Description
Job Title: Staff Software Engineer, Public Sector
We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.
Responsibilities:
- Design and implement software solutions for the public sector
- Work closely with cross-functional teams to develop and deploy software applications
- Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
- Develop and maintain software documentation
- Participate in code reviews and ensure that code meets quality standards
Requirements:
- Bachelor's degree in Computer Science or related field
- 5+ years of experience in software development
- Proficiency in programming languages such as Java, Python, or C++
- Experience with Agile development methodologies
- Strong understanding of software design patterns and principles
- Excellent communication and collaboration skills
Preferred Qualifications:
- Master's degree in Computer Science or related field
- 10+ years of experience in software development
- Experience with cloud-based technologies such as AWS or Azure
- Experience with DevOps practices
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
Salary Range: $252,000-$362,000 USD
Required Skills:
- Full Stack Development
- Cloud-Native Technologies
- Data Engineering
- AI Application Integration
- Problem Solving
- Collaboration and Communication
- Adaptability and Learning Agility
Preferred Skills:
- Experience with modern web development frameworks
- Familiarity with cloud platforms
- Understanding of containerization and container orchestration
- Knowledge of ETL processes
- Understanding of data modeling, data warehousing, and data governance principles
- Familiarity with integrating Large Language Models