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Senior Software Engineer
- Insight Global (Seattle, WA)
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Job Description
• Design and develop integrations with cloud managed services.
• Design and develop scalable applications on Spark/Databricks.
• Collaborate with development team, other Information Technology (IT) teams’ developer leads.
• Initiate process improvements for new and existing systems.
• Design, develop, implement, document, and test relevant changes to an application subsystem.
• Support system and integration testing activities.
• Perform root cause analysis to identify permanent resolutions to software or business process issues.
• Initiate design reviews for new services or service integrations and adhere to software development standards.
• Perform cross-training and facilitate information sharing among team members.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
The successful candidate must have the minimum years of experience in each of the following:
• 4 years of software development experience using Python.
• 4 years of systems integration experience with AWS and Azure Cloud Managed Services:
o Amazon Managed Services Kafka
o Azure Event Hubs
o NATS.io – Message Mesh
• 4 years of experience using software engineering fundamentals, including algorithm theory and data structures.
• 3 years of experience using relational and non-relational, NoSQL databases.
• 3 years of experience using Spark / Databricks.
• 3 years of experience using data hygiene routines and models.
• 3 years of experience using CICD tools to build and deploy software systems.
• 3 years of experience working with Docker/Kubernetes
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