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Staff Software Engineer - Platform and Cloud Services

Agiloft· Product – Engineering
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RemoteFull-timePosted 4w ago

About the role

Foundational staff-level backend and distributed-systems engineer responsible for ownership of one or more core platform domains within Agiloft’s Data-first Agreement Platform (DAP), focusing on architecture, scalability, reliability, security, and multi-tenant cloud services (AWS). Remote role with leadership across cross-functional teams, shaping platform direction and delivering end-to-end architectural initiatives.

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 and support AI/ML workloads
  • Architect the backend to enable and support AI/ML workloads at scale with focus on performance, scalability and cost efficiency
  • Act as architectural steward for these services to keep them scalable, resilient, secure, and maintainable
  • Drive cloud-native design principles: stateless services, managed-service adoption, and self-healing architectures
  • Treat tenant isolation, authentication, and authorization as first-class design concerns across every service and API
  • Design secure authentication and token-handling flows, permission-aware data access, and safe credential management for multi-tenant platform
  • Design for correct, isolated behavior across tenant, environment, and data-residency boundaries, and reason about security posture
  • Partner with product- and engineering leaders to translate business needs into platform architectures
  • Lead the technical design of major platform initiatives end to end and drive alignment across teams
  • Integrate diverse stakeholders and project teams around a shared technical direction
  • Produce design documents, service contracts, and acceptance criteria
  • Use AI-assisted tools to accelerate design and implementation while maintaining quality
  • Lead by example in applying AI-assisted engineering tools
  • Design clean, versioned API contracts with high-scale operations, deterministic behavior, idempotency, and structured error handling
  • Establish contract tests and permission-enforcement validation
  • Own initiatives end to end from design through release with high standards for reliability, security, observability, performance and cost
  • Champion infrastructure-as-code, automated testing, CD, and observability-by-default
  • Lead platform modernization and refactoring while maintaining delivery velocity and developer experience
  • Identify and drive improvements to engineering delivery
  • Contribute across the stack including UI when needed
  • Serve as a technical multiplier, mentor engineers, and stay ahead of AI evolution
  • Partner with CloudOps, Security, MLOps, and integration teams to define reliability targets and clean interfaces
  • Mentor senior and mid-level engineers and advocate pragmatic AI adoption

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 cross-team technical direction
  • Ability to drive technical outcomes across diverse stakeholders without direct authority
  • Track record of owning significant initiatives end to end including release ownership
  • Strong proficiency in Python (Java a plus)
  • Deep experience designing, building, and operating scalable, enterprise-grade distributed systems on AWS
  • Strong data-modeling and service-architecture skills
  • Experience designing backend systems for demanding workloads, high-throughput data pipelines, asynchronous processing, or ML/inference services at scale
  • Solid grounding in application security and multi-tenancy: authentication/authorization, token handling, tenant isolation, 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, alerting)
  • Demonstrated habit of staying current with AI capabilities and integrating them into work
  • Excellent written and verbal English communication

Skills

Required:Python
Nice to have:Java

Benefits

  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance (Employee/Spouse/Child)
  • Flexible Spending Accounts (Health care and dependent care)
  • 401(k) with company match
  • Paid time off with flexible vacation for eligible salaried positions
  • Paid parental leave
  • Voluntary benefits including pet insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Agiloft

CLM with AI on the inside™

Set the bar higher with Agiloft's contract lifecycle management software that automates your processes, reduces risk, & drives more revenue.

Contract Lifecycle ManagementCLM PlatformAI PlatformData-first Agreement Platform
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