Full Stack Engineer

Full Stack Development

• Develop and maintain scalable backend services, APIs, and web applications.
• Build RESTful APIs and microservices using technologies such as Java/Spring Boot, Python/FastAPI, Node.js, or similar.
• Develop responsive frontend applications using React, Angular, TypeScript, JavaScript, HTML, and CSS.
• Integrate frontend applications with REST/GraphQL APIs and cloud-native backend services.
• Design and optimize database interactions using PostgreSQL, MySQL, MongoDB, DynamoDB, or similar databases.
• Implement authentication and authorization using OAuth 2.0, OpenID Connect, JWT, AWS IAM, or similar technologies.
• Develop automated unit, integration, API, and end-to-end tests.
• Troubleshoot application performance and scalability issues across frontend, backend, database, and infrastructure layers.

Required Technical Skills

Cloud

• AWS
• EC2, S3, VPC, IAM, RDS, DynamoDB
• EKS/ECS, Lambda
• CloudWatch, Route 53, API Gateway
• SQS, SNS, EventBridge
• AWS networking and security

SRE / DevOps

• Site Reliability Engineering principles
• Incident Management & Root Cause Analysis
• CI/CD
• Terraform / CloudFormation / AWS CDK
• Docker
• Kubernetes / EKS
• Jenkins / GitHub Actions / GitLab CI
• Linux administration and troubleshooting
• Bash/Shell scripting
• Python

AIOps / AI

• AIOps and intelligent event management
• Generative AI / LLM concepts
• AI-assisted incident management
• Anomaly detection and predictive monitoring
• Automated remediation / self-healing systems
• LLM APIs and AI agent workflows
• RAG/vector database concepts are a plus
• Experience integrating AI with DevOps/SRE workflows

Observability

• Datadog / Dynatrace / New Relic
• Prometheus
• Grafana
• Splunk
• AWS CloudWatch
• OpenTelemetry
• Application Performance Monitoring

Full Stack

• React / Angular
• JavaScript / TypeScript
• HTML / CSS
• Node.js / Python / Java
• REST APIs / GraphQL
• Microservices
• SQL / NoSQL databases

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• 7+ years of experience in software engineering, DevOps, Cloud Engineering, or SRE.
• 4+ years of hands-on AWS experience.
• Strong experience supporting production environments and distributed systems.
• Experience implementing AIOps or AI-powered operational solutions.
• Experience with Kubernetes and cloud-native architectures.
• Experience developing full-stack applications.
• Strong programming and scripting skills in Python, Java, Node.js, or similar languages.
• Experience working in Agile/Scrum environments.
• Strong troubleshooting, analytical, communication, and problem-solving skills.

Key Competencies

• Cloud-native architecture
• Site Reliability Engineering
• AIOps & Generative AI
• Infrastructure automation
• Full-stack development
• Observability & monitoring
• Production support
• Incident response
• Automation & self-healing
• Performance optimization
• Security and reliability
• Continuous improvement