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Cloud Engineer

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Cloud Engineer

Engineering Manager - Cloud-Native Backend Systems

Salve.Lab

Remote

Apply on the employer's site

Role description

Remote in EU | Long-term B2B Contract
Role Overview
We are looking for an experienced Engineering Manager to lead a team responsible for building and evolving complex, cloud-native backend systems. This is a technical leadership role for someone who combines strong people-management experience with a deep software-engineering background. You will manage and develop engineers, take ownership of team delivery and remain closely involved in architecture, technical decision-making and engineering quality.

You will not be expected to write production code every day, but you must be technically credible and comfortable reviewing designs, challenging architectural decisions, supporting engineers through complex problems and contributing hands-on when necessary. The environment includes distributed systems, microservices, containerised applications and cloud infrastructure supporting high-volume, business-critical products.

Key Responsibilities:

  • Lead, support and develop a team of software engineers
  • Take responsibility for team performance, delivery and engineering quality
  • Conduct regular one-to-one meetings, performance reviews and career-development conversations
  • Recruit, onboard and retain strong engineering talent
  • Establish clear goals, expectations and ownership within the team
  • Work closely with Product Owners to define priorities, scope and delivery plans
  • Translate product and business requirements into practical engineering outcomes
  • Remain closely involved in system design and architectural decisions
  • Guide the development of scalable microservices and distributed backend systems
  • Review technical proposals and challenge engineering decisions constructively
  • Support engineers in resolving complex technical and production issues
  • Establish and continuously improve coding, testing and code-review standards
  • Strengthen CI/CD, observability, documentation and operational practices
  • Promote system reliability, scalability, maintainability and security
  • Identify technical debt and balance platform improvements with product delivery
  • Coordinate dependencies and technical decisions across engineering teams
  • Create an environment of accountability, collaboration and continuous improvement
  • Contribute hands-on to prototypes, technical investigations or critical issues when required

Requirements:

  • At least 8 years of professional software-engineering experience
  • At least 3 years of experience leading or managing software-engineering teams
  • Proven experience with direct people management, including performance management, development and hiring
  • Strong technical background in backend software development
  • Recent technical experience with at least one backend language such as Java, Python or Go
  • Strong understanding of microservices and distributed-system architecture
  • Hands-on knowledge of AWS or Azure
  • Strong experience with Kubernetes and Docker
  • Good understanding of APIs, databases, asynchronous processing and event-driven architecture
  • Experience establishing engineering standards, code-review practices and testing strategies
  • Strong understanding of CI/CD, observability and production operations
  • Experience managing delivery in a product-led or agile engineering environment
  • Ability to balance people leadership, technical quality and delivery expectations
  • Confidence working with senior engineers, architects, Product Owners and business stakeholders
  • Strong written and spoken English (C1+)
  • Based within the European Union and able to work on a B2B contract

Nice to have:

  • Experience managing teams building AI-powered or data-intensive products
  • Experience with both AWS and Azure
  • Experience scaling an engineering team or supporting organisational growth
  • Previous experience modernising a monolith or evolving a microservices platform
  • Knowledge of Python, Java or Go ecosystems
  • Experience with Infrastructure as Code, such as Terraform or CDK
  • Experience with high-volume or business-critical production systems
  • Knowledge of Prometheus, Grafana, Datadog or distributed tracing
  • Experience working across multiple engineering teams or product areas

What's on Offer:

  • Fully remote work within the European Union
  • Long-term B2B engagement
  • Leadership of a technically strong engineering team
  • Genuine influence over architecture, engineering practices and team development
  • Work on complex, internationally used AI-enabled products
  • Collaboration with experienced engineering, product and cloud specialists
  • More than 20 days of paid time off
  • Apple equipment
  • Training and professional-development budget

Diversity and Inclusion Commitment
We are dedicated to creating and sustaining an inclusive, respectful workplace for all -regardless of gender, ethnicity, or background. We actively encourage applicants from all identities and experience levels to apply and bring your authentic self to our fast-paced, supportive team.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Portfolium (Acquired by Instructure)

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

Senior Infrastructure Engineer, AI/ML Systems

Instructure

Remotefulltime

Apply on the employer's site

Role description

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.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Cloud Engineer

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

Sii Poland

Remote

Apply on the employer's site

Role description

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

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

That is every opening in this category and country

Engineering Manager - Cloud-Native Backend SystemsSalve.Lab

Apply on the employer's site