Jobs

About the Role:

• We are modernizing legacy line-of-business applications into scalable, cloud-native platforms using .NET 10, ASP.NET Core, and Microsoft Azure.

• Legacy source systems may include ASP.NET Web Forms, MVC, WCF, WinForms, classic ASP, and older .NET Framework applications. The goal is to transform them into modern, secure, and maintainable solutions running on Azure.

• The successful candidate will work on incremental modernization initiatives using the Strangler Fig migration approach, replacing legacy modules with modern components while ensuring production stability.

Key Requirements:

• 5+ years of experience with C#, .NET Framework, and modern .NET 6/8/10 development

• Hands-on experience with legacy technologies such as ASP.NET Web Forms, ASP.NET MVC, WCF, WinForms, or classic ASP

• Strong expertise in ASP.NET Core (MVC, Razor Pages, Minimal APIs, Blazor)

• Experience with Entity Framework Core, LINQ, dependency injection, and async/await

• Solid knowledge of SQL Server / Azure SQL, T-SQL, indexing, and query optimization

• Practical experience with Azure services including App Service, Azure SQL, Blob Storage, Key Vault, Managed Identity, and Azure Functions

• Experience using AI-assisted development tools such as GitHub Copilot, Claude, or ChatGPT

• Strong understanding of software engineering best practices, testing, Git workflows, and secure coding principles

• Ability to collaborate effectively with DevOps, QA, and product teams in an agile environment

• Excellent problem-solving and communication skills

Key Responsibilities:

• Analyze existing legacy applications and design modernization strategies for migration to .NET 10

• Migrate legacy UI components to Razor Pages, Blazor, and modern ASP.NET Core patterns

• Refactor legacy data access layers to EF Core 10 with code-first migrations and repository patterns

• Replace legacy authentication systems with ASP.NET Core Identity or Microsoft Entra ID

• Develop and maintain REST APIs using modern ASP.NET Core architecture and best practices

• Implement background processing and scheduled tasks using Azure Functions and Durable Functions

• Integrate solutions with Azure services such as Azure SQL, Blob Storage, Key Vault, Application Insights, and Service Bus

• Write and maintain unit, integration, and end-to-end tests using xUnit, NUnit, Playwright, or Selenium

• Leverage AI coding assistants to accelerate migration, refactoring, documentation, and testing activities while ensuring code quality and security

• Monitor, troubleshoot, and optimize applications using Application Insights, structured logging, and KQL queries

• Work closely with DevOps and QA teams on CI/CD pipelines, deployment readiness, environment management, and test automation.

Technical Skills:

• .NET Framework, .NET 6/8/10, C# (latest language features)

• ASP.NET Core, Razor Pages, Minimal APIs, Blazor

• Entity Framework Core, LINQ, dependency injection, async/await

• HTML5, CSS3, JavaScript (ES6+), TypeScript

• React, Angular, or Blazor experience

• SQL Server, Azure SQL, stored procedures, query tuning

• Azure App Service, Azure Functions, Blob Storage, Key Vault, Managed Identity

• Application Insights, Log Analytics, KQL

• GitHub Copilot, Claude, ChatGPT, AI-assisted development workflows

• Git, pull request reviews, trunk-based or GitFlow workflows

Nice to Have:

• Experience with Web Forms to Razor Pages or Blazor migrations

• Knowledge of Strangler Fig modernization patterns

• Experience with Durable Functions and event-driven Azure services

• Containerization using Docker or Azure Container Apps

• Knowledge of OAuth 2.0, OpenID Connect, and Microsoft Entra ID

• Performance profiling and diagnostics tools

• Experience in government, procurement, or enterprise modernization projects

Soft Skills:

• Strong analytical and problem-solving mindset

• Ability to balance modernization with business continuity

• Comfortable working in hybrid legacy and modern environments

• Excellent written and verbal communication skills

• Collaborative approach with cross-functional teams

• Mentorship mindset and willingness to support junior developers

• Focus on incremental, maintainable, and low-risk delivery

We're partnered with an AI company that cleans up and enriches messy product data (PDFs, spreadsheets, images, CAD files) turning it into clean, marketplace-ready catalogs for brands and retailers selling on Shopify, Amazon, Walmart, and large PIM/ERP systems. We're helping the company bring on a few more engineers – one of the positions is this Data Scientist one.

Stack: Python / FastAPI on the backend, React / Next.js on the frontend, LLMs throughout. 

Engagement: Full-time, fully remote.

=====

You'll own the ML that powers the enrichment, classification, and validation pipelines — the core of the product. Real data, large scale, noisy inputs, a lot of LLM work alongside classical ML.

What you'll do

• Build classification, extraction, and enrichment models over product data (text, images, metadata)
• Design and ship LLM pipelines – RAG, extraction, validation – in production, not just notebooks
• Run experiments and build evaluation frameworks you actually trust
• Work with engineering to deploy models, not hand them off

We're looking for

• 4-7+ years in data science / ML
• Strong Python (pandas, sklearn, PyTorch, TensorFlow, etc)
• Real experience with LLMs, NLP, CV
• Solid instincts on model evaluation and data quality
• You've worked on messy real-world data and know how to handle it
• You're comfortable working with a significant overlap with the US Pacific Time
• Your conversational English is strong (you will be speaking with your teammates daily)

Nice to have

• Product / catalog / e-commerce data experience
• Experience with vector DBs, embeddings, RAG in production

We are looking for a Senior Data Engineer to join our growing team. In this role, you will help build and scale modern data infrastructure and pipelines that power analytics, business intelligence, product insights, and operational decision-making across our omni-channel commerce platform.
 

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines and infrastructure across cloud environments.
• Develop and manage ETL/ELT workflows to ingest, transform, and load data from multiple sources into data warehouses and data lakes.
• Partner closely with product, engineering, analytics, and business teams to ensure trusted, accessible, and timely data across the organization.
• Optimize data storage, modeling, and query performance to support reporting, analytics, and operational use cases.
• Build and maintain batch and real-time data processing systems using modern tools and frameworks.
• Improve data reliability and quality by implementing monitoring, validation, alerting, and observability practices.
• Support deployment, scalability, and orchestration of data workloads using containerization and workflow automation tools.
• Implement and maintain CI/CD pipelines for data workflows and infrastructure.
• Ensure data governance, privacy, and security standards are upheld across all data systems.
• Contribute to architecture decisions, code reviews, documentation, and best practices for data engineering.
• Stay current with emerging technologies and best practices in data engineering to continuously improve platform capabilities.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain technical concepts to non-technical stakeholders and collaborate effectively across teams.
• Proven experience as a Data Engineer, with strong hands-on experience building and managing production-grade data pipelines.
• Strong proficiency with cloud platforms such as AWS and/or Azure, including modern data services.
• Experience with Python and strong SQL skills for data transformation, automation, and analysis.
• Experience with distributed data processing and streaming technologies such as Apache Spark, Kafka, or similar tools.
• Familiarity with workflow orchestration tools such as Airflow, DBT, or equivalent.
• Experience with data warehousing and lakehouse technologies such as Snowflake, Redshift, BigQuery, Databricks, or similar platforms.
• Solid understanding of ETL/ELT design patterns, data modeling, and data architecture best practices.
• Experience with Docker, Kubernetes, or other containerization and orchestration technologies.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra.
• Experience with version control systems such as Git.
• Strong problem-solving skills and a proactive approach to performance optimization, troubleshooting, and continuous improvement.

Preferred Qualifications

• Experience with data governance, security, and privacy best practices in cloud environments.
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.
• Experience supporting analytics, machine learning, or reporting use cases with well-structured data systems.
• Knowledge of BI and visualization tools such as Power BI or Tableau.
• Previous experience working in agile, cross-functional product and engineering teams.
• Experience in retail, e-commerce, omni-channel commerce, or POS platforms is a strong plus.

Why PredictSpring?

• Join a category-leading company transforming the future of retail and omni-channel commerce.
• Work with innovative technology powering seamless online and in-store customer experiences.
• Collaborate with a talented, global team in a flexible remote work environment.
• Enjoy opportunities for professional growth and career development.
• Make a direct impact on products used by some of the world’s most recognized retail brands.
• Be part of a fast-moving, collaborative, and customer-focused culture at the forefront of commerce innovation.

We are looking for an experienced Senior Data Scientist to join our team and help unlock the full value of data across our platform, products, and business operations. In this role, you will apply advanced analytics, machine learning, and statistical modeling to generate actionable insights, improve decision-making, and drive innovation across the organization.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and insights that support strategic business and product decisions.
• Build predictive models to forecast business outcomes, improve operational efficiency, and support decision-making across multiple functions.
• Design and implement feature engineering techniques to improve machine learning model performance and accuracy.
• Partner with cross-functional teams including product, engineering, operations, and business stakeholders to identify opportunities and translate them into scalable data science solutions.
• Clean, preprocess, and structure data from multiple sources to ensure high-quality inputs for analysis and modeling.
• Develop, test, and deploy machine learning models for use cases such as classification, regression, clustering, recommendation systems, and forecasting.
• Evaluate and optimize model performance using appropriate statistical and machine learning metrics.
• Create dashboards, reports, and visualizations that clearly communicate findings and recommendations to technical and non-technical audiences.
• Automate recurring analysis, reporting, and model workflows to improve efficiency and consistency.
• Monitor production models and continuously improve performance, reliability, and business impact over time.
• Stay current with the latest advancements in data science, machine learning, and AI, and apply relevant innovations to PredictSpring’s platform and operations.

Requirements

• Excellent communication skills, including fluent verbal English, with the ability to explain complex concepts to non-technical stakeholders and collaborate effectively across teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist, with a strong background in machine learning, statistical analysis, and predictive modeling.
• Strong programming skills in Python preferred, or similar languages such as R, with hands-on experience using libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Expertise in building and deploying machine learning models for classification, regression, time-series forecasting, recommendation systems, and related applications.
• Strong experience with data wrangling, feature engineering, and working with structured and unstructured datasets.
• Proficiency in SQL for querying, transforming, and analyzing structured data.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data workflows.
• Experience with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
• Strong analytical thinking, problem-solving ability, and a passion for applying data science to real-world business challenges.

Preferred Qualifications

• Familiarity with big data and distributed processing tools such as Apache Spark, Hadoop, or Databricks.
• Experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Experience with natural language processing techniques such as text classification, sentiment analysis, or large language model applications.
• Strong foundation in statistical analysis, experimentation, and hypothesis testing.
• Experience collaborating with or supporting data engineering teams in building scalable data pipelines.
• Familiarity with version control tools such as Git.
• Strong business acumen and the ability to align technical solutions with business goals.
• Experience in retail, e-commerce, omni-channel commerce, or POS technology is a strong plus.

Why PredictSpring?

• Join a market-leading company shaping the future of omni-channel retail and modern POS.
• Work on high-impact challenges at the intersection of commerce, data, and customer experience.
• Collaborate with a talented global team in a flexible remote work environment.
• Enjoy opportunities for growth, learning, and professional development.
• Contribute to products used by some of the world’s most recognized retail and lifestyle brands.
• Be part of an innovative, collaborative, and data-driven culture focused on delivering measurable business value.

CapsLock is a dynamic, global IT marketing company that pioneers unique, scalable customer acquisition solutions for B2C clients. We combine deep expertise in IT, design, and data analytics, enabling us to tackle the most complex sales challenges across a wide range of industries—primarily for large North American partners. By seamlessly integrating digital marketing services, AI-based predictive analytics, proprietary MarTech products, and sales consulting, we deliver powerful, data-informed customer acquisition solutions.

This role offers a unique opportunity to work at the forefront of generative AI integration and product development. Reporting directly to our IT Director, you will be the primary catalyst driving our company's AI transformation, identifying cutting-edge opportunities, and architecting autonomous AI agents. You'll be in charge in shaping AI-powered solutions while collaborating with a skilled technical team (Development, DevOps, Design and QA). If you're passionate about applying generative AI technologies and creating innovative products, this position provides an exciting platform for your expertise and creativity.

Responsibilities

• Develop AI Agents
• Architect, build, and deploy autonomous and semi-autonomous AI agents to streamline complex workflows.
• Integrate generative AI Providers.
• Combine different AI solutions and providers to create comprehensive and efficient AI systems.
• Design and implement architecture.
• Design and contribute to the architecture of AI systems, ensuring scalability, reliability, and performance.
• Designing data structures and data management.
• Collect, preprocess, and analyze data to ensure high-quality inputs for AI models.
• Write surrounding code.
• Develop the necessary code to support AI models, ensuring seamless integration with existing systems and infrastructure.
• Monitor, maintain and optimize solutions.
• Continuously monitor the performance of AI products and systems, making necessary adjustments to improve accuracy and efficiency.
• Directly collaborate with multiple departments in our company.
• Work closely with engineers, product managers, and other stakeholders to identify business problems and develop AI-driven solutions.
• Create technical documentation.
• Produce comprehensive technical documentation for AI systems, including system architecture, model specifications, data flows, and testing procedures.
• Develop Quality Assurance procedures.
• Create and implement QA processes specifically tailored for AI systems, including data validation, model testing, and performance evaluation.
• Stay updated.
• Keep abreast of the latest AI technologies, trends, and best practices to ensure the company remains at the forefront of AI innovation.
• Security Awareness.
• Understanding of security best practices in AI system development and deployment.

Skills & Background:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Existing experience in developing and implementing solutions based on generative AI models.
• Proven track record of developing functional AI agents and identifying transformation opportunities.
• Proficiency in any programming language. Experience with modern AI stacks (e.g., Python, TypeScript) is highly preferred.
• Familiarity with existing AI providers (OpenAI, Google, Anthropic, xAI, etc.).
• Understanding of modern Image generation models (e.g., Stable Diffusion, DALL-E 3, Adobe Firefly) and Video generation models (e.g., Runway Gen-3, Pika Labs, OpenAI Sora, Google Veo).
• Hands-on experience with Agentic frameworks (e.g., LangChain, AutoGen) and RAG.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Fluent in English language.

Nice to Have:

• Experience with project management Agile methodologies such as Kanban or Scrum.
• Knowledge of AI ethics and techniques to mitigate bias in AI models.
• Master's or Ph.D. in Computer Science.
• Familiarity with cloud-native architectures and container orchestration (e.g., Kubernetes, Docker).

🚀 About Kilona.io

At Kilona.io, we build high-quality, high-speed web and mobile AI applications. We work with top global startups to create cutting-edge products that are fast, precise, and beautifully engineered. 

The project focuses on building and scaling mobile applications with strong backend logic, product analytics, and attribution systems. We need someone who is comfortable not only with React Native development, but also understands backend processes and mobile analytics integrations like AppsFlyer, PostHog, and Amplitude.

✅ Requirements

• 2+ years of hands-on experience with React Native (Expo OR CLI)
• Practical experience working with Node.js (Express.js)
• Experience with REST APIs and integrating databases (e.g., PostgreSQL, MongoDB, Firebase, Supabase, AWS DynamoDB, etc.)
• Good communication skills in English (B2 level or higher)
   

✨ Nice to have

• Experience with mobile app deployment (App Store, Google Play)
• Understanding of CI/CD pipelines for mobile apps
• Experience using AI-powered dev tools (e.g. ChatGPT, Cursor AI, Lovable, V0) to speed up development
   

🧑‍💻 Working Conditions

• Hourly-based payment model (overtime is always paid)
• Fully remote — work from anywhere
• Flexible schedule — we appreciate team overlap but you manage your own time
• Easy time-off policy — take days off when you need, no bureaucracy
• Work on cutting-edge AI products in a fast-paced and supportive environment

🔍 Hiring Process

1. Video intro OR Quick screening call (20 - 30 mins)
2. Technical interview (up to 1 hour)
3. Final interview (optional)
4. Offer 🎉

Interested? Let’s talk! 📨 Drop us a message — we’re always open to meeting like-minded people.

About the role

You will be a Core Developer in our product team, taking charge of developing and scaling our mobile product. This is a high-impact position where you’ll be involved in the entire product lifecycle: from building core product features and modern UIs to designing a reliable, fast, and efficient infrastructure around it. You’ll work directly day-to-day with the General Manager and have a clear, measurable impact on the product’s unit economics.

Technical stack: AI-driven Engineering, Flutter, Node, TS, React.

We are open to candidates with no prior Flutter experience.

What you need for this position

• You’re an AI-augmented engineer. You actively use tools like Copilot, Cursor, or Claude to speed up your routine, refactor efficiently, and solve problems faster.
• At least 5 years of hands-on experience as a Software Engineer (designing & developing both mobile (primarily) and web applications).
• You communicate openly and feel comfortable in a fast-paced agile team where things can change rapidly.
• You’re a truly product-oriented engineer. You don’t just write code in a vacuum — your technical decisions are always driven by real product and engineering metrics, keeping business goals in mind.
• You can solve product and business problems end-to-end completely solo. You know how to take a high-level problem description and turn it into an efficient, working engineering solution without needing someone to hold your hand.
• Familiarity with Google Cloud Platform, particularly Firebase services including Firestore, Storage, and Performance, as well as experience with Firebase Flutter SDK, Bloc, and Hive storage.
• Hands-on experience building backend (Node.js and Lambda preferred). We value any strong backend background; if you haven’t used our specific stack, we expect you to bridge the gap using AI tools and a high “speed of learning” to ship production-ready code.

What You’ll Be Doing

• Design, build, and maintain mobile app and its infra using Flutter and a Node.js backend. Develop and optimize web-frontend (marketing funnels).
• Leverage AI tools (Cursor, Copilot, etc.) to accelerate development, refactor code, and maintain high code quality.
• Take an active role in product management: monitoring how users interact with your features and identifying areas for improvement. You will analyze user flow through marketing funnels, identifying drop-off points and technical bottlenecks that affect conversion. You won’t just wait for tasks; you’ll proactively suggest tech improvements based on data insights.
• Design and implement A/B tests to validate hypotheses, working closely with the product team to optimize core metrics.
• Build a robust, scalable infrastructure.
• Work directly with the General Manager and marketing team to align engineering efforts with business growth and scalability.

Hiring Process

Stage 1: Interview with HR (1h).

Stage 2: Interview with VP of Engineering.

Stage 3: Technical interview.

Stage 4: Interview with the team.

What we offer for your success

• Very warm and friendly working environment and flexible working schedule.
• 20 days off + paid national holidays, and 12 sick days paid by the company per year.
• Medical insurance, and health protection programs (with COVID-19 and dental coverage).
• Continuous professional development and growth opportunities.

Aden — precision medicine platform. We build a digital twin of each user from their health data and generate personalised health protocols via predictive modelling. Dual-entity structure (UAE + Ireland). Backed, growing, and entering Dubai and EU markets in 2026. You'll be the first designer on the team — shaping both product and brand from the ground up.
 

ROLE
We need a sharp, self-directed product designer who can own the full design layer of Aden — from information architecture and UX flows through to polished high-fidelity UI. The core challenge: making complex health data feel intuitive, trustworthy, and beautiful for everyday users and clinicians alike.

You'll work directly with the CEO. No design manager, no bureaucracy — real ownership from day one.
 

RESPONSIBILITIES
- Own product design end-to-end — user onboarding, health data input flows, personalised protocol dashboards, clinician views
- Build and maintain a Figma design system — components, tokens, patterns that scale
- Design clear, accessible data visualisations for biomarker and health trend data
- Design across web and mobile, maintaining visual and UX consistency
- Run lightweight user research and usability testing to validate design decisions
- Work closely with engineering on handoff — specs, assets, QA
 

REQUIREMENTS
- 3+ years product design experience — health tech, medtech, or data-heavy product preferred
- Strong Figma — components, auto-layout, prototyping, design tokens
- Portfolio showing full product work: flows, decisions, iteration — not just visuals
- Proven ability to make information-dense UIs feel clean and usable
- Comfortable in an early-stage startup — you own things without being told twice
- Strong English — direct communication with the founder
 

NICE TO HAVE
- Branding experience — visual identity, brand guidelines, logo, typography system. We're building Aden's brand in parallel and this is a genuine bonus
- Data visualisation design (biomarker trends, health dashboards)
- Accessibility knowledge (WCAG 2.1)
- Basic HTML/CSS — helps with handoff quality
- Familiarity with EU or UAE health tech design conventions

TAGS: Figma · UI Design · UX Design · Product Design · Design Systems · Data Visualisation · Branding · Mobile Design · Healthcare
 

OFFER
- $3,000–$4,000/mo depending on seniority (B2B contractor)
- Part-time to start (20–30 hrs/week), path to full-time
- Equity discussion for the right long-term fit
- Async-first, flexible hours — EET timezone overlap preferred
- Work directly with the founder — real ownership, real impact
 

TO APPLY
Respond in English. Share your portfolio and tell us briefly: what's a product or design you're most proud of, and what was your specific contribution? 3–5 sentences max. No templates — we read every application ourselves.

Our client US based IT product company is looking for Middle AI/Backend Developer.

Must have:

• Python 3+ yrs - FastAPI, async, Pydantic, SQLAlchemy + Alembic, RQ/APScheduler
• LLM stack - LangChain, LangGraph, LiteLLM, OpenAI API, RAG (chunking, retrieval, reranking)
• ML - PyTorch, Hugging Face Transformers, scikit-learn, NumPy/Pandas
• MongoDB + MQL - aggregation pipelines ($match, $group, $lookup), complex queries - mandatory
• Databases - Redis, PostgreSQL, Qdrant (vector search)
• Cloud/LLM providers - AWS Bedrock, Ollama, OpenAI/Anthropic API
• Docker + Docker Compose (multi-service stacks, GPU images)
• Security - JWT, TLS, HMAC, PII anonymization/pseudonymization
• Protocols - REST, WebSocket, A2A (agent-to-agent), MCP
• Request classifier / intent routing for LLM agents
• Whisper (ASR, speech-to-text integration)

Nice to have: Go, Jenkins, LangFuse, OpenTelemetry, Prometheus/Grafana, RAGAS, Ollama, TensorBoard

Soft skills: self-sufficient, accountable, resilient under pressure, able to own a sub-project end to end.

Real People. Real Impact. One Crazy-Good Team.
Let’s Start With a Hello

We’re not just building a casino — we’re building a product ecosystem focused on retention, monetization, and smart scaling across markets. Backed by a major industry holding, we’re a rapidly growing international online casino brand — and we’re looking for a Bonus/Promo Manager to lead our bonus strategy and directly impact core business metrics.

Who We Are

We’re a fast-scaling iGaming product team with big ambitions and powerful backing. Our mission is to create a next-gen casino experience driven by personalization, player loyalty, and data-led strategy.

Our culture?

• Bold.
• Analytical.
• Product-first.
• Focused on growth — not bureaucracy.

What You’ll Be Doing (Bonus Manager)

• Developing and implementing a unified bonus policy across departments.
• Aligning bonus strategy with product, CRM, marketing, and analytics teams.
• Setting standards for bonus management: eligibility rules, selection criteria, and limits.
• Monitoring execution and continuously optimizing strategy based on data.
• Analyzing promo/bonus performance: LTV, ROI, Retention, ARPU.
• Collaborating with dev, product, and marketing to implement bonus mechanics.
• Contributing to strategies for player motivation, retention, and personalization.
• Researching market trends, analyzing competitors, and bringing in cutting-edge gamification practices.

What Makes You a Great Fit

• Experience in gambling or betting in roles related to bonuses, CRM, marketing, or analytics.
• Deep knowledge of bonus mechanics and retention strategies, with an understanding of their economic impact.
• Ability to calculate campaign performance — from free spins to complex gamified flows.
• Strong analytical mindset: confident with metrics, dashboards, reports, and A/B testing.
• Proven collaboration with product, marketing, and development teams.
• Strong communication and management skills, systems thinking, and a results-first attitude.

What’s In It for You

• A key role in a high-performing product team in the competitive iGaming market.
• Real influence on the product, strategy, and user experience — from concept to scale.
• Professional development support: courses, conferences, trainings.
• Freedom to make decisions, no red tape, fast feedback loops, and true ownership.

Let’s Wrap It Up

If you know how to turn bonuses into business growth and players into loyal fans — we’d love to meet you. Come shape the future of iGaming with us.

At Brainway, we operate as a premier R&D-as-a-service and software startup partner, helping companies scale their technical capabilities with top-tier engineering talent. We are currently searching for a Senior Go Developer to join an innovative, US/Israel-based fintech company as a dedicated outsource developer.

In this role, you will be deeply integrated into the fintech partner's engineering team, taking ownership of complex backend challenges. You will bypass typical bureaucratic layers and report directly to the Technical Manager on the client side, ensuring agile decision-making and clear technical alignment. If you are a self-driven engineer who thrives in taking extreme ownership of scalable backend architectures in a fully remote environment, this is the role for you.

What You Will Do

• Design, develop, and maintain high-performance, scalable, and reliable backend services using Go.
• Work closely with the client's technical leadership and distributed team to align system architecture with business objectives.
• Take full ownership of the software development lifecycle for your services, from technical design and coding to deployment and monitoring.
• Identify and resolve performance bottlenecks, ensuring systems are highly optimized for scale.
• Promote engineering best practices, conduct rigorous code reviews, and help shape the technical culture of the remote team.

What We Are Looking For

• Core Go Expertise: 5+ years of software engineering experience, with a heavy, recent focus on building production-grade backend systems in Go. Deep understanding of Go's concurrency model (goroutines, channels), memory management, and standard library.
• Microservices & API Design: Proven experience designing and implementing microservices. Strong hands-on experience with gRPC and Protocol Buffers (Protobuf), as well as RESTful API development using modern Go routers/frameworks (e.g., Gin, Chi, or Echo).
• Data & Event-Driven Systems: Deep experience with NoSQL databases, specifically MongoDB (using the official mongo-go-driver and handling BSON data), and caching/in-memory data stores like Redis. Proven track record working with message brokers and event streaming platforms like Apache Kafka or RabbitMQ.
• AI-Assisted Development: Practical knowledge and experience integrating AI coding tools (such as Claude Code, GitHub Copilot, or similar agentic solutions) into your daily workflow. You must be able to clearly present and explain the methodologies, workflows, and specific techniques you use to accelerate development and improve code quality.
• Infrastructure & Cloud: Solid familiarity with containerization (Docker), orchestration (Kubernetes), cloud infrastructure (preferably AWS or GCP), and advanced CI/CD pipelines.
• System Design: Deep experience writing maintainable, testable code, combined with a practical understanding of domain-driven design and building highly available, fault-tolerant distributed systems.
• Remote Autonomy & Communication: Excellent English communication skills with the ability to work independently in a remote outsourced model while maintaining tight synchronization with the US/Israel leadership team.

About Us
At Mamma Mia Covers LLC, we don’t just sell home products — we deliver comfort, style, and functionality to every interior. Since 2018, we’ve been building a next-generation home & living brand for the U.S. and Canadian markets as the #1 global distributor and top-priority partner of the Italian factory Paulato.
Our signature product — stretch-fit slipcovers — is protected by an international patent and offers a unique blend of design and innovation unmatched in the market.
 
Why We Stand Out
We’ve been recognized as one of the fastest-growing companies in the U.S. according to Inc. 5000 in 2023, and were nominated as: 

• Top 50 fastest-growing companies in the Consumer Products category in the U.S.
• Top 100 fastest-growing companies in Florida
• Ranked among the Top 1000 fastest-growing private companies in the US 

Each month, our team of 40+ professionals processes over 4,000 orders through platforms like Amazon, Shopify, and others, combining automation, data, and human creativity. We work in a remote or hybrid environment, use smart tools (Asana, AI, etc.), and foster a transparent, empowering environment where growth and ownership go hand in hand.
 
Your Mission as a Financial Manager
This is not an accounting role.

We're looking for someone who looks at our P&L and Cash Flow and immediately sees where money is leaking — and comes to the CEO with a solution, not just a report. You'll become the internal financial backbone of the business: owning the numbers, shaping decisions, and taking real responsibility for the financial health of a growing e-commerce company.

The right person for this role doesn't wait to be asked. They see something in the numbers, form a view, and bring it to the table. If that's how you work — we'd like to meet you.

What You'll Own
 

Financial Planning & Budgeting Build and maintain annual and quarterly budgets. Run plan-vs-actual analysis and identify what's driving the gaps.

Cash Flow & Liquidity Own the cash flow forecast. Keep it updated, flag risks early, ensure the business always knows where it stands.

Cost & Margin Analysis Recalculate product costs across all variables — logistics from Italy and China, Amazon and Shopify fees, packaging, returns. Monitor margin by channel and SKU. Know which products make money and which don't.

Cost Optimization Find savings without killing quality. Bring proposals with numbers, not opinions.

Financial Reporting & Meetings Run regular financial reviews with the CEO and department leads. Translate complex data into clear decisions. Be the bridge between numbers and strategy.

External Accounting Oversight Manage the relationship with our US-based outsourced accounting agency. Verify accuracy, resolve issues, ensure compliance.

Systems & Automation Continuously improve how we track, calculate, and report. If something can be automated — lead that initiative.

What We're Looking For
 

Must-have:

• 2+ years in a Financial Manager role with real ownership — P&L, Cash Flow, budgeting (title matters less than actual responsibility)
• 1+ year of hands-on experience in e-commerce or product-based retail specifically for the US or Canadian market 
• Experience with import-driven businesses (EU or Asia to US) and cost allocation across supply chain
• Proficiency in QuickBooks or Xero
• Solid understanding of US accounting principles and working with outsourced CPA/bookkeeping firms
• Advanced Excel or Google Sheets — models, pivot tables, data visualization

• English Strong Intermediate+ for communication and financial documentation (you'll work with US-based accounting partners)

   

Strong plus:

• Experience with Amazon Seller Central or Shopify financial data
• Power BI or Google Data Studio
• Background in DTC or marketplace-driven e-commerce
• The right person is analytically sharp, takes ownership without being pushed, and knows the difference between reporting what happened and explaining why — and what to do next.
  
  What We Offer
   

Financial Stability: $3000-4000 Fixed. Depending on the candidate’s expertise in e-commerce for the U.S. and Canadian markets.

• Compensation for accounting services (for contractors/PE)
• Paid a 2-month probation period

 
Flexible Work Format

• Remote or hybrid work
• Full-time role, adapted to your rhythm

Growth & Support

• Coverage of professional courses and certifications
• Access to educational resources
• Freedom to implement new tools and processes
• Career growth opportunities

Care & Comfort

• 21 days of paid vacation + birthday leave 🎂
• Extra days off for important personal events
• Zero micromanagement — we trust responsible people
• We value ownership & initiative
• You’ll feel the support, not the pressure

Why Choose Us?
At Mamma Mia Covers, we create an environment where your skills can develop and bring real benefits to our clients. We value reliability and innovation, supporting each individual on their path to professional growth. If you resonate with our values of reliability and creativity and want to grow with us, we look forward to receiving your resume!

We are looking for an experienced Salesforce Architect to join an international project team on a long-term outstaff basis.

In this role, you will be responsible for designing scalable Salesforce solutions, leading architecture decisions, and collaborating with cross-functional teams to deliver high-quality enterprise systems.

Requirements

• 5+ years of commercial experience with Salesforce
• Strong experience in Salesforce architecture and solution design
• Deep understanding of Salesforce ecosystem and best practices
• Hands-on experience with Sales Cloud, Service Cloud, Experience Cloud, Integrations and APIs
• Experience with Apex, Lightning Components / LWC
• Strong communication and stakeholder management skills
• Upper-Intermediate+ English level
• Availability for occasional business trips to Bulgaria is required

Nice to have

• Salesforce certifications (Application/System Architect or similar)
• Experience in enterprise or multi-country environments
• Experience with integrations involving external systems and cloud platforms

We offer

• Opportunity to work with international, well-known clients in distributed teams
• Supportive engineering culture with focus on quality
• Fully remote position
• B2B collaboration model
• Competitive compensation based on experience

If you are interested, please send your CV and expected rate.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations. 

Role Overview

We are looking for a Senior Test Engineer who blends deep manual QA craft with strong automation engineering and a forward-looking command of AI-assisted testing. You will own quality of our web (SaaS) product end-to-end - shaping test strategy, building and maintaining automation frameworks in Java across UI and API layers (including GraphQL), and pushing the team's adoption of AI tooling to ship faster without sacrificing quality.

What You'll Do

• Own end-to-end test strategy: exploratory, functional, regression, integration, and cross-browser testing
• Build and maintain automated test suites using Selenium WebDriver and/or Playwright for Java; API automation with RestAssured against REST and GraphQL endpoints
• Integrate tests into CI/CD pipelines keeping suites fast, reliable, and low-flakiness
• Use AI coding assistants (Claude Code, Cursor, GitHub Copilot) to accelerate test authoring and maintenance while upholding code-review standards
• Evaluate and adopt AI test-generation and self-healing tools where they deliver real ROI
• Test AI/LLM features: evals, prompt regression suites, hallucination and safety checks, and reliability metrics for non-deterministic outputs
• Investigate defects with rigor: clear repro steps, root-cause hypotheses, tight collaboration with developers
• Champion shift-left testing, risk-based prioritization, test data management, and observability for tests

Qualifications

Must-Have:

• 5+ years of QA experience with strong manual testing foundation: test design, exploratory testing, bug advocacy, sharp eye for edge cases and user impact
• Selenium WebDriver and/or Playwright for Java; Page Object / screenplay-style frameworks, stabilizing flaky suites
• RestAssured for API testing (contract, integration, negative-path); OpenAPI/Swagger fluency
• Hands-on GraphQL: queries, mutations, schema changes, partial responses, error shapes, reusable test utilities
• Strong Java (11+), Maven or Gradle, JUnit/TestNG, Git
• Command line comfort: bash/zsh and/or PowerShell for navigating environments, running tests, and writing automation glue
• Log-digging: grep/jq/awk, Kibana, Splunk, Datadog, CloudWatch — isolating root causes from messy traces
• Basic Docker and Kubernetes: running containers locally, exec-ing into pods, kubectl logs/describe, debugging tests in containerized environments
• CI/CD: GitHub Actions, Jenkins, GitLab CI, CircleCI — integrating tests and triaging failures at scale
• Hands-on AI coding assistants (Claude Code, Cursor, Copilot) as part of daily delivery rhythm
• Excellent written communication: bug reports, test plans, explaining quality risks to non-technical stakeholders

Nice-to-Have:

• Experience evaluating or building eval/regression suites for LLM-powered features (prompt versioning,
• golden datasets, LLM-as-judge, hallucination/jailbreak tests).
• GraphQL tooling depth: Apollo, GraphQL Inspector, schema diffing, or fuzzing for breaking changes.
• Performance testing (JMeter, k6, Gatling) and basic load/scalability awareness.
• Security testing fundamentals (OWASP Top 10).
• Visual regression tooling (Percy, Applitools, Playwright snapshots).
• Familiarity with cloud browser grids (BrowserStack, Sauce Labs, LambdaTest) and broader Kubernetes
• operations (Helm, kustomize, service meshes).
• ISTQB or equivalent certification.

Why Join Flamingo?

• High-impact role: As a back-end engineer, your contributions will directly shape Flamingo’s product and technology.
• Ownership & Equity: Competitive compensation, including significant equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge open-source technologies in AI, automation, and security.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

We are looking for an experienced Senior Growth Manager (Web Funnels) to join our Growth Team and take ownership of a part of our conversion funnel.
In this role, you will drive measurable revenue growth by optimizing performance from the first screen to payment within our AI-based web products. You will operate in a multi-product environment with multiple active web funnels, each with different monetization logic and traffic sources, and will be accountable for delivering conversion uplift and revenue impact within your ownership area.
This position requires strong hands-on experience in B2C digital products, deep expertise in funnel optimization and monetization, and a data-driven mindset focused on experimentation, unit economics, and sustainable revenue growth.

Responsibilities:

• Own and systematically develop a part of the funnel from first screen to paywall, with full accountability for conversion performance and measurable revenue uplift within your area 
• Generate hypotheses and experiments to boost conversion rates (CR), ARPU, and LTV
• Ensure a predictable and measurable experimentation cycle with consistent delivery of results
• Optimize monetization mechanics (paywall, pricing, trial models, offers, upsells) within your ownership area
• Make data-driven decisions on scaling or rolling back changes based on unit economics
• Influence Business Unit prioritization through clear revenue-driven argumentation
• Enhance perceived product value within the funnel via offer positioning, messaging, and UX testing

• Contribute to building and refining Growth processes in a fast-evolving environment, ensuring scalability and predictability of experimentation.

   

What we look for:

• 3+ years of experience in Growth/CRO/Monetization Manager or similar role in digital products
• Experience in B2C digital businesses with subscription models
• Hands-on experience working with end-to-end WEB funnels (LP → signup → payment)
• Practical experience launching and analyzing A/B tests (hypothesis formulation, test design, analysis, decision-making)
• Strong understanding of how value proposition and offer positioning impact conversion
• Experience optimizing monetization mechanics (paywall, pricing, trial models, upsells)
• Deep understanding of unit economics (ARPU, LTV, CAC, margins, revenue impact)
• Experience with user segmentation and behavioral analysis within funnels
• Strong analytical skills and confident use of analytics tools (such as Amplitude,Tableau, or similar web) to derive actionable insights
• Experience prioritizing hypotheses using impact × effort × revenue potential frameworks
• Upper-Intermediate (B2+) level of English.

We offer:

• Exciting challenges and growth prospects together with an international company
• High decision-making speed and diverse projects
• Ultimate ownership of product business metrics
• Flexibility in approaches, no processes for the sake of processes
• Effective and friendly communication at any level
• Highly competitive compensation package that recognizes your expertise and experience level, Performance Review practice to exchange feedback and discuss terms of cooperation
• Flexible schedule, opportunity to work in a stylish and comfortable office or remotely
• Respect for work-life balance (holidays, sick days - of course)
• Bright corporate events and gifts for employees
• Compensation for specialized training and conference attendance
• Restaurant lunches at the company's expense for those working in the office, endless supplies of delicious food all year round.