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Client
Our Client is one of the leading reinsurance service providers across the globe. Their technological platform is constantly evolving as they apply new and emerging technologies to their expanding business.
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Position overview
Position overview
This is a hybrid role within the Platform Operations and Engineering Practice. There will be a steady stream of work from focusing on Platform consolidation and hardening across multiple systems. The nature of the work on Engineering team will be focused on the DevOps/DevEx side of the platforms and technologies we use: producing GitHub Actions, implementing reference implementations, pairing with Software Engineers on automating away some of the more manual steps that developers undertake.
The candidate should possess excellent communication (both written and verbal) and collaboration skills and able to effectively prioritize across a number of focus areas. The candidate must be eager to learn about new technologies and platforms as we onboard these.
This vacancy is open for hiring in Dublin, Ireland.
Technology stack
Core:
* AWS (Primarily serverless technology & IAM)
* Python
* GitHub Actions
* Linux
* Vault
* Datadog or similar
* Docker
* Airflow / Astronomer
* SSL/HTTPSAs Many As Possible Of:
* JavaScript
* SQL
* Jupyterlab
Responsibilities
* Automate development processes and streamline CI/CD pipelines using GitHub Actions
* Collaborate with engineering teams to support platform consolidation and system hardening
* Manage and optimize AWS serverless infrastructure
* Monitor application performance with tools like Datadog and Vault
* Troubleshoot and resolve platform issues
* Integrate new technologies into the platform
* Ensure secure coding practices and maintain system compliance
Requirements
* Secure coding practices
* Application performance analysis
* Networking (TCP/IP Layer 5 and higher)
* Strong written and verbal communication
* Excellent troubleshooting abilities
* Strong interpersonal & collaboration skills, with the ability to adapt working styles
* Ability to work autonomously, prioritize tasks, and balance multiple responsibilities
* Skilled in evaluating options and finding optimal solutions for technical and process-related problems, considering various factors and constraints
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We offer
Vacation
As per the laws of your country. We do ask you to take a proper rest
Health insurance
We help you to take out an insurance policy for you and your loved ones
Sick pay
According to the official calendar, regardless of the client’s schedule
Pleasant environment
Two large corporate parties and many small get-togethers for colleagues
Comfort service
Solving technical and everyday problems at work
The benefits package may vary depending on the region and the type of contract
What if I can’t find it?
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FAQ for Candidates
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What's the work-life balance like at DataArt? Does DataArt offer remote work options?
DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.
At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.
What is the typical career path at DataArt?
There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.
What can I expect in terms of compensation and benefits at DataArt?
DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.
How does DataArt approach employee retention and turnover?
At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.
What is the interview process like, and how can I prepare?
Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.
Read more and get tips for each stage here .
What skills and experience does DataArt look for in candidates?
DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.
How does DataArt support learning and professional development?
At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.
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