Jobs at Djinni

A global marketplace for savings and investments, providing users with seamless access to high-yield savings accounts and investment options from over 400 partner banks worldwide. The platform removes geographic barriers while ensuring transparency, convenience, and competitive rates. For banks, it delivers cost-efficient deposit funding and innovative Banking-as-a-Service solutions. The team is responsible for the integration of transaction accounts, hosted via our servicing banks, into the Raisin platform. They ensure smooth funding across all products, correctly routing incoming and outgoing payments to their intended destinations. The team consists of 10 members working collaboratively in a cross-functional setup.

Responsibilities:

• Deliver core services and high-quality solutions for a large-scale online platform and its banking systems.
•  Integrate externally developed components into existing applications.
• Define standards, share best practices, and contribute to continuous learning within the team.
• Perform software engineering tasks with a strong focus on quality and support teammates in maintaining the same standards.
• Conduct thorough code reviews, covering best practices, business rules, performance, security, and impact on other features/projects, always providing constructive and respectful feedback.
• Collaborate within the team to negotiate and document software development standards and practices.
• Research and propose multiple technical solutions whenever possible.
• Take end-to-end ownership of project delivery within the team.
• Maintain and manage technical documentation and address technical debt proactively.
• Participate in the hiring process through tech-fit interviews and technical challenge evaluations.

Requirements:

• 6+ years of overall software development experience.
• Minimum 5 years of experience with Java and Spring Boot.
• Strong understanding and hands-on application of design patterns.
• Practical experience with testing practices (unit, integration) using tools such as JUnit, Mockito, TestContainers.
• 4+ years of experience with AWS Services, Kubernetes, event-driven architectures (Kafka or ActiveMQ), Spring Boot, SQL, and NoSQL.
• Excellent communication skills with the ability to articulate challenges and solutions clearly.
• Proven team player who collaborates effectively and supports shared goals.
• Strong critical thinking and problem-solving skills, with the ability to analyze production issues and design robust solutions (highly desirable).
• Proactive in supporting teammates and driving technical improvements (strongly preferred).
• High responsibility when working with payments, as this is a critical, core functionality for the company.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the company

We’re an international product company operating in the mobile entertainment space, focused on scaling high-growth consumer products for the US market.

We’re looking for a senior User Acquisition professional to take ownership of paid growth strategy, campaign execution, attribution, and performance optimization across multiple acquisition channels.

Responsibilities

• Own and scale user acquisition strategy across key paid channels
• Manage and optimize campaigns on Meta, Apple Search Ads, and major programmatic platforms
• Drive performance marketing initiatives with focus on CAC, ROAS, LTV, and payback metrics
• Work closely with analytics and BI teams to build dashboards, reporting, and cohort analysis
• Oversee attribution setup and mobile measurement infrastructure (AppsFlyer / SKAN)
• Collaborate with creative teams on ad concepts, testing, and iteration strategy
• Analyze campaign performance and identify scaling opportunities
• Participate in growth planning, budget allocation, and testing strategy
• Help build and structure the UA function as the team grows

Requirements

• 4+ years of experience in User Acquisition / Performance Marketing for mobile apps or gaming products
• Hands-on experience with Meta Ads, Apple Search Ads, and DSP/programmatic platforms
• Strong understanding of mobile attribution and SKAdNetwork
• Experience working with AppsFlyer or similar MMP platforms
• Data-driven mindset with strong analytical skills
• Experience working with BI/reporting tools and performance dashboards
• Understanding of bidding algorithms and campaign scaling mechanics
• Ability to work independently and take ownership of growth initiatives

Nice to Have

• Experience in gaming, iGaming, betting, fintech, or high-volume consumer apps
• Experience launching and scaling products in competitive markets
• Familiarity with SQL, Tableau, or similar analytics tools
• Experience with creative testing frameworks and AI-powered creative workflows

What We Offer

• Opportunity to work on fast-scaling international products
• High ownership and direct impact on business growth
• Flexible remote setup
• Competitive compensation package

We are looking for a Senior Full Stack Developer capable of taking technical ownership, making independent decisions, and ensuring reliable delivery of complex, production-ready solutions. We expect a highly skilled engineer who can drive results, structure development processes, and demonstrate strong leadership qualities.

Core Requirements

📌 English: Upper-Intermediate or higher.

📌 5+ years of commercial experience with key technologies:

• Python
• Node.js
• React.js
• AWS Lambda/Azure

📌 Commercial experience with additional technologies:

• TypeScript
• Redux
• Express.js
• NestJS
• REST API / GraphQL

• PostgreSQL

   

• AI Engineering & Innovation
• We are actively integrating AI into our development workflows and software solutions.

This includes:

• Introducing and optimizing AI coding tools (Cursor, Copilot, Claude, etc.)
• Supporting the integration of LLM-based features into SaaS products
• Guiding architecture decisions around AI-driven applications

• Promoting the use of AI coding agents and automation in development

   

Key Personal Qualities

• Strong sense of ownership and responsibility.
• Analytical thinking and a results-driven mindset.
• Ability to work effectively in a dynamic and fast-paced environment.

What we can offer:

Full-time flexible working schedule;

Comfortable, cosy, and well-equipped office;

Modern working place MacBookPro;

18 business days of paid vacation / 10 paid sick leaves / public holidays in Ukraine.

English lessons

About the Role

We are seeking a highly skilled and mission-driven Data Scientist to join our customer team and lead the development of our Patient Risk Scoring machine learning initiatives. In this role, you will build predictive models that identify high-risk patients for interventions, ultimately improving patient outcomes and optimizing care delivery. You will leverage Microsoft Fabric to manage end-to-end machine learning workflows, drawing insights from Electronic Health Record (EHR) data sources. If you are passionate about the intersection of advanced artificial intelligence and healthcare innovation, we want to hear you.

Responsibilities

• Model Development & Deployment: Design, train, evaluate, and deploy machine learning models to predict patient risk scores (e.g., medication refusal, non-compliance, decompensation etc.).
• EHR Data Engineering & Processing: Extract, clean, and transform healthcare data from EHR systems (e.g., Credible) to build robust feature sets for predictive modeling.
• End-to-End Analytics with Microsoft Fabric: Utilize Microsoft Fabric’s unified analytics platform (including Data Engineering, Data Science, and Real-Time Analytics workloads) to orchestrate data pipelines, manage Lakehouse architectures, and scale ML training/inference.
• Clinical Collaboration: Partner closely with clinical stakeholders, medical officers, and care teams to define risk cohorts, ensure the clinical validity of model features, and translate model outputs into actionable clinical workflows.
• MLOps & Monitoring: Establish continuous integration, deployment, and monitoring of ML models to track data drift, model degradation, and fairness/bias over time.
• Compliance & Privacy: Ensure all data handling and modeling practices strictly adhere to healthcare regulations (e.g., HIPAA, HITRUST) and maintain the highest standards of data security and patient privacy.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Health Informatics, or a related quantitative field.
• Professional Experience: 4+ years of experience developing and deploying machine learning solutions in production environments, preferably within healthcare or clinical data ecosystems.
• Microsoft Fabric Experience: Hands-on experience building and deploying data and ML workflows within the Microsoft Fabric ecosystem (OneLake, Notebooks, Spark, Data Factory).
• Machine Learning Proficiency: Strong grasp of classical machine learning algorithms (e.g., XGBoost, Random Forests, Logistic Regression) and modern deep learning techniques, specifically for tabular and time-series data.
• Programming Skills: Advanced proficiency in Python and SQL. Experience with data manipulation and ML libraries (Pandas, PySpark, Scikit-Learn, PyTorch, or TensorFlow).
• Communication: Excellent ability to translate complex technical and statistical concepts to non-technical clinical and business stakeholders.

Nice to Have

• Cloud Certifications: Relevant Microsoft Azure or Fabric certifications.

Work Environment & Collaboration

• Full-time: 8 hours a day.
• Schedule: Mon – Fri 9-5 (US EST) overlap with team at least 4 hours.
• Team Structure: Work independently on assigned tasks with support from experienced team members.
• Communication: Primarily asynchronous via email and MS Teams.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client is developing a cutting-edge cybersecurity analytics platform designed to give enterprises a comprehensive understanding of their digital environments and security posture. The system continuously aggregates and correlates large-scale data from multiple sources, applies graph-based modeling and AI-driven analytics, and delivers real-time insights that help organizations prioritize and remediate high-impact risks. 

About the Role:

This is a hands-on Senior Backend Engineer role in the central platform team, focused on developing and scaling the core services behind a cybersecurity platform. The role involves designing and maintaining APIs, building reliable backend systems, and contributing to AI-driven features used in production. In collaboration with cross-functional teams, you’ll help shape system architecture, improve performance and observability, and ensure the platform remains stable and scalable. The work has a direct impact on product capabilities, integrations, and the overall user experience.

Key Responsibilities:

• Develop and maintain backend services powering the platform (primarily Python/FastAPI-based microservices)
• Design, build, and evolve APIs used across internal services and external integrations
• Ensure API reliability, scalability, and clear communication between distributed services
• Contribute to building scalable and reliable distributed systems (messaging, data flow, service communication)
• Participate in development of AI-powered features (LLM integrations, prompt-based workflows)
• Improve system quality: testing, observability, performance, and reliability
• Collaborate with other teams when working across multiple services and repositories
• Use modern development tools, including AI-assisted coding, to improve productivity and code quality
• Take ownership of tasks and proactively drive them to completion

Required Competence and Skills:

• 5+ years of backend development experience with Python
• Strong hands-on experience with FastAPI
• Solid understanding of distributed systems and microservices architecture
• Experience working with APIs (design, integration, service-to-service communication)
• Experience with async messaging systems (e.g., RabbitMQ, SQS, SNS or similar)
• Hands-on experience with AWS, including building and running cloud-based services using managed components
• Experience working with Docker / containerized environments
• Experience working with AI tools and coding agents (e.g., Claude or similar) in daily development workflows
• Strong ownership mindset and ability to work independently
• Excellent English and communication skills

Nice to Have:

• Experience building LLM-based features (Bedrock, OpenAI, Anthropic, etc.)
• Experience with Kubernetes and CI/CD pipelines
• Familiarity with data platforms (Databricks, Spark)
• Background in cybersecurity domain

About the project:

Search is changing fast. AI-generated answers are replacing ranked links, and brands that aren't visible inside those answers are simply invisible. This role exists to make sure our clients are inside those answers — not invisible to them. You'll own GEO end-to-end: auditing content for AI retrievability, building entity coverage, shaping how information is structured so language models can extract and cite it reliably. You'll also maintain solid traditional SEO foundations in parallel, because both disciplines are still in play.

A new team member will be in charge of:

• Lead GEO strategy from audit to execution — entity mapping, semantic architecture, and content structuring for AI retrievability
• Shape how content is written and organized so LLMs can extract, surface, and cite it: clear heading hierarchies, modular answer formats, entity-rich copy
• Monitor how models like ChatGPT, Perplexity, and Gemini retrieve and represent brand content — then turn findings into concrete changes
• Run traditional SEO execution in parallel: technical audits, on-page optimization, keyword strategy — keeping the foundation strong as discovery shifts

• Use AI tools (Claude, ChatGPT) actively to test prompts, validate visibility, and pressure-test content across AI search surfaces

   

Does this relate to you?

• Hands-on GEO experience (1 year active GEO practice) — you understand how LLMs source content in practice, not just in theory; prior SEO with active GEO experimentation is fully valid
• Strong SEO fundamentals (3+ years proven SEO): technical audits, on-page optimization, keyword research — you can run this independently
• You know how to structure content for machine readability: semantic hierarchy, extractable answer formats, clean entity coverage
• Solid understanding of what makes content citation-worthy inside generative systems — and what gets ignored
• Comfortable working with AI tools as part of your daily workflow, not just as an experiment

• Link building experience plus especially building off-site authority that feeds both traditional and AI-driven discovery

   

Ready to try your hand? Send your CV without a doubt!

Your mission

Take full ownership of quality as a system, not a phase.
You will transform QA from a supporting function into a company-wide quality engineering discipline, driving process maturity, security awareness, and automation-first culture.

What you will actually do:

— Own and evolve QA strategy at the company level:
 define how quality is built, measured, and scaled across all projects

— Lead QA transformation initiatives:
 • move from manual-heavy QA to automation-first approach;
 • eliminate process chaos and introduce predictable, repeatable delivery models;
 • standardize QA practices across teamxs without killing flexibility.

— Embed security into QA processes (not as a checkbox):
 • define security testing standards;
 • integrate basic security checks into SDLC;
 • raise security awareness across engineering teams.

— Own non-functional quality:
 • performance & load testing strategy;
 • data integrity & database testing;
 • reliability for Live systems.

— Build a modern automation ecosystem:
 • define automation strategy across projects;
 • ensure frameworks are scalable, maintainable, and actually used;
 • drive high ROI automation (not “automation for the sake of automation”).

— Scale quality metrics that matter:
 • defect leakage;
 • automation efficiency;
 • team performance and delivery health.

— Build and lead a high-performance QA organization:
 • hire strong engineers, not “manual testers”;
 • grow people into T-shaped quality engineers;
 • mentor leads and shape future QA leaders.

— Partner with Engineering and DevOps to make quality a shared responsibility, not a QA bottleneck

What makes this role interesting:

— You are not “leading QA team” — you are shaping how the company builds software;
— You will work on processes that actually need fixing, not maintaining legacy bureaucracy;
— High level of ownership and decision-making power;
— Direct impact on engineering culture and delivery quality;
— Strong focus on growth and learning (courses, conferences, certifications);
 — Flexible work format (remote / office);
 — Paid vacations (23 business days) and sick leaves;
 — Full transparency on company performance.

We expect you to bring:

— Strong experience as Lead / Staff QA with real ownership of quality processes;
— Proven track record of building or transforming QA practices (not just supporting them);
— Deep expertise in:
 • test automation strategy and frameworks;
 • QA process design and scaling;
 • non-functional testing (performance, reliability, data).
— Solid understanding of security fundamentals in QA;
 (you don’t need to be a pentester, but you know where QA adds value in security)
— Experience working in multi-project / outsource environments is a big plus;
— Ability to operate on both levels:
 • strategic (define direction);
 • hands-on (get into tools, frameworks, problems when needed).
— Strong system thinking: you see QA as part of engineering ecosystem, not isolated function;
— Good technical background:
 • APIs, web, mobile;
 • logs, debugging, observability tools;
 • CI/CD understanding.
— English: Upper-Intermediate or higher.

Awesome if you have:

— Experience implementing OWASP-based practices or security testing workflows;
— Programming experience (Java / JS / Python) for building robust automation;
— Experience with quality metrics systems and data-driven decision making.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Over the past few years Coro has received $275M in funding and is one of the fastest growing Cybersecurity companies in the world. The funding is primarily being used to enhance the Coro Cybersecurity SaaS platform and for additional headcount growth, as Coro continues to expand globally.   

Coro started in Tel-Aviv, Israel and is also headquartered in Chicago, IL with additional offices in New York, London, and remotely across the globe. As a global organization, Coro gives you the ability to work with people and teammates from around the world. 

Coro’s AI enabled Modular Cybersecurity Platform is the only one in the industry specifically designed to provide Mid-Market customers with scalable and affordable “enterprise grade” protection for all of their priority threat vectors. 

About the Role:

This is a hands-on leadership role for a Backend Team Lead who will guide a team of backend engineers while staying directly involved in coding, architecture, and delivery. You will work on core backend systems behind Coro’s cybersecurity platform, building and scaling high-load services that process large volumes of security and telemetry data in real time.

These systems are responsible for collecting, processing, and analyzing data from multiple sources, including endpoints, cloud environments, and product integrations. They support critical product capabilities such as threat detection, security analytics, anomaly identification, and automated response workflows, making this a mission-critical leadership role at the core of Coro’s product.

If you are looking for a role where you can combine leadership with technical ownership, shape team culture, and build highly scalable backend services for a fast-growing global cybersecurity platform, this is the role for you

Key Responsibilities:

• Lead a team of highly skilled and passionate developers
• Partner with the Product Manager to build the road-map for the team
• Understand the team objectives and key results and make sure that the team are on the path to achieving them
• Participate in making decisions on the architecture and technologies
• Conduct the team ceremonies: Daily stand-ups, sprint planning and retro meetings
• Help create and enforce strong engineering standards, code quality, and best Engineering practices
• Take an active part in the implementation (hands-on) of the team’s various services and features
• Help your team members grow by mentoring them, building their growth plan with them and enable them opportunities to implement it

Required Competence and Skills:

• 6+ years of backend/server-side development with Java
• 2+ years of proven experience leading an engineering team 
• Strong hands-on experience with Spring Framework and MongoDB
• Deep understanding of multithreading and concurrency
• Solid knowledge of OOP concepts and design patterns
• Proven experience with microservices architecture
• Experience working with high-load backend systems
• Proficiency in cloud-native environments (preferably AWS)

Nice to have:

• Experience with Redis and RabbitMQ
• Experience with Elasticsearch/OpenSearch 
• Familiarity with Docker / Kubernetes
• Experience in Cybersecurity domain 

Position Name: Network Engineer
Reports to: Manager, Network Services
Location/Type: UK Remote

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service. 

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

We are looking for a skilled Network Engineer who will be responsible for designing, implementing, maintaining, and supporting the network infrastructure for our growing client base and our firm. You will work within our systems engineering team. You should have a good understanding of designing and developing scalable, maintainable, highly available network architectures. We also expect you to be a good team player and be able to meet business objectives and SLAs.

Responsibilities

• Organize network maintenance and system upgrades including service packs, patches, hot fixes, and security configurations
• Install, implement, and configure various types of network devices, solutions, and services, including routers, switches, firewalls, load balancers, VPN, QoS.
• Monitor system performance, ensure it is available and reliable
• Monitor system resource utilization, trending, and capacity planning
• Ensure compliance with policies and requirements and troubleshoot any issues
• Organize the implementation of security tools, policies, and procedures in conjunction with the company’s security team

• Work together with vendors and other IT personnel to resolve problems faster

   

Qualifications

• 4+ years’ experience as a Network Engineer
• 1+ years’ experience working in AWS or Azure
• 5+ years of IT or similar experience
• Experience with cloud-based networking (SaaS, IaaS, PaaS)
• Extensive experience with market leading vendors (Cisco, Palo Alto, HP, Ubiquiti, Aruba)
• Working knowledge implementing VPN technologies including IPsec, SSL VPN, and encryption.
• Experience working with next-generation firewalls (application filtering, IDS/IPS). Palo Alto Firewall experience is a must
• Significant experience with monitoring, network diagnostic and network analytics tools
• Excellent understanding of networking protocols (including IPSEC, HSRP, BGP, OSPF)
• Experience establishing Zero Trust model
• Experience with managing 20+ firewalls in Panorama

• CCNA/CCNP or similar certifications highly desirable

   

Desirable Qualities

• Implementing and managing Palo Alto Firewalls in AWS & Azure.
• Implementing and managing PAN OS SDWAN.
• Very organized with excellent communication skills.
• Goal-oriented individual with proven ability to solve problems creatively.
• Ability to multitask in a fast-paced environment.
• Excellent analytical skills.

The project is a live, high-performance market order and trading system designed as an exchange for energy commodities. Operating primarily in the US and European markets for a global client, the platform handles complex trades where every millisecond counts. We are looking for a key engineer to take full ownership of the Matching Engine - the core component responsible for pairing buy and sell orders and executing trades.

Requirements:

• 10+ years of professional experience in software development.
• Deep expertise in Modern C++ (17/20/23): move semantics, constexpr, templates, etc.
• Strong experience with Linux / POSIX environments.
• Proficiency with build systems and tools: CMake / vcpkg, Git.
• Hands-on experience with concurrency and shared memory tools.
• Networking skills: ZeroMQ (or similar), low-level socket programming (TCP/UDP).
• Proficiency in using AI coding tools (Cursor, Claude, Codex, etc.) to enhance the development workflow.
• English: Upper-Intermediate or higher.

Nice to Have:

• Familiarity with kdb+, TypeScript, and code generation tools.
• Experience in Financial or Trading domains (FIX Protocol, OMS, Market data feeds like ITCH/OUCH).
• Knowledge of Redis or other in-memory data stores.
• Familiarity with the Qt framework.

What we are looking for:

• Autonomy: You excel at working independently, learning on your own, and figuring out large, unfamiliar codebases without external support.
• Ownership: You are ready to take full responsibility for the core part of the system.
• Assertiveness: You can clearly communicate your technical vision and demonstrate your project understanding effectively.

Stages:

1. HR Interview with a Recruiter.
2. Technical Interview with our expert. 

We are looking for a Senior Product Analyst who will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning. You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise.
• 24 days of paid vacation per year to recharge and relax.
• 10 days of paid sick leave.
• Educational opportunities.
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries.
• Online and offline team events.
• A collaborative and innovative work environment with passionate team members.
   

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉

We at DataOx are expanding our sales team and are currently looking for a Sales Manager to join our company.
 

Requirements:
— 1-3 years of experience in a sales role
— English level B2-C1 (must-have, as all our clients are English-speaking) with confidence in video calls
— Experience in selling B2B or B2C services
— Understanding of the sales funnel and sales stages
— Readiness for intensive learning and development
— Strong time-management skills, independence in decision-making, mature professional approach, and fast execution
— Flexibility and adaptability in work
 

It will be a plus if you have:
— Understanding of the IT industry and technical terminology
— Sales experience on Upwork
 

Your future responsibilities:
— Communicate with clients in English via messages and calls
— Conduct intro, discovery, and presentation calls
— Identify client needs and business goals
— Prepare commercial proposals and presentations
— Manage deals throughout the sales funnel
— Maintain CRM systems according to company standards
— Collaborate with the internal team to ensure smooth communication and delivery
— Provide a high level of client service
— Achieve personal sales targets and continuously improve your sales skills
 

What we offer:
— Fixed rate + % from your clients revenue
— Work only with warm incoming leads
— 20 paid vacation days per year
— Opportunities for professional growth and career development
— Provision of technical equipment for stable work
— Comfortable onboarding and adaptation process
— Friendly and supportive team
— Training, mentoring, and regular feedback from management
 

If this sounds like a topnotch match for you, we would be happy to start our cooperation!
 

Recruitment process:
HR Interview (up to 60 min) → Interview with the Sales Director and Head of Department (up to 90 min) → Offer

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

Role Overview

We are looking for a Data Engineer (integration) to join our Data Platform team to help build, maintain, and scale integrations between external platforms and internal systems. Reporting directly to the Data Engineering Lead, you will focus on reliable backend services, AWS server-less infrastructure, and external API integrations that support critical business operations.
This role is fully remote across Europe and sits within the Development Department - in the Data Platform team/squad.
We are open to Seniority level here from Mid level and above.

Key Responsibilities

• Design, develop, and maintain integrations between third-party platforms and internal systems.
• Build scalable backend services and API-based integration solutions using Python.
• Manage integrations across AWS server-less infrastructure including Lambda, S3, DynamoDB, EventBridge, and related services.
• Implement and maintain authentication flows, token refresh handling, retries, pagination, polling, and async job processing.
• Monitor, troubleshoot, and resolve integration issues in production environments.
• Own integrations end-to-end, including implementation, deployment, operations, and incident handling.
• Write and maintain automated tests to ensure reliability and stability of integration services.
• Collaborate closely with Engineering, Product, and Data teams to support platform scalability and operational efficiency.
• Contribute to infrastructure improvements and Infrastructure-as-Code initiatives.

Skills & Experience

• 4+ years of backend or integration engineering experience in production environments.
• Strong Python development skills with experience building and maintaining external API integrations.
• Hands-on AWS experience including Lambda, S3, DynamoDB, EventBridge, Secrets Manager, SSM Parameter Store, and CloudWatch.
• Experience with Infrastructure-as-Code for provisioning and maintaining cloud infrastructure.
• Strong understanding of REST APIs and integration patterns.
• Experience handling authentication flows, retries, pagination, polling, and asynchronous processing.
• Strong debugging and troubleshooting skills, particularly with third-party integrations.
• Experience writing and maintaining automated tests for backend or integration services.
• Ability to work independently and take ownership of technical deliverables.
• At least 6 months of hands-on experience using AI coding agents in day-to-day development workflows.
• Experience with Airflow or similar workflow orchestration tools is considered a plus.
• Experience working with ESP or CRM platforms is considered an advantage.
• Familiarity with affiliate marketing or iGaming environments is a plus.
• Understanding of marketing data structures and identifiers is considered beneficial.

What We Offer

• Competitive salary.
• Fully remote work across Europe.
• Flexible collaboration hours and strong work-life balance.
• The opportunity to work on scalable, business-critical systems and integrations.
• A collaborative culture focused on ownership, innovation, and continuous improvement.

Format: Remote
Type: Full-time
Level: Middle/Senior

Gravira Group — a fast-growing international iGaming company — is looking for a results-driven Senior Affiliate Manager to strengthen our affiliate department and scale high-quality traffic from Tier-1 markets - CA and DE.

This role is for someone who thrives on results, takes ownership, and understands how to build strong, revenue-driving partnerships with affiliates.

Key responsibilities:

• Search, onboard, and manage affiliates and webmasters with high-quality traffic (FB/SEO/ASO/PPC) — including cold outreach
• Build and maintain long-term relationships with partners and ensure performance growth
• Analyze traffic sources, performance metrics, and ROI (ROMI 100%+ is the goal)
• Negotiate deals, optimize campaigns, and ensure top-performing partnerships
• Collaborate with the marketing and product teams to launch new offers and improve conversions
• Monitor daily statistics, payments, and fraud indicators
• Expand and diversify traffic channels across CA, DE, AT (Europe Tier-1)
   

Requirements:

• 2+ years of experience as an Affiliate/Partner Manager in iGaming
• Proven expertise working with CA, DE, and AT markets
• Strong understanding of affiliate management, traffic arbitrage, and performance marketing principles
• Hands-on experience with analytics systems and affiliate software (Postback, Voluum, Binom, Keitaro, etc.)
• Analytical mindset and data-driven decision-making
• Excellent negotiation, communication, and presentation skills
• Financial literacy and a goal-oriented approach
• English — Upper-Intermediate (B2) or higher
   

Would be a plus:

• Your own affiliate/webmaster database (Tier-1)
• Experience in cold outreach and onboarding new affiliates
• Existing partnerships with SEO/ASO /PPC webmasters
• Experience working in startups or dynamic iGaming environments
   

What we offer:

• Fully remote position with flexible working hours
• 20 days of vacation and paid sick leave
• Work with Tier-1 traffic and high budgets (Canada, Germany, Austria)
• A culture that values ownership, speed, and transparency
• Competitive compensation (base + % of profit)
• Opportunity to implement your own affiliate strategy and grow with the company
• Work in a result-oriented team that expects measurable performance from day one

About the Client & Project We are partnering with a well-established UK-based e-commerce retailer operating across the US, UK, and APAC markets under 16+ partner brands. They run a high-volume, subscription-driven commerce model with complex multi-market business logic. The team is currently mid-way through a major platform modernisation — moving from a legacy monolith to a modern MACH architecture.

Responsibilities:

• Build AWS Lambda microservices (Node.js/TypeScript) behind API Gateway, integrated with Commerce Tools and D365.
• Design and optimise DynamoDB data models and access patterns for high-throughput e-commerce.
• Contribute to CI/CD pipelines and collaborate with DevOps on infrastructure automation.
• Support knowledge transfer to client engineers on AWS serverless best practices.

• Delegate multi-step tasks to AI agents; review diffs, verify output, and maintain accountability for what gets committed.

   

Requirements:

• Experience: 5+ years in Software Development 
• Backend: Strong, production-grade proficiency in Node.js and TypeScript.
• Cloud5/Serverless: Production-grade expertise with AWS Lambda, API Gateway, and DynamoDB (not just theoretical).
• Architecture: Robust experience with microservices architecture and greenfield development.
• AI Tooling: You are a self-sufficient builder who ships fast, communicates clearly across international teams, and operates AI agents as a genuine force multiplier — delegating, verifying, and iterating, not just prompting.
• English level: Upper-Intermediate+
• Tech Stack Ecosystem (Nice-to-Have): Exposure to ECS, Commerce Tools, Netlify, Contentful, D365, or Akamai

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers