Senior Software Engineer – Workload Optimization

Overview

Job Description

Responsibilities

• - Automates workload resource management by dynamically adjusting resource allocations
• - Helps developers significantly reduce costs and improve application reliability

Required Skills

• - Strong software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you’re willing to transition to it)
• - Strong debugging, optimization, and performance-tuning skills
• - Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure, and tools such as Kubernetes for containerization and orchestration
• - CI/CD and DevOps practices experience
• - Strong English skills, both verbal and written
• - Ability to work independently and collaboratively within a team
• - Startup mindset: adaptable, proactive, and comfortable with ambiguity
• - A proactive, problem-solving mindset with a “yes we can” attitude.

Benefits

• - Competitive salary
• - Enjoy a flexible, remote-first global environment
• - Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• - Equity options
• - Private health insurance
• - Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks
• - Spend 10% of your work time on personal projects or self-improvement
• - Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills
• - Annual hackathon to spark new ideas and strengthen team bonds
• - Team-building budget and company events to connect with your colleagues
• - Equipment budget to ensure you have everything you need
• - Extra days off to help maintain a healthy work-life balance