Engineering Manager - Data Engineering
Bengaluru, India
Carousell Group
Company Description
About Carousell Group
Carousell Group is the leading multi-category platform for secondhand in Greater Southeast Asia on a mission to make secondhand the first choice. Founded in August 2012 in Singapore, the Group has a leading presence in seven markets under the brands Carousell, Carousell Media Group, Cho Tot, Laku6, LuxLexicon, Mudah.my, OneShift, REFASH and Revo Financial, serving tens of millions of monthly active users. Carousell is backed by leading investors including Telenor Group, Rakuten Ventures, Naver, STIC Investments, 500 Global and Peak XV Partners (formerly known as Sequoia Capital India). Visit here for more information.
We are looking for a passionate engineer to join the Platform Engineering team. The role can be based in any of our development centres, Singapore and India.
Job Description
About the role
We are looking for a deeply technical, customer-focused, empathetic Engineering Manager to join us in India or Taiwan on this exciting journey. You will manage a talented team of Software Engineers while partnering with Product Managers, Data Scientists and Analysts. Being the owner of platforms, tools and solutions built the team - constantly improving the current ones and building new ones and also responsible for planning and stakeholder management.
You will:
Lead the development of high-quality, impactful, scalable platforms, tools and solutions that delight the users and achieve business goals
Operate these systems in production at high availability and reliability levels, while minimizing infrastructure cost
Build deep knowledge in the Data domain and related platform engineering. Use it to build innovative features for our users.
Hold your team to high standards in engineering and quality practices, speed of delivery, architecture and design, and code quality
Attract, develop and retain great engineers, who thrive working in an innovative, user-focused, fast-paced environment
Work closely with engineering managers and engineers across multiple platforms and domains.
Set clear measurable goals for your team delivery and engineers
Foster a culture of continuous growth and improvement through coaching, mentoring, feedback and clear measurable outcomes.
- Contribute to improving and scaling the engineering organization. Mentor engineers in the organization, imparting technical knowledge, industry best practices and leadership skills.
You will have demonstrated:
Attitudes and Behaviors
User obsession and empathy.
Focus on impact and results. You work on the right things and get them done
Functional Skills
10+ years of industry experience, including 2+ years experience as a hands-on, engineering manager.
Good knowledge of open source, cloud-native software and distributed systems in various programming languages. Go preferred as that’s what we use, but not required.
Strong CS foundation and practical experience with software development, architecture and design. Excellent knowledge of distributed system concepts, problems and solution patterns.
Experience working with the following software architectures, techniques and technologies: Data Ingestion and processing bulk/streaming, Data Governance, Columnar storage, vector handling, MLOps, microservices, Prometheus, Kafka, and PostgreSQL.
Business and product mindset. Ability to identify, evaluate and convey engineering and technology choices and trade-offs.
Drive and resourcefulness to persevere and overcome obstacles to achieving challenging goals.
- Good technical judgment. Willingness and ability to take smart risks and fail forward.
Ability and motivation to roll up the sleeves and dive deep to help the team
Track record of successfully solving complex and ambiguous problems.
High integrity and ability to positively collaborate with others.
Ability to speak and write succinctly and clearly.
Additional Information
Good to have
Exposure working with Kubernetes and Service Mesh architecture
Experience building and leading platform teams
By proceeding with your application, you are adhering to our PDPA policies. In case you are interested to know more, read about our Candidates Personal Data Privacy Statement.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data governance Distributed Systems Engineering Kafka Kubernetes Microservices MLOps Open Source PostgreSQL Privacy Streaming
Perks/benefits: Career development Startup environment
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