Cloud Engineering Tech Lead at Morgan Stanley responsible for designing and supporting AWS infrastructure. Collaborating with Cloud Security/Engineering staff to ensure secure operations and optimal performance.
About the role
- Staff Software Engineer responsible for cloud architecture on Agiloft's CLM platform. Leading design, scalability and reliability of cloud-native services integrated with AI.
Responsibilities
- Own the architecture of one or more critical cloud service domains, with responsibility for design integrity, scalability, reliability, security, and technical debt management over time.
- Act as the architectural steward for AWS-based services, ensuring systems remain scalable, resilient, cost-efficient, secure, and maintainable as customer and platform demands grow.
- Define service boundaries, APIs, data contracts, and integration patterns that enable independent evolution of cloud services.
- Drive cloud-native design principles, including stateless services, managed services adoption, and failure-tolerant architectures.
- Lead the planning and execution of cloud architecture improvements that enhance scalability, availability, performance, and operational efficiency.
- Translate architectural vision into mid- and long-term technical roadmaps, balancing near-term delivery with long-term cloud sustainability and cost optimization.
- Drive cross-team alignment on design standards and architectural trade-offs.
- Partner with CloudOps teams to define reliability targets, disaster recovery strategies, and operational readiness standards.
- Champion modern cloud-native development practices, including infrastructure-as-code, automated testing, continuous delivery, and observability-by-default.
- Lead adoption of AI-assisted software engineering for cloud service development, infrastructure definition, testing, troubleshooting, and refactoring.
- Design cloud services and infrastructure that are AI-friendly by design, enabling safer automation, faster iteration, and improved operational insight.
- Drive improvements to developer experience for cloud services, including local development, CI/CD pipelines, deployment workflows, and operational tooling.
- Promote a strong culture of ownership and continuous improvement.
- Mentor senior and mid-level engineers, raising the bar for cloud architecture, distributed systems design, and operational thinking.
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, with 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
- Floating holidays
- Quarterly, no-questions-asked wellness day
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