Staff Cloud Architect – AWS & AI-Driven Platform Leader

Agiloft, Inc.; United States; On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off / Flexible vacation

Paid parental leave

Short-term and long-term disability

Life insurance and AD&D

Pet insurance

Job summary

Agiloft, Inc. is seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the cloud-native CLM platform architecture and supporting infrastructure.

You will drive end-to-end design for scalable, observable, and secure cloud services on AWS, partnering with leadership to translate strategy into durable technical plans. You will lead architectural improvements, guide multiple teams, and champion modern cloud-native practices including infrastructure-as-code and AI-assisted

Qualifications

• Bachelor’s and/or master’s degree in computer science, Information Systems, Software, Electrical, or Electronics Engineering, or a comparable field of study.
• 10+ years of professional software engineering experience.
• 2+ years at staff level.
• Strong proficiency in Python, with working experience in Java, building backend- and cloud-based services.
• Deep experience designing, building, and operating scalable enterprise-grade applications on AWS
• Demonstrated experience owning and evolving architecture for complex, distributed, and long-lived cloud platforms.
• Proven ability to lead service refactoring, software architecture modernization, and platform evolution initiatives while maintaining delivery velocity.
• Strong experience with infrastructure-as-code and automation tools such as Terraform or CloudFormation.
• Experience designing and evolving CI/CD pipelines for cloud services.
• Strong understanding of observability, including logging, metrics, tracing, and alerting in distributed systems.
• Proficiency with AI-assisted development processes and tools.
• Ability to reason holistically about distributed systems while diving deep into critical technical details when needed.
• Exceptional problem-solving skills with a track record of making sound architectural and operational trade-offs.
• Demonstrated ability to influence technical direction across teams through expertise, communication, and trust.
• Excellent written and verbal communication skills, particularly around architecture, risk, reliability, and long-term technical strategy.

Responsibilities

• Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time.
• Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow.
• Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services.
• Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures.
• Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency.
• Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization.
• Drive cross-team alignment on design standards and architectural trade-offs.
• Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards.
• Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default.
• Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring.
• Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight.
• Collaborate with engineering leadership to establish best practices and guardrails for responsible, secure use of AI tools across the cloud SDLC.
• Set and uphold high standards for service reliability, security, observability, performance, and cost management.
• Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling.
• Ensure architectural decisions, service contracts, and operational runbooks are well-documented, discoverable, and actionable.
• Promote a strong culture of ownership and continuous improvement.
• Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking.
• Serve as a technical multiplier—unblocking teams, accelerating architectural decisions, and reducing long-term operational complexity.
• Communicate complex cloud and systems concepts clearly to both technical and non-technical stakeholders.
• Stay ahead of industry trends in AWS services, cloud-native architectures, AI-enabled operations, and DevOps practices, driving pragmatic adoption where it delivers clear business value.

Skills

Python

Java

AWS

Cloud architecture

Observability

Infrastructure as code

CI/CD

AI-assisted development

Distributed systems

Leadership

Communication

Education

Bachelor’s or master’s degree in CS/IS/Software/Electrical/Electronics

Tools

Terraform

CloudFormation

Job description

Agiloft, Inc. is seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the cloud-native CLM platform architecture and supporting infrastructure.

You will drive end-to-end design for scalable, observable, and secure cloud services on AWS, partnering with leadership to translate strategy into durable technical plans. You will lead architectural improvements, guide multiple teams, and champion modern cloud-native practices including infrastructure-as-code and AI-assisted