Senior Software Engineer

One of the country’s largest entertainment and media companies in the world is searching for a Senior Software Engineer to join their engineering team on a hybrid basis. In this role, you will design and build high-throughput, low-latency cloud infrastructure and sophisticated data pipelines that power world-class digital experiences. You will collaborate closely with data scientists, cross-functional engineers, and technical leaders to drive innovation, optimize distributed systems, and architect cutting-edge data solutions serving millions of global users.

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience. \n

• 5+ years of professional software engineering experience solving complex distributed systems and data management challenges. \n

• Exceptional programming capabilities with a deep focus on time and space complexity, algorithm design, and code optimization. \n

• Advanced proficiency in Python along with hands-on expertise in DevOps practices, including CI/CD pipelines, Docker containerization, automated testing, and release automation. \n

• Proven experience building and deploying cloud-native architectures in AWS using core services such as S3, Lambda, Kinesis, IAM, and SNS. \n

• Solid experience implementing Infrastructure as Code (IaC) utilizing Terraform, AWS CDK, or CloudFormation. \n

• Working proficiency in at least one strongly typed language such as Java, TypeScript, or similar. \n

• Strong foundational knowledge of data storage trade-offs across relational databases, NoSQL stores, data warehousing, and partitioning strategies.

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• Architect, write, and maintain clean, low-latency, and fault-tolerant code designed for high-throughput cloud environments and complex data algorithms. \n

• Partner with data scientists, software developers, and technical stakeholders to shape technical roadmaps and elevate engineering practices across teams. \n

• Establish low-level software design patterns, including optimal data structures, object-oriented design, and efficient code modularity. \n

• Devise technical solutions that support scalable architectural enhancements and resolve system performance bottlenecks. \n

• Identify opportunities to modularize, generalize, and reuse existing microservices and codebase components. \n

• Keep pace with emerging trends and innovations across cloud data management and modern software engineering. \n

• Mentor peer engineers through technical guidance, architectural discussions, and constructive code reviews. \n

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