Senior Software Engineer

Key Responsibilities

Take end to end ownership of features, from understanding the requirement through design, implementation, testing, deployment, and post release stability.
Deliver across the full stack including frontend experiences (Angular), backend services and APIs (.NET, C#, Python), and data layer design (PostgreSQL, SQL Server), with genuine capability at each layer.
Write clean, testable, well-structured code and take personal responsibility for quality. Participate meaningfully in code review with the intent to raise the bar for the team.
Design solutions that are maintainable and appropriately reusable, thinking beyond the immediate ticket to consider how your work fits into the broader system.
Identify technical risks and delivery blockers early and bring proposed solutions, not just observations.
Collaborate effectively across engineering functions including Quality Engineering, Platform, Architecture, and Infrastructure, and communicate technical decisions clearly to both engineering peers and non-technical stakeholders.
Contribute to platform level work including API design, performance considerations, and service reliability as needed within your squad.
Mentor and support less experienced engineers through code review, design discussions, and knowledge sharing.
Participate in agile ceremonies, contribute to sprint planning, and take accountability for your commitments within the team.

Required Qualifications

8 or more years of professional software engineering experience with demonstrated full stack delivery across frontend, backend, and data layers.
Proven track record of owning features end to end with accountability for quality, stability, and outcomes, not just individual components or assigned tasks.
Strong software design fundamentals including API design, data modeling, separation of concerns, and component boundaries.
Experience working independently in an environment with ambiguous requirements, able to create clarity and drive work to completion without close supervision.
Demonstrated ability to mentor more junior engineers and contribute positively to team culture and code quality.
Strong written and verbal communication skills, able to explain technical decisions and tradeoffs clearly to engineering peers and non-technical stakeholders alike.

Preferred Qualifications

Experience in regulated industries or with compliance, security, or risk management platforms. GRC, FedRAMP, or NIST familiarity is a meaningful advantage.
Background in enterprise SaaS companies, particularly those navigating growth and scaling challenges.
Familiarity with cloud native development in Azure or comparable platforms such as AWS or GCP.
Experience with observability, performance profiling, and diagnosing production issues.
Exposure to AI and ML integration in product engineering contexts.
RegScale is only able to hire US Citizens

Skills Required
8+ years professional software engineering experience with demonstrated full stack delivery across frontend, backend, and data layers.
Proven track record of owning features end to end with accountability for quality, stability, and outcomes.
Strong software design fundamentals including API design, data modeling, separation of concerns, and component boundaries.
Experience working independently in ambiguous environments and driving work to completion without close supervision.
Demonstrated ability to mentor more junior engineers and contribute to team culture and code quality.
Strong written and verbal communication skills; able to explain technical decisions to technical and non-technical stakeholders.
Experience delivering frontend experiences using Angular.
Experience building backend services and APIs using .NET, C#, and/or Python.
Experience designing and working with data layers using PostgreSQL and SQL Server.
Must be a U.S. citizen.
Experience in regulated industries or with compliance, security, or risk management platforms (GRC, FedRAMP, NIST).
Background in enterprise SaaS companies, particularly scaling technical systems.
Familiarity with cloud-native development in Azure, AWS, or GCP.
Experience with observability, performance profiling, and diagnosing production issues.
Exposure to AI and ML integration in product engineering contexts.