Staff Software Engineer – Cloud Services

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

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Agiloft

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1991

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 $45M Private Equity Round on 2020-08

Legal • Consulting • Healthcare

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 Description

• Own the architecture of one or more critical cloud service domains, including design integrity, scalability, reliability, security, and technical debt management • Steward AWS-based services to remain scalable, resilient, cost-efficient, secure, and maintainable • Define service boundaries, APIs, data contracts, and integration patterns • Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures • Lead cloud architecture improvements for scalability, availability, performance, and operational efficiency • Translate architectural vision into mid- and long-term technical roadmaps • Drive cross-team alignment on design standards and architectural trade-offs • Partner with CloudOps teams on reliability targets, disaster recovery strategies, and operational readiness • Champion infrastructure-as-code, automated testing, continuous delivery, and observability-by-default • Lead adoption of AI-assisted engineering for development, infrastructure, testing, troubleshooting, and refactoring • Establish best practices and guardrails for responsible, secure AI tool use across the cloud SDLC • Set standards for reliability, security, observability, performance, and cost management • Improve developer experience through local development, CI/CD pipelines, deployment workflows, and operational tooling • Document architectural decisions, service contracts, and operational runbooks • Mentor senior and mid-level engineers • Unblock teams, accelerate architectural decisions, and reduce long-term operational complexity • Communicate cloud and systems concepts to technical and non-technical stakeholders • Monitor industry trends in AWS, cloud-native architectures, AI-enabled operations, and DevOps

🎯 Requirements

• 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 • 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

🏖️ Benefits

• Flexible work/life balance • Floating holidays • Quarterly, no-questions-asked wellness day • Employee Resource Groups (ERGs)

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