pants. California-rooted, 100% bootstrapped, running on Shopify with paid Meta as the growth engine. The Role This is not a back-office job. This is the financial nerve center of a fast-moving DTC operation. You will own the daily accounting engine covering AP, receiving reconciliation, vendor accounts, and COGS accuracy. Then you will do what most accountants cannot: turn those numbers into answers. Which SKUs are printing money and which are dead weight? Which vendors are quietly bleeding the company on variances? You will work directly with ownership. No layers, no bureaucracy. Ownership handles month-end close and the big strategic calls. You run the daily operation, surface what matters, and bring analysis sharp enough to change decisions. When you find something, it gets acted on that day. If you have ever caught a six-figure error nobody else saw, or built the analysis that killed a bad product line, this is your room. What You'll Own Accounts Payable, full cycle Process, code, and schedule vendor invoices across the full supplier base Execute 3-way matching (PO, receiving report, invoice) on every inbound shipment Run payment cycles, track terms, and capture early-pay discounts Resolve discrepancies directly with vendors Receiving and Inventory Accuracy Daily reconciliation of invoiced quantities against goods actually received Catch short ships, production variances, and pricing errors before they become write-offs Partner with fulfillment leadership to keep receiving documentation airtight COGS and Unit Economics Maintain weighted average cost accuracy across roughly 1,300 SKUs Reconcile landed costs including freight, duties, and inbound charges into true unit economics Support monthly COGS true-ups and inventory valuation reviews Vendor Management Own vendor account reconciliations, statement reviews, and terms compliance First line on anything billing-related with the supplier network Track vendor performance: variance rates, pricing drift, chargeback recovery Analysis Blended and category-level gross margin tracking SKU contribution, velocity, and markdown exposure across 1,300 SKUs Vendor scorecards on cost, accuracy, and reliability Ad hoc deep-dives for ownership: spend reviews, pricing scenarios, whatever needs answering that week Requirements Requirements 3 to 6 years in accounting or accounting plus FP&A, with real inventory, AP, or cost accounting exposure. Apparel, CPG, or DTC ecommerce strongly preferred Fluent in 3-way matching and comfortable pushing back on vendors when the numbers do not add up Excel killer: pivots, lookups, and models built from scratch You think in unit economics, not just journal entries ERP experience such as NetSuite, QuickBooks, or similar. Shopify ecosystem familiarity is a plus Self-directed and fast Benefits Work From Anywhere Competitive salary paid in US$

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future. Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1. You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields. Key responsibilities Build products that unlock scientific discovery Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude Work closely with research to make models better at science and engineering Spend time with users in academia and industry to decide what to build next Own technical design and delivery end to end, shipping product quickly rather than just executing a spec Minimum qualifications Software engineering experience, including owning the technical design and delivery of products Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use Comfort working directly with technical domain experts and customers, and turning what you learn into product Enjoyment of solving hard problems together with researchers, scientists, and other engineers Preferred qualifications 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools Experience as a founder or early engineer at a company building tools for scientists or engineers Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: San Francisco, California; Dallas, Texas; New York, New York Workplace: Remote ROLE SUMMARY The Solutions Architect is Temporal’s primary customer-facing technical leader within the Majors team. In this crucial role, you’ll work directly with prospects and customers, guiding them in understanding the suitability of their applications for Temporal’s platform and showcasing the technical advantages of our cloud service. Your contribution is vital in positioning Temporal against alternative technologies, helping customer engineering teams expand production applications using Temporal, and owning the technical relationship with key decision-makers. Your role is integral to our success. WHAT YOU’LL DO - Collaborate with prospects to determine if their applications fit Temporal’s platform well. - Educate customers and prospects on the technical benefits and limitations of Temporal’s platform and cloud service. - Position Temporal as an enterprise development standard against competing technologies and architectural patterns. - Foster an environment within customer engineering organizations to increase the adoption and expansion of Temporal in production environments. - Partner closely with Account Executives to develop and execute comprehensive account plans across both new opportunities and expansion, accounting for the customer's long-term success and outcome. - Manage and nurture relationships with technical decision-makers within customer organizations, ensuring they fully leverage Temporal’s capabilities. - Create reusable technical assets, reference architectures, playbooks, and demos that provides value for other Solution Architects. - Travel expected to be 25-50% WHAT YOU’LL BRING - Reside in for San Francisco, Dallas or New York City - Exceptional technical communication skills across altitudes, from a staff-level engineer whiteboard to a platform-team enablement session to a VP/CTO narrative. - Deep understanding of distributed system technologies, design principles, and best practices. - Proficiency in building application prototypes and providing design, development, build, and deployment guidance using one or more of Temporal’s supported languages: Java, Golang, Python, C#, TypeScript, Ruby, or Rust. - Firm grasp of operational considerations in production environments, such as security, reliability, performance, cost management, and operations. - Ability to provide insightful advice on architectural topics, including application patterns and platform architectures. - Experience with at least one major cloud provider and familiarity with commonly used application development and production services. - Ability to serve as a strategic technical advisor to Sales Account Executives, assisting with scoping and sizing opportunities and offering guidance on technical fit and challenges. 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: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . As a Embedded Systems Staff Engineer, you will own the architecture, maintenance, and continued improvement of ARM architecture support within Bugcrowd. Job Summary In this role, you will work at the boundary between CPU emulation, operating-system semantics, binary analysis, fuzzing, and symbolic execution. You will improve Bugcrowd’s ability to execute and analyze ARM and AArch64 binaries, diagnose subtle differences between native and emulated execution, and extend our support for new operating environments, binaries, and firmware targets. Essential Duties & Responsibilities Own and evolve Bugcrowd’s ARM and AArch64 execution support using emulation. Diagnose correctness, compatibility, and performance issues involving instruction semantics, memory management, exceptions, system calls, signals, threading, and process startup. Add support for new ARM architectural features, instruction-set extensions, ABI variants, and execution environments. Investigate discrepancies between native execution, QEMU execution, and Bugcrowd’s analysis engines. Improve the performance, determinism, observability, and reliability of large-scale emulated workloads. Develop test suites and regression infrastructure for instruction-level and end-to-end ARM behavior. Debug customer binaries and firmware that exercise unusual platform, compiler, or operating-system behavior. Education, Experience, Knowledge, Skills, and Abilities 6+ years experience developing C/C++ on Linux Significant experience working with low-level systems software such as emulators, virtual machines, operating systems, compilers, debuggers, binary translators, hypervisors, or dynamic instrumentation systems. Deep understanding of ARM and/or AArch64 assembly, calling conventions, exception models, privilege levels, and memory semantics. Strong understanding of Linux process execution, including ELF loading, virtual memory, signals, threads, system calls, dynamic linking, and debugging facilities. Experience debugging complex native-code failures using tools such as GDB, LLDB, strace, perf, sanitizers, core dumps, or custom instrumentation. Ability to reason about instruction-level behavior and identify subtle differences between architectures or execution engines. Familiarity with fuzzing, symbolic execution, dynamic binary analysis, or program instrumentation, plus strong software-design skills and experience owning technically complex systems. Preferred Experience OCaml or other functional programming language Background in vulnerability research, reverse engineering, or firmware analysis. BS degree in Computer Science or related technical field, or equivalent practical experience. US Person (for ITAR, such as a US citizen, lawful permanent resident, or protected individual) Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided compensation details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current hourly rate for the position of $96.75 - $133.03. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview Fanatics Betting & Gaming (FBG) is the online and retail sports betting subsidiary of Fanatics Holdings, Inc. As a Staff Engineer on the Balance and Ledger team, you will be the technical owner of the ledger and balance services that hold customer funds across Fanatics. Balance and Ledger will be a shared ledger and a customer-level balance that can be used across Sportsbook and Casino, Markets, and other LOBs. You will design the systems that make this possible: a ledger that is correct and auditable, a balance model that enforces which funds can be used where, and a migration path that moves existing wallets onto the shared platform without disrupting customers. This role combines deep backend expertise with architectural leadership. You will set the technical direction for the balance platform, work closely with Payments, Fraud, Responsible Gaming, Finance, Legal, and Compliance partners, and guide engineers across several teams as new businesses adopt the shared ledger. Responsibilities Own the architecture of the ledger and balance services, including the data model, consistency guarantees, and the interfaces other businesses use to read balances and authorize spend. Design and build distributed services in Java and Spring Boot that handle high transaction volume with strict correctness, idempotency, and auditability requirements. Model funds by type and eligibility , so that each portion of a customer's balance is usable only where client, product, customer location, and transaction type allow, and so that a regulator-driven restriction can be applied quickly and safely. Lead the migration of existing business wallets onto the shared ledger in phases, including dual-running, reconciliation, cutover, and rollback plans that avoid customer-visible downtime. Architect event-driven integration using java and architectural patterns so that balance changes are published reliably and downstream consumers can depend on ordering and delivery. Carry responsible gaming protections with the balance , working with the Responsible Gaming and Fraud teams so that limits, self-exclusion, and other customer protections remain enforced as funds are used across businesses. Work with Finance, Legal, and Compliance on how funds are attributed between businesses, how settlement and chargebacks are handled, and what data may be shared across Fanatics entities. Build for reconciliation and audit , including complete transaction histories, financial reporting feeds, and tooling that lets Operations and Finance verify balances independently. Lead technical initiatives that span multiple teams, and run architectural reviews, design sessions, and incident postmortems. Mentor engineers and raise the standard for security, observability, reliability, and testing across the platform. Partner with product, frontend, and mobile teams so that balance behavior is clear and consistent in every customer-facing experience. Be open to occasional travel to Fanatics offices or industry events for planning, collaboration, and team development. Required Qualifications 8+ years of professional software engineering experience, with deep expertise in Java and Spring Boot. Experience designing and operating a ledger, wallet, balance service, or another financial system of record where correctness and auditability are requirements. Strong command of transactional consistency, idempotency, concurrency control, and relational data modeling in systems that cannot lose or double-count a transaction. Experience building event-driven systems and working with message streaming platforms such as Kafka. Demonstrated success setting technical direction and driving alignment across multiple teams. Experience migrating live, high-traffic systems with minimal customer impact. Ability to explain complex technical tradeoffs clearly to engineering, product, finance, and leadership audiences. Comfort working in a fast-paced, regulated environment with changing priorities. Preferred Qualifications Experience in online gaming, sports betting, fintech, banking, or payments. Experience with a shared platform used by several business units, including managing adoption, versioning, and ownership boundaries. Experience with financial reconciliation, settlement, or accounting-oriented data models. Familiarity with data privacy and consent requirements when customer data moves between legal entities. Experience with AWS, Kubernetes, and observability tooling such as Datadog, Grafana, or CloudWatch. Interest in developer experience, clean API design, and systems that remain maintainable as more teams depend on them. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

General Intuition & Medal is looking for a Member of Technical Staff Simulation to build simulation environments and train robot controllers with reinforcement learning.

Location: France - Office - Paris Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: At Tenable, our Identity Exposure team helps security teams cut through noise by connecting identity context to vulnerabilities, so they can prioritize what actually matters and act with confidence. As a Staff Engineer on this team, you'll shape our platform's future by driving technical discussions and owning the delivery of end-to-end features. You understand the architectural stakes behind your decisions, and raise the engineering bar across the team and beyond it. What You'll Do: Design, build, and maintain robust features spanning UI, API, and data layers. Own delivery end to end, from product discussion to production health. Help the team grow. share context, give and receive feedback openly, make the people around you sharper engineers over time. Work cross-functionally across products, teams, geographies, and disciplines; you move across the stack and across domains, no problem is outside your reach. Contribute freely across repos you don't own — no territorial instincts, just open the PR and get it merged. Drive architectural discussions and advocate for scalable, maintainable and cost-conscious designs; you spot friction early, flag risks before they escalate, and move. Contribute hands-on to AI-driven features and data-intensive product capabilities. What You'll Need: Product-first mindset. Excellent English. Strong communication and ability to drive change efficiently across teams. Pragmatic mind, balancing craftsmanship with delivery, you ship and take pride in it. Fullstack engineering capabilities with a strong backend foundation. Solid object-oriented programming skills. Experience working with high-volume data systems. Familiarity with AI/ML practices. Comfortable operating in complex, large-scale processes. Nice to Have: AWS · DynamoDB · Snowflake · ClickHouse · Kotlin · Python · Dotnet #LI-AV1 #LI-Hybrid This is the expected salary range for this position in the primary job location, depending on experience and qualifications. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of Competitive wellness and financial benefits. EU Pay Range €72.500 — €96.500 EUR We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Paris 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. ABOUT THE JOB As a Applied AI, Frontier Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who has shipped agentic or GenAI systems to production. You've felt the pain of agents that work in the demo and fall apart on real tasks: tool calls that fail silently, loops that never end, and quality that drifts after launch. That production depth is your edge. You build across the stack, and you'd rather ship a plain UI on a solid foundation than a polished UI on a fragile one. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. You help set the standard for how the team builds agents that are reliable, observable, and safe to run against sensitive systems. Security is a big part of where we're heading. If you're drawn to it, that's a strong plus. You might come from security with a real interest in AI engineering, or from AI engineering with a real interest in security. Both paths fit. Curiosity about how systems break, and a habit of learning fast from the people who know the domain, matter. Experience at a security company counts too. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the agent architecture: orchestration, tool use, memory, retrieval, and the interfaces between agents and the systems they act on. - Build across the stack, from backend services and APIs to the interfaces people use to work with agents. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build security into agents from day one: permissions, sandboxing, prompt-injection defenses, and audit trails for agents that touch sensitive systems. - Build the evaluation loop: task-level evals, tracing, and checks that catch agent failures and quality drift before customers do. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have 5+ years building production software, with at least one agentic or GenAI system shipped to production that you ran after launch. - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have hands-on depth in agent design: orchestration, tool use, retrieval, evaluation, and the ways agents fail in the real world. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments and are obsessed with time to value - You have product judgment: you learn what users need through customer-facing teams, cut scope hard, and care how the result feels to use. IDEALLY YOU HAVE - Open-source contributions, particularly in agents or LLMs. - Experience deploying and running what you build: Docker, Kubernetes, Terraform, and AWS, GCP, or Azure. - A security background in application, cloud, or AI security, such as prompt injection, securing agents, or supply chain (SBOM, SLSA). If that's you, flag it in your application. - Experience building for security workflows, such as alert triage, threat hunting, or investigation agents, or with SIEM, XDR, or SOAR tooling. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. 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: Paris; London Workplace: Hybrid 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. ABOUT THE JOB As a Applied AI, Frontier Data Engineering, Staff, you will build the systems behind some of the hardest problems Mistral takes on. You join our team of engineers in Applied AI. We gravitate towards hard problems, decide how to solve them, and ship fast. You work closely with our customer-facing teams, and what works goes into production with our customers and across the company. When a project needs it, you work directly on customer engagements. We're looking for a strong software engineer who builds end to end and has shipped ML or GenAI systems to production. You've felt the pain of models that pass every eval and fail on real data, and of quality that drifts after launch. You've also felt the data engineering pain: pipelines that break silently, schemas that change under you, and backfills that take a weekend. Data engineering is your edge. You turn messy, large-scale data into systems that hold up. You think like a founder. You start from the customer's problem, not the technology. You measure success by the value you deliver, and you care about building experiences people love to use. You like working at the edge of what AI can do today, and you push past it. Your scope is end to end, from first prototype to production. Your depth in data architecture helps set the standard for how the team designs and delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they're overkill. You've designed ontologies and data models, and you know that getting them right is as much art as science. WHAT YOU WILL DO - Build AI systems end to end, from first prototype to production. - Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable. - Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine-tuning. - Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time. - Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start. - Build data governance into the systems themselves: ownership, access control, lineage, retention, and privacy for sensitive enterprise data. - Build the evaluation loop: labeling with LLMs and humans, versioned eval datasets, and checks that catch quality drift before customers do. - Set the standard for how the team designs and ships data systems. - Work with researchers, engineers, and customer-facing teams to turn hard problems into systems people rely on. WHAT WE'RE LOOKING FOR - You have full ability to ship across the stack: proficient NodeJS e.g. NextJS/Express/Fastify or similar or Python e.g. FastAPI. You are confident with TypeScript + React/NextJS or similar. Solid beats polished. - You have 5+ years of experience building and running production data-intensive pipelines with distributed processing (for example Spark, Ray, Beam, or Dask) and orchestration tools (for example Airflow, Dagster, or Prefect) with structured and unstructured data. - You have experience with retrieval-augmented generation, agentic use cases, or LLM evaluation, and a clear view of how data quality drives model quality. - You work autonomously: you find the problem, decide the approach, and own the outcome. - You communicate clearly with technical and non-technical audiences, and are fluent in English. - You ship in increments, are obsessed with time to value and are comfortable making and articulating product-technical tradeoffs. IDEALLY YOU HAVE - A passion for graph-based systems (e.g. Neo4j) and ontology design - Hands-on experience building data pipelines for LLM training, fine-tuning, or evaluation, and contributions to open-source projects, particularly in data or LLMs. - Hands-on experience with data governance and privacy requirements (for example GDPR), secure data handling, CI/CD and infrastructure as code, or an affinity for security engineering. HOW WE WORK IN APPLIED AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. 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.

Задачи: — Разработка высокопроизводительной облачной платформы в новом Automotive IoT проекте. — Быстрая реализация работающего PoC и последующего MVP. — Самостоятельное принятие архитектурных решений и их реализация в коде. — Работа с high-load / high-performance серверными системами, многопоточностью, concurrency, async I/O. — Сетевое программирование с использованием TCP/IP и распределённых систем. — Оптимизация производительности: low latency, high throughput, отказоустойчивость. — Практическое применение AI coding agents. Требования: — Сильный коммерческий опыт разработки на C++. — Уверенное владение Python. — Опыт разработки высоконагруженных серверных систем. — Знания многопоточности, concurrency, async I/O. — Опыт сетевого программирования, TCP/IP, распределённых систем. — Навыки оптимизации производительности и обеспечения отказоустойчивости. — Умение самостоятельно принимать архитектурные решения и реализовывать их. — Практический опыт работы с AI coding agents. — Будет плюсом опыт в telecom, networking infrastructure, real-time data processing, IoT, Automotive. Условия: — Удалённая работа по всему миру. — Полная занятость. — Зарплата $6,000–7,000 в месяц и выше. — Ранний этап проекта с возможностью быстрого создания PoC и MVP. — Позиция Senior+/Staff по техническому уровню, без руководства командой. — Важна самостоятельная работа с кодом и ответственность за результат. — Основной профиль — высоконагруженные backend-системы, не web-разработка и CRUD-сервисы.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid We are looking for a Technical Program Manager to own inDrive’s largest cross-team programs end to end. You will work across tens of teams, partner directly with product and engineering leadership, and decide not only how our biggest programs are delivered but which ones we run and in what order. The role sits between product intent and technical reality. You will work with Product Managers to scope, prioritise and phase what we build, and with engineering to decide how it gets built - then own the dependency picture across the entire surface. This is a deeply technical role. You will spend your time in architecture discussions, design reviews and trade-off decisions, not only in status meetings. We are looking for someone who has built software or led engineers, and who can hold their own with staff engineers and architects. You will join the Program Management team inside the Product & Technology PMO, alongside Product & Engineering Excellence and CTO/CPO Operations. Please note that we are looking for a candidate based in Georgia (the country), not the U.S. state Key Responsibilities Coordination of several product teams’ work to ensure delivery of value within expected timelines Working closely with Engineering manager and team members to create products and achieve tangible impact throughout the development lifecycle Managing project schedules, identifying potential issues, and timely informing all key stakeholders Managing priorities, risks, and dependencies Establishing a process for continuous improvement of metrics - performance (delivery and discovery), quality, as well as team engagement and maturity Facilitating project or program-level events Skills, Knowledge and Expertise End-to-End Ownership. Own end-to-end delivery of inDrive’s largest org-wide technical programs, from initiation and scoping through architecture, execution, launch and adoption, against measurable outcomes over multiple quarters Product Partnership. Partner with Product Managers across business verticals and platform to scope programs, challenge and sharpen requirements, agree what is in and out, and turn ambiguous product intent into a program with a defensible shape Prioritisation and Phasing. Drive prioritisation and phasing decisions with Product and Engineering — what ships first, what can wait, what can be split — so that value lands early and the plan survives contact with reality Cross-Surface Dependencies. Identify, map and resolve dependencies across the whole surface, including the ones nobody has noticed yet Technical Depth. Understand technical implementation at the architecture level and contribute to decisions on system design, scalability and reliability Solution Architecture. Own the technical coherence of end-to-end solutions that span multiple services, platforms, vendors and markets, and be accountable for the technical KPIs and SLAs your programs commit to Technical Judgment. Use your engineering background to help teams make sound design decisions, identify gaps in proposed solutions and weigh product-versus-technology trade-offs Portfolio Management. Own a portfolio of programs: sequence them, resolve cross-program dependencies and capacity conflicts, and make the calls on scope, timeline and technical approach Structure in Ambiguity. Create structure where none exists by defining program frameworks, decision points, operating cadences and communication models Systemic Risk. Detect risk visible only from a cross-program vantage point, and intervene to stabilise at-risk programs anywhere in the portfolio Execution at Scale. Identify where the organisation is losing speed, design scalable processes to fix it, and drive adoption across all Prod/Tech teams Executive Partnership. Partner directly with Product/Engineering Directors, VPs, the CTO and CPO on priorities, goals and trade-offs, and own executive communication so decisions are made quickly and with the right information Craft Leadership. Mentor Technical Program Managers and set the craft direction for the program management group 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: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff engineer (L4) on Twilio’s Segment, Data Pipelines team. About the job As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll be designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment. Ship features that opt for high availability and throughput with eventual consistency Collaborate with engineering and product leads, as well as teams across Twilio Segment Support the reliability and security of the platform Build and optimize globally available and highly scalable distributed systems Be able to act as a team Tech Lead as needed Mentor other engineers on the team in technical architecture and design Partner with application teams to deliver end to end customer success. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec). 8+ years of experience writing production-grade code in a modern programming language Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems. Experience programming in one or more of the following: Go, Java, Scala, or similar languages Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts. Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP) Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink). Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS) Leverage best-in-class development productivity practices including AI tooling. Experience shipping services (products) following CI/CD development paradigm. Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms) Desired: Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage Have a track record of successfully leading teams, large projects, or owned and built an important, complex system end to end, delivered iteratively. Excellent written and verbal technical communication skills to convey complex technical concepts effectively.Comfortable asking questions and taking initiative to solve problems where it is often necessary to “ draw the owl ” Location This role will be based in any of the permitted 5 India states (Delhi, Karnataka, Maharashtra, Telangana & TamilNadu) Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Ищем сильного hands-on инженера для разработки высокопроизводительной облачной платформы в новом Automotive IoT проекте. -Сильный коммерческий C++ и уверенный Python.

Responsibilities: — Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance — Define technical strategies with a multi-quarter horizon, clarifying ambiguous requirements for novel cryptographic solutions — Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment — Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure — Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Requirements: — 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems — Deep domain expertise in applied cryptography, Key Management Systems (KMS), or Hardware Security Modules (HSMs), with proven experience safely implementing cryptographic protocols (Multi-Party Computation experience strongly preferred) — Extensive programming experience in systems languages such as Golang, Java, C++, or Rust, with ability to operate in a Golang-heavy environment — Proven track record operating Tier-0 or highly critical infrastructure where system resilience, security, and low latency are absolute prerequisites — Demonstrated experience leading a team's technical strategy, architecture, and deliverables for large-scale projects, including navigating complex regulatory requirements and translating them into robust engineering solutions — Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality Benefits: — Accommodations for individuals with disabilities available upon request via email at accommodations[at]coinbase.com

Location: Australia (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. ABOUT THE ROLE Teleport Cloud takes our traditionally open-source and enterprise access plane and provides a SaaS option for our customers to adopt. As such, our team is building our production and software as a service infrastructure from scratch. We tackle the hard problems that allow our customers to trust us for secure and reliable access to their infrastructure. Excellent security is table stakes; a security breach can compromise our customers' infrastructure. We must also balance security with maintaining productivity and building a compelling product offering for our customers. Most of the code you will write will be written in Go. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building. Important information - We require to be in-person in our San Francisco Bay Area office for the onboarding week. - We conduct background checks. WHAT YOU'LL DO - Re-engineer the core teleport product to scale globally and optimize routing latency for teams distributed around the world - Re-write portions of the core Teleport product to enable our goals for the cloud product - Build out our monitoring and observability stack to alert us to production issues and minimize false positives so we can all get a good sleep at night - Work on automation to tackle and eliminate the highest toil activities - Execute on traditional operation challenges, such as patching, scaling, backup and restore, disaster recovery, and more - Investigate the outages and incidents our customers experience with our product - Participate in the on-call rotation to ensure 24/7/365 system uptime. WHAT WE'RE LOOKING FOR - Willingness to collaboratively work with Teleports’ engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md as part of the interview process. - 8+ years of progressive experience in Software Engineering and/or SRE/DevOps roles. - Strong experience in Linux systems, networking, containers, and troubleshooting. - Have solid Go and production Kubernetes development experience. - Technical leadership experience. - Strong experience developing scripts, automation, submitting patches to the product codebase, or building tooling that incorporates AI agents into operational workflows. - AWS Cloud experience is preferred, GCP experience is acceptable. - Systems Observability tools: Prometheus, Grafana, Loki etc. - Operate and support the observability platform to maintain visibility and reliability. - Experience operate in a team where sound security choices are critical, and where reasoning about correctness and system invariants (e.g. formal or property-based methods) is valued. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Excellent communication skills. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager or a Lead Engineer. They will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager or Lead Engineer, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. 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/

General Intuition & Medal is looking for a Member of Technical Staff Infrastructure to own cloud, storage, data-pipeline, and CI/CD infrastructure while building and leading the infrastructure function.