AIOps SRE - Capgemini
Chicago, IL
About the Job
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
What You-ll Do
+ Machine Learning in IT Operations: ML algorithms, data preprocessing and feature engineering.
+ AI/ML Tools: (i.e. TensorFlow, Keras, PyTorch) for development and deployment of efficient models.
+ Incident Management: rapidly identifying, diagnosing, and resolving IT issues using automated and AI-driven tools.
+ Data Analysis and Processing: working with large datasets and applying statistical techniques to understand patterns; manipulate and analyze data in creating predictive models.
+ Integrated Observability: consolidating and analyzing data across systems to provide a holistic view of IT health and performance.
+ Performance Optimization: leveraging AI insights to fine-tune IT systems for peak operational efficiency.
+ Building and Managing AIOps Platforms: designing, implementing, and maintaining platforms that leverage AI to automate and enhance IT operations.
+ Documentation: creating clear, concise, and comprehensive guides and records for AIOps processes and configurations.
+ Programming: programming languages such as Python, Java, and others for writing AI and ML algorithms, integrating AI tools, and customizing solutions.
Minimum education qualification
+ Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.
+ Experience with web server configuration, monitoring/observability, trending, network design, high availability.
+ Skilled at enhancing SRE by leveraging AI and machine learning capabilities to automate tasks, providing predictive analytics, and ultimately improving system reliability.
+ Collecting and analyzing data on user behavior, website traffic, and server logs; providing valuable insights into trends, system bottlenecks, and potential security threats.
+ 5+ years of experience as a Site reliability, Operations, Software engineer, AI/ML Ops SRE.
+ Proficiency in AI/ML Tools (i.e. TensorFlow, Keras, PyTorch).
+ Proficiency in a scripting language.
+ Practical, solid knowledge of shell scripting and at least one higher-level language (Python or Ruby).
+ Expert level understanding of Linux servers, specifically RHEL/CentOS.
+ Comfortable configuring DNS, DHCP, and LAN/WAN technologies.
The benefits our employees enjoy:
+ 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US!)
+ Medical/Prescription/Dental/Vision Coverage!
+ Low-premium and deductible. Plan with free preventive care.
+ $12,000 in Tuition Reimbursement
+ 100% Company-paid mobile phone plan
+ Personal Time Off (PTO)- Ensuring a balance of work and home life
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
What You-ll Do
+ Machine Learning in IT Operations: ML algorithms, data preprocessing and feature engineering.
+ AI/ML Tools: (i.e. TensorFlow, Keras, PyTorch) for development and deployment of efficient models.
+ Incident Management: rapidly identifying, diagnosing, and resolving IT issues using automated and AI-driven tools.
+ Data Analysis and Processing: working with large datasets and applying statistical techniques to understand patterns; manipulate and analyze data in creating predictive models.
+ Integrated Observability: consolidating and analyzing data across systems to provide a holistic view of IT health and performance.
+ Performance Optimization: leveraging AI insights to fine-tune IT systems for peak operational efficiency.
+ Building and Managing AIOps Platforms: designing, implementing, and maintaining platforms that leverage AI to automate and enhance IT operations.
+ Documentation: creating clear, concise, and comprehensive guides and records for AIOps processes and configurations.
+ Programming: programming languages such as Python, Java, and others for writing AI and ML algorithms, integrating AI tools, and customizing solutions.
Minimum education qualification
+ Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.
+ Experience with web server configuration, monitoring/observability, trending, network design, high availability.
+ Skilled at enhancing SRE by leveraging AI and machine learning capabilities to automate tasks, providing predictive analytics, and ultimately improving system reliability.
+ Collecting and analyzing data on user behavior, website traffic, and server logs; providing valuable insights into trends, system bottlenecks, and potential security threats.
+ 5+ years of experience as a Site reliability, Operations, Software engineer, AI/ML Ops SRE.
+ Proficiency in AI/ML Tools (i.e. TensorFlow, Keras, PyTorch).
+ Proficiency in a scripting language.
+ Practical, solid knowledge of shell scripting and at least one higher-level language (Python or Ruby).
+ Expert level understanding of Linux servers, specifically RHEL/CentOS.
+ Comfortable configuring DNS, DHCP, and LAN/WAN technologies.
The benefits our employees enjoy:
+ 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US!)
+ Medical/Prescription/Dental/Vision Coverage!
+ Low-premium and deductible. Plan with free preventive care.
+ $12,000 in Tuition Reimbursement
+ 100% Company-paid mobile phone plan
+ Personal Time Off (PTO)- Ensuring a balance of work and home life
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Source : Capgemini