Sr Software Engineer - Data Engineer

Job Summary

Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs.

You ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture.

Here s a breakdown of what you ll do (not all of it, just the important stuff)

• Design and develop scalable backend services and applications using Python or TypeScript.
• Lead the development of APIs, integrations, reusable software components, and AI-enabled features.
• Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation.
• Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency.
• Make sound technical decisions around architecture, performance, security, scalability, and maintainability.
• Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards.

Requirements

• 5+ years of professional experience developing and delivering production software.
• Strong hands-on experience with Python; TypeScript or similar languages is also valuable.
• Proven experience building backend services, APIs, integrations, and service-oriented applications.
• Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features.
• Strong understanding of software design principles, testing, debugging, performance optimization, and secure development.
• Experience working with cloud platforms, preferably AWS, and familiarity with Git-based CI/CD practices.
• Clear communication and the ability to collaborate on technical direction and delivery.

Nice to have

• Experience building data-intensive applications, ingestion services, or distributed systems.
• Familiarity with containers, infrastructure as code, observability, workflow orchestration, or MLOps.
• Experience with streaming technologies, automated quality practices, or modern AI application patterns such as LLM integrations, prompt engineering, or retrieval-augmented generation.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.