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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in software architecture and platform engineering, with a strong focus on developing LLM-backed applications and ensuring compliance with financial services standards. Proven ability to lead architectural decisions, establish engineering standards, and mentor teams in a collaborative environment.
Highest-signal resume keywords
Software ArchitectureLLM-Backed Application DevelopmentCloud Experience (Azure/AWS)Authentication and Authorization Systems DesignFinancial Services Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptDockerKubernetesTerraformBicepPulumiAPI DesignEvent-Driven ArchitectureVector Search
Soft Skills
Technical LeadershipWritten CommunicationMentoring
Tools & Technologies
Azure DevOpsGitHub ActionsHelmDatabricksSpark
Industry Keywords
Investment ManagementAsset ManagementCapital Markets TechnologySOC 2Regulatory Audit Trails
Tech Stack
Tools & technologiesAWSAzureCloudDockerJavaScriptKubernetesNode.jsPythonSparkTerraformTypeScriptVault
About the role
Key responsibilities & impact- Serve as the front-deployed architecture lead, setting technical standards and architectural direction
- Develop reference implementations and deliver production-ready code alongside engineering teams
- Create design documents and Architecture Decision Records (ADRs)
- Evaluate and select technologies through hands-on implementation
- Provide technical leadership and final architectural direction when teams have differing approaches
- Own the effectiveness of architectural designs in production, ensuring solutions are practical, scalable, and executable
- Establish architectural patterns and standards guiding Full Stack and AI Engineers
- Partner with engineering teams to ensure solutions are built consistently with established architecture
- Drive architectural decisions from design through production implementation, with accountability for successful outcomes
- Design and build architecture for an AI platform supporting front office investment teams and globally used portfolio and research workflows
- Build governed APIs, agentic workflows, and access and audit models for entitlement-bound investment data
Requirements
What you’ll need- 8+ years in software architecture, platform engineering, or senior full-stack engineering, including ownership of systems in production
- Demonstrated experience architecting and shipping LLM-backed applications in production, including RAG, agents, or streaming assistants
- Deep expertise in at least one of Python or TypeScript/Node.js, with working fluency in the other
- Production cloud experience on Azure or AWS, with ability to go deep on Azure, including AKS, Entra ID, Key Vault, Blob Storage, and Azure DevOps/GitHub Actions
- Experience with Docker, Kubernetes, Helm, and Infrastructure as Code using Terraform, Bicep, or Pulumi
- Proven experience designing authentication and authorization systems, including SSO, MFA, RBAC or fine-grained/relationship-based authorization, delegated and on-behalf-of access, API key and secrets management
- Experience building audit and access controls satisfying external auditors, risk, or compliance reviewers
- Track record establishing engineering standards across multiple teams, including ADRs, CI enforcement, code review norms, and shared tooling
- Experience designing API abstraction layers and data contracts consumed by other teams
- Strong written communication for design documents, ADRs, and standards
- Comfortable operating as technical authority without formal management responsibility
- Experience with vector search and retrieval quality evaluation
- Experience with MCP or comparable agent tool-interface standards
- Experience with WebSockets, CRDTs, or event-driven architecture
- Experience owning a design system or shared component library at scale
- Platform consolidation experience
- Financial services compliance experience, including SOC 2, regulatory audit trails, or model governance
- Experience with entitlement systems, information barriers, or licensed data access constraints
- Investment management, asset management, or capital markets technology experience
- Databricks or Spark exposure
- Experience mentoring engineers and setting team culture and process norms
Benefits
Comp & perks- Flexible work environment
- Health insurance
- Dental insurance
- Mental health benefits
- Vision insurance
- Short- and long-term disability insurance
- Life and AD&D insurance coverage
- Adoption/surrogacy benefits
- Wellness benefits
- Employee/family assistance plans
- Retirement savings plans
- Pension/401(k) savings plans
- Global share ownership plan with employer matching contributions
- Financial education and counseling resources
- Up to 11 paid holidays
- 3 personal days
- 150 hours of vacation
- 40 hours of sick time, or more where required by law
- Statutory leaves of absence
- Learning and career growth support
- Incentive programs and incentive compensation tied to business and individual performance
- Reasonable accommodation during the application process
