• Leads the architecture, design, and implementation of complex software systems and enhancements across local, networked, or Internet-related platforms; defines standards and patterns for the broader engineering team. • Writes, reviews, and approves code using current programming languages and technologies; establishes coding best practices and conducts technical design reviews. • Leads testing strategies, debugging, and quality assurance practices across projects; champions engineering excellence and non-functional requirements such as scalability and reliability. • Authors and maintains comprehensive technical documentation, architectural decision records, and procedures for installation, maintenance, and onboarding. • Partners with product management, business stakeholders, and end users to define system requirements, evaluate trade-offs, and translate business needs into scalable technical solutions. • Champions secure software development practices, ensuring solutions meet security, compliance, and governance standards; proactively identifies and mitigates risk across the system lifecycle.

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Virtual Nuvolo, part of the digital business of Trane Technologies, is a global enterprise software company. We empower enterprises to connect people, places, and assets through intelligent technology solutions. Overview We're seeking a Software Engineer II with a strong foundation in computer science fundamentals and practical experience building scalable applications. This role focuses on engineering excellence and problem-solving skills rather than platform-specific knowledge. Key Responsibilities - Design and implement features following SOLID principles and clean code practices - Collaborate on full-stack development across frontend and backend systems - Participate in code reviews and contribute to continuous improvement of engineering standards - Debug complex issues and optimize application performance - Design and implement features in all areas of the product development(Backend/frontend, Mobile, CI/CD, Cloud services, Data Migration) - Communicate effectively across frontend-backend integration points Required Qualifications - 2-3 years of professional software development experience - Strong grasp of computer science fundamentals (data structures, algorithms, design patterns) - Demonstrated understanding of SOLID principles and software architecture - Experience with at least one programming language (JavaScript, Python, Java, C#, or similar) - Familiarity with version control systems (Git) - Understanding of CI/CD concepts and automated testing - Knowledge of cloud platforms (AWS, Azure, or equivalent) or willingness to learn - Experience with REST APIs and backend-frontend communication patterns - Strong problem-solving and debugging skills Nice to Have - Experience with React or similar modern frameworks - Exposure to microservices or distributed systems - Understanding of database design and optimization - Experience with infrastructure-as-code or DevOps practices What We Value - Solid programming fundamentals over framework expertise - Continuous learning mindset and adaptability to new technologies - Code quality and attention to detail - Collaborative approach to problem-solving - Communication skills for cross-functional teamwork We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

• Own and evolve core systems for freight brokerage operations and related services: quoting, booking, pricing and rate logic, contracts, carrier compliance, facility matching and location/address data quality, and scheduling-oriented workflows. • Lead technical initiatives across several Python/Django services, including design, phased rollout, and safe deprecation—not only single-service features. • Build and maintain user-facing work in the freight brokerage web application (modern JavaScript/TypeScript and React): new flows, complex forms and workflows, performance and UX fixes, and integration with backend APIs, alongside backend changes when features span the stack. • Drive platform and reliability work: database and dependency upgrades, search/indexing changes, performance tuning (queries, indexing, caching), secrets/credential patterns, and tooling that prevents bad deployments (e.g. migration safety, validation pipelines). • Ship high-impact product and revenue work: pricing and benchmark integrations, compliance/load-registration flows, feature-flag and segmentation strategies, and scope-shaping that ties technical design to business outcomes. • Define engineering standards for the squad and beyond: ADRs, shared client/integration layers, test and observability patterns, and code review culture that teaches (SOLID, architecture, thorough PRs), including shared patterns between API and UI. • Operate production systems: incident response, war-room coordination, root-cause analysis, and fast stabilization PRs when freight brokerage operations are at risk. • Collaborate tightly with product on discovery and requirements—framing problems, narrowing scope with technical options, and sometimes presenting outcomes to senior stakeholders. • Mentor and level up teammates through pairing, design review, and informal leadership, without necessarily being a people manager.

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.) We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/. We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great. So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth. As a Software Engineer on the AI Efficiency team, you will bridge the gap between emerging AI capabilities and real-world business needs. You’ll design and build AI-powered tools and agents that automate workflows, support business teams, and unlock new opportunities for efficiency across the organization. Your work will directly influence how AI drives impact throughout MNTN. What you’ll do - Design and build internal AI-powered tools and integrations — including generative AI applications and autonomous AI agents — that help business teams work smarter and faster. - Architect, develop, and maintain AI agents that automate complex multi-step workflows, make decisions, and interact with internal systems on behalf of users. - Evaluate, prototype, and recommend generative AI solutions (LLM APIs, agent frameworks, code generation tools) tailored to specific business problems. - Act as an AI evangelist within engineering — running workshops, writing internal guides, and mentoring teammates on generative AI development patterns and agent design. - Define and maintain best practices for prompt engineering, agent orchestration, model selection, responsible AI usage, and cost management. - Partner with product and business stakeholders to identify high-impact opportunities for generative AI and agent-driven automation. - Stay on the cutting edge of the generative AI and agentic AI landscape and translate new developments into actionable opportunities for the company. What success looks like - Delivery of AI tools and agents that measurably improve efficiency across business teams. - Successful deployment of generative AI solutions with high adoption and usability within internal teams. - Clear documentation, guides, and workshops that enable other engineers and business stakeholders to leverage AI tools effectively. - Adoption of best practices for responsible AI usage, cost management, and agent orchestration across the organization. - Influence on business outcomes through AI-driven automation and insights. What you’ll bring - 3+ years of software engineering experience, with at least 1 year focused on generative AI or LLM application development. - Experience with Model Context Protocol (MCP) — building MCP servers, integrating MCP clients, or connecting AI agents to external tools and data sources via MCP. - Hands-on experience building with LLM APIs (e.g., OpenAI, Anthropic, Gemini, open-source models), vector databases, and orchestration/agent frameworks (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, ADK). - Experience designing or building AI agents — including tool-using agents, multi-agent systems, or agentic workflows. - Cloud-native development experience — comfortable deploying and operating services in AWS, GCP, or Azure using containers, serverless functions, or managed AI/ML services. - Strong communication skills — able to explain complex generative AI concepts to non-technical stakeholders and get engineers excited about new tools. - A product-minded approach: you think about user problems first, not just the technology. - Self-directed and comfortable operating with ambiguity in a fast-moving space. MNTN Perks - 100% remote within the US - Flexible vacation policy - Annual vacation allowance for travel related expenses - Three-day weekend every month of the year - Competitive compensation - 100% healthcare coverage - 401k plan - Flexible Spending Account (FSA) for dependent, medical, and dental care - Access to coaching, therapy, and professional development About MNTN Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN. MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue. Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University. #LI-Remote