Sr. Integration Engineer

Role overview

Sr. Integration Engineer at Cognida.ai

Required qualifications

• standard objects (Customers, Sales Orders, Invoices, Vendors), upsert vs. insert logic, and handling nulls from upstream systems.
• Strong understanding of integration error handling patterns: batch partial failure, document-level error routing, retry mechanisms, and deduplication strategies.
• Experience with file-based integrations: SFTP with PGP encryption/decryption, and cloud file stores (Google Drive, SharePoint) including auth differences and re-processing prevention.
• Ability to lead integration scoping independently with enterprise customers — asking discovery questions, documenting requirements, and managing scope boundaries.
• Proficiency with REST and SOAP web services, JSON and XML data mapping, and scripting (Groovy, JavaScript, or equivalent) for data transformation.
• Strong written communication skills — you document clearly, follow up in writing, and write customer-facing messages that are calm and specific under pressure.
• Comfortable using AI-assisted coding tools (GitHub Copilot, Claude Code, Cursor, or similar) as a core part of your daily development workflow.
• Able to critically evaluate AI-generated code, mappings, or triage suggestions — you use AI to move faster, never to skip validation.
• Experience with both Boomi and Workato — Automate customers use both platforms.
• Boomi certifications (Professional Integration Developer, API Design, API Management) or Workato certifications (Solution Consultant, Implementation Specialist).
• Experience with Boomi Master Data Hub (MDH) or similar master data management patterns.
• Familiarity with NetSuite Advanced Billing (ZAB) or revenue recognition object models.
• Exposure to AWS services (S3, Lambda, webhooks) in an integration pipeline context.
• Prior experience in a SaaS Professional Services, Solutions Engineering, or Forward Deployed Engineering team with direct customer delivery accountability.
• Experience applying LLM/AI techniques to integration or data problems — e.g., AI-assisted extraction, classification, or anomaly detection in a production pipeline.
• Familiarity with prompt engineering or building lightweight AI agents/automations to support operational or support workflows.

Preferred qualifications and skills

• Strongly preferred

Employment details

• Location: Hyderabad Experience:6 + Years Role overview We are looking for an experienced Integration Engineer to join our FDE team.
• You will own the design, implementation, and production support of enterprise integrations that connect Automate with customers’ source systems — including Salesforce, NetSuite, Google Drive, SharePoint, SFTP, and custom REST/SOAP APIs — using iPaaS platforms including Boomi and Workato.
• This is a delivery-focused, customer-facing role.
• You will work directly with enterprise customers to gather integration requirements, translate them into scoped technical specs, build the integration, and own it through to production.
• You will also triage and resolve production failures with speed and clarity.
• Because this is an AI-first team, you’ll be expected to use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar) as a default part of how you design, build, and debug integrations — not as an occasional convenience — while retaining full ownership of correctness and production quality.
• What you’ll do Integration design and delivery
• Own end-to-end integration builds on Boomi and Workato — from requirements through go-live — covering Salesforce→Automate deal ingestion, NetSuite billing sync, SFTP/cloud file-based ingestion, and Automate→SFDC sync-back.
• Design integration architecture that accounts for trigger strategy, error handling, deduplication, and partial failure scenarios from day one — not as an afterthought.
• Translate ambiguous customer requirements into clearly scoped integration specs with defined field mappings, edge cases, and acceptance criteria before writing any configuration.
• Coordinate UAT with customers, manage the go-live process, and own post-launch monitoring and stabilization.
• Build robust error handling into every integration: batch partial failure routing, retry with backoff, alerting, and dead letter queues.
• Use AI-assisted development tools to scaffold connector logic, draft field mappings, and speed up integration builds — while validating every AI-generated output against real source-system data before it ships.
• Spot places in the integration pipeline where AI/LLM-based processing (e.g., unstructured document classification, intelligent field extraction, anomaly detection) could replace brittle rule-based logic, and prototype those improvements with the platform team.
• Customer engagement
• Lead integration scoping calls with enterprise customers — asking structured discovery questions, surfacing unstated assumptions, and pushing back constructively when requirements are vague or out of scope.
• Communicate trade-offs, timeline impacts, and technical constraints to both technical and non-technical stakeholders in clear, direct language.
• Manage scope in writing: document all requirement changes, flag risks early, and keep customers aligned throughout the implementation lifecycle.
• Respond to production failures with calm, specific customer communication — stating what you know, what you don’t, and what your next step is.
• Speak credibly with customers about where AI is used in their integration (e.g., AI-assisted mapping, intelligent exception handling), and set accurate expectations about what AI automates versus what still requires human review.
• Production support
• Triage integration failures by analyzing platform job logs, API responses, and field mappings — systematically distinguishing trigger failures from execution failures from downstream rejections.
• Reproduce issues against specific records (e.g., Salesforce Opportunity IDs, NetSuite transaction IDs) to isolate root cause before escalating.
• Identify recurring patterns across customer incidents and contribute to platform-level fixes or internal knowledge base documentation.
• Use AI-assisted log analysis and root-cause classification to accelerate triage, while knowing when an AI-suggested cause needs manual confirmation against the actual record before you act on it.
• Contribute improvements to Automate’s internal AI-powered on-call and triage tooling based on patterns you observe across customer incidents.
• What we’re looking for Required
• 4+ years of hands-on iPaaS integration experience using Boomi and Workato, including production deployments at enterprise scale.
• Proven Salesforce integration depth: Opportunity-level data, ContentDocument/attachment retrieval, bidirectional sync-back, Salesforce API limits, and trigger behavior.
• Solid NetSuite integration
• Location: Hyderabad [India]

About the employer

• Our Purpose is to boost your competitive advantage using AI and Analytics.
• We Deliver tangible business impact with data-driven insights powered by AI.
• Drive revenue growth, increase profitability and improve operational efficiencies.
• We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements.
• Applying our latest learnings, and tools to solve your everyday business challenges.
• We Believe the power of AI should not be the exclusive preserve of the few.
• Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.
• We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses.
• With Cognida.ai, our motto is ‘No enterprise left behind’.
• Role :Sr. Integration Engineer