We are seeking a Lead Data DevOps Engineer to enhance our data infrastructure and optimize development processes. In this role, you will leverage your expertise to improve workflows and refine deployment systems. If you are passionate about designing efficient solutions and enjoy working in a collaborative environment, we invite you to join our team.

Responsibilities Design and maintain data pipelines to ensure smooth and effective data flow

Implement automation solutions to enhance deployment processes

Collaborate with data scientists to increase data accessibility and usability

Monitor data systems to identify and resolve performance challenges

Develop and update documentation for workflows and operational procedures

Ensure compliance with industry standards for data security and regulatory requirements

Conduct regular evaluations of data systems to ensure reliability and quality

Participate in team discussions to share progress and contribute to project goals

Provide guidance and support to team members on the use of data tools and methodologies Requirements Minimum 5 years of experience in Data DevOps or a related discipline

Proficiency in data pipeline tools such as Apache Kafka, containerization technologies like Docker, and cloud services

Demonstrated experience working on cross-functional teams and collaborative projects

Strong problem-solving abilities in technical and complex environments

Effective communication skills to encourage teamwork and knowledge sharing

Advanced English proficiency (B2 level or higher) for documentation and collaboration Nice to have Familiarity with monitoring tools like Prometheus for tracking system performance

Knowledge of data visualization platforms such as Tableau

Familiarity with Agile methodologies for managing projects

Ability to perform well in fast-paced and high-pressure environments

Strong interpersonal skills to foster collaboration and teamwork We offer Career plan and real growth opportunities





Unlimited access to LinkedIn learning solutions

Constant training, mentoring, online corporate courses, eLearning and more

English classes with a certified teacher

Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)

Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)

Adaptable work schedule and dress code

Collaborate in a multicultural environment and share best practices from around the globe

Hired directly by EPAM & 100% under payroll

Law benefits (IMSS, INFONAVIT, 25% vacation bonus)

Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)

13 % employee savings fund, capped to the law limit

Grocery coupons

30 days December bonus

Employee Stock Purchase Plan

12 vacations days

Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)

Monthly non-taxable amount for the electricity and internet bills EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

📌 Lead Data DevOps Engineer (México)
🏢 Epam Systems
📍 México