Sr. Software Engineer

Responsibilities:

• Design, develop, and maintain backend services, APIs, microservices, and cloud-native applications supporting AI platform capabilities.
• Own software throughout its lifecycle, including design, implementation, deployment, production support, monitoring, and continuous improvement.
• Build scalable, resilient, and secure distributed systems using modern software engineering practices.
• Collaborate with AI Platform Engineers to deliver production-ready platform services supporting conversational AI, agentic AI, and consumer-facing AI applications.
• Develop and maintain CI/CD pipelines that enable reliable, automated software delivery.
• Deploy and operate containerized applications using Kubernetes and cloud-native platforms.
• Participate in production support, troubleshooting, root cause analysis, and post-incident improvements.
• Implement application monitoring, logging, and observability practices to improve software reliability and operational visibility.
• Drive software engineering best practices through architecture discussions, code reviews, automated testing, and mentoring junior engineers.
• Partner with Platform Engineering teams to continuously improve reliability, scalability, security, and developer productivity.

Requirements:

• Bachelor's degree in computer science, software engineering, information systems, or a related field, or equivalent practical experience.
• 7+ years of software engineering experience building and operating cloud-native production software.
• Strong programming experience in Java, Python, or Go.
• Experience designing and developing distributed systems, microservices, REST APIs, and event-driven applications.
• Experience building cloud-native applications using Kubernetes and container technologies.
• Experience implementing CI/CD pipelines and automated software delivery practices.
• Experience supporting production software applications, troubleshooting complex issues, and driving operational improvements.
• Strong understanding of software architecture, scalability, resiliency, performance optimization, and secure software development.
• Experience collaborating across distributed Agile engineering teams.
• Excellent communication, technical leadership, and mentoring skills.

Must-Have Skills:

• Software engineering leadership and technical mentoring.
• Java, Python, or Go.
• Distributed systems and microservices.
• REST APIs and backend software architecture.
• Cloud-native software development.
• Kubernetes application deployment and operations.
• CI/CD and software delivery automation.
• Production software support and troubleshooting.
• SDLC and Agile engineering practices.
• Observability and application monitoring concepts.

Nice to Have:

• Familiarity with Infrastructure-as-Code (Terraform or similar).
• Experience with monitoring and observability platforms such as Prometheus, Grafana, Splunk, Datadog, or OpenTelemetry.
• Familiarity with reliability engineering concepts, including SLIs, SLOs, and error budgets.
• Experience supporting AI platforms, LLM-powered services, or conversational AI applications.
• Experience with Model Context Protocol (MCP), API gateways, or enterprise integration patterns.
• Experience working with Agentic AI platform teams or consumer-facing AI application teams.