Top Tech Jobs & Startup Jobs

Lead the modernization and automation of large-scale global network infrastructure using Network-as-Code, Infrastructure-as-Code, GitOps, and CI/CD. Design Kubernetes networking and enterprise routing architectures, support hybrid environments, and serve as a Tier-4 escalation authority. Responsibilities include troubleshooting complex network failures, leading root cause analyses, improving reliability, and automating security and compliance validation for network deployments.

Develop scalable full-stack web applications using React.js, Java, Spring Boot, MongoDB, AWS, and Azure. Build RESTful APIs, optimize databases, deploy and monitor cloud applications, maintain CI/CD pipelines, and apply DevOps, security, testing, and code-quality practices. Collaborate with cross-functional Agile/Scrum teams and use Docker, Kubernetes, Infrastructure as Code, and AI coding assistants to improve delivery.

Design, develop, and optimize Snowflake-based data pipelines, ETL/ELT workflows, APIs, and data processing solutions using Python, SQL, DBT, and Airflow. Perform data ingestion, transformation, validation, troubleshooting, database optimization, testing, and CI/CD. Collaborate with technical and business teams, support cloud-based solutions, improve data engineering processes, and mentor junior engineers.

Develop and support NICE CXone contact center solutions, including call flows, routing, IVR applications, API integrations, and omnichannel platform migrations. Responsibilities include release planning, testing, deployment, troubleshooting, network optimization, technical support, issue resolution, and coordination with architecture and agency teams. The role also oversees support tickets and translates business requirements into technical solutions.

Monitors enterprise infrastructure, applications, and contact center systems; triages and coordinates incident resolution; documents outages and corrective actions; prepares operational reports; communicates with technical teams, business stakeholders, and vendors; participates in incident reviews; and uses AI tools to improve documentation and automate repetitive operational tasks.

Develop and support modern data pipelines, ETL/ELT solutions, and Lakehouse architectures using Azure Databricks, Spark, PySpark, SQL, and Azure Data Factory. Integrate diverse data sources with SQL Server data warehouses, maintain analytical data models, optimize large-scale processing, ensure data quality and performance, and support Power BI reporting. Collaborate with BI teams while contributing to cloud data architecture implementations under senior guidance.

Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, PySpark, SQL, and Azure Data Factory. Integrate multiple data sources with SQL Server data warehouses, maintain analytical data models, optimize large-scale processing, ensure data quality and performance, and collaborate with BI teams supporting Power BI and reporting platforms. Participate in cloud data architecture implementations under senior guidance.

Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, PySpark, SQL, and Azure Data Factory. Integrate data from multiple sources with SQL Server data warehouses, maintain analytical data models, optimize large-scale processing, ensure data quality and performance, and support Power BI reporting. Collaborate with BI teams and contribute to cloud data architecture implementations under senior guidance.

Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, PySpark, SQL, and Azure Data Factory. Integrate multiple data sources with SQL Server data warehouses, maintain analytical data models, optimize large-scale processing, ensure data quality and performance, and support Power BI reporting. Collaborate with BI teams and contribute to cloud data architecture implementations under senior guidance.

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 data quality, scalability, and performance; and support Power BI analytics. Collaborate with BI teams and contribute to cloud data architecture implementations under senior guidance.