Senior Backend Software Engineer

Sorry, this job was removed at 07:40 p.m. (CST) on Tuesday, Nov 05, 2024
28 Locations
Remote
Internship
Machine Learning • Software
The Role

We are seeking a Senior Backend Software Engineer to join our fully remote team. As a vital member of our Engineering team, you will contribute to the development of new features and have an impact on how we develop our product. This role demands a deep understanding of distributed systems, performance optimization, and the ability to drive significant business value through technical solutions.


Our tech stack (the bigger the overlap, the better):

  • Languages: Rust, JVM (Java, Spring, Scala, Kotlin), Python.
  • Data: ClickHouse, Kafka, Elasticsearch, Redis, MySQL.
  • Cloud platforms: Microsoft Azure, Google Cloud Platform (GCP).
  • DevOps tools: Kubernetes, Terraform, Helm.
  • Others: Protobufs, gRPC, Swagger.

 

Responsibilities:

In this role, you will be:

  • building an application that is:
    • Scalable: we aim to be the standard for data scientists and ML engineers around the world – there’s quite a few of them;
    • Portable: we offer both SaaS and on-prem installations. There are times when we need to be very lightweight;
    • Flexible: Machine Learning is a very fast-paced field; we often need to adapt;
  • choosing the tools we use. We’ll lean on your knowledge and expertise to select the best technologies and tools for a given task;
  • participating in defining our application’s architecture;
  • implementing new features and improving the existing ones.

 

You might be a fit if you have:

  • Minimum of 4 years of professional software development experience.
  • Strong proficiency in algorithmic thinking and problem-solving.
  • Passion for performance optimization, both on architecture & component level.
  • Extensive experience in designing and implementing distributed systems, including:
    • Large-scale data processing in near real-time;
    • Ensuring the consistency and integrity of data across multiple storage systems;
    • Building systems with high reliability, robustness, and resilience.
  • Concise and logical communication, both written and verbal.
  • Ability to balance business goals with technical purity, especially when adapting to high-paced, shifting priorities.

 

We offer:

  • Flexibility: 100% remote work with offices (co-works) in Warsaw/Wrocław/Poznań/Kraków available and flexible working hours;
  • Share in our success: Participate in the Employee Stock Option Plan and be part of our growth journey;
  • Time off: 20 paid service-free days per year;
  • Ownership and impact: Space to take action, bring your ideas to life, and make a real impact.


Any questions?

Check our ultimate guide for candidates to the neptune.ai Engineering team.

Don’t hesitate to contact our Talent Acquisition team, and check out our About us page to get to know the story and faces behind Neptune.



By applying, you consent for neptune.ai to process your personal data to assess your suitability for the role you have applied for in accordance with the General Data Protection Regulation (GDPR). Your personal data will remain confidential and shared only with authorized personnel involved in the recruitment process. You have the right to access, rectify, or delete your personal data at anytime.
With your optional consent, we can retain your data for up to 12 months after the application to consider you for future suitable roles if you’re not a match for the current position.

The Company
Palo Alto, California
73 Employees
On-site Workplace
Year Founded: 2017

What We Do

neptune.ai makes it easy to log, store, organize, compare, register & share 𝗮𝗹𝗹 𝘆𝗼𝘂𝗿 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹 𝗺𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗶𝗻 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗹𝗮𝗰𝗲. - Automate and standardize as your modeling team grows. - Collaborate on models and results with your team and across the org. - Use hosted, deploy on-premises or in a private cloud. Integrate with any MLOps stack. 𝗧𝗮𝗸𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗼𝘂𝗿 𝗼𝗳 𝗮 𝗽𝘂𝗯𝗹𝗶𝗰 𝗻𝗲𝗽𝘁𝘂𝗻𝗲.𝗮𝗶 𝗽𝗿𝗼𝗷𝗲𝗰𝘁: https://bit.ly/3pSS1dZ

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