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Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Site Reliability Engineer III (DBA) in LATAM to join our team! About the Role We are seeking a Site Reliability Engineer III with a Database Administration focus to help ensure the stability, scalability, and reliability of our production database systems, primarily Vitess (distributed MySQL) and Cassandra, alongside the rest of our production services and infrastructure. This database specialization is layered on top of the full SRE III scope on the team. You will carry the same on-call, incident response, and service ownership expectations as other SRE IIIs, with database systems serving as your area of deepest technical ownership. Because our SRE Database Engineering function is new, this role will also help establish its operational foundation by designing database architecture and developing the runbooks, escalation guidance, procedures, and training materials that our Level 1 and Level 2 SRE Database Engineers will use as they onboard. The ideal candidate will have strong experience with production database systems, Linux, automation, distributed systems, Kubernetes, observability, and incident response, with a proactive approach to reliability and operational excellence. What You'll Do: Database Architecture & Administration: Design, deploy, and own highly available database architecture for Vitess (distributed MySQL) and Cassandra. Establish and document operational procedures, runbooks, and escalation guidance for Level 1 and Level 2 SRE Database Engineers. Optimize database performance through query tuning, indexing strategies, schema design, and capacity planning. Own database backup, recovery, replication, and disaster recovery strategies. Perform and validate disaster recovery testing and database recovery procedures. Drive database security, access control, patching, hardening, and compliance practices. Serve as an escalation point for complex database production incidents. Partner with the DBA and Data Infrastructure teams on resharding, capacity planning, replication, and architecture decisions for sharded MySQL environments. Service Reliability & Operations: Support the availability and durability of critical services across production environments. Monitor service health using SLIs, SLOs, error budgets, monitoring, logging, and alerting platforms. Partner with service owners to define and improve SLIs, SLOs, error budget policies, and alerting. Participate in on-call rotations, incident response, root cause analysis, and post-incident reviews. Serve as an escalation point for complex production database and infrastructure incidents. Follow established ITIL/OSS processes including incident, change, problem, and capacity management. Take ownership of operational issues and drive projects from problem discovery through resolution. Automation & Tooling: Develop automation for common operational and database administration tasks to reduce manual intervention and operational toil. Contribute to monitoring, logging, and alerting frameworks including Prometheus, Grafana, Catchpoint, and ELK. Help integrate operational runbooks and incident response workflows with FireHydrant. Work with CI/CD pipelines, configuration management, and infrastructure as code tools including Terraform, Ansible, and Jenkins. Develop scripts using Bash, Python, Go, or similar technologies to improve reliability and operational efficiency. Operate and troubleshoot containerized production environments using Kubernetes and Docker. Work within Kubernetes and Vitess environments using technologies such as kubectl, mysqlsh, and Vitess keyspaces. Work with HashiCorp technologies including Terraform, Vault, and Nomad. Project Management & Collaboration: Lead Production Readiness Reviews (PRRs) for functionality being handed off from engineering partner teams. Support the operational readiness of new database-backed services before they enter production. Build training plans, onboarding materials, and technical documentation for new Level 1 and Level 2 SRE Database Engineers. Partner with Engineering, Product, Operations, and DBA/Data Infrastructure teams on reliability initiatives. Assist with capacity planning, disaster recovery exercises, database migrations, and infrastructure projects. Work with vendors and service providers to troubleshoot service issues and track SLA performance. Identify opportunities for automation and process efficiency. Share technical knowledge and help grow a reliability-minded engineering culture. Incident Response: Respond to and resolve production database, infrastructure, and service incidents. Troubleshoot and escalate database, Linux, networking, application, and infrastructure issues as needed. Participate in the on-call rotation and serve as an escalation point for database-related incidents. Lead or contribute to root cause analysis and post-incident reviews. Identify recurring issues and develop long-term corrective actions to improve reliability. Design action plans to address recurring operational and database problems. What We Value: A proactive mindset with a can-do attitude. Someone who can work independently, take ownership, and drive complex technical problems through resolution. Someone who steps up, supports teammates, mentors others, and shares knowledge freely. Strong problem-solving skills and a willingness to learn new technologies. Curiosity, reliability, and a desire to improve the reliability and scalability of production systems. Required Qualifications: 6–8 years of experience in site reliability engineering, systems engineering, infrastructure operations, database engineering, or similar roles, with meaningful experience supporting production database systems. Deep hands-on experience with MySQL and distributed or sharded database systems. Experience with Vitess in a production environment strongly preferred. Experience administering and supporting NoSQL databases such as Cassandra. Experience designing high-availability database architecture, replication topology, backup strategies, and disaster recovery processes. Strong SQL skills, including query performance analysis, indexing, schema design, and troubleshooting. Solid Linux systems administration and troubleshooting skills. Experience with security-focused operations including patching, system hardening, access controls, and vulnerability remediation. Strong understanding of service reliability concepts including monitoring, alerting, incident response, root cause analysis, SLIs, SLOs, and error budgets. Experience working with containers and orchestration platforms including Kubernetes and Docker. Comfortable operating in Kubernetes and Vitess environments using tools such as kubectl, mysqlsh, and Vitess keyspaces. Experience with infrastructure and configuration management technologies including Terraform, Ansible, Jenkins, and HashiCorp products such as Vault and Nomad. Proficiency in at least one scripting language such as Python, Bash, or Go. Experience establishing operational procedures, runbooks, documentation, and escalation processes. Experience mentoring, training, or helping onboard engineers into complex technical environments. Experience supporting large-scale, production-grade systems. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Qualifications: Direct production experience with Vitess. Experience with large-scale distributed or sharded MySQL environments. Experience with Cassandra or similar distributed NoSQL databases at scale. Experience in SaaS, cloud services, service provider, or large-scale distributed systems environments. Experience with AWS, GCP, Azure, or similar cloud platforms. Familiarity with ITIL/OSS practices and SLA/SLO management. Experience leading Production Readiness Reviews. Experience developing onboarding or technical training materials for engineers. Experience acting as a technical escalation point for database or infrastructure incidents. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: At Tenable, we are looking for curious minds dedicated to user success. If you are passionate about providing world-class support, eager to integrate AI into your daily workflow, and ready to take ownership of endpoint security, this is the role for you. We are looking for a security-conscious IT Support Engineer with 3+ years of experience providing high-touch technical support for global, high-growth organizations. Expert in managing Windows and macOS environments via JAMF and BigFix, with a strong focus on endpoint security and vulnerability remediation. Proficient in using AI tools like Google Gemini and Claude to streamline documentation and accelerate technical troubleshooting. Dedicated to ensuring minimal downtime through proactive infrastructure support and white-glove executive service. Your Opportunity: Technical Troubleshooting : Diagnose and resolve complex issues related to Windows and macOS, mobile devices, and core business applications. Executive & Global Support: Provided high-touch technical assistance to C-suite executives and remote global staff, maintaining minimal downtime for critical business operations. AI-Assisted Efficiency: Utilized AI tools to accelerate the creation of technical documentation and internal "How-To" guides. Endpoint Security : Ensure all staff devices are patched, compliant, and secure at all times, often addressing vulnerability tickets directly. User Onboarding : Provision hardware and access to Tenable’s services and Applications for new hires. Conduct IT orientation training both in person and remotely ensuring new hires are fully provisioned and trained on Day 1 Infrastructure Support : Maintain and troubleshoot local office networks, Wi-Fi, and conferencing technologies (e.g., Zoom, Google Workspace). Global Collaboration : Partner with global teams in InfoSec, Networking, and Systems Operations to adhere to global IT processes. Lifecycle Management: Managed the end-to-end hardware lifecycle, from automated provisioning via Apple Business Manager to secure decommissioning and data destruction. What You'll Need: Experience: 3+ years of technical support experience, ideally in a fast-paced or global high-tech environment. OS Proficiency: Strong expertise in configuring and troubleshooting Windows and macOS environments, including VMs, Active Directory, and DNS. Technical Stack: Hands-on experience with MSP/MDM tools like JAMF, BigFix, and ticketing system, ServiceNow. Networking Knowledge: Solid understanding of TCP/IP, Wi-Fi, and common information security practices. Soft Skills: Superior customer service and communication skills, with the ability to explain complex technical guidance to non-technical users. Project Management: Ability to lead or participate in internal IT projects independently. Able to work in a hybrid/on-site capacity at our headquarters in Columbia, MD. This is based in the US only. Ideally: Familiarity with AWS Workspaces, Okta, or specialized security tools like Nessus. Certifications such as CompTIA A+, Network+, or Microsoft/Cisco credentials. Experience working with AI tools such as Google Gemini and Claude #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $27.40 — $36.38 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re hiring a Design Systems Engineer to be one of the few engineers building the components that every Ramp product team uses — the person who makes our design system real in code. You’ll work in close partnership with our design systems lead and designers: they decide what the rules are, and you decide how to enforce them. Sometimes that’s a component that won’t allow a bad pattern. Sometimes it’s a codebase move that makes the right path the easy one. Sometimes it’s automation that catches drift before it spreads. With AI agents now writing much of the UI, this role is also at the frontier of a changing craft. You’ll help decide what the system has to guarantee when humans and agents are both building on top of it — because agents don’t settle for the happy path, and the system needs to hold up either way. Having worked as a designer (or deeply alongside one), you understand the design-eng collaboration challenges firsthand. You’re driven to improve it because you’ve lived with the pain points. You excel in UI and accessible design, prefer working directly in-browser, and get excited about emerging CSS properties. This is an IC role on a small team, which means you’ll have real say in architecture, API design, and the tradeoffs that shape how Ramp builds — foundational, detail-obsessed frontend work with an outsized impact on every screen we ship. What You’ll Do - Build and evolve the components and APIs that every product team at Ramp depends on - Make the enforcement call: when to encode a rule in the component itself, when to leave it to guidance, and when to invest in automation that catches drift - Partner with our design systems lead and designers to turn UX patterns and principles into working, consistent components - Shape the system so it holds up when both engineers and AI agents are building on it - Contribute to internal tooling and infrastructure that keeps velocity high without sacrificing quality - Champion the user experience and accessibility of our products, and keep the quality bar high - Help designers and engineers across Ramp ship faster with elegant, consistent component APIs and a focus on developer experience - Advocate for users by continuously iterating on our core products and experiences - Participate in day-to-day team rituals like design crit, story creation, and weekly stand-ups - Help us hire and grow the team to bring more craft and more perspectives to the work What You Need - Tech/startup or digital product agency experience, or equivalent - A strong frontend engineer who could pass any engineering loop at Ramp — real hands-on skill, not just prompting AI to write code - Experience building design system components and APIs, not only consuming them - Excellent front-end development skills in semantic HTML, CSS (up to date on latest features) and JavaScript (and frameworks, pref. React) - Ability to drive implementation end to end, with sound UX and system design sense - Strong understanding of Product Design software (pref. Figma) and visual/interaction design principles - Strong organizational skills and a love for documentation - Excellent communication and collaboration skills, with a willingness to push back with reasons — e.g., when encoding a rule in a component would slow everyone down - Care for the details: motion, states, accessibility, and the small decisions that make a system feel coherent Nice to Haves - Design systems experience from before AI tooling took off - Ability to articulate complex concepts to technical and non-technical peers - Solid understanding of accessibility development practices BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — Предоставление внутренних инструментов и облачных сервисов как услуги для всех продуктовых команд компании. — Обеспечение масштабируемой и надежной основы для разработки. Требования: — Грейд Senior. — Опыт работы с Kubernetes, Grafana, Yandex Cloud, Python, Terraform, Prometheus, Mimir, Alloy. Условия: — Удалённая работа.

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring a Engineering Lead to build the systems that help our clinical teams deliver services in the field and in members’ homes. You will own technical direction and delivery for scheduling, dispatch, field and mobile workflows, and the software that connects equipment and home technology to the operation. A likely first assignment is an “Air Traffic Control” system for field operations. A supervisor needs to understand what is happening and act when the plan breaks: a flat tire, a delayed visit, a missing piece of equipment, or a member whose availability changes. You will work with the people doing the job to decide what they need to see, what the system can help resolve, and when a human should intervene. This is a hands-on role that spans product and engineering. You will understand the business problem, shape the solution, build useful increments, and see whether they work. You may start without direct reports and can expect to coach and eventually manage one or two engineers. You should enjoy building personally and helping others become more capable. We value a tinkering instinct: try the unfamiliar tool, inspect the data, trace the failure, put a small improvement in front of a user, and learn from what happens. Hardware or connected-device experience can be a strong signal of that mindset, but it is not required. The central work is building dependable software for an operation that changes throughout the day. As an  Engineering Lead, Clinical Operations, you will: Work directly with supervisors, clinical field staff, and operations leaders to understand schedules, travel, capacity, handoffs, and the exceptions that disrupt a day’s work. Build field visibility and intervention tools that give supervisors useful context, distinguish current facts from missing information, and help them respond to changing conditions. Develop scheduling and dispatch capabilities that match people and visits to practical constraints, with clear ways for operating staff to review and adjust the plan. Build and debug APIs, mobile workflows, integrations, and data flows supporting field teams, connected equipment, and home technology. Prototype quickly and ship focused increments. Make deliberate choices about what to build, integrate, or buy, and avoid committing to a large system before the operation has tested the approach. Use AI actively for development, investigation, prototypes, analysis, and useful workflow capabilities. Check the behavior and make failures understandable and recoverable. Coach engineers and take on a small number of direct reports as the team develops. Maintain clear ownership, sound engineering practices, and credible delivery commitments. Partner with Product, Special Project Leads, IT, Counterpart, and the Engagement lead at the interfaces their work shares with field operations. Success in this role looks like: First 90 days: You understand how the field operation works, have shipped an improvement used by supervisors or field staff, and can show what it changed. You have a focused technical plan grounded in real constraints and exceptions. First six months: Several useful increments are in place. Supervisors can understand and respond to disruptions more effectively, scheduling and field workflows are improving, and technical ownership is clear. You should get in touch if: You are a strong production software engineer who has owned meaningful work end-to-end and still builds regularly. You can move across backend services, APIs, data flows, user interfaces, and operational workflows to solve a real problem. You have strong product instincts, learn unfamiliar domains directly, and enjoy working with the people using what you build. You have an iterative, curious approach to technology. You can describe an unfamiliar system you explored, a practical prototype you tried, or a failure you traced across boundaries. You use AI in your own engineering work and have practical experience building or integrating AI-backed capabilities, with clear verification and evaluation. You can coach engineers and are interested in responsibility for a small team as it develops. Formal management experience can help, but a strong record of Engineering Leadership and coaching also matters. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $223,100 — $290,000 USD

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring an Engineering Lead to own the technology behind Clover’s acquisition journey, from the public website and lead generation through telesales, broker workflows, and enrollment. You will understand how the operation works, shape the product and technical approach, lead a small team, and help build the systems yourself. This role focuses on autonomy and engineering-led delivery: take an important business goal, understand the people and data involved, choose a practical approach, ship useful increments, and own the result. You will also manage approximately two to three engineers, give them clear scope, and develop their judgment. Expect roughly 60% hands-on technical work and 40% management, planning, and work with business partners. Your charter includes our content management systems, telesales technology, member app, and public surface area including our enrollment forms and customer data and public analytics platforms. You will work through the whole chain, from a data source or API to what an agent or prospective member actually experiences. As an Engineering Lead, Growth, you will: Own technical direction and delivery for acquisition systems, including the public website and assets, telesales, broker workflows, and enrollment experiences. Work directly with sales, growth, marketing, and operating partners to understand the business problem, choose useful increments, and agree how their value will be measured. Connect analytics, leads, customer data, CRM, and operating workflows. Make data flows, ownership, and failure behavior understandable and dependable. Build and improve software personally. Use AI in development, investigation, analysis, prototypes, and useful product capabilities, and evaluate the result against actual behavior. Lead and coach a small engineering team. Make scope and staffing decisions, give direct feedback, and stand behind credible delivery commitments. Make pragmatic choices about architecture, vendors, and existing capabilities. Keep a focused solution moving while preserving engineering quality and control of important integration points. Partner with IT on the operation and support of sales tools, and with Product and our special projects teams on discovery, dependencies, and business change. Observe how prospective members, brokers, and sales staff use the systems. Use that evidence to improve the experience and the operation. Success in this role looks like: First 90 days: You understand the acquisition journey and existing systems, have a clear first delivery plan, and have shipped an increment that improves our users’ experience. Your engineers have clear ownership, and business partners understand the next commitments. First six months: The team has landed a new telesales stack, and other agreed acquisition priorities, including the ongoing growth demands of a five star Medicare Advantage plan. Data and tools are improving the actual sales workflow, and the result is visible in agreed operational and acquisition measures. You should get in touch if: You are a strong production software engineer who has led work end-to-end and can reason across application, integration, data, and user-experience boundaries, especially in public-facing contexts. You have managed and developed engineers while remaining directly involved in building. You enjoy the scope of an enduring small team. You have strong product instincts and can translate a commercial or operating goal into a useful technical plan with measurable results. You have built systems involving customer data, CRM, sales or acquisition workflows, public web and content management experiences, or similarly interconnected operations. You use AI deeply in your own engineering work and have practical experience building or integrating AI-backed capabilities. You can explain how you check the result. You work well with business partners, make tradeoffs clear, and can move work forward when the initial request is ambiguous. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $223,100 — $290,000 USD

Location: San Francisco, CA, USA About the role Data Engineering sits at the heart of Chime: nearly every product, analytics and AI initiative runs through the data our teams build. As a Director of Engineering, you'll lead Data Foundations and Insights, managing engineering managers and staff engineers who build the foundations the rest of Chime depends on. You'll partner closely with product, analytics, ML and business leaders to make sure our data reflects the true end state of the business for analysts and AI tools alike. And you'll play a core role in Chime's AI transformation, making sure the foundations are built right from day one. In this role, you can expect to Lead and grow an organization of engineering managers and staff engineers, setting a high bar for quality, reliability and ownership. Build strong partnerships with product, analytics, ML, risk and business leaders, and keep them confident in what your org delivers. Set the multi-year technical vision and roadmap for Chime's data foundations, and tie each investment to business and member outcomes. Make sure our data reflects the true end state of the business, so analysts and AI tools can trust it and act on it. Shape the data architecture that underpins Chime's AI transformation, making the right foundational calls early. Balance competing priorities across many partner teams, making clear trade-offs and explaining them well. Hire, coach and develop leaders, and build a team culture of trust, candor and inclusion. To thrive in this role, you have Experience leading engineering organizations through managers, including managing managers and staff-level engineers. A track record of building trusted partnerships with cross-functional partners and senior stakeholders, and keeping them aligned through competing priorities. Deep understanding of modern data architecture: ingestion, transformation, storage, governance, and serving data for analytics and ML/AI use cases. Experience setting technical strategy and a multi-year roadmap, and making the case for investment to executives. Sound judgment on architecture trade-offs at scale (batch vs. real-time, build vs. buy, cost vs. reliability), with the technical depth to earn credibility with staff engineers. Clear, concise written and verbal communication with both technical and non-technical audiences. Bonus: experience building data foundations for AI and LLM-powered tools, or working in fintech or another regulated industry. #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $269,000 — $373,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

AES is looking for a Reliability Engineer to analyze MV/HV equipment reliability perform root cause analysis and develop reliability strategies for its renewable energy portfolio.

零一万物 is looking for a Forward Deployed Engineer to work with enterprise customers to define problems and build and deploy AI applications using LLM agent and RAG technologies while optimizing real-world results.

零一万物 is looking for an Algorithm Engineer to develop core LLM agent capabilities and Harness methods while building evaluation pipelines and running experiments to improve task success reliability and efficiency.

• Спроектировать и настроить AWS-архитектуру для ML-пайплайна: ingest, inference, хранение изображений, метаданных и результатов.

Both roles are for engineers who are comfortable working beyond isolated development tasks: building and improving data pipelines, dealing with performance and reliability, maintaining data quality, and contributing to migration and modernization work. 3+ years of experience, with Apache Airflow, Spark/PySpark, Snowflake, Kafka, AWS S3, Iceberg, and Parquet.

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: Optical Engineer - Location: Warsaw, Poland - Department: Engineering /Optical Systems - Reports to: Optical Metrology and Test Lead - Employment type: Permanent - Workplace model: Hybrid (on a weekly basis) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Optical Engineer, you will prove that ICEYE's next generation of spaceborne imaging systems performs as designed. Working side by side with the optical design and AIT teams, you will build the test methods, set-ups and measurement strategies that verify optical performance at every stage, from individual components, through alignment, to complete system ready for qualification. Your data will feed straight back into design decisions, closing the loop on the trade-offs between optical design and detector performance, and giving the team the confidence to take on more ambitious optical systems. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Define and own the optical test and metrology strategy for the team's imaging systems, subassemblies, alignment, integration and qualification. - Design, build and maintain optical test set-ups, such as interferometric benches, MTF and image quality measurement, detector characterization benches. - Measure and verify the performance of optical systems against requirements (wavefront error, MTF, focus, distortion, boresight, radiometric response, stray light). - Support precision alignment and assembly with metrology, including dimensional measurement, tolerance verification and alignment of optics. - Plan and run environmental qualification testing (for example thermal vacuum, vibration and thermal cycling) with optical performance checks before, during and after, and analyse the results. - Develop automated test and analysis software to acquire, process and report measurement data, with traceable calibration and documented measurement uncertainty. - Turn test results into clear findings for optical designers and system engineers, so that measured performance shapes current and future designs. - Write test procedures, reports and verification evidence, and lead investigations into non-conformances together with suppliers and internal teams. WHAT WE’RE LOOKING FOR Must haves: - Experience in testing imaging optics, ideally cameras, telescopes and other precision imaging systems, across the product lifecycle from manufacturing and quality control through assembly, alignment and qualification. - Knowledge of optical measurement techniques, such as interferometry, wavefront measurements, MTF and image quality evaluation, and the set-ups behind them. - Knowledge of the detector side of the system, including focal plane and detector assemblies, and how detector performance is characterized. - Strong skills in instrument control and data analysis (for example Python or MATLAB), with a bias towards automating measurements. - Solid understanding of calibration, traceability and measurement uncertainty, and the ability to judge how far a result can be trusted. - Clear technical writing and communication, and a collaborative approach to working with design and systems engineers every day. Nice to haves: - Experience testing space-qualified hardware, including environmental qualification such as thermal vacuum, vibration and thermal cycling. - Experience with stray light analysis or radiometric calibration. - Knowledge of satellite systems and the integration of the optical payload with satellite platforms. APPLICATION PROCESS - Talent Attraction Screening - Hiring Manager Screening - Onsite workshop + Technical discussion - Interview with Leadership WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: New York; Connecticut; New Jersey; San Francisco Bay Area, California Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously 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 Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ 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 Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly 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 nondeterministic 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), including the operational reality of a system someone else inherits Presales experience. 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 Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: San Francisco, CA 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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.   About the role You’ll be the hands‑on security lead embedded with core product teams to secure agentic workloads end‑to‑end, from SDK through LangSmith/Graph services and customer integrations. You’ll define our security roadmap, land immediate hardening wins, and raise the bar on how AI infra is protected in production. - Own product & platform security: Design and drive application/infrastructure security controls across LangSmith, LangGraph, and the LangChain SDK ecosystem (Python/TS/Go). - Secure-by-default authN/Z: Evolve SSO/SAML/OIDC/SCIM, token lifecycles, service‑to‑service auth, and tenant isolation for cloud and self‑hosted customers. - Ship code & reviews: Land secure designs, write PRs, and introduce lightweight checks (linters, dependency/supply‑chain scanning, SBOM/SLSA provenance). - Hardening & operations: Network segmentation/Zero Trust, Kubernetes posture, secrets management, key rotation, least‑privilege IAM, egress controls. - Incident readiness: Develop IR runbooks, detection rules, and tabletop exercises; lead post‑incident forensics and blameless RCAs. - Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly without slowing delivery.   How to be successful in this role - 5+ years in security engineering with strong software skills (Python or Go; TypeScript a plus). - Depth in cloud/Kubernetes security (e.g., GCP/AWS IAM, workload identity, admission controls, network policies). - Hands‑on AppSec: code review, threat modeling, secure design, secrets & key management, authn/z patterns, multi‑tenant isolation. - Experience building detection & response and running incident management. - Familiarity with supply‑chain security (SBOM, sigstore/cosign, SLSA‑style controls) and dependency risk management. - Clear, pragmatic communication with engineers and customers. Nice to have - Security for SaaS + self‑hosted offerings, including air‑gapped deployments. - Exposure to SOC 2 / ISO 27001 programs and evidence automation. - Experience with Go services and Infra as Code (Terraform/Helm), plus policy‑as‑code (OPA/Gatekeeper/Kyverno). - Knowledge of privacy patterns (data minimization, retention, masking, workspace scoping)..   Compensation & Benefits - We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $175,000-$215,000 USD for Senior Engineers 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.

Задачи: разработка production-моделей для бизнес-задач — прогнозирование, классификация, детектирование аномалий, анализ временных рядов; участие в запуске ML-проектов полного цикла — от постановки задачи совместно с заказчиком и подготовки данных и признаков до обучения, валидации моделей, вывода в прод и оценки влияния на бизнес-метрики;

Задачи: проектировать, разрабатывать и поддерживать масштабируемые и надёжные пайплайны и ETL/ELT‑процессы; оптимизировать решения для хранилища данных;

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering   ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities. This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.   WHAT YOU'LL DO - Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains. - Design synthetic task-generation methods that produce diverse, realistic and learnable tasks. - Build systems and tooling to mutate, validate and improve synthetic tasks. - Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail. - Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities. - Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.   WHAT WE'RE LOOKING FOR - Proficiency in Python, Docker and Linux environments. - Experience with synthetic data research methods — please be ready to describe this in your application. - A strong understanding of what “good synthetic data” means, and of its limitations. - Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap. - Experience working on environments, evals or benchmarks. - Clear written and spoken English, and comfort collaborating remotely across time zones. - Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.   WHY THIS ROLE MATTERS FOR YOU - Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline. - Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents. - See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail. - High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.   Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.