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Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. Every one of those deployments involves custom engineering: integrating with the customer's coding agents and security stack, running in their cloud or on-prem environment, and tuning monitors to their workflows. We are looking for a Forward Deployed Engineer to own that work end to end. You will be the technical face of Watcher to customers across the entire lifecycle: running technical evaluations and POCs with prospects, deploying Watcher into customer environments, building the integrations and custom capabilities they need, and providing white-glove support that turns early customers into long-term partners. You are an engineer first. When a customer needs something, your default is to build it, and then to work with the product team to decide what becomes part of the core product. This is truly a "start-up role." You will be one of the first dedicated customer-facing engineers, you will have significant say in shaping how Apollo deploys and supports Watcher, and you can earn more responsibility quickly. As we grow, this role can develop toward leading forward-deployed engineering, solutions architecture, or core product engineering, depending on your interests. KEY RESPONSIBILITIES Deployment and integration engineering (~40%) Own customer deployments end to end: cloud, on-prem, and self-hosted backends, from architecture discussion through production rollout. Build integrations between Watcher and customer environments: coding agent setups (Claude Code, Codex, Cursor), SIEM and security operations tooling, identity and access systems, CI/CD pipelines. Configure and tune monitors, policies, and permissions for each customer's workflows, and validate that monitoring quality holds on their real traffic. Debug issues in environments you don't control, often under time pressure, and drive them to resolution with the product team. Pre-sales and technical evaluation (~30%) Run technical evaluations and POCs with prospects: scope the pilot, deploy Watcher on their agent traffic, and demonstrate concrete value (caught failures, security coverage, developer experience). Serve as the technical counterpart to security and engineering leaders during evaluations: answer architecture and security questions, run demos on the prospect's actual use cases rather than canned examples. Work with our AI Security & Control Engineer on security questionnaires, architecture reviews, and customer pen-test support during procurement. Feed honest signal back into the team about why deals progress or stall technically. White-glove support and product feedback (~30%) Be the named technical contact for key customers. Own their escalations, incident communication, and feature requests. Build customer-specific capabilities where warranted, and drive the "should this be product?" conversation with the Engineering Manager and product engineers so one-off work compounds into the roadmap. Turn deployment experience into leverage: documentation, deployment tooling, and runbooks that make every subsequent deployment faster and less bespoke. Represent the voice of the customer in planning: you will know better than anyone what real security and platform teams need from Watcher. REPRESENTATIVE PROJECTS Land a lighthouse enterprise: Run a POC for a large enterprise with a strict security posture: scope the pilot with their security team, stand up a self-hosted backend inside their infrastructure, integrate with their SIEM, tune monitors on their traffic, and present results that convert the pilot into a production contract. Build a reusable deployment path: After your first several deployments, turn the bespoke steps into a repeatable, documented, partially automated deployment package (infrastructure templates, integration modules, validation checks) that cuts time-to-production for new customers by more than half. Ship a customer-driven capability into the product: Take a recurring customer request (e.g. a custom alert routing scheme or a new agent integration), build it for the customer who needs it, generalize it with the product team, and ship it as a core Watcher feature. Rescue a wobbly account: A customer's monitors are noisy, their engineers are annoyed, and their security lead is questioning the renewal. Diagnose the root causes of their traffic, retune the configuration, fix the underlying issues with the product team, and win back their confidence. JOB REQUIREMENTS Must-haves Strong engineering foundation. 3+ years building and shipping production software. You can work across the stack (Python and TypeScript primarily), read unfamiliar code fast, and are comfortable with cloud infrastructure, networking basics, and deployment tooling. You will regularly build under constraints you don't choose, in environments you don't control. Genuinely good with customers. You communicate clearly with both hands-on engineers and security leadership, you stay calm and constructive when something is on fire, and customers come away trusting you. This is not a tolerance requirement; you should like this part of the job. High agency and ownership. When a customer is blocked, you don't wait for a ticket to be routed. You find the problem, fix it or escalate it with a proposed solution, and follow through until it's resolved. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters, including occasionally at customer-driven hours. Judgment on custom vs. core. You can tell the difference between a request worth building bespoke, a request that should become a product, and a request to push back on, and you can deliver that pushback to a customer gracefully. Strong written communication. Deployment docs, incident updates, and POC reports need to be clear and precise. Comfortable leveraging AI heavily for engineering and customer work, while holding the output to a high standard. Strong nice-to-haves Prior FDE, solutions engineering, or professional services experience, especially at a developer-tools, security, or infrastructure company. Experience deploying software into enterprise environments: on-prem, VPC deployments, SSO/identity integration, security reviews, procurement processes. Familiarity with the enterprise security stack (SIEM, DLP, endpoint tooling) and with how security teams evaluate vendors. Experience with coding agents as a power user or builder. You have used Claude Code, Codex, Cursor, or similar tools heavily, or built agent tooling yourself. Pre-sales exposure: you have run POCs or technical evaluations and know how to demonstrate value on a prospect's terms. Willingness to travel occasionally to customer sites. Explicitly not required Formal AI safety background. We need excellent customer-facing engineers who can learn the AI safety context. Sales experience or quota history. You support deals technically; you don't carry a number. Deep expertise in every technology we use. We care about demonstrated ability to learn fast in unfamiliar environments, which is the core skill of this job. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $222,000 - $290,000; London : £149,000 - £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office, with occasional travel to customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises. We are looking for a product engineer to build and scale Watcher end to end. This role includes backend and frontend components. You will own features across the full stack, from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You can expect to  own features from customer conversation to production deployment. This is truly a “start-up role”: you will own big chunks of the product, make decisions fast, and ship at high volume. You will join a small team with significant ability to shape the product and tech, and you can earn more responsibility quickly. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Ship product end to end (~45%) Feature development Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard. Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage. Build Watcher integrations:  We currently support Claude Code and Codex, but we’re planning on increasing our coverage to other coding agents, LLM gateways, and anywhere that could benefit from agent monitoring. Build the policy and configuration layer that lets security teams set org-wide guardrails for  engineers to operate safely within. Productionize research Turn monitoring research (new monitors, grading strategies, backtesting results) into production-ready product features. We are "our own customer": You will use the product you build every day. Infrastructure and scale (~35%) Design and operate backend systems that process large volumes of agent logs in real time. Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting). We should catch issues before customers do. Architect data models and storage that handle both high-throughput writes and complex analytical queries over historical trajectories. Retention policies have to fit highly sensitive customer data. Make sure Watcher is safe to deploy: Work with our AI Security & Control Engineer on tenant isolation, encryption, and access controls. Watcher touches some of the most sensitive data our customers have. Customer and integration engineering (~20%) Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems and existing security operations workflows. Support flexible deployment models: cloud-hosted, on-prem, and local backends, so sensitive agent logs never have to leave customer control. Talk to customers, debug issues in their environments, and feed what you learn back into the roadmap. REPRESENTATIVE PROJECTS Secure a new frontier coding agent: Take an agent we don't yet support (e.g. Cursor) from zero to fully monitored. Build the hook/integration layer, normalize its trajectory format into our data model, validate monitor accuracy on real traffic, and ship it to customers. Build the real-time blocking path: Design the low-latency pipeline that lets monitors block dangerous actions (e.g. git push --force, secret exfiltration) before they execute, while keeping p95 latency low enough that developers don't feel it. Handle traffic spikes and partial failures gracefully. Ship an Analyzer capability end to end: Design and build an organization-wide view (e.g. failure trends over time, cross-session pattern detection) from data model through API to UI, based on what security teams actually need. Deploy Watcher inside locked-down enterprises: Build and document the self-hosted/on-prem deployment story so that enterprises with strict data requirements can run Watcher  inside their own infrastructure. JOB REQUIREMENTS Must-haves 4+ years building production software. You have shipped and operated real systems with real users, and you know what it takes to keep them reliable. Full-stack capability. You are strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI). You don't need to be world-class at both, but you must be able to own a feature across the whole stack. Our stack is primarily Python and TypeScript. High agency and ownership. You are willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome. You don't wait to be told what to do and have an accurate sense of the roadmap for the product. High output volume. You have used Claude Code, Codex, Cursor, or similar tools heavily to accelerate or have built agents or agent tooling yourself. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Product sense. You can talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut. Strong nice-to-haves Previous work on developer tools, monitoring/observability systems, or security products. Watcher sits at the intersection of all three. Real-time or large-scale data processing experience (streaming pipelines, message queues, high-throughput log systems). Enterprise or on-prem deployment experience. Shipping software into environments you don't control is its own skill. Experience building LLM-powered applications, e.g. LLM-as-judge setups, evaluation pipelines, or familiarity with frameworks like Inspect. Early-stage startup experience. You have been employee 1-15 somewhere and know what it feels like to build a product with no playbook. Explicitly not required Formal AI safety background. We need excellent product engineers who can learn the AI safety context, not AI safety researchers who need to learn engineering. Management experience. This is an IC role, at least initially. Deep experience in every technology we use. We care about demonstrated ability to learn and ship, not checkbox familiarity with our exact stack. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco: $222,000 – $290,000 London: £149,000 – £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a software engineer, you will work on a specific project critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, Go, or Python, with a strong understanding of software development principles. in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Almaty, Kazakhstan Workplace: OnSite Why work at Higgsfield AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. Why this role exists Higgsfield is one of the fastest-growing generative AI companies in the world. Every generation is a policy decision at scale, and the surface area (NSFW, IP, likeness, anti-fraud, deepfakes, regional law) grows every week. Trust & Safety needs a PM who can turn ambiguous legal, policy, and financial-abuse inputs into shipped systems, not another doc. What you'll actually do • Own the T&S product surface end-to-end: classifiers, appeals, user-facing warnings, moderator tooling, enforcement flows. • Own anti-fraud alongside content safety: multi-account farms, free-trial abuse, refund abuse, chargebacks, prompt-injection cost exploits, reseller wrappers. Fraud is a large and growing share of the T&S problem here. • Translate legal, policy, and financial-risk requirements into concrete product specs the ML and engineering teams can build against. • Set thresholds and enforcement policy in partnership with Applied ML: what gets blocked, what gets warned, what gets appealed, and the dollar and reputational tradeoffs behind each choice. • Run the incident loop when something breaks in production, provider escalations, misuse incidents, fraud spikes, new abuse vectors, and ship the fix. • Design the metrics that matter: dollars saved from fraud, false-positive cost to legit users, false-negative legal exposure, appeal reversal rate, coverage across new models and markets. • Work directly with Legal, Applied ML, Backend, Growth, Payments, and external providers to keep our contractual and regulatory obligations current. Must-haves 1. Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec. 2. Shipped T&S, moderation, fraud, risk, or compliance products at scale. You've made real enforcement decisions that affected real users and real money. 3. Comfort with legal, policy, and financial-risk ambiguity. You've worked with counsel, payments providers, or regulators and translated their inputs into product. 4. Strong technical judgment. You can reason about classifier tradeoffs, fraud-detection tradeoffs, threshold selection, and evaluation without needing an engineer to translate. 5. You make decisions in dollars and risk, not opinions. A block rate has a cost, a miss has a cost, a false fraud flag has a cost, you can argue all sides. Who this is not for • You prefer working from complete specifications rather than defining problems yourself. • You want to write strategy docs more than ship enforcement changes. • You are looking for a slower release cycle. We ship weekly, and incidents can compress that to hours. Nice to have • Background at a generative AI, UGC platform, marketplace, or fintech risk team in the US, EU, or Asia. • Direct experience with C2PA, child safety classifiers, IP takedowns, DMCA, GDPR enforcement, chargeback flows, or 3DS. • Comfort with adversarial abuse patterns and how they evolve. What We Offer - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A seat where your policy call ships to millions of generations the same week - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits. This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.

Location: San Francisco; London We are hiring builders to define how people talk to, show things to, and hear from AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC. - Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load. - Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack. - Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch. - Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale. - Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs. WHAT WE'RE LOOKING FOR - 4+ years of professional software engineering experience building backend or distributed systems. - Strong experience in Rust, Python, or Go (we work primarily in Rust and Python). - Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery. - Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport. - Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends. - Experience integrating LLMs, speech models, or computer vision into production systems. - Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments. - Time spent at a fast-growing startup or on a high-ownership engineering team. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; London We are hiring builders to define how people talk to, show things to, and hear from AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC. - Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load. - Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack. - Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch. - Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale. - Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs. WHAT WE'RE LOOKING FOR - 4+ years of professional software engineering experience building backend or distributed systems. - Strong experience in Rust, Python, or Go (we work primarily in Rust and Python). - Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery. - Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport. - Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends. - Experience integrating LLMs, speech models, or computer vision into production systems. - Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments. - Time spent at a fast-growing startup or on a high-ownership engineering team. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Your job is to lead the team building Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. You will design and architect our platform by wearing many different hats in a small team. As a Team Lead you will still write code and make critical technical decisions, but you are also accountable for how the team works: what it builds, how it prioritizes, how it grows, and how reliably it ships. This is a hands-on leadership role, not a pure management role. We expect you to stay close to the code and the system, and to spend a meaningful part of your time in the codebase, in design reviews, and on production issues. At the same time you will own the team's roadmap, its delivery, and the development of the engineers on it. The technical bar for this role is the same as our Senior/Staff Software Engineer bar: deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading), and previous experience leading engineers. What you will own: Technical direction and architecture for the team's services, including trade-off decisions and their long term consequences Roadmap and delivery: breaking down ambiguous business goals into scoped, sequenced engineering work and shipping it predictably Day-to-day execution: sprint or cycle planning, unblocking engineers, keeping work in flight visible to stakeholders Code and design quality: setting the standard through reviews, design docs, and your own contributions Production ownership: reliability, latency and correctness targets for the team's systems, on-call health, and incident follow-through People: hiring, onboarding, 1:1s, feedback, performance and career growth for a small team of engineers Cross-team collaboration with product, operations, compliance, clearing and the other engineering teams Requirements: Strong, experienced software engineer at a senior or staff level who has led a team, formally or as a tech lead Demonstrated ability to grow engineers: mentoring, feedback, and raising the level of people around you Track record of delivering complex systems on schedule, including scoping, sequencing and cutting the right things Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python Low latency and high throughput optimization Experience with messaging queues and message brokers Analytical data-oriented mindset and skills Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control System design skills with object-oriented data modeling, service-oriented architectures, system abstraction Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS) Clear written and verbal communication, including with non-engineering stakeholders Comfort operating with ambiguity and limited process, as expected at an early stage startup Nice to have: Experience hiring and building out an engineering team from a small base Experience owning a production trading or brokerage system as the accountable lead Algo trading experience (either professional or personal) FIX protocol knowledge Experience with observability, tracing, continuous profiling and benchmarking Financial market (exchange, broker-dealers, clearing, etc.) knowledge Experience with financial ledgers Statistical and quantitative analysis skills Experience with major cloud platforms (we primarily use GCP) Experience with Docker and Kubernetes Experience working with distributed, remote-first teams across time zones How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin Role Summary Back in 2014, Cloudflare launched Universal SSL to provide all of our customers with the security of encrypted traffic between visitors and Cloudflare’s network. On the day we flipped the switch, we doubled the amount of sites using SSL/TLS on the internet. Since then, we’ve been working on providing even more ways to encrypt traffic easier and more effectively. To better serve our customers, we’re constantly improving our systems for issuing, managing, and deploying TLS certificates. By joining Cloudflare’s SSL/TLS Team, you can help ensure that every site owner has the ability to provide their users with a secure connection. Your code will help ensure millions of websites have access to encryption. As such, the results of your code will be felt by millions of site owners and billions of visitors every day. We’re continuously providing technology to site owners that was previously only available to the largest organizations. Your contributions will help make the web a faster, safer, better, and more heavily encrypted place. Cloudflare is looking for a Systems Engineer to help us build services with RESTful APIs and their own datastores using Go and other languages. You will also write and maintain functional specifications for your service, so others know how it works. In this role you will integrate multiple services via message queue systems and evaluate 3rd party and open source tools. You will design and implement alerts, write procedures for ops to handle such alerts, or serve as an escalation point for unresolved operational issues. You will also need to read and understand code from a legacy codebase to migrate logic to a modern services architecture and review the code of fellow engineers via pull requests.  We strive to build reliable, fault-tolerant systems that can operate at Cloudflare’s scale. Role Requirements (Must-Have Skills) 3+ years of professional experience building backend systems at a technology company Experience writing production-quality code in Go (or other languages with a willingness to learn Go) Proven experience building and operating distributed systems Proficiency with modern Unix/Linux development and runtime environments Strong debugging and troubleshooting skills with attention to detail Track record of delivering well-tested, reliable code for production environments Desirable Skills, Knowledge, and Experience Experience designing and building RESTful APIs and full-stack applications Familiarity with PKI/TLS concepts and certificate management Experience writing technical documentation and specifications Working knowledge of SQL and relational databases such as PostgreSQL Understanding of distributed systems constraints: performance, caching, data storage/retrieval Experience with message queues (Kafka, RabbitMQ, etc) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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 Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday. This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it. Key responsibilities Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers. Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training. Own the reliability, latency, and usability of systems that run continuously against live model endpoints. Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them. Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer. Identify and remove the bottlenecks between "we want this data" and "it's in the training mix". Minimum qualifications Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend. Experience designing and operating backend services and data pipelines that other teams depend on. A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use. Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building. Effective use of AI tools in your own day-to-day work. Care about the societal impacts of your work. Preferred qualifications Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling. Experience with RLHF, preference data, or other human-feedback pipelines for ML systems. Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience. Experience running experiments on data collection interfaces and using the results to improve data quality. Experience working with crowdworker or expert vendor platforms at scale. Familiarity with how LLMs are trained and evaluated. Representative projects Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format. Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators. Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code. Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically. Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix. 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: $500,000 — $850,000 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: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸 and Belgium 🇧🇪. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the team in charge of building smart products offering the most delightful and scalable Customer Service to 1M+ members. We have developed a team of AI agents that brings immediate and personalized answers to about 50% of member's questions. And when it is not enough, we seamlessly transfer the question to our care experts team. We build the cockpit for that handoff and the tooling for the humans who take over. It lets a care expert steer, correct, and supercharge the AI: routing requests, surfacing the right context at the right moment and drafting replies. The expert stays in command; the AI does the heavy lifting. ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide delightful experience to members when they need it the most. - Human + AI, done right: You won't build AI that replaces people. You'll build the control surface that lets human experts drive the AI - the tools that decide what happens when the AI alone isn't enough. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Full-stack experience (backend and frontend) What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium and Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Aarhus Office The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Staff Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers. In this role, you'll: - Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day - Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more - Own and scale a high-performance services on AWS that handle thousands of requests per second - Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices - Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualize understanding of our insights and data, both on and off the blockchains - Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration We're looking for candidates who have: - Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP - A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level - The ability to align technical execution with product and design partners, with a strong bias to ship and iterate - Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages! - A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles - Great pride from taking ownership of product ideas from inception through to production - Good understanding of both frontend and backend best practices and paradigms. - Integrated AI impactfully in customer-facing products or engineering infrastructure You might also have: - Experience with AI-friendly and driven systems - Exposure to or interest in the cryptocurrency technology ecosystem - Terraform and Kubernetes knowledge Technologies we use: - Java (Spring Boot) - Typescript (React, Angular) - Kafka (Warpstream) - K8S - Terraform - PostgreSQL AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Aarhus Office The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organisation that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimises data labelling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Software Engineer within Investigations, you'll be a driving force in a team of engineers, taking ownership of technical direction and sharing responsibility for providing the right tools and the right data to build best in class customer experiences. You'll lead the design, build and maintenance of new customer facing web-features as well as the APIs and services backing them. A key part of this role is partnering closely with product managers and designers, leveraging your deep understanding of the underlying data platform to deliver impactful, scalable solutions to our customers. In this role, you'll: - Lead the architecture, maintenance and development of serving cloud-native data ingest and aggregation processes that intake gigabytes of data per day - Drive the delivery of features across our product suite that detect activities for market manipulation, fraud, behavioural patterning, and more - Own and scale a high-performance services on AWS that handle thousands of requests per second - Lead the team's modernisation efforts towards a streaming architecture, setting technical direction and best practices - Own and drive the direction and enablement of our graphing platform, which is used across multiple products to drive and visualise understanding of our insights and data, both on and off the blockchains - Debug and resolve production issues across multiple systems and services, guiding the team through complex technical challenges - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaboration We're looking for candidates who have: - Proven experience leading the design and implementation of cloud-native services-based systems in a major cloud provider like AWS or GCP - A strong track record of mentoring engineers, leading cross-team projects, and driving design and technology decisions at a senior or lead level - The ability to align technical execution with product and design partners, with a strong bias to ship and iterate - Deep experience with object-oriented programming languages; we mostly use Java and typescript but appreciate a variety of languages! - A strong technical background with extensive experience working directly on complex backend and/or frontend systems and projects, including in leadership or lead engineer roles - Great pride from taking ownership of product ideas from inception through to production - Good understanding of both frontend and backend best practices and paradigms. - Integrated AI impactfully in customer-facing products or engineering infrastructure You might also have: - Experience with AI-friendly and driven systems - Exposure to or interest in the cryptocurrency technology ecosystem - Terraform and Kubernetes knowledge Technologies we use: - Java (Spring Boot) - Typescript (React, Angular) - Kafka (Warpstream) - K8S - Terraform - PostgreSQL AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — Развивать AI Agents, MCP, RAG и Skills — Работать с Agentic Workflows, где Frontend, Backend, QA, DevOps и аналитика выполняются параллельно несколькими AI-агентами — Работать с локальными AI-моделями — Развивать архитектуру, CI/CD и production-ready подходы — Понимать SDLC: от требований и архитектуры до deployment и поддержки — Работать с бэком на Java или Go Цель: — Сформировать Fullstack AI Loop Engineer, способного пройти полный цикл создания продукта и использовать AI как полноценную часть engineering workflow Требования: — Грейд не принципиален: Junior, Middle или Senior — Опыт в финтехе или банках не обязателен — Важнее инженерное мышление, интерес к AI и готовность постоянно учиться Условия: — Формат работы удалённый

Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities The TeamViewer Digital Employee Experience (DEX) platform finds and resolves IT issues before they affect users. Following the acquisition of 1E, we are bringing our core remote connectivity platform and the DEX platform together into one unified product experience. Our team builds the platform services that connect both worlds — covering authentication & authorization federation, user synchronization, and secure service-to-service communication between the platforms. We’re looking for a Senior Software Engineer with strong Java (Spring) and Kotlin expertise to play a key role in designing and building these platform integration services, trusted by large enterprise customers. In this role, you’ll work primarily on our core platform, owning and improving the Java-based services that connect it to the DEX platform. As part of an Agile team, you’ll contribute as an individual contributor, working primarily with Java (Spring) and Kotlin. Your work will power containerized services running on Kubernetes. As the DEX platform is built on .NET, familiarity with C# services is a welcome plus. You will be joining a young, motivated team and will play an active role in mentoring and guiding its members in best practices in software development & Secure SDLC. Develop & enhance platform services that connect our core remote connectivity platform and the DEX platform, in the areas of authentication & authorization federation, user synchronization, and cross-platform service-to-service communication Define the architecture, design and develop new features for our platform services in Java (Spring) and Kotlin Work with identity and access concepts such as token exchange, service principals, user-context authentication, and auditing across platform boundaries Continuously integrate, build and deploy our solution from test system to production Design and implement secure, well-documented APIs based on architecture guidelines and frameworks Design and build common database systems of high availability and quality Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications Ensure that our software is secure, stable, scalable and runs efficiently Monitor the latest technical developments in your field and make proposals for improvement Guide and assist other team members in engineering topics relevant for the team Coach & mentor junior members of a young and growing team, fostering a culture of quality, ownership and continuous learning Act as an advisor for product owners (feasibility studies and time estimates for new functionality to be implemented) Collaborate closely with the teams owning the DEX platform to align on interfaces, contracts and integration flows Requirements A university degree in the field of information technology, computer science and engineering or a related subject 7+ years of professional experience in the field of software development Solid knowledge of Java (Spring), Kotlin and SQL is mandatory Solid understanding of authentication & authorization concepts (e.g. OAuth2/OIDC, token exchange, service-to-service and user-context authentication) Hands on experience with cloud services (like managed Kubernetes, Redis, key vaults, message brokers, PostgreSQL etc), docker containers and CI/CD pipelines Must have hands on experience in Docker & Kubernetes ecosystem and should be able to work on them locally in docker desktop. Must have experience in any of the unit test casing framework Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations between platforms and services Solid knowledge of Secure SDLC principles, OWASP Top-10 vulnerabilities & remediation, and Threat Modeling Experience in quick feasibility studies, POC & prototyping to arrive at firm estimates Understanding of Clean Code and Design Patterns for object-orientated programming Proven ability and willingness to mentor and coach junior engineers, paired with strong communication skills A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Knowledge of .NET (C#) backend services is a plus (the DEX platform is built on .NET) Experience in any of the following is desirable: parallel programming (multi-threading), test automation, network communications, digital certificates/PKI Familiarity with AI tools for coding (like Co-pilot) is a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Software Engineer or Senior Software Engineer to join the OEX Mobile Growth team in Singapore. The team operates at the intersection of mobile engineering, consumer growth, and product development. You will work closely with Product, Business Development, and regional market teams to build and improve growth initiatives that directly influence user acquisition, activation, conversion, and retention. This role is suited to an engineer who enjoys solving user-facing problems, working with data, and contributing ideas beyond implementation. You will have the opportunity to take ownership of projects from problem definition through launch, measurement, and iteration. What You'll Be Doing Design, build, test, and maintain reliable mobile growth features and supporting systems. Contribute across the full engineering lifecycle, from understanding business and user problems to implementation, launch, monitoring, and iteration. Develop and optimise growth capabilities such as onboarding funnels, referral programmes, acquisition journeys, engagement mechanics, notifications, and experimentation frameworks. Work closely with Product Managers, Business Development, data teams, and regional stakeholders to translate growth objectives into practical engineering solutions. Instrument user journeys and analyse relevant metrics to identify friction points and improvement opportunities. Participate in technical discussions, evaluate trade-offs, and contribute proposals based on engineering principles, user impact, and data. Use AI-assisted development tools to improve productivity, code quality, testing, and problem-solving. Write clean, maintainable, and well-tested code while contributing to code reviews and engineering best practices. For senior-level hires, independently lead projects, guide technical decisions, and support the development of other engineers. What We Look For In You At least 3 years of software engineering experience, with greater depth and independent project ownership expected at the Senior Software Engineer level. Hands-on experience developing production mobile applications using iOS technologies such as Swift or Objective-C, or Android technologies such as Kotlin or Java. Strong software engineering fundamentals, including data structures, algorithms, system design, testing, debugging, and performance optimisation. Experience building consumer-facing products, with an understanding of how engineering decisions affect user experience and business outcomes. Product and data instincts: you are comfortable thinking in terms of user journeys, funnels, conversion, retention, and measurable impact. Ability to take ownership of engineering tasks and work effectively with product and business stakeholders. A proactive and solution-oriented mindset: you identify problems, form a point of view, and propose practical ways forward. Experience using AI coding tools as part of your development workflow, together with the judgment to review, test, and validate AI-generated outputs. Strong communication and collaboration skills in a fast-moving, cross-functional environment. Nice-To-Haves Mobile development experience in iOS (Swift/Objective-C) or Android (Kotlin/Java) — or backend experience building growth systems that serve mobile apps directly (e.g. growth APIs, attribution pipelines, notification infrastructure). Depth in mobile attribution and MMPs (AppsFlyer, Adjust, SKAdNetwork). ASO operational experience (App Store Connect, Google Play Console). Experience building referral systems, k-factor mechanics, or anti-fraud layers. Background in fintech, crypto, or regulated consumer financial products. Experience operating across US, EEA, and APAC markets. A/B experiment framework ownership at meaningful scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .