Automat-IT — вакансии
- Outsource
- 101-250
- 2012
- Львів, Prague, Berlin, Tel Aviv, Madrid, London
- Cloud technologies, FinTech, Insurance, SaaS
Актуальные вакансии компании
- AWS
- EC2
- ECS
- EKS
- AWS Lambda
- ELB
- AWS RDS
- DynamoDB
- Amazon EFS
- Amazon S3
- IAM
- AWS CloudTrail
- AWS Config
- VPC
- Route53
- CloudFront
- CloudWatch
- Kubernetes
- Terraform
- Git
- SDLC
Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We are looking for a Solutions Architect to join our team and help customers succeed with AWS. In this role, you will conduct Well-Architected Reviews and define remediation projects with clear scope and estimations, support customers in publishing their solutions on the AWS Marketplace, and work closely with both existing and prospective clients. This position requires combining technical expertise with strong consulting skills to deliver practical solutions aligned with AWS best practices.
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
- Conduct AWS Well-Architected Reviews and provide clear, actionable recommendations.
- Define the scope and estimations for remediation projects based on review findings.
- Support customers in publishing and managing their solutions on AWS Marketplace.
- Support the DevOps team's efforts in implementing designed solutions.
- Design and present cloud architecture solutions aligned with AWS best practices.
- Act as a trusted advisor, building long-term relationships with customers and internal stakeholders.
Requirements
- 3+ years of hands-on experience in an AWS environment, including implementation, migration, and maintenance, designing solutions end-to-end
- Experience in conducting meetings with customers as a Solution Architect/DevOps Team Leader
- Excellent written and verbal communication skills in English
- In-depth knowledge of core AWS services (EC2, ECS, EKS, Lambda, ELB, RDS, DynamoDB, EFS, S3, IAM, CloudTrail, Config, VPC, Route53, CloudFront, CloudWatch, AWS Organizations), with a strong focus on Kubernetes and container-based architectures
- Experience with Infrastructure as code (i.e. Terraform, CloudFormation, etc.)
- Experience with Version Control systems (i.e. Git or similar)
- Understanding of SDLC
- Be an innovative teammate who is excited to learn new tools, systems, and best practices
- AWS
- AWS Glue
- Amazon Redshift
- Amazon S3
- AWS Kinesis
- OpenSearch
- Amazon QuickSight
- Tableau
- Microsoft Power BI
- Athena
- ETL
- ELT
- Apache Spark
- PySpark
- Terraform
- AWS SageMaker
- Amazon Bedrock
- Python
Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results.
We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.
We’re looking for a Data Engineering Team Lead to build and scale our Data & Analytics capability while delivering modern, production-grade data platforms for customers on AWS. You’ll lead a team of Data Engineers, own delivery quality and timelines, and remain hands-on across architecture, pipelines, and analytics so the team ships fast, safely, and cost-effectively.
Responsibilities
- Manage, coach, and grow a team of Data Engineers through 1:1s, goal setting, feedback, and career development.
- Own end-to-end delivery outcomes (scope, timelines, quality) across multiple projects; unblock the team and ensure on-time, high-quality releases.
- Lead customer-facing workshops, discovery sessions, and proof-of-concepts, serving as the primary technical point of contact to translate requirements into clear roadmaps, estimates, and trade-offs in plain language.
- Support solution proposals, estimates, and statements of work; contribute to thought leadership and reusable accelerators.
- Collaborate closely with adjacent teams (MLOps, DevOps, Data Science, Application Engineering) to ship integrated solutions.
- Design, develop, and deploy AWS-based data and analytics solutions to meet customer requirements. Ensure architectures are highly available, scalable, and cost-efficient.
- Develop dashboards and analytics reports using Amazon QuickSight or equivalent BI tools.
- Migrate and modernize existing data workflows to AWS. Re-architect legacy ETL pipelines to AWS Glue and move on-premises data systems to Amazon OpenSearch/Redshift for improved scalability and insights.
- Build and manage multi-modal data lakes and data warehouses for analytics and AI. Integrate structured and unstructured data on AWS (e.g. S3, Redshift) to enable advanced analytics and generative AI model training using tools like SageMaker.
Requirements
- Proven leadership experience with a track record of managing and developing technical teams.
- Production experience with AWS cloud and data services, including building solutions at scale with tools like AWS Glue, Amazon Redshift, Amazon S3, Amazon Kinesis, Amazon OpenSearch Service, etc.
- Skilled in AWS analytics and dashboards tools – hands-on expertise with services such as Amazon QuickSight or other BI tools (Tableau, Power BI) and Amazon Athena.
- Experience with ETL pipelines – ability to build ETL/ELT workflows (using AWS Glue, Spark, Python, SQL).
- Experience with data warehousing and data lakes - ability to design and optimize data lakes (on S3), Amazon Redshift for data warehousing, and Amazon OpenSearch for log/search analytics.
- Proficiency in programming (Python/PySpark) and SQL skills for data processing and analysis.
- Understanding of cloud security and data governance best practices (encryption, IAM, data privacy).
- Excellent communication and customer-facing skills with an ability to explain complex data concepts in clear terms. Comfortable working directly with clients and guiding technical discussions.
- Fluent written and verbal communication skills in English.
- Proven ability to lead end-to-end technical engagements and work effectively in fast-paced, Agile environments.
- AWS certification – AWS certifications, especially in Data Analytics or Machine Learning are a plus.
- DevOps/MLOps knowledge – experience with Infrastructure as Code (Terraform), CI/CD pipelines, containerization, and AWS AI/ML services (SageMaker, Bedrock) is a plus.
- Docker
- Kubernetes
- Terraform
- AWS CloudFormation
- Jenkins
- GitHub Actions
- Git
- Bash
- KSH
- Python
- Ansible
- Linux
- DNS
- HTTP
- SSL
- TCP/IP
- SDLC
- AWS
Automat-it is an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.
Automat-it operates in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.
We’re looking for a Senior DevOps Engineer to join our team
Responsibilities
- Develop CI/CD pipelines for projects of various scales and tech stacks
- Automate AWS (and optionally GCP or Azure) resources and infrastructure provisioning
- Maintain infrastructures and environments of all types from dev to production
- Maintain Kubernetes clusters
- Security monitoring and administration
Requirements
- 5+ years of working experience in a DevOps role with AWS infrastructures
- Experience with Docker containers, Kubernetes, and Infrastructure as code (Terraform, CloudFormation, etc.)
- CI experience (Jenkins, GitHub Actions, etc.)
- Experience with version control systems (Git or similar)
- Scripting skills with either Bash, KSH, Python
- Configuration Management experience (Ansible, etc.)
- Deep Linux OS knowledge
- Network troubleshooting and configuration skills (DNS, HTTP, SSL, TCP/IP, etc.)
- Understanding of SDLC
- Excellent written and verbal communication skills in English
- A team player mindset, innovative, passion for learning new tools, systems, and best practices, and a desire to propose your ideas and initiatives
- Solid communication skills
- AWS
- Docker
- Kubernetes
- Terraform
- AWS CloudFormation
- Ansible
- Puppet
- Chef
- CI/CD
- Jenkins
- GitHub Actions
- Linux
Automat-it is an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.
Automat-it operates in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.
In this DevOps Team Lead position, you will be a key member of the expansion of our DevOps teams. You will mentor and coach them to deliver the best infrastructure solutions for our customers.
Responsibilities
- Lead and manage a team of 6-8 DevOps Engineers.
- Lead and be responsible for on-time, great-quality project deliveries.
- Define or participate in creating Architecture and Designs for the infrastructure and CI/CD solutions for the projects.
- Facilitate team’s communication with the customers.
- Conduct code reviews and coaching and make sure technical best practices are applied.
- Manage and track SOW for projects together with customers, PMO and higher management.
- Hands-on implementation and/or closely monitored guidance of the key complex elements in developing build automation flows, continuous release and deployment automation flows, automated resources, and infrastructure provisioning.
- Provide and manage estimations for pre-sale and sale stages for new projects.
- Drive the learning process within the team for the latest technology trends in the DevOps field.
Requirements
- Proven experience in successfully leading IT projects from the start to delivery
- Team Lead (or similar) experience leading DevOps and/or SysAdmin teams
- 5+ years of hands-on experience with AWS infrastructures. AWS certification is a plus
- 5+ years of hands-on experience with Docker containers, Kubernetes, and Infrastructure as code (Terraform, CloudFormation, etc.)
- Familiarity with Configuration Management (Ansible, Puppet, Chef, etc.)
- Experience with CI/CD tools such as Jenkins, GitHub actions, etc.
- Linux OS knowledge
- Network knowledge
- Fluent written and verbal communication skills in English
- Good task management skills
- MLOps
- AWS
- Kubeflow
- MLflow
- DataRobot
- Apache Airflow
- Python
- Linux
- scikit-learn
- Keras
- PyTorch
- TensorFlow
- OpenAI
- Amazon Bedrock
- LangChain
- LlamaIndex
- Docker
- Kubernetes
- OpenSearch
- Qdrant
- Weaviate
- LanceDB
- Snowflake
- BigQuery
- DataBricks
- GCP
- Azure
Automat-it is an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.
Automat-it operates in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.
We seek an experienced AI/ML Team Leader to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements and ensure project success overseeing from inception to completion.
Responsibilities
- Manage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.
- Lead and be responsible for on-time, great-quality project deliveries
- Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
- Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
- Delivering end-to-end ML products - model performance development, training, validation, testing, and version control
- Provision of ML AWS resources and infrastructure
- Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools
- Deploying Machine Learning models in production
- Help customers tackle challenges on a scale using distributed training frameworks
- Using and writing Terraform libraries for infrastructure deployment
- Developing CI/CD pipelines for projects of various scales and tech stacks
- Maintaining infrastructures and environments of all types, from dev to production
- Security monitoring and administration
Requirements
- Proven leadership experience with a track record of managing and developing technical teams.
- Excellent customer-facing skills to understand and address client needs effectively.
- Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
- Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
- Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientists and experience with software development and test automation
- Experience with one or more large language models, such as frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
- Experience with Docker and Kubernetes
- Fluent written and verbal communication skills in English
- Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. – an advantage
- Working knowledge with Snowflake, BigQuery, and/or Databricks – an advantage
- GCP or Azure knowledge (DevOps/MLOps) – an advantage
- ML certification (AWS ML Specialty or similar) – an advantage
Преимущества для сотрудников Automat-IT
- English Courses
- Team buildings
- Компенсація витрат на спорт
- Компенсація навчання
- Медичне страхування
- Надається ноутбук
- Оплата роботи в коворкінгу
- Оплачувані лікарняні
- Освітні програми, курси
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