• Design, build, and maintain AWS infrastructure, improving scalability, resilience, and cost efficiency across environments • Develop and manage Infrastructure-as-Code using Terraform, ensuring modular, reusable, and consistent deployments • Design and implement CI/CD pipelines (GitLab preferred) across application, data, and infrastructure layers • Build and maintain Kubernetes (EKS) workloads, including deployments, scaling, and production troubleshooting • Work across a wide range of AWS services, including compute (EC2, ECS, EKS, Lambda), networking (VPCs, subnets, security groups), and event-driven systems (API Gateway, EventBridge, SQS/SNS, Step Functions) • Manage and optimise data services such as RDS (PostgreSQL) and ClickHouse • Automate infrastructure and environment setup using tools such as Packer and Ansible for AMI creation and configuration • Implement and improve observability using CloudWatch, Grafana, Prometheus, and centralized logging tools (e.g. Splunk, Datadog, ELK) • Collaborate with developers and data engineers to improve deployment workflows, system reliability, and platform usability • Apply security best practices across infrastructure, including IAM, KMS, and Secrets Manager • Support incident response, troubleshooting, and continuous improvement of production systems

• Investigate and resolve complex application incidents (fleet operations platform, driver management apps) • Perform code-level debugging, configuration changes, and minor fixes (up to 80 engineering hours) • Execute and validate deployments to production and non-production environments • Conduct RCA for escalated tickets; document findings and update KB articles in ServiceNow • Monitor CI/CD pipelines (Tier 1) and perform remediation (Tier 2) • Handle AWS serverless infrastructure issues: Lambda failures, DynamoDB anomalies, RDS connectivity • Support server and service restarts, log-level diagnostics, and environment health checks • Participate in weekend release activities (several times per year)

The Java + Basic DevOps Engineer is the primary L2 resolver for complex application incidents across the operations platform (fleet/routing) and driver management queues. This role handles issues that require code-level investigation, configuration changes, or deployment actions — escalated from L1 when KB articles are insufficient. Basic DevOps competency is required to support CI/CD pipelines, server-level operations, and AWS serverless infrastructure troubleshooting. Responsibilities · Investigate and resolve complex application incidents (fleet operations platform, driver management apps) · Perform code-level debugging, configuration changes, and minor fixes (up to 80 engineering hours) · Execute and validate deployments to production and non-production environments · Conduct RCA for escalated tickets; document findings and update KB articles in ServiceNow · Monitor CI/CD pipelines (Tier 1) and perform remediation (Tier 2) · Handle AWS serverless infrastructure issues: Lambda failures, DynamoDB anomalies, RDS connectivity · Support server and service restarts, log-level diagnostics, and environment health checks · Participate in weekend release activities (several times per year) Required Technical Skills · Java: SpringBoot, JBoss — read stack traces, identify root cause, apply fix or workaround in production · Databases: Oracle 11g, MS SQL Server — diagnostic and fix queries, stored procedures · AWS: Lambda, RDS, S3, DynamoDB, Kinesis, CloudWatch — hands-on troubleshooting · DevOps basics: GitLab CI/CD, Docker — pipeline status review, deployment execution, rollback · Observability: Datadog — log search, alert triage, service map navigation · OS: Linux — log reading, service management, basic shell scripting · ITSM: ServiceNow — ticket management, work notes, SLA-aware escalation Nice to Have · Node.js / JavaScript (back-end components) · Kubernetes basics · Android/iOS mobile app support experience About Us Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics. To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice

Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market. Job Responsibilities: Diseñar e Implementar soluciones que estarán enfocadas a innovar y optimizar las funcionalidades de los distintos procesos de la compañía, tanto Operativos como de Oficina, usando las tecnologías que conforman la Industria 4.0, (IoT, AI, Machine Learning, DataScience, Robots Autónomos, Realidad Aumentada y Virtual, Impresión 3D, Big Data, Simulación y las nuevas tecnologías que se vayan integrando) Interactuando con los sistemas Mayores tales como el ERP (SAP), Payroll, MES, interfaces y datos generados por elementos de Industria 4.0. tales como PLC, sensores, robots, maquinas en General. Cumplir los requerimientos de Auditoria SOX y otros apicables. Competencias Especificas: - Ser capaz de diseñar, programar e implementar soluciones de tecnologías de Industria 4.0 que eficienticen los procesos. - Procesos de Mantenimiento a equipos industriales y automatización de datos. EXPERIENCIA REQUERIDA Y/O FORMACIÓN ACADÉMICA ESCOLARIDAD/EDUCACIÓN: Licenciatura / Ingeniería FORMACIÓN/EXPERIENCIA: Mínima de 4 años en la Industria Automotriz en puesto similar CONOCIMIENTOS TECNICOS: - Experiencia comprobable diseñando e Implementando soluciones enfocadas a innovar y optimizar los distintos procesos de la Compañía, tanto Operativos como de Oficina, usando las tecnologías que conforman la Industria 4.0 - Conocimiento y Manejo de Tecnologías Emergentes actuales de IT-OT, Industria 4.0 (IoT, AI, Machine Learning, DataScience, Robots Autónomos, Realidad Aumentada y Virtual, Impresión 3D, Big Data, Simulación y las nuevas tecnologías que se vayan integrando, básicos de Ciberseguridad) - Experiencia en programación de PLC en controladores Siemens y Rockwell entre otros - Experiencia en programación de robots (como Fanuc, ABB, Kuka y/o Motoman) - Comprensión de lenguajes de programación informática (p. ej., JavaScript, C#, Python, C++, Java) - Experiencia con bases de datos y diferentes tipos de almacenamiento de datos - Experiencia con el protocolo MQTT - Experiencia implementando soluciones en la nube y on-premise - Experiencia en soluciones BI/Análsis de datos, Qlickview, PowerBI, Quicksight, etc. - Preferentemente conocimiento en soluciones con Machine Learning y AI IDIOMAS : Inglés Intermedio Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Regular / Permanent Group: Cosma International