- 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
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Staff Software Engineer – Platform and Cloud Services Arbeitgeber: Jobtailor
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