AI & Advanced Technologies - Senior Software Engineer
3/16/2026
The role involves taking full end-to-end ownership of features, spanning product thinking, design, development, testing, deployment, and post-production monitoring. Responsibilities include collaborating on high-quality web applications, championing agentic development practices, and owning the full DevOps lifecycle.
Working Hours
40 hours/week
Company Size
1,001-5,000 employees
Language
English
Visa Sponsorship
No
Responsibilities
- Take full end-to-end ownership of features — from product thinking and design through development, testing, deployment, and post-production monitoring.
- Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services.
- Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity.
- Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks.
- Own the full DevOps lifecycle — CI/CD pipelines, containerization, release management, and production observability.
- Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures.
- Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability.
- Utilize version control systems, particularly Git, for code management and collaboration.
- Stay current with emerging technologies, AI tooling, and modern engineering trend
Requirements
- Minimum of 5 years of proven experience in end-to-end web application development.
- Strong product mindset — ability to act independently across the full stack, from scoping and development to deployment and post-prod, without requiring close oversight.
- Strong proficiency in frontend technologies such as React (mainly), Vue.js, or Angular.
- Competence in E2E approach (Requirements<>Dev<>Testing<>Post production)
- Experience working with relational and NoSQL databases.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in English.
- Hands-on experience with LLMs, AI agents, and AI-assisted development tooling (e.g., GitHub Copilot, Cursor, or custom agentic workflows).
- Experience with cloud platforms such as Google Cloud, AWS, or Azure.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Experience working in both microservices and monolithic architecture environments.
- Familiarity with observability tooling (logging, metrics, tracing).
- Understanding of agile software development methodologies.
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