Location: Remote (US)
About Ondo
Ondo Finance is building institutional-grade financial infrastructure for tokenized real-world assets. We operate at the intersection of traditional finance and on-chain systems, which means our product surface has to hold up against both the ordinary threats that hit any high-value fintech and the specific ones that follow value on-chain.
About the Role
We are hiring a
Senior Security Engineer - Product Security
to own how we ship secure products at Ondo. You will be a security partner for our product engineering teams, driving threat modeling, owning secure code reviews for new products or feature expansions, maintaining and tuning AppSec tooling, and improving the existing SSDLC. You can expect to take ownership of the bug bounty program, new feature to existing product reviews, and similar broad ownership of critical functions paired to a dedicated ProdSec lead. An AI-native approach is welcome, paired with AI-driven approaches should expect to be justified by describing how doing so enables risk outcomes.
This is a hands-on IC role. You will read code, run threat models, review architecture proposals, own tooling, and push engineering teams to build products that are secure by default. You partner closely with adjacent security function like AppSec, Infrasec, and SecOps.
What You’ll Do
Drive threat modeling for new features, integrations, and architectural changes across the product surface. Push threat models past templates into decisions that engineering teams actually implement.
Own secure code review for high-risk changes — authentication, session management, cryptographic paths, wallet and signing flows, RPC and third-party integrations, permission and consent surfaces.
Expand the AppSec tooling stack and treat “reducing false positives” as a first-class deliverable. AI-native integrations are welcome.
Design and evolve our secure SDLC: where security fits in the dev workflow, what triggers a review, what a lightweight security sign-off looks like versus a full one, and how do we validate controls.
Run our responsible disclosure and bug bounty program. Set scope, triage inbound reports, decide payouts, and drive findings to closure with engineering.
Support and own appropriate scope for the intake and closure of findings from external audits and pentests — coordinate with audit vendors (Coinspect, Cantina, NCC Group, and others), organize findings into our internal risk register, and drive remediation with engineering owners.
Partner with engineering leads to align o secure-by-default patterns - libraries, templates, sensible defaults, and paved-road implementations of anything security-relevant.
Threat model blockchain-integrated components like wallet flows, RPC integrations, signing infrastructure, on-chain admin actions triggered from off-chain systems in partnership with engineers who own the on-chain code.
Contribute to hiring, mentoring, and pushing the technical bar on the Security team.
What We’re Looking For
5+ years in Product Security or Application Security, including senior IC time at a fast-moving product company.
Deep secure code review skills in at least one modern stack (TypeScript / JavaScript, Python, or Go). Ability to move across stacks at the level required to threat model.
Strong threat modeling skills, appropriate to experience - you can drive a real threat model with an engineering team, not just fill in a template. In practice, we look for core understanding of industry-relevant TTPs and IoCs and strong intuitions on how to apply those lessons learned to our products.
Practical experience owning or majorly contributing to an AppSec tooling program. You have shipped rules, tuned noise, and measured impact.
Comfortable running or building a bug bounty / responsible disclosure program end-to-end assuming properly resourced to do so.
Strong working knowledge of modern web and API security - session and auth flows, OAuth and OIDC, browser security model, common web/API vulnerability classes, and their less-common variants.
Comfortable reading Terraform, cloud IAM policies, and CI/CD configuration well enough to reason about how a product vulnerability crosses into an infra risk.
Strong engineering partnership skills - you engage constructively, understand the “why” before proposing risk controls, you know when to accept risk, and you write things down.
Willing to grow into blockchain-adjacent product security on the job, including the specific attack surface introduced by wallet, signing, and on-chain-integration code.
Blockchain Exposure Note
This role firmly lives in Web2 prodsec. But, it also requires someone who understands what “Web2 vs Web3” terminology means. In other words, how our products interact with blockchains creates unique threat models that all product security teammates must grasp. At a minimum, by Day 1 you should have strong intuitions about how blockchains will make your prodsec experience unique, you should grasp the common terminologies, and you should be able to discuss with colleagues several incident post-mortems that demonstrate how Web2 compromises lead to Web3 funds losses.
You do not need to be an expert in smart contract auditing, blockchain security architectures, or decentralized consensus-driven risk controls.
Nice to Have
Prior work at a crypto, fintech, or other company where products handle high-value or irreversible actions.
Familiarity with wallet, signing, or key-management flows.
Reading-level familiarity with Solidity or Rust, target: when ProdSec intersects with smart contracts or other on-chain applications, you can parse what the code is likely doing, and work with blockchain security subject matter experts from there.
Bug bounty history - reports, CVEs, or published write-ups.
Familiarity with browser-extension security, mobile app security, or account-abstraction wallet designs.
Public output - talks, blog posts, open-source tools, CVEs.
How We Work
The Security team values a high trust team environment where respectful candor can thrive. We expect senior engineers to have an opinionated take on how to accomplish a task, accept feedback from the team and other external stakeholders and return it in kind, and to always assume positive intent. Professionalism, ethics, and enabling stakeholders towards common goals are important always.
Location: Remote - EMEA
Workplace: Remote
ABOUT US
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
ABOUT THE ROLE
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
- Making ML workloads easy to run, scale, and operate for every team
- Providing self-service, configurable infrastructure components to ML and product teams
- Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
CHALLENGES YOU WILL TACKLE
- Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
- Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
- Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
- Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
- Be responsible for what you and your team do
REQUIREMENTS
- 5+ years of professional experience in backend or platform engineering
- Extensive Python knowledge (our primary language)
- Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
- Experience designing and building distributed, high-load services and APIs
- Strong knowledge of data structures, algorithms, and their trade-offs
- Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
- Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
- You are friendly and willing to help your teammates & others
NICE TO HAVE:
- Experience with Rust (or C/C++/Go) - a strong plus
- Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
- Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
- Experience with model serving / inference infrastructure, including LLMs
- Experience with Infrastructure as Code (Terraform or similar)
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget for every employee, refreshed each year
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
О проекте: Вы присоединитесь к ключевой команде, которая занимается разработкой и развитием основной эквайринговой платформы SmartCore. Это сложная, высоконагруженная система с микросервисной архитектурой, работающая в режиме 24/7. Платформа отвечает за весь жизненный цикл платежа — от инициации до клиринга, обеспечивая минимальные задержки, высокую отказоустойчивость и соответствие строгим стандартам безопасности (PCI DSS).
Задачи:
— Проектирование и разработка новых микросервисов и бизнес-логики на Kotlin и Java.
— Оптимизация производительности существующих компонентов системы, работа с высоконагруженными участками кода.
— Принятие ключевых архитектурных решений для повышения отказоустойчивости, масштабируемости и безопасности платформы.
— Интеграция со сторонними платежными системами, банками и процессинговыми центрами.
— Работа с асинхронными потоками данных с использованием Kafka и RabbitMQ.
— Проведение code review, наставничество менее опытных коллег и внедрение лучших практик разработки.
— Активное участие в R&D, исследование и внедрение новых технологий в стек проекта.
— Покрытие кода unit- и интеграционными тестами, поддержание высокого качества кодовой базы.
Требования:
— Коммерческий опыт бэкенд-разработки на Java/Kotlin от 10 лет.
— Экспертное владение Kotlin: идиомы, корутины, функциональные возможности.
— Глубокое знание Java Core и экосистемы JVM.
— Отличное знание Spring Boot, включая REST API, автоконфигурацию, Spring Security, Actuator.
— Экспертный уровень работы с PostgreSQL: проектирование сложных схем, оптимизация запросов, уровни изоляции транзакций, репликация.
— Опыт работы с MongoDB.
— Практический опыт построения систем на базе Kafka: брокер, паттерны producer/consumer, гарантии доставки сообщений.
— Опыт работы с RabbitMQ и Redis (кэширование, pub/sub, распределённые блокировки).
— Опыт проектирования и разработки распределённых, отказоустойчивых систем (микросервисная архитектура, CQRS, Event Sourcing).
— Знание современных AI-технологий, включая AI-агентов и LLM.
— Понимание сетевых протоколов TCP/IP, HTTP/2, gRPC.
— Опыт работы с Docker и Kubernetes.
— Навыки написания чистого, поддерживаемого и хорошо тестируемого кода.
— Высокая степень самостоятельности, проактивность, ответственность за результат и качество продукта.
Будет плюсом:
— Опыт работы в финтехе или процессинге платежей, знание стандарта PCI DSS.
— Опыт работы с реактивными стеками (Project Reactor, WebFlux).
— Опыт использования инструментов мониторинга и трассировки (Prometheus, Grafana, Jaeger).
— Опыт проведения нагрузочного тестирования (JMeter, Gatling).
Условия:
— Конкурентоспособная заработная плата, обсуждаемая индивидуально.
— Современный технологический стек и отсутствие бюрократии.
— Бюджет на обучение, посещение профильных конференций и покупку литературы.
— Корпоративный доступ ко всем передовым LLM моделям в Max комплектации.
— Работа в команде экспертов, где мнение каждого учитывается.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior GRC Engineer (Security)
- Location: Espoo, Finland
- Department: Product Security
- Reports to: VP Product Security
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As Senior GRC Engineer (Security), you'll mature ICEYE's Security Governance, Risk and Compliance program across a multi-country, multi-regulator footprint, including Finland, Germany, Spain, Poland, the UK and Greece amongst others. ICEYE operates at the intersection of commercial space technology and sovereign defence, so our compliance posture (ISO 27001, NIS2, NIST, and national frameworks) has to be credible to customers who include governments and defence agencies. You'll be the person who keeps that posture accurate, current and audit-ready, maps client and national requirements to internal ICEYE requirements, as a senior individual contributor. This role will be working closely with all the ICEYE Security team domains, ICEYE IT, ICEYE product management and the Program Management Office, Engineering and Sales.
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
The position will evolve according to the needs of the company and the growing team. Initially, the position has two main aspects, which are adjacent and many initiatives will cross both, especially in terms of overlapping requirements and compliance evidence:
- Product requirements and compliance:
- Ensure clients’ and their national security requirements are at all times clearly translated accurately to ICEYE internal requirements across product, IT, and other ICEYE functions, and we can clearly communicate those towards existing and new clients.
- Ensure ICEYE has evidence of fulfilling and complying with the requirements, preferably as compliance-as-code whenever possible.
- Support ICEYE’s Product, the Missions business line, PMO and Sales on client requirements. Produce material to support accreditation and acceptance requirements.
- Wider Iceye and regulatory compliance:
- Continuously improve ICEYE's ISO 27001 ISMS, including risk assessments, the risk register, Statement of Applicability, internal audits and certification/surveillance audit cycles.
- Track and operationalise NIS2, CRA and other EU product security obligations across ICEYE's in-scope entities, translating regulatory requirements into concrete policies, controls and evidence.
- Prepare clear, concise compliance and risk reporting for senior leadership, including status against certifications, audits and remediation plans.
- Maintain information security policies, standards and supporting documentation, ensuring they stay practical and enforceable rather than shelfware.
- Act as a day-to-day point of contact for external auditors, certification bodies and regulators on GRC matters.
WHAT WE’RE LOOKING FOR
Must haves:
- Eligible for being cleared for a Personal Security Clearance as necessary as well as a citizenship or a permanent residency in the European Union.
- Technical skills that allow you to interpret compliance requirements towards the product function; this includes being able to fluently discuss modern software architecture and development, deployment and release concepts.
- Proven hands-on experience running ISO 27001 (implementation, internal audit, or certification maintenance) in a real organisation, not just theoretical knowledge or external auditing experience.
- Working knowledge of NIS2, CRA, and how their obligations translate into practical controls and reporting.
- Strong stakeholder management skills, with the ability to influence product management, engineering, IT, legal and leadership without formal authority.
- Experience building or maintaining a risk register and running quantified risk assessments.
- Comfortable operating independently across multiple countries and regulatory regimes.
- Awareness of emerging AI governance frameworks (ISO 42001, NIST AI Risk Management Framework, EU AI Act) as well as NIST frameworks
Nice to haves:
- Relevant certifications such as CISSP, CISM, CISA, CRISC, ISO 27001 Lead Implementer or Lead Auditor.
- Experience in defence, space, aerospace or another regulated/sovereign-sensitive industry.
- Exposure to classified information handling frameworks (EUCI, NATO equivalents, or national security clearance regimes).
- A well-rounded skillset of using language models for automation.
APPLICATION PROCESS
- Initial screening call with Talent Acquisition
- Technical/competency interview with the VP Product Security
- Scenario-based exercise on requirements discovery, mapping and prioritisation
- Final interview with senior stakeholders including a behavioural interview
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: Poland
Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation. The Lead AI Engineer will provide technical leadership across two GenAI teams working on conversational agents and platform capabilities.
Technologies
Python, FastAPI, SQLAlchemy, Pydantic
TypeScript, NestJS
REST APIs, SSE, WebSockets
Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling
Agentic and graph-based workflows, multi-agent orchestration
SQL, relational databases, PostgreSQL, data modeling
Microservices, API routing, caching
pytest, Jest, LLM evaluation tests
What You'll Do
Lead and mentor two GenAI teams developing conversational agents, manage team roadmaps, foster team collaboration, and oversee project delivery;
Develop and implement innovative AI-driven solutions to advance platform capabilities;
Collaborate with stakeholders, including developers, product managers, and business operations teams, to align goals and deliverables;
Lead the development of conversational agents from concept through production deployment;
Research advanced AI technologies and integrate external APIs and services into AI-driven solutions;
Job Requirements
Bachelor’s degree in Computer Science or a related field;
3+ years of experience leading engineering teams;
6+ years of experience building customer-facing full-stack applications;
2+ years of hands-on experience with Python, including FastAPI, asynchronous programming, SQLAlchemy ORM, and Pydantic;
Experience with TypeScript and NestJS;
Experience designing and implementing AI agents using LangGraph and/or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing;
Strong understanding of LLM concepts and AI engineering practices, including RAG, prompt engineering, LLM parameters, guardrails, observability, and tracing;
Understanding of machine learning concepts, including models, model validation, and feature engineering;
Experience designing REST APIs and implementing streaming responses using SSE and/or WebSockets;
Experience working with SQL and NoSQL databases, including relational databases such as PostgreSQL;
Experience with automated testing using pytest, Jest, and/or evaluation tests for AI systems;
Familiarity with distributed system design, microservices, caching, API routing, and multi-agent orchestration;
Proactive and collaborative mindset, with a passion for making an impact on engineering teams, products, and customers;
Good written and spoken English at B2 level or higher;
Willingness to participate in pager duty rotations as needed;
Nice To Have
Experience with vector databases;
Familiarity with columnar data warehouses such as Vertica or similar platforms;
Experience with AWS and boto3;
Experience with MCP, A2A, or text-to-SQL solutions;
Familiarity with feature-flagging platforms such as Unleash or LaunchDarkly;
Experience using AI-assisted development tools such as Claude Code;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Задачи:
— Проектирование и разработка мобильных и веб-приложений, сервисов с использованием современных фреймворков (Django, Flask, FastAPI)
— Работа с базами данных: создание, оптимизация, написание запросов и обработка информации
— Реализация скриптов и утилит для автоматизации бизнес-процессов
— Интеграция с внешними системами и сервисами (REST API, другие интерфейсы)
— Тестирование, отладка и сопровождение программного обеспечения для надежной работы и соответствия требованиям
— Оптимизация производительности и масштабируемости решений для работы с большими объемами данных
— Работа в проектной команде: участие во встречах, code review, обмен опытом и помощь коллегам, менторство
Требования:
— Опыт создания приложений и разработки API на Python не менее 5-ти лет, используя веб-фреймворки (Django либо FastAPI / Aiohttp или другой асинхронный фреймворк)
— Опыт работы с СУБД хотя бы через ORM или SQLAlchemy (уверенное владение SQL, индексы, оптимизация запросов – для старших позиций)
— Желание работать в команде, участвовать в проектировании архитектуры, выдвигать предложения по улучшению решений и процессов
— Опыт внедрения собственных инициатив и улучшения процессов
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is a programmatic in-app advertising platform connecting advertisers and publishers through Android and iOS SDKs. The User Experience team owns native Kotlin and Swift code running inside publisher apps, participating in 120 million daily auctions and capturing behavioral signals powering 50 billion predictions per day. The team also manages analytics dashboards, investigation tools, and data frameworks for real-time revenue performance, infrastructure cost visibility, and data quality assessments.
Your Mission & Who We Are Looking For:
— 5+ years of data analysis experience with senior leadership, mentoring junior/mid-level analysts, and bridging business ideas to technical solutions.
— Design and automate reliable, scalable data pipelines and workflows using dbt and Airflow for real-time performance reporting, data quality control, and regulatory compliance.
— Mastery of SQL (Window Functions, CTEs, deeply nested JSON/Map types) to optimize Trino/Athena queries over 5TB+ daily data volumes for speed and cost-efficiency.
— Deep Python expertise for complex, memory-efficient data manipulation and statistical modeling to handle massive daily data volumes.
— Apply Python-driven statistical methods (Power Analysis, P-values, Bayesian frameworks) for rigorous evaluation of SDK-side experiments and feature rollouts.
— Combine data visualization and technical storytelling to translate complex analyses and operational findings into actionable recommendations for stakeholders.
Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team.
About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend.
The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development.
Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours.
Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work.
Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience.
What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap.
Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer.
How to Apply: Fill out the application form at the provided link; no cover letter required.
Задачи:
— участие в крупнейшем AI Agentic Hackathon с попыткой установить мировой рекорд Гиннесса
— работа над крупнейшим в Казахстане корпоративным курсом по искусственному интеллекту
— участие в первом в стране GovTech Camp совместно с inDrive
— запуск первых в Казахстане казахскоязычных курсов по Data Engineering, Vibe Coding, Artificial Intelligence
Требования:
— студенты и выпускники
— хороший английский язык
— быстрая реакция, организованность и инициативность
— AI-native user
Условия:
— 4 недели неоплачиваемой стажировки
— по результатам стажировки определится, кто попадет в команду
— прошедшие стажировку попадают на 3-х месячную оплачиваемую стажировку
— далее официальное трудоустройство
Дедлайн подачи: 9 августа
Location: Singapore
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Checkout.com http://Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
JOB DESCRIPTION
How you'll make an impact
- Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology
- Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support
- Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents)
- Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support
- Interact with the Product teams to pinpoint improvement ideas
- Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions
- Ability to multitask with multiple projects and integrations of customers
- Maintain/update existing libraries/plugins used in integrations
QUALIFICATIONS
- 5+ years of development or technical support experience in a Tech/FinTech company
- Have payments experience would be advantageous
- Understanding of API, REST, webhooks and logs is required
- Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C#
- Experience with Node.js, React is a plus
- Knowledge in iOS/Android is a plus
- Excellent communication skills, ability to build and maintain strong relationships
- Ability to work in a customer-focused and target-driven environment
- Good in speaking and writing in both English and Chinese
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
We are hiring a Support Engineer to join our
API Support
team. This is a hands-on, high-autonomy role. You'll own customer issues end-to-end: triaging incoming tickets, debugging production behavior across our authorizer and API surface, reasoning through configuration and data flow, and driving problems to resolution, often without needing to hand anything off. You'll work across card lifecycle, authorization decisioning, webhooks, account holder KYC, disputes, and the other configurable layers of our platform, using internal tools, Snowflake, Grafana/Loki, and AI-assisted workflows to move fast.
When issues reveal deeper product gaps, you'll partner with Engineering and Product to surface patterns and get problems resolved upstream. You will also partner with Solutions and Product Delivery to ensure that we deliver clear, timely, and charming customer communications. Your judgment directly shapes customer trust, product reliability, and our ability to scale the Support function without scaling headcount linearly with ticket volume.
Lithic is the card-issuing and payments platform powering some of the most ambitious fintechs and embedded-finance programs in the market. Our customers build on our APIs to issue cards, move money, and run card programs at scale, which means the questions that reach us are rarely "where's the button?" They're "why did this authorization decline at 3:42am ET?", "why is this webhook firing twice?", "is this dispute eligible under Reg E?", "what's the latency on our tokenization endpoint right now?" Customers don't remember when things work. They remember when things break, how fast we fix them, and whether we took the time to set things right. As a Support Engineer at Lithic, you're the person who makes that moment go well.
What you'll do:
Own support tickets from first response through confirmed resolution. No tossing them over the fence.
Debug independently by tracing system state, API logs, authorizer decisions, webhook delivery, and data flow across production.
Diagnose issues spanning card issuance, authorization decisioning, transactions and settlement, webhooks, account holder KYC, disputes, and other configurable behaviors of the Lithic platform. A typical investigation might involve querying Snowflake to trace a transaction's lifecycle, checking Grafana dashboards for latency anomalies, pulling up the customer's integration in Retool, and documenting the resolution in The Vault
Use internal tooling, Snowflake/dbt marts, Grafana/Loki, and AI-assisted workflows (Claude Code, internal agents) to investigate and resolve issues efficiently.
Maintain high operational rigor in triage, prioritization, SLA adherence, and customer communication.
Surface recurring failure patterns that inform product and engineering improvements. Drive permanent fixes, not just one-off resolutions.
Contribute to The Vault (our Notion KCS knowledge base). Write the article you wished existed when you picked up the ticket.
Create and update internal tooling using Metabase, Retool, Grafana, and Snowflake.
What you'll bring:
3+ years in a technical, execution-heavy role: Support Engineer, Solutions Engineer, Implementation Engineer, TAM, or similar. Ideally in fintech, payments, or developer-platform B2B SaaS.
Strong debugging instincts and comfort operating in production environments where you won't always have a playbook.
Comfortable with using and debugging REST API calls, webhooks, and configuration-driven systems. You are familiar with OpenAPI specs, JSON payloads, and can work through issues with HTTP calls fluently.
SQL chops. You can independently write a query against a data warehouse (we use Snowflake + dbt) to answer a customer question without needing to ping a data analyst.
Ability to reason through complex system behavior from first principles, not just follow runbooks.
Clear, direct written communication internally and customer facing. You explain what happened, why, and what you did about it, without hedging or jargon.
A strong bias toward ownership. You'd rather solve the problem than route the ticket.
Comfortable using AI tools like (LLMs and coding assistants like Claude Code or Cursor) as a part of your daily workflow.
Experience working in ticketing systems (Zendesk, Jira, or equivalent)
Strong sense of ownership and ability to work independently in a remote environment
The annual US salary range for this role is $100,000 - $140,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a remote position. However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.
Crack the code
A hidden code is tucked into this application. Find it and enter it below to continue.
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Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what "proven" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one.
Some examples of the problems this team takes on:
Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.
Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.
What you'll do
Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code.
Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result.
Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service.
Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same.
Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output.
Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization.
Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales.
Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales.
What you'll bring
Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery.
Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion.
Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others.
A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps.
Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions, and a track record of raising the quality bar for a team's output, not just your own.
A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off.
About the team
Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. Solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.
It's a good fit for engineers who want technical ownership of something with no existing playbook, and a hand in defining a brand-new part of GitLab from its first commit.
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$152,800
—
$259,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Backend Engineer on GitLab's Nonlinear Productivity team, you'll find and remove friction across the software development lifecycle using reliable AI-powered automation — diagnosing problems like long review cycles, manual release steps, and brittle automation, then building the automation and process changes that resolve them for good.
Some examples of the problems this team takes on:
Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions.
Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to.
What you'll do
Identify sources of friction across GitLab's software development lifecycle and scope agentic solutions to address them, turning vague pain points into concrete, buildable proposals.
Design and build reliable AI-powered systems that follow step-by-step workflows, use tools and safety checks, and correct errors before taking engineering action — the kind of output you can actually trust with real engineering decisions.
Build and maintain evaluation tools that judge agent output on correctness, constraint compliance, and cost, not on whether it merely "seems to work."
Work across GitLab's codebase as each problem requires, going wherever the friction actually is rather than staying inside one service or product area.
Apply distributed systems judgment to identify generated code that may fail under concurrency, at scale, or across self-managed, dedicated, and multi-tenant deployments, catching failures before they reach customers.
Collaborate with the India-based group, sharing roadmaps, findings, and reusable agent tooling
Take ownership of a greenfield problem space from day one, helping shape a proven internal fix into a capability GitLab could offer customers externally, with your scope and impact free to grow as the team scales.
What you'll bring
Hands-on experience building agentic or large language model-based systems — multi-step orchestration, tool use, guardrails, and recovery patterns — and making them reliable in production, not treated as one-off prompts or demonstrations.
A track record of working autonomously in unfamiliar codebases, getting oriented quickly, and driving solutions through completion.
Strong distributed systems knowledge, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load.
Proficiency in Go, Rust, or Python, in that order of team priority, and the ability to read and modify code in the other languages.
Helpful experience includes shipping autonomous agents that complete real tasks from start to finish; improving build systems, release processes, review workflows, or other parts of the software development lifecycle; and working with globally distributed teams, large language model workload costs, or production constraints across on-premises, air-gapped, single-tenant, and software-as-a-service deployments.
About the team
Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. It operates like a startup — no dedicated product manager, no pre-set backlog — and solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering.
It's a good fit for engineers who'd rather go find the next problem than be handed one, and who want a hand in defining a brand-new part of GitLab from its first commit.
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$139,200
—
$235,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Dubai, United Arab Emirates
Job Description
We are looking for experienced
Full Stack Developers
to design, develop, and maintain modern enterprise web applications. The ideal candidate will have strong experience with
React.js
,
Next.js
, and
Nest.js
, building secure, scalable, and high-performance applications while collaborating closely with AI, DevOps, and QA teams.
Key Responsibilities
Design, develop, and maintain front-end and back-end components of enterprise applications.
Build responsive, user-friendly web applications and dashboards using
React.js
and
Next.js
.
Develop secure, scalable backend services and RESTful APIs using
Nest.js
.
Integrate applications with AI services, enterprise systems, databases, and third-party APIs.
Implement authentication, authorization, and role-based access control (RBAC).
Optimize application performance, scalability, security, and maintainability.
Participate in code reviews, testing, debugging, and technical documentation.
Collaborate with AI Engineers, DevOps Engineers, QA Engineers, and business stakeholders throughout the development lifecycle.
Follow secure coding standards and software development best practices.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field.
5+ years
of Full Stack development experience.
Strong hands-on experience with
React.js
.
Strong experience with
Next.js
.
Strong experience with
Nest.js
.
Experience developing
RESTful APIs
.
Experience integrating applications with databases and third-party APIs.
Experience with authentication and
Role-Based Access Control (RBAC)
.
Good knowledge of SQL and/or NoSQL databases.
Experience with Git and version control.
Experience with Docker and CI/CD pipelines is preferred.
Strong debugging, problem-solving, and communication skills.
Experience working in Agile development environments is preferred.
Location: Argentina; Brazil; Mexico; Uruguay; Chile; Colombia
Location:
Fully Remote (Worldwide) – Focus on LATAM time zones (Americas)
Employment Type:
Full-time, B2B / Independent Contractor (or W2 for US-based candidates)
About the Position & Company
Our client is a global leader in Linux infrastructure and security solutions, known for pioneering automated live patching technologies that enable enterprises to apply critical kernel updates without reboots or downtime. They also provide extended support for end-of-life Linux distributions, helping organizations maintain compliance and enterprise-grade security.
With a fully remote team of 250+ professionals worldwide and a client base of over 4,500 enterprise customers—including major tech industry leaders—they deliver robust infrastructure solutions across the US, Europe, Latin America, and beyond.
Key Responsibilities
Research & Analysis:
Investigate upstream security (CVE) and bug fixes; analyze patch dependencies and impact on legacy kernels.
Backporting:
Manually backport Linux kernel patches to older kernel versions used in RPM-based and Debian-based distributions.
Conflict Resolution:
Resolve merge conflicts between upstream changes and target kernel codebases.
Kernel Packaging:
Build and rebuild kernel source and binary packages using reproducible build environments for RPM and Debian ecosystems.
Validation & Testing:
Validate patched kernels through build tests, runtime tests, and regression analysis to ensure stability.
Tooling & Automation:
Enhance internal workflows (patch preparation, build automation, validation pipelines) using Python, Go, and Shell scripting.
AI Integration:
Leverage agentic/AI-assisted development tools to accelerate tasks, while rigorously verifying every generated output.
Documentation & Collaboration:
Document technical decisions, participate in code reviews, and communicate clearly with team members across time zones.
Requirements
Must-Have
Strong C proficiency
and hands-on Linux debugging skills.
Proven commercial experience
in Linux kernel development—specifically patching, backporting, or debugging.
Solid experience with
Git
,
GNU build tools
(make, autotools), and standard Linux developer utilities.
Experience building
Linux kernels
or distribution packages from source.
Scripting and automation skills:
Python, Go, or Shell
.
Practical exposure to
AI-assisted development tools
(e.g., Copilot, Codeium, or similar), with a disciplined approach to code verification.
English:
Intermediate or higher (B1+), both written and spoken—you’ll be working in an international team and communicating in English daily.
Strong ownership mindset, balanced technical judgment, and ability to articulate trade-offs.
Nice-to-Have
Experience with
RPM/SRPM
or
Debian kernel packaging
.
Familiarity with
security patching
, CVE analysis, and extended lifecycle maintenance.
Working knowledge of
Docker, QEMU, Jenkins
, or other CI systems.
Experience designing kernel validation tests, analyzing core dumps, and investigating regressions.
Candidate Profile (Cultural Fit)
Hands-on practitioner:
You love working directly with kernel code, not just theorizing.
Methodical and detail-oriented:
Kernel patching requires precision, reproducibility, and thorough validation.
Ownership-driven:
You take responsibility for outcomes, document your work, and proactively communicate risks.
AI-curious but cautious:
You embrace AI tools to accelerate development but never skip verification.
Remote-first compatible:
You thrive in async environments with minimal supervision and clear communication.
Benefits
100% remote work
with flexible hours — work from anywhere in the world (focus on LATAM-friendly time zones).
24 paid vacation days
+ 10 national holidays + unlimited sick leave.
Private medical insurance
compensation.
Coworking space
and
sports/fitness
reimbursement.
Professional development budget
— conferences, courses, certifications.
Reward program
for patentable ideas.
A collaborative, non-corporate environment with a strong engineering culture.
Location: Chicago, IL
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
This will be a hybrid in office role in Chicago, IL.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- Travel to customers up to 25% of the time
WHAT YOU’LL BRING
- 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION:
Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location.
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
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: 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 Team
Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning.
Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development.
About the Role
As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.
Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity.
Responsibilities
Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents
Work with RL org leads on prioritizing, ranking, and tracking the state of experiments
Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided
Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down
Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions
You May Be a Good Fit If You
Have a background in ML engineering or ML research before transitioning to technical program management
Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production
Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research
Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers
Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery
Are excited about pushing the frontier of what RL can do at scale
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:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
This is a shift role. Working 8-hour shifts with 4 weekdays and 1 weekend day.
Support Engineering at GitLab isn’t just a title - you will be embedded within the Engineering department and will truly operate in an environment where Support and Engineering meet. You’ll interact with customers daily as they encounter the difficult edge cases of running GitLab in complex environments. In the space of a day, you might be doing behind the scenes work of a Linux administrator troubleshooting performance problems by using strace on a particular process, interacting with the Product team to ensure that steps in a bug report are reproducible, or interacting with the Engineering team itself by diving deep into our codebase and putting together a merge request to actually fix a customer issue.
That’s not all though - you’d equally be invited to contribute to the source code, improve our documentation, and help build out more efficient support processes in our issue tracker. We want to live in a world where everyone can contribute, and as a member of the support team, there are no barriers to using your skills to improve the experience of our users and customers.
Some examples of our projects:
A tool to automatically check a GitLab Omnibus install for known issues
A
solution to capture the state of a customer’s server
for easier troubleshooting
A tool which turns log files into interactive tables to easily sort and filter columns
A functionality to
ChatOps
to make it easier to identify user accounts on GitLab.com
What you’ll do
Support a mix of Self-managed and GitLab.com (SaaS) customers and resolve their issues via Zendesk tickets, merge requests, email and video conferencing
Collaborate with our
Product
,
Development
,
Infrastructure
,
Customer Success
and
Sales
Teams to build new features and fix bugs, define and shape the product goals, roadmap, priorities, and strategy
Create and update documentation based on customer interactions
Collaborate with Support team members (through
Pairing Sessions
) and other GitLab team members (for example: as a
Support Stable Counterpart
)
Participate in regular rotations for weekday and weekend on-call coverage (daytime only), providing emergency support to our Self-managed and SaaS customers, or working with our SaaS Production team to coordinate incident communications
Participate in our hiring processes by reviewing applications and assessments, and by participating in interviews.
What you’ll bring
Experience in, and passion for managing customer facing cases throughout the entire support lifecycle from initial customer inquiry to triage and reproduction, writing bug reports for hand off to the development team, and case resolution
Excellent Linux systems administration knowledge (LFCE or RHCE equivalent knowledge)
Ability to use scripting languages (preferably Ruby or Bash), and MVC frameworks (preferably Ruby on Rails)
Experience with Git and CI/CD
Expertise in writing support content
Ability to communicate complex technical topics to customers and coworkers of varying technical skill level
Familiarity with DevOps methodologies and technologies like Serverless and Kubernetes
Understand a range of different GitLab implementations, and how service interruptions impact the customer.
About the team
The Support team is distributed all over the world across AMER, EMEA, and APAC regions. Support Engineers work on Support Tickets and helping GitLab’s customers, but they also dig into the code and logs to find out why something is not working as expected. The Collaboration here at GitLab is extraordinary and exciting - Support Engineers
solve complex problems together
and participate in regular pairing sessions and 1:1s, as well as coffee chats and Slack conversations that help them stay connected. Team members are given the ability to structure their shift the way it best suits their private life while maintaining our ability to address customer issues.
Thanks to our
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our company
roadmap
and
listen
to some of our meetings.
How GitLab will support you
Benefits to support your health, finances, and well-being
All remote
,
asynchronous
work environment
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and development budget
Parental leave
Home office
support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоseniorRemote - EMEA
УдалённоseniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоКанада, Чехия, Нидерланды, Польша, США; However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоArgentina; Brazil; Mexico; Uruguay; Chile; Colombia; Fully Remote (Worldwide) – Focus on LATAM time zones (Americas); Document technical decisions, participate in code reviews, and communicate clearly with team members across time zones; with flexible hours — work from anywhere in the world (focus on LATAM-friendly time zones)
