The future of industrial operations, from electric car manufacturing
to renewable energy generation and anything in between, will be
incredibly connected, transparent, intelligent and autonomous as
companies try to produce more, quicker, at lower costs and better
quality.
At the heart of this transformation, also known as
Industry 4.0, is the data generated by billions of industrial sensors
and IoT devices. This data flows from machine to machine allowing them
to communicate in real-time, is used to tell us about machine and
process performance and ultimately feeds artificial intelligent models
that unlock operational secrets related to trends and anomalies and let
us automate repetitive tasks.
Smartia is leading the charge in artificial intelligence solutions for industry.
We
are building MAIO, an AI and data framework that is all about
collecting industrial data from various assets and then unleashing the
necessary analytics, artificial intelligence, machine learning or
cognitive work to predict equipment failures, streamline production
processes and uncover the hidden trends in production processes.
MAIO
is the digital backbone that connects machines, people and artificial
intelligence to help gain transparency and predictability of industrial
operations.
The Smartians
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We
are a creative and ambitious bunch of engineers, hackers and
entrepreneurs who love building awesome technology that can make a
difference. Our skills range from robotics and AI to industrial
manufacturing and software engineering and have worked for some of the
largest organisations in these fields including Google, Airbus,
Rolls-Royce, Morgan Stanley and Ansys just to mention a few.
We
have one clear vision and we are using all the tricks in the book to get
there; we are highly collaborative, abuse the whiteboards, ask a lot of
questions and we are continuously trying to simplify and clarify the
steps needed to achieve our goals. We like to properly plan before
executing, we create engineering design documents, architecture models,
we prototype and only begin implementing once we reach consensus. We
embrace change, we adapt as we walk the path and we strive to grow the
team by hiring better, smarter people than us. We enjoy good, as well as
bad jokes.
Requirements
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We have a
wide tech stack which starts with moving data out of the factory using a
gateway installed in the client’s premises, we then persist the data in
a data lake and move it through various queues into specialized
databases which make it easily accessible. A backend makes the data
available to either a frontend where it can be explored by the user or
to artificial intelligence services which train various machine learning
models. We already use automated scripts to do cloud or on-premise
deployments of the stack.
You would be our first dedicated
DevOps, owning this space. You already have solid experience as a
sysadmin, deploying virtualization, you have hand-on experience in
network and storage, would be comfortable coding, would understand
automation tools, would be opinionated about security and would carry
extensive knowledge about testing. You would refine the deployment
scripts that we have, add monitoring and alerting to our services, you
would mature the CI/CD pipeline, would help with solutions to networking
issues we face when deploying on various client networks.
Interesting
technologies that we either use or we like a lot (in no specific
order): Ansible, Vagrant, Proxmox, NiFi, MQTT, OPC-UA, Apache Hadoop,
Apache Kafka, Apache Druid, Kdb+ PostgreSQL, Git, Python, Django, Rust,
Protocol Buffers, REST, RPC, React, GraphQL, AWS, Azure, GCP,
Kubernetes, Docker.
Benefits
------------
- Competitive salary
-
Flexible working hours and working from home on agreed days - because
we really believe in work-life balance and we want you to be happy
- Training and development programs
- Family healthcare cover
- Pension scheme
- Company profit-sharing scheme