Top Tech Jobs & Startup Jobs

Develop and integrate scalable AI solutions using large language models and NLP. Responsibilities include designing NLP models, applying machine learning to business problems, building data pipelines with DBT, Snowflake, and Airflow, conducting data analysis and feature engineering, evaluating and deploying models, monitoring production performance, collaborating with technical and business teams, and documenting workflows.

Design, develop, and optimize NLP and machine learning solutions using large language models. Build scalable data pipelines with dbt, Snowflake, and Airflow; perform data analysis, feature engineering, and model evaluation; deploy and monitor production models; and collaborate with technical and business teams to deliver AI/ML solutions. Document models and workflows to support reproducibility and knowledge sharing.

Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, PySpark, SQL, and Azure Data Factory. Maintain SQL Server data platforms, ETL solutions, data models, and warehouse structures; integrate multiple data sources; optimize large-scale processing; ensure data quality and performance; and collaborate with BI teams supporting Power BI and reporting platforms under senior guidance.

Develop and maintain customer CRM integrations for a scalable global voice platform. Responsibilities include supporting existing code, resolving bugs, implementing CRM CTI API features, designing JavaScript and Java solutions, building microservices and REST APIs, troubleshooting production systems, applying DevOps practices, collaborating in Agile teams, and maintaining unit and functional test coverage.

Support and optimize AWS infrastructure for Amazon Connect and enterprise cloud platforms. Manage Terraform-based infrastructure, automate operations with Python and AWS CLI, improve reliability through incident response and disaster recovery, build observability dashboards and alerts, support CI/CD and releases, and collaborate on scalable, secure cloud operations.

Support and optimize AWS infrastructure for Amazon Connect and enterprise cloud platforms. Manage Terraform-based Infrastructure as Code, automate operations with Python and AWS CLI, and improve reliability through incident response, root-cause analysis, disaster recovery, and production readiness. Build self-healing automation, runbooks, dashboards, alerts, and observability solutions. Support CI/CD pipelines, deployments, and release management while collaborating with engineering and operations teams on scalability, security, and operational excellence.

Develop and maintain CRM integrations and a scalable global voice platform. Responsibilities include designing JavaScript and Java solutions, building REST microservices, troubleshooting production systems, applying performance and reliability practices, collaborating in Agile teams, and maintaining unit and functional test coverage. The role also requires technical documentation and stakeholder communication, with cloud platform and real-time communications experience beneficial.

Develop and maintain customer CRM integrations for a scalable global voice platform. Responsibilities include supporting existing code, resolving bugs, implementing CRM CTI API features, building JavaScript and Java solutions with Spring, troubleshooting production systems, and creating unit and functional tests. The role collaborates with product, architecture, engineering, and testing teams while applying scalability, reliability, and DevOps practices.

Test and improve backend automation for a cloud contact center platform. Responsibilities include validating new features, troubleshooting defects, performing API, microservices, database, and compatibility testing, analyzing logs, and supporting system stability and scalability. The role requires Python-based automation, cloud platform experience, version control, bug tracking, test management, and familiarity with Linux and databases.

Test and improve backend automation for a cloud contact center platform. Responsibilities include validating new features, troubleshooting defects, performing API and microservices testing, analyzing logs, testing databases, and ensuring system stability, scalability, and compatibility. The role requires collaboration with development teams and maintaining existing automated test suites using Python and cloud technologies.