Deployment Engineer

🕒 August 20

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⛑ DevOps & Site Reliability Engineer (SRE)

🚫👨‍🎓 No degree required

👻 Ghost score 18%

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Logo of Avoca

Avoca

11 - 50 employees

Founded 2022

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Avoca is an AI-driven workforce platform that automates and manages customer-facing communication for service businesses. It provides AI voice agents and assistants to answer inbound calls, texts, and chats 24/7, run automated outbound nurturing and drip campaigns, and surface coaching and performance insights to improve human teams. Avoca integrates deeply with field service platforms like ServiceTitan, emphasizes enterprise-grade security and scalability, and positions itself as a revenue-driving, cost-saving SaaS solution for B2B service organizations.

📋 Description

• Embed with customers to understand their operations and deliver working AI solutions from day one • Deploy, integrate, and maintain Avoca's voice agent products within complex customer infrastructure • Build and maintain infrastructure behind conversational AI, including APIs, integrations, monitoring, and feedback loops • Diagnose production issues and perform root-cause analysis across distributed systems, APIs, and LLM-powered workflows • Translate business requirements into technical architectures and deployment plans • Identify deployment patterns and feed insights into the product roadmap • Monitor and optimize product performance in production while working with LLMs and distributed systems • Communicate complex technical issues to technical and non-technical stakeholders • Document solutions, best practices, and troubleshooting processes

🎯 Requirements

• 2+ years of software engineering experience, preferably backend or systems-focused • Proficiency in Python; TypeScript/JavaScript is a plus • Hands-on experience with microservices architectures, APIs, SQL/NoSQL databases, networking, and distributed systems • Familiarity with AWS, GCP, or Azure • Experience diagnosing and debugging production systems and integration environments • Ability to work with technical and non-technical, customer-facing stakeholders • Experience with LLMs, prompt engineering, vector databases, or AI agent frameworks • Ability to work remotely while collaborating with a high-performing team across US time zones • Customer-facing technical experience is a plus

🏖️ Benefits

• Equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability

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