Cloud Intelligent Automation Engineer II

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About Kirkland & Ellis

At Kirkland & Ellis, we are united in our ambition and drive to move forward. We share core values that help us achieve excellence: collaboration, talent empowerment, service, inclusion, respect and gratitude. Our people are our greatest asset, and we invest in the brightest talent and encourage a diversity of perspectives and strengths to create dynamic teams that operate at the pinnacle of their field. Our talented professionals show up every day knowing they will engage in meaningful work, continuous learning and professional development. As one of the world's leading law firms, we serve a broad range of clients with market-leading practices in private equity, M&A and other complex corporate transactions; investment fund formation and alternative asset management; restructurings; high-stakes commercial and intellectual property litigation; and government, regulatory and internal investigations. We handle the most complicated and sophisticated legal matters because we don't just meet industry standards, we create them. We bring innovation and entrepreneurialism to every engagement and, as a result, have long-standing client relationships with leading global corporations and financial sponsors. With 6,500 employees (including 3,500 lawyers) operating from 20 offices across the United States, Europe, the Middle East and Asia, we are one of the largest law firms in the world and a top financial performer.

Essential Job Functions

The Cloud Intelligent Automation (IA) Engineer II is responsible for developing, optimizing, and maintaining cloud-based automation workflows to improve operational efficiency and support innovation initiatives. This technical role requires expertise in robotic process automation, scripting, and an understanding of data science and advanced computing technologies.

ESSENTIAL FUNCTIONS (This list is not exhaustive and may be supplemented and changed as necessary.)

• Architect, design, develop, and maintain automation solutions, ensuring their reliability, scalability, and optimal performance.
• Collaborate with cross-functional teams, including business analysts and data scientists, to understand requirements and provide technical expertise in the implementation of automation solutions.
• Contribute to the ideation and prototyping of innovative applications, enhancing the team's capabilities in automation.
• Monitor and troubleshoot automation processes, making necessary adjustments and enhancements to meet business objectives.
• Provide technical support and training to end-users, ensuring effective adoption and proficient use of automation tools.
• Participate in the continuous improvement of automation standards, best practices, and documentation, as well as conduct code reviews for junior developers to ensure code quality and adherence to standards.

Qualifications & Requirements

Education, Work Experience, Skills

• Minimum of 3 years of experience in cloud automation, with proficiency in RPA tools such as Automation Anywhere, Blue Prism, UiPath, and Microsoft Power Automate, as well as scripting languages.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills, with the ability to work effectively in a team environment.
• Self-motivated and proactive, with a strong desire to learn and grow professionally.
• Familiarity with data engineering, generative AI, and natural language processing.
• Experienced with cloud platforms such as AWS, Azure, or Google Cloud Platform.

How to Apply

Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."

Equal Employment Opportunity

All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.

Closing Statement

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