Software Engineer III- Eng

Overview

Design, build, test and operate scalable, enterprise-grade software systems and services used by organizations worldwide, working across the full software development lifecycle in high-scale, compliance-sensitive environments.

What you'll do

• Design, build, test and maintain high-quality software systems and services with a focus on correctness, scalability, reliability and operational excellence.
• Lead the technical design and delivery of distributed, enterprise-scale systems, contributing to architecture reviews, service decomposition, API design, event-driven integrations and data modeling.
• Own services end-to-end, including implementation, CI/CD automation, deployment, observability, operational health and ongoing production support.
• Use AI-assisted development tools such as GitHub Copilot, Claude, or similar technologies to improve productivity, testing and documentation quality, and review and validate AI-generated output for correctness, security and maintainability.
• Maintain a high bar for code quality through code reviews, automated testing and strong engineering practices, building test suites covering unit, integration, contract and edge-case scenarios.
• Monitor and improve the reliability, availability and performance of production services using telemetry, logging, metrics and operational insights.
• Collaborate with engineering, product, security and business stakeholders to deliver complex features and systems iteratively.
• Apply responsible AI principles when integrating AI-powered capabilities, including privacy, transparency, auditability, governance and compliance.
• Create and maintain clear technical documentation for systems, APIs, operational processes and business-critical logic.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 6+ years of professional software engineering experience building and operating production-grade applications and services.
• Strong proficiency in one or more modern programming languages such as Java, C#, Python, Go or Kotlin.
• Experience designing and operating distributed systems and microservices-based architectures.
• Strong understanding of software engineering fundamentals, design patterns, testing methodologies and system design principles.
• Experience designing and consuming RESTful APIs and event-driven integrations.
• Experience working with relational databases such as PostgreSQL or SQL Server in transactional or high-scale environments.
• Experience with cloud platforms and containerized deployments using technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, version control systems (GitHub) and Agile development workflows.
• Experience using AI-assisted engineering tools as part of a modern software development workflow.

Nice to have

• Experience building and operating workloads on AWS, Azure or GCP.
• Experience with observability, monitoring and production operations in large-scale distributed systems.
• Experience implementing automated testing strategies across unit, integration and contract testing layers.
• Experience building systems in compliance-sensitive or business-critical domains.
• Experience integrating AI-powered capabilities such as LLM APIs, intelligent automation or agentic workflows into production applications.
• Understanding of responsible AI principles, including governance, explainability, privacy and risk mitigation.
• Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams.
• Demonstrated ability to drive projects independently and influence technical direction across teams.