Platform Engineer

Global technology company with 35+ years of experience, specializing in intelligent document processing and AI solutions.
DevOps
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
2+ years of experience
AI · Enterprise SaaS

Description For Platform Engineer

ABBYY is a global technology leader with over 35 years of experience in intelligent document processing and AI solutions. With a team of 600+ colleagues across 15 countries and 30+ nationalities, ABBYY has established itself as an innovative force with over 140 technology patents.

The Platform Engineer role offers an exciting opportunity to work on cutting-edge ML infrastructure while developing core platform engineering skills. You'll be part of a customer-centric organization serving over 10,000 customers, including numerous Fortune 500 companies like DHL, Johnson & Johnson, and Spotify.

As a Platform Engineer, you'll be responsible for implementing and maintaining ML system components, managing cloud infrastructure, and developing monitoring solutions. The role combines hands-on technical work with collaborative team activities, including code reviews and documentation.

The ideal candidate will have strong software engineering fundamentals, Python expertise, and experience with cloud platforms. You'll work in a flexible environment that values work-life balance, offering both remote and hybrid working options. ABBYY's culture emphasizes respect, transparency, and simplicity, with strong team environments consistently rated as top engagement drivers.

Join ABBYY to be part of a company that's transforming the capture market with the first low-code/no-code IDP platform, recognized by top analyst firms including Gartner and Everest PEAK Matrix ® Assessment. You'll have the opportunity to work with cutting-edge technologies in ML, Natural Language Processing, and Computer Vision while contributing to solutions that serve industry leaders worldwide.

Last updated 2 months ago

Responsibilities For Platform Engineer

  • Implement and maintain platform components for ML systems
  • Build and update infrastructure automation scripts
  • Develop monitoring and logging solutions
  • Support CI/CD pipeline maintenance
  • Assist in troubleshooting platform issues
  • Write automated tests and documentation
  • Help maintain cloud infrastructure for ML workloads
  • Implement infrastructure as code solutions
  • Support container deployment and management
  • Assist in platform monitoring and alerting
  • Help optimize resource utilization
  • Participate in on-call rotations

Requirements For Platform Engineer

Python
Linux
Kubernetes
  • Bachelor's degree in Computer Science or related field
  • 2+ years of software engineering experience
  • Experience with cloud platforms and services
  • Understanding of distributed systems concepts
  • Strong programming skills in Python
  • Experience with cloud services and Linux systems
  • Basic knowledge of containerization and CI/CD
  • Familiarity with monitoring and logging systems
  • Understanding of infrastructure automation
  • Version control with Git
  • Strong analytical and problem-solving skills
  • Good communication abilities

Benefits For Platform Engineer

Medical Insurance
Parental Leave
  • 18 Days of Paid Time Off Annually
  • Medical, Accidental, and Life Insurance
  • Weekly Wellness Sessions
  • Monthly Healthcare Allowance
  • Flexible working hours
  • Two paid volunteering days off annually
  • Paid parental leave

Interested in this job?

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