3 дня назад
Senior Backend Engineer II (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer II (AI): Building highly scalable and highly available distributed backend services for Apollo's SaaS sales platform with an accent on AI-native engineering, observability, and operational readiness. Focus on designing RESTful services, modeling databases, navigating unfamiliar codebases, and owning software delivery from architecture through maintenance.
Location: Hybrid, Bangalore
Company
is a SaaS go-to-market platform that provides verified B2B contact data and sales engagement tools for revenue teams.
What you will do
- Design and implement highly scalable, highly available backend services with monitoring and alerting.
- Ramp up in large, unfamiliar codebases, assess blast radius, de-risk changes, and ship reliable software.
- Use AI throughout development to generate and pressure-test approaches while verifying output quality.
- Own the full software lifecycle, including requirements, architecture, solution design, development, quality assurance, deployment, and maintenance.
- Partner with product managers and cross-functional teams to translate product needs into technical decisions and challenge specifications when needed.
- Write design documentation, mentor engineers, improve performance, and introduce valuable technologies and practices.
Requirements
- 5+ years of industry experience in backend development, including 3–4 years in senior positions.
- Experience building large-scale distributed web applications with observability, monitoring, and alerting.
- Strong computer science fundamentals, including data structures, algorithms, and object-oriented design.
- Experience with database modeling using SQL or NoSQL and designing RESTful services.
- Fluency with AI development tools and the judgment to verify, pressure-test, and take ownership of AI-assisted code.
- Strong communication, problem-solving, collaboration, planning, and product judgment skills.
Nice to have
- BS or MS in Computer Science, Computer Engineering, or a similar field.
- Experience with GCP, Kubernetes, Docker, Mongo, Redis, Ruby on Rails, microservices, or machine learning.
Culture & Benefits
- AI-native culture focused on continuous improvement, automation, and smarter ways of working.
- Open and collaborative environment with hands-on mentorship and knowledge sharing.
- Opportunities for growth, autonomy, experimentation, and meaningful ownership.
- Cross-functional collaboration with engineering, product, design, analytics, and other teams.
- Emphasis on quality, urgency, learning, bold ideas, and courageous action.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →