8975 Cloud Engineer jobs in Addison,TX

Principal, Cloud Engineer - Observability

Fidelity Investments

Keller, TX 76244

10+ years of software engineering or cloud engineering experience
Deep expertise in AWS cloud stack, especially:
EKS (Kubernetes on AWS)
Core services (IAM, EC2, networking, storage, etc.)
Strong experience working with Kubernetes and cloud-native ecosystems
Hands-on experience with observability tools/platforms (e.g., Prometheus, Grafana, Datadog, OpenTelemetry, etc.), including hosting and operational ownership
Proficiency in Python and/or Go for platform and tooling development
Strong understanding of CI/CD practices and tools
Experience working with Infrastructure as Code (Terraform, CloudFormation, etc.)
Familiarity with the Azure cloud stack and hybrid/multi-cloud environments
Working knowledge of OpenTelemetry (OTel) concepts and implementation

Apex Focus Group

Dallas, TX 75215

Staffing

Dallas, TX 75201

TradeJobsWorkforce

Arlington, TX 76011

American Airlines

Fort Worth, TX 76101

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
3+ years experience building data solutions, using agile and DevOps practices
3 years experience using SQL, Python and Spark
3 years experience with Cloud technologies (especially Microsoft Azure)
Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers.

Coca-Cola Southwest Beverages

Dallas, TX 75240

Bachelor's degree in computer science, software engineering, information technology, or a related field.
3+ years experience in data engineering, including hands-on experience in building and maintaining data pipelines and data infrastructure.
3+ years proven experience leading and managing a team of data engineers, including setting objectives, providing guidance, and assessing performance
A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling.
Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
Proficiency with big data technologies and platforms, such as Hadoop, Spark, Apache Kafka, and distributed data processing frameworks.
Experience with various database systems, including relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Proficiency on cloud platforms like Azure, AWS, etc. for data storage and processing.
30% travel projected
Ability to lead and manage a team of data engineers, including setting objectives, providing guidance, and assessing performance