Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
This is a foundational engineering role. You will own a critical domain of the platform on which Agiloft's CLM product is built as one of a small team of staff engineers who each own a core part of the platform and shape its direction together. This is a backend- and distributed-systems–weighted position with deep ownership of your domain and end-to-end accountability for its design, scalability, reliability, and security as the product and customer base grow.
You will work across the organization with engineering leaders, senior engineers, product leaders, and partner teams to understand where the product is going, translate business and product goals into durable platform architectures, and align diverse stakeholders on the technical direction. This means, you will set architectural direction alongside a peer group of staff engineers of your caliber. This is a hands-on leadership role that combines deep backend and cloud expertise with the influence to drive architecture across functional boundaries.
Job Responsibilities
- Own the canonical data models and service boundaries in your domain
- Design models and boundaries that let independent systems evolve in parallel without duplicating logic or creating competing implementations
- Evolve the platform through additive, backward-compatible changes that introduce new capabilities without disrupting existing behavior.
- Own the architecture of one or more critical platform domains, with responsibility for design integrity, scalability, reliability, security, and long-term technical health.
- Design AWS-native, event-driven and asynchronous services that scale on demand, degrade gracefully under load, and remain cost-efficient as volume grows.
- Architect the backend to enable and support AI/ML workloads at scale with a focus on performance, scalability and cost efficiency.
- Act as architectural steward for these services, keeping them scalable, resilient, secure, and maintainable as customer and platform demands grow.
- Drive cloud-native design principles: stateless services, managed-service adoption, and failure-tolerant, self-healing architectures.
- Treat tenant isolation, authentication, and authorization as first-class design concerns across every service and API you own.
- Design secure authentication and token-handling flows, permission-aware data access, and safe credential management for an enterprise, multi-tenant platform.
- Design for correct, isolated behavior across tenant, environment, and data-residency boundaries, and reason explicitly about security posture and blast radius when centralizing sensitive capabilities.
- Partner with product- and engineering leaders to develop a deep understanding of customer and business needs and translate them into platform architectures that solve the problem
- Lead the technical design of major platform initiatives end to end, and drive alignment across teams and functions whose priorities and incentives do not always converge.
- Integrate diverse stakeholders and project teams around a shared technical direction, navigating differing functional interests with sound judgment and strong interpersonal skill.
- Produce clear, rigorous design documents, service contracts, and acceptance criteria that others can review, build on, and trust, setting the standard for technical design on the team.
- Use AI-assisted tools to accelerate and sharpen design and implementation, applying the judgment to know where they add leverage and where deeper thinking is required.
- Lead by example in applying AI-assisted engineering tools to accelerate architecture, design, implementation, and testing, using sound technical judgment to amplify productivity without compromising quality, maintainability, or depth of thinking.
- Design clean, versioned API contracts on top of the platform's data models — including high-scale bulk and asynchronous operations — with deterministic behavior, idempotency, structured error handling, and well-defined limits.
- Establish contract tests and permission-enforcement validation as first-class parts of every API you design.
- Own initiatives end to end from design through release, with accountability for product quality in your domain and high standards for reliability, security, observability, performance, scalability, usability, and cost across the services you own
- Champion modern practices: infrastructure-as-code, automated testing, continuous delivery, and observability-by-default
- Lead platform-modernization and refactoring initiatives while maintaining delivery velocity and improve the developer experience for the services you own.
- Identify and drive improvements to how the engineering organization designs and delivers
- Contribute across the stack when an initiative calls for it, including UI layers on top of the platform services you build; backend remains the primary focus.
- Serve as a technical multiplier unblocking teams, accelerating architectural decisions, and reducing long-term complexity.
- Partner with CloudOps, Security, MLOps, and integration teams to define reliability targets, operational-readiness standards, and clean interfaces between domains.
- Mentor senior and mid-level engineers, raising the bar for data-model and systems design, security, and design-document quality.
- Stay ahead of a fast-moving industry, particularly the rapid evolution of AI capabilities, and drive pragmatic adoption where it delivers clear business value.
- Other duties as assigned.
DATA MODEL & PLATFORM ARCHITECTURE
DISTRIBUTED SYSTEMS & CLOUD ARCHITECTURE (AWS)
SECURITY & MULTI-TENANCY
TECHNICAL LEADERSHIP & CROSS-FUNCTIONAL INFLUENCE
API DESIGN
DELIVERY & ENGINEERING EXCELLENCE
ORGANIZATIONAL IMPACT & MENTORSHIP
Required Qualifications
- Bachelor's and/or master's degree in Computer Science, Information Systems, Software or Electrical/Electronics Engineering, or a comparable field.
- 8+ years of professional software engineering experience, including 2+ years at staff level.
- Demonstrated leadership of architecture decisions spanning multiple teams with concrete examples of driving cross-team technical direction to a decision.
- Proven ability to drive technical outcomes across diverse stakeholders and teams that report into different functions, aligning divergent interests without direct authority.
- Track record of owning significant initiatives end to end, including release ownership.
- Strong proficiency in Python (working experience in Java a plus), building backend and cloud-based services.
- Deep experience designing, building, and operating scalable, enterprise-grade distributed systems on AWS.
- Strong data-modeling and service-architecture skills, with a track record of building durable, reusable abstractions that other teams adopt and extend without rework.
- Experience designing backend systems that enable demanding workloads wih high-throughput data pipelines, asynchronous processing, or ML/inference services at scale and with cost-efficiently.
- Solid grounding in application security and multi-tenancy: authentication/authorization, token handling, tenant isolation, and permission-aware data access.
- Experience designing high-scale API contracts
- Strong experience with infrastructure-as-code and CI/CD for cloud services.
- Strong understanding of observability in distributed systems: logging, metrics, tracing, and alerting.
- A demonstrated habit of staying current with rapidly evolving AI capabilities and integrating them into how you work and design.
- Excellent written and verbal communication in English
Preferred Qualifications
- Building services that support AI/ML product features and data pipelines
- Integrating third-party SaaS platforms and connectors with attention to security and reliability.
- Search and retrieval systems
- Domain familiarity with CLM, contracts, or comparable enterprise B2B platforms.
Additional Experience (a plus)
Background checks will be conducted on an ongoing basis every 3 years or as needed for individuals in this role.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at [email protected].
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Similar Jobs
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Leads Motive’s internal communications strategy, narrative, and cadence across company-wide forums, executive messaging, video, Slack, intranet, email, and other channels. Advises executives, supports crisis and change communications, aligns internal and external messaging, measures employee sentiment, and improves engagement programs. The role also partners with Corporate Communications, Legal, and People teams and mentors communications talent while remaining an individual contributor.
Top Skills:
Ai-Enabled ToolsEmailIntranetSlackVideo Communications
Beauty • Robotics • Design • Appliances • Manufacturing
Provides Tier 1 IT support for global associates, troubleshooting Windows and macOS endpoints, networks, identity and access, Microsoft 365, and software issues. Manages onboarding, offboarding, endpoint provisioning, and device administration using Intune, Autopilot, and Jamf. Documents resolutions, supports major incidents, escalates complex issues, and improves support processes. Requires up to 10% domestic and international travel and occasional after-hours support.
Top Skills:
Active DirectoryConfluenceiOSJAMFJira Service ManagementmacOSMicrosoft 365Microsoft Entra IdMicrosoft IntuneWifiWindowsWindows Autopilot
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Owns new-logo acquisition and expansion across enterprise accounts for Mastercard Identity’s fraud and identity data products. The role prospectively builds pipeline, manages consultative and technical sales cycles, engages fraud, payment risk, trust and safety, data science, and engineering stakeholders, represents the company at industry events, and accurately forecasts against quota.
Top Skills:
APIsData ScienceFraud ModelsIdentity DataWeb-Based Portals
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
