Job
Description
8 + years with at least 5+ years in eCommerce and/or OMS domain. Should have good End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. Good proficiency in minimum two areas is mandatory apart from eCommerce. Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS). Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc. Preferably having good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc. Any additional knowledge on OMS and Store domains will be added advantage. Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications. Should be able to understand system end-end, maintain application and troubleshoot issues. Good understanding of Data Structures and Entity models. Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS. Expertise in integrating synchronously and asynchronously with third party web services. Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc. Knowledge of any major eCommerce / OMS platforms will have added advantage. Must have a working knowledge of Production Application Support. Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket. Good knowledge of observability tools like NewRelic, DataDog, Graphana, Splunk etc. with knowledge of configuring new reports, proactive alert settings, monitoring KPIs etc. Should have a fairly good understanding of L3 support processes. Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive. Should be flexible to work with some part of onsite (PST) hours overlap, to hand off / transition work for the day to the onsite counterpart for L3. Show more Show less
