The role
Learn about your responsibilities, how you will work, and who you will work with.
You will work as a DevOps engineer with multi-disciplinary teams leveraging analytics and Artificial Intelligence, both generative and more traditional, to help our clients solve complex problems, most often in the energy space.
You will work with DKL's teams and leadership to define strategic and tactical plans that are architected with the right balance between feature set, cost, scalability, security, maintainability, and tech debt in mind, recognizing that this balance can vary significantly between one project and another, or between one phase and another. You will sit on the architecture board with the other area leads (Back-end, Data Engineering, and Front-end).
First responder: You will not have on-call rotations because we do not operate mission-critical HA applications; however, you will be part of the first-responder team during work hours and, on infrequent occasions, outside of these hours.
Hands-on practitioner: You are reconciled with the fact that architecture decisions need to be taken, costed efficiently, documented, championed with the rest of the team, implemented, tested, supported, and that people will expect you to guide them through best practices. The DevOps team should be sized accordingly, but none of these tasks is above or beneath you.
Responsibilities
Assisting with stress testing, penetration testing, and disaster recovery will be part of your team's responsibilities. Your responsibilities will encompass a wide range of tasks, including but not limited to:
CI/CD
Develop and maintain CI/CD pipelines.
Automation
Automate infrastructure provisioning and management.
Performance
Monitor and optimize system performance.
Delivery
Collaborate with development teams to ensure smooth deployment and releases.
How will you work?
Based in Spain: You are legally permitted to work in Spain, and you are either already based there or planning to move there very shortly.
Fully remote: You have sufficient experience to thrive in a remote-only, Slack-heavy setting with asynchronous daily tasks and video calls over various platforms, including Meet, Zoom, Teams, Webex, and Jitsi. You have access to a reliable internet connection.
Flexible work hours: You will work an average of 40 hours a week, which you can arrange flexibly within the constraints of sufficient overlap with the rest of the team and attending meetings (some of which you will schedule yourself, some of which you won't).
Computer: You will be issued a Framework 13 to work on, which runs either Linux or FreeBSD.
Who will you work with?
You will collaborate closely with the DevOps team. You will report directly to Matías Pizarro.
Matías Pizarro
Data Architect
&
Software Architect
With 28 years in software development and 8 years as Head of Engineering at McKinsey & Company, Matias leads our technical vision. He specializes in data engineering, AI, DevOps, and team scaling, and has grown Power Solutions Tech from 2 to 200 developers in just 5 years. Matías keeps Python, Pandas, Django, FreeBSD, and Bash in his daily toolkit and is passionate about using the right tools for the job. His leadership inspires innovation and excellence across our technical teams.
What makes you a fit?
Your qualifications
Requirements
Strong command of Computing, Infrastructure, and networking first principles
You can reason around Computing, Infrastructure, and Networking first principles and use them to chart your way across and around known and unknown platforms and paradigms.
IaC applied to large-scale Enterprise environments
You have significant experience using Pulumi, OpenTofu, or Terraform to deploy resilient, modular, and secure enterprise environments such as data platforms and data ingestion pipelines.
Strong learner
You are not expected to know everything, but you are expected to learn what needs to be learned and to understand how to do it self-sufficiently, though with adequate support.
Problem solver and independent thinker
You have a strong sense of ownership of your team's work and are accountable for it. You raise your hand when you see risk, lack of alignment, or unresolved uncertainty. You uphold your duty to dissent. You are opinionated, but you can be reasoned out or into any sensible solution, and are happy to explain and debate your solutions.
Analytical perspective
You are comfortable working with multiple teams and on various projects, yet you still identify common patterns, everyday needs, and standard solutions.
B2 / C1 English
You speak top-notch English, allowing you to be comfortable working with a global team and a multinational client base spread across CET -4 and +6.
Value-delivery oriented
Diagrams and documentation are integral to your output
What's the first 6 months like?
Your first six months will be structured to support your learning, integration, and progression as you settle into your role. This period aligns with our review checkpoints at 1, 3, and 6 months, ensuring a clear pathway to success during your probation period.
What's the selection process?
We aim to make our selection process smooth, informative, and enjoyable, ensuring it's a two-way street where we get to know each other.
Initial Meet & Greet
A casual video call to introduce ourselves, discuss the role at a high level, and get to know each other's backgrounds and motivations. This call is all about seeing if we're a mutual fit.
Role-Focused Interview
A more focused discussion, diving into the role's specifics and exploring key data engineering scenarios you might encounter with us. This is where we'll go over some example cases, discuss your experience, and answer any questions you have about the day-to-day.
Meet the Team Leads
In this call, you'll meet some of our key team leads. This conversation helps you understand the company culture, our team dynamics, and the kind of cross-functional work you'll be doing. It's also a chance to talk more about the projects we're passionate about.
Decision & Offer
After the final discussion, we'll circle back with a decision. If we're a match, we'll be excited to extend an offer and welcome you aboard! If it turns out this isn't the right fit, we'll let you know as well and share our feedback, wishing you all the best in your career journey.