Staff Backend Software Engineer

Posted 14 Days Ago
28 Locations
Remote
5-7 Years Experience
Machine Learning • Software
The Role
As a Staff Backend Software Engineer, you will contribute to architectural design and performance optimization while leading large engineering projects. Responsibilities include day-to-day development, code review, and proposing enhancements to improve product value.
Summary Generated by Built In

We are seeking an experienced Staff Backend Software Engineer to join our fully remote team. As a key player in our Engineering team, you will contribute to architectural design and will 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:

  • Day-to-Day Development and Code Review: Participate in daily software development activities and conduct code reviews to ensure high-quality code.
  • Project Leadership: Lead and drive 1-2 large projects, encompassing several tasks with 3-5 engineers, ensuring successful delivery, task decomposition, and clear communication of ETAs and challenges.
  • Architecture Design: Design and implement architectural solutions for complex problems, with a focus on scalability, reliability, and value for the users.
  • Propose Improvements: Proactively suggest enhancements to the product and software architecture to the CTO and Product team that can bring significant business value.

 

Our expectations:

  • Minimum of 6 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.
  • Experience in leading 3-5 people engineering teams.


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.

Top Skills

Java
Kotlin
Python
Rust
Scala
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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