Staff Cloud Services Engineer — AI‑Driven, AWS‑Scale

Agiloft, Inc.; Oregon; Híbrido; USD 180.000 - 270.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, and vision insurance

Disability insurance (short & long)

Life insurance

401(k) with company match

Paid time off

Parental leave

Pet insurance

Descripción de la vacante

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 design, reliability, scalability, and security across AWS-based services, shaping the platform's long-term health and performance. You will collaborate with engineering leadership to translate business strategy into durable cloud architectures, lead modernization initiatives, and mentor engineers to raise the

Formación

• 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.

Responsabilidades

• 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.
• Other duties as assigned.

Conocimientos

Python

Java

AWS

Cloud architectures

Leadership

Distributed systems

Observability

IaC (Terraform / CloudFormation)

CI/CD pipelines

AI-assisted development

Educación

Bachelor’s or Master’s in CS or related field

Herramientas

Terraform

CloudFormation

CI/CD tooling

Descripción del empleo

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 design, reliability, scalability, and security across AWS-based services, shaping the platform's long-term health and performance. You will collaborate with engineering leadership to translate business strategy into durable cloud architectures, lead modernization initiatives, and mentor engineers to raise the