Director of Software Engineering

Invene is a healthcare-focused AI and technology consulting firm that partners with healthcare organizations. The Director of Software Engineering leads architecture, technical execution, and delivery of complex software and data engineering solutions across client engagements, while guiding teams and working directly with clients.

Responsibilities:

• Lead software engineering delivery: Provide technical leadership across client engagements, ensuring successful architecture, development, integration, and deployment of enterprise software and data solutions
• Architect complex technical solutions: Design scalable, secure, and reliable systems involving backend applications, APIs, distributed services, data platforms, cloud infrastructure, and enterprise integrations
• Provide hands-on technical guidance: Actively participate in architecture reviews, code reviews, technical problem-solving, troubleshooting, and critical development activities
• Lead and mentor engineers: Guide software engineers, data engineers, and technical leads, helping establish strong engineering practices, improve technical skills, and ensure consistent execution
• Own technical solution design: Translate client business requirements into practical architectures, implementation plans, technical specifications, and development approaches
• Guide data engineering initiatives: Oversee the design and implementation of data pipelines, ETL/ELT processes, data warehouses, lakehouses, data models, and integrations across disparate enterprise systems
• Lead cloud architecture and infrastructure: Design and guide the implementation of cloud-native solutions, primarily within Microsoft Azure, including compute, storage, networking, identity, security, databases, and deployment infrastructure
• Establish engineering standards: Develop and improve best practices for software architecture, coding, testing, documentation, CI/CD, security, and operational reliability
• Collaborate directly with clients: Participate in discovery sessions, architecture discussions, technical workshops, and stakeholder meetings to guide technical decisions and communicate trade-offs
• Support AI implementation: Collaborate with AI architects and engineers to ensure software platforms, data architectures, and infrastructure can support production AI applications and workflows
• Build reusable technical capabilities: Identify opportunities to create reusable frameworks, services, accelerators, and architectural patterns that improve engineering efficiency across client engagements
• Oversee technical quality and delivery risks: Identify architectural challenges, performance bottlenecks, security concerns, and technical risks early, providing practical solutions to keep engagements on track
• Evaluate emerging technologies: Assess new software engineering tools, cloud services, development approaches, and AI-assisted engineering capabilities to improve delivery outcomes
• Support technical scoping: Contribute to solution estimates, technical discovery, architecture planning, and effort assessments for prospective and existing client engagements

Requirements:

• Significant professional experience in software engineering, including demonstrated experience designing, developing, and deploying complex enterprise applications
• Demonstrated experience leading and mentoring software engineering teams, including senior engineers and technical leads
• Strong hands-on software development experience, particularly with modern backend technologies, APIs, distributed systems, and enterprise integrations
• Deep understanding of software architecture, including microservices, event-driven architectures, system integrations, scalability, performance, and reliability
• Strong experience in data engineering, including designing and implementing ETL/ELT pipelines, data integration architectures, relational databases, data warehouses, and modern analytical platforms
• Strong experience with Microsoft Azure, including designing and deploying cloud-based applications, infrastructure, databases, networking, and enterprise integrations
• Experience with Azure services such as Azure App Service, Azure Functions, Azure SQL, Azure Storage, Azure Data Factory, Azure Databricks, or equivalent technologies
• Experience implementing cloud infrastructure, infrastructure as code, CI/CD pipelines, containerization, and automated deployment practices
• Strong understanding of security architecture, identity and access management, data protection, and secure software development practices
• Experience designing or delivering solutions for healthcare organizations, including payers, providers, healthcare technology companies, or other regulated healthcare environments
• Familiarity with healthcare data integration challenges, sensitive data handling, and regulatory requirements such as HIPAA
• Demonstrated ability to translate complex business requirements into technical architectures and guide teams through successful implementation
• Experience providing hands-on technical leadership through architectural decisions, code reviews, troubleshooting, and engineering problem-solving
• Strong communication skills and experience working directly with clients, executives, and technical stakeholders
• Experience using AI-assisted development tools to improve engineering productivity and software delivery
• Experience with healthcare interoperability standards and technologies such as HL7, FHIR, EHR/EMR integrations, and healthcare data exchange
• Experience working with healthcare claims, clinical, financial, operational, or other enterprise healthcare datasets
• Experience with Azure DevOps, Terraform, Docker, Kubernetes, and modern cloud infrastructure practices
• Experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or Azure Synapse Analytics
• Experience with Python, C#, .NET, TypeScript, or other modern software development languages and frameworks
• Experience designing architectures that support machine learning, generative AI applications, and enterprise AI integrations
• Experience establishing engineering standards and technical governance across multiple development teams or client engagements
• Experience in technology consulting, professional services, or client-facing software engineering delivery