Staff Software Engineer

Own the design and evolution of scalable, secure, and high-performing web application architectures

Lead complex feature delivery across systems, ensuring alignment with long-term platform strategy

Act as a technical advisor to engineering and product leadership on design trade-offs and implementation approaches

Drive engineering best practices across code quality, testing, observability, and system reliability

Champion AI-powered development by actively leveraging tools (e.g., Cursor, Claude Code, LLM platforms) to enhance productivity

Define standards and best practices for AI-assisted coding, test generation, and design-to-code workflows

Lead adoption of generative AI and LLM integrations into enterprise applications and engineering processes

Partner with teams to operationalize AI-driven workflows and improve development efficiency at scale

Design, develop, and maintain full-stack web applications with a focus on performance, usability, and reliability

Contribute high-quality, production-grade code across frontend, backend, and APIs

Drive adoption of modern engineering practices including microservices, cloud-native development, and CI/CD

Mentor senior and mid-level engineers, fostering technical growth and engineering rigor

Conduct in-depth code reviews, providing actionable and constructive feedback

Influence engineering culture by promoting collaboration, ownership, and continuous improvement

Lead by example in driving accountability, technical excellence, and innovation

Advanced expertise in software design, system architecture, and distributed systems

Strong experience in API design and management (REST/gRPC, versioning, scalability)

Deep understanding of cloud platforms (Azure or AWS) and cloud-native application design

Solid foundation in application security, data protection, and secure coding practices

Strong problem-solving and debugging skills across large-scale systems

Hands-on experience integrating LLMs, generative AI, and AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock)

Experience applying AI across SDLC: code generation, testing, documentation, and workflow automation

Understanding of ML concepts and AI adoption strategies across engineering teams

Proven ability to influence without authority and drive alignment across teams

Strong communication skills, with the ability to translate complex technical concepts to diverse stakeholders

High adaptability in fast-moving, ambiguous environments

Commitment to ethical engineering practices and responsible AI use

10+ years of experience in software engineering with a strong focus on web and distributed systems

Demonstrated success in leading complex technical initiatives and delivering at scale

Proven track record mentoring engineers and elevating team performance

Experience driving adoption of new technologies and engineering transformations (preferably AI-driven)

Experience operating in iterative, product-driven environments

Strong full-stack development experience with: 

Backend: C#, .NET, Python

Frontend: React (or modern SPA frameworks)

Data: SQL Server, database design, data modeling

Deep experience with Web APIs and microservices architectures

Hands-on experience with cloud-native development and distributed systems

Familiarity with containerization and orchestration (Docker, Kubernetes)

Strong understanding of DevOps practices and CI/CD pipelines

Certifications in Cloud (Azure/AWS) or AI/ML

Experience building enterprise-scale AI platforms or internal developer tooling

Exposure to platform engineering, developer productivity, or internal frameworks