Job Description
Job Description
Job Overview:
Requirement/Must Have:
- 4+ years of professional software engineering, application development, or systems analysis experience.
- Demonstrated experience delivering production software across the full software development lifecycle.
- Strong proficiency in TypeScript or JavaScript.
- Experience designing and consuming RESTful APIs and integrating distributed systems.
- Experience with cloud platforms, preferably AWS, including services, configuration, deployment, monitoring, or infrastructure automation.
- Experience with CI/CD pipelines, Git-based source control, automated testing, and DevSecOps practices.
- Ability to diagnose complex technical problems and deliver reliable, maintainable solutions.
- Experience working in an agile product or delivery team with multiple internal partners.
- Strong verbal and written communication skills, including the ability to explain technical topics to both technical and non-technical stakeholders.
- Ability to work independently, manage competing priorities, and deliver commitments in a changing environment.
Responsibilities:
- Design, develop, test, debug, document, and deploy secure software solutions for Digital Assistants and related conversational AI capabilities.
- Build and maintain integrations between chatbot experiences, SaaS platforms, enterprise APIs, customer-data services, contact-center capabilities, and other internal systems.
- Configure and extend conversational AI capabilities, including Cognigy-based flows, services, APIs, and supporting automation.
- Develop and maintain TypeScript/JavaScript services, API integrations, event-driven components, and cloud-based solutions.
- Contribute to AWS infrastructure, deployment pipelines, environment configuration, monitoring, and operational support.
- Apply DevSecOps practices throughout the delivery lifecycle, including source control, automated testing, code quality checks, CI/CD, vulnerability remediation, and release controls.
- Troubleshoot production and non-production issues using logs, monitoring, traces, test results, and other diagnostic tools.
- Identify root causes and implement durable fixes.
- Develop automated tests and regression coverage for bot behavior, APIs, integrations, and supporting services.
- Participate in solution design, story refinement, estimation, sprint planning, demonstrations, retrospectives, and peer reviews.
- Collaborate with engineers, contractors, product owners, UX professionals, architects, security partners, and business stakeholders to deliver high-quality outcomes.
- Create and maintain technical documentation, runbooks, operational procedures, and knowledge-transfer materials.
- Identify opportunities to improve reliability, observability, automation, maintainability, performance, and developer productivity.
- Provide constructive technical guidance and peer support to other team members while operating within established team architecture and engineering direction.
- Support production releases, incident response, defect remediation, and after-hours support activities when required by the team.
Nice to Have:
- Experience with Cognigy or another enterprise conversational AI, chatbot, virtual-assistant, or customer-service automation platform.
- Experience integrating chatbots with contact-center platforms, live-chat capabilities, Client, session management, authentication, or customer-data services.
- Experience with Amazon Bedrock and LLM integration: Bedrock, Agentcore.
- Experience with AWS serverless, API management, infrastructure as code, observability, or application performance monitoring.
- Experience with AWS cloud development: Lambda, S3, DynamoDB, IAM, KMS, and CloudWatch.
- Experience building automated regression suites and test tooling for conversational experiences and integrations.
- Experience with enterprise security controls, PII-aware design, vulnerability remediation, and secure API development.
- Insurance, financial services, retirement solutions, or other regulated-industry experience.
- Experience mentoring peers, leading feature-level technical execution, or coordinating delivery across multiple teams.
Skills:
- Conversational AI.
- Cognigy AI.
- TypeScript.
- JavaScript.
- Python.
- Java.
- C#.
- RESTful APIs.
- AWS.
- CI/CD.
- Git.
- DevSecOps.
- Amazon Bedrock.
- LLM.
- Lambda.
- S3.
- DynamoDB.
- IAM.
- KMS.
- CloudWatch.
Qualification And Education:
- Four or more years of professional software engineering, application development, or systems analysis experience.
Benefits:
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.