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# Platform Engineer

- **Company:** IntraEdge, Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Software Quality, Continuous Integration, Data as a Services, Information Engineering, Github, Python (Programming Language), Snowflake, Mttr, AWS Lambda, Gitlab, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing
- **Published:** October 13, 2026
- **Apply:** https://jobs.intraedge.com/jobdetails.asp?jo_num=20654&apply=yes&

## About the Role

* 7+ yrs software/data engineering; strong Python; Snowflake SQL & APIs; AWS serverless (Lambda/Glue/SQS).
 * CI/CD (GitHub/GitLab/Azure DevOps), IaC (Terraform/CFN), observability (CloudWatch, logs, tracing).

## Description

ole summary: Build scalable data services and integrations around Snowflake using Python and AWS., * Design/build Python services and data apps integrating with Snowflake (connectors, stored procs, UDFs).

 * Use AWS Lambda, Glue, SQS (and optionally Step Functions) to deliver resilient pipelines & event flows.
 * Partner with product/analytics to translate requirements into reliable solutions; maintain code quality via reviews/tests.
 * Implement best practices (IaC, CI/CD, observability); author technical docs.
 * Diagnose and resolve production issues; drive root-cause fixes.

Requirements

 * 7+ yrs software/data engineering; strong Python; Snowflake SQL & APIs; AWS serverless (Lambda/Glue/SQS).
 * CI/CD (GitHub/GitLab/Azure DevOps), IaC (Terraform/CFN), observability (CloudWatch, logs, tracing).

KPIs

 * Pipeline success rate, defect/incident rate & MTTR, throughput/latency SLOs, change failure rate., * Design/build Python services and data apps integrating with Snowflake (connectors, stored procs, UDFs).
 * Use AWS Lambda, Glue, SQS (and optionally Step Functions) to deliver resilient pipelines & event flows.
 * Partner with product/analytics to translate requirements into reliable solutions; maintain code quality via reviews/tests.
 * Implement best practices (IaC, CI/CD, observability); author technical docs.
 * Diagnose and resolve production issues; drive root-cause fixes.