Build backend services, APIs, BFFs, orchestration layers, and reusable business services for a Sales Command Center. Integrate Microsoft Dynamics 365 and Dataverse with enterprise systems using secure REST, asynchronous, and event-driven patterns. Implement authentication, resilience, caching, read models, observability, testing, and CI/CD. Troubleshoot production integrations across user interfaces, backend services, APIs, and CRM systems.
StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.
We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.
Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.
At StatusNeo, we don’t just talk about AI transformation.
We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models
ROLE MANDATE
Build the backend services, APIs and orchestration layer behind the Sales Command Center. The role sits between the web/iOS experiences and Dynamics 365, creating reusable services that combine CRM information with data and workflows from other enterprise platforms.
KEY RESPONSIBILITIES
• Design and develop backend services using Python and FastAPI.
• Build BFFs, domain APIs and reusable business services supporting the Sales Command Center.
• Implement secure integration with Microsoft Dynamics 365 / Dataverse.
• Build orchestration services combining CRM data, documents, customer context, sales workflows and other enterprise systems.
• Implement REST APIs, asynchronous workflows and event-driven integration patterns.
• Build Dynamics adapter / anti-corruption layers so UI and domain services do not become tightly coupled to CRM schemas.
• Implement authentication, authorization, idempotency, retries, timeouts, circuit breakers, rate limits, caching and canonical error handling.
• Develop read models and caching patterns where high-volume requests should not directly hit Dynamics.
• Use Azure API Management, Service Bus / Event Grid, Key Vault and Azure Monitor / Application Insights.
• Write unit, integration and contract tests and contribute to CI/CD quality gates.
• Troubleshoot production and integration issues across UI, APIs, backend services and Dynamics.
REQUIRED SKILLS
• Python
• FastAPI
• REST APIs and microservices
• Azure application development
• Azure API Management
• Azure Service Bus / Event Grid
• Azure Functions / App Service / containers
• SQL / NoSQL
• Redis or equivalent caching
• OAuth 2.0 / OIDC / JWT
• Observability and distributed tracing
• CI/CD and automated testing
• Dynamics 365 / Dataverse Web API
• Dynamics workflows, security roles and service limits
PREFERRED EXPERIENCE
• Headless CRM implementation experience
• BFF and API gateway architecture
• Event-driven read-model patterns
• CRM integration with document, analytics or customer-data platforms
• Financial-services technology experience
Similar Jobs
Big Data • Fintech • Information Technology • Insurance • Software
Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.
Top Skills:
Claude CodeCursorDockerDroolsGCPGithub CopilotGoGrpcJavaKubernetesOpenapiPostgresProtocol BuffersPythonRest
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.
Top Skills:
APIsAWSC#Cloud-Native ArchitecturesDistributed SystemsGoogle Cloud Platform (Gcp)Integration TestingJavaPerformance TestingUnit Testing
Big Data • Fintech • Information Technology • Insurance • Software
Build and scale Go backend services for agent quoting, configuration, and application submission. Partner with adjacent teams, resolve partner-specific edge cases, provide architectural leadership, write unit and integration tests, review code, and promote automation, CI/CD, and continuous improvement. The role expects daily use of AI coding tools and ownership of services across distributed systems and microservices environments.
Top Skills:
ChatgptCi/CdClaude CodeCursorDockerGithub CopilotGoGrpcOpenapiProtocol BuffersRest
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
