Overview
Skills
Job Details
In this role, you will:
Design, engineer, and develop complex automation solutions
Produce automation solutions that leverage Generative AI Technology
Drive implementation of innovative solutions across multiple Cybersecurity domains
Interact with Engineering and Architecture peers to devise solutions that align with enterprise technology strategy
Contribute to complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and scale technology solutions for cyber engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, engage teams, or serve as a peer mentor
Required Qualifications:
5+ years of professional experience in end-to-end software development designing, building, and deploying applications
5+ years of Full stack development experience
Proficiency: 5+ years of professional experience in software development, with a focus on Python and Node.js.
Language Expertise: 5+ years of strong proficiency in Python (Django, Flask) and Node.js, with a solid understanding of JavaScript/TypeScript.
Back-End Expertise: Experience in building RESTful APIs, microservices, and server-side applications.
Database Knowledge: Proficiency in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud, and familiarity with DevOps practices.
Version Control: Strong experience with Git and version control workflows.
Agile Methodology: Experience working in Agile/Scrum development environments.
Problem-Solving Skills: Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
Preferred Qualifications:
Front-End Knowledge: Basic understanding of front-end technologies such as React, Angular, or Vue.js.
CI/CD Pipelines: Experience in setting up and managing CI/CD pipelines.
Containerization: Familiarity with Docker and Kubernetes for containerization and orchestration.
Testing Frameworks: Experience with testing frameworks such as Jest, Mocha, PyTest, or others.
Strong experience with Git and version control workflows
Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment
Strong verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders
Desired Qualifications:
BS in Computer Science or equivalent experience
Background in AI/ML fundamentals
Experience working with Gen AI and developing AI Models
Gen AI Tools and Frameworks - ex: Agentic AI, Lang Chain and embedding workflows