Sr Platform Engineer Backend

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Baker Tilly is seeking a Sr Platform Engineer Backend to join the founding team of the firms AI Product Group (APG) supporting the development and operation of shared platform services that power AI applications and intelligent agents across the organization. This hands-on engineering role is responsible for designing building and maintaining scalable secure and reliable backend services APIs runtime components and integration capabilities that support both internally developed and third-party AI solutions. The position plays a critical role in establishing foundational platform capabilities including identity and access management enterprise data connectivity telemetry and production infrastructure while ensuring solutions are flexible maintainable and aligned with enterprise technology standards.

As an early member of the AI Product Group this individual will collaborate closely with platform leadership enterprise architects AI engineers data platform teams and globally distributed technical teams to develop production-ready services that enable the firms expanding AI ecosystem. The role emphasizes strong backend engineering fundamentals hands-on development security evaluation-driven engineering and end-to-end ownership of production systems. The ideal candidate brings demonstrated experience building and operating shared services implementing authentication and authorization capabilities and delivering reliable cloud-based solutions. Prior experience with AI large language models or agentic systems is not required; success in this role depends on sound technical judgment strong problem-solving abilities and the capacity to quickly learn and apply emerging technologies.

Responsibilities

• Design and Build Shared Platform Services: Develop implement and maintain scalable backend services APIs and runtime components that support AI agents enterprise applications and shared platform capabilities.
• Implement Identity and Access Management: Build secure authentication authorization and entitlement capabilities for users AI agents delegated agent activities and autonomous processes ensuring appropriate access controls and accountability.
• Develop Secure Data Access and Integration Interfaces: Build and maintain APIs service interfaces and Model Context Protocol (MCP) endpoints that enable AI agents to securely discover retrieve and interact with governed enterprise data.
• Support Flexible and Scalable Platform Architecture: Design reusable services and stable interfaces that enable the firm to integrate evaluate and replace AI models tools and third-party technologies without disrupting core platform operations.
• Develop Event-Driven and Telemetry Capabilities: Implement event-based interfaces logging tracing and telemetry pipelines that capture AI agent activity decisions and operational data to support monitoring evaluation and continuous improvement.
• Enable Evaluation-Based Development and Release Readiness: Partner with AI Engineering to integrate automated evaluations testing frameworks and performance baselines into development and deployment processes ensuring solutions meet established quality and production standards.
• Drive Platform Innovation and Continuous Improvement: Prototype test and evaluate emerging platform capabilities using measurable results to determine which solutions should be developed into scalable shared services.
• Own Production Deployment and Reliability: Build deploy monitor troubleshoot and maintain production services including CI/CD pipelines automated testing observability and operational support to ensure reliable system performance.
• Establish Engineering Standards and Reusable Components: Contribute to platform architecture technical documentation shared development patterns code reviews and engineering best practices that support consistent and maintainable solutions.
• Support Knowledge Transfer and Technical Ownership: Collaborate with external engineering partners to transition platform capabilities into internally owned documented and maintainable production environments including the development of reusable code tests and operational runbooks.
• Collaborate Across Global Engineering Teams: Work closely with AI Engineering Data & AI Platform enterprise architecture security integration engineering and engineering teams in India to align technical solutions with organizational standards and business objectives.
• Support Strategic Initiatives: Participate in special projects and perform other duties as assigned to advance the firms AI platform capabilities and business priorities.

Qualifications

• Bachelors degree in Computer Science Engineering or a related field; advanced degree preferred.
• 3 years of hands-on backend or platform software engineering experience including demonstrated success designing developing and operating production services used by other engineering teams.
• Required experience independently building deploying and operating shared backend services that other engineers or applications depend on in production including ownership of the associated build and deployment pipelines.
• Required hands-on experience implementing authentication authorization or entitlement capabilities within production applications or services.
• Deep proficiency in at least one mainstream programming language such as Python TypeScript Go or Java with demonstrated understanding of language fundamentals design patterns and production-quality development practices.
• Ability to quickly learn and apply new programming languages frameworks and technologies; familiarity with Python and TypeScript preferred.
• Strong experience with backend service development RESTful APIs service integration secure application design and distributed systems fundamentals.
• Experience working with relational databases such as PostgreSQL or comparable technologies including data modeling querying and integration with backend services.
• Hands-on experience with containers cloud infrastructure automated build processes and CI/CD pipelines supporting production applications.
• Strong software engineering fundamentals including system design automated testing debugging code reviews performance optimization and development of reliable maintainable services.
• Demonstrated ability to evaluate technical solutions through measurable outcomes including automated tests benchmarks experiments performance metrics or comparative evaluations.
• Experience with event-driven architectures messaging systems streaming technologies or asynchronous processing preferred.
• Familiarity with observability monitoring logging and distributed tracing technologies such as OpenTelemetry or comparable frameworks preferred.
• Experience with cloud platforms preferably Microsoft Azure and associated infrastructure deployment and security services preferred.
• Additional experience with enterprise identity and access management entitlement systems or secure service-to-service communication preferred.
• Familiarity with telemetry pipelines operational data integration or evaluation-based release processes preferred.
• Strong analytical thinking technical judgment and problem-solving skills with the ability to evaluate architectural trade-offs prioritize practical solutions and avoid unnecessary technical complexity.
• Excellent written and verbal communication skills including the ability to document technical solutions explain engineering decisions and collaborate effectively with technical and nontechnical stakeholders.
• Demonstrated ability to work independently manage competing priorities and deliver high-quality solutions in a fast-paced evolving environment.
• Ability to collaborate effectively with globally distributed engineering teams external technology partners and cross-functional stakeholders.
• Experience using AI-assisted and agentic development tools to improve engineering productivity or a strong willingness to incorporate these technologies into daily development practices.
• Prior experience with AI large language models or agentic systems is not required; strong backend engineering fundamentals and the ability to learn emerging technologies are essential.
• No professional certifications or licenses required.

The pay rate range for this job position are listed below. Actual compensation is influenced by a variety of relevant factors including but not limited to applicants skills prior experience qualifications degrees professional certifications work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.

The national pay rate range is $150000$225000

In California: pay rate range is $150000$225000

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