Backend Engineer III

Jobtailor

California (MO)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced backend engineer to drive scalable services across CrowdStrike products. You will lead rapid prototyping through large-scale deployments, designing fault-tolerant systems and owning end-to-end delivery.

Expect collaboration across teams, on-call incident response, and mentoring peers in best practices. Candidates should have 5+ years of experience in distributed systems, a CS degree or equivalent, and proficiency in Go/Scala/Java/Node.js/Python.

Qualifications

  • 5+ years of professional software development experience.
  • Degree in Computer Science or commensurate experience in data structures/algorithms/distributed systems.

Responsibilities

  • Lead backend engineering efforts from rapid prototypes to large-scale applications.
  • Design, develop, document, test, deploy, operate and enhance large-scale, resilient services.
  • Take ownership and be accountable for deliverables.
  • Work on cross-team platform-level initiatives and projects.
  • Troubleshoot production issues during on-call rotations; implement solutions.
  • Triage system issues and debug impacts on service operations.
  • Mentor other developers on web, backend and data storage technologies.
  • Continuously re-evaluate the product to improve architecture and performance.

Skills

Backend engineering
Distributed systems
Java
Go
Scala
Node.js
Python
Team collaboration
Code reviews
Production deployments
AI in tooling

Education

Bachelor's degree in CS or related field

Tools

Go
Scala
Java
Node.js
Python

Job description

Responsibilities
  • Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.
  • Design, develop, document, test, deploy, operate and enhance large-scale, resilient and fault-tolerant services.
  • Take ownership and be accountable for deliverables.
  • Work on cross-team platform-level initiatives and projects.
  • Troubleshoot critical production issues during on-call rotations and implement solutions.
  • Triage system issues and debug by analyzing the sources of issues and the impact on service operations.
  • Be mentored and mentor other developers on web, backend and data storage technologies and our system.
  • Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
Requirements
  • 5+ years of professional software development experience, with a focus on large-scale distributed systems and internet-scale challenges.
  • Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
  • Expert knowledge of any of the following backend languages: Go, Scala, Java, Node.js or Python (We use Go extensively).
  • The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
  • The desire to ship code and the love of seeing your bits run in production.
  • Deep understanding of distributed systems and scalability challenges.
  • Team player skills – we embrace collaborating as a team as much as possible.
  • A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
  • The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
  • The ability to troubleshoot and pinpoint system failures across a broad pipeline of services.
  • The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Core Competencies

Demonstrates expertise in backend development with a focus on large-scale distributed systems, utilizing languages such as Go, Scala, Java, Node.js, or Python. Proven ability to troubleshoot system failures, implement scalable solutions, and mentor team members in engineering best practices.

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