Director, Software Engineering

• →Works with the SVP of Engineering to build a technical vision for the product line.
• →Explores new technologies for future planning and potential implementation and evaluates and identifies appropriate technology to deliver business objectives.  
• →Ensures engineering best practices are defined and met across teams and develops and governs technical standards to ensure adherence. 
• →Collaborates with architects and principal engineers in the technical design of initiatives and business priorities. 
• →Experience leading distributed or cross-functional teams globally, including recruiting, mentoring, and retaining team members in a continuous improvement environment. Provides leadership and professional growth with the goal to build our next generation of engineering leaders. 
• →Extensive knowledge of enterprise architecture patterns, microservices, and distributed systems design 
• →Experience with enterprise SaaS architecture and development in a product-driven environment, including multi-tenancy, scalability, and platform reliability at scale 
• →Fluency in data architecture concepts including data models, data warehouses, analytical platforms, and modern data mesh or lakehouse patterns 
• →Familiarity with service portfolio management, API governance, and technical debt prioritization at the enterprise level 
• →Works closely with Product Management and Architecture to discover business requirements and technical approach for product initiatives and features. 
• →Supports teams in the discovery and design of product backlog items and identifies and manages cross organization dependencies. 
• →Develop Proof of Concept solutions to demonstrate technical design and can dive into the code and pair program with engineers as necessary.  
• →Initiates and drives continuous improvement initiatives, challenges self and teams to continuously grow and achieve new levels of success. 
• →Will be held accountable for the design, development, and delivery of Suvoda product and solutions.  
• →A “team-player” with the ability to work within a highly collaborative environment. 
• →A creative and critical thinker that is able to confidently express ideas in an articulate, concise manner. 

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering or equivalent relevant work experience and/or training. 
• At least 10 years of progressive experience in the software industry, including at least 5 years in a leadership position. 
• Proven experience delivering cloud-native applications on AWS, including IaC tooling (Terraform), container orchestration (EKS), and cloud cost optimization
• Good working knowledge of Python, Django ORM, Django REST Framework, and Angular for building and maintaining scalable backend and frontend services; hands-on familiarity with event-driven cloud service architectures leveraging AWS Lambda, DynamoDB, ElastiCache (Redis), and Postgres RDS 
• Strong experience managing people and teams; setting goals, providing clear technical direction, and holding teams accountable for delivering business value. 
• Strong experience with software development best practices and tooling, agile testing, developer operations, continuous integration and delivery, and site reliability engineering. 
• Relevant technical knowledge of enterprise architecture, cloud services, cloud development, containerization, business domain modelling, data warehouses and analytical platforms. 
• Proven experience in Agile Software Development methodology. 

• Hands-on experience adopting and governing AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) across engineering teams, including establishing standards for responsible use, prompt engineering best practices, and measuring productivity impact
• Familiarity with Anthropic's Claude API or Claude Code for agentic developer workflows, including task automation, code generation pipelines, and AI-assisted code review
• Experience integrating LLM-powered tooling into the SDLC — such as AI-assisted test generation, documentation automation, or intelligent PR summarization
• Demonstrated ability to lead organizational change around AI adoption — including upskilling teams, establishing guardrails, and balancing developer autonomy with governance
• Familiarity with prompt engineering principles and the ability to coach engineers on effective human-AI collaboration patterns 

As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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