Principal Software Engineer

Accountabilities:

As a Principal Software Engineer, you will lead the design, development, and operation of a repeatable Kubernetes platform across multiple Azure regions. You will guide architectural decisions, improve deployment practices, and ensure that cloud-native workloads remain secure, resilient, and operationally reliable.

• Design, deploy, and operate production-ready Azure Kubernetes Service (AKS) clusters across multiple Azure regions and availability zones.
• Develop standardized regional cluster architectures using Terraform, Bicep, and automated infrastructure deployment pipelines.
• Implement GitOps-based application deployment workflows using Flux, Argo CD, or equivalent technologies.
• Design and optimize Kubernetes node pools, autoscaling, cluster upgrades, maintenance windows, pod disruption policies, workload scheduling, and resilience strategies.
• Implement secure workload identity and secrets management using Microsoft Entra ID, managed identities, Azure Key Vault, and CSI drivers.
• Engineer ingress and egress architectures using Azure Application Gateway, NGINX, service mesh technologies where appropriate, and Azure Front Door for global routing.
• Establish container registry and image management practices, including Azure Container Registry (ACR), vulnerability scanning, image governance, and regional image availability.
• Build comprehensive observability capabilities using Azure Monitor, Container Insights, managed Prometheus and Grafana, OpenTelemetry, and centralized log aggregation.
• Support application migration and modernization, including Helm chart improvements, persistent storage decisions, configuration externalization, and regional portability.
• Troubleshoot complex production issues involving Kubernetes networking, DNS, identity, scaling, storage, and deployment failures.
• Lead technical architecture decisions, establish engineering standards, and mentor senior engineers to promote scalable, secure, and reliable cloud-native solutions.
• Drive continuous improvement in infrastructure automation, CI/CD, disaster recovery, security, performance, and operational excellence.
• Collaborate with engineering, architecture, and cross-functional stakeholders to deliver cloud-native platforms that support business-critical applications and AI-driven solutions.

Requirements:

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.

Preferred Qualifications:

• 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.

Benefits:

• Annual salary: $160,000.
• Fully remote work, with flexibility to work from another location, including internationally, for up to 30 consecutive calendar days per year.
• Career development opportunities, including continuous learning, upskilling, and potential advancement.
• Supportive, collaborative culture built around the values of ambition, care, teamwork, and community impact.
• Family and well-being support, with a benefits offering designed to help employees and their families enjoy a meaningful life.
• Inclusive workplace, with equal employment opportunities and consideration for reasonable accommodations during the interview process.