Задачи:
— Эксплуатация и развитие существующей инфраструктуры;
— Построение и поддержание актуальной сетевой карты инфраструктуры в AWS;
— Развитие и совершенствование системы резервного копирования критичной инфраструктуры с использованием удалённого Proxmox Backup Server;
— Участие в разработке и дальнейшем развитии Disaster Recovery Plan;
— Участие в подготовке и реализации перехода на self-managed Kubernetes;
— Развитие и поддержка системы мониторинга на базе Prometheus и Grafana;
— Автоматизация рутинных и повторяющихся операций;
— Работа с инфраструктурой, управляемой с использованием Terraform (Infrastructure as Code);
— Поддержание актуальной технической документации, инфраструктурных схем, runbooks и инструкций по восстановлению.
Требования:
— Хорошее знание Linux;
— Уверенное понимание основ компьютерных сетей;
— Практический опыт работы с Docker;
— Опыт работы хотя бы с одним публичным облаком (AWS, GCP, Azure и др.);
— Практический опыт организации резервного копирования и восстановления данных;
— Базовый практический опыт работы с Kubernetes;
— Понимание Terraform и принципов Infrastructure as Code (IaC);
— Знание Bash и опыт автоматизации рутинных операций;
— Понимание Git и основных принципов CI/CD;
— Умение диагностировать и устранять инфраструктурные проблемы.
Будет плюсом:
— Опыт работы с Proxmox/PBS, observability и Disaster Recovery;
— Опыт эксплуатации self-managed Kubernetes;
— Опыт использования AI: понимание и проверка предложенных решений перед применением в production.
Условия:
— Уютный дизайнерский офис в пешей доступности от метро Арбатская или Кропоткинская или удаленный формат работы на выбор;
— Вкуснейший кофе, чай, фрукты, овощи, снэки и сладости;
— Компенсация расходов на спорт, английский язык и другие профессиональные курсы;
— Подарки на День Рождения, Свадьбу, рождение ребенка;
— Реферальная система — бонус за приведенного сотрудника;
— Возможность посещения конференций, вебинаров и других мероприятий для повышения профессиональных навыков;
— Работа без бюрократии и ненужных ритуалов.
Процесс отбора:
— HR интервью;
— Техническое собеседование;
— Оффер.
Задачи:
— Разработка и внедрение AI/ML возможностей в Oracle E-Business Suite 12.2.x на Oracle Cloud Infrastructure (OCI) для автоматизации финансовой отчетности, оптимизации пользовательского опыта и повышения операционной эффективности.
— Создание документа AI/ML Functional and Technical Use Cases для реализации AI-сервисов на OCI.
— Разработка дорожной карты перехода AI/ML и DevSecOps с поэтапным внедрением и передачей процессов от подрядчика к государству.
— Внедрение производственных AI/ML решений с использованием OCI Data Science, OCI Language, OCI Vision и AWS GovCloud.
— Интеграция REST API между AI/ML моделями и бизнес-процессами Oracle EBS для автоматизации поддержки принятия решений.
— Применение методов обработки естественного языка для анализа финансовых документов и автоматической генерации отчетов.
— Использование когнитивных наук для улучшения взаимодействия пользователей с AI-расширенными ERP процессами.
— Руководство исследованиями в области обучения, моделирования компетенций и когнитивных метрик для внедрения AI.
— Разработка метрик производительности для оценки эффективности использования AI в рабочих процессах.
— Применение методов обнаружения знаний и анализа данных к неструктурированным операционным данным для поддержки аудита и автоматизации.
— Активное участие в планировании и проведении Agile мероприятий (PI planning, daily standups, итерации).
— Создание пользовательских историй с критериями приемки и приоритизация задач совместно с Product Owner.
— Доставка рабочих AI/ML функций в двухнедельных итерациях с демонстрацией результатов.
— Устранение технических препятствий для внедрения AI, взаимодействие с ведущим инженером по системам.
— Согласование архитектурных решений AI/ML с общей архитектурой DAI и инфраструктурой OCI.
— Подготовка технической документации и материалов по передаче знаний для поддержки после окончания контракта.
— Содействие интеграции развертывания AI моделей в CI/CD пайплайн на платформах DevSecOps, одобренных DLA.
Требования:
— Минимум 5 лет опыта разработки AI/ML для корпоративных систем.
— Опыт работы с искусственным интеллектом, машинным обучением, обработкой естественного языка, обнаружением знаний и анализом данных на реальных операционных данных.
— Владение Java, C/C++ или Python с опытом написания производственного кода на одном из языков.
Условия:
— Работа в рамках программы Defense Agencies Initiative (DAI) для Defense Logistics Agency.
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do:
— Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
— Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
— Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
— Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
— Optimize performance, reliability, and cost of the ML platform
— Evaluate and integrate emerging Databricks features
— Stay ahead of the curve by engaging with the latest developments in machine learning and AI
— Serve as senior ML technical advisor to Faire’s data science and production engineering teams
— Represent Faire at ML conferences and meetups
— Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes:
— 10-12 years of experience building and improving large-scale ML or data platforms
— A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
— Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
— Proven ability to design systems that support multiple data science teams and production workloads
— Strong background in distributed systems, ML infrastructure, and cloud architecture
— Demonstrated technical leadership across teams and orgs; ability to influence without authority
— Experience integrating LLM workflows into enterprise platforms is a plus
— Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack:
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
— Languages: Python, SQL, Kotlin
— ML Frameworks: PyTorch, PySpark, MLFlow
— Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
— Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
— Generative AI: Claude Sonnet 4.5, ChatGPT 5.2
Conditions:
Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada.
Salary Range:
$248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.
Задачи:
— Создавать и поддерживать платформу наблюдаемости, которая собирает телеметрию клиентов — события, логи и трассировки — с использованием OpenTelemetry и лучших отраслевых практик
— Разрабатывать возможности дашбордов и визуализации для команд поддержки и полевых команд, обеспечивая видимость состояния системы в реальном времени, выявление проблем и трендов, а также помогать клиентам сохранять устойчивость в масштабе
— Проектировать и реализовывать систему уведомлений и оповещений, основанную на данных телеметрии и эвристиках с использованием AI-агентов и lakehouse-интеллекта
— Писать инфраструктуру как код с помощью Helm и Terraform для упрощения развертывания и эксплуатации внутри Dremio
— Создавать и поддерживать фреймворки приложений, стандартизирующие разработку между командами, решая сквозные задачи, такие как внедрение зависимостей и контроль доступа на основе ролей в масштабе
— Сотрудничать с командами SRE и DevOps для определения лучших практик и предоставления стандартизированных решений для общих инженерных рабочих процессов
— Взаимодействовать с сообществом разработчиков для понимания их проблем и превращения этих знаний в улучшения платформы
— Помогать определять и реализовывать дорожную карту и этапы интеграции с платформой SAP HANA/BDC для обеспечения единого опыта
Требования:
— Степень бакалавра, магистра или выше в области компьютерных наук или смежной области
— Опыт работы в разработке программного обеспечения не менее 5 лет
— Опыт работы с Java не менее 2 лет
— Опыт работы с инфраструктурой как кодом (Helm, Terraform или эквивалент) не менее 2 лет
— Глубокий опыт работы с одной из основных облачных платформ (AWS, Azure или GCP)
— Практический опыт работы с OpenTelemetry или аналогичными платформами наблюдаемости
— Опыт работы с Kubernetes и Docker
— Хорошее понимание основ сетевых технологий (TCP/IP, DNS, HTTP)
— Желание изучать новые технологии и умение решать сложные задачи
Преимущества:
— Опыт создания SaaS микросервисов и распределённых систем
— Опыт работы с многопоточными или асинхронными моделями программирования
— Владение NoSQL базами данных (MongoDB, RocksDB) или Redis
— Опыт работы с CI/CD инструментами (Jenkins, ArgoCD)
— Знание других языков программирования, таких как C++, Go, Python, Node.js, Rust и др.
— Опыт в обработке запросов, распределённых системах, контроле конкуренции, репликации данных или системах хранения
— Опыт настройки Java GC/heap, Apache Arrow, SQL операторов или оптимизации путей данных
Условия:
— Удалённая работа из Португалии или другого места
— Полная занятость
Компания Dremio — это платформа lakehouse для самообслуживания аналитики и ИИ, использующая открытые технологии, включая Apache Iceberg и Apache Arrow, обеспечивающая гибкость и скорость получения инсайтов при снижении затрат.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. Enterprise Systems improves how Enterprise operates so Rioters can focus on building magic for players instead of navigating broken processes and fragmented systems.
As
Senior Manager, Enterprise Engineering & Process Excellence
, you will lead two horizontal capabilities that the rest of Enterprise Systems depends on: Enterprise Software Engineering, which designs, builds, and operates new technical capabilities for Enterprise, and Business Process Excellence, which assesses, redesigns, instruments, and continuously improves enterprise processes. The portfolio includes custom applications, the company directory and organizational data APIs, and integrations with business systems.
You will manage a multidisciplinary team of software engineers and business systems analysts. This is not a traditional enterprise systems role.
We are building a function that reimagines enterprise engineering and process excellence for an AI-enabled organization. We use process mining and telemetry to continuously improve how work gets done, integration and automation with AI to reduce manual effort, and purpose-built applications to create capabilities that differentiate Riot
. You will connect what the business needs, how processes should work, and how technology can deliver improvements.
You will partner closely with leaders across People Tech, Finance Tech, and Enterprise Data & AI, as well as business stakeholders in Enterprise functions.
The role reports to the Director, Enterprise Systems.
Responsibilities:
Software Engineering
Set the strategy and technical direction for enterprise software engineering, integration, and automation.
Lead the design, development, and operation of reliable applications, APIs, integrations, and automations that support critical enterprise capabilities.
Establish strong engineering practices across architecture, testing, CI/CD, observability, security, reliability, and production support.
Develop the Integration & Automation Center of Excellence through reusable patterns, shared platforms, governance, and enablement across Enterprise Systems.
Business Process Excellence
Build and lead a modern process excellence practice that uses process mining, telemetry, and AI-enabled tools to identify, prioritize, and measure improvement opportunities.
Lead the redesign of complex, cross-functional enterprise processes, translating business needs into clear requirements and scalable solutions.
Establish practical standards for process ownership, governance, measurement, and continuous improvement.
Partner with business and technology leaders to deliver measurable improvements in cycle time, quality, automation, and Rioter experience.
People Leadership, Delivery & Partner Management
Build and develop a multidisciplinary team of software engineers and business systems analysts, creating shared accountability from process discovery through production delivery.
Manage priorities, delivery, and external partners across the portfolio, communicating outcomes, risks, and trade-offs clearly to business and technology leaders.
Required Qualifications:
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field, or equivalent practical experience delivering enterprise technology solutions.
12+ years of progressive experience across software engineering, enterprise platforms, process excellence, or technology-enabled transformation.
8+ years of experience managing software engineers, business systems analysts, or multidisciplinary technical teams.
Experience owning the technical quality, architecture, and operational health of a portfolio of enterprise applications, APIs, and platforms, and designing new software capabilities that solve business and process problems.
Strong understanding of modern software engineering practices, including code review, automated testing, CI/CD, observability, security, reliability, and production operations.
Experience with cloud/data platforms such as AWS, GCP or Databricks; programming languages such as Go, or TypeScript; and modern application frameworks such as Next.js.
Proven experience in business process assessment, redesign, modeling, governance, and continuous improvement.
Experience using process data, telemetry, process mining, or operational analytics to identify opportunities and measure improvements.
Experience managing complex, cross-functional projects or portfolios involving business, engineering, data, and operational stakeholders.
Strong written and verbal communication skills, including the ability to explain technical and process concepts to business, technical, and executive audiences.
Desired Qualifications:
Experience applying AI or agentic AI tools to enterprise process problems: process discovery, requirements generation, intelligent automation, or AI-augmented decision-making.
Experience with process excellence methodologies such as Lean or Six Sigma and process mining, intelligence, or modeling tools such as Celonis, ARIS, Signavio, or UiPath, to drive data-informed process improvement.
Experience with enterprise integration and automation IPaaS platforms such as Workato, MuleSoft, Boomi, or similar technologies.
PMP, PgMP, or equivalent project management certification, or demonstrated equivalent experience running a delivery function.
Familiarity with major enterprise SaaS platforms, and their integration ecosystems.
Experience building or scaling a Center of Excellence or Community of Practice around integration, automation, or process standards.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Palo Alto, California, United States, San Francisco, California, United States
Director of Engineering, Clinical AI & Care Delivery
Location:
San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco or Palo Alto office
About Midi Health:
Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause.
Technology is central not only to the patient experience, but to how our clinicians deliver exceptional care at scale. We believe AI will fundamentally reshape care delivery — reducing administrative burden, improving clinical workflows, and giving providers better tools to focus their time where it matters most: with patients.
The Role:
We’re looking for a Director of Engineering, Clinical AI & Care Delivery to lead the engineering teams behind the systems and tools that power Midi’s clinicians, medical assistants, and care workflows.
This is a true player-coach role at the intersection of AI, healthcare, and software engineering. You’ll lead and develop a high-performing engineering team while staying close to the technology — shaping architecture, reviewing code, experimenting with AI and agentic systems, and helping your team solve complex problems.
You’ll also be a senior engineering partner to Product, Clinical, Operations, Data Science, and other leaders across Midi. We expect our engineering leaders to think beyond their immediate teams and help shape how technology and AI can transform care delivery as Midi scales.
What You’ll Own:
Lead the engineering roadmap and execution for Midi’s clinician-facing tools, care delivery systems, clinical workflows, and AI-powered automation.
Identify opportunities to use AI and agentic systems to automate workflows, augment clinicians, and improve the efficiency and quality of care delivery.
Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards.
Stay hands-on through architecture decisions, code reviews, prototyping, and AI-assisted development.
Partner closely with Product, Clinical, Operations, and Data Science to translate complex care delivery problems into scalable technical solutions.
Drive engineering quality, velocity, reliability, and operational health across your area.
Hire, mentor, and develop engineers and engineering leaders as the organization grows.
Collaborate with engineering leaders across Midi on architecture, technical strategy, and company-wide engineering priorities.
Help define how Midi uses AI and modern development tools to fundamentally rethink how healthcare is delivered.
What We’re Looking For:
Deep software engineering foundation.
You’ve spent meaningful time as a senior individual contributor building sophisticated applications and systems.
Proven engineering leadership.
You have 5+ years of engineering management experience and have led organizations of 10+ engineers.
Player-coach mindset.
You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions.
Applied AI experience.
You’ve recently used AI coding agents or AI/LLM technologies to build something meaningful and have a practical understanding of what these technologies can — and cannot — do.
Strong systems thinking.
You can take complex, multi-step human workflows and think creatively about how technology and AI can make them dramatically better.
Executive-level communication and judgment.
You can confidently partner with senior technical, clinical, and operational leaders and communicate complex tradeoffs clearly.
Exceptional cross-functional instincts.
You naturally build trust with stakeholders who may approach problems very differently from an engineer.
First-principles thinking.
You ask the right questions, communicate clearly, and align early rather than building in isolation.
Strong ownership mindset.
You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them.
Nice to Have:
Experience with AI/ML engineering, LLM-powered products, agentic systems, or workflow automation.
Experience building internal tools or software for complex operational users.
Experience with Python, Django, React, and AWS.
Experience in healthcare or another highly regulated environment.
Familiarity with EHRs such as Athenahealth, clinical workflows, or HIPAA-regulated systems.
Experience building AI products where accuracy, reliability, human oversight, and trust are critical.
Why Midi:
This is an opportunity to work at the frontier of AI and healthcare while solving very real problems for clinicians and patients today.
You’ll help determine how Midi uses technology to scale exceptional care — from automating repetitive workflows to building entirely new ways for clinicians and AI to work together.
If you’re excited about building exceptional engineering teams, staying close to the technology, and applying AI to some of healthcare’s hardest operational problems, we’d love to hear from you.
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-JA1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Palo Alto, California, United States, San Francisco, California, United States
Director of Engineering, Growth & Consumer
Location:
San Francisco Bay Area | Hybrid, 2 days/week in our San Francisco OR Palo Alto office
About Midi Health:
Midi Health is transforming healthcare for women in midlife, delivering expert, personalized care through a virtual-first platform built around the needs of women in perimenopause and menopause.
We’re growing quickly, and technology is at the center of how we reach more patients, create an exceptional care experience, and scale access to high-quality care nationwide. We’re looking for leaders who are excited to build at that intersection of healthcare, technology, and consumer experience.
The Role:
We’re looking for a Director of Engineering, Growth & Consumer to lead the engineering teams behind Midi’s patient experience — from the moment someone first discovers Midi through registration, onboarding, booking, and ongoing engagement with their care.
This is a true player-coach role. You’ll lead and develop a high-performing engineering team while staying close to the technology: shaping architecture, reviewing code, using AI coding tools, and helping your team solve hard problems.
You’ll also be a senior engineering partner to Product, Marketing, Design, Data Science, and Clinical leaders. We expect our engineering leaders to think beyond their immediate teams, contribute to company-wide technical decisions, and help shape how we build as Midi scales.
What You’ll Own:
Lead the engineering roadmap and execution for Midi’s consumer and growth experiences, including registration, onboarding, appointment booking, patient engagement, prescription and supplement commerce, and growth loops.
Build and lead high-performing engineering teams with a culture of ownership, accountability, speed, and high technical standards.
Stay hands-on with the technology through architecture decisions, code reviews, prototyping, and AI-assisted development.
Partner closely with Product, Marketing, Design, and Data Science to translate business and patient needs into scalable technical solutions.
Drive engineering quality, velocity, reliability, and operational health across your area.
Hire, mentor, and develop engineers and engineering leaders as the organization grows.
Collaborate with engineering leaders across Midi to make thoughtful decisions for the broader technology organization — not just your individual area.
Help define how Midi uses AI and modern development tools to fundamentally improve how software is built.
What We’re Looking For:
Deep software engineering foundation.
You’ve spent meaningful time as a senior individual contributor building sophisticated applications and consumer-facing experiences.
Proven engineering leadership.
You have 5+ years of engineering management experience and have led organizations of 10+ engineers.
Player-coach mindset.
You’re comfortable operating at the leadership level while remaining technically credible and close enough to the work to help your team make better decisions.
Strong product and consumer instincts.
You understand that great engineering isn’t just about technical elegance — it’s about building experiences that drive meaningful outcomes for users and the business.
Executive-level communication and judgment.
You can confidently partner with senior leaders, navigate ambiguity, influence direction, and communicate technical tradeoffs clearly.
Exceptional cross-functional instincts.
You naturally build trust with Product, Design, Marketing, Data Science, and other non-engineering partners.
AI-native approach to engineering.
You’ve recently built or shipped something meaningful using AI coding agents and have a practical understanding of how AI is changing what engineering teams can accomplish.
First-principles thinking.
You ask the right questions, communicate clearly, and align early rather than building in isolation.
Strong ownership mindset.
You close loops, take accountability for outcomes, and step into problems rather than waiting for someone else to solve them.
Nice to Have:
Experience leading Growth Engineering, Consumer Engineering, Martech, or digital commerce teams.
Experience building high-scale consumer products where conversion, engagement, retention, or experimentation are core to the business.
Experience with Python, Django, React, and AWS.
Experience working in healthcare, fintech, or another regulated environment.
Experience building experimentation platforms, personalization systems, or AI-powered consumer experiences.
Why Midi:
This is an opportunity to build technology that directly impacts how women access healthcare — at a company experiencing significant growth and still early enough that engineering leaders can have an outsized impact.
You’ll have the opportunity to shape not only the products patients use, but also how Midi’s engineering organization operates, scales, and takes advantage of a rapidly changing technology landscape.
If you’re energized by building consumer experiences, developing exceptional engineering teams, and rethinking what’s possible with AI-native software development, we’d love to hear from you.
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $230,000-325,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-JA1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Remote
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
Position Overview
As a Security Engineer (Pre‑Sales) at Vectra.ai, you will blend deep technical expertise with strong customer‑facing skills to build trust, influence architectural direction, and drive successful outcomes for our clients. You’ll guide prospects through technical discovery, articulate how Vectra’s AI‑driven detection and response platform solves their most critical security challenges, and deliver compelling demonstrations and proofs‑of‑concept that showcase our value.
Responsibilities
Pre-Sales support and Technical Account Management associated to your Regional Sales Managers
Walk customers and partners through demos and problem solving in clear, concise matter by being the subject matter expert on all things Vectra.
Communicate cross functionally constantly to ensure all key stakeholders are in the loop in order to insure best-of-breed products, tools and documentations.
Develop and maintain an in-depth technical knowledge of the Vectra product line.
Identify new opportunities by creating and developing strong technical relationships with customers and channel partners.
Maintain knowledge at a high technical level of the current security landscape.
Collaborate with Customers on Technology reviews, product findings, and integration with other technologies they may have.
Collaborate with other Vectra Engineers on high-level projects to deliver Vectra technologies to our customers.
Explore and maintain knowledge of Vectra's key competitors.
Participate in deployment review and forecast calls.
Participate in design review and release meetings.
Travel as needed within region.
Experience and soft skills
Startup DNA is a must: willing and able to do "whatever it takes" with motivation to find solutions rather than admire the challenge.
Customer-first behavior is a must.
Ability to work hands-in-hands with your Sales counterpart (RSM)
.
5+ years' experience in a Technical Account Management or Security Engineering role supporting US federal agencies.
Large account management experience is required.
Active Security Clearance (Top secret or above preferred)
Technical qualifications
Deep understanding of security-focused product lines (CASB, EDR, SIEM or forensics-type platforms) with the ability to translate into value and security best practices.
Strong knowledge in networking and ability to understand L3 to L7 OSI layers.
String written (RFP) and verbal communications (Pre-sales presentations and conferences) are a must.
Good understanding of an attacker progression (Red Team or Pentest). Certifications such as CEH, OSCP, OSCE is a plus.
Good understanding of Incident Response (Blue Team) methodologies. Certifications such as GNFA is a plus.
Good understanding of Cloud Security and Network Architectures. Certifications such as AWS Certified Security Specialty (SCS-C01) is a plus.
Good understanding of Security Processes and methodologies. Certifications such as CISSP is a plus
Vectra provides a comprehensive total rewards package
that
supports
the
financial,
physical, mental and overall health of
our employees
and their families.
Compensation includes competitive base pay, incentive pla
n eligibility, and participation in the employee equity plan (stock options).
Specific benefits
offered
var
ies
by location, but commonly in
clude
health care insurance
,
income protection
/ life insurance
,
access to retirement
savings
plans, behavioral &
emotional
wellness
services
, generous time away from work,
and
a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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 17M 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 to $220,000 base plus bonus and equity
What You’ll Do:
Huntress is looking for a highly strategic and collaborative Staff Software Engineer to drive the technical vision and architectural evolution of the Huntress Core Platform.
Our Core Platform contains the foundational components that power the entire Huntress product suite, including the notification system, onboarding, authentication, integrations, and APIs. While you will remain deeply hands-on developing the most complex features for the platform, your scope expands beyond standard delivery. You will act as the technical anchor for your team, solving our most complex scaling challenges and eliminating cross-team dependencies. You will design the systems that empower all other engineering teams to build faster and more securely, acting as a technical thought leader who ensures our architecture anticipates future growth as we scale to
protect the 99%
.
Responsibilities:
Design, implement and mentor engineers on the most complex features the team builds
Partner directly with the Engineering Manager to steer the team’s technical direction, improve overall team function, and set the standard for engineering excellence
Take ownership of cross-team dependencies, actively collaborating with multiple engineering teams to eliminate roadblocks and ensure smooth feature delivery.
Drive the Architectural Decision Record (ADR) process for major technical changes that impact the wider codebase or require alignment across multiple functions
Focus on the entire lifecycle of the system, including evolution, configuration and technical risk management
Mentor and coach engineers across the team, acting as a positive role model who promotes collaboration and engagement
What You Bring To The Team:
10+ years of experience developing complex software products, with a proven track record of acting as the senior technical anchor for a team
5+ years of programming in Ruby on Rails, ideally with experience managing and scaling large monoliths
Strong architectural experience, including a history of driving technical design decisions (ADRs) and managing system lifecycles, configuration and technical risk
Experience with AWS or other public cloud environments, Linux-based infrastructure and advanced database management at scale
Excellent technical, diagnostic, and troubleshooting skills
Ability to grasp new tools and technologies quickly
Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently
Demonstrated ability to take highly ambiguous requirements or multi-team initiatives and decompose them into actionable work for the team
Exceptional communication skills, with the ability to build strong relationships and coordinate smoothly across multiple teams, product managers, and leadership
Experience partnering directly with Engineering Managers or Product Leaders to set team-level technical strategy and balance tech debt with product delivery
Experience with AI coding tools and workflows, with the ability to help the wider team adopt them effectively, responsibly, and pragmatically
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.
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
Задачи:
— Развивать и поддерживать IT-инфраструктуру.
— Администрировать Linux/Windows, обеспечивать безопасность сетей.
— Настраивать мониторинг, резервное копирование и защиту от угроз.
Требования:
— Опыт системного администрирования и сетевой безопасности.
— Знание AWS, Bash, Prometheus, LXC, TCP/IP.
— Опыт работы с SIEM, виртуализацией и сетевой безопасностью.
— Английский уровень B2.
Условия:
— Полностью удалённая работа.
— Полный рабочий день.
— Оформление ИП/самозанятость или по договору ГПХ.
Задачи:
— Вести инфраструктурные инициативы end-to-end: от проектирования до внедрения и дальнейшей поддержки, включая переход от монолита к гибридной архитектуре;
— Развивать платформу на AWS и managed Kubernetes (EKS) и описывать всю инфраструктуру как код на Terraform;
— Выстраивать и улучшать CI/CD для крупного проекта с quality gates;
— Развивать observability и отвечать за стабильность продакшена в рамках ротации дежурств: инциденты, анализ первопричин, постмортемы;
— Работать напрямую с продуктовыми и платформенными командами: получать высокоуровневые требования и самостоятельно доводить их до результата.
Требования:
— Опыт работы DevOps / SRE с проектами, которые вы вели от начала до конца;
— Недавний практический опыт управления продакшен-инфраструктурой в AWS;
— Уверенное знание managed Kubernetes (развертывание, настройка и администрирование кластеров);
— Глубокий опыт с Terraform;
— CI/CD для крупных проектов с quality gates (GitLab CI или аналоги);
— Observability, автоскейлинг, безопасность и оптимизация затрат;
— Уровень английского B1+; свободное чтение технической документации обязательно.
Будет плюсом: опыт использования AI в работе с инфраструктурой.
Условия:
— Удаленный формат работы, часовой пояс - UTC+2 to UTC+4;
— B2B-контракт, оплата в USD на банковский счет, в криптовалюте или комбинированно;
— 30 оплачиваемых дней отдыха, включая праздники, плюс оплачиваемые больничные;
— Wellness-бюджет и бюджет на обучение, компенсация рабочего оборудования.
УдалённоseniorОсобенности найма: часовой пояс - UTC+2 to UTC+4; Удаленный формат работы, часовой пояс - UTC+2 to UTC+4
Задачи:
— внедрять и развивать архитектуру безопасности в AWS и Azure;
— отвечать за защиту внешнего периметра и вести полный цикл управления уязвимостями;
— выстраивать управление доступом в облаках, Active Directory и аудит Kubernetes;
— настраивать сбор событий безопасности и улучшать обнаружение угроз;
— внедрять безопасные настройки через Terraform;
— отвечать за безопасность внутренних и клиентских API;
Требования:
— от 6 лет опыта в инфраструктуре, облачными платформами или ИБ, из них от 3 лет с основным фокусом на безопасность;
— практический опыт работы с AWS и Azure в сложной инфраструктуре;
— глубокое знание Active Directory, IAM/PAM, SIEM и EDR;
— опыт с Terraform, Kubernetes, CI/CD и скриптами;
— опыт в регулируемых финансовых сервисах и практическое знакомство с защитой криптовалютных платежных систем
Задачи:
— Поддерживать и улучшать payment reports и dashboards
— Готовить аналитические отчёты и data extracts
— Мониторить payment performance, alerts и ключевые метрики
— Находить аномалии в платёжных данных и анализировать причины
— Проверять качество данных и consistency между источниками
— Работать с большими product и transactional datasets
— Автоматизировать recurring reports и analytical workflows
Требования:
— 1–3 года опыта в Data / Product Analytics
— Сильный SQL
— Практический Python для анализа данных и автоматизации
— Опыт с большими датасетами и BI dashboards
— Advanced Excel / Google Sheets
— Умение валидировать данные, находить inconsistencies и anomalies
— Внимательность к деталям, ownership mindset, быстрая обучаемость
— Опыт с Payment / transactional / billing / financial data (плюс)
— Опыт с Subscription, fintech, e-commerce, gaming или high-volume B2C (плюс)
— Опыт с AWS Athena / S3 (плюс)
— Опыт с Tableau / Superset / Looker (плюс)
— Опыт с автоматизацией отчётов (плюс)
— Интерес к AI tools (плюс)
Location: Belgrade; London; Berlin
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature.
The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces.
Responsibilities:
- Design and implement highly available, high-performance, and scalable systems.
- Design and implement various tools for other engineers helping them with their day to day job.
- Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration.
- Maintain and optimize key-value and relational databases.
- Scale and load balance web server backends to meet rapidly changing needs.
- Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues.
- Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance.
Qualifications:
- Strong experience with cloud infrastructure built on AWS.
- Proficient in database management and caching strategies.
- Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues.
- Experience working with containers (Docker, Kubernetes) and orchestration tools.
- Excellent communication and collaboration skills.
- Experience with Python and Terraform.
- 3+ years of DevOps/SRE/System Administration experience.
Location: Belgrade; London; Berlin
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature.
The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces.
Responsibilities:
- Design and implement highly available, high-performance, and scalable systems.
- Design and implement various tools for other engineers helping them with their day to day job.
- Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration.
- Maintain and optimize key-value and relational databases.
- Scale and load balance web server backends to meet rapidly changing needs.
- Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues.
- Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance.
Qualifications:
- Strong experience with cloud infrastructure built on AWS.
- Proficient in database management and caching strategies.
- Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues.
- Experience working with containers (Docker, Kubernetes) and orchestration tools.
- Excellent communication and collaboration skills.
- Experience with Python and Terraform.
- 3+ years of DevOps/SRE/System Administration experience.
Задачи:
- Разрабатывать, обучать и оптимизировать ML/AI-модели на PyTorch или TensorFlow
- Проектировать end-to-end пайплайны обработки и подготовки данных
- Работать с синтетическими данными и автоматизацией разметки
- Интегрировать AI/ML-модели с backend и другими компонентами продукта
- Подготавливать модели к production-деплою и масштабированию
- Настраивать процессы мониторинга, версионирования и экспериментов с использованием MLOps-инструментов
- Контейнеризировать ML-процессы с помощью Docker
- Работать с облачной инфраструктурой AWS или аналогами
- Участвовать в оптимизации inference и производительности моделей
- Взаимодействовать с инженерами и другими участниками AI-команды на всех этапах разработки
- Определять техническое направление AI-проектов, принимать ключевые архитектурные решения и обеспечивать техническое руководство командой на всех этапах разработки.
Требования:
- Опыт 4+ года коммерческого опыта в Machine Learning / AI Engineering
- Практический опыт разработки и внедрения ML-моделей в production
- Английский (свободный)
- Уверенное понимание основ Machine Learning и Deep Learning
- Знание методов оптимизации моделей и ключевых ML-метрик
- Практический опыт с MLOps (MLflow/Kubeflow/AWS SageMaker или аналогичные)
Условия:
- Формат: Full-time
- Локация: Ташкент (Офис)
- Официальное трудоустройство по ТК УЗ
- Занятость: полный рабочий день
ОфисleadТашкент
ГибридseniorSpecific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting
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