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职位MongoDB

Senior Consulting Engineer

MongoDB

Senior Consulting Engineer

MongoDB

Sydney

·

On-site

·

Full-time

·

2mo ago

福利待遇

Parental Leave

Remote Work

必备技能

Database design

Performance tuning

Linux

Kubernetes

Java

C#

Python

Node.js

Ruby

Go

MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth!

MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!

MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.

Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. You will have abundant opportunities to meaningfully impact the growth of our business in your region.

This role will be based remotely in Sydney.

Candidate Profile

We’re looking for a highly technical individual, with strong problem-solving and communication skills, who is comfortable working closely with customers.

Our ideal candidate will have

  • Deep, demonstrable expertise in data platform design and operational excellence, including data modeling, performance tuning, and scaling for at least one major database (e.g., MongoDB, PostgreSQL, SQL Server, Oracle).

  • Proven ability to function as a trusted technical advisor by combining strong verbal and written communication skills with hands-on problem-solving ability. Confidence speaking and presenting in a collaborative customer setting

  • Strong, hands-on proficiency in Linux system use and diagnostics. Additionally, practical experience deploying and managing databases using Kubernetes (k8s)/Containers.

  • 10+ years of software development/consulting experience, preferably in a number of distinct industries/verticals

  • Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations

  • Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go.

  • Should be capable and comfortable with frequent travel for short trips to customer site during the working week

Position Expectations

As a core member of the MongoDB Professional Services team, you will

  • Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning, and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption

  • Deliver customer classroom-based training to architect, developer, and operations roles

  • Work as part of a wider delivery team comprising fellow consulting engineers, project managers, and account teams

  • Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future

  • Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap

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.

Requisition ID
4263349045

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关于MongoDB

MongoDB

MongoDB

Public

MongoDB, 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+

员工数

New York

总部位置

$24.0B

企业估值

评价

2.6

10条评价

工作生活平衡

3.2

薪酬

3.8

企业文化

2.8

职业发展

2.9

管理层

2.4

35%

推荐给朋友

优点

Great team environment and culture

Supportive management and mentorship

Good compensation and benefits

缺点

Poor leadership and decision-making

Declining sales culture and difficult quotas

Limited advancement opportunities

薪资范围

30个数据点

Mid/L4

Senior/L5

Mid/L4 · Manager Marketing Analytics and Operations

1份报告

$114,266

年薪总额

基本工资

$99,362

股票

-

奖金

-

$114,266

$114,266

面试经验

8次面试

难度

3.1

/ 5

时长

14-28周

体验

正面 0%

中性 88%

负面 12%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design