~1mo ago

Senior Integration Engineer (Remote, Anywhere in Pakistan, EUR Salary)

Pakistan·Lahoresenior

OtherIntegration Engineer

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Quick Summary

Key Responsibilities

Design, build, test, deploy, and operate event-driven services using AWS services such as SQS/SNS, Lambda, EventBridge, Step Functions, S3, and API Gateway.

Requirements Summary

6+ years of experience building and operating backend or integration services in production. Proven end-to-end ownership, from designing and building to shipping and operating systems.

Technical Tools

OtherIntegration Engineer

Requirements

~2 min read

6+ years of experience building and operating backend or integration services in production.
Proven end-to-end ownership, from designing and building to shipping and operating systems.
Strong hands-on experience with AWS serverless and messaging services, including SQS/SNS, Lambda, S3, EventBridge, Step Functions, API Gateway, CloudWatch, and Secrets Manager.
Strong backend engineering experience with Node.js, TypeScript, Python, or a similar modern language.
Go experience is a plus, but not required, the candidate should be able to learn it quickly and contribute to our tooling.
Strong knowledge of integration and messaging patterns, including idempotency, deduplication, ordering, dead-letter queues, replay, retry/backoff, and fault tolerance.
Strong experience with JSON, XML/XSD, and CSV, including parsing, validation, transformation, and mapping.
Solid API skills, including designing and consuming REST APIs, along with practical experience with partner integration requirements such as SOAP, SFTP, and batch files.
A track record of mentoring or leading engineers and raising the team's engineering standards.
Strong problem-solving and debugging skills, with the ability to trace failures across multiple systems and identify the root cause.
Experience with structured logging, monitoring, and building observable systems.
Genuine, hands-on use of AI tools in real engineering work, with a clear understanding of where they add value and where they do not.
Production Go experience is a plus.
Experience with PHP, as several existing integrations use it and will need to be maintained and gradually migrated.
Experience with a transformation language such as XSLT or DataWeave.
Experience with Infrastructure as Code, including Terraform, CDK, or CloudFormation, and CI/CD pipelines.
Experience with streaming and storage technologies beyond the basics, including Kinesis, DynamoDB, and OpenSearch.
Experience working with government, regulated, or GDPR-sensitive data domains.
Experience in AgriTech, IoT, supply-chain systems, or enterprise integration platforms such as MuleSoft, Boomi, or Camel is a plus.

Responsibilities

~1 min read

→Design, build, test, deploy, and operate event-driven services using AWS services such as SQS/SNS, Lambda, EventBridge, Step Functions, S3, and API Gateway.
→Extend the canonical data model with Mykola to standardise data from multiple sources into one consistent internal representation.
→Build connectors that ingest from and deliver to external partner systems, transforming data between source, canonical, and destination formats with schema and business-rule validation.
→Design reliable integrations with idempotency, deduplication, ordering, dead-letter queues, replay, retry/backoff, and fault tolerance, ensuring delivery remains reliable when external systems are unavailable.
→Ship VetLink and subsequent integrations end to end, including design, development, testing, deployment, monitoring, documentation, and operational runbooks.
→Maintain and modernise existing integrations, including government/compliance APIs, IoT feeds, supply-chain partners, and third-party software, with some legacy integrations written in PHP.
→Review pull requests, set engineering standards, unblock the two mid-level engineers, and contribute to their growth within the team.
→Build and maintain systems with strong structured logging, monitoring, observability, and debugging capabilities.
→Investigate production issues across multiple systems and trace failed messages to their root cause.
→Use AI tools hands-on in real engineering work, applying sound judgment about where they help and where they get in the way.