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Senior Consultant, Engineering
Отличная вакансия для опытных инженеров с лидерскими амбициями. Предлагает четкий путь карьерного роста, бюджет на обучение и работу с современным стеком технологий.
Сложность вакансии
Роль требует не только глубоких технических знаний полного стека и облачных платформ, но и значительного опыта в консалтинге и управлении командами. Высокая планка задана в области использования AI-инструментов в разработке.
Анализ зарплаты
Предлагаемая роль Senior Consultant в США обычно оплачивается в диапазоне $140,000 - $180,000 в год в зависимости от региона (Нэшвилл или Ричмонд). Учитывая требования к консалтинговому опыту и AI-компетенциям, позиция находится в верхнем сегменте рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Consultant, Engineering position at UDig. With over 7 years of experience in full-stack development and a proven track record of technical leadership in consulting environments, I am excited about the opportunity to serve as a player-coach for your engineering teams. My background in architecting cloud-native solutions and my proactive approach to integrating AI-native delivery practices align perfectly with UDig’s innovative mission.
Throughout my career, I have specialized in bridging the gap between complex technical requirements and business objectives. I have extensive experience with AWS and Azure, building robust CI/CD pipelines, and mentoring junior developers to maintain high engineering standards. I am particularly drawn to UDig’s commitment to professional development through the Elevate program and look forward to contributing to high-impact client projects while fostering a culture of continuous learning and AI-driven efficiency.
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Откликнитесь в udig уже сейчас
Присоединяйтесь к UDig, чтобы возглавить разработку инновационных AI-решений и поднять свою карьеру на новый уровень!
Описание вакансии
Lead. Innovate. Grow. Make an Impact.
At UDig, Senior Consultants don’t just contribute to delivery — they drive it. You’ll lead engineering teams as a player-coach, shape technical solutions for complex client problems, and set the standard for how modern, AI-native delivery looks on an engagement. This is a role for engineers who want to lead without leaving the craft behind.
Why Top Consultants Choose UDig:
- Career Growth — Own your path with UDig Elevate, offering a clear trajectory for career growth and leadership opportunities.
- Consulting with Purpose — Contribute to real solutions that directly impact clients from your first day.
- Flexibility & Balance — Hybrid work environment with opportunities for high-caliber in-person collaboration.
- Investment in You — $1,500 annual training budget, mentorship, and hands-on learning.
- Competitive Compensation — Strong salary, performance-based bonuses, and career progression.
- Comprehensive Benefits — PTO, parental leave, 401(k) match, health, dental, vision, and more.
What You’ll Do:
- Lead engineering teams in a player-coach capacity — writing and reviewing code, making key technical decisions, and developing the consultants around you.
- Architect and deliver full-stack, cloud-native solutions across software and data domains, setting standards the team executes against.
- Champion AI-native delivery practices on your engagements: establishing AI-assisted workflows, setting quality thresholds for AI-generated output, and operating as the human above the loop on critical paths.
- Facilitate technical design sessions, architecture reviews, and client-facing whiteboarding to align stakeholders and drive decisions.
- Conduct rigorous code reviews that enforce engineering standards and serve as a genuine learning tool for junior team members.
- Drive agile delivery — backlog refinement, sprint planning, retrospectives, and demos — with an eye toward outcomes, not just process.
- Build trusted relationships with client technical leads and project sponsors, translating engineering tradeoffs into business language.
- Establish and maintain a shared definition of done across software, data, and design workstreams — running cross-functional ceremonies and driving structured tradeoff decisions using architecture docs, estimates, and delivery plans.
- Contribute reusable patterns, frameworks, and documentation that accelerate future UDig engagements.
What You’ll Bring:
- 6–9 years of software engineering experience, with demonstrated progression into technical leadership.
- Prior experience in a technology consulting environment is required — you know how to build relationships, manage expectations, and tailor solutions to clients.
- Fluency across the full engineering stack: backend APIs, frontend frameworks, cloud infrastructure, and data systems; comfortable across multiple languages and platforms.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, containerization, and infrastructure-as-code practices.
- Working knowledge of data engineering contexts — pipelines, warehousing, and how data-aware systems are built — sufficient to lead across both software and data workstreams.
- Demonstrated command of AI-native development: you actively orchestrate AI tools to accelerate delivery, govern their output with appropriate quality gates, and coach others on effective use. You understand the tradeoffs, not just the possibilities.
- Proven experience mentoring and elevating engineers, with the ability to give direct, constructive feedback.
- Strong communication skills — able to hold a technical conversation with engineers in the morning and a strategic conversation with client leadership in the afternoon.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Join UDig — Where Consulting Meets Innovation.
UDig is a technology consulting firm dedicated to delivering high-impact solutions that have driven client success for over 20 years. Our team collaborates directly with clients, taking a consultative approach to turning complex challenges into successful projects that deliver business value. By harnessing expertise, innovation, and connections, we achieve extraordinary outcomes across multiple verticals.
At UDig, we’re more than consultants — we’re problem solvers, mentors, and innovators. If you’re ready to dig into your first career chapter and build alongside people who take the craft seriously, let’s talk.
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Навыки
- AWS
- Azure
- GCP
- CI/CD
- Docker
- Kubernetes
- Infrastructure as Code
- Agile
- Software Architecture
- Full-stack Development
- Data Engineering
- Generative AI
Возможные вопросы на собеседовании
Вакансия требует опыта в консалтинге. Важно понять, как кандидат управляет ожиданиями заказчика при возникновении технических сложностей.
Опишите ситуацию, когда вам пришлось объяснять клиенту необходимость изменения архитектурного решения, которое могло повлиять на сроки или бюджет.
UDig делает упор на AI-native разработку. Вопрос проверяет практический опыт использования AI для оптимизации процессов.
Как вы интегрируете AI-инструменты в свой ежедневный рабочий процесс разработки и как вы обеспечиваете качество кода, сгенерированного нейросетями?
Роль предполагает позицию 'player-coach'. Нужно оценить навыки наставничества.
Расскажите о вашем подходе к проведению код-ревью. Как вы используете этот процесс для профессионального роста младших коллег?
Требуется опыт работы с данными и облаками.
С какими основными проблемами вы сталкивались при построении cloud-native систем, объединяющих программную инженерию и инженерию данных?
Проверка навыков приоритизации в Agile-среде.
Как вы находите баланс между написанием собственного кода и выполнением лидерских обязанностей (планирование, архитектурные сессии) в рамках спринта?
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