Software Engineer, Cloud & Platform - News Break

About the role

As a Software Engineer in Cloud & Platform, you will be responsible for building, optimizing, and maintaining scalable, resilient, and high-performance cloud infrastructure. Working at the intersection of software development, reliability engineering, and cloud operations, you will ensure our systems are highly available, secure, and efficiently managed. Your focus will be on cloud-native architectures, Kubernetes-based deployments, and big data infrastructure, leveraging AWS EKS for container orchestration and EMR for big data processing. You will play a key role in automating infrastructure, enhancing observability, and ensuring seamless scalability across our cloud environment.

Responsibilities

• Design, develop, and automate cloud infrastructure and platform services with a focus on AWS EKS for Kubernetes orchestration and AWS EMR for big data processing.
• Improve service lifecycle management, from system design and development to deployment, operation, and continuous improvement.
• Optimize system performance and reliability by implementing best practices in observability, monitoring, and incident management for EKS-based microservices and EMR-based data pipelines.
• Enhance infrastructure automation using Infrastructure-as-Code (IaC) frameworks (Terraform, CloudFormation), CI/CD pipelines, and configuration management tools.
• Support production services by engaging in on-call rotations, conducting blameless postmortems, and proactively identifying performance bottlenecks across EKS clusters and EMR workloads.
• Ensure efficient capacity planning and scaling strategies, leveraging containerization (Docker, Kubernetes on EKS) and cloud-native solutions for big data workloads on EMR, Spark, and Hadoop.
• Develop internal tooling and frameworks that improve developer productivity, system reliability, and operational efficiency in a Kubernetes- and cloud-native environment.

Requirements

• BS or MS in Computer Science, Engineering, or a related field, with at least 2+ years of experience in SRE, DevOps, or Infrastructure Engineering roles.
• Strong programming experience in at least one of the following: C, C++, Java, Python, or Go.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure), with a strong preference for AWS EKS (Elastic Kubernetes Service) and AWS EMR (Elastic MapReduce).
• Experience with troubleshooting databases’ (Mysql, MongoDB, Elasticsearch) query performance and managing message queuing systems like Kafka.
• Deep understanding of Linux internals, networking protocols (TCP/IP), and virtualization technologies (Docker, Kubernetes, etc.).
• Experience managing large-scale distributed systems, troubleshooting performance issues, and optimizing service availability in EKS and EMR environments.
• Strong problem-solving and debugging skills, with a systematic approach to incident response and root cause analysis.