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.).