채용
필수 스킬
Python
Java
AWS
Kubernetes
Go
MongoDB
GCP
Azure
Machine Learning
MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.
We are seeking a Senior Director, Engineering to join our growing Gurugram Product & Technology team where you will drive the technical vision, execution, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Position Expectations
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Lead and Manage the Engineering Team – Oversee engineering efforts to design, develop, and scale the new product, ensuring high performance, reliability, and efficiency
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Recruit and Build a High-Performance Team – Attract, hire, and mentor top-tier engineering talent, fostering a culture of innovation, collaboration, and technical excellence
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Define Product and Engineering Strategy – Collaborate with product, research, and engineering leaders to define the long-term vision, roadmap, and architecture of the new platform
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Ensure Operational Excellence – Drive best practices for monitoring, reliability, and performance in production
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Lead Architecture: Own the architectural vision for the platform, working with Senior engineers on the team, ensuring it runs equally well on public clouds, private cloud environments and on-premise
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Cross-functional leadership
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Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Remove roadblocks
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Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
Qualifications
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15+ years of engineering leadership experience, including managing multiple teams and scaling large, distributed systems
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Proven experience building and maintaining high scale serving platforms in production
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Deep expertise in distributed systems, large-scale data processing, and systems infrastructure
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Experience working with cloud-native architectures and platforms like AWS, GCP, Azure, and Kubernetes
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Excellent leadership, strategic thinking, and ability to influence cross-functional stakeholders
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Strong technical background in Python, C++, Java, or Go. Experience with AI and Machine Learning frameworks and SDKs is a plus
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Experience in hiring, mentoring, and scaling world-class engineering teams
Success Measures
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In the first month, you’ll have understood the surface area, the high level architecture of the new platform. You’ll have initiated one-on-ones with your team members
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By the second month, you will be deeply embedded in the recruiting and hiring process for growing the Product and Technology team in India and begun filtering resumes and interviewing candidates
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In three months, you’ll have fully on-boarded onto the team and contributed to the design of a core platform capability
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In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
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In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members Additionally, you’ll have contributed to the vision for the future of the platform and helped develop a plan to achieve that vision
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 1273397064
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MongoDB 소개

MongoDB
PublicMongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a database for unstructured data.
5,000+
직원 수
New York
본사 위치
$24.0B
기업 가치
리뷰
2.6
10개 리뷰
워라밸
3.2
보상
3.8
문화
2.8
커리어
2.9
경영진
2.4
35%
친구에게 추천
장점
Great team environment and culture
Supportive management and mentorship
Good compensation and benefits
단점
Poor leadership and decision-making
Declining sales culture and difficult quotas
Limited advancement opportunities
연봉 정보
30개 데이터
Mid/L4
Senior/L5
Mid/L4 · Design Program Manager
1개 리포트
$156,000
총 연봉
기본급
$120,000
주식
-
보너스
-
$156,000
$156,000
면접 경험
8개 면접
난이도
3.1
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 88%
부정 12%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
뉴스 & 버즈
MongoDB (NASDAQ:MDB) Downgraded by Wall Street Zen to Hold - MarketBeat
MarketBeat
News
·
3d ago
MongoDB Momentum Shift Sparks Curiosity Across Nasdaq Composite Space - Kalkine Media
Kalkine Media
News
·
4d ago
MongoDB (MDB) Surpasses Market Returns: Some Facts Worth Knowing - Yahoo Finance
Yahoo Finance
News
·
4d ago
MongoDB (MDB) director Merriman sells 12,000 shares in Rule 10b5-1 trades - Stock Titan
Stock Titan
News
·
4d ago