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.
• Participate in technical discussions and contribute to the evolution of the team’s technical direction.

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.
• Experience in IT Governance & Trust/Compliance business domain (ideally).
• Familiarity with NIST AI RMF, OWASP, ISO/IEC, SOX, AIBOM (ideally).
• 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; a 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

• 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.