CrawlJobs Logo

Staff Software Engineer (Java Or Scala)

· Job Posted February 17, 2026
Apply Position
Job Link Share

Job Description

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance. The Replication Manager team is seeking passionate developers to enhance replication support for the Cloudera Data Platform. The team’s mission is to provide a seamless experience for customers moving data and associated entities to support migration, replication, and disaster recovery. Replication Manager enables customers to replicate data across data centers or between on-premises and cloud environments. This includes data in HDFS, Ozone, or cloud buckets; Hive, HBase, or Iceberg tables; Ranger permissions; and Atlas lineage. Datasets range from terabytes to petabytes, with challenges such as millions of directories, large file sizes, and near real-time HBase WAL replication.

Job Responsibility

  • Build and maintain large-scale replication systems on top of the Cloudera Data Platform stack
  • Be responsible for our products running in production
  • Work with a distributed team of engineers to design cloud-based, low RPO, RTO replication architectures
  • Support replication across multiple Cloudera components like HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger
  • Give and take actionable feedback
  • Mentor junior engineers
  • Work with product management and occasionally, with field engineers on the product roadmap and early access feature introductions

Requirements

  • Masters in Computer Science or related field and 4-6 years of experience
  • Bachelors and more than 6 years of relevant industry experience
  • 6-8 years of relevant industry experience
  • Strong backend engineering skill set with expertise in Java or Scala or Kotlin
  • Ability to read large codebases and write succinct, clean code
  • Experience with system software design and development

Nice to have

  • Experience with large-scale, distributed systems design and development with an understanding of scaling, replication, consistency, and high availability
  • Understanding of computer architecture, storage, network, and IO subsystems
  • Current expertise with Java/Scala/Kotlin developer ecosystems
  • Experience with AWS, Azure, or GCP
  • Test automation experience along with Python basics
  • Background in performance tuning, identifying performance bottlenecks, and implementing performance optimizations
  • Systems/DevOps experience

What we offer

  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Staff Software Engineer (Java Or Scala)

8 matching positions

Staff Software Engineer (Java or Scala)

The Data Platform Pillar is the bedrock of Cloudera’s technology, where we desig...
Location
Location
Hungary , Budapest; Szeged; Remote
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Masters in Computer Science or related field and 4-6 years of experience
  • Bachelors and more than 6 years of relevant industry experience
  • 6-8 years of relevant industry experience
  • Strong backend engineering skill set with expertise in Java or Scala or Kotlin
  • Ability to read large codebases and write succinct, clean code
  • Experience with system software design and development
Job Responsibility
Job Responsibility
  • Build and maintain large-scale replication systems on top of the Cloudera Data Platform stack
  • Be responsible for our products running in production
  • Work with a distributed team of engineers to design cloud-based, low RPO, RTO replication architectures
  • Support replication across multiple Cloudera components like HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger
  • Give and take actionable feedback
  • Mentor junior engineers
  • Work with product management and occasionally, with field engineers on the product roadmap and early access feature introductions
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Software Engineer (Java Or Scala)

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Masters in Computer Science or related field and 4-6 years of experience - or Bachelors and more than 6 years of relevant industry experience - or 6-8 years of relevant industry experience
  • Strong backend engineering skill set with expertise in Java or Scala or Kotlin
  • Ability to read large codebases and write succinct, clean code
  • Experience with system software design and development
Job Responsibility
Job Responsibility
  • Build and maintain large-scale replication systems on top of the Cloudera Data Platform stack
  • Be responsible for our products running in production
  • Work with a distributed team of engineers to design cloud-based, low RPO, RTO replication architectures
  • Support replication across multiple Cloudera components like HDFS, Ozone, Hive, HBase, Iceberg, Atlas, and Ranger
  • Give and take actionable feedback
  • Mentor junior engineers
  • Work with product management and occasionally, with field engineers on the product roadmap and early access feature introductions
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Spark (Java)

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Hungary , Budapest; Szeged
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years professional software development
  • Experience leading and delivering complex product enhancements
  • Strong understanding of at least one of the following languages: Java, Scala, Python
  • Experience with systems design, development
  • Passionate about programming, clean coding habits, attention to detail, and focus on quality
  • Strong oral and written communication skills
  • Strong ability to research and solve problems independently without constant supervision
  • Open-minded, desire to learn new things and build great products
  • Experience with distributed systems
Job Responsibility
Job Responsibility
  • Design new features for Cloudera’s data engineering experience, and take them from prototypes to leading a team to deliver the feature in production at scale
  • Contribute to Apache Spark, Livy
  • Develop new features in Scala/Java/Python on a modern platforms
  • Gain expertise in distributed data processing, from SQL planners and optimizers, to data layout and table formats like Apache Parquet and Iceberg, to fault tolerance in distributed systems
  • Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark
  • Get to work on large scale distributed systems, from 100s to 1000s of nodes, in production clusters
  • Debug system level deployment issues, root cause analysis, perform system test analysis and resolve failures
  • Work on improving internal infrastructure
  • Collaborate with other team members and stakeholders
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Software Engineer, Spark (Java)

At Cloudera, we empower people to transform complex data into clear and actionab...
Location
Location
Hungary , Budapest; Szeged
Salary
Salary:
Not provided
cloudera.com Logo
Cloudera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years professional software development
  • Experience leading and delivering complex product enhancements
  • Strong understanding of at least one of the following languages: Java, Scala, Python
  • Experience with systems design, development
  • Passionate about programming, clean coding habits, attention to detail, and focus on quality
  • Strong oral and written communication skills
  • Strong ability to research and solve problems independently without constant supervision
  • Open-minded, desire to learn new things and build great products
  • Experience with distributed systems
Job Responsibility
Job Responsibility
  • Design new features for Cloudera’s data engineering experience, and take them from prototypes to leading a team to deliver the feature in production at scale
  • Contribute to Apache Spark, Livy
  • Develop new features in Scala/Java/Python on a modern platforms
  • Gain expertise in distributed data processing, from SQL planners and optimizers, to data layout and table formats like Apache Parquet and Iceberg, to fault tolerance in distributed systems
  • Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark
  • Get to work on large scale distributed systems, from 100s to 1000s of nodes, in production clusters
  • Debug system level deployment issues, root cause analysis, perform system test analysis and resolve failures
  • Work on improving internal infrastructure
  • Collaborate with other team members and stakeholders
What we offer
What we offer
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups
  • Fulltime
Read More
Arrow Right

Staff Software Engineer (L4)

As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll ...
Location
Location
India
Salary
Salary:
Not provided
stytch.com Logo
Stytch
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec).
  • 8+ years of experience writing production-grade code in a modern programming language
  • Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems.
  • Experience programming in one or more of the following: Go, Java, Scala, or similar languages
  • Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts.
  • Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
  • Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink).
  • Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
  • Leverage best-in-class development productivity practices including AI tooling.
Job Responsibility
Job Responsibility
  • Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment.
  • Ship features that opt for high availability and throughput with eventual consistency
  • Collaborate with engineering and product leads, as well as teams across Twilio Segment
  • Support the reliability and security of the platform
  • Build and optimize globally available and highly scalable distributed systems
  • Be able to act as a team Tech Lead as needed
  • Mentor other engineers on the team in technical architecture and design
  • Partner with application teams to deliver end to end customer success.
What we offer
What we offer
  • Competitive pay
  • generous time off
  • ample parental and wellness leave
  • healthcare
  • retirement savings program
  • and much more.
Read More
Arrow Right

Staff Software Engineer

As a Staff Software Engineer, you’ll play a key role in improving how we build, ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep expertise in backend engineering and building large-scale distributed systems within a cloud environment preferably AWS (Azure, GCP also suitable)
  • Expert level mastery of Java or Kotlin, Scala, or similar JVM language
  • Data Layer Expertise – Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases, understanding when to use each
Job Responsibility
Job Responsibility
  • Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Staff Software Engineer I

We're not just building better tech. We're rewriting how data moves and what the...
Location
Location
United States , Austin
Salary
Salary:
235700.00 - 277000.00 USD / Year
confluent.io Logo
Confluent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of relevant experience
  • Strong fundamentals in distributed systems, cloud infrastructure, and networking
  • Experience in building and operating large-scale, high-availability systems
  • Deep understanding of cloud platforms (AWS, Azure, or GCP) and their services
  • Solid grasp of systems operations (disk, networking, OS-level optimizations)
  • Proficiency in Java, Scala, C++, Go, or other statically typed languages
  • A self-starter with strong problem-solving skills and the ability to work in a fast-paced environment
  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
Job Responsibility
Job Responsibility
  • Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud
  • Build foundational software to improve reliability, scalability, and efficiency across cloud environments
  • Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation
  • Collaborate with teams across Confluent to optimize and enhance infrastructure for real-time data streaming use cases
  • Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP)
  • Contribute to open-source projects and leverage open-source technologies to drive business impact
What we offer
What we offer
  • Remote-First Work
  • Robust Insurance Benefits
  • Flexible Time Away
  • Equity
  • Fulltime
Read More
Arrow Right

Staff Software Engineer - Data

Uber's mission is to reimagine the way the world moves for the better. Here, bol...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
  • Experience Level: 10+ years of hands-on experience in Data Engineering, with a proven track record of delivering results at a Staff Engineer level (or equivalent scope) at a premier technology company
  • Expert SQL Competency: 10+ years of hands-on, expert-level SQL experience
  • Data Modeling & Warehousing: Extensive experience designing dimensional data models (Star/Snowflake schemas) and data warehouses
  • Software Engineering Fundamentals: Proficiency in at least one high-level programming language (Java, Scala, Python, or Go)
  • Big Data Ecosystem: 10+ years of experience working with distributed data systems (Hadoop, Hive, Spark) and MPP databases (Vertica, Redshift, etc.)
  • End-to-End Architecture: Experience designing full-lifecycle data systems, including logging, ingestion (Batch/Stream), quality frameworks, and monitoring
  • Technical Leadership: Excellent written and verbal communication skills
  • Mentorship & Growth: A strong passion for driving engineering excellence and mentoring engineers
Job Responsibility
Job Responsibility
  • Own the Technical Vision: You will own and drive the technical roadmap for the Payments data ecosystem, balancing long-term architectural scalability with short-term business critical deliveries
  • Navigate Ambiguity: Actively identify strategically important problems and inefficiencies without waiting for instruction
  • Drive Alignment: See the big picture and drive consensus on complex technical decisions across the organization
  • Architect at Scale: Design and implement resilient, cost-effective, and high-scale batch and streaming pipelines that power critical support operations and financial analytics
  • Elevate Data Standards: Define and enforce robust data modeling standards, data contracts, and governance frameworks
  • Optimize & Automate: Identify opportunities to automate manual workflows (like SLA tracking and issue detection) and optimize infrastructure efficiency to lower TCO
  • Raise the Bar: Champion sustainable engineering practices
  • Be a Trusted Mentor: Serve as a humble mentor and technical advisor to both junior engineers and peer leaders
  • Force Multiplier: Act as a role model for judgment and responsibility
  • Fulltime
Read More
Arrow Right