Automat-it

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 seek an experienced MLOps Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• 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  
• Learning new skills and technologies quickly
• 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:

• 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 model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantage
• Experience with Docker and Kubernetes - 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

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

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, 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 AWS's main services, with an emphasis on Kubernetes and Containers
• 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

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team

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, 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.

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.

If you are interested in this opportunity, please submit your CV in English.

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

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 seek an experienced MLOps Team Lead 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 oversee project success from inception to completion.

📍 Work location - remote from Ukraine.

If you are interested in this opportunity, please submit your CV in English.

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

Beneftis

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

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 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.

At Automat-it, we help companies take control of their cloud costs, and we’re looking for a Cloud Cost Optimization Specialist who will join our FinOps team. This is an opportunity to step into one of the most in-demand areas of cloud technology and work with innovative customers, helping them make smart decisions about their cloud usage. 

Your first month will be dedicated to learning the basics (including AWS Practitioner certification), and you’ll gradually take on more responsibility by managing customers and taking care of their complex projects from the FinOps side.

📍 Work location - based in Lviv. (We can only consider applicants living in the Lviv area.)

If you are interested in this opportunity, please submit your CV in English.

Responsibilities: 

• Guide our customers through AWS billing and usage data, helping them understand key insights and trends.
• Partner with customers to review their cloud consumption and highlight cost optimization opportunities.
• Use external and internal tools to guide customers, set budgets, monitor usage patterns, and detect spending anomalies.
• Turn cloud usage data into clear, actionable recommendations and follow up on the impact of those changes.
• Create and present easy-to-understand reports and dashboards
• Support the smooth onboarding of new customers into Automat-it’s FinOps services.

Requirements:

• Customer-oriented and excellent communication skills
• Ability to learn AWS cloud architecture and services
• Fluent written and verbal communication skills in English
• Excellent organizational and task management skills
• Comfortable working with spreadsheets, reporting, and task management systems
• Ability to work with data, spot trends, and draw practical conclusions
• Ability to translate reports into simple insights and actionable recommendations
• A degree in a relevant field, such as Computer Science, Engineering, Math, Finance, or Big Data - an advantage
• Understanding of cloud platforms (especially AWS) and basic architecture concepts - an advantage.

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 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.

At Automat-it, we help companies take control of their cloud costs, and we’re looking for a FinOps Analyst who will join our FinOps team

This is an opportunity to step into one of the most in-demand areas of cloud technology and work with innovative customers, helping them make smart decisions about their cloud usage. Your first month will be dedicated to learning the basics (including AWS Practitioner certification), and you’ll gradually take on more responsibility by managing customers and taking care of their complex projects from the FinOps side.

📍 Work location - remote from Lviv 

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Guide our customers through AWS billing and usage data, helping them understand key insights and trends.
• Partner with customers to review their cloud consumption and highlight cost optimization opportunities.
• Use external and internal tools to guide customers, set budgets, monitor usage patterns, and detect spending anomalies.
• Turn cloud usage data into clear, actionable recommendations and follow up on the impact of those changes.
• Create and present easy-to-understand reports and dashboards
• Support the smooth onboarding of new customers into Automat-it’s FinOps services.

Requirements:

• Customer-oriented and excellent communication skills
• Ability to learn AWS cloud architecture and services
• Fluent written and verbal communication skills in English
• Excellent organizational and task management skills
• Comfortable working with spreadsheets, reporting, and task management systems
• Ability to work with data, spot trends, and draw practical conclusions
• Ability to translate reports into simple insights and actionable recommendations
• A degree in a relevant field, such as Computer Science, Engineering, Math, Finance, or Big Data - an advantage
• Understanding of cloud platforms (especially AWS) and basic architecture concepts - an advantage

Benefits:

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

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 seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.
• Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.
• Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.
• Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.

Requirements:

• 3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.
• 5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.
• Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.
• Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.
• Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.
• Strong communication skills and the ability to collaborate across product and engineering teams.
• Fluent written and verbal communication skills in English

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

We seek an Accounts Receivable professional who is a certified Bookkeeper and also has experience in Collections. You will join the AR team of Automat-it's global customers and provide excellent customer service to our clients and stakeholders.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Issue and track credit memos, refunds, and adjustments in accordance with company policy
• Maintain and reconcile customer accounts, resolve discrepancies, and receipts issuing for incoming payments
• Support the month-end close process, including AR reconciliations and revenue reporting
• Oversee and enhance collections and accounts receivable aging processes to minimize delinquencies and establish scalable operational practices.
• Work cross-functionally to review, investigate, and address customer account discrepancies
• Work with the sales team to review overdue accounts and create strategies for collecting outstanding amounts.
• Resolve collection issues by analyzing customer payment plans, histories, and credit limits.
• Partner with the accounting team to maintain an accurate and reconciled A/R sub-ledger, addressing any provisions for bad debts as necessary.
• Conduct credit risk analysis for new and existing customers.
• Handle ad-hoc finance tasks related to the main stakeholders

Requirements:

• Certified bookkeeper
• 3+ years of working experience in an Accounts Receivable role, which includes collection processes and operations, from a large organization with multiple currencies, preferably in tech companies.
• Excellent Microsoft Excel/Google Sheets skills, including pivot tables and functions such as VLookup 
• Experience with ERP systems, preferably Priority system
• Excellent customer-facing skills
• Bachelor’s Degree in a relevant field, such as Accounting, Finance, Mathematics, or Statistics
• Fluent in written and verbal communication skills in English
• Outstanding attention to detail and excellent time management skills
• A solid service orientation combined with assertiveness and the ability to influence actions to achieve desired outcomes effectively

Benefits:

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

We’re looking for a Senior Data Scientist to help shape how our clients build and scale AI solutions on AWS. In this role, you’ll develop and deploy cutting-edge generative AI models on SageMaker – from model training and fine-tuning to optimized deployment – guiding customers from ideation to production through proof of concept. You’ll work closely with startup founders, technical leaders, and account teams to create scalable, high-impact AI solutions that drive real business value.

Responsibilities:

• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.
• Collaboration: Work closely with Data Engineering, DevOps, and MLOps teams to integrate models into production pipelines and workflows.

Requirements:

• 4+ years of experience in machine learning or data science roles, with deep learning (NLP, LLMs) expertise.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Strong experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Excellent communication skills and ability to work directly with customers in a consulting capacity.
• A master’s degree in a relevant field and AWS ML certifications are a plus.

Benefits:

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

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 Senior Data Engineer to play a key role in building our Data & Analytics practice and delivering modern data solutions on AWS for our clients. In this role, you'll be a customer-facing, hands-on technical engineer who designs and implements end-to-end data pipelines and analytics platforms using AWS services like AWS Glue, Amazon OpenSearch Service, Amazon Redshift, and Amazon QuickSight. From migrating legacy ETL workflows to AWS Glue to building scalable data lakes for AI/ML training, you'll ensure our customers can unlock the full value of their data. You’ll work closely with client stakeholders (from startup founders and CTOs to data engineers) to create secure, cost-efficient architectures that drive real business impact.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• 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.
• Implement infrastructure automation and CI/CD for data projects. Use Infrastructure as Code (Terraform) and DevOps best practices to provision AWS resources and continuously integrate/deploy data pipeline code.
• Lead customer workshops and proof-of-concepts (POCs) to demonstrate proposed solutions. Run technical sessions (architecture whiteboards, Well-Architected reviews) to validate designs and accelerate customer adoption.
• Collaborate with engineering teams (Data Scientist, DevOps and MLOps teams) and stakeholders to deliver projects successfully. Ensure solutions follow AWS best practices and security guidelines, and guide client teams in implementing according to the plan.

• Stay up-to-date on emerging data technologies and mentor team members. Continuously learn new AWS services (e.g. AWS Bedrock, Lake Formation) and industry trends, and share knowledge to improve our delivery as we grow the Data & Analytics practice.

   

Requirements

• 5+ years of experience in data engineering, data analytics, or a related field, including 3+ years of hands-on AWS experience (designing, building, and maintaining data solutions on AWS).
• 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 skills with an ability to explain complex data concepts in clear terms. Comfortable working directly with clients and guiding technical discussions.
• 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.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

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.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

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.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

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 solutions that drive 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 hands-on Data Science Team Lead to build and scale production AI/ML solutions on AWS while leading a Data Scientist team. You’ll own the full lifecycle —from discovery and proof-of-concepts to training, optimization, deployment, and iteration in production — partnering closely with customers and cross-functional teams.

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• People leadership: Manage and coach a team of Data Scientists, set clear goals, run 1:1s, and support career growth and technical excellence.
• Delivery ownership: Drive project scoping, planning, and on-time, high-quality delivery from inception to production. Proactively remove blockers, manage risks, and communicate status to stakeholders.
• Customer engagement: Work directly with founders/technical leaders to understand goals, translate them into feasible AI roadmaps, and ensure measurable business outcomes.
• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.

• Collaboration: Work closely with other teams (Data Engineering, DevOps, MLOps, Solution Architects, Sales teams) to integrate models into production pipelines and workflows.

   

Requirements

• Team management experience: 2+ years leading engineers or scientists (people or tech lead).
• Technical experience: 5–6+ years in Data Science/ML (including deep learning/LLMs).
• Excellent customer-facing skills to understand and address client needs effectively.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Fluent written and verbal communication skills in English.

• A master’s degree in a relevant field and AWS ML certifications are a plus.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.