Remote jobs in Europe

We are looking for an experienced Integrations Team Lead. This role combines people management with ownership of the entire integration lifecycle — from onboarding and technical implementation to post-launch support and continuous optimization.

Ideal for someone who enjoys building high-performing teams, delivering seamless integrations, and continuously improving technical processes.

What you’ll do:
• Lead and develop a team of Integration Managers and Technical Support Specialists;
• Manage team performance, workload planning, mentoring, and career development;
• Own API checks of integrations and ensure timely delivery of these API checks;
• Coordinate cross-functional initiatives involving Product, Engineering, Compliance/Legal, Operations, and external partners;
• Identify and mitigate risks, dependencies, and blockers;
• Drive continuous improvements in integration processes and documentation;
• Ensure high-quality technical guidance during API integration and production launch;
• Manage post-go-live technical support, troubleshoot integration issues, and coordinate resolution with internal engineering teams and external partners;
• Establish and improve Technical Support processes, including SLA management, incident handling, escalation procedures, and knowledge base maintenance.

Your expertise:
• 2+ years of experience managing teams, including hiring, mentoring, performance management, and employee development;
• 3+ years of experience working with third-party integrations;
• Hans-on experience working with REST APIs, webhooks, and technical integration documentation;
• Deep understanding of financial service workflows, third-party integrations, user journeys, and system interactions;
• Experience managing multiple integrations simultaneously;
• Experience supporting partners throughout the full integration lifecycle, from onboarding to post-production support;
• Strong stakeholder management and communication skills;
• Experience working with cross-functional engineering teams in Agile environments;
• Excellent organizational, leadership, and problem-solving skills;
• English (B2+ or higher).

Life at Emergine:

Stay Supported
• 100% paid sick leave
• 21 working days of paid vacation
• Medical support for office and remote employees
• Benefits Cafeteria including sports, gym, healthcare, dental care, psychological support, wellness and learning.

Work Without Borders
• International team
• Global collaboration
• Flexible work models depending on the role
• Remote, hybrid or office-based setup depending on the position

Grow Through Motion
• PDP and career development plans
• Regular feedback sessions
• Leadership opportunities
• Continuous professional development
• Knowledge-sharing sessions
• Management development initiatives

Create Real Impact
• Ownership from early stages
• International projects
• Complex and meaningful challenges
• Collaborative management
• Open communication
• Low bureaucracy
• Space for initiative and innovation

Hiring process:
HR Interview · Technical Interview · Final Interview · Reference check · Job Offer

Your Role:

You will have a key role in our rapidly growing, fast-paced organisation. The ideal candidate will be responsible for helping our software development perform manual testing of our web-based product. You will work with our CTO and automation engineers to document and create test cases, and then run them.  We’re looking for a self-starter with experience in QA, a knack for breaking things, finding bugs and problem solving them.

Benefits:

Work from home, flexible hours

Be a key member of a small team

Fast paced startup environment, global team

Get things done while having fun

Help real people succeed in business

Get rewards and bonuses for working hard

Compensation in USD

Unlimited days off

Responsibilities:

Own the manual testing process for our web-based lending platform, from reviewing requirements through to release sign-off

Write clear, comprehensive test plans, test cases and checklists based on user stories and acceptance criteria

Execute functional, regression, smoke and exploratory testing across browsers and mobile web

Use AI assistants (Claude, ChatGPT, Copilot and similar) to draft and expand test cases, generate test data and speed up bug reproduction, then apply your own judgement to verify what the AI produces

Validate data end to end, including API responses (Postman or similar) and database checks with basic SQL

Identify, reproduce, document and track defects in Jira with clear steps, evidence and severity

Perform thorough regression testing before each release and keep the regression suite current

Partner with our CTO, developers and automation engineers to flag risk early and suggest which cases are worth automating

Contribute to QA process improvement: test coverage, test data, environments and release checklists

Requirements:

2+ years of hands-on manual QA experience testing web applications

Solid grasp of QA methodologies and test design techniques (equivalence partitioning, boundary values, decision tables), test levels and the defect lifecycle

Proven ability to write clear, concise and comprehensive test plans and test cases

Experience with API testing (Postman or similar) and reading API documentation

Basic SQL - able to query and validate data yourself

Comfortable with browser developer tools (console, network tab, responsive mode) for triage

Experience with a bug tracker (Jira) and a test management tool (TestRail, Xray, Zephyr or similar)

Practical experience using AI assistants in day-to-day QA work, plus the judgement to verify their output and to keep confidential data out of public tools

Strong analytical thinking and attention to detail - able to spot edge cases in complex business logic and calculations

Experience working in an Agile/Scrum process in close collaboration with developers

Professional working proficiency in written and spoken English (B2 or above), and comfort working asynchronously with a distributed US and European team

Self-starter who can own quality with minimal supervision in a fully remote setup

Nice to Have:

Exposure to fintech, lending, banking or mortgage products

Experience testing AI or LLM-powered features - non-deterministic output, prompt regression, accuracy and hallucination checks

Familiarity with test automation (Playwright, Cypress, Selenium) - enough to read, run and triage automated tests

Experience with CI/CD pipelines (GitHub Actions or similar) and testing in staging environments

Basics of accessibility or performance testing

ISTQB certification or equivalent

Previous experience with international or US-based teams

How We Use AI Here:

AI is part of how we work, not a replacement for thinking. You will be encouraged to use AI tools to move faster - drafting test cases, generating realistic test data, summarising regression results and exploring edge cases you might otherwise miss.

What we expect in return is accountability for the result: verify what the model gives you, keep customer and company data out of public tools, and tell us when AI is not the right tool for the job.

If you have not used AI much in QA yet but are curious and quick to learn, that is fine - we will help you get there.

Hiring Process:

Intro call, a short practical QA exercise based on a real scenario from our product, a technical interview with our CTO and a pre-employment assessment. We aim to keep the whole process inside two weeks.

Environment and Culture:

We work hard, days can be long, but we get rewarded for it

We are driving for growth

We are available and responsive

We think ahead, but we get things done quickly

We move fast, but try not to break things

We're CBD Local — an SEO & growth agency that has spent 8 years putting US CBD/hemp brands on top of Google. Our clients do $100K+/month, and our case studies show +170% organic traffic in 6 months and thousands of daily clicks. We don't chase vanity metrics — we build revenue. 💸

We're looking for an SEO Junior who's genuinely fired up, wants to grow fast, and isn't scared of hard problems. No experience required — we'll train you from scratch. What matters is your brain, your drive, and your hunger to figure things out. 🚀

What you'll do:

🔍 Build and cluster keyword research (semantic core)

🧠 Develop SEO strategies for real projects

⚙️ Automate the routine (scripts, AI tools, parsers)

📊 Analyze competitors, work with Ahrefs / GSC

🤝 Collaborate with an international team on real US projects

You're a fit if you:

• Want to build a career in SEO and grow fast

• Love logic, numbers and spreadsheets

• Read English at B1+ level

• Are ready to learn every day and own your results

What we offer:

🎓 Hands-on training from practitioners, not YouTube

📈 Transparent growth: trial rate $800–1000 → base $1500 → up to $5000 within ~6 months based on results

🌍 Real international projects from month one

🏡 Fully remote, flexible schedule

🔥 A team that genuinely loves what it does

If your eyes are lighting up — apply, and we'll invite you for a chat. 😉

Key Responsibilities

• Develop and execute user acquisition strategies across paid social and search channels, with a strong focus on scalable growth.
• Manage and optimize campaigns throughout the full acquisition cycle — from launch and testing to scaling and performance improvement.
• Analyze campaign, funnel, and revenue data to identify growth opportunities and make data-driven decisions on budgets, targeting, creatives, and traffic sources.
• Work closely with media buyers, analytics, tracking, creative, and finance teams to ensure efficient campaign execution.
• Manage significant monthly advertising budgets and continuously optimize for ROAS, CAC, LTV, retention, and overall profitability.
• Develop and test new acquisition approaches, audiences, creatives, and campaign structures to drive sustainable growth.
• Monitor tracking and attribution, identify technical or performance issues, and coordinate their resolution with relevant teams.
• Build clear performance reports and communicate key insights, risks, and recommended actions to stakeholders.
• Contribute to scaling successful campaigns and entering new traffic sources, markets, and verticals.

Requirements

• 3–5+ years of hands-on experience in User Acquisition, Media Buying, or Performance Marketing.
• Strong practical experience with paid social platforms such as Meta, TikTok, Snapchat, and NewsBreak.
• Proven track record of managing and scaling monthly advertising budgets of $100K+.
• Strong analytical skills and the ability to turn performance data into actionable growth strategies.
• Good understanding of key acquisition and revenue metrics, including ROAS, CAC, LTV, retention, ARPU, and ARPPU.
• Hands-on knowledge of tracking and attribution technologies, including pixels, CAPI, UTMs, and server-to-server integrations.
• Experience with A/B testing, creative testing, audience segmentation, and high-volume campaign experimentation.
• Understanding of web funnels, user behavior, and revenue optimization.
• Experience working with direct advertisers, media buying teams, and cross-functional departments.
• Strong organizational and communication skills, with the ability to manage multiple campaigns and priorities simultaneously.
• Upper-Intermediate English or higher.
• Experience in verticals such as eCommerce, dating, health & fitness, social casino, entertainment, or finance lead generation is a plus.

Role overview

We are looking for a User Acquisition Manager who will be responsible for building, testing, and scaling paid acquisition channels while continuously improving the full user acquisition funnel.

This role goes beyond campaign setup and media buying. The focus is on systematic experimentation, understanding user behavior across the funnel, identifying scalable acquisition opportunities, and translating performance data into clear decisions.

The ideal candidate is comfortable working with relatively small testing budgets, extracting meaningful learnings quickly, and scaling only when the economics and conversion data support it.
 

Key responsibilities

• Plan, launch, manage, and optimize paid acquisition campaigns across Meta Ads and Google Ads.
• Own the acquisition funnel from ad impression through landing page, onboarding, conversion, and paid user acquisition.
• Develop and continuously test new audiences, campaign structures, creatives, offers, messaging, and landing-page hypotheses.
• Analyze campaign and funnel performance to identify bottlenecks and opportunities for improvement.
• Define and monitor key acquisition metrics including CAC, CPA, CPC, CPM, CTR, CVR, ROAS, payback period, and LTV/CAC.
• Build structured experimentation frameworks and prioritize tests based on expected impact.
• Work closely with creative, product, design, and analytics teams to improve conversion performance.
• Translate performance data into actionable creative and product hypotheses.
• Identify winning acquisition patterns and develop strategies for scaling them efficiently.
• Manage budgets dynamically based on campaign performance and business priorities.
• Maintain clear reporting on acquisition performance, experiments, learnings, and next steps.
• Work closely with founders and the product team on growth strategy and go-to-market execution.
   

Required technical skills

• 3+ years of experience in User Acquisition, Performance Marketing, Growth Marketing, or a similar role.
• Strong hands-on experience with Meta Ads Manager.
• Strong hands-on experience with Google Ads.
• Experience managing conversion-focused campaigns across multiple stages of the funnel.
• Strong understanding of campaign structure, targeting, bidding, attribution, and optimization logic.
• Experience working with Meta Pixel, Conversion API, Google Analytics, GTM, or similar tracking infrastructure.
• Ability to analyze campaign performance using spreadsheets, analytics tools, and advertising platform data.
• Strong understanding of funnel metrics and unit economics.
   

Required analytical & cognitive skills

• Strong analytical and hypothesis-driven mindset.
• Ability to distinguish meaningful performance signals from short-term advertising noise.
• Ability to work with limited budgets and design experiments that generate actionable learnings.
• Strong understanding of funnel optimization and conversion mechanics.
• Ability to identify the real reason behind performance changes rather than optimizing individual metrics in isolation.
• Ability to translate business objectives into acquisition strategies and measurable experiments.
• Strong prioritization skills and ability to focus resources on the highest-impact opportunities.
• High level of ownership and independence.
• Comfortable working in an early-stage environment where processes and acquisition playbooks are still being developed.
• Proactive, experimentation-oriented approach to growth.
   

Nice to have

• Experience with B2B, professional networking, marketplace, SaaS, subscription, or mobile app products.
• Experience building and optimizing quiz, onboarding, or lead-generation funnels.
• Experience with iOS app acquisition and App Store conversion funnels.
• Experience with creative performance analysis and developing briefs for designers or UGC creators.
• Experience with attribution platforms such as AppsFlyer, Adjust, or similar.
• Experience with A/B testing tools and landing-page optimization.
• Experience with lifecycle marketing, retargeting, and remarketing campaigns.
• Basic understanding of SQL, BI tools, or product analytics platforms.
• Previous experience scaling campaigns from small experimental budgets into predictable acquisition channels.

We are hiring a Senior Data Analyst / Analytics Lead for our client - a fast-growing consumer health brand in the gut health / probiotics space, primarily operating in the U.S. market.

The company sells its products through major retail chains and leading online marketplaces and is rapidly scaling its e-commerce and retail operations.

We are looking for a data-driven and business-oriented Senior Data Analyst / Analytics Lead who will help turn complex data into actionable insights and support strategic decision-making across the company’s omnichannel business, including Amazon, TikTok Shop, Shopify, Walmart, and Target.

In this role, you will work closely with Marketing, eCommerce, and Finance teams to understand business performance, identify growth opportunities, improve profitability, provide senior leadership with clear, data-backed recommendations, and build scalable analytical systems using modern AI-powered tools.

WHAT YOU WILL DO

• Analyze marketplace, retail, and DTC performance to identify key drivers of growth, decline, and profitability
• Analyze Shopify growth and customer acquisition performance driven by Meta Ads, and partner with the Marketing team to connect Meta Ads performance with Shopify sales and customer data to identify campaigns and acquisition strategies that drive sustainable, profitable growth
• Conduct in-depth analysis of TikTok Shop performance, including key growth, conversion, and profitability drivers
• Analyze performance across key e-commerce and retail channels
• Support retail and marketplace performance tracking, planning, and forecasting
• Build and maintain dashboards, reports, and analytical models to support business decision-making
• Build and improve analytical systems and workflows using AI tools, reducing manual work and accelerating insight generation
• Actively use Claude and other AI assistants for data exploration, SQL development, analytical workflows, research, documentation, and automation
• Explore opportunities to apply AI and machine learning approaches to forecasting, customer segmentation, anomaly detection, customer behavior analysis, and other business use cases
• Translate complex data into clear business insights and actionable recommendations

• Present key findings, trends, and recommendations to senior leadership

   

JOB QUALIFICATIONS

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative field
• Proven experience as a Data Analyst / Senior Data Analyst, preferably in e-commerce, retail, consumer goods, or a related industry
• Strong proficiency in:
  • SQL
  • Excel
  • Google Sheets
  • Power BI or other BI systems
• Strong analytical and problem-solving skills with the ability to work with large and complex datasets
• Strong interest in using AI tools to improve analytical productivity, automate workflows, and build scalable analytics solutions
• Strong attention to detail and data accuracy
• Excellent communication and presentation skills, with the ability to explain analytical findings to non-technical stakeholders

• English level: Upper-Intermediate or higher

   

NICE TO HAVE

• Experience with Python for data analysis, automation, or data processing
• Experience with machine learning or predictive analytics, including forecasting, customer segmentation, propensity modeling, anomaly detection, or related use cases
• Experience using Claude, ChatGPT, or other AI-powered tools as part of day-to-day analytical work

• Experience building AI-assisted analytical workflows, internal tools, or automations

   

WORKING FORMAT

• Full-time
• Remote

• Working hours: 16:00–01:00 Ukrainian time

   

WHAT OUR CLIENT OFFERS

• Competitive compensation aligned with market standards
• A stable full-time role in a fast-growing international business
• Direct exposure to a high-growth U.S. e-commerce and retail environment
• Opportunity to influence business decisions through data and analytics
• Opportunity to work with and implement modern AI-powered analytics approaches
• Professional growth and long-term collaboration
• Remote-friendly working environment
• Bonus and benefits package, with details discussed during the interview

Senior / Staff Level 

Location: Remote | Full-Time 

About Kooltra 

Kooltra is a Canadian fintech company building FX infrastructure and cross-border payment technology for banks and financial institutions. With over a decade in market and a growing footprint in North America, we are now accelerating our US expansion and undertaking a fundamental shift toward an AI-first development and delivery model. 

To fuel that shift, we need Platform Engineers to invest in our platform and transform how we implement customers. 

About the Role 

We’re looking for a Platform Engineer who lives and breathes clean architecture and believes that a well-designed domain model is the foundation of everything great in software. You’ll own and evolve our core platform layer—the expressive, domain-driven backbone that powers our suite of financial products and enables third-party applications, services, and UIs to build on top of it with confidence. 

This is a high-leverage role. The platform you shape will be the surface that internal teams, external integrators, and next-generation AI agents interact with. You’ll design APIs and event contracts that are intuitive enough for a developer to pick up in minutes and robust enough to handle complex financial workflows at scale. 

Developer experience is at the heart of this role. You believe that a platform is only as good as how it feels to build on, and you’re obsessed with making the developer journey—from onboarding to production—effortless and delightful. You’ll craft expressive APIs, self-documenting domain models, and tooling that lets internal teams and third-party developers move fast with confidence. 

You’re excited about AI—not as a buzzword, but as a force multiplier. You see the convergence of great developer experience and AI as the next frontier: a platform where AI agents can discover capabilities, reason about domain events, and execute complex financial workflows through the same intuitive surface that human developers use. You want to build an AI-first developer experience—one where the platform is as legible to an autonomous agent as it is to a senior engineer reading the docs for the first time. 

What You’ll Do 

• Iterate and extend an expressive, domain-driven platform layer that serves as the integration surface for internal products, third-party applications, and AI-powered services. 

• Own the end-to-end developer experience on the platform—from SDK design and API ergonomics to documentation, error messages, and onboarding flows—ensuring every touchpoint is intuitive and productive. 

• Pioneer an AI-first developer experience where platform capabilities are discoverable, composable, and structured for consumption by both human developers and AI agents. 

• Define and enforce clean bounded contexts, aggregates, and domain events that model complex financial operations with precision and clarity. 

• Architect event-driven systems using Kafka to enable loose coupling, auditability, and real-time reactivity across the platform. 

• Build and maintain microservices in Kotlin, ensuring each service has a clear domain responsibility and well-defined contracts. 

• Champion test-driven development as a design discipline—not just a quality gate—driving clean, modular, and refactorable code. 

• Design platform APIs, SDKs, and event schemas with a relentless focus on developer experience—self-describing, well-typed, and structured so that AI coding assistants and autonomous agents can reason about and invoke them naturally. 

• Build developer tooling, templates, and golden paths that reduce friction and accelerate time-to-first-integration for both human developers and AI-driven workflows. 

• Operate and optimize services on Kubernetes (EKS) and AWS, making pragmatic infrastructure decisions that balance developer experience with operational reliability. 

• Model and manage data in MongoDB with thoughtful schema design that aligns with domain boundaries and supports evolving query patterns. 

• Collaborate closely with product, compliance, and integration teams to translate complex financial and regulatory requirements into elegant platform abstractions. 

• Continuously evaluate and integrate AI-assisted development tools and patterns into the team’s workflows, raising the bar for what’s possible. 

What You Bring 

• Deep experience building platform layers or shared service foundations in an enterprise or B2B SaaS environment, with a track record of enabling third-party integrations and external developer experiences. 

• Strong command of Domain-Driven Design in practice—bounded contexts, aggregates, domain events, anti-corruption layers—not just theory. 

• Proven ability to design and operate event-driven architectures with Kafka, including schema evolution, exactly-once semantics, and event sourcing patterns. 

• Proficiency in Kotlin and TypeScript, with an emphasis on clean, well-tested, and maintainable code. 

• Hands-on experience with Kubernetes (preferably EKS), containerized microservices, and AWS cloud infrastructure. 

• Solid MongoDB experience including schema design, indexing strategies, and performance optimization aligned with domain models. 

• A test-driven development mindset where tests shape design, not just verify behavior. 

• Strong opinions on clean code and architecture, held loosely and communicated clearly—you make the codebase better every time you touch it. 

• A passion for developer experience as a discipline—you’ve designed APIs, SDKs, or platform tooling with the consumer’s experience as the primary design constraint, and you measure success by how quickly someone can go from zero to productive. 

• Genuine enthusiasm for AI and its potential to transform how platforms are built and consumed. You follow developments in AI agents, function calling, MCP, and autonomous systems and think about how platform design enables or constrains them. You’re energized by the idea of building a platform that AI can use as fluently as a human developer. 

• Excellent communication skills and the ability to articulate complex architectural decisions to both technical and non-technical stakeholders. 

Nice to Have 

• Background in fintech, payments, FX, treasury operations, or regulated financial services. 

• Experience designing APIs or event contracts consumed by AI agents or LLM-based systems, including function calling schemas, tool-use patterns, or MCP server implementations. 

• Track record of building internal developer platforms, developer portals, or self-service tooling that measurably improved developer velocity. 

• Familiarity with compliance frameworks (SOC 2) and how they influence platform design. 

• Contributions to open-source projects or developer tooling. 

• Experience building multi-tenant platforms that serve diverse institutional clients. 

Why This Role Matters 

The platform layer is the highest-leverage code in the company. It’s what makes every product team faster, every integration cleaner, and every AI capability possible. You won’t be building features in isolation—you’ll be shaping the foundation that everything else is built on, and defining what it feels like to build on that foundation. If you believe that great developer experience is an act of empathy, that the best platforms are the ones that disappear into simplicity, and that AI-first design is the future of how platforms are consumed—we’d love to talk. 

Koscom Networks is a growing U.S.-based telecommunications company specializing in fiber optic and telecommunications network construction. We are looking for a proactive and organized HR Assistant / Junior HR to join our team and support our HR processes and employees.

What you’ll do:

• Support employee onboarding and offboarding processes
• Prepare and organize HR documents, job offers, agreements, and other documentation
• Maintain and update employee information and HR databases
• Respond to employees’ HR-related questions and help resolve day-to-day requests
• Assist with preparing information for payroll and HR reports
• Help coordinate performance reviews and other HR processes
• Support the HR team with daily administrative tasks and internal communications
• Help improve and organize HR processes as the company continues to grow

What we’re looking for:

• 6+ months of experience in HR, recruitment, HR administration, or a related field
• B2 level of English
• Strong communication and organizational skills
• Attention to detail and ability to work with documents and data
• Proactive attitude and a strong desire to develop in HR
• Ability to manage multiple tasks at the same time
• Good knowledge of Google Workspace / MS Office
• Experience with HR systems, ATS, CRM, or similar tools is a plus

What we offer:

• Opportunity for professional growth within the HR team with the potential to progress to an HR Manager role
• Experience working for an international U.S.-based company
• Support and mentorship from experienced HR professionals
• Hands-on experience with onboarding, payroll, and other HR processes
• A dynamic and friendly team
• Remote work
• Competitive salary + performance-based bonuses

About Koscom Networks

Koscom Networks is a growing company with teams working across multiple U.S. states. We value initiative, responsibility, teamwork, and continuous professional development.

If you want to start or develop your career in HR and gain hands-on experience in an international company, we’d love to hear from you!

We're looking for an Intern/Junior FullStack Developer to join our team and help us build our own products and client products.

Requirements

• Hands-on experience with at least one of: React Native, React, Next.js, or Nest.js
• Solid JavaScript/TypeScript fundamentals
• Understanding of how frontend and backend talk to each other (REST, auth, databases)
• Git and basic teamwork practices
• Ability to take a task and bring it to a working result
• English — Intermediate or higher

We expect developers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.

You should be comfortable using AI for:

• writing and refactoring code;
• debugging;
• writing tests;
• shipping features faster without losing quality.

Nice to have

• Ability to build a full-cycle system or product from scratch — big plus
• Own products or pet projects you can show
• Experience across both mobile and web
• Deployment basics: CI/CD, hosting, environments

What you'll do

• Develop features for our own products and client projects
• Work across the stack — frontend, backend, and everything in between
• Turn rough ideas into working prototypes and then into production features
• Use AI-assisted development tools as part of your daily workflow
• Participate in code reviews and learn from the team

What we offer

• Competitive compensation
• Mentorship and a fast learning curve on real products
• Flexible working hours
• Freedom to propose ideas and build things end-to-end
• Small team with quick decision-making and minimal bureaucracy

Remote | Full-time | $1,800–2,500/month

We are looking for a Middle QA Engineer to join a newly forming technical team working on existing web-based CRM and trading platform products.

This is a combination of Manual and Automation QA.

We are currently building a structured QA process from the ground up, so we are looking for someone who can not only test assigned tasks but also help establish practical testing processes, documentation, regression coverage, and automation.

Previous experience in FinTech, Forex, CFD, or trading is not required. We will provide product-specific onboarding and explain the business logic.

What you will work with

The main products are:

• Web-based CRM system
• Web-based CFD/trading platform
• Desktop and responsive/mobile web interfaces
• REST APIs and third-party integrations
• Real-time functionality
• Multiple environments, including staging and production

You will be testing existing functionality, bug fixes, improvements, and new functionality.

Responsibilities

• Perform manual functional, regression, smoke, and exploratory testing
• Test bug fixes and new functionality before release
• Verify fixes after deployment to production
• Reproduce reported production issues using provided test data and scenarios
• Compare behavior between staging, current production, previous/alternative production environments when required
• Investigate frontend issues using browser DevTools, including Console and Network
• Analyze requests, responses, API behavior, browser errors, and other technical information needed to identify issues
• Test REST APIs and third-party integrations when required
• Create and maintain test cases, checklists, and regression scenarios
• Build a structured QA process from scratch together with the team
• Introduce and maintain automated regression testing for critical functionality
• Identify which scenarios should be automated and propose an appropriate automation approach
• Perform smoke testing after deployments
• Work closely with the Project Manager and Full-Stack Developers
• Gradually build strong knowledge of the product and its business logic
• Keep QA documentation practical, understandable, and up to date

Requirements

• 2+ years of commercial QA experience
• Strong Manual QA fundamentals
• Commercial experience with test automation
• Understanding of web application architecture
• Good knowledge of browser DevTools
• Experience testing REST APIs
• Understanding of HTTP requests/responses, status codes, cookies, sessions, authentication, etc.
• Experience creating test cases, checklists, and regression suites
• Understanding of regression, smoke, functional, and exploratory testing
• Ability to reproduce and investigate complex issues rather than only verify predefined scenarios
• Ability to work with an existing product where documentation may initially be limited
• Git/GitHub familiarity
• English — Intermediate or higher
• Ability to work independently after the onboarding period

Experience with database/SQL testing is a plus but is not mandatory.

Experience with trading or FinTech products is not required.

Automation

We do not require one specific automation framework.

We are looking for someone who understands automation principles and can evaluate the existing product, propose an appropriate approach, and gradually build automated regression coverage for critical functionality.

Experience with tools such as Playwright, Cypress, Selenium, or similar frameworks is welcome.

What we expect during the first months

During the first 1–3 months, you will receive onboarding and product-specific guidance.

We do not expect you to understand the complete CRM and trading logic immediately.

After the onboarding period, we expect you to:

• Understand the core functionality of the CRM and trading platform
• Independently reproduce most reported issues
• Understand where and how to investigate a problem
• Recognize possible dependencies between different parts of the system
• Maintain regression coverage
• Communicate clearly with developers and the Project Manager
• Become increasingly independent in planning and executing testing

Working conditions

• Fully remote
• Full-time
• Working hours: 09:00–18:00 GMT+3 / 10:00–19:00 GMT+4
• Monday–Friday
• No night or weekend on-call requirements
• Probation/onboarding period: 1–3 months
• Compensation: $1,800–2,500/month, depending on experience and technical level
• Long-term cooperation
• English: Intermediate or higher

Important

We are currently forming a new technical team and establishing development and QA processes.

This role is best suited to someone who is comfortable joining an existing, complex product, learning its logic, asking the right questions during onboarding, and then becoming increasingly independent.

We value reliability, clear communication, ownership, attention to detail, and the ability to investigate a problem instead of simply following a predefined checklist.

We do e-com, we own a few brands and look to achieve bigger ad volume. We have a team of 17 people, 5 of them video editors. We are looking to expand. You will be assigned as an assistant to one of the experienced editors until you learn the ways and become a senior editors yourself. You need to have experience in direct response advertising and be a positive person.

We're Dream LLC (US, Wyoming) we do ecommerce. Main brand is heroslash.co, #1 in the world in the space, ensuring everyone's paid well. We have smaller stores like lieanhaug.com where we look to hire editors to create more ads.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client

Our client is developing technology to make industrial environments safer and reduce the risk of accidents through proactive monitoring.

The Ukrainian engineering team is building a next-generation industrial safety platform combining Computer Vision, Machine Learning and IoT.

About the role

We are looking for a Middle Systems / Software Engineer to work on the performance-critical core of a real-time Computer Vision platform.

This is not a typical Python Backend role. The main challenge is building and optimising the systems underneath the CV/ML engines — where performance depends on memory, processes, concurrency, data movement, CPU/GPU utilisation and low latency.

You will work on the runtime that executes CV pipelines as a graph of processing stages, with latency measured in milliseconds. You will deal with shared memory, zero-copy data transfer, inter-process communication and process orchestration.

What matters most to us

We are open to engineers coming from C++, Python, Go or similar backgrounds.

The programming language itself is not the main selection criterion. What matters much more is a strong systems engineering mindset and experience understanding what is happening inside a system.

For example, we are particularly interested in engineers who have worked with problems such as:

• reducing unnecessary memory copies;
• optimising CPU/GPU utilisation;
• investigating latency spikes and performance bottlenecks;
• working with processes, threads and concurrency;
• debugging race conditions and difficult low-level issues;
• profiling applications and identifying bottlenecks;
• designing efficient data-processing pipelines;
• working with large amounts of data moving through several processing stages;

• optimising algorithms or runtimes for performance.

   

A candidate does not necessarily need to have worked with exactly the same technologies before.

For example, experience with CUDA, C++, GPU optimisation, real-time processing, robotics, computer vision, video pipelines, scientific computing or other performance-sensitive systems can be highly relevant.

What you’ll work on

• Collaborate with CV/ML engineers to turn model inference code into reliable production pipeline stages.
• Develop and optimise the core Pipeline Engine — an in-process, real-time runtime executing the CV pipeline as a graph of stages.
• Work with zero-copy shared-memory pools for passing frames between processes.
• Develop and optimise low-latency ZeroMQ communication for control messages, metadata and synchronisation.
• Work with pipeline metadata and serialisation boundaries.
• Analyse and improve CPU, memory and latency performance.
• Profile, debug and troubleshoot complex runtime issues.

• Contribute to the architecture and evolution of the real-time processing infrastructure.

   

Requirements

Must-have

• Commercial experience as a Software Engineer / Systems Engineer / C++ Engineer / Python Engineer or similar.
• Strong systems engineering mindset and understanding of:
  • processes and concurrency;
  • memory ownership and data movement;
  • latency vs throughput trade-offs;
  • performance bottlenecks;
  • profiling and debugging;
  • failure modes of complex systems.
• Experience working with performance-sensitive or latency-sensitive systems.
• Experience with at least one of C++, Python, Go or a similar programming language.
• Python is used in the platform, but it does not need to be your primary language. Strong C++ / systems experience is equally relevant.
• Solid Linux fundamentals.

• Solid experience with Docker and containerised environments.

   

Nice-to-have

• CUDA, including IPC handles and stream synchronisation.
• C/C++ or Go.
• OpenCV.
• GStreamer, FFmpeg or RTSP.
• ZeroMQ.
• Shared memory / zero-copy architectures.
• FlatBuffers or other binary serialisation formats.
• Experience building or operating camera/video pipelines.

What we offer

• Competitive compensation.
• Benefits package.
• Strong engineering team.
• Opportunity to work on challenging real-time Computer Vision infrastructure.
• Meaningful industrial safety use case.
• Technical challenges and opportunities for professional growth.

We are looking for an experienced Salesforce Architect to join our team on a full-time basis. In this role, you will be responsible for designing and delivering scalable, secure, and high-performing Salesforce solutions that support business objectives. You will work closely with stakeholders, developers, and global teams across multiple Salesforce Clouds

What you will do

• Design end-to-end Salesforce solution architectures with a strong focus on scalability, security, and performance;
• Collaborate with business stakeholders to analyze requirements and translate them into technical and architectural solutions;
• Work closely with Business Analysts during pre-sales and discovery phases, contributing technical expertise to shape optimal solutions and support well-informed decision-making;
• Participate in discovery sessions with clients to better understand business challenges and help define future-state solutions;
• Define technical strategies and select the most appropriate implementation approaches (declarative vs. programmatic);
• Lead and oversee development of Apex, Lightning Web Components (LWC), Flows, triggers, and integrations when required;
• Architect and manage integrations with third-party systems using REST / SOAP APIs;
• Ensure solutions follow Salesforce best practices, architectural standards, and security guidelines;
• Support data migration, automation, and system optimization initiatives;
• Define and maintain CI/CD pipelines, DevOps processes, and deployment strategies;
• Provide technical leadership, guidance, and mentorship to Salesforce Developers;
• Stay up to date with Salesforce platform releases and recommend innovative improvements

We are looking for

• 5+ years of hands-on experience with Salesforce as a Developer and/or Architect;
• Strong expertise in Salesforce architecture and experience with multiple Salesforce Clouds (Sales, Service, Marketing, etc.);
• Advanced knowledge of Apex, LWC, Visualforce, SOQL, Flows, and APIs (REST/SOAP);
• Proven experience designing scalable solutions and complex system integrations;
• Solid understanding of Salesforce security model, data modeling, and performance optimization;
• Experience with CI/CD, DevOps tools, and Salesforce deployment strategies;
• Salesforce certifications (Application Architect, System Architect, Technical Architect) are a strong advantage;
• English proficiency at C1 level (written and spoken);
• Ability to work independently and collaborate effectively within distributed teams.