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Job summary
A technology firm is looking for a Senior Backend Engineer to design and implement robust backend systems. You will collaborate closely with DevOps and frontend teams, manage AWS infrastructure, and ensure application security, scalability, and efficiency. The role requires expertise in Python, AWS, and Kubernetes, with a strong emphasis on automation and high-performance applications. This is a fully remote position with candidates expected to maintain a 6-hour overlap with Eastern U.S. business hours.
Qualifications
5+ years of experience in backend development, with a focus on cloud-native applications.
Proficiency in Python for backend services and scripting tasks.
Extensive experience with AWS, including core services like EC2, S3, Lambda, and RDS.
Strong hands-on experience with Kubernetes for container orchestration and microservices management.
Familiarity with monitoring and logging tools such as Grafana and Loki.
Proven experience with Infrastructure as Code (IaC) tools such as Terraform or AWS CDK.
Excellent problem-solving skills and the ability to troubleshoot complex issues.
Strong communication and collaboration skills, with experience working in cross-functional teams.
Responsibilities
Build, maintain, and optimize backend systems using Python.
Design and deploy AWS infrastructure, emphasizing scalability and security.
Manage containerized applications using Kubernetes.
Use Terraform or AWS CDK to automate infrastructure management.
Implement monitoring and logging solutions using Grafana and Loki.
Collaborate with DevOps and product teams for cohesive applications.
Automate workflows to improve performance, ensuring low-latency systems.
Skills
Python
AWS
Kubernetes
Terraform
Grafana
Loki
Problem-solving skills
Collaboration
Tools
Terraform
AWS CDK
Job description
A technology firm is looking for a Senior Backend Engineer to design and implement robust backend systems. You will collaborate closely with DevOps and frontend teams, manage AWS infrastructure, and ensure application security, scalability, and efficiency. The role requires expertise in Python, AWS, and Kubernetes, with a strong emphasis on automation and high-performance applications. This is a fully remote position with candidates expected to maintain a 6-hour overlap with Eastern U.S. business hours.