Sr Software Engineer

Responsibilities

• Design, develop, and maintain full-stack applications, ensuring scalability, performance, and security.
• Write clean, maintainable, and efficient code, following best practices and coding standards.
• Work on both the front-end (using frameworks such as React, Angular, or Vue.js) and back-end (using technologies such as Node.js, Python, or .NET).
• Contribute to the architecture and design of software systems, ensuring alignment with business goals and technical strategy.
• Participate in technical design reviews, providing feedback and recommendations to improve system design and code quality.
• Collaborate with DevOps and platform teams to integrate applications into CI/CD pipelines and automate deployment processes.
• Develop and execute unit tests, integration tests, and automated tests to ensure software quality.
• Identify and resolve defects and performance issues, conducting thorough code reviews to maintain high standards of code quality.
• Work closely with QA teams to implement and improve testing strategies and processes.
• Collaborate with product managers, designers, and other engineers to deliver high-quality features and enhancements.
• Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives, contributing to the continuous improvement of the team’s processes.
• Communicate effectively with both technical and non-technical stakeholders, providing updates on progress and potential challenges.
• Mentor and guide junior engineers, sharing knowledge and best practices to help them grow in their roles.
• Lead by example, demonstrating a strong work ethic, a commitment to quality, and a proactive approach to problem-solving.
• Take ownership of features or projects, driving them from concept to completion with minimal supervision.
• Stay up-to-date with industry trends, emerging technologies, and best practices, and bring new ideas to the team.
• Identify opportunities for process improvements, refactoring, or technical enhancements to optimize the software development lifecycle.

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Experience: Minimum of 5-7 years of experience in software development, with a strong focus on full-stack development. Proven experience working in agile environments, with the ability to adapt to changing requirements and priorities.
• Technical Skills: Proven experience in web development including working with Headless CMS systems, Digital Asset Management systems and front end development. Proficiency in modern front-end frameworks (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, Python, .NET). Strong understanding of RESTful APIs, microservices architecture, and database design (SQL and NoSQL). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Kubernetes).
• AI & Agent Development: Expert-level experience designing and implementing multi-agent systems with complex A2A communication patterns and orchestration. Deep expertise in agentic AI architecture, including autonomous decision-making, goal-oriented behavior, and agent reasoning frameworks. Hands-on experience with enterprise AI platforms such as AWS Bedrock-Agentcore, Azure OpenAI Service, Anthropic's, products, API, and Claude-series models, or similar enterprise-AI services. Proficiency with AI orchestration frameworks and tools (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or similar). Strong experience implementing tool/function calling, external system integrations, and protocol-based agent communication (e.g., Model Context Protocol). Proven ability to integrate AI agents with enterprise systems, APIs, and data sources to enable autonomous workflows. Hands-on experience with LLM integration, prompt engineering, and managing context windows in production environments. Experience implementing agent observability, (either AWS-native or 3PP), monitoring, and debugging solutions for production AI systems. Strong understanding of RAG (Retrieval-Augmented Generation) architectures and vector databases. Knowledge of AI safety practices, including guardrails, content filtering, and responsible AI deployment.
• Soft Skills: Excellent problem-solving skills, with a detail-oriented approach and a strong sense of ownership. Effective communication skills, with the ability to work well in a collaborative team environment. Proactive attitude, with a willingness to take initiative and drive projects forward.

Qualifications

• Passion for technology and software development, with a continuous desire to learn and improve.
• Self-motivated, organized, and capable of managing multiple tasks and projects simultaneously.
• High level of integrity, accountability, and a commitment to delivering high-quality software solutions.

Benefits

We reasonably expect the base compensation offered for this position to range from an annual salary of $107,400.00 - $134,200, subject to adjustment based on business-related factors such as employee qualifications, geographic pay differentials (e.g., cost of labor/living, etc.), and operational considerations. This position may be eligible for bonuses. This position may be eligible for commissions. This position will be eligible for the described benefits listed in the above section in accordance with Company Policy.