23 may
|
Caylent
|
Olavarría
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py39h
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS).
We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
At Caylent, our people always come first.
We are a integral company and operate fully remote with employees in Canada, the United States, and Latin America.
We celebrate the culture of each of our team members and foster a community of technological curiosity.
Come talk to us to learn more about what it means to be a Caylien!
The Mission
We are seeking an Engineering Manager for our Cloud Data Engineering Practice.
The right candidate is someone who is technically strong, can manage a team of Architects and Engineers, oversee data delivery engagements and is passionate about working with our customers, partners and employees to drive the business forward.
Your Assignment
Manage a team of 5 - 8 cloud engineers and architects
Interface with clients and internal teams to propose technical improvements using your cloud and engineering knowledge
Take on hands-on technical responsibilities, including technical tasks in sprints
Lead technical discussions with customers
Handle code reviews and pull request management
Manage task assignments within sprints
Perform technical leadership activities like roadmap and vision checks, best practices implementation, and risk identification
In-project mentoring (understand people on project & creation of growth opportunities)
and sharing feedback for team members on the project
Technical accountability on the delivery
Kickoff new client engagements and act as a point of technical escalation
Develop and review proposals and contracts and present these to clients
Perform technical interviews for Architect and Engineer candidates
Perform weekly 1:1s with your direct reports and guide their career development
Your Qualifications
Strong experience in AWS data landscape
Expertise in at least two major areas of Cloud Data Engineering:
Relational database design, optimization and migration
Big data processing using Spark, Hadoop, EMR etc
Machine Learning and MLOps
Advanced analytics using time series forecasting, descriptive and inferential statistics
BI dashboards and visualizations
Data Governance and MDM
Experience with most of these:
Infrastructure as Code tools
CI/CD pipelines
Application modernization and migration with a strong focus on databases
Excellent written and verbal communication skills
Pay in USD
Generous holidays and flexible PTO
Paid for exams and certifications
Peer bonus awards
State of the art laptop and tools
Equipment & Office Stipend
Annual stipend for Learning and Development
Caylent is a place where everyone belongs.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.
So, regardless of how your diversity expresses itself, you can find a home here at Caylent.
We are proud to be an equal opportunity employer.
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.
If you would like to request an accommodation due to a disability, please contact us at ******.
NOTE: We're unable to provide visa sponsorship now or at any time in the future.
At Caylent, we are committed to fair, transparent, and inclusive hiring practices.
As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements.
These tools are designed to support — not replace — human decision-making.
Final hiring decisions are always made by our trained recruitment professionals.
If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.
If you have any questions, please contact ******.
#J-*****-Ljbffr
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/py39h
📌 Engineering Manager - Data (Olavarría)
🏢 Caylent
📍 Olavarría