Software Engineer II, Cloud Infrastructure - Slack
Ladders · United States
- Hybrid
- Full-time
- $135,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Lead cloud infrastructure projects for enterprise technology.
- Architect scalable and reliable internal platforms.
- Utilize AWS, containerization, and virtualization.
- Improve infrastructure-as-code with Terraform.
- Design systems for application management and scaling.
About the role
Software Engineer II, Cloud Infrastructure - Slack
For our client, we are seeking a Software Engineer II Cloud Infrastructure - Slack to join the team of a leader in the Enterprise Technology space. This role will lead technical work focused on cloud-enabled scalability, reliability, and delivery excellence. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a technology-driven environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $120,000 – $150,000 annually
Responsibilities
- Own software projects from scoping to delivery
- Architect next-generation internal platforms for rapid innovation
- Deliver solutions using containerization, virtualization, and AWS services
- Improve Terraform modules for infrastructure-as-code management
- Design in-house systems for application management and scaling
- Identify performance bottlenecks with development teams for cloud efficiency
- Build trusted relationships with service owners as an advisor on cloud best practices
Qualifications
- U.S. Citizenship or Permanent Residency required (no visa sponsorship available)
- Genuine curiosity about cloud infrastructure and a passion for knowledge sharing
- Ability to optimize and improve reliability in high-traffic applications
- Strong mentoring skills and commitment to engineering excellence
- Deep hands-on AWS experience with competency in multiple services
- Familiarity with infrastructure-as-code tools like Terraform and/or CloudFormation
- 3+ years of professional cloud engineering experience
Benefits
- Comprehensive support for work-life balance
- Resources to accelerate personal and professional growth
- Access to advanced AI tools to enhance productivity
- Opportunities to shape the future of technology and AI
- Focus on employee well-being and development
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Key skills/competency
- Cloud Infrastructure Engineering
- AWS
- Terraform
- Containerization
- Virtualization
- Scalability
- Reliability
- Infrastructure as Code
- Performance Optimization
- Software Architecture
Skills & topics
- Software Engineer
- Cloud Infrastructure
- AWS
- Terraform
- Containerization
- Virtualization
- Infrastructure as Code
- Scalability
- Reliability
- Remote
How to get hired
- Customize your resume: Highlight your AWS, Terraform, and cloud engineering experience (3+ years).
- Showcase soft skills: Emphasize mentoring, knowledge sharing, and collaboration.
- Tailor your application: Address specific requirements like U.S. Citizenship/Residency.
- Prepare for technical interviews: Be ready to discuss cloud architecture and infrastructure-as-code.
- Network strategically: Connect with team members on LinkedIn to learn more.
Technical preparation
Master AWS services and their best practices.,Practice infrastructure-as-code with Terraform/CloudFormation.,Understand containerization and virtualization concepts.,Build scalable and reliable cloud architectures.
Behavioral questions
Describe a complex cloud project you led.,How do you mentor junior engineers?,Share an example of improving reliability.,How do you collaborate with stakeholders?
Frequently asked questions
- What are the key technical skills for a Software Engineer Cloud Infrastructure at Ladders?
- For the Software Engineer II Cloud Infrastructure role at Ladders, key technical skills include deep hands-on AWS experience with multiple services, familiarity with infrastructure-as-code tools like Terraform or CloudFormation, and proficiency in containerization and virtualization. Proven experience in cloud engineering (3+ years) and the ability to optimize high-traffic applications are also crucial.
- Does Ladders sponsor visas for their Software Engineer II Cloud Infrastructure position?
- No, Ladders does not offer visa sponsorship for this Software Engineer II Cloud Infrastructure position. Candidates must already have U.S. Citizenship or Permanent Residency.
- What is the expected salary range for a Software Engineer II Cloud Infrastructure at Ladders?
- The estimated annual salary range for the Software Engineer II Cloud Infrastructure position at Ladders is between $120,000 and $150,000, depending on experience and qualifications.
- What is the work arrangement for the Software Engineer II Cloud Infrastructure role?
- The Software Engineer II Cloud Infrastructure position is a remote role, specifically for candidates based within the United States.
- What kind of projects will a Software Engineer Cloud Infrastructure work on at Ladders?
- A Software Engineer Cloud Infrastructure at Ladders will lead technical work on cloud-enabled scalability, reliability, and delivery excellence. This includes architecting next-generation internal platforms, delivering solutions with containerization and AWS services, improving infrastructure-as-code with Terraform, and designing systems for application management and scaling.
- What is Ladders' approach to employee growth for Software Engineers?
- Ladders is committed to employee growth, offering resources to accelerate personal and professional development, access to advanced AI tools for productivity, and opportunities to influence technology and AI's future.