Distributed Systems Engineer (Apache Big Data Internals) - Remote Work | REF#308570

BairesDev; Montenegro; Remote; BRL 329,000 - 493,000; Full time

Benefits offered by this job

Remote Work

USD or local currency compensation

Home setup provided

Flexible hours

Parental leaves & holidays

Job summary

Join BairesDev as a Distributed Systems Engineer focusing on Apache big data internals. Work on engines like Spark, Flink, Trino, and more, spanning query engines, storage layers, and metadata services at petabyte scales.

You will optimize engine internals, influence architecture for performance, and mentor engineers while collaborating with global teams on upstream contributions.

Qualifications

• 6+ years of experience in software development.
• Strong Java and/or Scala skills.
• Experience with distributed systems and concurrent or parallel programming.
• Working knowledge of internals of at least one Apache big data project: Spark, Flink, Trino, Ozone, Iceberg, Hive, NiFi, Kafka, Hadoop, HBase, Impala, or Kudu.
• Familiarity with JVM performance characteristics (GC, memory, threading).
• Advanced level of English.

Responsibilities

• Contribute production-grade code to Apache big data projects.
• Debug and optimize engine internals - query planning, distributed execution, scheduling, state management, replication, storage layers, and metadata services - at petabyte scale.
• Influence architectural direction for performance and scalability at the engine layer.
• Profile and tune JVM behavior (GC, memory layout, concurrency).
• Collaborate with cross-functional engineering teams and open source committers on integrations and ecosystem work.
• Mentor senior engineers and raise the engineering bar through code reviews and design critiques.

Skills

Java

Scala

Distributed systems

Concurrency

English

Tools

Spark

Flink

Trino

Ozone

Iceberg

Hive

NiFi

Kafka

Hadoop

HBase

Impala

Kudu

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Distributed Systems Engineer (Apache Big Data Internals) at BairesDev

We are seeking a Distributed Systems Engineer with experience in the internals of Apache big data projects to work on the engines themselves, not applications built on top of them. We have multiple openings across the ecosystem, including Spark, Flink, Trino, Ozone, Iceberg, Hive, NiFi, Kafka, Hadoop, and adjacent projects, and we match candidates to the role that best fits their depth. The work spans query engines, distributed runtimes, storage layers, streaming systems, and metadata services at petabyte and enterprise scale, with ample scope for upstream contribution.

What You'll Do

• Contribute production-grade code to Apache big data projects.
• Debug and optimize engine internals - query planning, distributed execution, scheduling, state management, replication, storage layers, and metadata services - at petabyte scale.
• Influence architectural direction for performance and scalability at the engine layer.
• Profile and tune JVM behavior (GC, memory layout, concurrency).
• Collaborate with cross-functional engineering teams and open source committers on integrations and ecosystem work.
• Mentor senior engineers and raise the engineering bar through code reviews and design critiques.

What We Are Looking For

• 6+ years of experience in software development.
• Strong Java and/or Scala skills.
• Experience with distributed systems and concurrent or parallel programming.
• Working knowledge of internals of at least one Apache big data project: Spark, Flink, Trino, Ozone, Iceberg, Hive, NiFi, Kafka, Hadoop, HBase, Impala, or Kudu.
• Familiarity with JVM performance characteristics (GC, memory, threading).
• Advanced level of English.

Nice To Have

• Upstream contributions to Apache big data projects; committer or PMC status is a strong plus.
• Experience operating distributed systems at petabyte scale in production.
• Experience with adjacent or comparable engines (PrestoDB, Impala, Druid, Pinot, ClickHouse, CockroachDB).
• Kubernetes and cloud-native deployment experience.
• Public technical presence (talks, blogs, OSS community leadership).

How we do 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!

#BD-PRIO-2026