Lead Backend Data Engineer
Montevideo, Montevideo Department, Uruguay
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and build scalable Java backend systems for data-intensive workloads
Lead architecture of distributed, multi-service systems for reliability and performance
Build and maintain big data pipelines for high-volume ingestion and processing
Manage Kubernetes deployments, scaling policies, and resource management
Mentor junior and mid-level engineers on backend and performance practices
From the employer’s posting
Design and build scalable backend systems using Java
Lead the architecture and implementation of distributed systems
Build and maintain big data pipelines and infrastructure
Manage containerized workloads using Kubernetes
Mentor junior and mid-level engineers on backend best practices
What you’ll bring
All qualificationsCore experience
- 5+ years in backend engineering with distributed and multi-threaded systems
- Deep Java proficiency and advanced language features
- Concurrency, multi-threading, and thread synchronization expertise
- Hands-on experience with Apache Spark and Apache Airflow
- Strong SQL skills for queries and schema design
Qualification wording
5+ years of experience in Backend Engineering
Deep proficiency in Java with strong understanding of advanced language features
Solid expertise in concurrency patterns, multi-threading, thread synchronization
Hands-on experience with Apache Spark and Apache Airflow
Strong SQL expertise with ability to design and optimize database queries and schemas.
Tools in this posting
- Java
- SQL
- AWS
- GCP
- Grafana
- Kafka
- Kubernetes
- Spark
- Terraform
- Airflow
Source — Tool mentions in context
What is this position about? - Design and build scalable backend systems using Java, with deep expertise in production-grade application development. - Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.
Qualifications - Deep proficiency in Java with strong understanding of advanced language features and best practices. - Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics.
- Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki. - Spring Framework or other modern Java backend frameworks is a plus. - Kafka or event-streaming architectures is a plus.
- Proven hands-on experience designing and implementing distributed systems at scale. - Strong SQL expertise with ability to design and optimize database queries and schemas. - Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration.
📚 Learning opportunities: - AWS Certifications (we are AWS Partners). - Study plans, courses and other certifications.
- GitLab CI, Jenkins (Groovy), or similar CI/CD tools is a plus. - GCP or other cloud platforms is a plus. - AI-assisted development tools (GitHub Copilot, Claude, etc.) is a plus.
- Experience with system profiling, performance analysis, and optimization techniques. - Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki. - Spring Framework or other modern Java backend frameworks is a plus.
- Spring Framework or other modern Java backend frameworks is a plus. - Kafka or event-streaming architectures is a plus. - Reactive programming frameworks or reactive systems design is a plus.
- Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale. - Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads. - Mentor junior and mid-level engineers on backend best practices, system design, and performance optimization techniques.
- Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration. - Practical knowledge of Kubernetes for container orchestration and service management. - Experience with system profiling, performance analysis, and optimization techniques.
- Strong SQL expertise with ability to design and optimize database queries and schemas. - Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration. - Practical knowledge of Kubernetes for container orchestration and service management.
- Apache Pinot or similar analytical data stores is a plus. - Terraform or Infrastructure as Code is a plus. - GitLab CI, Jenkins (Groovy), or similar CI/CD tools is a plus.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 18, 2026 · 41 days ago
- Recorded sightings
- 106
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
What is this position about?
- Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
- Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.
- Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns, locks, barriers, and atomic operations for high-performance, data-intensive systems.
- Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale.
- Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads.
- Mentor junior and mid-level engineers on backend best practices, system design, and performance optimization techniques.
- Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.
- Implement observability and monitoring solutions to ensure system health and performance visibility.
- Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives.
Qualifications
- Deep proficiency in Java with strong understanding of advanced language features and best practices.
- Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics.
- Proven hands-on experience designing and implementing distributed systems at scale.
- Strong SQL expertise with ability to design and optimize database queries and schemas.
- Hands-on experience with Apache Spark and Apache Airflow for data processing and pipeline orchestration.
- Practical knowledge of Kubernetes for container orchestration and service management.
- Experience with system profiling, performance analysis, and optimization techniques.
- Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki.
- Spring Framework or other modern Java backend frameworks is a plus.
- Kafka or event-streaming architectures is a plus.
- Reactive programming frameworks or reactive systems design is a plus.
- Apache Pinot or similar analytical data stores is a plus.
- Terraform or Infrastructure as Code is a plus.
- GitLab CI, Jenkins (Groovy), or similar CI/CD tools is a plus.
- GCP or other cloud platforms is a plus.
- AI-assisted development tools (GitHub Copilot, Claude, etc.) is a plus.
What about languages?
English: Advanced (required for effective communication with global teams)
How much experience must I have?
5+ years of experience in Backend Engineering or related disciplines such as Systems Engineering or Full-Stack Development, with demonstrated expertise in distributed systems and multi-threaded application design.
Additional Information
Our Perks and Benefits:
Every day lunches! (headquarters):
- Vegetarian, vegan, gluten and sugar free options.
- Gourmet meals every Friday with our on-site chef!
⚖️ Flexible working options to help you strike the right balance.
💻 All the equipment you need to harness your talent (Macbook and accessories).
🍎 Snacks and beverages available everyday (headquarters).
🎉 After office events, football, tennis and game nights (headquarters).
⚽ Everyone is welcome to join our football league every Wednesday's and Friday's.
🎱 Challenge your teammates to a pool game and win the office's trophy!
🎾 Tennis courts available for friendly matches.
🎮 Not a sports person? Don't worry, we also have chess championships, game and music nights for you to join!
📚 Learning opportunities:
- AWS Certifications (we are AWS Partners).
- Study plans, courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
🧭 Mentoring and Development opportunities to shape your career path.
🎁 Anniversary and birthday gifts.
📍 Great location and even greater teammates!
So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!
Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Lead Backend Engineer to contribute to our next level of growth and expansion
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Montevideo, Montevideo Department, Uruguay
- Vegetarian, vegan, gluten and sugar free options. - Gourmet meals every Friday with our on-site chef! ⚖️ Flexible working options to help you strike the right balance.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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