
Distinguished Software Engineer
Posted Oct 29

Posted Oct 29
This is a fully remote position, open to applicants in United States.
• Shape engineering strategy across various products and teams.
• Establish long-term technical direction, architectural guidelines, and engineering standards.
• Recognize and address intricate technical challenges that span teams, products, and platforms.
• Collaborate with the VP of Engineering, CTO, and senior leadership to align technical investments with business objectives.
• Assess technical decisions, platform investments, and modernization efforts.
• Propel the adoption of AI technologies across products, enhancing engineering productivity and customer results.
• Design, develop, and implement AI-driven product features and intelligent automation solutions.
• Lead projects involving LLMs, RAG, AI agents, MCP, and agentic workflows.
• Set standards for AI-assisted software development, focusing on code quality, security, validation, and responsible usage.
• Analyze emerging AI technologies and assess their measurable value.
• Guide engineering teams in AI implementation and evaluation techniques.
• Write, review, test, and deploy production-level code.
• Oversee the design and execution of intricate, business-critical software functionalities.
• Act as a technical escalation point for challenging engineering and production issues.
• Promote engineering excellence across Java, Spring Boot, APIs, microservices, distributed systems, and cloud-native platforms.
• Create reference implementations, prototypes, and foundational components.
• Guarantee scalability, security, reliability, performance, and maintainability.
• Direct the evolution of enterprise SaaS architecture and spearhead modernization initiatives.
• Develop reusable engineering patterns, frameworks, and standards.
• Enhance platform performance, resilience, observability, and operational efficiency.
• Advocate for automation, CI/CD, DevSecOps, testing, and modern software development methodologies.
• Utilize engineering metrics and measurable outcomes to assess improvements.
• Provide advice to Engineering, Product, Architecture, Security, and Executive Leadership.
• Mentor Principal Engineers, senior developers, architects, and emerging technical leaders.
• Facilitate technical discussions and influence decisions throughout the organization.
• Convey complex engineering concepts to both technical and non-technical stakeholders.
• Promote collaboration, technical excellence, innovation, and ownership among globally distributed teams.
• 15+ years of professional software engineering experience.
• Demonstrated experience as a Distinguished Engineer, Principal Engineer, Staff Engineer, Chief Architect, or a similar senior technical individual contributor.
• Exceptional hands-on proficiency in Java, Spring Boot, distributed systems, microservices, APIs, and enterprise application architecture.
• Extensive experience in designing and delivering highly scalable, secure, and reliable enterprise SaaS platforms.
• Proven success in leading significant technical initiatives across multiple engineering teams or product domains.
• Demonstrated experience in building and delivering AI-powered software capabilities in production settings.
• Strong practical knowledge of AI-assisted software development tools and modern AI engineering workflows.
• Experience with Large Language Models, RAG, AI agents, MCP, or similar AI frameworks.
• Deep understanding of AWS or Azure, including cloud architecture, distributed systems, and AI integration capabilities.
• Extensive background with CI/CD, DevSecOps, Kubernetes, containers, and Infrastructure as Code.
• Strong grasp of enterprise security, application performance, reliability, and operational excellence.
• Proven ability to tackle highly complex technical challenges and critical production problems.
• Experience in influencing architectural direction and technical standards across various teams.
• Demonstrated capability to mentor senior technical contributors and enhance engineering skills.
• Exceptional communication skills with the ability to persuade both executive and technical stakeholders.
• History of translating technical innovations into measurable product, engineering, or business outcomes.
• Proven technical leadership through substantial engineering contributions, open-source projects, publications, patents, industry recognition, or similar accomplishments.
• Preferred: experience with Salesforce technologies, APIs, metadata, DevOps workflows, or enterprise applications designed for the Salesforce ecosystem.
• Preferred: experience in developing DevSecOps platforms, CI/CD tools, release automation, or data protection solutions.
• Preferred: experience in integrating AI-powered features or agentic workflows into enterprise software products.
• Preferred: experience leading significant architectural modernization efforts.
• Preferred: experience in highly regulated industries or security-sensitive enterprise environments.
• Preferred: experience collaborating with globally distributed engineering and product teams.
• Must reside in and be eligible to work in the US.
• Bonus
• Remote work
Agility Robotics
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