Software Development Engineer II
DigitalXNode
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Job summary
DigitalXNode seeks a talented Software Development Engineer II to design, develop, and maintain scalable software applications, cloud-native services, and AI-powered solutions for enterprise-grade products. The role emphasizes ownership across the full software lifecycle and collaboration with AI specialists, product managers, DevOps, and data teams.
You'll work with modern cloud technologies on AWS to deliver reliable, secure, and high-performance systems, while mentoring teammates and
Qualifications
- Bachelor's degree in CS, SWE or related field.
- Experience with backend API design and cloud-native apps.
- Proficient in Java, Python, TypeScript, and Go.
Responsibilities
- Design, develop, test, deploy, and maintain scalable backend services.
- Build RESTful APIs and microservices for cloud architectures.
- Collaborate with AI, product, and DevOps teams to ensure reliability.
- Mentor junior developers and participate in code reviews.
Skills
Education
Tools
Job description
We are looking for a talented Software Development Engineer II (SDE II) to design, develop, and maintain scalable software applications, cloud-native services, and AI-powered solutions that support enterprise-grade products. The ideal candidate will have strong experience in backend development, API design, cloud computing, distributed systems, and modern software engineering practices.
As an SDE II, you will own features throughout the complete software development lifecycle—from technical design and implementation to deployment, monitoring, and continuous optimization. You will collaborate with software engineers, AI specialists, product managers, DevOps engineers, and data teams to deliver reliable, secure, and high-performance applications while leveraging AI-assisted development tools to improve engineering productivity.
This role offers an opportunity to work with modern cloud technologies, Generative AI, containerized applications, and scalable architectures while contributing to innovative software solutions.
- Design, develop, test, deploy, and maintain scalable software applications and backend services.
- Build cloud-native applications using modern software engineering principles.
- Develop secure, high-performance RESTful APIs and microservices.
- Deliver production-ready features from design through deployment and post-release support.
- Continuously improve application scalability, reliability, and maintainability.
- Utilize AI-assisted development tools such as GitHub Copilot, Cursor AI, Gemini, Claude, or similar platforms to accelerate software development.
- Evaluate AI-generated code for accuracy, security, and maintainability before implementation.
- Develop AI-enabled workflows that improve engineering productivity and software quality.
- Explore opportunities to automate repetitive development tasks using AI technologies.
- Collaborate with AI engineers on intelligent applications and workflow automation initiatives.
- Develop and maintain applications deployed on AWS cloud infrastructure.
- Build containerized applications using Docker and cloud-native deployment practices.
- Support infrastructure scalability, performance optimization, and cost efficiency.
- Participate in cloud migration and modernization initiatives where applicable.
- Implement monitoring, logging, and observability across production systems.
- Create comprehensive unit, integration, component, and end-to-end test cases.
- Maintain high code quality through peer reviews and coding standards.
- Identify, troubleshoot, and resolve software defects and production issues.
- Ensure software reliability through automated testing and continuous validation.
- Participate in release planning and deployment activities.
- Support CI/CD pipelines and automated deployment processes.
- Monitor production applications and respond to operational incidents.
- Perform root cause analysis for production issues and implement permanent solutions.
- Improve deployment efficiency through automation and process optimization.
- Contribute to infrastructure reliability and operational excellence initiatives.
- Work closely with Product Managers, Designers, QA Engineers, Data Engineers, and DevOps teams.
- Participate in architecture discussions and technical planning sessions.
- Mentor junior developers and contribute to team knowledge sharing.
- Maintain technical documentation and engineering standards.
- Continuously evaluate new technologies and engineering best practices.
- Java
- Python
- TypeScript
- Go (Preferred)
- RESTful API Development
- Microservices Architecture
- Distributed Systems
- Backend Application Development
- Service-Oriented Architecture
- Amazon Web Services (AWS)
- Amazon EC2
- Amazon S3
- AWS Lambda
- Cloud-Native Development
- MySQL
- SQL
- Database Design
- Query Optimization
- Git
- GitHub
- CI/CD Pipelines
- Docker
- Continuous Integration
- Continuous Deployment
- GitHub Copilot
- Cursor AI
- Google Gemini
- Claude AI
- Generative AI Development Tools
- Prompt Engineering Fundamentals
- Object-Oriented Programming
- Design Patterns
- Data Structures & Algorithms
- Debugging
- Code Review
- Test-Driven Development (TDD)
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
- Ability to work independently and manage feature ownership.
- Strong debugging and troubleshooting capabilities.
- Continuous learning mindset with interest in AI-driven software development.
- Infrastructure as Code (Terraform).
- CircleCI or other CI/CD platforms.
- Kubernetes.
- High-throughput distributed systems.
- Big Data processing environments.
- AdTech or Media Technology experience.
- AI workflow automation.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, or Datadog.
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, Electronics, or a related technical discipline.
- B.Tech / BE / BCA / B.Sc. (Computer Science or IT) preferred.
- MCA, M.Tech, M.Sc. (Computer Science, Artificial Intelligence, Software Engineering), or equivalent qualifications.
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
- Oracle Certified Java Professional
- Docker Certified Associate
- Certified Kubernetes Application Developer (CKAD)
- HashiCorp Terraform Associate
- Generative AI or Cloud Computing certifications
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