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AI & Software Engineering Senior Lead
Отличная вакансия в стабильной и титулованной компании (Ad Age Best Places to Work). Предлагает работу с передовыми технологиями (AI, LLM) для топовых мировых брендов и расширенный пакет льгот, включая годовые бонусы и поддержку обучения.
Сложность вакансии
Высокая сложность обусловлена требованием совмещать глубокую техническую экспертизу в backend-разработке (7+ лет) с навыками лидерства и опытом работы с современным стеком AI (LLM, LangChain). Роль подразумевает не только написание кода, но и архитектурное проектирование, а также менторство.
Анализ зарплаты
Зарплата не указана в вакансии, но для позиции Senior Lead в Далласе с фокусом на AI рыночные показатели значительно выше средних по IT-сектору. Учитывая престиж компании и сложность стека, можно ожидать предложение в верхней границе рыночного диапазона.
Сопроводительное письмо
I am writing to express my strong interest in the AI & Software Engineering Senior Lead position at PMG. With over 7 years of experience in backend development and a proven track record of leading engineering teams, I am excited about the opportunity to contribute to the evolution of your proprietary operating system, Alli, and drive technical excellence across your AI-powered toolset.
Throughout my career, I have specialized in building scalable microservices using Python and modern frameworks, while integrating advanced AI technologies like LangChain and OpenAI. My experience aligns perfectly with your need for a leader who can bridge the gap between complex architectural decisions and practical, high-quality execution. I am particularly drawn to PMG’s culture of innovation and your commitment to using AI to deliver measurable value for ambitious global brands.
I am a proactive problem-solver who thrives in collaborative environments, and I am eager to bring my expertise in system design, CI/CD, and mentorship to your talented team. Thank you for considering my application; I look forward to the possibility of discussing how my background in high-performance backend systems can support PMG’s continued growth.
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Откликнитесь в pmg уже сейчас
Присоединяйтесь к PMG, чтобы возглавить разработку инновационных AI-решений для мировых брендов уровня Apple и Nike!
Описание вакансии
We are PMG
Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.
Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.
Who You Will Be Working With
You’ll work alongside a mix of software engineers, data scientists, and product partners who build and maintain AI-powered tools used by teams across PMG. Day to day, you’ll collaborate with Engineering peers on architecture and quality, with Product on shaping what to build next, and with stakeholders who rely on these systems to make decisions and move work forward.
Because this is a senior lead role, you’ll also spend time coaching and influencing beyond your immediate team—supporting engineering managers, partnering with other senior technical leaders, and helping teams align on clear technical direction when the path is complex or high-stakes.
What You Will Be Doing
- Lead the development of mid-to-large scale software products, guiding work from early technical direction through delivery and long-term iteration.
- Design and evolve systems that are scalable, reliable, and maintainable—making thoughtful trade-offs around performance, cost, and operational support.
- Turn complex problems into clear plans, helping teams move from ambiguity to decisions, and from decisions to shipped, stable software.
- Set expectations for engineering quality through strong design reviews, code reviews, and practical standards that teams can follow consistently.
- Use sound judgment to challenge approaches that put reliability, security, or outcomes at risk—and propose better options with clarity and respect.
- Spot opportunities where a small change creates outsized impact (automation, shared tooling, simpler architecture, better developer workflows) and drive adoption.
- Partner with engineering managers to strengthen team performance—offering coaching, feedback, and support on execution, collaboration, and technical growth.
- Stay connected to emerging AI and software practices, bringing ideas back to the team when they can improve quality, speed, or user experience.
- Use AI and automation where it meaningfully improves the work—speeding up iteration, improving testing and observability, and reducing repetitive effort.
- Own the outcomes of your initiatives, ensuring the work delivers measurable value for the people and teams who depend on it.
What You Will Bring
- 7+ years of backend development experience, with a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience.
- 3+ years working with modern backend frameworks such as Django, Flask, Spring Boot, or Express.js.
- Proven experience designing and integrating RESTful APIs and microservices architectures.
- Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support.
- 3+ years of experience leading and mentoring other engineers to achieve technical excellence.
- Proficiency in backend languages like Python, Node.js, or Go, with a focus on clean and maintainable code.
- Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design.
- Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions.
- Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments.
- Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently.
- Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems.
- Strong expertise in monitoring tools such as Grafana, Prometheus, Datadog or ELK Stack for performance optimization and issue resolution.
- Strong written and verbal communication skills to collaborate effectively across cross-functional teams.
- A proactive, solution-oriented mindset with a passion for creating reliable and impactful backend systems.
- Interest or familiarity with the digital marketing industry and its backend solutions.
- Experience working with large language models (LLMs) or AI-driven backend tools.
- A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
- A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.
What We Offer
- Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
- Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
- Parental Leave: We provide paid parental leave to support your family during important life events.
- Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
- Fertility and Family Support: Access fertility benefits for all team members and their spouses.
- Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
- Pet Insurance: Protect your pet's health and your finances.
- Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
- Commuter Benefits: Access support for travel and commuting needs, where available.
- Annual Bonus: All employees are eligible for an annual bonus.
- Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
- AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.
Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.
What Sets Us Apart
Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.
In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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Навыки
- Python
- Node.js
- Go
- Django
- Flask
- Spring Boot
- Express.js
- PostgreSQL
- MongoDB
- Redis
- MySQL
- OpenAI
- LangChain
- Docker
- Kubernetes
- Terraform
- Ansible
- Git
- CI/CD
- RESTful API
- Microservices
- Grafana
- Prometheus
- Datadog
- ELK stack
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем и умения обосновывать архитектурные решения.
Расскажите о наиболее сложном архитектурном решении, которое вы принимали для масштабируемой backend-системы. Какие были компромиссы?
Оценка практических навыков интеграции ИИ в существующие продукты.
Как бы вы подошли к интеграции LLM в существующий микросервис, чтобы обеспечить надежность и контролируемую стоимость эксплуатации?
Проверка лидерских качеств и умения развивать команду.
Опишите случай, когда вам нужно было направить команду в новом техническом направлении, с которым они были не согласны. Как вы действовали?
Оценка навыков обеспечения качества кода в большой команде.
Каковы ваши критерии идеального процесса code review и проектирования (design review) для команды Senior-уровня?
Проверка опыта работы с данными и оптимизации производительности.
С какими проблемами производительности баз данных вы сталкивались при работе с высоконагруженными системами и как их решали?
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