Staff Software Engineer Scala
BairesDev
Job Overview
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Job Description
Staff Software Engineer Scala at BairesDev
At BairesDev®, with over 15 years leading technology projects, we deliver cutting-edge solutions to industry giants like Google and innovative Silicon Valley startups. Our diverse team of over 4,000 members, comprising the world's Top 1% of tech talent, works remotely on roles that drive significant global impact. Applying for this position is the first step in a process designed to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
We are seeking a Staff Software Engineer Scala with deep Scala expertise and a comprehensive understanding of distributed data processing systems. You will move beyond writing performant code to define the architecture of stream and batch processing infrastructure, leveraging your cross-team influence to ensure these decisions are adopted. This role involves contributing to open-source data platform technology utilized by leading enterprises worldwide, where your architectural insight and technical leadership will shape the platform's evolution.
What You’ll Do
- Lead the design and development of distributed data processing systems in Scala, focusing on scalability and long-term reliability.
- Define technical direction for stream and batch processing infrastructure across engineering teams.
- Apply deep knowledge of distributed systems internals to guide architecture decisions and resolve complex challenges.
- Drive JVM performance strategy and optimization practices across the data platform.
- Collaborate with stakeholders and engineering teams to deliver impactful, lasting platform improvements.
- Mentor engineers and lead cross-team initiatives that raise the technical standard of the data platform.
What We Are Looking For
- 7+ years of experience in IT roles.
- 5+ years of experience with Scala as a primary language in distributed systems or data platform engineering.
- Expert knowledge of distributed systems architecture and large-scale data processing design.
- Deep experience with stream or batch processing internals and the frameworks that power them.
- Strong JVM performance expertise applied to production data processing systems.
- Apache ecosystem contribution experience is a plus.
- Demonstrated ability to lead cross-team technical initiatives and influence engineering direction.
- Advanced proficiency in English.
How we make your work (and your life) easier
- Remote Work.
- Excellent compensation in USD or your local currency if preferred.
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Join a global team where your unique talents can truly thrive and make a significant impact! Apply now!
Key skills/competency
- Scala
- Distributed Systems
- Data Processing
- Stream Processing
- Batch Processing
- JVM Performance
- System Architecture
- Technical Leadership
- Apache Ecosystem
- Scalability
How to Get Hired at BairesDev
- Research BairesDev's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their remote-first, top-tier talent focus.
- Tailor your resume for Staff Software Engineer Scala: Highlight extensive Scala experience (5+ years), expertise in distributed systems, data processing, and JVM performance. Quantify architectural impact and leadership roles.
- Showcase distributed systems expertise: Prepare to discuss deep knowledge of stream/batch processing internals, system architecture, and real-world examples of scaling reliable data platforms in Scala.
- Emphasize leadership and influence: Provide examples of leading cross-team technical initiatives, mentoring engineers, and defining technical direction, demonstrating your ability to drive significant platform improvements.
- Prepare for technical deep-dives: Expect rigorous interviews on Scala best practices, distributed data processing challenges, system design, and JVM optimization techniques for high-performance systems.
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