Python Developer - Unisys : Job Details

Direct message the job poster from Unisys

Looks like Python(Django or Flask) + Angular or React. + AWS. (bonuses: big data/spark, Airflow, ML, GraphQL APIs)

Team/Space: Market Regulation

JD

We are seeking a Full Stack Engineer to work on innovative projects aimed at enhancing user experience and business efficiency. This role involves end-to-end development, from designing intuitive front-end interfaces to architecting scalable and secure back-end systems. You will collaborate closely with product managers, data scientists, and engineers to deliver high-performance systems that power market surveillance and regulatory workflows.

Job Responsibilities:

· Design and implement scalable, modular architectures that align with evolving business needs.

· Build and maintain responsive front-end applications using Angular or React for internal business users.

· Develop robust RESTful APIs and back-end services using Python (Django or Flask).

· Integrate with enterprise data platforms, data lakes, and cloud-based storage systems.

· Deploy and manage applications on AWS (EC2, Lambda, S3, RDS).

· Set up and maintain CI/CD pipelines using Jenkins or GitHub Actions for continuous integration and delivery.

· Write and maintain comprehensive automated tests, including unit, integration, and end-to-end coverage.

· Participate in Agile ceremonies, collaborate with cross-functional teams, and contribute to iterative development cycles.

Qualifications:

· Bachelor's degree in computer science, Software Engineering, or related field.

· 7+ years of hands-on experience developing production-grade web applications.

· Strong expertise in Python (Django or Flask) for back-end development.

· Solid understanding of both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases.

· Proficient with AWS cloud services and infrastructure.

· Experience implementing CI/CD workflows and managing deployments.

· Familiarity with automated testing frameworks and a test-driven development mindset.

· Proven ability to thrive in Agile/Scrum teams and collaborate effectively.

Nice to have:

· Experience with big data technologies and data pipeline development using Apache Spark.

· Knowledge of integrating machine learning models into production applications.

· Familiarity with Apache Airflow for orchestrating workflows.

· Experience working with GraphQL APIs.

#LI-CGTS

#TS-(9942)

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionOther
• IndustriesSoftware Development and Financial Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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