Staff Software Engineer - Cloud Platform Engineering

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Staff Software Engineer - Cloud Platform Engineering will be responsible for designing and maintaining robust cloud infrastructure while improving reliability, automation, and engineering efficiency. Key responsibilities include:

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure across platforms such as AWS, GCP, or Azure.
• Develop infrastructure-as-code solutions using tools such as Terraform, CloudFormation, and other automation frameworks.
• Apply Site Reliability Engineering (SRE) principles to improve system reliability, availability, performance, and operational maturity.
• Build and maintain monitoring, logging, alerting, and observability solutions to proactively identify and resolve issues.
• Perform capacity planning, scalability analysis, and demand forecasting to support business growth.
• Deploy and manage applications using Kubernetes and Helm, ensuring efficient container orchestration and lifecycle management.
• Design and improve CI/CD pipelines to automate software and infrastructure delivery processes.
• Create automation scripts and internal tools to streamline operations and improve engineering productivity.
• Ensure cloud environments meet security, compliance, and governance requirements through best practices and regular assessments.
• Collaborate with engineering, product, and operations teams to deliver reliable, high-quality solutions.
• Mentor and support other engineers by sharing technical knowledge, improving engineering practices, and promoting continuous learning.

Requirements:

The ideal candidate is an experienced cloud engineering professional with strong expertise in infrastructure, automation, and reliability engineering. Required qualifications include:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
• 7+ years of experience in cloud engineering, site reliability engineering, DevOps, or related technical roles.
• Strong hands-on experience with cloud platforms such as AWS, GCP, or Azure and cloud-native technologies.
• Expertise with infrastructure-as-code tools including Terraform and configuration management solutions such as Ansible, Chef, or Puppet.
• Strong knowledge of Kubernetes, Helm, containerized environments, and modern cloud deployment practices.
• Experience implementing SRE principles, including SLIs, SLOs, error budgets, incident management, and reliability practices.
• Proficiency with monitoring and observability platforms such as Prometheus, Grafana, or similar solutions.
• Experience building and managing CI/CD pipelines using tools such as Jenkins, GitLab CI, CircleCI, or comparable platforms.
• Strong programming skills in languages such as Python, Go, or similar, with experience using Git-based workflows.
• Familiarity with AI-driven operations (AI-Ops) and automation approaches is preferred.
• Understanding of cloud security best practices and experience with compliance frameworks such as ISO 27001, SOC 2, or PCI DSS is a plus.
• Excellent problem-solving skills with strong attention to detail and the ability to troubleshoot complex technical challenges.
• Strong communication and collaboration skills, with the ability to work effectively across teams and influence technical decisions.

Benefits:

• Competitive salary range of $180,000 - $200,000 USD.
• Fully remote work opportunity for candidates based in the United States.
• Opportunity to work on innovative cloud infrastructure and AI-powered software delivery technologies.
• Collaborative environment with talented engineering teams across multiple locations.
• Career growth opportunities through mentorship, technical leadership, and continuous learning.
• Ability to contribute to large-scale systems serving enterprise customers.
• Supportive workplace culture focused on innovation, inclusion, and engineering excellence.