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Cloud Engineer

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Cloud Engineer

Cloud Engineer

Sisal

Sofiaother

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Описание вакансии

Job title:
Cloud Engineer

Location:
Sofia

Overview of the role:
Flutter Technology are recruiting a cloud engineer to drive the implementation, automation, and operation of our AWS cloud platform. The platform will underpin the global services consumed by the groups well-known betting brands.

This is a fantastic opportunity to shape the technology choices across Flutter‘s cloud hosting platforms, working with all brands across the group to migrate and modernise their services, deliver technology to meet their needs, and promote knowledge sharing across the engineering community. The role will contribute to the evaluation and selection of AWS services, code and configuration management tooling and the variety of components required to achieve our group strategic objectives.

You must be effective at articulating technology requirements, promoting cloud enablement, migrations and the methodologies required to reduce risk and achieve desired outcomes. You should be comfortable working with cross functional global teams in dynamic organisations, as the role will have interdependencies with teams in AWS, our partners, and our own engineering teams across various functions in various brands.

This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern offices. These discussions are between you and your manager to find the best pattern for you both, while recognising that quality time together is essential for keeping us mission-aligned.
Our teams work from a lively location nestled within this historic city. Enjoy the best of both worlds with winter and summer offices, tantalizing free snacks and a gaming paradise for endless entertainment.
What you’ll do:
Key Accountabilities & Responsibilities:

  • Build and operate a secure, performant, and cost-effective AWS Cloud Platform.
  • Automate system deployment and operations using Infrastructure as Code and configuration management tooling.
  • Maintain source code and artefact repositories.
  • Write and review platform code, offering constructive feedback to ensure code quality.
  • Enable and support engineering teams with the adoption of cloud services.
  • Triage incidents, problems, and risks impacting Flutter cloud services.
  • Write and maintain appropriate technical documentation.
  • Define, document, support, and approve LLDs for Flutter cloud services.
  • Support cloud architecture and function leads with developing the cloud technology roadmap and strategy.
  • Act as a trusted SME offering advice and knowledge sharing to the broader technology team and internal customers.
  • Create and drive adoption of standard operating procedures, policies, and runbooks.
  • Facilitate the development and communication of Flutter Group standards for design, development, and deployment.
  • Liaise with other group functions, building and maintaining relationships, and recognising opportunities for strategic collaboration.
  • Liaise with Third Party vendors and partners.
  • Be part of an on-call rota.

What you’ll bring:
The right candidate will have experience working with enterprise organisations on large scale migration/modernisation transformation projects. This will have involved a customer-obsessed and collaborative approach, coupled with a strong technical understanding to provide confidence and answer questions, an ability to engage and help crystallise business benefits of migrations, demonstrate an excellent technical understanding of cloud solutions, and a passion for helping to transform using cloud technologies.

Skills, Capabilities & Experience Required:

  • Building Support: We establish close relationships with our stakeholders, underpinned by trust, integrity, and respect. We are able to build awareness, understanding, and positive momentum behind the group technology strategy, often without being in a position to assert authority.
  • Objective: We are impartial and unbiased, ensuring equal treatment for all and that decisions are based on objective criteria.
  • Collaborative: We work effectively and in partnership with our stakeholders on shared goals that align towards the achievement of the group strategy. We foster a collaborative environment and assume the role of leader when required.
  • Adaptable: We understand and appreciate different and opposing perspectives on an issue and are able to adapt our approach in order to achieve a successful outcome.
  • Strategic Thinking: We think about the big picture and use that perspective to support our divisions to achieve competitive advantage through greater agility, faster time to market and a better customer experience.
  • Strategic Communication: We are proactive and considered in our approach to stakeholder communications. We actively listen, provide constructive feedback and help others to consider new perspectives.
  • Building and operating Infrastructure and Cloud platforms, ideally within highly available AWS environments.
  • Strong network knowledge in the TCP/IP stack, Firewalls and AWS cloud Networking Services (AWS CloudWAN, DNS, AWS Network Firewalls).
  • Relocating, rehosting, refactoring and rearchitecting services into AWS.
  • Working with source control management (Git, GitHub) and CI/CD Pipelines.
  • Managing deployment assets such as AMIs, container images and artefacts.
  • Managing Infrastructure as code using CDK, Terraform, CloudFormation.
  • Orchestration and management of container platforms, preferably using Kubernetes.
  • Delivering systems in security compliant environments
  • Writing and maintaining technical documentation.
  • Sharing knowledge with your peers and across the wider engineering community.
  • Working in an agile environment.
  • Incident, change, problem, and risk management.
  • Bonus points for previous software engineering experience, coding, and automation.

It’s ok if you don’t think you tick every box on this list. We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply.

Why choose us:
Aside from a generous base salary, we have a fantastic benefits & rewards program that is designed to encourage personal and career development.

  • Discretionary annual bonus
  • 30 days paid leave
  • Health and Dental Insurance for you, your partner, and your children (if you all live at the same address)
  • Personal life insurance and disability coverage
  • Wellbeing fund
  • Continuous learning support for certifications and career growth
  • 550 EUR gift for a newborn family member
  • 26 weeks Maternity leave at 100% pay and 4 week secondary (Paternity) also at 100% pay, no eligibility period applies
  • A sports card membership valid across the country
  • Discounts as a compliment from us among different services
  • Monthly food vouchers

Equal opportunities:
At Flutter International we are committed to creating an inclusive environment where our people can be their authentic selves and thrive. We embrace and celebrate diversity, respecting all our uniqueness and differences.

We invite you to inform us if you have any accessibility requirements. Simply send an email to talent@flutterint.com. Our goal is to make sure you have what’s necessary to thrive with us.

Learn more about the work we are doing on Inclusion and Belonging here: https://careers.flutterinternational.com/working\-at\-flutter\-international/diversity\-equity\-inclusion/

The group:
Flutter Functions is a proud member of the Flutter Entertainment family, a global leader in sports betting, iGaming, and entertainment. We are listed on the FTSE 100 index and the New York Stock Exchange (NYSE). Our world-class brands and innovative products set us apart. Our International division operates in over 100 global markets. It offers sports betting, casino, poker, rummy, and lottery, mainly online. We are committed to delivering gaming and entertainment responsibly and sustainably. Our team of over 8,000 colleagues supports this vision across 28 offices worldwide.

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Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Portfolium (Acquired by Instructure)

Удалённоfulltime

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Описание вакансии

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Instructure

Удалённоfulltime

Откликнуться на сайте работодателя

Описание вакансии

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

This is a hands-on delivery role. You'll build the deployment path that takes models and AI services from prototype to production, and you'll keep them running once they're there. You'll be one of two engineers who own infrastructure for this team, which means wide scope, real ownership, and direct influence over how we build.

You'll work closely with data scientists, applied AI engineers, and product partners to turn advanced AI ideas into reliable product capabilities used at scale.

What You'll Do

  • Build and operate deployment pipelines for AI services, covering CI/CD, infrastructure-as-code, environment promotion, and rollback
  • Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production
  • Partner with data scientists and applied AI engineers to take prototypes into production, including system design for net-new services
  • Own production reliability for AI services: monitoring, alerting, debugging, performance, and cost
  • Spot repeated patterns and turn them into reusable templates, so the team can ship its second and third variant of something without rebuilding it

What You'll Need

  • Six or more years in infrastructure, DevOps, platform, or ML engineering, with ownership of systems running in production
  • Deep hands-on experience across a wide range of AWS services, including compute, networking, storage, deployment, and monitoring
  • Infrastructure-as-code experience (Terraform, CDK, or CloudFormation)
  • Experience with containers and modern deployment patterns (Docker required, Kubernetes or ECS/EKS a plus), applied to CI/CD pipelines you've designed and operated for production services
  • Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
  • Comfort working through ambiguity and collaborating directly with data scientists and researchers

It Would Be a Bonus If You Had

  • Experience with ML platform components and data pipeline orchestration at scale
  • Experience running LLM-based or retrieval-based systems in production
  • Experience operating specialized data stores, including graph databases
  • Experience building internal tooling, templates, or reference implementations that other engineers adopted

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Cloud Engineer

Senior DevOps Engineer with Golang (f/m/x)

Sii Poland

Удалённо

Откликнуться на сайте работодателя

Описание вакансии

We are looking for a skilled Senior DevOps Engineer to join a project focused on enhancing and modernizing client's cloud platform. This role offers the flexibility of remote work, allowing you to contribute to significant improvements in cloud infrastructure and automation processes. If you are passionate about cloud technologies and automation, this opportunity may be the right fit for you.

Your tasks

  • Building and maintaining platform integrations and automation workflows
  • Developing solutions using Go/Golang to enhance cloud operations
  • Implementing Infrastructure as Code using Terraform
  • Integrating cloud APIs for VMware, Azure, and AWS platforms
  • Creating and managing CI/CD pipelines to streamline deployments
  • Utilizing PowerShell and Bash scripting for automation
  • Managing Kubernetes and container platforms for efficient application deployment
  • Applying configuration management tools like Ansible to maintain system integrity

Requirements

  • Minimum 5 years of experience in DevOps or cloud engineering
  • Hands-on mastery of Go/Golang development
  • Experience with VMware and cloud API integrations
  • Knowledge of AWS or Azure services
  • Advanced level of English

Nice to have

  • Practical experience in Azure and/or AWS platform engineering
  • Familiarity with Ansible or similar configuration management tools
  • Strong command of Terraform and Infrastructure as Code principles
  • Familiarity with CI/CD platforms and automation pipelines
  • Experience with Kubernetes and container orchestration

Job no. JOB-R8PYA

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You

  • Great Place to Work
  • Solid financial situation
  • Contracts with the biggest brands
  • Centre of internal trainings
  • Many experts you can learn from
  • Open and accessible management team
  • Profit sharing
  • Passion Sponsorship program
  • Regular integration events and trips
  • Comfortable and well-equipped offices
  • MySii app
  • Medical care

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Cloud Engineer — Sisal | mentors.coach