Public Cloud Solution Architect advancing Ubuntu adoption and joint initiatives with major cloud providers. Aligning technical, product, engineering, and go - to - market strategies for Canonical’s open - source platform.
About the role
- Staff Software Engineer scaling Marqeta’s embedded-finance customer migration platform. Building backend services, data pipelines, and cloud infrastructure with Java, Python, and AWS.
Responsibilities
- Design, develop, and maintain server-side applications and services using Java and Python
- Implement scalable APIs, web services, and microservices
- Build cloud-native applications using AWS or other cloud infrastructure
- Optimize code and databases for performance, scalability, and maintainability
- Resolve technical challenges and backend bottlenecks
- Design and maintain data pipelines, ELT processes, and data integration solutions
- Work with structured and unstructured datasets and implement data storage and retrieval mechanisms
- Collaborate with data scientists and analysts to ensure data quality, accuracy, and availability
- Implement data security and privacy best practices
- Implement CI/CD pipelines and automate deployment processes
- Monitor and troubleshoot production systems
- Participate in on-call rotations and incident response
- Create and maintain documentation for code, architecture, and data processes
- Collaborate with product managers, domain experts, and other cross-functional teams
- Mentor junior engineers and improve engineering efficiency
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- Minimum of 8 years working on software engineering, data pipelines, data integration, and database management
- Strong expertise in AWS services, including S3, Glue, Athena, DynamoDB, and Kinesis
- Hands-on experience with data integration tools such as Fivetran
- Hands-on experience with orchestration services such as Airflow
- Proficiency in relational, non-relational, and data warehouse databases such as Amazon Aurora, Cassandra, DynamoDB, and Snowflake
- Solid programming skills in Python, Java, or Scala
- Knowledge of data modeling, ELT processes, and data warehousing concepts
- Experience building and operating containerized workloads and services such as Kubernetes on cloud
- Familiarity with data quality and data governance principles
- Ability to lead design, build, deployment, and operations stages
- Experience working with distributed teams
- Experience using AI tools effectively and responsibly, including reviewing AI-generated output, protecting sensitive data, and following security, privacy, and compliance guidelines
- Strong problem-solving, independent work, collaboration, communication, and mentoring abilities
Benefits
- Annual bonuses for eligible employees
- Multiple health insurance options
- Flexible vacation time with additional floating holidays
- Retirement savings program with company contribution
- Equity in a publicly-traded company
- Monthly stipend to support the remote work model
- Annual development stipend
- Family-forming benefits
- Generous parental leave base salary top-up
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