• Programar y desarrollar soluciones de automatización mediante PLC Siemens (STEP 7 y TIA Portal). • Configurar y desarrollar sistemas SCADA (WinCC, Intouch y otras plataformas). • Parametrizar y poner en marcha variadores de velocidad. • Integrar y configurar redes industriales como Profibus, Profinet, Ethernet Industrial y ASi. • Participar en la puesta en servicio y optimización de instalaciones industriales. • Colaborar con equipos multidisciplinares en proyectos nacionales e internacionales.

Title: DevSecOps Engineer Job#: 3040391 Employee Type: Contract Location: San Antonio, TX, US Pay Range: $85 - $85 per hour Job Description: Job#: 3040391 Job Description: We are seeking a senior DevSecOps Engineer to support application and infrastructure lifecycle management. This role requires deep Azure experience and will focus on automation, CI/CD pipeline development, and operational reliability. The position involves ensuring scalable, resilient, and efficient systems through the continuous improvement of processes and tooling. Key Responsibilities - Support application and infrastructure planning, testing, development, and deployment. - Design, build, and maintain CI/CD pipelines for efficient software delivery. - Implement and maintain automation solutions across infrastructure, deployment, and operations. - Manage on-call rotations, including incident response, root cause analysis, and remediation. - Support Power Platforms; one opening requires heavy D365 experience. - Ensure system reliability, scalability, and performance through proactive monitoring. - Collaborate with development, infrastructure, and security teams to drive best practices. Required Qualifications Experience: - 3-5+ years in DevOps, SRE, or infrastructure engineering roles. - Deep experience with Azure. - Previous experience supporting Power Platforms. - Experience with automation, scripting, and CI/CD tools. - Familiarity with incident management and monitoring tools. Certifications: - Relevant certifications are required (e.g., CDP, CDE, ADSP/ADSOP, CAISP). Preferred Qualifications - Experience with Infrastructure as Code (IaC) tools. - Exposure to containerization and orchestration. - Knowledge of ITIL processes or formal incident management frameworks. - Experience in the oil and gas industry. - Experience supporting enterprise-scale applications and environments. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

• Lead automation strategies within the team • Mentor junior and mid-level QAs • Ensure automated tests are scalable and easy to maintain • Establish quality best practices

Role Description We are seeking a highly skilled Machine Learning Engineer who specializes in leveraging Large Language Models (LLMs) for automated evaluation and quality assessment. In this role, you will design and build systems that automatically measure and improve the accuracy, relevance, and consistency of model outputs. You will lead initiatives to create evaluation pipelines, develop metrics, and deliver actionable insights for continuous improvements. This position requires strong technical expertise, analytical problem-solving abilities, and the capacity to manage projects across multiple cross-functional teams. - Design and implement automated systems and pipelines for evaluating LLM outputs. - Develop metrics and KPIs to measure output quality, accuracy, and consistency using LLM-based evaluations. - Collaborate with Engineering teams to create automated logic checks and validation tools. - Partner with Data Scientists to analyze evaluation results and optimize prompt and task structures. - Provide feedback loops to ensure evaluation guidelines align with LLM-based assessments. - Investigate how LLM-derived evaluations can enhance product reliability and user experience. - Recommend refinements to prompt engineering, evaluation strategies, and automation tools. - Stay informed on emerging trends in LLM evaluation, automated quality assessment, and AI toolchains. - Continuously improve and expand automated evaluation processes based on industry best practices. Qualifications - 5+ years of experience in ML engineering, NLP, or AI/ML automation. - Hands-on experience in prompt engineering and designing LLM-based evaluation systems is preferred. - Strong understanding of machine learning principles with focus on NLP and advanced LLM capabilities (e.g., Chain-of-Thought, agentic workflows). - Expertise in building automated evaluation or QA pipelines. - Excellent analytical and problem-solving skills with experience in root cause and error pattern analysis. - Proven project management and cross-functional collaboration experience. - Excellent communication skills to convey complex insights to technical and non-technical audiences. - Detail-oriented mindset with a focus on evaluation metrics, prompt design, and automation. - Ability to quickly adapt to new business rules and evaluation guidelines across diverse product domains. - Strong programming skills in Python and SQL. - Experience with big data technologies like PySpark for data aggregation and sampling is a strong plus. - Bachelor's/Master's degree in Computer Science/Engineering or a related field. Benefits - Opportunity to work on cutting-edge projects. - Work with a highly motivated and dedicated team. - Competitive salary. - Flexible schedule. - Benefits package - medical insurance, vision, dental, etc. - Corporate social events. - Professional development opportunities. - Well-equipped office.