Sigma Software

Company Description

We're looking for a motivated Support Engineer to contribute to new and ongoing projects. This is a great opportunity to grow your IT career in a global company, working with industry leaders in AdTech, automotive, IoT, gaming, and more. 

You'll gain practical experience, develop your technical skills, and become part of a supportive, international team. 

Ready for the next step? We’re excited to welcome you! 

PROJECT
We have a few different project opportunities for you: 

• Project for global provider in automotive domain: The company develops intelligent hardware and software for smart vehicles, including digital cockpits and infotainment systems, supporting the transition to connected and autonomous driving. 
• Project for American company in healthcare domain: The client  is a commercial-stage medical technology company transforming organ transplant therapy for patients worldwide. Their mission is to help save more patients’ lives by increasing access to viable donor organs for those who are waiting for an organ transplant. 

• Project for Swedish company in MarTech/AdTech domains: The client provides customer communication and marketing automation tools, enabling multi-channel engagement, campaign management, and personalized messaging. 

   

Job Description

• Respond to incoming technical support requests via ticketing system, email, or chat 
• Monitor system alerts and escalate issues to L2/L3 or relevant teams when necessary 
• Provide initial troubleshooting and resolution for known issues 
• Log and track incidents using the corresponding tools 
• Ensure timely and professional communication with Customers 
• Maintain documentation for support processes and known issues 

• Collaborate with other support engineers and technical teams to ensure issue resolution 

   

Qualifications

• Basic understanding of IT systems, networking, or software troubleshooting 
• Ability to work flexible shifts as part of a 24/7 rotation, including nights and weekends 
• Attention to detail and the ability to follow standard procedures 

• Upper-Intermediate level of English 

   

WOULD BE A PLUS

• Experience in a help desk or support role 
• Familiarity with ticketing systems (e.g., Jira, Zendesk, ServiceNow) 
• Knowledge of Windows/Linux OS fundamentals 

• Understanding of monitoring and alerting tools 

   

PERSONAL PROFILE

• Strong written and verbal communication skills 
• Customer-oriented mindset with a problem-solving attitude 

We are looking for a Senior Data Engineer to join our Data Center of Excellence, part of Sigma Software’s complex organizational structure, which combines collaboration with diverse clients, challenging projects, and continuous opportunities to enhance your expertise in a collaborative and innovative environment.
 

Customer

Our client is one of Europe’s fastest-growing FinTech innovators, revolutionizing how businesses manage their financial operations. They offer an all-in-one platform that covers everything from virtual cards and account management to wire transfers and spend tracking. As a licensed payment institution, the client seamlessly integrates core financial services into their product, enabling companies to streamline their financial workflows with speed and security.
 

Project

You will join a dynamic team driving the evolution of a high-performance data platform that supports real-time financial operations and analytics. The project focuses on building scalable data infrastructure that will guarantee accuracy, reliability, and compliance across multiple financial products and services.

Requirements:

• At least 5 years of experience in data engineering or software engineering with a strong focus on data infrastructure
• Hands-on experience in AWS (or equivalent cloud platforms like GCP) and data analytics services
• Strong proficiency in Python and SQL
• Good understanding of database design, optimization, and maintenance (using DBT)
• Strong experience with data modeling, ETL processes, and data warehousing
• Familiarity with Terraform and Kubernetes
• Expertise in developing and managing large-scale data flows efficiently
• Experience with job orchestrators or scheduling tools like Airflow
• At least an Upper-Intermediate level of English
   

Would be a plus:

• Experience managing RBAC on data warehouse
• Experience maintaining security on data warehouse (IPs whitelist, masking, sharing data between accounts/clusters, etc.)

Responsibilities:

• Collaborate with stakeholders to identify business requirements and translate them into technical specifications
• Design, build, monitor, and maintain data pipelines in production, including complex pipelines (Airflow, Python, event-driven systems)
• Develop and maintain ETL processes for ingesting and transforming data from various sources
• Monitor and troubleshoot infrastructure issues, such as Kubernetes and Terraform, including data quality, ETL processes, and cost optimization
• Collaborate closely with analytics engineers on CI and infrastructure management
• Drive the establishment and maintenance of the highest coding standards and practices, ensuring the development of efficient, scalable, and reliable data pipelines and systems
• Participate in data governance initiatives to ensure data accuracy and integrity
• Actively participate in the data team’s routines and enhancement plans
• Stay up to date with the latest developments in data technology and provide recommendations for improving our analytics capabilities

Company Description

We are looking for a Senior Data Engineer to join our Data Center of Excellence, part of Sigma Software’s complex organizational structure, which combines collaboration with diverse clients, challenging projects, and continuous opportunities to enhance your expertise in a collaborative and innovative environment. 

CUSTOMER

Our client is one of Europe’s fastest-growing FinTech innovators, revolutionizing how businesses manage their financial operations. They offer an all-in-one platform that covers everything from virtual cards and account management to wire transfers and spend tracking. As a licensed payment institution, the client seamlessly integrates core financial services into their product, enabling companies to streamline their financial workflows with speed and security. 

PROJECT

You will join a dynamic team driving the evolution of a high-performance data platform that supports real-time financial operations and analytics. The project focuses on building scalable data infrastructure that will guarantee accuracy, reliability, and compliance across multiple financial products and services. 

Job Description

• Collaborate with stakeholders to identify business requirements and translate them into technical specifications 
• Design, build, monitor, and maintain data pipelines in production, including complex pipelines (Airflow, Python, event-driven systems) 
• Develop and maintain ETL processes for ingesting and transforming data from various sources 
• Monitor and troubleshoot infrastructure issues, such as Kubernetes and Terraform, including data quality, ETL processes, and cost optimization 
• Collaborate closely with analytics engineers on CI and infrastructure management 
• Drive the establishment and maintenance of the highest coding standards and practices, ensuring the development of efficient, scalable, and reliable data pipelines and systems 
• Participate in data governance initiatives to ensure data accuracy and integrity 
• Actively participate in the data team's routines and enhancement plans 
• Stay up to date with the latest developments in data technology and provide recommendations for improving our analytics capabilities 

Qualifications

• At least 5 years of experience in data engineering or software engineering with a strong focus on data infrastructure 
• Hands-on experience in AWS (or equivalent cloud platforms like GCP) and data analytics services 
• Strong proficiency in Python and SQL  
• Good understanding of database design, optimization, and maintenance (using DBT) 
• Strong experience with data modeling, ETL processes, and data warehousing 
• Familiarity with Terraform and Kubernetes 
• Expertise in developing and managing large-scale data flows efficiently 
• Experience with job orchestrators or scheduling tools like Airflow 
• At least an Upper-Intermediate level of English 

Would be a plus: 

• Experience managing RBAC on data warehouse 
• Experience maintaining security on data warehouse (IPs whitelist, masking, sharing data between accounts/clusters, etc.) 

I'm interested
 

We are looking for a highly qualified Software Developer with extensive experience working on projects of varying complexity and preferably with experience in HRMS/ERP systems. This is a Full Stack role, but we are also open to considering the Back-end Software Developer who is ready to contribute to the Front-end part.

Requirements

• At least 3,5 years of commercial experience in Full Stack development using JavaScript
• Proven experience with Node.js, ReactJS, and TypeScript
• Solid experience working with REST APIs
• Experience with relational databases, particularly MySQL
• Experience with Docker
• Familiarity with document-based system such as Redis
• General understanding of CI/CD practices
• Experience working with Microsoft Azure Cloud
• Intermediate level of English

Would be a plus:

• Knowledge of Kubernetes
• Experience in process automation
• Understanding and modeling of business processes
• Familiarity with ERP systems

• Previous experience working within Scrum or other Agile frameworks

   

  Responsibilities

• Take part in the active development of an internal product
• Design and develop unit, integration, and automated end-to-end tests.
• Participate in project and team meetings, providing relevant contributions and information
• Report status and progress according to the project and company requirements
• Where applicable, contribute to build and deployment automation.
• Participate in estimation and planning sessions
• Contribute to the development of technical project documentation and user documentation

We are looking for an ambitious and highly motivated Senior DevOps Engineer to join our team supporting multiple distributed environments. In this role, you’ll play a key part in migrating data centers to AWS Cloud, designing infrastructure architecture, and ensuring system stability through ongoing management, monitoring, and maintenance. You’ll also contribute by evaluating new technologies and recommending process improvements.

Are you ready to take on the challenge?
 

Customer

Our client is a global leader in digital business solutions for the automotive aftermarket, delivering cutting-edge software, data, and services to automotive professionals and businesses worldwide. Specializing in innovative tools for manufacturers, distributors, and retailers, the company focuses on areas such as parts cataloging, diagnostics, repair instructions, and business analytics. Their solutions enable seamless information exchange and empower clients to optimize operations, enhance workflows, and drive business efficiency across the value chain.
 

Project

The platform focuses on developing and maintaining a middleware application for the independent automotive aftermarket. This solution enables seamless integration with end-user IT infrastructure and supports bi-directional product catalog updates, ensuring efficient data exchange. Designed for B2B integration scenarios, the platform supports real-time data processing and synchronization across various environments. It includes REST APIs, locally running Windows services, and some Front-end components, forming a robust bridge between systems and streamlining workflows within the automotive ecosystem.

    Responsibilities

• Participate in the planning of system environment and infrastructure architecture
• Design, configure, test, and maintain project infrastructure
• Automate infrastructure provisioning and configuration using the Infrastructure as Code approach
• Develop and maintain CI/CD pipelines and automate related project processes
• Set up and manage monitoring, alerting, and log management solutions to ensure system visibility and reliability
• Proactively identify, prevent, and minimize incidents, ensuring timely resolution when issues occur
• Troubleshoot system and network performance issues, addressing root causes to maintain functionality and stability
• Provide recommendations on tools, technologies, and procedures that align with business needs and improve security, availability, cost-efficiency, and manageability
• Act as a consultant to the development team on infrastructure-related topics and best practices
• Create and maintain up-to-date infrastructure documentation, including system diagrams and inventory records
• Continuously optimize existing infrastructure environments
• Collaborate with security, IT, and engineering teams to deliver high-quality, secure, and reliable products
  
  Requirements
• At least 5 years of experience as a DevOps Engineer
• Over 4 years of hands-on experience with AWS
• Strong Linux user with more than 3 years of practical experience with Ubuntu, CentOS, AWS Linux, and Alpine
• Experience working with Azure DevOps and Windows Servers
• Basic scripting skills (Bash, Python)
• Familiarity with CI/CD tools such as TeamCity, Jenkins, CircleCI, etc.
• Minimum 2 years of experience with Kubernetes
• Proven experience with logging systems (ELK stack, OpenSearch) and monitoring tools (Zabbix, Grafana, Prometheus, CloudWatch)
• Experience with relational databases (MySQL, PostgreSQL, MSSQL) and NoSQL databases (Redis, MongoDB, DynamoDB), including setup and configuration
• Proficient in Infrastructure as Code tools: Ansible, Terraform, Terragrunt
• Strong understanding of containerization concepts (Docker, Docker Compose, Docker Registry) and orchestration using Kubernetes
• Solid networking knowledge (VPN, TCP/IP, OSI model, SSH) and familiarity with security configuration principles (NAT, load balancers)
• Good knowledge and practical experience with web and application servers (Apache, Nginx)
• Experienced user of Confluence
• At least an Upper-Intermediate level of English
• Would be a plus:
• Experience with other cloud platforms, especially Microsoft Azure
• Completed relevant DevOps certifications

We are looking for a DevOps Manager who will take on responsibilities related to competence leadership, drive internal initiatives, participate in estimations, audits, and contribute to pre-sales activities.

This role requires a strong technical background, leadership and negotiation skills, and the ability to work closely with the sales team, management, clients, and internal DevOps teams.

Join Sigma Software and be part of a dynamic team of professionals who are shaping the future of DevOps.

     Responsibilities

• Lead high-level DevOps activities, including infrastructure design, automation, and cloud solutions
• Act as a subject matter expert in cloud technologies (AWS, GCP, Azure), CI/CD pipelines, Kubernetes, and containerization
• Conduct technical audits and propose optimizations for existing infrastructures
• Assist with hotfixes and critical issue resolution across projects
• Participate in troubleshooting and improving system scalability, security, and performance
• Collaborate with sales teams on proposals for potential clients
• Take part in estimations, defining the scope and technical feasibility of projects
• Design and present business-oriented DevOps solutions to clients
• Contribute to service offering development, shaping innovative DevOps approaches
• Mentor and consult less experienced DevOps engineers and managers
• Organize and drive internal knowledge-sharing initiatives and best practice adoption
• Conduct technical interviews and evaluate candidates for DevOps roles
• Represent the company at industry conferences and tech events
• Contribute to whitepapers, blogs, and technical presentations
• Support and maintain partnerships with cloud providers and technology vendors
• Continuously improve DevOps processes across the company
• Ensure adherence to best practices in infrastructure as code, automation, and security compliance

• Evaluate new tools and technologies to enhance operational efficiency
   

  Requirements

• 7+ years of experience in a DevOps role, with at least 3 years in a leadership or Principal role
• Proven ability to design and implement DevOps strategies for large-scale systems
• Strong hands-on experience with AWS, GCP, or Azure
• Deep understanding of containerization technologies (Docker, Kubernetes) and infrastructure automation tools (Terraform, Ansible, CloudFormation)
• Experience in CI/CD pipeline design and implementation using tools such as GitLab CI, Jenkins, ArgoCD, etc.
• Knowledge of networking, security best practices, and compliance standards
• Ability to present complex technical solutions to both technical and non-technical stakeholders
• Fluent in English and Ukrainian (spoken and written)

Would be a plus:

• Experience working in a pre-sales or consulting environment

We’re hiring a skilled Middle/Senior C and Rust Developer to join a high-performing embedded systems team in the IoT domain.

We are looking for a highly motivated, self-driven, and experienced individual to join a team of embedded software developers and contribute to one of our projects.

Customer

Our Customer is a large international company that develops smart sleep-tracking devices.

Project

The project involves embedded software development for smart connected devices, with a focus on performance, reliability, and integration of modern communication and streaming technologies.

Requirements

• Strong Rust coding skills
• Good C coding skills
• Good understanding of WebRTC, WebSocket, and FFmpeg
• Knowledge of ESP 32 MCU, interfaces and protocols (UART, I2C, SPI, I2S)
• Experience with Linux OS
• Expertise in video transcoding (codecs such as H264, H265, MJPEG) and streaming (concepts such as NALU, AVCC, SPS, PPS, in the context of H.264)
• Knowledge of audio transcoding (codecs such as AAC, OPUS, PCM, G.711, G.722) and streaming (concepts such as DTX, PLC, in the context of OPUS)
• Experience in networking and IoT device development
• Experience in debugging and troubleshooting solutions for embedded systems, including software and hardware debugging
• At least an Upper-Intermediate level of English
• Would be a plus: Experience with С++ 14 standard or higher
• Practical experience with Bash and Python
• Knowledge of Google Protobuf protocols

Responsibilities

• Develop software components using Rust and C
• Contribute to the development of technical project documentation and user documentation
• Participate in conference calls and face-to-face meetings with the Customer and Customer partners
• Comply with the best engineering practices, technical standards, and quality criteria set forth on the project
• Report status and progress according to the project and company demands
• Identify current deficiencies in the development process, adopted procedures, engineering practices, environment configurations, etc., and suggest improvements
• Escalate technical issues to the Architect, Team Lead, and Project Manager
• Improve your skills within the areas of expertise by attending various training courses, seminars, and/or other educational organizations

We are looking for a talented Senior Data Engineer with a strong background in developing or contributing to applications based on microservices using a Kappa architecture. The project aims to unify data sourced from different EHR systems in the healthcare domain, using the FHIR data format.
 

Customer

Our client is a leading analytics company operating at the intersection of technology, artificial intelligence, and big data. They support manufacturers and retailers in the fast-moving consumer goods sector, helping them better understand market dynamics, uncover consumer behavior insights, and make data-driven business decisions.
 

Project

The project aims to unify data sourced from various EHR systems in the healthcare domain using the FHIR data format. The company’s proprietary technology platform combines high-quality data, deep industry expertise, and advanced predictive algorithms built over decades of experience in the field.
 

Responsibilities

1. Data Standardization and Transformation:
   • Convert diverse data structures from various EHR systems into a unified format based on FHIR standards
   • Map and normalize incoming data to the FHIR data model, ensuring consistency and completeness
2. Kafka Integration:
   • Consume and process events from the Kafka stream produced by the Data Writer Module
   • Deserialize and validate incoming data to ensure adherence to required standards
3. Data Segmentation:
   • Separate data streams for warehousing and AI model training, applying specific preprocessing steps for each purpose
   • Prepare and validate data for storage and machine learning model training
4. Error Handling and Logging:
   • Implement robust error handling mechanisms to track and resolve data mapping issues
   • Maintain detailed logs for auditing and troubleshooting purposes
5. Data Ingestion and Processing:
   • Use LLMs to extract structured data from EHRs, research articles, and clinical notes
   • Ensure semantic consistency and interoperability during data ingestion
6. Knowledge Graph Construction:
   • Integrate extracted data into a knowledge graph, representing entities and relationships for semantic data integration
   • Implement contextual understanding and querying of complex relationships within the knowledge graph (KG)
7. Advanced Predictive Modeling:
   • Leverage KGs and LLMs to enhance data interoperability and predictive analytics
   • Develop frameworks for contextualized insights and personalized medicine recommendations
8. Feedback Loop:
   • Continuously update the knowledge graph with new data using LLMs, ensuring up-to-date and relevant insights
   • Work Closely with Cross-Functional Teams
   • Collaborate with data scientists, AI specialists, and software engineers to design and implement data processing solutions
   • Communicate effectively with stakeholders to align on goals and deliverables
9. Contribute to Engineering Culture:
   • Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
      

Requirements

• Deep understanding of patterns and software development practices for event-driven architectures
• Hands-on experience with stateful stream data processing solutions (Kafka or similar streaming platforms)
• Strong knowledge of data serialization/deserialization using various data formats (at minimum JSON and Avro), and integration with schema registries
• Proven Python software development expertise, with experience in data processing and integration (most of the software is written in Python)
• Practical experience building end-to-end solutions with Apache Flink or a similar platform
• Experience with containerization and orchestration using Kubernetes (K8s) and Helm, especially on Google Kubernetes Engine (GKE)
• Familiarity with Google Cloud Platform (GCP) or a similar cloud platform
• Hands-on experience implementing data quality solutions for schema-on-read or schema-less data
• Hands-on experience integrating with Apache Kafka, particularly the Confluent Platform
• Familiarity with AI and ML frameworks
• Proficiency in SQL and experience with both relational and NoSQL databases
• Experience with graph databases like Neo4j or RDF-based systems
• Experience in the healthcare domain and familiarity with healthcare standards such as FHIR and HL7 for data interoperability
   

WOULD BE A PLUS:

• Experience with web data scraping
   

Personal Profile

• Strong problem-solving skills, with the ability to design innovative solutions for complex data integration and processing challenges
• Excellent communication skills, with the ability to articulate complex technical concepts and work effectively with various stakeholders
• Commitment to improving healthcare through data-driven solutions and technology
• Stay abreast of the latest technologies and industry trends while continually improving your skills and knowledge
• Ability to work in a collaborative environment, valuing diverse perspectives and contributing to a positive team culture

We are looking for a talented Senior Data Engineer with a strong background in developing or contributing to applications based on microservices using a Kappa architecture. The project aims to unify data sourced from different EHR systems in the healthcare domain, using the FHIR data format.

Customer

Our client is a leading analytics company operating at the intersection of technology, artificial intelligence, and big data. They support manufacturers and retailers in the fast-moving consumer goods sector, helping them better understand market dynamics, uncover consumer behavior insights, and make data-driven business decisions.

Project

The project aims to unify data sourced from various EHR systems in the healthcare domain using the FHIR data format. The company’s proprietary technology platform combines high-quality data, deep industry expertise, and advanced predictive algorithms built over decades of experience in the field.

Requirements:

• Deep understanding of patterns and software development practices for event-driven architectures
• Hands-on experience with stateful stream data processing solutions (Kafka or similar streaming platforms)
• Strong knowledge of data serialization/deserialization using various data formats (at minimum JSON and Avro), and integration with schema registries
• Proven Python software development expertise, with experience in data processing and integration (most of the software is written in Python)
• Practical experience building end-to-end solutions with Apache Flink or a similar platform
• Experience with containerization and orchestration using Kubernetes (K8s) and Helm, especially on Google Kubernetes Engine (GKE)
• Familiarity with Google Cloud Platform (GCP) or a similar cloud platform
• Hands-on experience implementing data quality solutions for schema-on-read or schema-less data
• Hands-on experience integrating with Apache Kafka, particularly the Confluent Platform
• Familiarity with AI and ML frameworks
• Proficiency in SQL and experience with both relational and NoSQL databases
• Experience with graph databases like Neo4j or RDF-based systems

• Experience in the healthcare domain and familiarity with healthcare standards such as FHIR and HL7 for data interoperability

   

WOULD BE A PLUS:

• Experience with web data scraping

   

Personal Profile:

• Strong problem-solving skills, with the ability to design innovative solutions for complex data integration and processing challenges
• Excellent communication skills, with the ability to articulate complex technical concepts and work effectively with various stakeholders
• Commitment to improving healthcare through data-driven solutions and technology
• Stay abreast of the latest technologies and industry trends while continually improving your skills and knowledge
• Ability to work in a collaborative environment, valuing diverse perspectives and contributing to a positive team culture

Responsibilities:

• Data Standardization and Transformation:
  • Convert diverse data structures from various EHR systems into a unified format based on FHIR standards
  • Map and normalize incoming data to the FHIR data model, ensuring consistency and completeness
• Kafka Integration:
  • Consume and process events from the Kafka stream produced by the Data Writer Module
  • Deserialize and validate incoming data to ensure adherence to required standards
• Data Segmentation:
  • Separate data streams for warehousing and AI model training, applying specific preprocessing steps for each purpose
  • Prepare and validate data for storage and machine learning model training
• Error Handling and Logging:
  • Implement robust error handling mechanisms to track and resolve data mapping issues
  • Maintain detailed logs for auditing and troubleshooting purposes
• Data Ingestion and Processing:
  • Use LLMs to extract structured data from EHRs, research articles, and clinical notes
  • Ensure semantic consistency and interoperability during data ingestion
• Knowledge Graph Construction:
  • Integrate extracted data into a knowledge graph, representing entities and relationships for semantic data integration
  • Implement contextual understanding and querying of complex relationships within the knowledge graph (KG)
• Advanced Predictive Modeling:
  • Leverage KGs and LLMs to enhance data interoperability and predictive analytics
  • Develop frameworks for contextualized insights and personalized medicine recommendations
• Feedback Loop:
  • Continuously update the knowledge graph with new data using LLMs, ensuring up-to-date and relevant insights
  • Work Closely with Cross-Functional Teams
  • Collaborate with data scientists, AI specialists, and software engineers to design and implement data processing solutions
  • Communicate effectively with stakeholders to align on goals and deliverables
• Contribute to Engineering Culture:
  • Foster a culture of innovation, collaboration, and continuous improvement within the engineering team

Are you detail-oriented and ready to take on a high-impact role in the digital security space? Do you have a sharp eye and thrive on structure and consistency? Then this could be a perfect opportunity for you!
Our position is open in the Support team at Sigma Software, where you will join a team of 25 professionals at Junior, Middle, and Senior levels.
During the probation period, you’ll be assigned a mentor to help you with all routine tasks and work-related matters.
Since we work with Customers across different countries and domains, it’s difficult to specify a particular project in advance.
Working hours are from 10:00 am to 7:00 pm according to your local time zone, with the possibility of on-call duties in the future.

Customer

You will have the opportunity to work with world-renowned corporations across various domains, such as AdTech, automotive, IoT, gaming, and intellectual property services.
 

Project

We have several different opportunities:

1) Project for a German company in the automotive industry: The client specializes in developing and implementing synergetic digital technologies for the automotive industry. Their technology stack includes advanced driver assistance systems, charging technology, a unified infotainment platform, and software functions for driving performance.

2) Project for an American AdTech company: The client develops a digital engagement security platform designed to help businesses prevent malvertising threats and E-commerce fraud. Their technology provides an innovative anti-malvertising security service that effectively protects publishers, their audiences, and advertisers from malvertising attacks executed through the programmatic advertising ecosystem.

3) Project for a Swedish company in the software development industry: The client is a leader in cross-channel marketing automation for marketers and CRM teams, with over 20 years of experience in digital marketing. They were one of the first to automate marketing flows, originally referring to it as “event-driven marketing”.

Requirements

• At least 3 years of experience in a technical support role
• Hands-on experience in analyzing large and complex data sets (data manipulation, statistical analysis, conclusions, etc.)
• Experience working  with Jira and a desire to continue developing in this area
• Knowledge of web architecture and protocols (CDN, HTML, DOM, HTTP, HTTPS, IPv4/v6, etc.)
• Experience with SQL, JavaScript, Python, or Java
• Hands-on experience in troubleshooting technical issues, using tools, logs, and diagnostic techniques
• Basic understanding of network configurations
• Upper-Intermediate level of English
   

Personal Profile

• Flexibility to work in different shifts
• Analytical mindset and data-driven decision-making skills
• Customer-facing and excellent communication skills
• Responsible approach to work

Responsibilities

• Respond promptly and professionally to Customer inquiries and technical support requests
• Ensure that  agreed service levels are met according to the Service Level Agreement (SLA)
• Analyze Customer traffic to identify undetected threats and false detections, primarily using Elasticsearch and BigQuery (SQL)
• Diagnose and troubleshoot complex technical issues related to software applications, hardware, and network systems
• Conduct in-depth analysis of Customer issues, identify root causes, and implement effective solutions
• Maintain accurate and detailed records of Customer interactions, technical issues, and resolutions in the ticketing system
• Monitor and analyze system performance and availability, identifying and resolving potential issues to minimize downtime
• Participate in the creation and maintenance of technical documentation, knowledge base articles, and troubleshooting guides
• Assist in testing and validating software releases and updates before deployment to ensure quality and reliability

Our Support team is growing and we’re looking for motivated individuals to join us and help us provide the best service to our Customers.

This is a great opportunity to start or grow your career in tech while working with well-known international brands in industries such as AdTech, automotive, IoT, gaming, and IP services.

If you’re ready to challenge yourself, grow your expertise, and take full ownership of your work, this is your chance!

Customer

The client supports IT solution providers in scaling their cloud operations through SaaS tools and a platform designed for smooth migration, data backup, and customer management.

Project

Your main task will be to work with an extensive lead database in HubSpot — validating company types (e.g., identifying MSPs) and verifying contact information to keep data accurate and up to date.

Requirements

• Experience with CRM systems (preferably HubSpot or MS Dynamics)
• Strong research and data validation skills
• Ability to work with large datasets
• Basic understanding of the IT industry and MSP operations
• Familiarity with Jira and willingness to grow in this area
• Familiarity with Microsoft Excel and Google Sheets
• Upper-Intermediate level of English

Personal Profile

• Logical thinking and strong communication skills
• Attention to detail

Responsibilities

• Validate company type (MSP or end-user) based on provided criteria
• Research and verify contact information using open sources
• Add and update verified data in HubSpot
• Maintain accuracy and consistency of data entry in CRM
• Apply appropriate tags, comments, and checkboxes in HubSpot according to guidelines
• Continuously update and refine the lead database as new contacts appear

We are looking for a Senior Data Engineer with extensive experience in data engineering who is passionate about making an impact. Join our team, where you will have the opportunity to drive innovation, improve solutions, and help us reach new heights!

If you're ready to take your expertise to the next level and contribute significantly to the success of our projects, submit your resume now.

Our client is a leading medical technology company. The portfolio of products, services, and solutions is central to clinical decision-making and treatment pathways. Patient-centered innovation has always been at the core of the company, which is committed to improving patient outcomes and experiences, no matter where they live or what challenges they face. The company is innovating sustainably to provide healthcare for everyone, everywhere.

The Project’s mission is to enable healthcare providers to increase their value by equipping them with innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, and digital health and enterprise services.

Responsibilities:

• Work closely with the client (PO) and other team leads to clarify technical requirements and expectations
• Implement architectures based on Azure cloud platforms (Data Factory, Databricks, Event Hub)
• Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources and structure them into clean data models with clear and understandable schemas
• Contribute to the evaluation of new tools for analytical data engineering or data science
• Suggest and contribute to training and improvement plans related to analytical data engineering skills, standards, and processes

Requirements:

• Solid experience in data engineering and cloud computing services, specifically in the areas of data and analytics (Azure preferred)
• Strong conceptual knowledge of data analytics fundamentals, including dimensional modeling, ETL, reporting tools, data governance, data warehousing, and handling both structured and unstructured data
• Expertise in SQL and at least one programming language (Python/Scala)
• Excellent communication skills and fluency in business English
• Familiarity with Big Data DB technologies such as Snowflake, BigQuery, etc. (Snowflake preferred)
• Experience with database development and data modeling, ideally with Databricks/Spark

We invite a highly skilled JavaScript expert with extensive experience in React and Node.js, who excels as a collaborative team member.

The role extends beyond coding, encompassing responsibilities such as handling feature aspects, specifications, technical design, development, testing, documentation, and maintenance.

Customer:

Our client has rapidly become one of Europe’s most swiftly expanding FinTech companies. They oversee all aspects of financial operations, from generating virtual cards to facilitating wire transfers and maintaining customer account balances. As a payment institution, our client provides a platform that integrates financial services into its product, offering features such as account management, card payments, bank transfers, and additional services.

Requirements:

• Over 5 years of experience in Back-end software development
• At least 3 years of experience with TypeScript
• Over 3 years of experience working with Node.js, React, and Redux on large-scale applications
• Strong experience in designing distributed and secure systems
• Good understanding of microservices architectures
• Experience in designing, building, and maintaining APIs
• Experience in building and consuming REST and/or GraphQL APIs
• Familiarity with DevOps practices
• Experience working with a Cloud Provider (AWS, GCP, Azure, etc.)
• Good knowledge of best testing practices
• At least an Upper-Intermediate level of English

Responsibilities:

• Design and implement large-scale software solutions and components using multiple technologies, with a primary focus on React and Node.js
• Keep consistently high level of quality throughout all stages of the development
• Communicate effectively to actively collaborate with the team and get context for complex tasks
• Follow best engineering practices and company and client guidelines
• Play supervisory, advisory, and coaching roles for less-experienced engineers on the team
• Promote clean code and design patterns and principles

We have a great opportunity for an energetic and ambitious Product Manager eager to take on new challenges and work in a rapidly growing industry.

Are you ready to join us?

Project

By joining our Stellar team, you can become a part of over 300 experts in the AdTech domain. What is Stellar? A community, a network, a dedicated business unit in Sigma Software that specializes in Advertising Technology solutions. Over the years, we’ve had opportunities to work with some of the largest AdTech companies in the world. We brought tons of AdTech startups from an idea to a thriving business. Since 2008, we’ve been working with advertising technology companies to help envision, build, and support their technology.  We are building a Competence Center where we stay focused on exploring our domain to become the best specialists in the industry. If you strive to build long-term cooperation, develop business and relationships with the best Customers, and are ready to take commitments for common business development, this could be a perfect match.

Requirements

• At least 5 years of proven experience as a Product Manager with a strong focus on pre-sales activities
• Strong understanding of the outsourcing model and how to adapt product solutions to client needs
• Experience with product lifecycle management, including requirements gathering, solution design, and stakeholder management
• Strong communication and presentation skills, with the ability to effectively engage clients and internal teams
• Ability to work in a fast-paced, dynamic environment and manage multiple product solutions simultaneously

• Advanced English

   

Would be a plus

• Experience in the AdTech domain

Responsibilities

• Collaborate with the Sales team during the pre-sales phase to understand client requirements, define product solutions, and help craft compelling proposals
• Work closely with clients to understand their business challenges and translate them into product solutions, ensuring alignment with client goals
• Gather and document client feedback to help refine proposals and offer tailored solutions
• Assist in negotiating project scopes and timelines, ensuring that product deliverables align with business expectations
• Create and maintain detailed product roadmaps, prioritizing features based on client needs and business value
• Translate business requirements into user stories and product specifications for development teams
• Work with the technical team to assess feasibility and resources required to deliver the proposed solutions
• Collaborate with the Delivery team to ensure smooth handoff after the pre-sales phase, ensuring that all product details are properly transitioned for execution
• Participate in the development of the overall delivery strategy, making sure that product solutions are scalable and can be successfully implemented by the Project teams

If you are looking to start or continue your career in an international IT company, this could be your opportunity. Our business unit is growing, and we are looking for new members to join us and help provide the best services.

We are seeking a Business Unit Coordinator to assist with various activities of the department. If you pay attention to detail, are highly organized, and can find a common language with stakeholders, you are our ideal candidate!

Project

This role offers the opportunity to work in a dynamic business unit that has projects in AdTech, automotive, IoT, and electronics.

As a Business Unit Coordinator, you will be responsible for data reporting, maintaining accurate records, coordinating meetings, proofreading documentation, and managing tracking systems. You will also take part in quality performance analysis, process coordination, and cross-team collaboration to ensure smooth communication and effective execution of departmental initiatives.

Requirements:

• Proficiency in Microsoft Office tools, particularly Excel, PowerPoint, and Word
• Accuracy in handling data and documentation
• Ability to follow up and ensure task completion
• Ability to handle multiple tasks effectively

• Upper-Intermediate level of English

   

WOULD BE A PLUS:

• Experience in the IT industry

Personal Profile:

• Strong analytical and problem-solving skills
• Attention to detail
• Excellent communication skills
• Good organizational skills

Responsibilities:

• Prepare reports based on quality performance metrics
• Maintain accurate records of key process outcomes and ensure data consistency
• Track recorded action items, and follow up with responsible stakeholders to ensure timely closure
• Coordinate and participate in meetings, and document clear and concise meeting minutes
• Proofread and review internal documentation in English to ensure clarity and correctness
• Monitor and manage updates in the company tracking systems to support operational workflows