Top Python Jobs in Hartford, CT
CrowdStrike is looking for a Network Operations Engineer with advanced technical skills in networking, systems, tooling, and automation to support and improve network operations for their hyper-scale hybrid cloud network.
Seeking a Sr. Threat Detection Engineer for the CrowdStrike Next-Generation Security Information and Event Management (NG SIEM) Response team. Responsibilities include analyzing threat actor tactics, driving efforts to mitigate them, and improving detection capability for the Falcon NG SIEM platform. Requires proficiency in using traditional SIEM systems, Security Orchestration, Automation, and Response (SOAR) tools.
Looking for an Engineer II to join the Production Systems team at CrowdStrike. Responsibilities include designing and implementing data pipelines, resolving discrepancies between sources, and developing automated quality checks. The role requires experience in scripting for automation, optimizing SQL queries, and strong conceptual understanding of network and systems infrastructure.
As an Application Automation Engineer at Discover, you will design and implement automation solutions to strengthen Payment Services applications, focusing on eliminating manual tasks and improving application reliability. Responsibilities include creating automation solutions, converting requirements into code, monitoring performance metrics, and participating in strategic technology discussions.
Join a dynamic team as a Senior Software Developer In Test at Instacart. Spearhead the development of automated tests, perform database queries, conduct various types of testing, collaborate with cross-department teams in an Agile environment, and ensure the quality of products through data-informed decisions.
Featured Jobs
Join Celonis as a Site Reliability Engineer to build and operate resilient, reliable, and scalable systems, ensuring product health and peak performance. Take ownership of complex issues, provide technical leadership on reliability, and drive continuous improvement.
Join Celonis as a Software Engineer focusing on Site Reliability Engineering. Responsibilities include software design, improvement of product efficiency, monitoring, and automation. Requires a bachelor's or master's degree, 5 years of experience, and proficiency in Java, Spring, and Python.
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As a Staff Software Engineer on the Refunds API team at Square, responsible for designing, building, and maintaining payment services and infrastructure. Involved in high-volume, low-latency transaction processing systems, data security, and compliance. Mentoring engineers, contributing to team direction, and collaborating on global payments strategy.
Join the Shield Engineer - Site Reliability Team at a growing company, enhancing efficiency, resolving issues, and automating tasks. Collaborate with teams, analyze metrics, and engineer solutions using AWS, Python, Java, and more.
As a DevOps Software Developer, you will work on automating code testing, improving CI/CD pipelines, and maintaining production systems. Key responsibilities include building cloud infrastructure, automating deployments, and implementing monitoring solutions. The ideal candidate has experience with AWS, Terraform, container technologies, scripting languages, and CI/CD tools.
As a Senior/Staff Software Engineer at Domino Data Lab, you will have a deep knowledge of the codebase and core platform services, identify and fix technical issues, represent the team in technical discussions, and mentor junior team members. Strong programming language skills, experience in large-scale systems, and problem-solving abilities are essential.
Seeking a Senior Software Developer for Virtualization and SIL Integration at General Motors. Responsible for creating virtual in-the-loop environments for embedded controllers and calibrations. Requires expertise in system simulation, integration, modeling, and automotive communication technologies.
Seeking a Senior AI Engineer to develop and implement cutting-edge machine learning models and algorithms, preprocess and analyze large datasets, train and evaluate machine learning models, deploy models to production environments, and optimize model performance.
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