Ness Digital Engineering
DevOps Python Automation Developer
Ness Digital Engineering, Dallas, Texas, United States, 75215
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Ness Digital Engineering provided pay range
This range is provided by Ness Digital Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$130,000.00/yr - $150,000.00/yr Ness is seeking an Automation/DevOps Engineer with Python/scripting expertise. Customer is required by regulators to demonstrate the ability to run all clearing and risk systems through internal datacenter (“On-Prem”) and to be able to switch all production functionality running through On-Prem within the predefined SLA. The newly developed clearing and risk systems takes advantage of scalability, ease of provision, and the reduced cost offered by cloud services (AWS) and the cloud offered Multi-Region as Disaster Recovery (DR) strategy. The ideal candidate will have experience in Python and other scripting languages application development combined with integration with DevOps Tools and services. This role involves designing and building applications, collaborating with cross-functional teams, and contributing to high-quality code delivery. Responsibilities: As Automation/DevOps Engineer, setup CI/CD pipeline and automation for application deployment in Kubernetes Python F/S developer who is experienced in both Frontend and backend (50%/50% would be optimal) Design, develop, and maintain scalable and efficient applications Implement and maintain seamless integration between services and DevOps Tools Work with DevOps team to automate deployment DR strategy Automation of data replication between Cloud and failover environment required between all applications and shared services CI/CD deployment tools Continuously improve the processes and the DevOps team using thoughtful, calculated approaches to identify opportunities, and challenge those around you to strive for perfection Setup IaC pipelines using TFE and Ansible to automate the Infra deployments Work closely with Platform Engineering Team, Infra Team, and project managers to align project deliverables with business requirements. Work in the DevOps team, to build new shared infrastructure services for on premises failover environment: S3, Confluent Kafka, Data Store Ideate solutions to complex technical challenges; code, test, troubleshoot, debug, and document the solutions you develop. Use agile software development model to produce well-designed programs, scripts, and tools required to provision, configure, and monitor new shared infrastructure services for on premises failover environment Must have: We need someone who's good at setting up automation using Python for Automation along with DevOps tools like Jenkins, Artifactory, Confluent CFK, Kubernetes, Vault, SonarQube, GitHub, Terraform, Ansible, Rancher, and Harness. Plus, he/she should know about how to diagnose and debug complex issues across applications, collaborating with teams to ensure efficient resolution. And it'd be great if he/she has experience with AWS services and on-prem as hybrid environment. Code Quality: Ensure high standards of code quality through unit testing, code reviews, and adherence to best practices. Performance Optimization: Identify and resolve performance bottlenecks in applications and optimize integration with the Snowflake backend. Documentation: Develop and maintain comprehensive documentation, including code comments, technical specifications, and user guides. Security Compliance: Ensure that all development practices adhere to security standards and data governance policies, particularly in the financial services industry. Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps Experience in on-premises data center operations, AWS hosted data center and operations management Hands on experience with migrations tools Experience with continuous deployment tools, techniques, and automation frameworks – especially Terraform Enterprise and Ansible. Hands-on experience writing testable scripts using Python or other languages. Worked on projects involving deployment and management of micro services, and hybrid cloud/on-prem infrastructure Intermediate working knowledge of development tools like Maven/Gradle, Java, and distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology, Business Development, and Consulting Industries Software Development, IT Services and IT Consulting, and IT System Custom Software Development Referrals increase your chances of interviewing at Ness Digital Engineering by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Automation Developer” roles.
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This range is provided by Ness Digital Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$130,000.00/yr - $150,000.00/yr Ness is seeking an Automation/DevOps Engineer with Python/scripting expertise. Customer is required by regulators to demonstrate the ability to run all clearing and risk systems through internal datacenter (“On-Prem”) and to be able to switch all production functionality running through On-Prem within the predefined SLA. The newly developed clearing and risk systems takes advantage of scalability, ease of provision, and the reduced cost offered by cloud services (AWS) and the cloud offered Multi-Region as Disaster Recovery (DR) strategy. The ideal candidate will have experience in Python and other scripting languages application development combined with integration with DevOps Tools and services. This role involves designing and building applications, collaborating with cross-functional teams, and contributing to high-quality code delivery. Responsibilities: As Automation/DevOps Engineer, setup CI/CD pipeline and automation for application deployment in Kubernetes Python F/S developer who is experienced in both Frontend and backend (50%/50% would be optimal) Design, develop, and maintain scalable and efficient applications Implement and maintain seamless integration between services and DevOps Tools Work with DevOps team to automate deployment DR strategy Automation of data replication between Cloud and failover environment required between all applications and shared services CI/CD deployment tools Continuously improve the processes and the DevOps team using thoughtful, calculated approaches to identify opportunities, and challenge those around you to strive for perfection Setup IaC pipelines using TFE and Ansible to automate the Infra deployments Work closely with Platform Engineering Team, Infra Team, and project managers to align project deliverables with business requirements. Work in the DevOps team, to build new shared infrastructure services for on premises failover environment: S3, Confluent Kafka, Data Store Ideate solutions to complex technical challenges; code, test, troubleshoot, debug, and document the solutions you develop. Use agile software development model to produce well-designed programs, scripts, and tools required to provision, configure, and monitor new shared infrastructure services for on premises failover environment Must have: We need someone who's good at setting up automation using Python for Automation along with DevOps tools like Jenkins, Artifactory, Confluent CFK, Kubernetes, Vault, SonarQube, GitHub, Terraform, Ansible, Rancher, and Harness. Plus, he/she should know about how to diagnose and debug complex issues across applications, collaborating with teams to ensure efficient resolution. And it'd be great if he/she has experience with AWS services and on-prem as hybrid environment. Code Quality: Ensure high standards of code quality through unit testing, code reviews, and adherence to best practices. Performance Optimization: Identify and resolve performance bottlenecks in applications and optimize integration with the Snowflake backend. Documentation: Develop and maintain comprehensive documentation, including code comments, technical specifications, and user guides. Security Compliance: Ensure that all development practices adhere to security standards and data governance policies, particularly in the financial services industry. Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps Experience in on-premises data center operations, AWS hosted data center and operations management Hands on experience with migrations tools Experience with continuous deployment tools, techniques, and automation frameworks – especially Terraform Enterprise and Ansible. Hands-on experience writing testable scripts using Python or other languages. Worked on projects involving deployment and management of micro services, and hybrid cloud/on-prem infrastructure Intermediate working knowledge of development tools like Maven/Gradle, Java, and distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology, Business Development, and Consulting Industries Software Development, IT Services and IT Consulting, and IT System Custom Software Development Referrals increase your chances of interviewing at Ness Digital Engineering by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Automation Developer” roles.
Dallas, TX $78,800.00-$151,440.00 2 weeks ago Irving, TX $96,400.00-$144,600.00 1 week ago Automation Engineer - Shift C ( 12 am to 815 am)
Dallas-Fort Worth Metroplex $120,000.00-$130,000.00 2 weeks ago Arlington, TX $80,000.00-$110,000.00 6 months ago Dallas, TX $95,000.00-$110,000.00 5 months ago AI/ML Engineer - Smart Manufacturing and Automation
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Irving, TX $114,720.00-$172,080.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr