Software testing and engineering services firm delivering SAP, data and app builds
AppSierra is a QA and product engineering services firm whose job posts point well beyond testing: SAP TM, S/4HANA and Field Service Management implementations, Conga CLM integrations, and data pipelines on Spark, Airflow, NiFi and Cloudera. Adoption of AWS Glue, Lambda and dbt alongside on-prem Cloudera suggests hybrid data modernization work, while replacing Salesforce Commerce Cloud, Oracle Commerce Cloud and commercetools signals legacy commerce migration projects.
Notable leadership hires: Technical Lead
AppSierra is a privately held technology services company founded in 2015, with its registered headquarters in Lewes, Delaware, and a workforce of 201–500 employees. Its core offerings span software quality assurance, including manual, automation, performance and mobile app testing, alongside web and mobile application development. The company also delivers enterprise implementation work covering SAP modules, contract lifecycle management platforms and cloud data engineering. Hiring is concentrated in India, with an engineering-led, senior-heavy mix supported by data, legal, sales and support roles.
AppSierra works with Apache Spark, Airflow, NiFi, Cloudera, AWS, Docker, Kubernetes, Terraform, Jenkins, Python and PostgreSQL, plus SAP S/4HANA, SAP TM, SAP EWM, SAP SuccessFactors and Conga CLM.
Active projects include SAP TM implementation integrated with S/4HANA, transportation planning optimization, an automated dispatch system, GPS tracking integration, and Conga CLM integration with Salesforce and other systems.
AppSierra is hiring in India, with accelerating velocity focused mainly on senior engineering and data roles, plus legal, sales and support positions.
Other companies in the same industry, closest in size
AppSierra's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.