Jobs at Djinni

We are looking for an AI Content & SMM Manager to develop and scale our social media presence, manage multi-platform content production, and build AI-powered solutions for marketing and media operations.

This role combines social media management, content strategy, AI-driven content production, automation, and team coordination.

You will be responsible for managing multiple social media channels, developing content funnels, implementing AI tools and workflows, and coordinating content production at scale. You will also have the opportunity to work with AI influencers, virtual characters, and automated community engagement solutions.

HOW YOU WILL MAKE AN IMPACT:

• Manage and grow online communities across social media platforms, messengers, and other digital channels.
• Develop and manage content calendars and publishing strategies for Instagram, TikTok, Telegram, YouTube, X (Twitter), Facebook, and other platforms.
• Build and optimize social media content funnels to attract, engage, and convert audiences.
• Organize and manage large-scale content production, including planning, task delegation, production workflows, and publishing schedules.
• Build and develop AI infrastructure for SMM and media operations.
• Organize AI-powered content production workflows, including text, image, video, scripts, creatives, and UGC-style content generation.
• Implement AI tools and automation systems to scale content production.
• Work with AI bots and chatbots for community management, audience engagement, user nurturing, moderation, and communication automation.
• Create and develop AI influencers and virtual characters for brand promotion across social media platforms.
• Develop positioning, tone of voice, visual identity, and content strategies for AI influencers.
• Prepare briefs, task descriptions, creative references, prompts, and content guidelines for internal teams, freelancers, and AI systems.
• Coordinate external contractors, including designers, copywriters, video editors, AI specialists, prompt engineers, and motion designers.
• Monitor deadlines, production quality, and brand consistency.
• Analyze content performance, social media metrics, AI-driven funnels, and marketing activities.
• Optimize content strategies and production workflows based on analytics, performance data, and testing results.
• Monitor trends in social media, AI-generated content, AI influencers, chatbots, automation, and digital media.

WHAT WILL HELP YOU SUCCEED IN THE ROLE:

• At least 1 year of experience as an SMM Manager, Media Manager, Content Manager, AI Content Manager, or in a similar role.
• Experience managing multiple social media platforms and handling large volumes of content.
• Understanding of content strategies, content calendars, and social media funnels.
• Hands-on experience with AI tools for content creation and scaling.
• Experience building or contributing to AI-powered infrastructure for marketing, SMM, or media operations.
• Understanding of AI content production workflows and large-scale content generation processes.
• Practical experience working with AI-generated text, images, videos, or other creative assets.
• Experience with AI bots, chatbots, or automated communication systems.
• Understanding of prompt engineering and the ability to create effective prompts, workflows, and content generation pipelines.
• Experience coordinating external contractors and creative production teams.
• Understanding of key social media metrics: reach, engagement rate, CTR, conversion rate, retention, and audience growth.
• Ability to analyze content performance and optimize strategies based on data.
• Good understanding of trends in AI, social media, digital media, influencer marketing, and content automation.
• Strong organizational, communication, and project management skills.
• Attention to detail, creativity, and a structured approach to work.

Nice to Have

• Experience creating or managing AI influencers and virtual characters.
• Experience working in the iGaming industry.
• Experience with AI content farms or high-volume content production systems.
• Knowledge of no-code automation tools and AI workflow integrations.

HOW WE WILL KEEP YOU SMILING:

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

We are building an end-to-end digital ecosystem for insurance market participants. By bringing disparate services together into a single product, we are rethinking core functionality and creating next-generation digital services. You’ll face complex interaction scenarios, work with large volumes of data, and tackle non-trivial problems where product logic meets interface design.

We are looking for an experienced Lead UX/UI Designer who can join research efforts, interface design, and the adoption of cutting-edge AI tools into the team’s day-to-day practice from day one.

PROJECT TERMS

• Duration: 4 months (part-time/full-time contract), with the possibility of extension.
• Workload: 40 hours per week.

KEY RESPONSIBILITIES

• Full UX/UI cycle: from initial analytics and scenarios to high-fidelity interactive mockups.
• User research: conducting interviews, usability tests, and custdevs, and turning feedback into concrete product decisions.
• Involvement in product strategy: jointly formulating problems with the Product and Dev teams, and assessing risks and assumptions.
• Developing information architecture: maintaining consistent navigation logic as new modules are integrated.
• AI process optimization: using neural networks to speed up research, prototyping, and routine documentation.
• Design system work: maintaining, evolving, and documenting components.
• Product culture: actively participating in design reviews and exchanging constructive feedback.

CANDIDATE REQUIREMENTS

• 6+ years of experience in product design, with a portfolio that shows your thought process, decisions made, and business results.
• English: conversational B2+ or higher (confidently delivering presentations and defending design decisions and research).
• Solid background in B2B / Enterprise SaaS: complex analytics, dashboards, multi-step forms, and data-dense interfaces.
• Hands-on product research skills (interviews, usability tests), with examples of how the results influenced the final product.
• Ability to justify design decisions in terms of business goals and metrics.
• Experience using AI services in a real workflow and an understanding of their limitations.
• High level of autonomy: able to manage your own priorities, flag risks early, and propose solutions.
• Ability to work under uncertainty and with flexible, shifting priorities.
• Deep proficiency in Figma (variants, auto layout, tokenization, design systems).
• Experience in FinTech, Insurance, or other regulated industries.

NICE TO HAVE

• Experience in mentoring or running design critiques.
• Knowledge of product analytics (Amplitude or similar) for formulating and validating hypotheses.
• Prototyping with code or AI platforms.
• Experience building scalable information architecture.

QUESTIONS FOR THE CANDIDATE WHEN APPLYING

Please include answers to the following questions with your application:

1. Your hourly rate ($/hour).
2. Availability (when you can start, and whether 40 hours/week for 4 months works for you).
3. How much time overlap can you provide with 9am–5pm ET?
4. A short video introduction: please record a brief video in English (1–2 minutes) explaining why you are a good fit for this position, backed by specific examples from your experience.

HOW WE WORK

• A compact team with a high degree of freedom in decision-making.
• A focus not only on releases but also on continuous process improvement.
• Tools: Figma, Jira, Confluence, Amplitude, Claude, Copilot.

About Come Back Agency & Client Position

Come Back Agency supports US software and technology companies by running their hiring process. We work with delivery and leadership teams to define roles, screen candidates, and manage interviews. Successful candidates are hired directly by the company and become part of its team.

This position is with a US-based software company providing custom development and AI implementation for North American clients. The team builds and maintains production software, including AI-enabled systems, and works in long-term client engagements. Team members operate as part of an internal, distributed team and collaborate directly with client stakeholders.

About the Role

As we scale our operations and infrastructure, we are looking for a hands-on DevOps / Platform Engineer who can design robust cloud environments, standardize infrastructure templates, and support our compliance readiness.

In this role, you will build automated end-to-end cloud infrastructure, manage multi-account AWS environments, support Kubernetes clusters, and collaborate on security hardening. You will also play a key role in supporting upcoming enterprise vendor reviews and compliance readiness (SOC 2 / ISO 27001) by gathering evidence, addressing security gaps, and utilizing cloud security mechanisms.

What You Will Do

• Cloud Architecture & Multi-Account Setup: Design, build, and maintain AWS infrastructure from scratch; standardize multi-account environments (AWS Organizations) and repeatable landing zones.
• Infrastructure & CI/CD: Manage Infrastructure as Code using Terraform and maintain scalable automated CI/CD pipelines (primarily GitHub Actions).
• Container Orchestration: Support and maintain production Kubernetes clusters (Amazon EKS).
• System Migration: Assist with migrating internal and client services/applications to AWS in alignment with security best practices.
• Security Hardening & Access Control: Implement least privilege access (IAM), secrets management, network isolation, and standard security practices across cloud environments.
• Compliance Readiness & Evidence Gathering: Support SOC 2 and/or ISO 27001 readiness by identifying security gaps, collecting audit evidence, and providing technical artifacts (using AWS Artifact, Security Hub, or integrated compliance tools).
• Observability & Incident Support: Standardize logging, monitoring, and alerting across environments to ensure full auditability and infrastructure reliability.
   

Requirements

• Experience: 2.5+ years of practical DevOps / Platform / Cloud Engineering experience managing cloud infrastructure.
• AWS & Infrastructure Design: Strong experience with AWS (IAM, VPC networking, compute, logging) and hands-on experience or familiarity with AWS Organizations and multi-account structures.
• Containers & Kubernetes: Hands-on experience managing and supporting production Kubernetes clusters (Amazon EKS).
• Infrastructure as Code (IaC): Solid experience writing and maintaining Terraform scripts.
• CI/CD: Practical experience configuring deployment pipelines from scratch (GitHub Actions preferred, or GitLab CI / Bitbucket Pipelines).
• Practical Security & Compliance: Familiarity with cloud security controls (IAM, encryption, vulnerability scanning) and practical experience with evidence collection and gap remediation for SOC 2 or ISO 27001 audits.
• Communication: B2+ English level (upper-intermediate or higher) for effective daily communication with US-based stakeholders and auditors.

Nice to Have

• Experience or familiarity with compliance automation platforms (e.g., Vanta, Drata, Secureframe, or AWS Security Hub).
• AWS Certifications (e.g., AWS Certified Solutions Architect, SysOps Administrator, or AWS Certified Security - Specialty).
• Experience with cloud application migrations.
   

What We Offer

• Working hours aligned with US time zones, typically 16:00–23:59 Kyiv time.
• Company-sponsored English lessons to support clear and confident communication.
• Paid vacation and sick days.
• Fully remote work model.
• Opportunities for professional growth and support with professional certifications.
• Structured, personalized onboarding to help you ramp up effectively.

Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency.

Soft Does | Remote | Schedule: 16:00 – 00:00 (Kyiv time)
 
Come Back Agency is a recruitment agency that helps IT companies grow their teams with the right people. Right now, we are looking for a Content Manager for our client — Soft Does.

Soft Does is an IT company whose services are used by businesses across the US. We are actively scaling our organic presence and content marketing setup: hundreds of SEO-optimized service pages are already live, and we are expanding into new technology pages and blogs.

In this role, you will act as a core content specialist, combining hands-on content creation with task coordination and mentoring support for team members. You will work in close collaboration with the CEO and the SEO lead.

About the Role
 
Your primary goal will be creating and editing content, coordinating processes, and supporting the team. The main focus is hands-on SEO content creation for the US market, combined with day-to-day team coordination and mentoring.

What You'll Do
 

• Content Creation & Optimization: Write, edit, and optimize SEO texts using Surfer SEO, Gemini, and ChatGPT (deep rewriting, removing cliches, adapting drafts to our structure).
• CMS Work: Publish and format pages in CMS (WordPress/Shopify) using ready-made templates with high attention to detail.
• Coordination & Mentoring: Help colleagues with daily tasks, support onboarding, and share editorial quality standards.
• Keyword Work: Select and analyze keywords to optimize pages for both Google and AI search.
• Process Enhancement: Manage your own task flow independently, track performance metrics, and improve content creation speed.

What We're Looking For
 

• Experience: 1+ year of hands-on content creation and editing experience, supported by relevant work samples. Strong organizational and communication skills, with an interest in mentoring and team coordination. Previous leadership experience is a plus.
• US Market Focus: Experience creating B2B/IT content tailored specifically for the US market.
• SEO & AI Skills: Practical experience with SEO content optimization, keyword research, CMS publishing, and AI-assisted writing. Ability to fact-check, rewrite, and improve AI-generated drafts. Experience with Surfer SEO or similar tools is a plus.
• Language Proficiency: Upper-Intermediate (B2) English or higher — required for direct writing, thorough editorial control, and professional communication.
• Independence & Results: High self-organization, ability to manage your task flow independently, and a result-oriented approach without micro-management.
• Attention to Detail: Meticulous approach to quality, formatting, and structural accuracy across large volumes of web pages.

Nice to Have
 

• Experience working with or handling social media channels (Instagram, Facebook, LinkedIn) for IT or B2B brands.
• Familiarity with Google Search Console and web analytics tools.
• Background in IT services, agency environments, or tech companies.

What We Offer
 

• Work Schedule: Aligned with US business hours, 16:00 – 00:00 Kyiv time.
• Remote Work: 100% remote working format.
• Professional Growth: An opportunity to develop leadership skills through hands-on content work, mentoring, and team coordination.
• Supportive Environment: Paid vacation and sick days, structured onboarding, and continuous English language learning support.

Hiring stages: Recruiter screening → Technical task → Technical interview.
 
Apply with your resume and a short note outlining your relevant experience. You can also submit it through our website at comeback.ua. Selected candidates will be contacted by Come Back Agency.

At ZentixSoft, we are expanding our banking outstaffing operations and are looking for a strong Senior Data Engineer (Databricks) for a long-term enterprise banking initiative.
 

Below are the core details and parameters of the request:

• Domain: Banking / Financial Services.
• Format: 100% Remote (EU citizenship required).
• Duration: Initial 3-month contract with planned extension through 2029 (Long-term project).
• Start Date: ASAP.
   

🎯 Key Requirements (Must-Have):

1. Banking & ETL/ELT Experience: 5+ years of commercial experience as an ETL/ELT Data Engineer in complex financial services or banking environments handling big data sets.
2. Databricks & Core Tech: Direct production experience with Databricks (mandatory), alongside ETL/ELT tools (ODI, dbt Cloud), orchestration (Airflow, ODI), and GitHub.
3. Data Engineering & Quality: Solid background in metadata-driven development, designing scalable technical data models, performance tuning/troubleshooting, and implementing Data Quality (DQ) rules.
4. Ownership & Independence: Ability to take full ownership of tasks, perform 2nd/3rd level support, mentor team members, and drive delivery without micromanagement.
5. Communication: Strong English communication skills for effective collaboration in an Agile framework.
   
   Nice to Have
   - Experience working within the financial services industry
   - Familiarity with cloud platforms (e.g., AWS)
   - Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD)
   - Experience with near real time processing
   - Experience with reporting tools and their inpact on data layers
   - Conceptual understanding with Data Governance tools: Glossary, Data quality, RDM
   - Prior experience with building proactive monitoring solution components for reporting infrastructure

Junior Motion Designer 
 

We’re looking for a junior designer or someone with some hands-on experience. If you’re keen to grow in motion design and ready to learn, we’ll help you develop the skills you need for the role.

We’re also open to considering a more experienced, skilled specialist on a part-time basis.
 

What you’ll do:
— Create advertising creatives for gambling projects, from the initial idea to the final render;
— Work with footage, editing, and different visual materials;
— Find and select assets for creatives;
— Explore AI tools and develop your skills in using them.
 

What we’re looking for:
— Basic knowledge of Adobe After Effects and Photoshop;
— Willingness to learn, grow, and take feedback on board;
— Responsibility, initiative, and the ability to meet deadlines;
— A collaborative approach;
— A portfolio or examples of your work would be an advantage.
 

Experience in gambling and familiarity with AI tools are welcome but not required — we’re ready to teach you what you need to know.

We're looking for a Creative Strategist for a Paris-based, pre-seed (€5M funded) venture that builds creator-led Health & Fitness apps. The studio partners with fitness experts who bring the audience, while the company handles product, tech and growth.

You will work directly with these coaches to build their marketing strategies, define their voice and create content that drives app adoption. We want someone bold, resilient and fast-shipping, who can turn niche fitness expertise into scroll-stopping stories.

Key details

• Employment: Full-time
• Seniority: Mid-Senior
• Location: Lithuania (remote) · France (remote) · Spain (remote) · United Kingdom (remote) · Poland (remote) · Ukraine (remote)
• Location: remote but travels to Paris on a monthly basis are required

What you'll do

• Build marketing and content strategies together with fitness coaches and creators
• Define each coach's voice, positioning and storytelling
• Take ideas from concept to finished ad: scripts, briefs, collaboration with editors, creators and UA managers
• Produce organic and paid short-form content for TikTok, Instagram and YouTube
• Evaluate creative performance (hook rate, CTR, CPI, ROAS) and decide what to scale and what to kill
• Track platform trends and turn them into content quickly

Requirements

• 3–6+ years in social media marketing as a Creative Strategist
• Proven experience working directly with creators, influencers or coaches
• Hands-on experience producing organic and paid content for Instagram, TikTok and short-form video
• Willingness to be based in or travel to Paris

Nice to have

• Experience in the fitness, wellness or sports industry

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.

If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

- 1+ years of experience as a Data Engineer;
- Strong experience with Python;
- Proven experience with Databricks and Datafactory;
- Experience with AWS/Azure;
- Experience building ETL / ELT pipelines;
- Proficiency in SQL.

What you'll do:

- Developing ETL/ELT pipelines and data management solutions;
- Implementing data processing algorithms;
- Writing and optimizing SQL queries for data extraction and analysis;
- Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

- Working with a high-skilled engineering team on engaging and complex projects;
- Hands-on experience with the latest technologies;
- Direct communication with international clients and challenging tasks;
- Opportunities for personal and professional growth;
- Competitive salary pegged to USD;
- Paid vacation and sick leave;
- Flexible working hours;
- Friendly working atmosphere with zero bureaucracy;
- Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

Join the Dataforest Team!

We are actively expanding our team and looking for strong new talent to join our ranks. If you are a Data Engineer seeking a friendly team, a healthy working environment, and a flexible schedule — you have found the right place to send your CV!

You'll be a great fit if you have:

- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Dataforest are looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background (10+ years in the domain). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8–10+ members.
 

 What you’ll do:

• Team Leadership & Management: Lead and grow the Data Science department (8–10+ people), perform 1-on-1s, technical assessments, and performance reviews.
• Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
• Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
• R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.
   

 You'll be a great fit if you have:

• 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
• Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
• AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph, and AI Agents.
• Core Tech Stack:
  • Mastery of Python, algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
• English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

Greetings! We are looking for a systematic and experienced professional for

the position of Data Analyst for our company.

🧲 Magnetics is a digital company that develops and scales its own online products across competitive and fast-paced markets. Founded in 2014, we rely on data, bold hypotheses, and user experience to grow efficiently.

Requirements:
 

• 3+ years of work experience in the Data analyst, BI analyst, Product analyst or other similar analytics position
• Economic, math or technical education
• Proficient knowledge of BigQuery
• Strong experience with Tableau
• Ability to identify root causes of data anomalies and ability to test data
• Ability to work autonomously and keep the focus on the result
• Ability and readiness to learn fast

Will be a plus

• Experience with GCP services

How you'll be contributing:

• Supporting and Development BI reporting system (ETLs, DWH, BI, reporting andmonitoring from a scratch)
• Testing and validation of data after planned BI releases
• Analyzing the needs of the marketing and product teams in analytics and their implementation
• Search and selection of the best technical solutions adapted to current and future needs of teams
• Ad-hoc product analytics tasks and researches
• Monitoring and analyzing key product and payment funnel metrics

• Generating hypotheses and uncovering growth opportunities

   

Benefits of working with us:

🧲Office in Kyiv or Remote

🧲We cover 50% of the cost for individual courses, training, and language programs

🧲We cover 100% of the cost for team courses

🧲Free consultations with our lawyers and an additional 50% discount on any type of legal services.

🧲Health insurance

🧲Flexible schedule

🧲Regular salary reviews

🧲Team buildings in Ukraine

Ready to build analytics that drive real product decisions? Join Magnetics and let's grow together. Send us your CV!

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

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

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. The front end is a set of TypeScript/React apps running in a desktop container and streaming real-time data.
We're hiring a hands-on SDET to own UI test automation: extend our Playwright framework, make streaming, multi-window workflows testable, and add quality gates to CI, including front-end performance. You'll co-architect and co-own a unified testing framework with our backend SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

• Co-architect and co-own, with our backend SDET, a unified testing framework that covers every area we test:
◦ Shared foundations: fixtures, test data, configuration, environments and reporting are shared across UI, API, Kafka, database and performance suites.
◦ Cross-layer scenarios: one scenario can cross layers. For example, a test places an order in the UI, then checks the resulting event and the database record.
◦ One quality view: results from every suite feed a single view of release quality.
• Design, build and maintain end-to-end and component tests with Playwright and TypeScript for trading and analytics workflows.
• Extend our shared test toolkit: page objects, fixtures, and mocks of desktop-container APIs.
• Build front-end harnesses for real-time data: mocked WebSocket and REST responses, controlled test data, and deterministic replay of streaming updates.
• Cover UI failure modes: disconnects and reconnects, expired sessions, permission failures, bursty feeds, and stale data.
• Own front-end performance testing:
◦ Startup and responsiveness: measure app startup and time-to-first-data, and check that the UI stays responsive under high update rates.
◦ Grid behaviour at scale: measure render and scroll performance of grids with tens of thousands of rows.
◦ Container resources: track memory growth and leaks in long-running desktop sessions, and CPU cost per window.
◦ Regression gates: turn the results into budgets that fail CI on a regression.
• Build and maintain isolated, on-demand test environments on Linux and AWS:
◦ Lifecycle: environments are created per branch or per run, start with seeded data and known state, and are torn down automatically.
◦ Isolation: test runs don't interfere with each other or with shared environments.
• Validate front-end/back-end contracts and payload schemas.
• Run UI suites in CI/CD: sharded parallel runs, scheduled regressions, and reporting on pull requests.
• Make failures diagnosable: Playwright traces, screenshots and video, and correlation with telemetry.
• Work with UI engineers, business analysts and traders to automate critical workflows and define QA acceptance criteria.
• Use AI-assisted tools where they help with writing, maintaining and triaging tests.

Mandatory Skills Description:

• 5+ years of UI test automation, including designing or significantly extending a framework.
• Strong TypeScript/JavaScript and Node.js skills, with substantial hands-on Playwright experience. Strong Cypress or Selenium experience plus willingness to move to Playwright is also fine.
• Working Python skills (pytest, Playwright for Python): test tooling, data setup, backend checks inside UI scenarios, and contributing to the shared framework.
• Experience testing React apps with complex data grids (AG Grid or similar), dynamic forms and heavy client-side state.
• Experience mocking network traffic in the browser (REST and WebSocket) and testing authentication flows.
• Front-end performance testing experience:
◦ Profiling: Chrome DevTools Performance and Memory panels, and the Lighthouse and performance APIs.
◦ Diagnosis: finding long tasks, layout thrashing and memory leaks.
◦ Budgets: setting performance budgets and enforcing them in CI.
• CI/CD experience with Azure DevOps (preferred) or Jenkins/GitHub Actions, and Git.
• Experience building isolated test environments:
◦ Linux: comfortable on the command line, with shell scripting, processes, networking and log troubleshooting.
◦ Docker: Docker and Docker Compose.
◦ AWS: EC2, ECS or EKS, S3, IAM, VPC and CloudWatch.
◦ Infrastructure as code: Terraform, CloudFormation or CDK.
• Strong reliability habits: isolated tests, deterministic waits instead of sleeps, controlled retries, and triage of flaky tests.
• Experience with test reporting and traceability (Playwright reports, Allure, Azure Test Plans, TestRail).
• Clear communication and good documentation.

Nice-to-Have Skills Description:

• Trading or buy-side experience: OMS/EMS, algos, positions, allocations, or risk.
• Java exposure, enough to read service code and contribute to backend suites in the shared framework.
• Desktop container automation: Electron, OpenFin, or similar.
• Component testing (Vitest or Jest). Storybook visual or interaction testing.
• Accessibility and visual-regression testing.
• React Profiler and familiarity with React rendering performance (memoization, virtualization).
• OpenTelemetry or similar real-user-monitoring tools, and using production RUM data to pick performance test scenarios.

Languages:

English: B2 Upper Intermediate

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. It runs on a distributed, event-driven backend.
We're hiring a hands-on SDET to own backend test automation: service, integration, contract, data, resilience and performance testing across the platform. You'll co-architect and co-own a unified testing framework with our UI SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

Co-architect and co-own, with our UI SDET, a unified testing framework that covers every area we test:
◦ Shared foundations: fixtures, test data, configuration, environments and reporting are shared across REST, WebSocket, Kafka, database, performance and UI suites.
◦ Cross-layer scenarios: one scenario can follow a workflow from the UI through services and events to the database.
◦ One quality view: results from every suite feed a single view of release quality.
• Design and build automated service, integration and contract tests for REST APIs, WebSocket services, and Kafka producers and consumers.
• Test event-driven flows end to end: message ordering, idempotency, at-least-once and exactly-once semantics, replays, offset handling, dead-letter queues, and schema evolution (Avro, Protobuf, JSON Schema, Schema Registry).
• Build harnesses with controlled test data and service virtualization so suites run consistently and can be repeated.
• Design and build isolated, on-demand test environments on Linux and AWS:
◦ Lifecycle: full service stacks (services, Kafka, databases) are created per branch or per run, start with seeded data and known state, and are torn down automatically.
◦ Isolation: test runs don't interfere with each other or with shared environments.
◦ Infrastructure: the environments are defined as code, with attention to cost.
• Write data-validation tests across relational and analytical databases. Cover reconciliation and aggregation correctness.
• Cover resilience and failure modes: broker and consumer outages, network partitions, timeouts, throttling, slow consumers and backpressure, reconnects, and authentication failures.
• Own backend performance testing:
◦ Latency and throughput: design and run load, stress, soak and spike tests on services, messaging pipelines, streaming and query APIs.
◦ Baselines and regressions: set baselines and service-level targets (p50/p99 latency, throughput, consumer lag), and catch regressions in CI.
◦ Bottlenecks: profile them down to the CPU, GC, query or network layer.
◦ Database queries: track query performance on analytical stores. Know how query shape and data volume drive response time.
• Own backend test execution in CI/CD: parallel runs, scheduled regressions, environment setup and teardown, and release quality gates.
• Make failures diagnosable: structured logs, distributed traces (OpenTelemetry), correlation IDs across services, and clear reports.
• Work with backend engineers, infrastructure, business analysts and traders to define and automate critical business workflows.
• Use AI-assisted tools where they speed up writing tests and analysing failures.

Mandatory Skills Description:

• 5+ years of backend or service test automation, including framework design.
• Strong Python (pytest, requests, asyncio, confluent-kafka or similar) for test frameworks, tooling and data validation.
• Strong Java (JUnit 5, REST Assured, AssertJ, or similar) for testing JVM services.
• Working TypeScript and Node.js skills: contributing to UI and cross-layer suites in the shared framework, and Node-based tooling (k6 scripts, Playwright API tests).
• Hands-on Kafka experience: producing and consuming in tests, consumer groups, partitions and offsets, serialization and schema registry, and Kafka Streams or Connect.
• Solid networking fundamentals: TCP/IP, HTTP/1.1 and HTTP/2, WebSockets, TLS, DNS, load balancers, latency and packet loss. Able to debug with tcpdump/Wireshark, curl and similar tools.
• Strong SQL and database experience (PostgreSQL, SQL Server, or similar) for test data setup, verification and cleanup. Familiarity with columnar or analytical databases.
• Hands-on performance and load testing:
◦ Tools: k6, Gatling, JMeter or Locust, including Kafka throughput benchmarking.
◦ Profiling: JVM tuning and profiling (GC, JFR, async-profiler) or Python profiling.
◦ Analysis: reading latency distributions and percentiles correctly, including coordinated omission.
• API, authentication and contract testing: OAuth/JWT flows, payload and schema validation, and service virtualization (WireMock, MockServer, Hoverfly).
• Experience building isolated test environments:
◦ Linux: strong command-line skills, with shell scripting, systemd, processes, networking and performance troubleshooting.
◦ Containers: Docker, Docker Compose and Testcontainers.
◦ AWS: EC2, ECS or EKS, S3, IAM, VPC, MSK or RDS, and CloudWatch.
◦ Infrastructure as code: Terraform, CloudFormation or CDK.
• CI/CD with Azure DevOps or Jenkins, and Git.
• Strong reliability habits: isolated tests, controlled retries, failure-mode testing, and triage of flaky tests.
• Clear communication and good documentation.

Nice-to-Have Skills Description:

• Trading or buy-side experience: OMS/EMS, the FIX protocol, market data, positions, allocations, or risk.
• kdb+/q, or other time-series databases used for tick data.
• Contract testing with Pact. Property-based testing (jqwik, Hypothesis).
• Kubernetes and Helm.
• Chaos and fault-injection tools (Toxiproxy, Chaos Mesh).
• Observability tools: OpenTelemetry, Grafana, Prometheus.
• Experience with large-scale distributed systems.

Languages:

English: B2 Upper Intermediate

As a VIP Customer Support Specialist, you will be responsible for managing and nurturing relationships with our high-value clients. Your goal will be to ensure a premium customer experience by providing personalized, efficient, and solution-driven support. You will work closely with internal teams to address client needs, resolve issues, and contribute to the growth of our VIP program.
Key Responsibilities

• Serve as the primary point of contact for VIP customers, offering personalized support via email, chat, and phone.
• Proactively manage and enhance the overall VIP experience by understanding customer preferences, behaviors, and needs.
• Resolve inquiries and issues in a timely and professional manner, ensuring high levels of satisfaction.
• Collaborate with cross-functional teams (Marketing, Product, Payments, etc.) to address client concerns and provide tailored solutions.
• Monitor and analyze VIP activity to identify opportunities for increased engagement and retention.
• Maintain up-to-date knowledge of company products, promotions, and industry trends.
• Assist in the organization and execution of exclusive events and promotions for VIP clients.
• Provide feedback to improve processes, products, and customer experience.

Qualifications

• Experience: Minimum 2+ years in customer support, account management, or a related role, preferably in the iGaming industry.
• Language Skills: Fluent in English (additional languages are a plus).
• Skills:
  • Strong communication and interpersonal abilities.
  • Problem-solving mindset with attention to detail.
  • Ability to work independently while contributing to a team environment.
  • Proficiency in CRM tools and support systems.