The ideal candidate will possess strong backend engineering expertise, hands-on frontend development experience, and the ability to build and maintain modern data pipelines. This role requires a collaborative engineer who can leverage AI-assisted development tools to improve productivity and software quality.
Key Responsibilities:
Design, develop, and maintain scalable backend services and RESTful APIs using Java and Spring Boot.
Build and support microservices-based architectures in cloud-native environments.
Develop responsive and user-friendly frontend applications using React and TypeScript.
Design, build, and optimize data ingestion, transformation, and processing pipelines using Python.
Develop and maintain workflow orchestration solutions using Apache Airflow.
Implement large-scale data processing solutions using Apache Spark.
Build and manage data solutions leveraging Snowflake and modern cloud data platforms.
Collaborate with product, architecture, and engineering teams to deliver end-to-end solutions.
software engineering best practices including automated testing, code reviews, CI/CD, and observability.
Utilize AI-powered development tools to improve code quality, productivity, testing, and delivery outcomes.
Troubleshoot, optimize, and support production applications and data pipelines.
Required Qualifications:
Strong experience in Java and Spring Boot application development.
Proven experience designing and developing REST APIs and microservices.
Hands-on experience with React and TypeScript for frontend development.
Experience building ETL/data processing solutions using Python.
Working knowledge of Apache Airflow for workflow orchestration.
Experience with Apache Spark for distributed data processing.
Experience with Snowflake or comparable cloud data warehousing platforms.
Strong understanding of modern software development practices, including testing, CI/CD, and agile methodologies.
Experience working with AI-assisted engineering tools (e.g., GitHub Copilot, ChatGPT, Cursor, Codeium, or similar) within the software development lifecycle.
Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications:
Experience in privacy, security, or data governance platforms.
Experience with mutation testing, automated quality engineering practices, and test strategy improvements.
Experience working in cloud environments (AWS preferred).
Exposure to platform modernization and large-scale enterprise applications.
Technical Skills:
Backend:
Java
Spring Boot
REST APIs
Microservices
Frontend:
Data Engineering:
Python
ETL Development
Apache Airflow
Apache Spark
Snowflake
Engineering Practices:
The pay range that the employer in good faith reasonably expects to pay for this position is $38.14/hour - $59.59/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
