
1001 - 5000 employees
Founded 1999
đź’Ľ Consulting
🤝 B2B
🤖 Artificial Intelligence
Consulting • B2B • Artificial Intelligence
Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.
đź•’ July 24
Ansible
Apache
AWS
Cloud
EC2
ElasticSearch
Java
Jenkins
JUnit
Kafka
Kubernetes
NoSQL
Prometheus
RabbitMQ
SDLC
Spark
Splunk
Terraform
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1001 - 5000 employees
Founded 1999
đź’Ľ Consulting
🤝 B2B
🤖 Artificial Intelligence
Consulting • B2B • Artificial Intelligence
Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.
• Support the application development of big data application for business requirements in agreed architecture framework and Agile environment • Thoroughly analyzes requirements, develops, tests, and documents software quality to ensure proper implementation • Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented • Performs application and project risk analysis and recommends quality improvements • Assists Production Support by providing advice on system functionality and fixes as required • Communicates in a clear and concise manner all time delays or defects in the software immediately to appropriate team members and management • Experience with resolving security vulnerabilities
• 5+ year of experience in building high speed, data-centric solutions • Java 5+ years experience • Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc • Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Kafka • Experience with cloud technologies and migrations. Experience preferred with AWS foundational services like VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc • Experience developing and delivering technical solutions using public cloud service providers like Amazon, Google • Experience writing unit and integration tests with testing frameworks like Junit, Citrus • Experience working with various types of databases like Relational, NoSQL, Object-based, Graph • Experience following Git workflows • Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc • Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics
• None
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