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Staff Software Engineer - Backend

8 - 13 years

10 - 15 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

MerQube is a cutting-edge fintech firm, specializing in the development of advanced technology for indexing and rules-based investing. We offer innovative solutions for designing and calculating complex, rules-based strategies. Founded in 2019 by a team of index industry veterans and technology experts, MerQube provides a tech-focused alternative in the indexing space, with offices in New York, San Francisco, Bangalore and London.

MerQube designs and calculates a wide variety of indices, including thematic, ESG, QIS, and delta one strategies, spanning multiple asset classes such as equities, futures, and options. Leveraging cloud-based architecture and advanced index-tracking technology, our platform enables clients to bring new ideas to market swiftly and efficiently.

Summary

Are you keen to work in an environment that s stimulating and convivial with countless opportunities for growth and plenty of freedom to make a real impactThis could be the place for you!

We are looking for our next Staff Backend Engineer based in Bangalore, India. Supported by and reporting to the Director of Engineering, you will be joining a friendly and growing team to disrupt the Index space and participate in the next phase of our growth.

What will you do

As part of the Platform Engineering team, you will design, build and operate large scale services leveraging public clouds to build an industry leading platform for financial indices. The platform supports onboarding new customers, ingesting and processing large amounts of data from a variety of sources and computing a variety of financial indices.

We are looking for self-driven engineers who are comfortable working in a collaborative and fast paced environment with attention to detail. You will work closely with functional teams to build and improve MerQubes index computation and management systems, internal and external index management and research tools, and data dissemination systems.

What the position requires:


  • Bachelor s Degree in Computer Science, Engineering or equivalent work experience.

  • 8+ years experience building production services using Python/Go/C++/Java

  • Experience designing, building and operating complex features as part of a team.

  • Familiarity with public cloud environments (GCP/AWS) or a strong desire and aptitude to ramp-up on them.

  • Experience developing complex backend applications

  • Experience leading an engineering team to deliver a project

  • SQL, database modeling

Preferred Qualifications


  • Experience with pandas, numpy, scipy

  • Familiarity with data processing pipelines and workflows (Apache Airflow or similar)

  • Flask, UWSGI, OpenAPI, Pydantic

  • Docker, Helm, Kubernetes, EKS

We believe in creating and preserving an environment of collaboration and growth for all team members, and take steps every day to promote inclusivity, wellness, and fun. With these commitments in mind, we are proud to offer:


  • Competitive compensation packages

  • Stellar full-time benefits, including medical, dental, vision, and more

  • Flexible working arrangements, including opportunities to work remotely

  • Community-first environment (we want your colleagues to be your friends!)

  • Focus on health, wellness, and work-life balance

  • Opportunities to learn, develop, and grow

  • PTO, holiday, and sick time

Equal Opportunity Employer

MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you re the best person for the job, we want you on board!

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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