Staff Software Engineer, Dev Ops

About This Opportunity

We are representing a confidential SaaS organization seeking a Staff Software Engineer, DevOps to join their growing engineering team. This is a fully remote position based in the United States.

Our client operates a global cloud platform serving enterprise customers at scale. As a Staff-level engineer, you will serve as a senior technical leader responsible for designing, building, and evolving infrastructure, automation, and cloud platform capabilities. You will partner closely with engineering, product, security, and operations teams to establish scalable DevOps practices, accelerate software delivery, and improve platform reliability.

This role goes beyond operational support. You will influence architectural decisions, drive modernization initiatives, and champion best practices that improve developer productivity, system scalability, and operational excellence. You will be a trusted technical expert, helping teams navigate complex infrastructure challenges while advancing cloud transformation strategy.

Responsibilities

DevOps Architecture & Technical Leadership

• Serve as a technical leader for DevOps initiatives across engineering teams
• Define architectural standards and best practices for infrastructure, deployment automation, and operational excellence
• Drive strategic initiatives that improve scalability, resiliency, and platform performance
• Provide mentorship and technical guidance to engineers across the organization

Continuous Integration & Continuous Delivery

• Design, implement, and optimize enterprise-scale CI/CD pipelines that accelerate software delivery
• Establish automation strategies that improve deployment consistency, quality, and release velocity
• Partner with development teams to streamline build, test, deployment, and release processes
• Drive adoption of DevOps best practices throughout the software development lifecycle

Cloud Platform Engineering

• Architect, build, and maintain highly available cloud environments across AWS and Microsoft Azure
• Lead infrastructure modernization efforts using Infrastructure-as-Code methodologies
• Develop scalable cloud-native solutions that support current and future business requirements
• Optimize platform performance, reliability, security, and operational costs

Containerization & Kubernetes Enablement

• Design and support enterprise-grade containerized environments utilizing Docker and Kubernetes
• Define deployment patterns and operational standards for Kubernetes-based workloads
• Lead initiatives focused on orchestration, scalability, observability, and platform automation
• Drive adoption of cloud-native development and deployment practices

Infrastructure Automation & Reliability

• Develop Infrastructure-as-Code solutions using technologies such as Terraform and CloudFormation
• Build automated solutions for provisioning, configuration management, compliance, and operational support
• Improve monitoring, alerting, logging, and incident response capabilities across cloud environments
• Champion Site Reliability Engineering (SRE) principles and reliability-focused engineering practices

Security & Compliance

• Partner with security teams to implement cloud security best practices and compliance requirements
• Design solutions that support encryption, identity management, access controls, and network security
• Lead efforts to strengthen platform resilience through disaster recovery and fault-tolerant architectures
• Ensure infrastructure solutions align with security and governance standards

What We're Looking For

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline, or equivalent practical experience
• 8+ years of experience designing, building, and supporting large-scale cloud infrastructure and software delivery platforms
• Proven success leading complex DevOps, cloud modernization, or platform engineering initiatives within SaaS organizations
• Experience architecting highly available, fault-tolerant systems supporting mission-critical workloads
• Demonstrated ability to influence technical strategy and drive engineering best practices across multiple teams

Technical Requirements

• Deep understanding of microservices architectures and cloud-native application design principles including SaaS, PaaS, IaaS, and multi-tenant platforms
• Advanced expertise with AWS and/or Microsoft Azure cloud services and infrastructure management
• Strong experience with Infrastructure-as-Code frameworks including Terraform and CloudFormation
• Extensive knowledge of Kubernetes, Docker, and modern container orchestration technologies
• Strong understanding of networking concepts including DNS, TCP/IP, VPNs, firewalls, routers, and network security
• Experience implementing cloud security frameworks, identity management, and compliance controls
• Working knowledge of software development technologies including.NET Core/.NET Framework, Java, and JavaScript
• Demonstrated ability to troubleshoot and solve complex infrastructure and application challenges

Preferred Qualifications

• AWS, Microsoft Azure, Kubernetes, or other cloud platform certifications
• Experience architecting and operating large-scale Kubernetes environments
• Experience designing globally distributed, highly resilient cloud platforms
• Expertise with disaster recovery planning, business continuity, and fault-tolerant architectures
• Strong understanding of security frameworks, including OAuth, WS-Security, encryption at rest, and encryption in transit
• Experience implementing Site Reliability Engineering (SRE) practices and observability frameworks
• Experience working within Agile development environments utilizing Atlassian Jira and modern DevOps toolchains
• Background supporting enterprise SaaS products at scale

How We Work With You

When you apply through Get A Job.ai, our talent team will carefully review your qualifications against our client's requirements. If there's a strong match, we'll schedule a screening conversation to learn more about your experience, technical background, and career goals.

Once we've confirmed alignment, we'll submit your profile to our client for consideration and guide you through their interview process. We act as your advocate throughout, providing feedback and coaching at each stage.

Important: Please apply exclusively through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Pay via Get A Job.ai: $105,540 - $168,860 USD base salary, plus variable incentive pay component and comprehensive benefits including medical and dental insurance.

Final compensation will be determined based on your skills, experience, and relevant education or training.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive environment. We provide equal employment opportunities to all qualified applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.