JOB TITLE: Lead Engineer
FLSA STATUS: Exempt
DEPARTMENT: Software Engineering
REPORTS TO: Software Engineering Manager
SUPERVISORY RESPONSIBILITIES: Yes
JOB LOCATION: Remote
TRAVEL: Occasional for conferences, strategic planning sessions, and key stakeholder meetings
SUMMARY OF POSITION:
You will contribute to product decisions, influencing technical direction across products and solutions. Your work will shape how we build, scale, and modernize our products while maintaining security, reliability, and operational excellence. This role demands leadership within the product delivery life cycle as well as hands-on technical capability.
ESSENTIAL DUTIES & RESPONSIBILITIES:
- Champion the organization’s technology architecture vision, strategy, and roadmap in alignment with business objectives
- Serve as the technical lead for one or more products on architectural and development decisions
- Establish architectural and development principles, patterns, and decision frameworks that guide your team
- Communicate complex architecture and solutions clearly and persuasively to audiences ranging from engineers to product owners and business leaders
- Design complex, enterprise-scale software solutions that are secure, scalable, resilient, and cost-effective
- Build flexible integrations to facilitate data transformation across internal and external systems
- Adopt and extend infrastructure-as-code from reference implementations
- Lead proof-of-concept initiatives to demonstrate viability and provide implementation guidance
- Conduct deep-dive technical reviews of existing systems, identifying optimization opportunities, technical debt, and modernization priorities
- Participate in hands-on development, providing technical guidance and removing blockers as part of an engineering team
- Drive initiatives that enhance software maturity, operational excellence, and engineering productivity
- Identify opportunities for automation, standardization, and simplification that reduce complexity and increase velocity
- Apply coding standards and techniques to build clean, efficient, maintainable, scalable software
- Actively participate in code reviews and collaborate with team members to refine system designs and resolve issues
- Manage execution of deliverables accurately through the software development life cycle, escalating issues or impediments as needed
- Participate in working sessions to demonstrate incremental changes and evaluate readiness for delivery
- Collaborate with Product Team by providing technical insight for refinement and planning
- Consult with Quality Engineers in resolution of observations and defects
- Build and maintain automated tests, including unit and integration tests, to ensure that written code performs as intended
- Monitor and support software to meet service-level agreements (SLAs)
- Stay informed about relevant technologies through independent research and share insight with the team
MINIMUM QUALIFICATIONS (EDUCATION AND EXPERIENCE):
Education and Experience
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline; or equivalent demonstrated experience
- 10+ years of progressive experience in software engineering, or related technical leadership roles
- Proven track record architecting and developing large-scale, production-grade software in enterprise environments
- Demonstrated experience successfully influencing technical direction as a member of a team, with or without direct authority
- History of leading software delivery initiatives from concept through delivery, including product modernization and integration programs
- Excellent verbal and written communication skills with demonstrated ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills, able to navigate ambiguity, capable of diagnosing complex issues, and developing effective solutions aligned with short and long-term objectives
- Strategic thinking capability with track record of translating business objectives into effective technical solutions
- Natural mentor and teacher who elevates the capabilities of those around them
- Ability to drive initiatives independently while collaborating effectively
- Understanding of Agile software methodologies (e.g., Scrum)
Technical Expertise
- Expert-level knowledge of software engineering and architecture patterns and principals, with deep understanding of CLEAN architecture principals
- Strong knowledge of cloud architecture patterns and services in AWS and/or Azure, with an understanding of Well-Architected Framework principles
- Working knowledge of infrastructure-as-code tools and practices (Terraform, CloudFormation, ARM templates, etc.) with experience applying IaC standards in software delivery
- Strong understanding of secure computing principals, compliance frameworks (SOC2, PCI-DSS, HIPAA), industry best practices, and infrastructure components such as servers, storage systems, networks, and cloud technologies
- Strong understanding of modern infrastructure technologies including containerization (Docker, Kubernetes), serverless architectures, and microservices patterns
- Proficiency with DevOps tooling (Git, CI/CD, Config, Observability), containerization, and infrastructure-as-code languages (e.g. Terraform, HCL)
- Proficiency with containerized and serverless architectures, microservices and event-driven architecture patterns
- Experience building modern, responsive web applications
- Proficiency with creating and consuming APIs (REST, SOAP, etc.)
PREFERRED QUALIFICATIONS (EDUCATION AND EXPERIENCE):
- Proficient in .NET development, with hands-on experience in C#
- Significant professional experience in the Microsoft .NET ecosystem (e.g., .NET Framework, .NET Core)
- Hands-on experience with multiple programming languages (Python, Go, etc.)
- Experience with modern front-end web frameworks (Blazor, Angular, etc.)
- Experience with Amazon Web Services (AWS)
- Experience with database architecture and administration across relational and NoSQL platforms
- Experience with architecting software for AI workloads, understanding of Agentic AI architectures, orchestration patterns, and infrastructure needs
- Knowledge of responsible AI practices, governance frameworks, and security considerations
- Knowledge of the Atlassian suite (e.g., Jira, Confluence, Bitbucket, etc.).