Staff Software Engineer – Platform and Cloud Services

• Own canonical data models and service boundaries within a critical platform domain


• Design durable, backward-compatible platform architectures and reusable abstractions


• Design AWS-native, event-driven, asynchronous, scalable, resilient, and cost-efficient services


• Architect backend systems supporting AI/ML workloads at scale


• Ensure tenant isolation, authentication, authorization, secure token handling, permission-aware data access, and credential management


• Lead technical design of major platform initiatives from design through release


• Partner with product and engineering leaders to translate customer and business needs into platform architectures


• Align cross-functional stakeholders around technical direction


• Produce design documents, service contracts, acceptance criteria, and API contracts


• Establish contract tests and permission-enforcement validation


• Champion infrastructure-as-code, automated testing, continuous delivery, and observability


• Lead platform modernization and refactoring initiatives


• Contribute across the stack when needed, with backend as the primary focus


• Unblock teams and accelerate architectural decisions


• Partner with CloudOps, Security, MLOps, and integration teams on reliability and operational-readiness standards


• Mentor senior and mid-level engineers


• Drive pragmatic adoption of rapidly evolving AI capabilities

Requirements

• 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


• Ability to drive technical outcomes across diverse stakeholders and teams without direct authority


• Track record of owning significant initiatives end to end, including release ownership


• Strong proficiency in Python; working experience in Java is a plus


• Deep experience designing, building, and operating scalable, enterprise-grade distributed systems on AWS


• Strong data-modeling and service-architecture skills


• Experience with high-throughput data pipelines, asynchronous processing, or ML/inference services at scale


• Solid grounding in application security and multi-tenancy, including 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, including logging, metrics, tracing, and alerting


• Habit of staying current with rapidly evolving AI capabilities and integrating them into work and design


• Excellent written and verbal communication in English


• Preferred: experience building AI/ML product services and data pipelines


• Preferred: experience integrating third-party SaaS platforms and connectors


• Preferred: search and retrieval systems experience


• Preferred: familiarity with CLM, contracts, or comparable enterprise B2B platforms

Core Competencies

Demonstrates expertise in designing and architecting scalable, AWS-native services with a focus on AI/ML workloads, while ensuring robust security and multi-tenancy. Proven ability to lead cross-functional teams and drive technical outcomes through effective communication and collaboration.

Highest-signal resume keywords

• AWS Architecture Design


• Python Proficiency


• Infrastructure-as-Code


• Data Modeling


• API Contract Design

ATS Optimization Keywords

Hard Skills

• Software Engineering


• Event-Driven Architecture


• Asynchronous Processing


• Distributed Systems


• Application Security


• CI/CD


• Observability


• High-Throughput Data Pipelines


• ML/Inference Services


• Token Handling

Soft Skills

• Leadership


• Communication


• Collaboration


• Mentoring


• Stakeholder Management

Certifications & Qualifications

• Bachelor's Degree in Computer Science


• Master's Degree in Information Systems

Industry Keywords

• AI/ML Product Services


• Multi-Tenancy


• Enterprise B2B Platforms


• Cloud Services


• SaaS Integration