Senior System Engineer focused on Linux and Kubernetes at Transatel. Developing and maintaining infrastructure solutions for connectivity services with high availability demands.
About the role
- Engineering Manager leading Data Core Processing team at Warner Bros. Discovery. Focusing on building enterprise-grade data platforms and ensuring operational excellence across distributed data systems.
Responsibilities
- Lead, mentor, and grow a team of 6–10 software and data engineers, fostering a culture of collaboration and engineering excellence
- Define and execute the technical roadmap for data processing infrastructure
- Design and build scalable data pipelines for structured, semi-structured, and unstructured data
- Develop systems supporting both real-time and batch data processing at scale
- Ensure data quality, reliability, and consistency across pipelines
- Optimize system performance and manage infrastructure costs effectively
- Oversee development of orchestration frameworks and data processing workflows
- Implement metadata management, data cataloging, and enrichment capabilities
- Establish monitoring, alerting, and observability frameworks for data systems
- Ensure compliance with data governance, privacy, and security standards
- Collaborate with Data Science, Analytics, Product, and Infrastructure teams to deliver high-impact solutions
- Define SLAs/SLOs and drive reliability and operational improvements
- Lead incident management, root cause analysis, and post-mortem processes
- Promote DevOps best practices, automation, and continuous improvement
- Manage technical debt while balancing feature development and platform stability
Requirements
- 8+ years of experience in data engineering, distributed systems, or related domains
- 3+ years of experience in engineering management leading technical teams
- Strong expertise in data processing frameworks such as Spark, Kafka, Flink, Airflow, Beam, or similar
- Proficiency in programming languages like Python, SQL, Java/Scala, or Go
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., EMR, Glue, Lambda, S3, BigQuery , Dataflow)
- Proven experience in building and scaling data infrastructure and platforms
- Experience with both batch and streaming data architectures
- Strong understanding of data modeling, schema design, and data warehousing concepts
- Experience with modern data storage formats and frameworks such as Parquet, Avro, Delta Lake, Iceberg, or Hudi
- Experience working with databases such as PostgreSQL, MongoDB, Elasticsearch, or Redis
- Experience with orchestration tools like Airflow, Prefect, Temporal, or Argo
- Familiarity with containerization and infrastructure tools such as Docker, Kubernetes, Terraform, and CI/CD pipelines
- Experience working with unstructured data (documents, images, video, audio) is a plus
- Knowledge of modern data stack, data lake architectures, and multi-tenant platforms
- Familiarity with AI/ML data pipelines, feature engineering, and data-driven applications
- Understanding of data quality frameworks, observability tools, and governance practices
- Exposure to vector databases and semantic search technologies is a plus
- Contributions to open-source data processing projects are a plus
- Excellent problem-solving, communication, and leadership skills.
Benefits
- Equal opportunity employer
- Fast-track growth opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Sr Specialist in Systems Administration managing Linux, OpenStack, Kubernetes environments for AT&T's cloud operations with a focus on 24*7 infrastructure support.
Data Analyst working with data analysis and design for a growing ADS within the Bank. Collaborating with global teams to analyze diverse data sources and provide innovative solutions.
Lead Software Engineer role at Ouro, a financial services and technology company, focusing on application design, development, and mentoring engineers.
Staff Engineer in ASIC design for memory and storage solutions at Micron. Focus on synthesis, STA, LEC, and collaborating with design teams on complex IP configurations.
Failure Analysis Engineer at Micron Technology, responsible for fault isolation and physical failure analysis. Collaborating with engineering teams to drive innovation and ensure product excellence.
Lead Software Engineer at Oteemo, responsible for designing and implementing scalable GraphQL APIs. Collaborating with teams and mentoring engineers while driving technical excellence in a hybrid work environment.
Technical Lead implementing Workday integrations for Huron Consulting. Collaborate with teams to enhance cloud - based enterprise systems and manage integration enhancements.
Senior Engineer developing container solutions and managing CI/CD processes for Telia Cygate. Collaborating with teams on Kubernetes and cloud technologies.
Director of Engineering managing teams and leading technical strategy for Walmart Data Ventures, focused on cloud - native architectures and data product innovation.