Principal Software Engineer

Take a leading role in building a scalable, secure, and resilient cloud-native platform that enables containerized applications to move across Azure regions and modernize their infrastructure. As a Principal Software Engineer, you will shape the architecture and implementation of production-grade Azure Kubernetes Service (AKS) environments. You will combine deep software engineering expertise with hands-on platform engineering, infrastructure automation, and DevOps practices. Working across engineering and architecture teams, you will establish technical standards and drive solutions that improve reliability, performance, and operational readiness. This role offers the opportunity to solve complex distributed systems challenges while supporting enterprise-scale applications and emerging AI-driven workloads. Join a collaborative, technology-focused environment that values technical excellence, continuous learning, and meaningful career growth.

The ideal candidate brings extensive software engineering experience, expert-level Go programming skills, and a strong background designing and operating enterprise-grade cloud-native systems. You should combine hands-on technical depth with architectural leadership, clear communication, and a commitment to engineering quality.

• 10+ years of software engineering experience, including designing and delivering large-scale distributed systems in cloud-native environments.

• Expert proficiency in Go (Golang), with substantial experience building microservices, APIs, and highly available backend platforms.

• Deep hands-on experience designing, deploying, and operating Kubernetes environments, including cluster architecture, networking, security, observability, autoscaling, and production support.

• Strong experience with Azure Kubernetes Service (AKS), Helm, GitOps, and containerized application workloads.

• Extensive Microsoft Azure expertise, including Azure Networking, Azure Storage, Azure DevOps, Azure Monitor, and cloud infrastructure automation.

• Advanced knowledge of Infrastructure as Code and DevOps practices, including Terraform, CI/CD pipelines, GitHub Actions, Azure DevOps, and GitOps deployment models.

• Proven ability to lead technical architecture decisions, establish engineering standards, mentor senior engineers, and influence the adoption of scalable and secure solutions.

• Experience building resilient, enterprise-grade systems with a focus on security, performance, observability, disaster recovery, and operational excellence.

• Strong understanding of distributed systems design, event-driven architectures, API development, and cloud security best practices.

• Excellent communication skills and the ability to collaborate with engineers, architects, and business stakeholders.

• A collaborative, delivery-focused mindset, with a willingness to learn, share knowledge, and grow through mentorship and feedback.

• Motivation to build practical AI systems and cloud platforms that deliver measurable business value.

• Experience with service mesh technologies, Kubernetes operators, and platform engineering initiatives.

• Familiarity with Azure security and identity services, including Microsoft Entra ID, role-based access control (RBAC), and workload identities.

• Experience supporting AI/ML, data-intensive, or high-throughput SaaS workloads running on Kubernetes.

• Relevant Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert.