Role Description We are seeking a Software Engineering Team Lead to join our Dashboards team, to develop a cutting-edge custom dashboarding system for exploring observability data. Dashboards are the heart of the Coralogix app, offering fully custom, multi-stream dashboards with dynamic widgets that adapt to diverse observability data, from logs and metrics to traces and security events. - Lead, mentor, and grow a team of full stack engineers, conducting code reviews, 1:1s, and providing technical guidance. - Drive the technical roadmap for our dashboarding platform, ensuring high code quality, performance, and scalability. - Architect and implement new features in our custom dashboarding system using modern frontend technologies. - Champion frontend best practices including performance optimizations, accessibility, and clean, maintainable code. - Collaborate closely with product and design teams to translate complex data exploration needs into intuitive UI/UX. - Stay current with the latest frontend technologies and trends, evaluating and introducing improvements where appropriate. - Champion the adoption of AI-assisted and agentic development workflows within the team, staying ahead of industry trends in how AI tools are reshaping the engineering process. Qualifications - 5+ years of experience in software engineering, with at least 2 years in a team lead role. - Proven experience as a frontend engineer; full-stack background is a plus. - Strong proficiency in JavaScript, TypeScript, CSS, and HTML. - Experience with at least one major frontend framework (Angular, React, Vue, etc.). - Experience working in fully remote teams. - Strong communication, leadership, and cross-functional collaboration skills. - Attention to detail and a passion for building high-performance, visually appealing interfaces. - Demonstrated ability to drive performance optimizations in frontend applications. - Hands-on experience with AI-powered development tools and a drive to continuously evolve how the team builds software. - Background in developing data visualization or dashboarding systems. Requirements - Experience with modern Angular is advantageous. Cultural Fit We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you. Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

• Developing and maintaining ETL/ELT pipelines using AWS Glue • Using AWS Glue Salesforce connectors to extract and ingest Salesforce data • Transforming, validating, and enriching data within the AWS data platform • Loading processed data into Microsoft Dynamics 365 using Glue integrations/connectors • Designing scalable, resilient, and efficient cloud-based data workflows • Developing Python scripts and Glue jobs for data processing and automation • Writing and optimizing SQL queries for data transformation and analysis • Monitoring and troubleshooting data pipelines and integrations • Collaborating with engineering, platform, and business teams to deliver integrations quickly and reliably • Supporting CI/CD processes and deployment automation for data solutions • Following AWS best practices and Well-Architected principles

Role Description We are seeking a skilled Databricks Engineer with strong expertise in cluster performance optimization, storage tuning, and platform reliability. The ideal candidate will be responsible for ensuring efficient, stable, and scalable Databricks operations, especially during mission-critical processing cycles, while supporting integrated Snowflake–Databricks ecosystems. Qualifications - Strong expertise in cluster performance optimization - Experience in storage tuning - Knowledge of platform reliability - Ability to support integrated Snowflake–Databricks ecosystems Requirements - Experience with Databricks operations - Ability to manage mission-critical processing cycles Benefits - Inclusive workplace culture - Opportunities for growth and learning - Commitment to well-being and individual celebration

Role Description Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Data Engineer to join our dynamic team on a full-time basis. - Developing and maintaining ETL/ELT pipelines using AWS Glue - Using AWS Glue Salesforce connectors to extract and ingest Salesforce data - Transforming, validating, and enriching data within the AWS data platform - Loading processed data into Microsoft Dynamics 365 using Glue integrations/connectors - Designing scalable, resilient, and efficient cloud-based data workflows - Developing Python scripts and Glue jobs for data processing and automation - Writing and optimizing SQL queries for data transformation and analysis - Monitoring and troubleshooting data pipelines and integrations - Collaborating with engineering, platform, and business teams to deliver integrations quickly and reliably - Supporting CI/CD processes and deployment automation for data solutions - Following AWS best practices and Well-Architected principles Qualifications - Strong hands-on experience with AWS Glue - Strong experience with AWS cloud services, including: S3, Lambda, Step Functions, CloudWatch, SQS / SNS, ECS - Experience building ETL/ELT pipelines in AWS environments - Experience integrating data from Salesforce - Strong SQL skills - Proficiency in Python - Experience processing structured and semi-structured data - Good understanding of scalable and resilient data architectures - Experience with CI/CD practices - Experience working in Agile environments and fast-paced delivery teams Requirements - Experience integrating with Microsoft Dynamics 365 - Experience with Terraform and/or CloudFormation - Experience with Amazon Redshift - Knowledge of Athena, Kinesis, DynamoDB, and DynamoDB Streams - Experience building Spark/PySpark data processing jobs - Understanding of enterprise data governance and compliance standards (GDPR/PECR/DPA) - AWS certifications - Experience with enterprise Salesforce implementations - Experience with CRM migration or synchronization projects - Exposure to event-driven or streaming-based architectures - Experience working on cloud-based enterprise data platforms