Senior Software Engineer - Fullstack

Overview

We're not looking for someone who checks boxes; we're looking for someone who takes pride in their craft, owns their work end-to-end, and genuinely cares about the customers using what they build.

You'll be trusted, heard, and challenged to do the best work of your career.

If that sounds like you, we'd love to meet you!

Role Overview

• We are seeking a Senior Full Stack Engineer with an AIfirst mindset and a strong passion for solving complex technical and business problems, combining deep backend systems expertise with strong frontend engineering capabilities to design, build, and operate scalable, secure, and highperforming SaaS applications.

• This role requires endtoend ownership across the technology stack from intuitive UX/UI components to distributed backend services while embedding AIdriven capabilities such as intelligent automation, datainformed experiences, and AIassisted workflows into core product functionality, influencing system architecture, engineering standards, and modernization.

Responsibilities

Responsibilities

Full Stack Design & Delivery

• Provide technical leadership across frontend and backend development, including requirements analysis, system design, effort estimation, implementation, testing, and delivery.

• Design, develop, test, optimize, scale, maintain, and evolve user-facing UI components and backend services to deliver high-quality features to customers.

• Translate explicit and implicit product requirements into clear functional and technical specifications, architecture diagrams, and test plans.

• Review code across the stack and provide constructive guidance to ensure quality, consistency, and maintainability.

Backend Engineering

• Design and build highly scalable, secure, and resilient distributed backend services using Go and Python, with a strong focus on concurrency, performance, and production readiness.

• Develop and maintain RESTful APIs, microservices, backend workflows, and platform services.

• Drive the modernization and migration of legacy .NET/C# services into Go/Python-based microservices or cloud-native platforms.

AIFirst Engineering

• Proficiency using AI-assisted development tools (e.g., coding copilots, intelligent IDEs, test generation, code review assistants, and documentation tools) to improve developer productivity, code quality, and delivery speed.

• Experience designing, integrating, or consuming AI-powered services or agents within full stack applications.

• Capability to evaluate emerging AI tools and frameworks, benchmark their impact, and recommend practical adoption paths aligned with business outcomes and engineering standards.

• Comfort collaborating with product, design, and platform teams to translate AI capabilities into real customer value, not just experimental features.

Qualifications

Technical / Specialized Knowledge, Skills & Abilities

Experience & Education

• BS/MS in Computer Science or equivalent practical experience.

• 6+ years of professional software engineering experience, including significant work across both frontend and backend systems.

• 3+ years of experience building highly optimized web applications and/or SaaS platforms.

Backend Technical Skills

• Strong hands-on experience with Go or Python.

• Experience with Go modules, Python packaging, dependency management, and service structuring. Solid experience with SQL and relational database design, transactional systems, and query optimization. Strong understanding of distributed systems, microservices, and multi-tenant SaaS architectures. Experience working with or modernizing C# / .NET Framework or .NET Core systems.

Frontend Technical Skills

• Expert knowledge of HTML5, CSS3, JavaScript, and TypeScript.Strong experience with modern frontend frameworks (React, Angular, Vue, or similar).

• Experience building Single Page Applications (SPAs) and optimizing frontend performance.

• Experience with Micro-Frontend (MFE) architectures, including frontend modularization, domain-driven UI boundaries, and shared design systems.

Cloud, Platform & Ecosystem

Hands-on experience with a major cloud platform (AWS, Azure, or GCP), containerization (Docker, Kubernetes/Nomad), API gateways, OAuth2/OIDC-based IAM, and messaging systems such as Kafka or RabbitMQ.

Salary Range

Employee Referral Bonus Amount