Задачи:
— построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников;
— работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины;
— оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах;
— управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов;
— визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки принятия бизнес-решений;
— оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности.
Требования:
— уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов);
— понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ;
— базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач;
— аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию.
Желательный опыт:
— создание дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных);
— понимание концепций ETL/ELT;
— понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики);
— интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster).
Условия:
— срочный трудовой договор на 3 месяца;
— график 5/2, не более 30 часов в неделю;
— возможность работы удаленно, в офисе или в гибридном формате;
— стажировка открыта для студентов любых ВУЗов и форм обучения, включая заочную и магистратуру.
— Разработка и поддержка AI-архитектуры: интеграция API (OpenAI, Anthropic), создание кастомных RAG-систем, оптимизация промптов и пайплайнов данных. — Быстрое UI/UX прототипирование: самостоятельное создание аккуратного, чистого фронтенда/интерфейса для разработанной вами AI-логики (работаем без лишних звеньев, напрямую в продукт).
‼️ Qo`shimcha: Biz jamoamizga full stack mobile engineer qidirmoqdamiz, backend + ios/android ilovalarni mustaqil yuritish, optimizatsiya qilish va rivojlantirish.
Требования:
— Степень бакалавра в области электротехники, электронной технологии, электротехнической технологии, электротехники и компьютерной инженерии или в смежной области.
• Leverage AI to design and build features across backend, web, Android, and iOS. • Collaborate with product managers to shape goals into solutions and own the end-to-end development.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows.
EXAMPLE INITIATIVES
Your team will work on these types of projects as part of our Inference Runtime team:
- Agentic inference optimization: 50-90% faster engines https://www.baseten.co/blog/agentic-inference-optimization-faster-than-sota/
- Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/
- Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/
- The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
RESPONSIBILITIES
- Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews.
- Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales.
- Own the technical roadmap and execution for runtime performance work, balancing customer needs, new model launches and long-term platform investments.
- Stay close to the technical work. Review designs, guide profiling and optimization efforts, and help the team reason from first principles about where time and memory go.
- Drive the productionization of inference techniques such as quantization, speculative decoding, KV-cache reuse, chunked prefill and custom scheduling.
- Turn performance wins into measurable outcomes: tokens per GPU-hour, utilization, latency and cost.
- Help the team bring up and tune new model architectures on new hardware quickly, often in the same week they're released.
- Partner with Infrastructure, Inference Platform, Kernels, Model APIs and customer-facing teams to set priorities, coordinate launches and ship wins.
- Set high standards for engineering quality, benchmarking, operational excellence and incident response.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience managing engineers, including hiring, mentoring, giving feedback and running performance reviews.
- Experience leading or closely supporting GPU optimization teams in training, inference or recommendation systems.
- Strong technical depth in GPU workloads, with a solid understanding of GPU architecture and performance tradeoffs.
- Familiarity with ML libraries such as PyTorch, TensorRT or TensorRT-LLM.
- A track record of driving roadmaps and shipping complex technical projects with a team.
- Clear written and verbal communication, including the ability to align stakeholders across teams.
NICE TO HAVE
- Familiarity with inference engines such as vLLM, SGLang or TensorRT-LLM.
- Experience with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching) in production.
- Experience with GPU kernels (CUDA, Triton, CUTLASS, or similar).
- Experience scaling a team through rapid growth at a startup.
- A background as a hands-on performance or systems engineer before moving into management.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs.
Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success
Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise
Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions
Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites
Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Create and deliver technical content, from engineering deep dives to executive briefings
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams
Minimum qualifications
Active TS/SCI clearance with Polygraph
Prior experience working within US intelligence community agencies as a government civilian or cleared contractor
4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers
Strong programming skills with proficiency in Python or TypeScript and experience building production applications
Hands-on expertise in one or more of the following domains:
Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security)
Cryptography and cryptanalysis
Intelligence analysis and ISR (all-source, SIGINT, GEOINT)
Mission and weapons systems (command and control, space, electronic warfare, autonomy)
CBRN and nonproliferation
Accreditation of classified systems (RMF, ATO, cross-domain solutions)
Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach
Preferred qualifications
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Experience deploying and operating software in air-gapped or classified environments
Experience designing scalable cloud architectures and integrating with enterprise systems
Background in artificial intelligence, machine learning, or data science
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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.
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:
$280,000
—
$320,000 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: Ukraine
About us
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed.
We are looking for a
Senior QA Automation Engineer
to join us as part of our team.
About the role
As a QA Automation Engineer, you will work on a distributed platform for data management and protection used by cloud-driven enterprises. The platform enables secure and seamless moving to the cloud while ensuring complete control over the data lifecycle. It unifies management, governance, and protection in one interface to deliver a consistent user experience and enable collaboration across environments.
Our stack
React, TypeScript, Python, AWS (Lambda, SQS, Cognito, IAM, S3, EC2, DynamoDB, SSM, SES, CloudWatch), Cypress, Jenkins, Docker
Team
3 BE, 2 FE, 2 QA, PO
As a qualified expert You will
Own and continuously improve the project's automated testing infrastructure.
Design, develop, maintain, and execute automated tests using Cypress.
Expand automation coverage across the web platform and third-party integrations.
Build automated end-to-end scenarios covering interactions between multiple components and external systems.
Maintain regression suites and ensure automated tests remain stable and reliable.
Investigate failed test runs and collaborate with developers to identify product or automation issues.
Integrate automated testing into CI/CD processes and improve automation feedback cycles.
Review new features and requirements from an automation perspective and identify appropriate test coverage.
Contribute to the overall QA strategy with a strong focus on maximizing meaningful automation coverage.
We're looking for you if you have
5+ years of professional QA experience, with strong hands-on experience in test automation.
Strong practical experience with Cypress and building or extending automation frameworks.
Strong knowledge of JavaScript and/or TypeScript for test automation.
Experience automating complex web applications and end-to-end user workflows.
Experience with API testing and API test automation.
Experience testing integrations between multiple systems and external services.
Good understanding of test automation architecture, test design, and automation best practices.
Experience with CI/CD pipelines and running automated tests as part of continuous integration.
Experience troubleshooting failed and flaky automated tests and improving test reliability.
Good understanding of web technologies, HTTP, REST APIs, browser behavior, authentication, and authorization flows.
Ability to independently analyze functionality and determine an effective automation approach.
Good English communication skills, both written and spoken.
Proactive, independent mindset and comfort taking ownership of automation initiatives.
Bonus points
Experience automating browser extensions or Chrome-based integrations.
Experience testing or automating Microsoft Outlook add-ins / Office add-ins.
Experience with identity providers, SSO, OAuth, OIDC, or SAML authentication flows.
Experience testing integrations with cloud storage providers or enterprise storage systems.
Familiarity with AWS-based applications and services.
Experience with Jenkins and Docker.
Experience with cross-browser testing and browser automation beyond standard web application scenarios.
Experience working with distributed enterprise platforms or complex integration-heavy products.
Experience with performance or security-related automated testing.
What's in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Benefit from a flexible working schedule and create work and rest balance for yourself. Enjoy 20 business days of paid vacation for full-time, unlimited sick leave, 4 days of emergency leave, and more.
Embrace the opportunity for personal and professional growth
Take advantage of certification support, career paths and personal development plans, company-wide tech and cultural events. Elevate your skills with mentorship program, public speaking support, educational leave, access to corporate library, and more.
Feel cared about
Prioritize your well-being with a yearly budget for medical insurance/ life insurance/ abroad coverage/ travel insurance. Get compensation for sports, equipment, massage, and rehabilitation, along with access to the well-being program. Feel supported with corporate loan, tax and legal advisory and wedding and baby birth bonuses for important family events in your life.
Interview steps
Interview with Recruiter
Manager Interview
Client Interview
Location: Warsaw, Poland; Barcelona, Spain; Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Limassol, Cyprus
Join COLIBRIX ONE – Innovating the Future of Payments
At
COLIBRIX ONE*
, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include:
Global card processing
Digital wallet infrastructure
Cross-border merchant accounts
Alternative payment methods (APMs)
Corporate accounts for legal entities
We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech.
At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you.
About the Role
We're looking for a Junior+ or Middle DevOps Engineer to help us build and maintain the infrastructure that keeps our systems running smoothly.
Responsibilities
Manage and develop infrastructure based on AWS services (EKS, ECR, EC2, S3, RDS, CloudFront, and other cloud services)
Develop, troubleshoot, and improve Infrastructure as Code (IaC)
Integrate and manage GitOps setup (ArgoCD)
Services migration to Kubernetes
GitLab-CI pipelines configuration, troubleshooting, and further improvement
Automate infrastructure provisioning, application deployment, and monitoring using Terraform
Knowledge sharing with less experienced team members
What You Bring
Hands-on experience with AWS
Proven experience with Terraform and CI/CD solutions, preferably GitLab-CI
Strong experience with Kubernetes
Strong knowledge in Helm Charts, ArgoCD
Solid understanding of networking concepts such as DNS, TCP/IP, Load balancing, VPN
A solid understanding of how Linux systems work
Fluency in English and Russian
What We Offer
Opportunity to shape the future of fintech solutions within a growing company
Collaborative, horizontal team structure that values your expertise and ideas
Continuous learning and development opportunities to enhance your skills and career growth
Competitive salary and benefits package
Flexible work arrangements to support work-life balance
* This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.
Location: Jakarta, Indonesia; Bandung, Indonesia; Surabaya, Indonesia
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
Paid Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: United States
Who We Are
MEMX
is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors.
Description
MEMX
is seeking a
Network Engineering Intern
to learn how the networks behind our U.S. equities and options exchanges are built and supported. You’ll work alongside experienced engineers on hands-on projects and gain exposure to the reliable, low-latency infrastructure that supports trading.
This internship position will be offered as
hybrid
with
1-
day in
person at our
Data Center
in
North Bergen, NJ,
and
2-days in person at our
co-working office in
Midtown
-NYC
.
Work Schedule
The intern will be expected to work the following schedule:
Monday: 1:00pm – 10:00pm ET,
in person at our North Bergen Data Center
Tuesday: 10:00am – 6:00pm ET,
remote
Wednesday: 9:00am – 5:00pm ET,
in person at our co-working office in Midtown-NYC
Thursday: 9:00am – 5:00pm ET,
in person at our co-working office in Midtown-NYC
Friday: 9:00am – 5:00pm ET,
remote
Hours are subject to change based on operational needs.
*MEMX has currently approved ONLY the following states for remote work:
California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah.
What You’ll Be Doing
Help the team monitor network performance and investigate alerts and connectivity issues
Assist with network device configuration, testing, and documentation under the guidance of experienced engineers
Assist with data center activities such as racking, network and hardware, running optical fibers, etc.
Contribute to projects involving network tools, automation, and infrastructure improvements
Collaborate with teams across MEMX to understand how network engineering supports the exchange
Requirements
Current undergraduate student entering their junior or senior year, pursuing Computer Science, Information Technology, Network Engineering, or a related field
Foundational understanding of networking concepts such as IP addressing, routing, and switching through coursework, projects, or personal interests
Interest in troubleshooting and learning how large-scale networks operate
Strong attention to detail and willingness to ask questions and learn from the team
Exposure to Python, Linux, or Wireshark is a plus, but not required
Ability to work in person at our Midtown Manhattan office during the summer
Permanent residence in one of MEMX’s approved states for remote work during the internship
What You’ll Gain
Hands-on experience with the network infrastructure that supports a securities exchange
Exposure to various Options and Equities exchange platforms and how network connectivity supplements these platforms
Exposure to network monitoring, troubleshooting, and day-to-day operations
Learn how customer connections are set up and supported
Mentorship and guidance from experienced network engineers
Opportunities to collaborate with technology teams across MEMX and connect with fellow interns
Why MEMX
At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to:
Learning opportunities:
Attend Lunch & Learn sessions, professional development workshops, and relevant courses
Mentorship and support:
Learn from a mentor and a designated buddy who can help guide you throughout the summer
An intern cohort:
Connect with interns working across other MEMX teams
Social events:
Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite
Regular feedback:
Check in with your manager and HR to discuss your progress, ask questions, and get support
Future opportunities:
All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs
Pay Rate:
$30/hourly for undergraduate students
Equal Opportunity Statement
MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Diversity Inclusion Statement
At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.
• Проверять корректность финансовых расчётов: создавать эталонные сценарии, рассчитывать результат вручную и сверять его с движком. • Разрабатывать тесты-инварианты — проверять свойства, которые должны выполняться на любых данных.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation Range: $200,000 - $220,000 base plus bonus and equity
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
What You’ll Do:
The Huntress team seeks a Staff Software Engineer to join our SOC Experience team. This team builds the human-analyst side of Huntress’ SOC platform: the investigation and triage experience analysts use to work a case, the remediation actions they take, the queues that route and prioritize incoming work, and the customer-facing reporting that closes the loop with customers. Your contributions will help Huntress improve analyst efficiency, reduce toil, and drive customer outcomes as we scale
protection for the 99%
.
As a Staff Software Engineer, you’ll provide technical leadership across this surface area: shaping architecture and design direction, converting ambiguous requirements into functional workflows and data models, raising the bar on code quality and testing, and mentoring engineers across the team. You’ll partner closely with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems, and you’ll go deep in the code yourself. This is a full-stack role with real front-end weight: the analyst experiences you’ll build are data-dense, interactive interfaces, and you’ll set the bar for front-end quality as well as the back end.
Responsibilities:
Provide technical leadership across the SOC Experience surface area: investigation and triage experience, remediation actions, queues, and customer-facing reporting.
Lead and develop high-quality software, software designs, and architecture
Design and build analyst-facing interfaces end to end, from data model to browser, and set the standard for front-end quality (usability, performance, accessibility, reusable patterns) in partnership with UX
Set the standard for engineering excellence on the team through code review, test plan review, and hands-on pairing
Lead security-by-design reviews of designs and code
Focus on the full lifecycle of the systems you build, including evolution, configuration, and risk management, not just initial delivery
Share ownership of delivery, reliability, and uptime for the features you build, with observability and test automation built in
Mentor engineers across the team to help them grow into harder problems
Balance technical rigor with pragmatism: push back when a shortcut creates real risk, and push back on over-engineering when the goal is discovery or speed
Partner with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems
What You Bring To The Team:
10+ years of experience developing complex software products
5+ years of programming in Ruby on Rails
Strong front-end fundamentals (JavaScript, HTML, CSS) and experience building complex interactive UIs with modern component-based frameworks; today’s stack is Hotwire, Turbo, and Stimulus, but you can reason outside that box
Experience with AWS or other public cloud environments, and Linux-based infrastructure
Experience with relational databases such as Postgres
Experience with AI coding tools, such as Claude Code
Preferred Qualifications:
Experience with ClickHouse
Experience building cybersecurity products, or building/operating a SOC platforms
Experience with Hotwire, Stimulus, Turbo
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
If you have questions about your personal data privacy at Huntress, please visit our
privacy page
#BI-Remote
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: USA - Remote
Workplace: Remote
About Us
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
ABOUT THE ROLE
Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data.
Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly.
You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security.
This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk.
OUR STACK
Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis.
Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native.
We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines.
For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path.
We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601.
AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting.
YOU ARE
- An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better.
- Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems.
- Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix.
- An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise.
- AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials.
- Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner.
- Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix.
- Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress.
You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you.
YOU WILL
The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include:
- Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations.
- Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t.
- Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere.
- Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues.
- Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps.
- Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill.
- Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team.
- Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review.
- Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence.
Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose.
BENEFITS
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability
- 401k (US residents): We match your contributions up to 6%, vested immediately
OUR VALUES
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
LEARN MORE
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.
Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a demo https://www.close.com/demo-site!
OUR HIRING PROCESS
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.
