Задачи:
— Разработка программ, эмулирующих работу реальных пользователей на уровне сетевых протоколов (HTTP, ODBC, SOAP, Oracle 2-Tier и др.).
— Разработка программ, эмулирующих работу ИТ-систем через интеграционную шину.
— Создание нагрузочных скриптов с помощью специализированных инструментов, таких как Apache JMeter, MF LoadRunner, IBM Performance Tester.
— Поиск «узких мест», ограничивающих производительность сложных ИТ-систем.
— Оптимизация SQL-выражений и настройка производительности СУБД.
Требования:
— Увлеченность IT-тематикой и стремление к развитию в этом направлении.
— Основы ООП, простейшие алгоритмы.
— Базовые знания Java или Python.
— Знакомство с БД MS SQL или Oracle.
— Образование: высшее или высшее техническое.
Условия:
— График работы 5/2.
— Трудоустройство по ТК РФ.
— Белая заработная плата.
— Частичная компенсация ДМС.
— Скидки на изучение английского языка.
— Отпускаем в учебный отпуск.
— 3 оплачиваемых отгула в год + к основному отпуску.
Дополнительно:
— Лекции по теории нагрузочного тестирования, MF LoadRunner, HP ALM, Apache JMeter, SQL продолжительностью 6-7 недель с 05.10.2026.
— Для отбора на курс лекций необходимо выполнить тестовое задание на работу с кодом.
— После прохождения курса и успешного собеседования возможно трудоустройство в штат компании.
Задачи:
— Проектирование, развёртывание и развитие инфраструктуры платформы искусственного интеллекта (on-prem и облако): Kubernetes-кластеры, GPU-ноды, storage, сети, безопасность.
— Построение и поддержка CI/CD/CT-пайплайнов для ML-моделей и сервисов: от артефакта DS до продакшн-инференса с откатами и канареечными релизами.
— Интеграция и эксплуатация LLM/ML-сервисов для внутренних команд и рыночных внедрений: упаковка моделей в сервисы, конфигурация autoscaling, SLA, observability.
— Настройка мониторинга и алертинга по инфраструктуре и моделям (метрики ресурсов, latency, ошибки, дрейф данных), реагирование на инциденты, участие в post-mortem.
— Автоматизация ML-пайплайнов: подготовка данных, обучение, переобучение, регистрация моделей, управление версиями и окружениями.
— Поддержка внедрений у клиентов: тиражирование платформенных компонентов, адаптация инфраструктуры под контур заказчика, участие в performance-оптимизации и cost-cutting (GPU/CPU).
Требования:
— Высшее образование.
— Опыт работы: 5+ лет.
— Глубокое понимание жизненного цикла ML-модели: от экспериментов до продакшн-инференса и мониторинга.
— Уверенный Linux, сетевые основы, безопасность, работа с контейнерами и оркестраторами.
— Опыт построения CI/CD-пайплайнов для сервисов и ML-артефактов (Docker images, модели, данные).
— Опыт с LLM/GenAI-платформами: vLLM, TGI, Hugging Face, Triton/ONNX Runtime, оптимизация инференса.
— Опыт построения feature store, model registry, ML pipelines (Kubeflow, MLflow, Airflow, Argo Workflows).
— Работа в гибридной инфраструктуре: on-prem кластеры + публичные облака (T1 Cloud, VK Cloud, Yandex Cloud и др.).
— Понимание cost-optimization: FinOps для GPU/CPU, автобалансировка нагрузок.
— Языки: Python (утилиты, обвязка) / Bash.
— Контейнеризация и оркестрация: Docker, Docker Compose, Kubernetes (Helm, Operators), желательно Kubeflow.
— CI/CD: GitLab CI / GitHub Actions / Jenkins / Argo CD.
— Инфраструктура: Terraform / Ansible, конфигурация Linux-серверов, Nginx, cert-manager.
— Data/ML-инфраструктура: Apache Kafka, Airflow/Argo Workflows, S3-совместимые хранилища, MLflow/Weights&Biases.
— Мониторинг и логи: Prometheus, Grafana, Loki/ELK, Sentry, alertmanager.
Профессиональные навыки:
— Проектирование и развёртывание инфраструктуры платформы ИИ (кластер Kubernetes, storage, сети, security) под LLM/ML-нагрузки.
— Построение воспроизводимых ML-пайплайнов: обучение, валидация, packaging модели, деплой в batch и real-time режимах.
— Настройка мониторинга моделей: метрики качества, дрейф данных, latency/throughput, автоматический rollback и retraining-триггеры.
— Совместная работа с DS/разработчиками и внедренцами: перевод экспериментальных ноутбуков в надёжные сервисы для внутренних и внешних клиентов.
Специализированные программы:
— GitLab / GitHub, Jira / Confluence/Сфера
— Kubernetes ecosystem: kubectl, Helm, K9s, Lens.
— ML-инструменты: MLflow / Weights & Biases, Kubeflow Pipelines / Airflow, model registry.
— Мониторинг: Prometheus, Grafana, Loki/ELK, Alertmanager, Sentry.
Location: Davao, Philippines; Metro Manila, Philippines; Philippines
As a Security Analyst, you will be a crucial part of our cybersecurity team. This role is designed for individuals who are passionate about cybersecurity and eager to develop their skills in a dynamic and supportive environment.
This resource will assist in monitoring, analyzing, and responding to security incidents, ensuring the protection of our clients' data and systems.
Key Responsibilities:
Security Monitoring and Analysis:
Monitor security alerts and events using various security tools and platforms.
Analyze security incidents to determine their impact and severity.
Assist in the investigation and resolution of security incidents.
Assist with checking and resolving security agent related issues.
Incident Response:
Participate in the incident response process, including identification, containment, eradication, and recovery.
Document and report security incidents and actions taken.
Vulnerability Management:
Assist in the identification and assessment of vulnerabilities in client systems.
Support the implementation of remediation measures to address identified vulnerabilities.
Threat Intelligence:
Stay updated on the latest cybersecurity threats and trends.
Assist in the collection and analysis of threat intelligence to enhance security posture.
Security Awareness and Training:
Support the development and delivery of security awareness training for clients.
Promote best practices for cybersecurity within the organization and to clients.
Participate in group tabletop exercises
Compliance and Reporting:
Assist in ensuring compliance with relevant security standards and regulations.
Prepare and maintain security documentation and reports.
Collaboration and Support:
Work closely with senior security analysts and other IT teams to enhance overall security.
Provide support for security-related projects and initiatives.
Direct Manager: Security Operations Manager
Qualifications:
Bachelor's degree in Cybersecurity, Information Technology, or a related field.
Basic understanding of cybersecurity principles and practices.
Familiarity with security tools and technologies (e.g., SIEM, firewalls, antivirus software).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Eagerness to learn and adapt in a fast-paced environment.
Preferred Skills:
Relevant certifications (e.g., CompTIA Cybersecurity Analyst / CySA+).
Experience with scripting or programming languages (e.g., Python, PowerShell).
Knowledge of network protocols and operating systems.
Salary: $1,000 – $2,000 / month
УдалённоDavao, Philippines; Metro Manila, Philippines; Philippines
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry's issue platform processes billions of events every day to help millions of developers find and fix bugs. The hard part is deciding which events point to a problem, which belong together, and what a developer needs to know to investigate.
As a Senior Software Engineer on the Issue Detection team, you'll design, build, and operate the systems that make those decisions. You'll work on real-time processing pipelines, monitors, and analysis systems that detect problems and turn them into issues. The work combines distributed systems with product engineering. Choices about detection accuracy and processing latency affect which problems developers see and how soon they can act.
You'll help shape how developers monitor their applications and how Sentry groups related events into issues. You'll also build the context developers and AI agents need to investigate what went wrong. Keeping these systems reliable and fast as Sentry grows is part of the job, alongside making the issues they produce more useful.
IN THIS ROLE YOU WILL
- Build and scale features on a product surface handling billions of events daily, where both query latency and correctness are immediately visible to users.
- Own the design and delivery of substantial projects end to end, scoping alongside product and design, making the technical calls within your scope, shipping, and instrumenting what you ship so the team can measure it.
- You will contribute to meaningful technical product decisions: grouping quality, search performance, migrations and backfills against enormous datasets, and making the surface work well for both humans and agents.
- Champion product quality and user experience. Build features that don't just work—they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. You instrument everything so the team can measure and improve.
- Mentor and elevate others. You've helped engineers grow their skills. You celebrate wins and learn from failures alongside your teammates.
YOU’LL LOVE THIS JOB IF YOU
- Are a distributed systems engineer who understands the realities of high-scale architectures. You know about eventual consistency, partitioning strategies, caching layers, and query optimization. You've debugged enough systems at scale that you now know to design for failure and build systems that degrade gracefully.
- Are product-minded and understand that great engineering serves users. You collaborate effectively with Product and Design, offering technical perspectives that shape better products. You can explain technical constraints in user-centric terms. You get excited about making developers' lives better, not just solving technical puzzles.
- Have strong full-stack instincts. While this role is backend-heavy, you understand the entire system from data ingestion to what renders in the browser. You know enough about frontend performance, API design, and user experience to make good architectural decisions that consider the whole picture.
- Include and uplift others. You've helped engineers grow their skills in systems design, coding practices, and product thinking. You're generous with knowledge and patient in explaining complex concepts. You celebrate wins and learn from failures alongside your teammates.
QUALIFICATIONS
- 5+ years of full-stack software engineering experience, ideally Python and TypeScript
- Strong domain modeling skills, with working experience in distributed systems, data stores, and message queues
- Excellent written and verbal communication skills
- Experience with PostgreSQL, ClickHouse, or Kafka is preferred
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: United States
Workplace: Remote
ABOUT MATTER LABS
Matter Labs builds private cryptographic infrastructure that lets regulated institutions settle directly with each other without exposing data, ceding control, or waiting days. Global finance moves $4 quadrillion a year on systems designed for paper and telex. The institutions that built them - from clearing houses to exchanges to the world's largest banks, institutions are now actively replacing them. We're building what comes next.
Our core product, Prividium, gives each institution its own private environment (a Prividium Zone) with independent governance and built-in interoperability across counterparties, asset classes, and jurisdictions. Interoperability happens through zero-knowledge proofs: one party proves a transaction is valid without revealing any underlying data to the counterparty. The only private settlement infrastructure built on zero-knowledge cryptography.
Founded in 2018. Backed by a16z and Union Square Ventures. A fully remote team of around 70 with eight years of production zero-knowledge infrastructure behind us, now pointed at the biggest problem in institutional finance.
THE ROLE
You will be a product engineer embedded with our institutional customers, taking Prividium from a signed deal to a live chain inside their environment. Our customers include banks, custodians, and clearing houses whose existing systems carry years of regulatory, audit, and operational requirements.
Your job is to uncover those requirements, design an end-to-end solution, and work with the customer's engineers to bring it into production. You will make recommendations, challenge requests that do not solve the underlying problem, and identify what should become part of the platform.
We are hiring two product engineers to design and deliver complete customer solutions. Both need the judgment and technical depth to own customer work independently, from initial discovery through production
WHAT YOU WILL DO
- Work with customers to clarify their needs and design the whole solution across authorization, data layers, integrations, and deployment.
- Make product decisions: investigate the underlying problem, quantify the need, and recommend what to build and what to defer.
- Own delivery from the first conversation through production, including integration code, permissioning, upgrade paths, and the customer's runbook. Work can span DevOps, frontend, and integrations, and you will learn what is needed to finish it.
- Build working reference applications that prove use cases such as collateral movement, tokenized deposit transfer, and settlement flows, and can be adapted for subsequent customers.
- Triage customer issues, including problems in self-hosted environments. Diagnose what you can resolve, distinguish configuration issues from platform problems, and bring engineering or on-call support in when needed.
- Participate in a shared on-call rotation covering Prividium and our hosted services.
- Work with Product, Sales, and core engineering on which accounts to go deep on and which solutions should become reusable platform capabilities.
WHAT WE ARE LOOKING FOR
- A record of designing and shipping complete systems used by real customers. You can explain the architecture, the decisions you made, and what you personally owned.
- Product judgment and systems thinking. You can turn an ambiguous customer problem into a solution, explain the trade-offs, and choose an appropriate scope.
- The ability to write, debug, and maintain production software, with fluency in a language such as TypeScript, Rust, Go, Java, C#, or Python. You can pick up our stack and adapt to unfamiliar technologies.
- Experience owning and operating production software, including responding to incidents. You take responsibility for how the solution works after it ships.
- Customer communication and independent judgment. We should be able to trust you to work with a customer for a week, make progress, and recognize when to ask for help.
- Curiosity about the problem and the product. You investigate difficult or unfamiliar parts of the work, seek out what you need to learn, and can explain why you made a particular design choice.
- An understanding of how large organizations work, including documentation, identity and entitlements, enterprise authentication and networks, controls, and operational expectations.
Your experience could come from product engineering, forward deployed engineering, solutions architecture, enterprise transformation, infrastructure engineering, or founding a company. We value evidence of ownership, adaptability, and working products across those backgrounds. Startup experience is a plus, but it is not required.
WORK MODEL & PAY
- Competitive base salary
- Performance-based variable compensation and a long-term token incentive are additional. Both are paid in ZK tokens. New-hire token grants vest over four years with a one-year cliff.
- Fully remote, with roughly 10 to 25 percent travel to customer sites depending on which accounts you carry.
- Shared on-call rotation covering Prividium and our hosted services. Everyone in this role is on it.
- Our customers are in North America and Europe, so we need working-hours overlap with those time zones.
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As an intern on our team, you'll work on technical challenges that have real impact on our product and business, and we're looking for interns with strong foundations in coding and statistics and who are clear communicators with both technical and non-technical audiences.
This internship will be based out of our San Francisco or New York Hub.
What you'll do at Figma:
Own a scoped project end to end—from framing the question with Product, Engineering, Design, and Data Science partners through delivering the work—with support from a manager and mentor.
Analyze user behavior, product performance, or business data to uncover insights and translate them into recommendations for businessDesign and evaluate experiments and develop metrics that help teams understand the impact of product changes.Build models to understand user behavior and predict growth
Build and improve data pipelines and tools that make product data more scalable and accessible
Focus areas may include analytics, experimentation, or infrastructure - based on your interests and business needs
Some projects you could work on:
Analyze how people adopt and use a new or existing Figma product experience, define meaningful success metrics, and turn patterns in engagement and retention into product recommendations.
Build and validate a new analytical method or tool that expands how Figma’s Data Science team solves recurring problems.
Study marketing or customer-journey data to identify drivers of acquisition, conversion, or retention.
Develop and evaluate forecasts or models that help teams anticipate user or business trends and plan more effectively
We'd love to hear from you if you have:
Experience using SQL and a scripting language such as Python or R to clean, explore, and analyze data through research, projects, or prior work.
A solid foundation in statistics and quantitative reasoning, with exposure to areas such as experimentation, forecasting, statistical modeling, causal inference, or data modeling.
The ability to structure open-ended questions, validate your analysis, and connect findings to product or business decisions.
Curiosity, initiative, and strong communication and collaboration skills with both technical and non-technical partners.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$46
—
$46 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: London, England
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We’re looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match.
Our interns are embedded into small, collaborative engineering teams across the company. You’ll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you’ll get to learn, contribute, and grow in a supportive environment.
This internship will be based out of our London Hub with a 5/3, 5/17, 6/1 or 6/14 start date.
Engineering Interests at Figma:
When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about:
Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more
Platform/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more
Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features
Open: I’m flexible and still exploring different types of work
What you'll do at Figma:
Join a small engineering team as a full member of the team, with your own project and mentor
Contribute to projects that directly align with team goals and impact
Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines
Build, document, and maintain tests, features, or infrastructure
Share feedback and participate in peer code review
Ship your project(s) by the end of your internship!
Some past intern projects:
Diagramming improvements in FigJam
Smart selection
Shared fonts
We’d love to hear from you if you have:
Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms
Experience solving technical problems through school, work, or personal projects
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
Demonstrated curiosity about how systems are designed and operate, from infrastructure to UI
Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We're looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match.
Our interns are embedded into small, collaborative engineering teams across the company. You'll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you'll get to learn, contribute, and grow in a supportive environment.
This internship will be based out of our San Francisco or New York Hub with a 5/3, 5/17, 6/1 or 6/14
start date.
Engineering Interests at Figma:
When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about:
Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more
Backend/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more
Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features
Open: I'm flexible and still exploring different types of work
What you'll do at Figma:
Be fully embedded onto a Figma engineering team
Contribute to projects that directly align with team goals and impact
Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines
Build, document, and maintain tests, features, or infrastructure
Share feedback and participate in peer code review
Ship your project(s) by the end of your internship!
Some past intern projects:
Diagramming improvements in FigJam
Smart selection
Shared fonts
We'd love to hear from you if you have:
Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms
Experience solving technical problems through school, work, or personal projects
Are excited to explore how systems are designed and operate, from infrastructure to UI
Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer
While it’s not required, it’s an added plus if you also have:
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$55
—
$55 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We’re seeking an Intermediate Developer with a full-stack or backend-focused background to join our Enterprise Tenants and Policies team,
This team focuses on the B2B side of our Enterprise Password Manager. We build features that help large organizations manage 1Password at scale. Our team focuses on multi-tenancy and linked accounts, policies that give businesses control over how 1Password operates across their organizations, and intuitive admin experiences for managing groups, teams, and other configurations. As we continue moving from a monolithic application toward a microservice architecture, you’ll help evolve our policy services and build enterprise features that work across multiple services and codebases.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have 2+ years of experience in software development
- Experience with a modern backend language (e.g. Go, Node.js, Ruby, or Python)
- A drive for and proven experience in software development best practices and coding standards
- You enjoy solving moderately complex problems and have demonstrated an ability to propose effective solutions
- You enjoy communicating and collaborating, with experience working effectively across teams and explaining technical concepts to non-technical cross-functional partners
- You’re passionate about testing methodologies and debugging techniques that ensure high-quality code
- You’re comfortable working across multiple services and collaborating with other teams to deliver complete, impactful solutions
Bonus points for:
- Experience with DevOps practices while also contributing to application development
- Experience working with Kubernetes and infrastructure configuration
- Experience working with microservices or distributed systems
- Experience building frontends with TypeScript and React
- Exposure to security, enterprise, or admin-focused products
What you can expect:
- Code, test, debug, deliver, and maintain production software systems for new and existing enterprise features
- Build features that support multi-tenancy, linked accounts, policy management, and the admin console experience
- Contribute to the team’s transition from a monolithic application toward a microservice architecture
- Collaborate with cross-functional teams and stakeholders throughout the development cycle to ensure smooth releases
- Coordinate with partner teams working in areas such as authentication and authorization, insights, and managed service providers
- Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way
- Contribute to design and architecture documents, helping ensure solutions are thoughtfully planned and deliver their intended impact
- Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions
- Participate in planning by identifying major tasks and breaking down, estimating, and planning work
- Write comprehensive tests during various stages of the development cycle, ensuring code functions as expected
- Review code for others to maintain high code quality, share knowledge within the team, and support a safe environment for giving and receiving feedback
- Generate and review documentation on code and development processes to ensure scalability
- Stay informed about the latest industry trends, technologies, and development best practices
- Be available for on-call rotational work to ensure uninterrupted support and resolve emergencies
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are looking for a Senior Associate, Marketing Operations to own the operational engine behind Garner’s demand generation motion. You will run day-to-day campaign operations, deliver marketing reporting and analysis, and keep lead data flowing to sales with speed and fidelity. This is an automation-first role: you will use AI tools to continuously convert manual work into monitored, hands-free processes, so the role gets more leveraged as you build. This role reports to the Director of Marketing Operations.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Own campaign operations end-to-end, including campaign enrollment, list processing, tracking setup, and CRM data hygiene, ensuring every campaign is accurately tracked and attribution is preserved
Own the marketing ops request queue, triaging and delivering requests within SLA and escalating only what requires systems-level judgment
Use AI tools and automation to convert repetitive campaign ops and request work into hands-free, monitored processes, measured by declining manual effort per campaign
Deliver marketing reporting and analysis, maintaining and automating the reporting library (recurring refreshes and event, webinar, and email performance reports) and executing one-off data pulls and analyses as needs arise
Own day-to-day lead routing operations, monitoring flow health, resolving routing exceptions, and maintaining speed-to-lead as routing logic and data sources evolve
What you will bring to the team:
1–3 years of experience in marketing operations, revenue operations, or a related operational role, preferably at a B2B organization
Hands-on HubSpot experience (workflows, forms, segmentation); Salesforce familiarity is a strong plus
An automation-first mindset: you’re comfortable with detail-oriented execution, and you’re routinely asking how a process could be made repeatable or hands-free
Fluency with AI tools (e.g., Claude) applied to real workflows, or strong motivation to build it fast
Data comfort: confident building reports and working in spreadsheets; SQL or Python exposure is a plus
A self-starter mindset toward understanding, documenting, and navigating new systems
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Compensation Transparency:
The target salary range for this position is $95,000 - $115,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Обязанности:
• Администрирование и развитие СЗИ: полный цикл поддержки, настройки и обновления межсетевых экранов (Континент 4 / NGFW) и системы централизованного управления антивирусной защитой Kaspersky Security Center (KSC).
• Участие в проектировании новых инфраструктурных решений, выявление рисков и формирование требований по безопасности.
• Защита периметра и сегментация: настройка правил фильтрации, контроль сетевых доступов, управление VPN-соединениями.
• Контроль уязвимостей: регулярный анализ защищенности инфраструктуры, сканирование уязвимостей (VM) и контроль их устранения (Patch Management).
• Мониторинг и реагирование: участие в реагировании на инциденты информационной безопасности.
• Выполнять и развивать «hardening» серверов, контейнерных платформ и облачной инфраструктуры.
Требования:
• Понимание угроз безопасности информации современных компаний.
• Опыт сопровождения средств защиты Лаборатории Касперского (KSC/KES/KSMG), Код Безопасности (NGFW), КриптоПро (Ngate).
• Понимание современных подходов к информационной безопасности: ZeroTrust, Secure by Design, DevSecOps и Shift Left.
• Знание принципов работы современных средств защиты информации: FW, NGFW, L7 FW, IPS/IDS, NDR/NTA, AntiDDoS, SIEM, EDR/XDR, IDM, PAM, MFA, DLP, VM и т.д.
• Опыт работы с ОС *nix на уровне опытного пользователя.
• Опыт автоматизации на PowerShell, Python.
• Желание поставить все на мониторинг и настроить алерты, максимально автоматизировать операционные задачи.
• Умеете обосновывать свою точку зрения и доносить свои мысли.
Location: Chicago, Illinois; San Francisco, California
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
As Fin becomes mission-critical for our most strategic customers, we’re growing our team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation. These roles can be based out of our San Francisco or Chicago offices.
As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments.
If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering and Go-to-Market teams, this role offers a rare opportunity to combine technical excellence with real customer impact.
What will I be doing?
Drive adoption of Fin by helping customers unlock the power of our AI capabilities to automate and scale their support operations.
Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
Work hands-on with customers’ technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
Collaborate closely with Sales, Success and Product teams to ensure seamless customer experiences, successful project delivery and actionable product feedback.
Contribute to the evolution of Forward Deployed Engineering by codifying best practices and sharing insights from customer engagements to help the team scale and grow.
What skills do I need?
A strong engineering background and experience building software with real-world usage. Experience building a SaaS product is a plus, but not a requirement.
Interest in AI and machine learning, and the ability to quickly build an understanding of novel problems, capabilities and architectures - including their trade-offs and limitations.
Strong cross-functional collaboration skills, with the ability to navigate organisational boundaries and bring people together to achieve the best outcomes for our customers.
Deep knowledge of at least one high-level programming language, such as JavaScript, Python or Ruby. It doesn’t need to be a language we use today - great people learn quickly and can introduce us to better ways of working.
The ability to prototype and ship software quickly while maintaining a high bar for quality and a clear focus on business goals and outcomes.
Proficiency using and writing REST APIs to integrate systems effectively.
Strong communication skills. You can comfortably discuss the same topics with engineers and non-technical audiences, adapting the depth and detail as needed.
Willingness to travel and work on-site with customers to build strong relationships and deeply understand their needs.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $180,000 - $200,000 and $160,000 - $180,000 within the Chicago area. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: United Kingdom; Tel Aviv Office
Workplace: Remote
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers.
Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns https://blog.chainalysis.com/reports/cryptocurrency-terrorism-financing-al-qaeda-al-qassam-brigades-bitcointransfer, disrupting major ransomware operations https://blog.chainalysis.com/reports/netwalker-ransomware-disruption-arrest, identifying the Twitter hackers https://blog.chainalysis.com/reports/chainalysis-doj-twitter-hack-2020, and more.
We are building the data platform https://blog.chainalysis.com/reports/series-f/ for blockchain, cryptocurrency, and web3. We’re looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale!
In this role, you’ll:
- Own and improve our data ingest Java service for enriched transfers generation and aggregations.
- Design and tune PostgreSQL transaction batching, indexing, and replication strategies.
- Contribute to the next-generation architecture. The team is evaluating a wide stack of cutting edge technologies. You will run PoCs, benchmark latency, and write ADRs and contribute to delivering the next generation to PROD.
- Build and maintain scalable API services on AWS that handle thousands of requests per second
- Help automate network onboarding end-to-end.
- Debug production issues across microservices, define SLOs, and participate in the on-call rotation
- Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks: automated incident triage, self-healing pipelines, and intelligent alerting
We’re looking for candidates who have:
- 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads
- 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling
- Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging
- Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform
- Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path
- Comfort with AI-assisted development and agentic engineering practices
- A bias to ship and iterate alongside product and design partners
- A genuine excitement for significantly scaling large data systems
Technologies
Core (experience required):
- PostgreSQL
- Java Spring
- Kafka
Expected familiarity:
- AWS
- Kubernetes
- Terraform
- Python
- Github including Github Actions
- DataDog
- Humio
- PagerDuty
NICE TO HAVE
- Database migration experience (evaluating and cutting over between storage systems)
- Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet)
- Kubernetes operations (StatefulSets, HelmReleases, stateful workloads)
- Mentoring engineers and driving technical decisions through RFCs/ADRs
- Interest in the cryptocurrency
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Задачи:
— Администрировать и развивать Linux-инфраструктуру;
— Настраивать и оптимизировать сетевой стек;
— Писать production-коды на GO и Python;
— Работать с сетевыми протоколами, поддерживать и развивать распределенную инфраструктуру доставки и маршрутизации трафика.
Требования:
— Уверенное администрирование Ubuntu;
— Опыт работы с systemd (юниты, зависимости, hot-reload сервисов), netplan, journald, logrotate;
— Настройку и оптимизацию сетевого стека Linux через sysctl (буферы, conntrack, очереди NIC), настройка IPv4/IPv6, swap;
— Опыт написания идемпотентных Bash-скриптов;
— Уверенная работа по SSH с большим количеством серверов;
— Опыт реализации безопасных деплоев и green-blue updates;
— Глубокое понимание TCP/UDP, TLS (SNI, ALPN, handshake на уровне пакетов), HTTP/1.1–HTTP/2, WebSocket;
— Экспертное знание DNS;
— Опыт построения DNS Load Balancing;
— Опыт работы с CDN, nginx Reverse Proxy, TLS-терминацией, проксированием WebSocket, fallback-страницами и health-check;
— Уверенный опыт разработки на Go (concurrency, тестирование, работа с сетевым стеком);
— Опыт разработки на Python (FastAPI; слоистая архитектура);
— Уверенный технический стек (SQLAlchemy, Alembic, pytest (unit и e2e, генерация конфигураций из YAML-деклараций));
— Опыт работы с Prometheus, Grafana, Docker, Docker Compose;
— Навыки диагностики production-инцидентов с использованием tcpdump, dig, ss, iproute2;
— Ежедневное использование AI-инструментов в разработке, автоматизации и инженерных задачах.
Условия:
— Полностью Remote, full-time 5/2;
— Конкурентная заработная плата;
— Полностью оплачиваемый испытательный срок (1 месяц);
— Возможность напрямую влиять на архитектуру продукта и принимать ключевые технические решения;
— Работу в небольшой сильной команде без бюрократии и долгих согласований.
УдалённоseniorГеография найма не уточнена
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Написание и выполнение SQL-запросов
— Проведение расследований по качеству данных
— Анализ требований и подготовка технических заданий для разработки отчетов
— Описание настроек баз данных, таблиц, справочников и процессов
Требования:
— Экспертное владение SQL и MS Excel
— Опыт работы с FMCG рынком
— Навыки работы с транзакциями
— Опыт разработки алгоритмов формирования отчетов на основе агрегатов
— Опыт постановки задач на разработку отчетов
— Приветствуется опыт с Python и R
Условия:
— Полная занятость
— Официальное оформление
— Пакет ДМС
Задачи:
— Портировать легаси Perl-приложения на современный Debian (Trixie).
— Собирать дистрибутивы портируемых приложений и передавать их в эксплуатацию.
— Поддерживать и внедрять CI, настраивать системы сборки приложений.
Требования:
— Глубокие знания Perl и опыт работы с легаси-кодом (портирование/модернизация).
— Опыт работы с Debian и переносом приложений между дистрибутивами.
— Опыт с реляционными БД (MySQL/PostgreSQL) и миграциями (в проекте — переход на MariaDB).
— Знание Unix-инструментов (bash/sed/awk) и умение работать с большой внутренней инфраструктурой.
— Опыт работы с CI/CD и контейнеризацией (Docker).
— Коммуникабельность и умение работать в команде при поддержке крупного проекта.
— Знание Python (будет плюсом).
Условия:
— Полная занятость.
— Ставка 280 000 руб. net (на ИП РФ).
— Локация: офис в Санкт-Петербурге (БЦ "Антарес"); возможна удалёнка для сильных экспертов.
— Предоставят виртуалку на Linux для работы; ОС на вашем ПК не имеет значения.
— Проект до конца 2026 года с высокой вероятностью пролонгации.
— Требование: гражданство РФ.
Задачи:
— Разработка и поддержка бэкенд-систем продуктов Astana Hub.
Требования:
— Опыт работы с Python и Django.
Условия:
— Работа в офисе компании Astana Hub.
Проект:
Разработка единой системы оценки эффективности.
Задачи:
— Разработка решений вокруг DWH
— Создание ETL / настройка сбора данных, BI-аналитика
— Проработка архитектуры данных и системы для их сбора
— Внедрение нового функционала, сокращение техдолга
Требования:
— Опыт проектирования и построения пайплайнов: Python / Apache Airflow
— Интеграция источников с GraphQL, RESTful
— Хранение данных в Apache Iceberg / проектирование архитектуры хранения данных
— Проектирование архитектуры сбора данных и витрин
— Тестирование данных на всех уровнях требований к качеству данных
— Настройка метрик и алертов Prometheus / интеграция с внутренними системами оповещений
— Знание предметной области
Условия:
Удаленный формат работы
Интересный проект с архитектурными задачами
Профессиональный рост
УдалённоmiddleГеография найма не уточнена
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