Summary
✨ AI‑Generated
A Full Stack Engineer will build scalable backend services, APIs and responsive web applications while working across databases, authentication, testing and cloud infrastructure. The role requires the ability to troubleshoot performance and scalability across frontend, backend, database and infrastructure layers.
Highlights
Full-stack role covering backend services, modern frontend applications, cloud-native systems, databases, security and automated testing, with broad exposure across the software stack.
Description
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
AWSEC2, S3, VPC, IAM, RDS, DynamoDBEKS/ECS, LambdaCloudWatch, Route 53, API GatewaySQS, SNS, EventBridgeAWS networking and securitySRE / DevOps
Site Reliability Engineering principlesIncident Management & Root Cause AnalysisCI/CDTerraform / CloudFormation / AWS CDKDockerKubernetes / EKSJenkins / GitHub Actions / GitLab CILinux administration and troubleshootingBash/Shell scriptingPythonAIOps / AI
AIOps and intelligent event managementGenerative AI / LLM conceptsAI-assisted incident managementAnomaly detection and predictive monitoringAutomated remediation / self-healing systemsLLM APIs and AI agent workflowsRAG/vector database concepts are a plusExperience integrating AI with DevOps/SRE workflowsObservability
Datadog / Dynatrace / New RelicPrometheusGrafanaSplunkAWS CloudWatchOpenTelemetryApplication Performance MonitoringFull Stack
React / AngularJavaScript / TypeScriptHTML / CSSNode.js / Python / JavaREST APIs / GraphQLMicroservicesSQL / NoSQL databasesPreferred 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 architectureSite Reliability EngineeringAIOps & Generative AIInfrastructure automationFull-stack developmentObservability & monitoringProduction supportIncident responseAutomation & self-healingPerformance optimizationSecurity and reliabilityContinuous improvement
