Senior Software Architect; C#​/Angular​/AI First; GovTech SaaS

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we've been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

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Architect

By applying for this position, you're taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our client is a leading Gov Tech SaaS company that has spent more than two decades helping public-sector and education organizations modernize critical operations through technology.

By combining deep domain expertise with modern cloud platforms, AI-enabled workflows, and a customer-first mindset, the company delivers solutions that simplify complex HR, compliance, and workforce management processes. Their products support the entire employee lifecycle from hiring and onboarding to development, retention, and retirement allowing organizations to better serve their employees and communities.

The engineering organization embraces an AI-first approach, leveraging modern development practices and intelligent tooling to accelerate innovation, improve software quality, and increase developer productivity.

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We are seeking an experienced Senior Software Architect to lead the design and evolution of scalable, secure, and cloud-native SaaS platforms.

This is a hands-on technical leadership role focused on defining architectural standards, guiding engineering teams, and delivering high-quality solutions using modern .NET technologies, distributed systems, and cloud-native patterns.

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Architects

software-engineering

As part of an AI-first engineering culture, you will actively leverage AI-assisted development tools, reusable workflows, and agentic approaches to streamline development, automate engineering tasks, and improve delivery velocity across teams.

Design and evolve scalable, secure, and highly available SaaS applications using C#, .NET, and cloud-native architectures
.

Define technical architecture and engineering standards across multiple products and teams.

Lead the adoption of microservices, domain-driven design (DDD), CQRS, event-driven systems, and API-first approaches
.

Partner with Product, Engineering, Dev Ops, and fellow Architects to deliver reliable and maintainable solutions.

Mentor senior engineers and provide technical guidance on architecture, design decisions, and implementation strategies.

Drive improvements in system performance, scalability, observability, and security.

Promote engineering best practices, including code quality, automated testing, and operational excellence.

Champion AI-assisted software development by integrating modern AI tools and workflows into everyday engineering practices.

12+ years of software engineering experience, including 5+ years as a Software Architect, Principal Engineer, or technical leader.

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Expert-level experience with C#, .NET Core, Entity Framework, and Angular (v16+).

Strong experience designing enterprise SaaS platforms using microservices, DDD, CQRS, and event-driven architectures
.

Hands-on experience with AWS (preferred) or Azure and cloud-native application design.

Solid knowledge of SQL Server, PostgreSQL, and No

SQL databases (Document DB is a plus).

Proven ability to lead technical initiatives, mentor engineers, and drive architectural decisions across teams.

Excellent written and verbal English communication skills.

Daily experience using AI-assisted development tools (e.g., Claude Code, Cursor, Git Hub Copilot) to improve engineering productivity.

Familiarity with modern AI concepts and workflows, including LLMs, RAG, MCP, and agentic development practices
.

Experience with GraphQL APIs.

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Kubernetes and container orchestration.

Infrastructure as Code tools such as…