What are the responsibilities and job description for the Senior Full Stack Engineer | Python | Angular | AWS | GenAI | Hybrid position at Unisys?
Senior Full Stack Engineer | Python | Angular | AWS | GenAI | Hybrid
📍 Locations: Rockville, MD | Tysons Corner, VA | New York City, NY | Jersey City, NJ
🏢 Hybrid Schedule: 3 Days Onsite | 2 Days Remote
We are seeking a highly motivated Full Stack Engineer to join a growing engineering team responsible for building and enhancing large-scale enterprise applications. This role offers the opportunity to work on modern cloud-native platforms, scalable microservices, advanced UI development, and emerging Generative AI technologies.
What You'll Do
- Design, develop, and maintain scalable applications using Python and Angular.
- Build robust REST APIs and microservices architectures.
- Develop responsive, user-friendly web applications and dashboards.
- Leverage AWS cloud services to build secure, high-performing solutions.
- Integrate Generative AI and LLM capabilities into enterprise applications.
- Design and implement CI/CD pipelines using Jenkins and modern DevOps practices.
- Collaborate with architects, product managers, and engineering teams to deliver innovative solutions.
- Participate in code reviews and contribute to engineering best practices.
- Troubleshoot and resolve complex production and application issues.
- Drive performance, scalability, and reliability improvements across applications.
Required Qualifications
- 5 years of professional software development experience.
- Strong hands-on experience with Python development.
- Experience building modern user interfaces using Angular.
- Solid knowledge of AWS cloud services and cloud-native development.
- Experience with Jenkins and CI/CD pipeline implementation.
- Strong understanding of RESTful APIs, microservices, and distributed systems.
- Experience working with relational and/or NoSQL databases.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Java development experience.
- Node.js experience.
- Docker and containerization technologies.
- Experience with Generative AI, LLMs, AI Agents, or related technologies.
- Knowledge of Infrastructure as Code and DevOps best practices.
- Experience with AWS services such as Lambda, ECS, API Gateway, S3, RDS, IAM, SNS, SQS, CloudFormation, and Bedrock.
- Familiarity with AI evaluation frameworks and agent-based architectures.
Additional Information
- Hybrid work environment with 3 days onsite and 2 days remote.
- Opportunity to work on high-impact enterprise platforms serving large-scale business operations.
- Exposure to cutting-edge cloud, AI, and modern application development technologies.
- Candidates should be comfortable participating in a rotational on-call support schedule when required.
If you're passionate about building scalable applications, cloud technologies, and next-generation AI-enabled solutions, we'd love to hear from you.