Position Overview We are seeking an experienced Staff Software Engineer – Cloud Services to own and evolve the architecture of Agiloft’s cloud-native CLM platform and supporting infrastructure. This role has end-to-end accountability for the design, reliability, scalability, security, and long-term health of cloud services that underpin the Agiloft platform. Operating at both the platform- and organizational level, you will partner closely with Engineering leadership, senior engineers, and product leaders to translate business- and product strategy into durable cloud architectures and executable technical plans. A key focus of this role is designing and enabling scalable, observable, and resilient cloud services on AWS, while accelerating delivery through modern DevOps- and AI-assisted engineering practices. This is a hands-on leadership role combining deep cloud and backend expertise with broad influence. Your work will directly shape Agiloft’s cloud architecture, operational posture, developer experience, and ability to scale reliably as the platform evolves.
- Job Responsibilities
- Architecture Ownership & Stewardship
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.
Strategic Technical Leadership
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.
Cloud native & AI-Forward Engineering Enablement
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.
Engineering Excellence & Developer Experience
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.
Mentorship & Organizational Impact
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.
- Required 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.
