Senior Software Engineer Fullstack

We are seeking an independent Senior Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle.

You will design, build, and evolve intelligent marketing technology solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities.

Key responsibilities:

• Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns.
• Build robust backend services and integrations to support MarTech workflows.
• Lead the design and delivery of complex marketing technology initiatives from technical discovery through production deployment.
• Develop and refine prompt engineering strategies and AI interaction patterns.
• Design and implement resilient APIs, event-driven integrations, and backend services.
• Drive engineering excellence through strong CI/CD practices.
• Champion observability, operational excellence, and production support practices.
• Mentor junior and mid-level engineers.
• Lead technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution.

Requirements:

• 5+ years of professional software engineering experience.
• Strong expertise in backend and application development using Python, Java, JavaScript, or TypeScript.
• Experience designing and building cloud-native solutions on AWS.
• Proven experience integrating LLMs and generative AI capabilities into production-ready applications.
• Strong software engineering fundamentals.
• Experience building and supporting CI/CD pipelines.
• Ability to lead architecture discussions and make sound engineering decisions.
• Demonstrated experience mentoring engineers.

Nice to have:

• Deep hands-on experience with Salesforce architecture and development.
• Experience with advanced prompt engineering and evaluation strategies.
• Familiarity with vector databases and Retrieval-Augmented Generation (RAG) architectures.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.

What we value:

• Technical leadership and the ability to guide architecture.
• Strong engineering discipline.
• AI curiosity and pragmatism.
• Ownership mindset.
• Mentorship and collaboration.
• Customer focus.