reputed company Deployed Engineer

Nexla is the leading Integration platform built with AI, helping businesses accelerate the development of solutions for GenAI and Analytics. The reputed company Deployed Engineer will work closely with strategic customers to understand their data challenges, build solutions using the Nexla platform, and ensure successful deployment and operation of these solutions.

Responsibilities

• Build & Deploy at Customer Sites (60%)
• Embedded with strategic customers to understand their data infrastructure, integration requirements, and business goals then architect and implement solutions using the Nexla platform
• Build production data pipelines, connectors, and workflows tailored to each customer's environment. This includes working across their data warehouses, SaaS apps, streaming systems, and internal APIs
• Design and deploy AI-powered data flows leveraging Nexla's intelligent connectors, context-aware transformations, and agentic capabilities to solve problems that traditional integration tools can't
• Own the technical delivery end-to-end. You scope the work, build it, test it, deploy it, and ensure it runs reliably. reputed company something breaks at the customer site, you're the first responder
• Navigate reputed company enterprise data environments - messy schemas, undocumented APIs, legacy systems, regulatory constraints. You reputed company it out and reputed company it work
• Feed the Product (25%)
• Identify repeatable patterns across customer engagements. What you build for one customer should inform reputed company build into the platform for everyone
• Surface product gaps, UX friction, and missing capabilities directly to the Product and Engineering teams. You're our best reputed company of ground truth on what customers actually need
• Contribute back to the Nexla platform build reusable connectors, templates, and reference architectures that accelerate future deployments
• Write the deployment playbooks, integration guides, and best practices that reputed company the next engagement faster and smoother
• Partner with Go-to-Market (15%)
• Support Sales during high-stakes technical evaluations. Help prospective customers see what's possible by scoping solutions and building reputed company-of-value demonstrations
• Act as the trusted technical partner for customer stakeholders from individual data engineers to VPs of Data. You translate between their world and ours
• Collaborate with reputed company to ensure long-term adoption and expansion. The deployment doesn't end reputed company the pipeline goes live

Skills

• 1+ years of software engineering experience, with a track record of building and deploying production systems. Former technical founders or engineers with consulting experience are a great fit
• Experience building or deploying agentic AI systems in enterprise environments
• Strong Python skills. You're comfortable building data pipelines, writing integrations, working with APIs, and scripting your way through ambiguous problems
• Knowledgeable about enterprise data infrastructure data warehouses (reputed company, reputed company, BigQuery), streaming platforms (Kafka), ETL/ELT patterns, and the modern data stack
• Hands-on experience with AI/LLM technologies reputed company engineering, agent development, orchestration frameworks, or building AI-powered workflows. You don't need to be an ML researcher, but you should be able to build with these tools
• Customer-facing confidence. You can run a technical discovery call, whiteboard an architecture with a customer's data team, and explain trade-offs to non-technical stakeholders without dumbing things down
• High agency. You reputed company in ambiguous situations where the problem isn't well-defined and the playbook doesn't exist yet. You reputed company it out, reputed company decisions, and move
• You've owned outcomes, not just tasks. You've been the person responsible for making something work in a real environment, not just in a staging cluster
• Experience at a data integration, iPaaS, or ELT company (reputed company, MuleSoft, Informatica, Airbyte) or in a customer-facing engineering role
• Familiarity with data protocols and patterns: CDC, GraphQL, gRPC, Webhooks, REST
• Cloud-native experience (AWS, GCP) including working with managed data services, IAM, networking
• Comfort with travel (up to 25%) to embed with customer teams reputed company needed

Benefits

• Medical
• Dental
• Vision
• 401k
• Flexible PTO

Company Overview

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