At Provectus, we are obsessed with technologies that impact the future of the whole of humanity. Just imagine: AI for curing eye diseases, ML for making factories safe for workers, preventing pandemic spreading, etc. It’s not about the future, it’s about the products we already develop with #ProvectusTeam.
Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.
Join us if you value a friendly corporate environment, and almost a family-driven approach to every employee.
Join us if you want to grow professionally and ready for learning new things constantly.
As a DevOps Engineer, you’ll be provided with all opportunities for development and growth.
About the project:
Determine, a Corcentric company is a global provider of industry-leading cloud solutions that help organizations gain complete visibility into their data; turn it into valuable insights, and achieve total control to make more intelligent confident business decisions. Through end-to-end source-to-pay and contract management, our next-generation tools empower you to proactively eliminate risks, cut costs and save money.
We are waiting for you to become a part of our team!
— Architect and improve Corcentric infrastructure in AWS;
— Automate the platform with infrastructure-as-code and configuration management;
— Support software development processes via CI/CD pipelines;
— Enhance system security, reliability, scalability, performance, and quality.
— 3+ years experience as a DevOps Engineer, working in AWS, GCP or Azure;
— 1+ years strong Experience in Kubernetes;
— Strong Experience with Docker methodologies and delivery;
— Strong Experience with monitoring, logging, and alerting technologies;
— Experience with infrastructure-as-code methodologies such as Terraform;
— Experience with designing, building and supporting CI/CD pipelines;
— Experience supporting production web applications on the scale;
— Exceptional skills in Linux system administration;
— Written and verbal communication in English.
Will be a plus:
— Experience implementing and scaling Elastic Kubernetes (EKS) platforms;
— Experience implementing blue/green and canary deployments.
We offer you attractive professional and educational opportunities, competitive salary, interesting projects, and fun colleagues who make every online and offline event a treat.
In some detail:
— Opportunities for education, professional development,
— Challenging projects that let you engage with the latest
— Preparation for AWS certification exams.
— Corporate English classes and Soft skills Club.
— Internal tech events, such as Demo Days and Knowledge
— Leadership and mentorship programs.
— Udemy courses and offline/online optional training for
any tech discipline.
— Minimum bureaucracy, maximum focus on results.
— Medical insurance or health club membership.
— Annual package of paid vacation (20) and sick days (5).
— Work as a contractor with a standard 5% tax and get
support with Private Entrepreneur Duties from our
— A friendly corporate environment that welcomes every
employee into the Provectus family.
— Flexible schedule, remote or office (Odesa and Kyiv) work
of your choice.
— Offline and online corporate parties — we like having fun
— Gifts for birthdays, childbirth, weddings, and other
Find out more about our company: provectus.com
Provectus is a Palo Alto-based software engineering & services company.
From the start, we have specialized in skills related to leading-edge technologies and methodologies. This is underlined by 90% of our business originating from the Silicon Valley startups and "A" round companies. We have served hundreds of customers and have consistently been engaged on the very latest trends even if we were not ourselves a classic startup.
Provectus helps companies adopt AI to transform the ways they operate, compete, and drive value. As an APN Premier Consulting Partner, we take advantage of AWS AI/ML services, including AWS Antar, enabling customers across a wide range of industries to improve quality control and reduce operational costs through intelligent anomaly detection.