
Software Engineer
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Insight Global is hiring a Software Engineer. A highly skilled Senior Software Engineer is sought to design, build, and scale modern cloud-native applications for a top financial services client. This role involves working with REST-based microservices using Java or Python, leveraging containerized platforms like Kubernetes, and contributing to CI/CD-driven delivery in a cloud environment. The engineer will collaborate with cross-functional teams in an Agile environment to deliver robust, scalable, and high-quality business solutions.
Key focus areas include Design, develop, and maintain REST-based microservices using Java or Python, with a strong focus on Spring Boot, Build and deploy scalable, cloud-native applications leveraging AWS and Kubernetes (EKS), and Contribute to and improve CI/CD pipelines, ensuring reliable and automated deployments.
Successful candidates bring Bachelor's or Master's in Computer Science, 5+ Years Java or Python, and Strong Experience Building REST Microservices. Important skills include Java, Python, Kubernetes, CI/CD, REST-based Microservices, and Spring Boot.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
One of our top financial services clients is looking for a highly skilled Sr. Software Engineer to design, build, and scale modern cloud-native applications. In this role, you will work on REST-based microservices using Java or Python, leverage containerized platforms such as Kubernetes, and contribute to CI/CD-driven delivery in a cloud environment. Exposure to AI/ML and experience in the Asset Management domain are strong pluses.
You will collaborate closely with cross-functional teams in an Agile environment to drive robust, scalable, and high-quality business solutions.
Key Responsibilities
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Design, develop, and maintain REST-based microservices using Java or Python, with a strong focus on Spring Boot.
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Build and deploy scalable, cloud-native applications leveraging AWS and Kubernetes (EKS).
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Contribute to and improve CI/CD pipelines, ensuring reliable and automated deployments.
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Collaborate with product owners, architects, and other engineers to deliver business-driven solutions.
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Ensure high standards of code quality, performance, security, and maintainability.
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Participate in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives.
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Troubleshoot, debug, and resolve production issues in a timely manner.
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Continuously evaluate and adopt new technologies, including AI/ML, where applicable.
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
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Bachelor’s or Master’s degree in Computer Science or a related technical field.
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5+ years of hands-on experience developing applications in Java or Python.
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Strong experience building REST-based microservices using Spring Boot.
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Working knowledge of Kubernetes, specifically within an AWS EKS environment.
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Fundamental working knowledge of PL/SQL
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Experience with cloud-based infrastructure and CI/CD practices.
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Experience working in an Agile development environment. - Exposure to or hands-on experience with AI/ML technologies.
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Understanding of the Asset Management domain or financial services systems.
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