Senior Aqa Engineer Irc275899

Description Join GlobalLogic to be a valid part of the team working on a huge software project for the world-class company providing M2M IoT 4G 5G modules e g to the automotive healthcare and logistics industries Through our engagement we contribute to our customer in developing the end-user modules firmware implementing new features maintaining compatibility with the newest telecommunication and industry standards as well as performing analysis and estimations of the customer requirements Requirements Apply machine learning algorithms to existing operational data logs metrics events to predict system failures and proactively address potential incidents Implement automation for routine DevOps practices including automated scaling resource optimization and controlled restarts Develop and maintain self-healing systems to reduce manual intervention and enhance system reliability Build anomaly detection models to quickly identify and address unusual operational patterns Collaborate closely with SREs developers and infrastructure teams to continuously enhance the operational stability and performance of the system Provide insights and improvements through visualizations and reports leveraging AI-driven analytics Create a phased roadmap to incrementally enhance operational capabilities and align with strategic business goals Required Skills and Qualifications Strong experience with AI ML frameworks and tools e g TensorFlow PyTorch scikit-learn Proficiency in data processing and analytics tools e g Splunk Prometheus Grafana ELK stack Solid background in scripting and automation Python Bash Ansible etc Experience with cloud environments and infrastructure automation Proven track record in implementing proactive monitoring anomaly detection and self-healing techniques Excellent analytical problem-solving and strategic planning skills Strong communication skills and the ability to effectively collaborate across teams Preferred Experience Background in DevOps Site Reliability Engineering Familiarity with containerization and orchestration platforms Kubernetes Docker Experience in building scalable distributed systems Job responsibilities Apply machine learning algorithms to existing operational data logs metrics events to predict system failures and proactively address potential incidents Implement automation for routine DevOps practices including automated scaling resource optimization and controlled restarts Develop and maintain self-healing systems to reduce manual intervention and enhance system reliability Build anomaly detection models to quickly identify and address unusual operational patterns Collaborate closely with SREs developers and infrastructure teams to continuously enhance the operational stability and performance of the system Provide insights and improvements through visualizations and reports leveraging AI-driven analytics Create a phased roadmap to incrementally enhance operational capabilities and align with strategic business goals Required Skills and Qualifications Strong experience with AI ML frameworks and tools e g TensorFlow PyTorch scikit-learn Proficiency in data processing and analytics tools e g Splunk Prometheus Grafana ELK stack Solid background in scripting and automation Python Bash Ansible etc Experience with cloud environments and infrastructure automation Proven track record in implementing proactive monitoring anomaly detection and self-healing techniques Excellent analytical problem-solving and strategic planning skills Strong communication skills and the ability to effectively collaborate across teams Preferred Experience Background in DevOps Site Reliability Engineering Familiarity with containerization and orchestration platforms Kubernetes Docker Experience in building scalable distributed systems What we offer Culture of caring At GlobalLogic we prioritize a culture of caring Across every region and department at every level we consistently put people first From day one you ll experience an inclusive culture of acceptance and belonging where you ll have the chance to build meaningful connections with collaborative teammates supportive managers and compassionate leaders Learning and development We are committed to your continuous learning and development You ll learn and grow daily in an environment with many opportunities to try new things sharpen your skills and advance your career at GlobalLogic With our Career Navigator tool as just one example GlobalLogic offers a rich array of programs training curricula and hands-on opportunities to grow personally and professionally Interesting meaningful work GlobalLogic is known for engineering impact for and with clients around the world As part of our team you ll have the chance to work on projects that matter Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what s possible and bring new solutions to market In the process you ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today Balance and flexibility We believe in the importance of balance and flexibility With many functional career areas roles and work arrangements you can explore ways of achieving the perfect balance between your work and life Your life extends beyond the office and we always do our best to help you integrate and balance the best of work and life having fun along the way High-trust organization We are a high-trust organization where integrity is key By joining GlobalLogic you re placing your trust in a safe reliable and ethical global company Integrity and trust are a cornerstone of our value proposition to our employees and clients You will find truthfulness candor and integrity in everything we do About GlobalLogic GlobalLogic a Hitachi Group Company is a trusted digital engineering partner to the world s largest and most forward-thinking companies Since 2000 we ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products platforms and services