Integration Automation Engineer

Innovecs is a global digital services company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in software solutions, the Innovecs team has experience in Supply Chain, Healthtech, Collaboration Tech, and Gaming.For the fifth year in a row, Innovecs is included in the Inc. 5000, the list of fastest-growing private companies in the US, and a ranking of the best global outsourcing service providers by IAOP. Recently, Innovecs was honored with the prestigious Global Good Awards for the Employee Engagement & Wellbeing, won gold at the Employer Brand Management Awards, and was included in the Global Top 100 Inspiring Workplaces Ranking.Our value to you:Flexible hours and remote-first modeCompetitive compensationComplete Hardware/Software setup – anything you need for workOpen-door culture, transparent communication, and top management at a handshake distanceHealth insurance, vacation, sick leaves, holidays, paid maternity/paternity leaveAccess to our learning & development center: workshops, webinars, training platform, and edutainment eventsVirtual team buildings and social activities to celebrate the Innovecs lifestyleDoes this resonate with you? Send over your CV, and let's get to know each other better.
Innovecs is an equal opportunity employer. All hiring decisions are based on professional qualifications, skills, and experience. We are committed to a transparent, merit-based recruitment process that prevents discrimination and ensures equal opportunities for all candidates. Reasonable accommodations are available upon request throughout the recruitment process to support accessibility and inclusion.Requirements3+ years of professional experience building integrations, automations, or workflow systemsStrong proficiency with low-code/no-code automation platforms (Tray.ai, n8n, Zapier, Make, or similar)Solid JavaScript skills — most integration logic is implemented in JavaScript nodes and custom functionsExperience working with REST APIs, webhooks, and authentication patterns (OAuth, API keys, JWT)Solid understanding of data transformation and formats (JSON, XML, CSV)Experience with database reads/writes and data sync across multiple systemsAbility to read API documentation, debug integration failures, and troubleshoot complex workflow issuesExperience building event-driven workflows and handling asynchronous processesStrong problem-solving skills with the ability to translate business requirements into reliable technical solutionsSelf-motivated, disciplined, and comfortable working independently across time zonesGreat communication skills — ability to explain technical concepts clearly to non-technical stakeholdersEnglish proficiency at Upper-Intermediate level or abovePreferred Skills / AbilitiesPython scripting for data processing, API integration, or ETL workflowsFamiliarity with iPaaS or workflow orchestration platforms (Workato, MuleSoft, Temporal, or similar)Knowledge of SQL and database queries for data analysis and troubleshootingExperience with freight, logistics, or supply chain systems and terminologyBackground in operations, RevOps, data engineering, or technical product rolesExperience measuring and optimizing integration ROI (error rates, processing time, cost per operation)Experience with cloud platforms (AWS, Azure, or GCP) and serverless architecturesUnderstanding of microservices architecture and event-driven systemsFamiliarity with LLM APIs and prompt engineering as tools to enhance automation workflowsResponsibilitiesDesign, build, and deploy integration workflows within our middleware platform using low-code tooling and custom JavaScriptCreate and maintain integrations between internal systems and third-party platforms using REST APIs, webhooks, and event-driven architecturesDevelop data pipelines that read from, write to, and sync data across multiple databases and systemsDesign and test integration flows end-to-end, ensuring reliability, accuracy, and performanceBuild and optimize automated workflows that eliminate repetitive manual tasks across operations teamsMonitor integration health, debug failures, and continuously improve workflows for reliability and cost-efficiencyLeverage AI tools and LLM capabilities where applicable to enhance automation logic, data extraction, and decision-making within workflowsCollaborate directly with operations, product, and engineering teams to identify integration needs and translate business requirements into technical solutionsDocument workflows, create runbooks, and establish best practices for scalable integrationsParticipate in code reviews and contribute to shared libraries, frameworks, and reusable componentsMeasure and report on integration performance including error rates, latency, and operational impactExample Projects & InitiativesTo give you a sense of the types of challenges you'll tackle, here are examples of projects our AI Automation Engineers work on:System Integration & Data OrchestrationConnect internal platforms with external third-party services, handling authentication, rate limiting, and error recoveryBuild real-time data synchronization pipelines that keep multiple systems consistentCreate webhook listeners and event processors that trigger automated workflows based on external eventsDesign data enrichment pipelines that pull information from multiple sources and merge it intelligentlyDocument & Data ProcessingBuild systems that automatically extract and transform structured data from documents, emails, and attachmentsCreate validation workflows that verify data accuracy and flag anomalies for human reviewDesign classification and routing logic that directs data to the appropriate downstream system or process Business Process AutomationBuild automated workflows that handle routine operational tasks, reducing manual effort across teamsDesign intelligent routing and matching logic that leverages data to drive better business outcomesCreate scheduling and coordination workflows that handle complex business logic and constraintsMonitoring & Operational IntelligenceBuild automated alerting and notification systems that detect failures and trigger appropriate responsesCreate reporting workflows that aggregate data from multiple sources for operational visibilityDevelop quality control systems that continuously validate data accuracy across integrated systemsPlatform & InfrastructureDevelop reusable integration components, templates, and design patternsCreate internal tooling that makes it easier to build, deploy, and manage integrationsEstablish monitoring, logging, and observability standards for all integration workflows