What are the responsibilities and job description for the Vice President of Engineering position at Azimuth?
About us:
At Azimuth, we’re building technology that eliminates blind spots, scales effortlessly, and sets new standards across industries. From our hub in Jacksonville, FL, our platform transforms millions of data points into actionable insights every day, automating what others still do manually and proving that speed and accuracy can coexist. But Azimuth is more than the platform we’ve built; it’s the people behind it. We’re a high-growth team of innovators, engineers, strategists, and problem-solvers united by a drive to challenge outdated systems and replace them with something better. We thrive on bold thinking, collaboration, and the satisfaction of seeing vision turn into impact at scale. Here, you’ll do more than just contribute; you’ll shape the future. Every idea has a seat at the table, every contribution moves industries forward, and every person has the chance to do the best work of their career. If you’re looking for a place where innovation is expected, speed is celebrated, and your work truly matters, Azimuth is where it all happens.
VP Engineering
Responsibilities
Engineering Leadership & Delivery
• Own end-to-end engineering delivery across all workstreams including Application Development, Data Platform, Business Intelligence, DevOps, and AI/ML — responsible for scope, timelines, quality, and production releases.
• Partner with the CEO and executive leadership on product roadmap, platform strategy, and long-term technology direction.
• Establish engineering operating models, delivery processes, release governance, and quality standards across the organization.
• Define and track engineering KPIs including velocity, deployment frequency, incident rate, uptime, and MTTR; report metrics to executive leadership.
Team Leadership & Organizational Development
• Hire, mentor, and develop engineering leaders across App Dev, Data Engineering, BI/Tableau, DevOps, and AI teams.
• Manage and scale offshore engineering teams in India; establish operating rhythms, accountability models, and async-first communication practices across time zones.
• Build a culture of ownership, accountability, and predictable delivery where teams raise risks early and deliver on commitments.
• Set engineering standards including code reviews, architecture reviews, definition of done, documentation, and testing requirements.
Application & Platform Architecture
• Oversee backend application architecture built on C# / .NET, including API design, microservices architecture, performance, scalability, and release quality.
• Ensure alignment between front-end applications (Angular or similar frameworks) and product/UX requirements.
• Oversee end-to-end data platform architecture including data ingestion, transformation, modeling, governance, Azimuth proprietary compliance testing processes, and data serving layers.
• Own BI and analytics delivery using Tableau, including certified data source governance, workbook standards, performance optimization, and user adoption.
DevOps, Infrastructure, and Release Management
• Own CI/CD strategy across all engineering teams including Azure DevOps pipelines, branch policies, automated testing, and environment promotion (Dev → Staging → Production).
• Ensure QA and Release Engineering operate as centralized quality gates; no production releases without automated testing and release approvals.
• Drive infrastructure-as-code practices using Terraform or Bicep in Azure.
• Establish SLAs for deployment frequency, rollback procedures, and incident response; own the on-call escalation model.
Security, Compliance, and Platform Reliability
• Own engineering security architecture including Azure Entra ID, RBAC, managed identities, Key Vault secrets management, and network segmentation (VNets, private endpoints).
• Ensure platform meets financial services and regulatory data compliance requirements including data residency, encryption, audit logging, and access reviews.
• Serve as the primary engineering representative on client and executive stakeholder calls.
Qualifications / Requirements
• 12 years of progressive engineering experience with at least 4 years in a VP, Director, or senior engineering leadership role.
• Strong experience with Microsoft Azure including ADLS, APIM, Azure Functions, Event Hubs, App Service, Azure Monitor, and Azure networking.
• Expertise in Azure Databricks including Delta Lake, Unity Catalog, and job orchestration.
• Hands-on experience with CI/CD pipelines, Azure DevOps, YAML pipelines, environment gates, and artifact management.
• Strong security and compliance mindset including Entra ID, RBAC, Key Vault, private endpoints, and regulated cloud environment practices.
• Experience orchestrating complex data flows, identification of data processing bottlenecks and designing and implementing solutions.
• Experienced in building/consuming REST APIs (JSON) and SDKs
• Expert-level proficiency in at least one backend or data engineering languages — Python, PySpark, or C# (.NET) — with strong working knowledge across the broader stack; able to review data platform and application architectures, assess technical debt, and provide credible technical leadership to senior engineers.
• Working knowledge of Tableau including Tableau Server administration, workbook performance, and certified data source governance.
• Experience with Generative AI and LLM integrations including RAG architectures, prompt engineering, and Azure OpenAI.
• Proven experience managing multi-disciplinary teams including application development, data engineering, BI/analytics, DevOps, and AI/ML teams.
• Experience managing distributed offshore engineering teams, preferably India-based delivery teams across IST time zones.
• Strong executive communication skills with the ability to translate technical concepts for C-suite stakeholders.
• Experience in FinTech, RegTech, or financial data platforms strongly preferred
• Startup or high-growth environment experience preferred — ability to build scalable processes without heavy bureaucracy.
Success Metrics – First 90 days
• Engineering delivery rhythm is running smoothly: standups, sprint reviews, and release pipelines operating without CEO involvement.
• All workstream team leads have clear OKRs, ownership boundaries, and a weekly 1:1 cadence established.
• Offshore teams are fully onboarded with clear ownership, SLAs, and escalation paths.