Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Agentic AI (Mosaic AI)
• Python
• SQL

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Build and optimize data transformations using Python and SQL;
• Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
• Strong experience with Python;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Azure SQL pools;
• Understanding of performance tuning for data workloads;
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Synapse (Pipelines)
• Azure SQL pools
• Python
• SQL
• Performance tuning

What You'll Do

• Develop and maintain data pipelines in the Azure environment;
• Work with Azure SQL Pools for data storage and processing;
• Write and optimize SQL queries;
• Perform performance tuning for queries and data workflows;
• Collaborate with a team of engineers on Databricks-based solutions;
• Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
• Ensure reliability and consistency of data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Azure SQL Pools;
• Strong understanding of performance tuning for data workloads;
• Experience working in Azure cloud environment;
• Excellent communication skills;
• English level: B2 (Upper-Intermediate) or higher;

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Python;
• Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
• Familiarity with Databricks Asset Bundles;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
• SQL
• Python
• Azure

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Write, optimize, and maintain data transformations using Python and SQL;
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer
• Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
• Solid knowledge of SQL
• Strong experience with Python
• Experience working in Azure cloud environment
• Good understanding of data pipelines and data platform architecture
• Strong analytical and problem-solving skills
• Excellent communication skills
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.

Technologies

• Python
• Azure
• SQL
• Databricks
• Automation frameworks

What You'll Do

• Perform manual testing of application features and workflows;
• Develop and maintain automation tests using Python;
• Work with existing automation frameworks and improve test coverage;
• Validate data and perform database checks using SQL;
• Collaborate with development and QA teams to ensure product quality;
• Identify, document, and track defects;

Job Requirements

• 3+ year of experience in QA;
• Experience with Databricks ecosystem;
• Experience working in Azure cloud environment;
• Good understanding of data pipelines and data platform architecture;
• Experience with Python for test automation;
• Understanding of automation frameworks;
• Experience working with SQL;
• Strong knowledge of manual QA practices;
• Attention to detail and analytical mindset;
• Ability to work in a team environment;
• English level: Upper-Intermediate (B2) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About the Role

As a Senior Front-end Engineer at Pearl, you will work on customer-facing web applications for international markets and partners. You will join a team responsible for core functionality across international payment flows, post-funnel customer experience, international SEO, and AI-powered features.

You will work closely with Product, UX, and engineering teams to deliver high-quality software solutions, support regulatory and compliance updates for international markets, and contribute to AI-related functionality such as cross-language translation, and automatic PII detection and masking.

You’ll be part of a collaborative team that values ownership, strong engineering practices, continuous improvement, and practical use of AI tools in daily development.

What You’ll Do

• Design, develop, and maintain robust, scalable, and efficient web applications.
• Implement, test, and release new product features for international markets and partners.
• Work on international payment logic, pricing tests and models, Payment Page, post-funnel experience and international SEO initiatives.
• Contribute to AI-powered features, including cross-language translation for customer-expert communication,  and automatic PII detection and masking.
• Collaborate with Product and UX teams to refine requirements and deliver high-quality customer experiences.
• Support regulatory and compliance updates for international markets.
• Ensure high test coverage and follow CI/CD best practices.
• Conduct code reviews and contribute to knowledge sharing across the team.

What We’re Looking For

• 8+ years of professional experience in web development.
• Strong experience with React.js, including state management with Redux and component-based architecture.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, TypeScript, Less, React, Redux/Zustand.
• Good understanding of automated testing and willingness to write tests as part of daily development.
• Familiarity with Unit / Integration / Component tests using tools such as Vitest, Playwright, React Testing Library, Jest, or similar.
• Experience with LLMs / Generative AI tools, such as OpenAI, Copilot, Cursor, or similar.
• Experience working in Agile development and ability to handle multiple projects simultaneously.
• Strong understanding of development processes, CI/CD, and engineering best practices.
• Experience with Web Page performance optimization and measurement will be a plus.
• Familiarity with SQL / BigQuery will be a plus.
• Upper-intermediate English proficiency (B2 or higher). 
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

#LI-DNI

About the Role

As a Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining our web applications, ensuring high performance and scalability. You will work closely with cross-functional teams to deliver high-quality software solutions while contributing to projects that integrate advanced machine learning models, including large language models (LLMs), to deliver personalized user experiences and innovative features. You'll be part of a small, collaborative team that values continuous improvement and embraces the latest in technology.
 
Our technology stack includes .NET Core, C#, React.js, Node.js, Typescript, SQL Server 2019, Docker, Kubernetes, Google Analytics, and Power BI.  

Our ecosystem includes 170 connected applications and services, our main database is 2 TB, our sites handle 1 million visitors a day and 2 billion requests a month, and we release changes to production several times a day. We are a continuous integration and continuous deployment (CI/CD) organization. 

What You’ll Do

• Collaborating with cross-functional teams to demonstrate how they can effectively leverage our infrastructure to meet their objectives. 
• Designing, developing, and maintaining robust, scalable, and efficient web applications, backend logic modules and database structure.
• Identifying and implementing strategies to improve the stability, performance, and scalability of our applications and services. 
• Responding promptly to production incidents, employing creative problem-solving skills to minimize downtime and mitigate potential issues. 
• Supporting team members, fostering a culture of continuous learning and technical excellence. 
• Conducting code reviews and ensuring adherence to coding standards and best practices across the team. 
• Participating in the evaluation and integration of new technologies, including AI and automation tools, to drive innovation and efficiency. 

What We’re Looking For

• Minimum of 3 years of professional experience in full stack development.
• Extensive experience with React.js, including state management (Redux, Context API) and component-based architecture.
• Proficiency in .NET frameworks, C#, and data access technologies.
• Familiarity with Unit / Integration tests using any of Jest, NUnit, Playwright, React Testing Library.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, and TypeScript.
• Familiarity with database systems such as SQL Server or MySQL.
• Strong knowledge of design and architectural patterns, SOA design & web service development.
• Strong understanding of development processes.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Experience with Web Page performance optimization and measurement will be a plus.
• Degree in Computer Science, a related discipline or equivalent work experience.
• Upper-intermediate level of English.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

About the Role

As a Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work 
• Upper-intermediate English proficiency (B2 or higher). 
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

About the Role

As a Senior Product Manager at Pearl, you will own discovery, strategy, and execution for high-impact products supporting Pearl Enterprise, with direct responsibility for driving revenue outcomes (including Enterprise contracts totaling $2.5M+). This is a hands-on, high-ownership PM role in a fast-moving, ambiguous environment. You will partner closely with Engineering, AI / Innovation (IL), Sales, and cross-functional stakeholders to define priorities, set OKRs, and deliver results at Pearl-speed. Pearl’s product itself is increasingly AI-driven, and while this role does not require you to be an AI engineer, it does require comfort working with AI-powered products, AI prototypes, and AI-enabled teams.

What You’ll Do

Product Ownership & Execution

• Own the end-to-end discovery PM role: problem definition, prioritization, roadmap creation, execution, and delivery.
• Partner with IL / AI leaders to define OKRs, priorities, and quarterly roadmaps aligned to Enterprise goals.
• Lead agile teams to execute against the roadmap with speed, focus, and accountability.
• Own releases and delivery using lean and agile practices, balancing experimentation with execution.

Discovery, Data & Decision-Making

• Drive discovery through customer research, data analysis, experimentation, and rapid validation.
• Define product requirements for MVPs, AI-enabled features, and enhancements.
• Use product metrics and insights to inform decisions, measure impact, and iterate quickly.
• Operate with a strong data-driven mindset, making clear, timely decisions in ambiguous situations.

Cross-Functional Collaboration

• Partner closely with B2B sales, Enterprise stakeholders, customers, and partners to identify market problems and opportunities.
• Act as a strong cross-functional collaborator, aligning Engineering, AI, Sales, and Leadership.
• Clearly communicate the “why,” connect work to outcomes, and ensure focus on the highest-leverage initiatives.

What We’re Looking For

Experience & Skills

• 5+ years of Product Management experience in B2B web or platform products.
• Proven experience delivering first-generation or early-stage products.
• Comfort working with AI-powered products; experience with GenAI is a strong plus.
• Bonus: Ability to build or collaborate on AI prototypes to accelerate discovery.
• Strong experience with experimentation, MVP definition, and iterative delivery.

Core Traits & Capabilities

• Adaptability – Proven success operating in volatile, uncertain, complex, and ambiguous (VUCA) environments.
• Efficiency & Pace of Execution – Demonstrated ability to deliver results quickly using standard PM and lean start-up practices (“Pearl-speed”).
• Collaboration – Strong track record partnering cross-functionally, especially with B2B sales and Enterprise stakeholders.
• High Ownership Mindset – Proactive, accountable, and comfortable operating with minimal oversight.
• Data-Driven Decision Making – Uses data, not opinion, to guide priorities and trade-offs.
• Quick, Confident Decision-Making – Able to make informed decisions with imperfect information.
• Dependability – High follow-through and reliability on commitments.
• Strategic Thinking – Sees the big picture, communicates it clearly, and ensures work maximizes impact against OKRs.
• Growth Mindset – Open to feedback, continuously improving, and eager to learn.

About the Role:

We’re looking for an experienced QA Automation Engineer (Mobile/Android) to take the lead in ensuring our global security products meet the highest bars of reliability. In this role, you won’t just run tests; you’ll architect and scale automation solutions for our VPN portfolio (HotspotShield, Betternet) and our flagship antivirus (UltraAV). We are agile, work quickly, and focus on outcomes. We trust our team to build the best solution to help us scale for the future.

Day to Day:

• Architect and evolve our Android automation framework (Espresso/Kakao-Cup) to support a growing portfolio of security products.
• Design sophisticated testing strategies for VPN-specific challenges, including network-dependent flows and testing under unstable or switching connection states.
• Work closely with developers and other QAs to troubleshoot and resolve issues, offering detailed bug reports.
• Uphold QA best practices and contribute to driving the QA strategy.
• Continuously explore new testing tools and methodologies to enhance the QA process.

What you bring to the table:

• At least 3 years of experience in automating UI tests for Android apps written in Kotlin
• Strong hands-on expertise with Espresso and Kakao-Cup, with the ability to test screens built in both Jetpack Compose and classic XML.
• Experience with Robolectric and Mockito for test infrastructure and mocking dependencies.
• You’re comfortable building and maintaining pipelines in CircleCI and using Bash/sh scripting for automation and result processing.
• Experience sharding and parallelizing tests using Flank, and configuring device matrices within Firebase Test Lab or similar emulators.
• An understanding of the specific challenges of testing VPN apps, such as network-dependent flows and handling connection-state flakiness.
• At least upper-intermediate level of spoken and written English

It would be great if you also had:

• Experience maintaining UI test suites across multiple apps in both mono- and multi-repo setups.
• High level of comfort with ADB, log analysis, and a working understanding of the Android build process via Gradle (Kotlin DSL).
• Experience testing A/B frameworks, including covering feature-flagged flows and variant-dependent UI.
• Familiarity with testing Google Play Billing integrations (subscriptions, purchase flows, and edge cases).

Why Join Us?

• Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects.
• Meaningful Impact: Help create software that protects millions of users from cybersecurity threats.
• Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.

We are looking for a UAV/Robotics Engineer to join a non-commercial, EU-funded research project focused on developing drone and robotic systems for reconnaissance and demining operations at sea.
This is a full-time position in Ukraine (with possible business trips to other cities and countries and training grounds). The project duration is 1.5 years, with extensive opportunities for hands-on prototyping, field testing, and real-world deployment.

This role will suit enthusiastic engineers — not necessarily Senior-level — who are eager to learn, experiment, and take part in both software/hardware development and practical assembly & field testing of drones. Final-year university students with relevant experience are also welcome to apply.

Requirements

• Experience in developing drone systems and robotic platforms from concept to implementation

• Knowledge of UAV/USV hardware, sensors, autopilot missions, and control algorithms (e.g., MAVLink, Ardupilot)

• Skills in prototyping and electronics troubleshooting, with the ability to solve problems on-site

• Understanding of wireless communication protocols and network solutions

• Technical leadership experience and teamwork skills

• Collaboration and communication with project stakeholders

• Attention to detail, practical approach, and focus on reliable results

• Understanding of AI/ML principles for perception and decision-making solutions

• Familiarity with navigation principles (GNSS, ToF, etc.)

Responsibilities

• Develop software and hardware for UAV/USV systems from concept to working prototypes

• Assemble and test drones, participate in field training at test sites, and military polygons

• Ensure perimeter demining and reconnaissance support using AI and drone technologies

• Troubleshoot and prototype electronics, ensuring robustness of systems in real-world conditions

• Collaborate with project beneficiaries and research partners

• Contribute to knowledge-sharing and support within the engineering team