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Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by millions of people in the world. What project we have for you Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field. What you will do Design, develop, and maintain scalable backend services using Scala. Build reliable event-processing, notification, and integration services. Develop APIs and distributed system components in highly available environments. Deliver scalable, fault-tolerant solutions that provide business value. Contribute to system architecture, technical design, and engineering decisions. Troubleshoot complex production issues and perform root-cause analysis. Support integration, acceptance, and quality assurance testing activities. Maintain high software quality through testing, reviews, documentation, and best practices. Mentor engineers and promote technical excellence within the team. Collaborate with cross-functional stakeholders in Agile environments. Own services throughout their lifecycle, from design and development to deployment and production support. Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest). What you need for this Mandatory 5+ years of experience with Scala designing, developing, deploying, and maintaining backend services and distributed systems in production. 10+ years of software engineering experience (preferrably Java) 5+ years of experience building distributed systems using Akka (Streams, Actors, HTTP, Persistence) or Apache Pekko . 5+ years of experience with AWS Strong experience designing and operating event-driven distributed systems using technologies such as Kafka , AWS Kinesis , or equivalent messaging platforms . Strong experience with functional programming concepts and libraries such as Cats , Cats Effect, or ZIO. Hands-on experience with Docker . Strong experience with PostgreSQL and SQL query development. Experience with CI/CD tools and automated deployment pipelines (preferably GitHub Actions ) Experience designing and operating event-driven architectures and stream-processing systems. Experience with microservice architectures. Experience working within Agile software development environments. Strong understanding of software architecture and solution design. Strong ownership mindset with the ability to independently drive complex technical initiatives. Nice to have: Experience with Java 17+/21. Experience with Spring Boot. Experience with Hibernate/JPA. Experience with DynamoDB. Experience with CloudFormation. Experience with Flyway. Experience with Snowflake, BigQuery, or Databricks. Experience processing telemetry or event data at scale. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Scala

Location: Philippines On behalf of FinTech Client #8 , SD Solutions is looking for a talented Customer Support Engineer to provide exemplary support to our clients and partners, ensuring prompt, correct, and personalized assistance. This remote role will involve engaging in both VIP and Standard Support, troubleshooting issues, and collaborating with internal departments such as Compliance to address inquiries. You will work in a fast-paced, client-focused environment, where your main objective will be to resolve tickets promptly and accurately while upholding our high standards of customer care. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Provide B2B Support to our clients, who use our services to make payments to their employees, partners, and affiliates. Provide B2C Support Payees receiving funds through our platform, guiding them through withdrawal methods and general inquiries. Collaborate with Partners to gather information needed to resolve issues. Deliver Basic Technical Assistance : Explain basic troubleshooting steps to clients. Communicate relevant technical issues to supervisors or tech support as required. Ticket Management : Review and prioritize all unassigned tickets immediately. Revisit open tickets awaiting responses from clients or other departments. Requirements: Experience in Customer Support : Proven experience in a customer support role, ideally in a SaaS or tech environment. Interpersonal Skills : Demonstrated ability to reassure clients, communicate clearly, and personalize interactions. Problem-Solving Ability : Aptitude for understanding complex issues and delivering comprehensive solutions. Time Management : Capable of prioritizing and responding to support tickets promptly, meeting the goal of a near-instant first response time. Advantages: Understanding of the finance world Language Skills : Additional language proficiency is a plus. Schedule: Thursday–Monday (off Tuesday and Wednesday) About the company: A SaaS-based global payout orchestration platform enabling businesses to send mass payouts — B2C and B2B — to over 175 countries in more than 70 currencies. Accessible via a single REST API with a unified KYB process, backed by a network of global financial partners. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Part of that footprint is the radio spectrum around and inside each site: what transmits there, what listens there, and what the equipment itself gives off. You'll be the engineer who owns that domain end to end: on-site RF monitoring and detection, technical surveillance countermeasures (TSCM) and emanations security, from the threat basis through the systems that make the spectrum observable, to sign-off before a site opens. The engineering is in the monitoring and in the tooling that proves the controls hold: the sensors, receivers and their placement, the site baselines, and the detection logic that turns a rogue transmitter or an unexpected emitter into an alert an analyst trusts. External specialist partners do the hands-on sweep and measurement work; you write the scope, direct them on site and decide whether their report stands. The goal is security that runs itself: coverage, sensor health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations, construction and legal teams, and directly with site operators and landlords. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities On-site RF monitoring and detection: design and develop the monitoring at each site: sensor, receiver and antenna selection and placement, the spectrum monitoring architecture, site RF baselines and what keeps them current, and detections that reach the team's security monitoring platform as alerts analysts keep trusting Tools, automation and AI agents: build the detection and classification tooling, the instruments and software for checks between sweeps, the findings and evidence records behind them, and the agents that triage alerts and watch sensor health. When a review keeps costing people time, you build the tool or agent that retires it Technical surveillance countermeasures: own TSCM end to end: sweep cadence by space sensitivity, event-driven triggers such as fit-out, room turnover or an incident, scope and acceptance criteria per sweep, and findings handled with evidence and closure an assessor accepts Emanations security: set the posture for sites: the assessment method, zoning and separation, and shielding, filtering and protected cabling where warranted, written into the team's design and build standards so a site can build to them and an assessor can verify them Wireless and device policy by zone: detect which radios are actually present where (cellular, Wi-Fi, Bluetooth, IoT, trunked radio) and produce the evidence that the policy holds on the floor Specialist partners: write the scope and the deliverable standard for sweep and assessment work, direct it on site, and decide in the acceptance review whether a report stands New sites and leases: carry RF and emanations requirements into design reviews, lease terms and pre-opening reviews, and sign off RF and emanations, including the pre-opening sweep and assessment, before a site opens Minimum qualifications Have built at least one RF monitoring or detection system end to end, from receiver and antenna choice through the software that turns captures into alerts Understand RF at the engineering level: propagation, modulation, spectrum analysis and antenna behavior, with hands-on use of the instruments that measure them, such as spectrum analyzers and software-defined radios Have planned and conducted TSCM sweeps yourself and can explain, from having done the work, what a sweep can and cannot find and how an adversary would get past it Have done RF security, TSCM or emanations work hands-on for data centers, critical infrastructure or a large hardware fleet Read and review code, design the data systems behind detection and monitoring tooling, and build automation (often with AI coding agents) using Git and code review Understand compromising emanations and what zoning, shielding and filtering each buy and cost, and write requirements for them that a construction team or a landlord can build to and an assessor can test Direct a specialist vendor without deferring to them: write the scope, check the work, reject a weak report Preferred qualifications Experience assessing compromising emanations and shielding or filtering tradeoffs in a live facility, and applying a formal emanations or counter-surveillance standard, government or commercial (TEMPEST, ICD 705 style construction requirements, or a corporate equivalent) Have built signal classification or spectrum analysis pipelines at scale, or tuned RF detections for a security operations workflow so operators kept trusting them Familiarity with airspace or drone RF detection, and with where it stops and on-site monitoring starts Experience at sites you did not fully control: colocation or multi-tenant facilities, where the RF environment and the walls are not yours alone Have built AI agents or automation that replaced recurring manual security work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As AI agents redefine software development, Docker is at the center of that shift, providing the local and cloud sandboxed environments that make interactive and autonomous agentic workflows trustworthy by default. At the heart of our trust model is the fact that user credentials and other sensitive secrets are injected at the sandbox layer and never exposed to an agent. An agent can never leak secrets it never sees. The Secrets team builds the software that makes that possible, from easy-to-use SDKs to secure cloud services to high-performance network proxies. We operate at the intersection of the developer experience, enterprise governance, and security – delivering core security features that make Docker sandboxes the best way to run agents and other workloads safely. As a Staff Software Engineer on the Secrets team, you’ll design and build core security systems that power Docker’s agentic platform and AI governance products. Your work will focus on creating scalable, reliable, and secure software that enables developers to safely run agentic workloads while allowing administrators to confidently manage their organization’s security posture. The successful candidate is a technical, product-minded engineer with deep experience building secure software and scale-out cloud services and a track record of shipping critical infrastructure. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas. If you thrive on solving security and usability challenges, are enthusiastic about agentic development but conscious of the risks it entails, and want to help shape the future of Docker’s platform, we’d love to hear from you. Please note: this role is currently prioritizing candidates currently located in the Western time zone (US or Canada). _______________________________________________________________________ RESPONSIBILITIES - Design, develop, and lead improvements to the secrets management and credential injection systems. - Investigate and resolve security, correctness, performance, and stability issues across cloud, macOS, Windows, and Linux. - Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow. - Mentor engineers on the team and set the bar in design reviews and code reviews. - Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. - Participate in on-call rotations and respond to critical stability issues affecting users. - Document your work clearly and share knowledge with the rest of the team. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers. - Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment. - Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users. - Experience driving architecture and technical strategy across multiple engineers or teams. - Strong written and verbal communication skills. - Comfortable working with a high degree of autonomy in a remote-first environment. PREFERRED - Strong proficiency in Go, Rust, and/or Java - Experience with cryptographic key management systems and techniques (key wrapping, HSMs, cloud KMSes, etc.) - Familiarity with best practices for protecting credentials and secret material at-rest and in transit - Understanding of networking, TLS, HTTP, and the like. - Understanding of one or more OS-specific credential management capabilities. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; United States; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s Core Infrastructure Engineering team builds and operates the shared data systems behind critical production services. Our estate spans on-premises and cloud infrastructure, with MariaDB at its centre and Kafka, Redis and Elasticsearch across the wider platform. We’re hiring a Principal Database Engineer to bring long-term experience and technical judgment to this estate. You’ll assess it, set the goals and direction, and work hands-on with the team to deliver measurable improvements. This is an individual contributor role with influence across teams and several quarters of work.   THE OPPORTUNITY - Review the estate against business needs and production evidence. Judge reliability, scale, cost and operational complexity, identifying what should be preserved and where investment or simplification would make a difference. - Define the target architecture and measurable goals. Agree a prioritised roadmap with engineering leads and dependent teams, explaining the trade-offs and sequencing work around delivery risks. - Execute that roadmap with the team through design, implementation and adoption. Stay personally involved in difficult migrations and scaling decisions, with representative benchmarks, data-integrity checks and credible cutover and rollback plans. Adapt the plan as evidence changes and verify the results in production before calling the work complete. - Investigate difficult MariaDB failures and performance limits through the engine, storage and application behaviour. Improve fleet reliability through useful observability, safer changes and tested backup, restore and disaster recovery procedures. Set recovery objectives with service owners and prove them through exercises. - Build and maintain production software for database provisioning, upgrades and routine maintenance. Make self-service workflows safe and auditable, incorporating access controls and change evidence with Security and Compliance. - Work with application teams on schemas, transaction boundaries, queries and data-store choices. Make the operational consequences clear and resolve dependencies that span teams. - Mentor engineers across the team through design reviews, pairing and incident analysis. Help them deepen their database expertise and take ownership of technical decisions. - Participate in on-call and incident response, leaving clear operational ownership and following through on lessons from production.   WHAT YOU BRING - 8+ years operating and evolving production database estates at scale. You have assessed inherited systems, set technical direction and delivered improvements with engineering teams, and can explain how those decisions held up over time. - Strong understanding of high availability, replication and distributed database failure modes. You can explain consistency and availability trade-offs and reason about transaction boundaries and reliable event delivery, including transactional outbox patterns. - Deep, recent hands-on MariaDB expertise, including InnoDB, MVCC and transaction isolation, locking, query optimisation, binary logs and MariaDB GTID replication. You can explain the mechanisms and diagnostic evidence behind your decisions. - Personal ownership of MariaDB incident diagnosis, performance tuning and tested restore or point-in-time recovery. You can explain what you did, how you established data integrity and what remained uncertain. - Strong software engineering skills in Python, Go, Rust or a comparable language. You have personally built and maintained production software or automation for database workflows such as provisioning, failover, online schema changes and self-service operations, using version control, code review and delivery pipelines, with tested failure handling. - Strong low-level Linux, Kernel, storage and networking fundamentals, with the ability to investigate problems beyond the database process. - Clear written technical judgment and demonstrated delivery across teams without reporting-line authority. You help stakeholders make sound database design and lifecycle decisions, and develop experienced engineers through shared delivery.   NICE TO HAVES - Experience operating databases in containerised, hybrid on-premises/cloud or multi-region environments. Familiarity with Kubernetes, infrastructure as code or GitOps, including their operational trade-offs. - Experience with database proxies or load-balancing layers (MaxScale, HAProxy, ProxySQL, or similar). - Experience with PostgreSQL, Vitess, TiDB, ScyllaDB, ClickHouse or internal database platforms; operational knowledge of Kafka, Redis/Valkey or Elasticsearch/OpenSearch. - Experience in regulated environments or contributions to database engines, operators and other infrastructure software. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

SpaceXSI is looking for a Senior Mobile Android Engineer to build high-performance Android experiences and improve product quality.

SpaceXSI is looking for a Senior Mobile iOS Engineer to build high-performance iOS experiences and continuously improve the app.

is looking for a Senior or Staff Forward Deployed Engineer to build secure mobile digital identity applications and SDKs.

is looking for a Staff Forward Deployed Software Engineer to lead customer-facing digital identity engineering projects and deliver secure software solutions.

Location: São Paulo or Fortaleza, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. Job Overview Exadel is seeking a Senior Software Engineer (Java, Murex) with strong Murex expertise to join a leading Capital Markets initiative. This role requires deep technical knowledge of Java development, hands-on experience with Murex, and a strong understanding of financial products and trading systems. The successful candidate will work closely with business stakeholders, architects, and engineering teams to design, develop, and support scalable solutions within a complex financial environment. Location: Fortaleza or São Paulo, Brazil About the Client Our customer is a leading global financial institution with a strong presence across Capital Markets and Financial Services. The organization operates in a highly technology-driven environment where reliable, resilient, and high-performing trading systems are critical to business operations. The technology teams work closely with front-office trading desks, developers, quants, and business stakeholders to support sophisticated financial applications and ensure seamless technology operations across global markets. What You’ll Do Design, develop, and maintain enterprise-grade Java applications supporting Capital Markets platforms and business functions Customize and configure Murex components, including workflows, datamarts, interfaces, reporting solutions, and integrations Develop and support real-time and batch integrations between Murex and upstream/downstream systems Analyze business requirements and translate them into scalable, maintainable technical solutions Collaborate with business users, analysts, architects, and technology teams to deliver high-quality solutions Optimize application and database performance through effective design and tuning strategies Participate in Agile ceremonies, code reviews, automated testing, and CI/CD processes Leverage AI-assisted development tools to improve productivity, code quality, testing, and documentation Identify opportunities to automate development and operational processes through AI-enabled solutions Contribute to technical discussions and best practices related to architecture, integration, and system scalability What You Bring Strong hands-on experience in Java development, including object-oriented design, multithreading, collections, performance optimization, and enterprise application development Extensive experience working with Murex across one or more functional areas, including Front Office, Market Risk, Credit Risk, Back Office, Collateral Management, Regulatory Reporting, or Integration Experience with Murex customization and configuration, including workflows, datamarts, interfaces, reporting, and integration development Strong understanding of Capital Markets products including FX, Fixed Income, Equities, Commodities, Derivatives, and structured products Experience designing and developing real-time and batch integrations between Murex and external systems Proficiency with SQL and database technologies such as Oracle, SQL Server, and PostgreSQL Experience tuning and optimizing complex database queries Experience with Git, CI/CD pipelines, automated testing, code reviews, and Agile delivery methodologies Ability to analyze complex business requirements and translate them into scalable technical solutions Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Cursor, or similar platforms Ability to identify and implement opportunities for AI-driven automation across software development, testing, code quality, and operational processes Strong communication and stakeholder management skills with the ability to collaborate effectively across business and technology teams Nice to have Experience with cloud technologies and cloud-native application development Familiarity with APIs and microservices architectures Experience with containerization technologies such as Docker and Kubernetes Exposure to large-scale financial systems and enterprise integration environments English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Amsterdam Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE As the Sales Engineering Manager for Northern Europe, you will lead a team of sales engineers from our hub in Amsterdam, working with our customers across DACH and Benelux. You'll help build and shape the team, grow the people in it and make sure our customers get the technical partnership they need to build and run great agents in production. This is an opportunity to have outsized impact at a company shaping the future of AI-powered software. DEs work alongside our sales team to help our prospects and customers build reliable, scalable agents for their business using our suite of products: LangChain, LangGraph, Deep Agents and LangSmith. The team focuses on pre-sales efforts, but stays on accounts to not only close new business but also to make our customers wildly successful. Your first job is your people. You will support great sales engineers, ramp them quickly, coach them through live customer work and build a team where they do the best work of their careers. You'll stay close enough to the technology and to our customers to be credible with both: unblocking your team on hard engagements and stepping in on the region's most important opportunities. You will report to the Director of Deployed Engineering, EMEA and partner closely with LangChain's sales leaders covering DACH and Benelux, with shared ownership of regional outcomes. This role is mostly people leadership, with real customer engagement and revenue accountability alongside it. As part of the EMEA deployed engineering leadership team, you'll also bring what you learn back into the playbooks, processes and standards we use globally. WHAT YOU'LL DO: - Grow the DACH/Benelux DE team: support recruiting, interviewing and closing candidates as the team grows and raise the bar with every hire. - Onboard and ramp new DEs quickly, with a clear definition of what "ramped" looks like and the support to get each person there. - Coach your team through live customer work: join calls, review architectures and proofs of value to provide direct, specific feedback that makes people better. - Own performance management: set clear expectations, recognise great work and address underperformance early and fairly. - Run the team's operating rhythm: account coverage, capacity and load balancing, deal and engagement reviews and the regional cadence with sales. - Partner with sales leadership in DACH and the Benelux on account strategy, coverage and technical win plans, with shared accountability for revenue outcomes and customer success. - Bring regional insight to the global DE team: what's working with customers in the region, product feedback and contributions to shared playbooks. - Develop future leaders, growing the senior DEs who will lead the next teams in the region. HOW TO BE SUCCESSFUL IN THE ROLE: - 7+ years of experience in sales engineering, solutions architecture, engineering, or similar customer-facing technical roles at a dev tools, AI, or infrastructure company. - 2+ years managing customer-facing engineers, including hiring, coaching and performance management. - A track record of developing people: engineers you hired and grew who went on to bigger scope or roles. - Technical credibility with your team and your customers: you're not a stranger to Python, and are well-versed in software engineering, platform engineering and solutions architecture. Hands-on experience building with LLMs or agents is a strong plus. - Experience working with or selling to developers and engineering-led buyers and an understanding of how enterprises in the region evaluate and buy (procurement, data protection, hosting and sovereignty requirements). - Exceptional communication and technical storytelling skills, with the ability to simplify complex concepts for customers and coach others to do the same. - A bias for action, comfort with ambiguity and a consistently high bar for excellence. - Fluent English; German strongly preferred. - Must be available to work in Amsterdam, with regular travel across the region. COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote Job Title: Marketing Automation Engineer (Braze) Build the infrastructure powering the future of restaurant payments At inKind, we’re building a new way to drive customers to restaurants. We power the relationship between millions of users and thousands of restaurants. We are looking for a Marketing Automation Engineer at inKind who can optimize the consumer relationship with a mix of marketing best-practices, strong understanding of data flow, and the ability to translate it to genuine personalization while technically executing on them at scale. You’ll collaborate closely with business and marketing teams to build systems that directly impact the restaurants and users who rely on inKind. As a Marketing Automation Engineer at inKind, you will be responsible for implementing marketing campaigns. You will receive creative briefs and project plans, and be responsible for drafting technical implementation docs and building them. Much of this building will be done dashboard-side in Braze Canvases. Optimizing platform usage, data-based triggering, and understanding user journeys are all key aspects of this role. Our team has a builder-first mindset, leveraging modern Consumer Engagement Platform (CEP) tools such as Braze and data warehouses like Snowflake, to power rich datasets of user information to use for personalization and customer lifecycle management. We are looking for  someone who can turn that data into dynamic, well-timed, high-relevance communication across email, SMS, and push — at scale. This role would have the opportunity to create genuine personalization engines using best-in-class tooling and data models. What You’ll Work On Platform Execution Architect and build complex journey flows - multi-branch, behavior-triggered, time-delayed - that respond dynamically to what users do in the app Create sophisticated email, SMS, and push templates using dynamic templating (in Liquid): conditional content blocks, personalized variables, abort conditions, and live data pulls Manage subscription and compliance workflows for SMS opt-in/opt-out, email unsubscribe, and push permission states and follow TCR regulations QA (Verify) every campaign before launch and own responsibility post-launch: audience spot-checks, template rendering validation, link tracking, SMS encoding, and cross-client email rendering Translate high-level marketing briefs into well-defined audience definitions, validating logic against actual user data before launch Understand CEP best practices to inform cadence of messaging, frequency capping, and prioritizing of marketing communications across lifecycle and ad-hoc campaigns Technical Rigor Write, understand, and document Liquid code to build dynamic content blocks Query our data warehouse (Snowflake) using SQL or review API payloads to validate that events and attributes match expected values, QA before launch, as well as triage potential issues. Use platform-native diagnostic tools (message logs, user lookup, event streams) to diagnose issues without needing an engineer to triage alongside you Understand technical limitations of campaigns and recommend well-scoped solutions Segmentation & Personalization Build precise, multi-condition audience segments using a full range of segmentation capabilities Maintain a clean, documented segment library — consolidating redundant definitions and flagging when underlying data changes affect targeting Partner with the cross-functional teams to define and action on lifecycle stages (active, lapsing, high-value, etc.) and build reusable and trackable segments that reflect those definitions reliably Build and maintain a reusable component library: shared content blocks, brand-compliant modules, and snippet logic the team can use without rebuilding from scratch Minimum Qualifications 4+ years of experience with a major CEP/CRM or marketing automation platform (Braze, Shopify, Iterable, Klaviyo, or equivalent) 2+ years of experience with Braze Deep expertise in journey/canvas building — multi-step, behavior-triggered flows with branching logic, delays, and channel mixing Dynamic templating skills: conditional blocks, variable logic, and live data integrations Experience with audience segmentation using behavioral data, custom attributes, and event properties Solid understanding of contact data models — user profiles, identified vs. anonymous users, subscription and consent management Ability to read API responses and event payloads to self-diagnose data issues without engineering support Liquid code proficiency Deep understanding of email deliverability fundamentals: list hygiene, bounce handling, unsubscribe management, and sender reputation Understanding of email domains/behavior and record management SMS compliance knowledge: opt-in/opt-out mechanics, quiet hours, carrier filtering, and message encoding Familiarity with TCR rules and regulations Preferred Qualifications SQL proficiency and experience working with a cloud data warehouse (Snowflake, Redshift, or BigQuery) for CRM analytics or audience building Background in consumer apps, marketplaces, or loyalty/rewards programs where lifecycle marketing directly drives repeat behavior Familiarity with how CRM data flows from a backend application via REST API or event streaming Experience with in-app messaging, content cards, or push notification strategy beyond transactional sends Some of Our Benefits Generous PTO and company holiday policy + company-paid Short Term Disability 100% employer-covered health and dental insurance; higher-tier and dependent coverage options available Vision plan available at employee cost Child care benefits and generous parental leave Dog-friendly Austin office with great views of downtown Daily lunches and snacks for in-office team members Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

•Analyze product requirements based upon customers’ needs and engineering standpoint; •Communicate with development and management teams to help them develop features and find potential weaknesses;

Location: Tokyo Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineer - Product Specialist joins the LEPS team as the face of Harvey in Japan, building trust with partners, counsel, and legal teams across the Japanese legal market. This role sits within Harvey’s post-sales organization and partners closely with Customer Success Managers and Account Executives to drive adoption, deepen utilization, and support long-term expansion and renewal. The Legal Product Specialist draws on Japanese legal training and practice experience to develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel, advising them on how Harvey’s AI solutions can enhance legal effectiveness and efficiency. They translate legal practice needs into actionable feedback for Product and Engineering while feeding Japanese market insights back to the broader GTM organization. As part of Harvey’s founding team in Japan, this is a rare opportunity to pioneer Harvey’s presence in the market and shape how a category-defining legal AI platform is adopted across one of Asia’s most sophisticated legal systems. WHAT YOU’LL DO - Build trusted relationships with law firm and in-house legal teams in Japan by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey’s AI into their daily practice. - Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey’s platform for Japanese-speaking legal professionals. - Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement. - Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them. - Translate legal practice needs into actionable feedback for the Product and Engineering teams, helping to shape product development through the lens of Japanese legal practice. - Contribute to customer-facing content geared toward the Japanese market (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas. - Help establish Harvey’s local presence and ways of working in Japan, working closely with the regional and global teams as the market grows. WHAT YOU HAVE - Based in Tokyo and eligible to work in Japan. - Qualified Japanese lawyer (弁護士) registered with the Japan Federation of Bar Associations (日本弁護士連合会). - At least 3 years of experience as a qualified lawyer at a top-tier Japanese law firm and/or in-house, with strong exposure to complex legal workflows and client expectations. - Fluency in Japanese and English, with the ability to operate seamlessly across both languages in professional settings. - Executive engagement skills and presence, with the ability to establish strong relationships with key decision-makers and build credibility at all levels. - Outstanding presentation skills for both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and the challenges faced by legal professionals, with curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Europe; France; United Kingdom; Spain; The Netherlands Workplace: Remote ClickHouse is an open-source company building the fastest and most resource-efficient real-time data platform. Our documentation is a core part of how users learn, adopt, and succeed with ClickHouse. Our Docs team is deeply technical, independently able to use our products, read source code, test behavior, and write accurate, high-quality documentation from scratch. The team also enables contributions from across the organization and open-source community, ensuring the documentation remains consistent, discoverable, and trustworthy. Beyond the content, the Docs team owns the documentation infrastructure as a critical, production-facing service. Its availability, performance, and reliability directly affect our users' ability to work with ClickHouse. The team is responsible for building, operating, and continuously improving this experience. We're looking for a Documentation Engineering Manager to lead this work. This is a hands-on player-coach role for someone who can lead a small, highly technical team while contributing directly to both technical documentation and the engineering of the documentation website and its supporting infrastructure. WHAT YOU’LL DO - Lead the execution, development, and prioritization of the Docs Engineering team while remaining hands-on in both technical writing and engineering. - Own the reliability, availability, performance, and technical evolution of the ClickHouse documentation website, treating it as a critical part of the product experience. - Research, develop, and write technical documentation directly, including independently understanding product functionality through source code, experimentation, testing, and collaboration with Engineering and Product, rather than relying on others to provide initial drafts. - Define and execute documentation strategy in partnership with Engineering, Product, Product Marketing, Learning, Support, Growth, and the open-source community. - Improve docs-as-code contribution workflows so that engineers, product managers, the Docs team, and external contributors can create and maintain excellent documentation efficiently. - Review documentation pull requests, triage issues, unblock contributors, and directly author or substantially improve high-impact content. - Build and maintain the documentation site's infrastructure, publishing systems, automation, CI workflows, monitoring, and quality checks. - Establish organization-wide workflows, safeguards, and quality standards for documentation generated or maintained with AI agents. - Work directly with teams across ClickHouse to understand their needs, translate them into practical documentation processes, coach authors, and resolve competing priorities. - Ensure documentation remains accurate, comprehensive, discoverable, and aligned with the pace of product development. - Make documentation a driver of product adoption and growth, helping users discover ClickHouse, get started quickly, and convert into active users through an intuitive, frictionless documentation experience. WHAT WE’RE LOOKING FOR - Prior experience managing and developing a technical team. - A hands-on leader who is comfortable moving between people management, technical writing, software engineering, process design, and day-to-day execution. - Strong technical writing skills and experience independently producing documentation for complex software products, including the ability to investigate functionality, read and understand source code, validate product behavior, and translate findings into clear, accurate documentation for developers. - Experience building, maintaining, and operating production websites, with a strong understanding of reliability, availability, performance, monitoring, and operational best practices. - Strong experience with documentation-as-code workflows and modern software-development practices. - Comfort working with Astro, TypeScript/JavaScript, GitHub Actions, pull-request workflows, and CI pipelines. - Experience designing or operating content quality systems, automation, and contributor workflows at scale. - Experience working productively with coding agents and a thoughtful point of view on applying AI to documentation without sacrificing accuracy, consistency, or trust. - Excellent cross-functional communication skills and the ability to draw out requirements, influence technical and product partners, set clear standards, and make progress in ambiguous situations. - Comfort operating in a fast-paced, high-expectation environment. NICE TO HAVE - Experience with ClickHouse or similar database technologies. - Experience contributing to or maintaining an open-source project. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

We are seeking a highly skilled CRM Software Engineer to support the development, customization, automation, and integration of enterprise CRM platforms, with a primary focus on Zoho CRM and the Zoho One ecosystem. Configure and customize Zoho CRM modules, layouts, forms, fields, profiles, roles, and permissions.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. As one of our principal privacy engineers, you will be among Anthropic's most senior individual contributors on privacy. You will set technical strategy for how personal data is handled across products, research, and infrastructure, and execute the hardest parts of delivering it. You'll work at the intersection of privacy engineering, distributed systems, and AI safety, on problems without established answers. You will lead through influence, quality of thinking, and trust rather than formal authority. Key responsibilities Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams. Be comfortable building the most difficult pieces yourself Architect the primitives that make privacy the default and the safe path the fastest one: data discovery, classification, lineage, purpose-based access control, audit, retention, deletion, and export Turn regulatory, contractual, and consent obligations (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into enforced, continuously verified technical controls in partnership with Legal, Policy, and Compliance team Anticipate where AI capabilities, regulation, and customer expectations are heading, and position our systems ahead of them Mentor and develop staff and senior staff engineers, raise the bar for privacy design across engineering, and help hire senior privacy talent Represent Anthropic's privacy engineering to customers, regulators, standards bodies, and the research community Minimum qualifications A track record of operating as a Principal engineer or equivalent: setting technical direction that multiple teams adopted, and delivering company-critical, multi-year initiatives Deep experience applying privacy engineering principles in production systems with a large user base, including privacy by design, data minimization, and purpose limitation Experience architecting data governance infrastructure (classification, lineage, access control, retention, or deletion) across distributed systems and cloud infrastructure at scale Proficiency in Python, Go, or similar languages; you are effective writing design docs, making architectural calls, and coding in critical paths Understanding of privacy regulations such as GDPR and CCPA, and the ability to work as a peer with legal and policy experts to turn requirements into technical designs Written and verbal communication that builds alignment across engineering, research, legal, and product teams, up to senior leadership Preferred qualifications Experience building privacy infrastructure or controls for machine learning or AI systems, including training data governance or AI agents Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience establishing or re-architecting a privacy engineering practice under enterprise-customer or regulatory scrutiny Experience briefing executives, auditors, regulators, or enterprise customers on privacy risk, and defending your recommendations under challenge A history of growing engineers into Staff-level and more senior roles Contributions to open-source privacy tooling, privacy research, or industry standards 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: $485,000 — $625,000 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.

Обеспечивать стабильный и предсказуемый релизный процесс на всех этапах жизненного цикла разработки — от проектирования и обсуждения до поддержки и эксплуатации; Сопровождать и развивать CI/CD-процессы команды разработки, включая сложные многостадийные пайплайны и интеграции с внешними системами и сервисами;