Senior Software Engineer, Data Ingestion (C++, Linux, Kafka)

Posted 16 Hours Ago
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Hyderabad, Telangana
Senior level
Cloud • Software • Database
There is a better way for you to shape the future of your organization by using technology that harnesses your data.
The Role
As a Senior Software Engineer in Data Ingestion at SingleStore, you will work on building and optimizing systems software, focusing on data ingestion from distributed sources like Apache Kafka. You'll collaborate in small teams to enhance performance and contribute throughout the product lifecycle, involving coding, testing, and gaining insights into both product and business.
Summary Generated by Built In

Senior Software Engineer, Engine (Data Ingestion) 

Position Overview

SingleStore Software Engineers are at the forefront of real-time technology that’s revolutionizing how companies run their businesses every day. With release cycles throughout the year, our engineers are accustomed to moving quickly in a rapid production environment. To do this successfully, we work collaboratively and creatively across teams to maximize our opportunity for impact. We also believe it’s important to celebrate our wins together whether it be at local spot or getting out of the city for some exploring.

As a Software Engineer, you will be empowered to own your projects end-to-end and be an active contributor throughout the product life cycle. To expedite your growth path, you will partner with engineers who deeply care about your success and will lend their expertise to your professional development. Our engineers are not just technical partners but are also business partners who are exposed to all areas of the business, working with teams such as product, marketing, and sales.

Role and Responsibilities

Our Software Engineers work on small, collaborative teams to help drive our company forward. As a software engineer on the database engine team, you will have the unique benefit of building systems software in a rapid production environment with a small and collaborative team. Whether you’re increasing the performance of a SingleStore cluster, or writing new C++ code for the query optimizer, our engineers are responsible for brand new and existing projects that are deployed into production with each release. Your work will include everything from writing to testing software, and you’ll gain a significant understanding of both the product and the business.

Required Skills and Experience

  • Experience of 5 or more years
  • B.S. Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related discipline
  • Deep understanding of C.S. fundamentals.
  • Strong system programming skills.
  • Strong proficiency in C/C++ programming on Linux.
  • Experience with data ingestion from distributed sources like Apache Kafka.
  • Familiarity with working with data file formats such as Avro, Parquet, JSON, CSV, and others.
  • Strong understanding of Linux system programming concepts.
  • Knowledge of multithreading, memory management, and performance optimization in large-scale systems.
  • Additional experience with Java, Python, and SQL.
  • Passionate about building highly reliable software
  • Firm grasp of algorithms and data structures
  • Experience building database and knowledge of DB internals is a plus

Other:

  • Employment Status: Full Time Employment
  • Location/Working classification: Hybrid Role
    • Required to work from Hyderabad office 1 day a week

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.


Top Skills

C
C++
The Company
HQ: San Francisco, CA
400 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

SingleStore helps businesses adapt more quickly, embrace diverse data and accelerate digital innovation by operationalizing all data through one platform for all of their moments that matter. These capabilities are provided as a service in AWS, Azure, and GCP and through your own deployments with SingleStore Managed Service and SingleStore DB. Visit www.singlestore.com or follow us on Twitter @SingleStoreDB.
Founded in 2011, SingleStore delivers innovative breakthroughs for modern data workloads spanning transactions, analytics and AI for leading businesses undergoing digital transformation. Backed by GV (formerly Google Ventures), Glynn Capital, Accel, Caffeinated Capital, Data Collective and IA Ventures. SingleStore employs over 200 people across its offices in Portland, San Francisco, Seattle, Silicon Valley, Lisbon, London and the Ukraine.
As a converged data platform leader, with hundreds of customers including more than half of the world’s top 10 banks, two of the top three telcos, and 12 of the Fortune 50. In 2019, the company introduced the world to Helios, now called SingleStore Managed Service, its cloud database available in AWS, GCP and Azure. SingleStore is proud to work with leading partners such as IBM/Red Hat, Virtusa, FiServ, InfoSys, and Tata to deliver innovative solutions to customers.

Why Work With Us

SingleStore is designed for the world’s SaaS builders, data leaders and digital disruptors. Brands like Hulu, Uber, Comcast and more choose SingleStore to reduce operational and design burdens of their real-time analytical applications to supercharge limitless data experiences. That means riders quickly connect with their drivers.

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