Project description This position is for a Backend Engineer specialized in secure, scalable backend architectures using AWS services, Python, AWS CDK (TypeScript/Python) or Terraform and CI/CD automation. Responsibilities Lead the design and development of secure, scalable backend systems and infrastructure using AWS services. Architect and optimize ETL workflows for efficient ingestion, transformation, and storage of large datasets. Own end-to-end technical delivery: system design, implementation, integration, code reviews, and performance tuning. Collaborate with architects and domain experts to define backend and infrastructure architecture. Implement and maintain AWS infrastructure using CDK, ensuring security, scalability, and cost efficiency. Build robust monitoring, logging, and alerting for production systems to ensure reliability and traceability. Work with analytics and product teams to transform business requirements into actionable backend and data solutions. Drive best practices in code quality, CI/CD automation, containerization, and documentation. Solve complex technical challenges with structured thinking and a data-driven approach. Mentor engineers, conduct design reviews, and contribute to engineering excellence across teams. Collaborate with cross-functional teams; follow Agile/Scrum workflows (tickets, sprints, reviews). Skills Must have Proven experience designing and implementing secure, scalable backend architectures using AWS services (S3, Lambda, DynamoDB, ECS, EC2, etc.). Strong proficiency in Python development and object-oriented design principles. Hands-on experience with Infrastructure-as-Code tools such as AWS CDK (TypeScript/Python) or Terraform. Deep understanding of Docker, containerized development, and microservice deployment patterns. Expertise in building REST APIs, microservices, and event-driven architectures. Advanced knowledge of relational and non-relational databases, schema design, and query optimization. Experience designing ETL/ELT pipelines, data modeling, and implementing data quality frameworks. Familiarity with workflow orchestration tools like Argo Workflows. Strong capability in CI/CD automation, GitLab, testing frameworks, and enforcing code quality standards. Ability to translate complex business requirements into scalable technical solutions. Collaborative experience working with frontend, data, QA, and product teams in cross-functional environments. Nice to have Knowledge of EKS (Kubernetes) and container orchestration. Experience with search engines (e.g., OpenSearch). Designing ETL pipelines using Athena, OpenSearch, or Redshift. Exposure to Snowflake, data warehouses, Parquet file processing, and schema evolution. Familiarity with monitoring and observability tools (Grafana, Tableau, OpenSearch Dashboards). Other Languages English: B2 Upper Intermediate Seniority Senior