• Develop and maintain our AI platform using Azure AI Studio and AWS Bedrock. • Implement and optimize AI algorithms and models. • Collaborate with cross-functional teams to understand business requirements and design effective AI solutions. • Integrate AI technologies, such as Cognitive Services, into our platform. • Stay up to date with the latest advancements in AI and ML and propose innovative solutions. • Ensure the scalability, reliability, and performance of the AI platform. • Collaborate with cross-functional teams to gather and analyze requirements for AI and software development projects. • Design, develop, and maintain AI-powered applications, ensuring adherence to coding standards and best practices. • Utilize Power Apps, Power Automate, AI Builder, and Azure AI Studio to create innovative and efficient solutions. • Coordinate development, testing, and deployment activities for assigned AI solutions and enhancements. • Develop and maintain APIs, integrations, and connectors to enhance system functionalities. • Perform and review all the DevOps activity in different cloud platforms, Azure, AWS, OCI and GCP. • Support implementation of governance, data sensitivity, security, and operational requirements based on established policies. • Conduct thorough testing, debugging, and performance optimization to ensure quality and reliability. • Troubleshoot and resolve issues, performing root cause analysis when necessary. • Track progress, risks, dependencies, and delivery timelines; escalate issues as needed. • Ensure adherence to engineering best practices including code quality, testing, documentation, and CI/CD usage. • Collaborate with team members and provide technical guidance, mentorship, and support. • Stay up to date with industry trends and advancements in AI, automation, and cloud technologies. • Ensure timely completion of assigned projects and deliverables. • Complete all responsibilities as outlined in the annual performance review and/or goal setting.

Role Description We are seeking a talented Site Reliability Engineer / DevOps Engineer with 7+ years of experience to help design, build, and optimize scalable, secure, and resilient cloud-native platforms. In this role, you will partner with cross-functional teams to strengthen automation, streamline delivery pipelines, improve observability, and enhance platform reliability across Azure-based environments. This is an exciting opportunity for someone who thrives in complex technical environments, enjoys solving operational challenges, and is passionate about delivering meaningful, customer-focused outcomes through modern engineering practices. Responsibilities - Design, implement, and support scalable SRE and DevOps solutions across cloud-native environments. - Build and enhance CI/CD pipelines to improve deployment speed, quality, and reliability. - Manage and optimize Kubernetes-based container platforms for performance, scalability, and resilience. - Work within Azure Cloud environments to deploy, monitor, and maintain modern infrastructure solutions. - Develop and maintain automation scripts and tooling using Python or similar languages. - Implement Infrastructure as Code using tools such as Terraform and Ansible. - Support API Management capabilities to enable secure, reliable, and scalable integrations. - Drive observability initiatives through monitoring, logging, alerting, and performance analysis. - Troubleshoot complex production and platform issues, conduct root cause analysis, and implement preventative improvements. - Collaborate with engineering, operations, and business stakeholders to deliver reliable, customer-centric technology solutions. - Advocate for best practices in cloud-native architecture, operational excellence, automation, and continuous improvement. Qualifications - 7+ years of experience in Site Reliability Engineering, DevOps, or related roles. - Strong automation and scripting skills in Python or similar programming languages. - Hands-on experience building and managing CI/CD pipelines. - Strong expertise with Kubernetes and container orchestration technologies. - Experience working with Azure Cloud and modern cloud platform services. - Deep understanding of cloud-native architectures and distributed systems. - Experience with Infrastructure as Code tools, including Terraform and Ansible. - Knowledge of API Management concepts, platforms, and integration patterns. - Strong troubleshooting, incident resolution, and root cause analysis skills. - Experience with observability tools and practices, including monitoring, logging, and alerting. - Ability to work collaboratively with diverse teams and stakeholders. - Strong communication skills and a results-driven, customer-focused mindset. Requirements - The base salary range for this position is $92,250 to 120,000 plus incentives that align with individual and company performance. - Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. - Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays. Physical and Mental Requirements - The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. - Work is generally sedentary in nature. Equal Employment Opportunity Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law. Accommodation Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Work Authorization In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.

• Provision and manage cloud infrastructure in AWS (EC2, EKS, RDS, etc.) • Implement Infrastructure as Code using Terraform and AWS CloudFormation. • Manage containerized environments using Docker and Kubernetes. • Build and maintain CI/CD pipelines. • Ensure continuous delivery and deployment best practices. • Monitor systems and applications using tools such as AWS CloudWatch, New Relic, Nagios, Zabbix, or APM tools.

• As a Software Release Engineer, you will plan, execute, and govern the release of software binaries and associated data files for internal and external customers. • Ensure all deliverables adhere to approved release processes—including emerge Work Orders, Ticket To Ride approvals, and SPR postings—while maintaining strict compliance, documentation accuracy, and end‑to‑end traceability. • Work both independently and collaboratively: independently managing the creation and validation of engineering Work Orders, and collaboratively partnering with engineering, calibration, validation, and program teams to secure all required authorizations and ensure aligned release timing. • Contribute to process improvement by documenting lessons learned, mentoring peers, and supporting initiatives that enhance consistency, automation, and overall release quality. • Stay current on emerging technologies, tools, and industry practices to ensure GM continues to advance its software delivery capabilities.