Jobs at Djinni

About the Opportunity

We are hiring for our partner — an international iGaming business operating two online casino brands focused primarily on Tier 1 markets.

We are looking for a PSP Specialist with hands-on experience working with LATAM payment service providers (PSPs) to support payment provider evaluation, business analysis, technical integrations, and ongoing payment performance optimization.

The key objective of this role is to evaluate whether potential PSP partnerships are commercially viable and operationally efficient for the business.

You will analyze PSP proposals, assess payment economics, review technical integration requirements, coordinate with internal teams and external providers, and monitor PSP performance after launch.

Practical experience with LATAM PSP providers and a strong understanding of regional payment methods and market specifics are essential for this position.

Key Responsibilities

• Identify, evaluate, and compare potential PSPs and payment methods, with a focus on LATAM markets.
• Build business cases and financial calculations to assess PSP commercial viability.
• Analyze incoming and outgoing transaction volumes, fees, conversion and approval rates, reserves, settlements, FX, limits, chargebacks, and payout conditions.
• Research LATAM payment providers, local payment methods, and regional payment solutions.
• Compare PSP proposals and prepare structured recommendations for provider selection.
• Review technical documentation and assess integration requirements, including APIs, webhooks, callbacks, transaction statuses, deposits, withdrawals, and refunds.
• Coordinate PSP integrations with external providers and internal Product and Development teams.
• Support integration testing, troubleshooting, and go-live processes.
• Monitor PSP performance after launch, analyzing turnover, approval rates, transaction costs, payment failures, and technical stability.
• Compare actual PSP performance against initial business calculations and identify optimization opportunities.
• Prepare payment performance reports, business insights, and recommendations for management.

Requirements

• 2+ years of experience in PSP management, payment operations, payment integrations, acquiring, or payment analytics.
• Hands-on experience working with LATAM PSP providers is mandatory.
• Good understanding of LATAM payment markets, local payment methods, and regional payment specifics.
• Experience in iGaming, preferably with online casino deposit and withdrawal flows.
• Strong understanding of PSPs, acquiring, payment gateways, APMs, settlements, reserves, chargebacks, refunds, and FX.
• Experience evaluating PSP commercial proposals and calculating payment costs and business economics.
• Strong analytical and numerical skills.
• Advanced Excel / Google Sheets skills.
• Ability to read and understand technical documentation and assess payment integration requirements.
• Understanding of APIs, webhooks/callbacks, transaction statuses, and payment flows.
• Experience participating in PSP integrations, testing, and technical onboarding.
• Ability to communicate effectively with business, technical teams, and international payment providers.
• English sufficient for professional communication with international PSPs.

Nice to Have

• Established relationships with LATAM PSP providers.
• Experience working with multiple LATAM countries and local payment methods.
• Experience with both fiat and cryptocurrency payment solutions.
• Experience managing PSP performance across multiple online casino brands.

What We Offer

• Opportunity to work with two international online casino brands focused primarily on Tier 1 markets.
• Hands-on involvement with international PSPs and LATAM payment providers.
• Exposure to both fiat and cryptocurrency payment solutions.
• Direct involvement in PSP selection, commercial evaluation, integrations, and performance optimization.
• Opportunity to develop expertise at the intersection of Payments, Business, Finance, Product, and Technology.

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environments, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

As a Computer Vision Engineer focused on Visual Place Recognition (VPR), you will own the models and pipelines that answer a critical question in the field: where are we? You will research, train, and ship VPR systems that work under viewpoint change, illumination shift, seasonal variation, and degraded imagery typical of real operations — not only clean academic benchmarks.

If you thrive in startup environments, are proactive, and enjoy turning research into reliable production systems, this role is a chance to shape core localization capability for a defense-tech platform used in live operations.

Responsibilities

• Own Visual Place Recognition end-to-end: problem framing, dataset curation, training, evaluation, and deployment into the FSV Platform.
• Design, train, and iterate on VPR models and retrieval pipelines — global descriptors, local feature matching, and hybrid approaches as the task requires.
• Work with and extend modern VPR / visual localization methods (for example NetVLAD, MixVPR, CosPlace, EigenPlaces, AnyLoc, DINOv2-based descriptors, SuperPoint / SuperGlue / LightGlue-style matching) and know when classical or learning-based methods fit better.
• Build robust training pipelines: data prep, augmentations for domain shift, hard-negative mining, loss design, hyperparameter search, and reproducible experiment tracking.
• Evaluate models beyond top-line recall — failure modes under night, blur, compression, seasonal change, and map–query domain gap; define metrics that matter for field use.
• Package and serve models for production inference (GPU and constrained / edge settings when needed), working with backend and MLOps on versioning, monitoring, and redeployment.
• Collaborate with backend, geospatial, and field teams to integrate VPR into mapping, localization, and digital-twin workflows.
• Use AI coding tools daily, and review, test, and stand behind every line and every model that ships.
• Run small PoCs on new architectures or training recipes, measure them honestly, and bring the team a reasoned recommendation.

Requirements

• 3+ years in computer vision / deep learning for real products or research transferred to production.
• Strong Python and hands-on experience with PyTorch (or equivalent) for training and debugging vision models.
• Proven experience with Visual Place Recognition, visual localization, image retrieval, or closely related geo-localization / SLAM-adjacent perception.
• Ability to train and fine-tune VPR / retrieval models from scratch or from public checkpoints: datasets, losses, mining strategies, and evaluation protocols (e.g. recall@N, precision–recall under realistic splits).
• Working knowledge of modern VPR and matching literature and the judgment to pick methods for viewpoint, appearance, and domain shift — not only recreate paper numbers.
• Experience with large-scale feature indexes / ANN search (FAISS or similar) and practical retrieval system design.
• Solid understanding of CNN and transformer backbones, representation learning, and metric learning.
• Comfort debugging models and data issues that show up in the field (noisy labels, distribution shift, rare failure cases).
• Experience in a fast-paced environment with high ownership and ambiguous requirements.

Nice to have

• Published work or strong open-source contributions in VPR, visual localization, or image retrieval.
• Multi-view geometry, SfM / SLAM, or photogrammetry experience (COLMAP, OpenMVG, etc.).
• Geospatial stack: georeferencing, map alignment, GDAL, orthophotos, point clouds.
• Model optimization for deployment: ONNX, TensorRT, quantization, distillation.
• Video / sequential place recognition, temporal consistency, or map maintenance over time.
• Experience with aerial / drone imagery and GNSS-denied or contested environments.
• CUDA and GPU training at scale.
• Defense tech or dual-use background.

Security Eligibility

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defense technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

• Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories
• You have no regular personal, financial, business, or professional contact with individuals in those territories
• You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why us

• With us, you will become part of a team of professionals who strive to contribute to the development of advanced technologies.
• We value teamwork and create an atmosphere of mutual support where everyone can unleash their potential.
• Flexible work schedule.
• Paid vacation and sick days.

Hiring process

1. Technical Interview (CV / VPR deep dive + practical discussion of training and evaluation).
2. PM & C-level management Interview.

About Farsight Vision:

Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations — and if that interests you, read on.

We are looking for a Robotics Engineer to own motion control for our unmanned ground vehicle (UGV) end-to-end — from control theory on paper to a robot that actually moves the way you designed it to. This is not a role for someone who wants control loops handed to them pre-tuned: you will design, implement, and validate them on hardware yourself.
 

Responsibilities:

• Implement navigation and control algorithms for different types of UGVs: differential drive, tracked wheels, Ackermann steering, etc.
• Design and implement control algorithms (PID and beyond) that translate navigation commands into reliable robot motion.
• Own the control stack end-to-end — from algorithm design through tuning and validation on the physical unit.
• Simulate physical driving for different types of wheels and terrains before deploying to hardware.
• Work closely with the Robotics team on actuator and sensor integration, since control quality is only as good as what it’s built on.
• Debug control issues that only show up in the field, not in simulation — this role is hands-on with the physical robot in Lviv.
• Collaborate with the Perception Engineer so control decisions correctly account for obstacle and environment data.
• Propose architecture and design decisions rather than waiting to be handed a fully-scoped ticket: this is a small team building a new capability almost no one in the Ukrainian market has shipped yet.

Requirements:

• Strong mathematical foundation: linear algebra, calculus, and the algorithmic thinking control systems are built on.
• Practical experience with control theory — PID control at minimum, ideally more advanced control approaches.
• Background in robotics, guidance, or navigation systems (e.g., autonomous vehicle guidance, drone terminal guidance, or similar).
• Experience with physics simulators (e.g. Gazebo, NVIDIA Isaac, MATLAB, Simulink), with the ability to simulate dynamic models and verify controller performance before deployment.
• Experience working with sensors such as IMU, LiDAR, etc.
• Knowledge of state estimation and filtering (e.g. Kalman filter, extended Kalman filter, complementary filter).
• Solid programming skills in C++ (and Python for prototyping).
• Good OOP skills — ability to write and design clean code that’s flexible to extend and maintain.
• Comfortable working close to hardware, not purely in a software abstraction layer.
• Upper-Intermediate+ English.

Nice to have:

• Experience with ROS/ROS2
• Path planning algorithms (A*, D*, RRT, etc.)
• Prior work on UAV or UGV guidance/navigation systems
• Defense-tech or military-tech industry exposure
• Embedded systems or hardware-adjacent experience

Security Eligibility:

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defence technology company handling sensitive operational data, we have a responsibility — legal, ethical, and practical — to ensure the integrity of everyone on our team.

All candidates must be able to confirm the following:

Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories

You have no regular personal, financial, business, or professional contact with individuals in those territories

You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why Farsight Vision

We are a startup operating under real-world conditions — our product is in active deployment, and the pace reflects that. We are not a company where you get to run the same experiment three times until it’s elegant — we need someone who wants to see their control loop working on a real robot within weeks, not quarters, and who is motivated by the fact that what you build here gets used, not shelved.

Flexible working hours. Paid vacation and sick leave. Direct access to founders and leadership.

Application Process:

• Apply with your CV and a brief cover letter explaining your interest and relevant experience
• Complete a short practical assignment involving a control/navigation problem drawn from our platform
• Interview with the Recruiter and Lead Robotics Engineer

🚀 Anti-Fraud Traffic Analyst (Affiliate Marketing | iGaming)

About the Role

We're looking for an Anti-Fraud Traffic Analyst to join our Affiliate Marketing team and take ownership of traffic quality across our iGaming brands targeting Tier 1 markets (UK & Netherlands).

This is not a classic payment or KYC anti-fraud role. Your primary focus will be affiliate traffic analytics, FTD validation, fraud detection, and traffic quality assessment before partner payouts are approved.

You'll work closely with Affiliate Managers, Marketing, BI, and Product teams to ensure that every acquisition channel delivers real, valuable players while continuously improving fraud detection processes through data analysis and automation.

What You'll Do

• Analyze affiliate traffic performance across partners, campaigns, and traffic sources.
• Validate FTD quality before billing and identify low-quality or fraudulent acquisitions.
• Detect traffic manipulation, including:
  • Multi-accounting;
  • Bot traffic;
  • Device and identity overlaps;
  • VPN / Proxy usage;
  • Bonus abuse;
  • Fake registrations and deposit patterns;
  • Incentivized or low-intent traffic.
• Investigate suspicious behavioral patterns using player activity, retention, deposits, gameplay, and conversion metrics.
• Cross-check data between Affilka, tracking platforms, BigQuery, and internal BI tools.
• Build clear evidence-based reports supporting traffic rejection decisions.
• Develop and continuously improve anti-fraud rules, validation logic, and traffic quality standards.
• Identify recurring fraud patterns and recommend preventive solutions.
• Collaborate closely with Affiliate Managers to improve partner quality and optimize acquisition performance.
• Work alongside Marketing, BI, Product, and CRM teams to understand how traffic quality impacts long-term player value.

What We're Looking For

• 1–3+ years of experience in Affiliate Marketing, Traffic Analytics, Anti-Fraud, Media Buying, or iGaming Analytics.
• Strong understanding of affiliate traffic, player acquisition funnels, and common fraud schemes.
• Experience analyzing acquisition quality beyond simple conversion metrics.
• Confident working with large datasets using Excel or Google Sheets.
• Basic SQL skills (SELECT, JOIN, GROUP BY).
• Experience working with platforms such as:
  • Affilka;
  • Keitaro;
  • Voluum;
  • or similar affiliate tracking systems.
• Strong analytical mindset with the ability to justify decisions using data.
• English level B1+.

AI & Automation

We highly value specialists who actively leverage AI to improve efficiency.

Experience using AI tools for:

• automating repetitive workflows;
• building dashboards and reporting;
• data analysis;
• writing SQL queries;
• developing internal analytical tools;
• creating lightweight internal CRM or monitoring solutions

will be considered a significant advantage.

Nice to Have

• Experience working with Tier 1 markets (UK / Netherlands).
• Experience with device fingerprinting solutions.
• Knowledge of KYC / AML processes.
• Experience with BI platforms (Power BI, Looker, Tableau).
• Python or scripting skills for workflow automation.

What We Offer

• Opportunity to build and improve anti-fraud processes rather than simply follow existing rules.
• Direct impact on affiliate traffic quality and marketing profitability.
• Close collaboration with Affiliate, BI, Marketing, CRM, and Product teams.
• Freedom to introduce new analytical approaches, automation, and fraud detection methods.
• Full-time remote position.
• Working hours: Monday–Friday, 10:00–19:00 (EET).
• A fast-moving product environment where data drives decision-making.

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.
• 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

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

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!

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.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

We are looking for a hands-on Project Manager  who can bridge business needs, user requirements, product strategy, and technical execution.

This role is ideal for someone who enjoys working in a fast-moving startup environment, can quickly understand complex systems and APIs, translate ideas into clear product specifications, and use modern AI tools to accelerate product discovery, prototyping, documentation, and delivery.

The ideal candidate is highly adaptable, technically curious, detail-oriented, and comfortable owning work end-to-end — from gathering requirements and analyzing systems to creating prototypes, supporting development, preparing user documentation, and enabling go-to-market adoption.

Key Responsibilities

1. Product Discovery & Requirements Gathering

• Work closely with customers, stakeholders, business teams, and internal users to understand business needs and pain points.
• Gather, analyze, and document business and functional requirements.
• Convert business requirements into clear, actionable product requirements for engineering and design teams.
• Identify gaps, dependencies, edge cases, assumptions, and potential risks.
• Facilitate requirement discussions and drive alignment between business and technical stakeholders.
• Continuously refine requirements based on feedback, changing priorities, and new information.

2. Product Specifications & Documentation

• Create detailed product specifications, functional specifications, user stories, acceptance criteria, workflows, and feature descriptions.
• Clearly define expected system behavior, business rules, validations, user journeys, and edge cases.
• Maintain accurate and up-to-date product documentation throughout the development lifecycle.
• Ensure requirements are sufficiently detailed for engineering teams to implement without ambiguity.

3. AI-Assisted Prototyping

• Create rapid product prototypes and proof-of-concepts using Claude and other AI-powered tools.
• Use AI tools to transform requirements and concepts into interactive prototypes, workflows, UI concepts, and functional demonstrations.
• Experiment with different AI tools to accelerate product discovery, analysis, documentation, and delivery.
• Continuously explore new AI capabilities and identify opportunities to improve product development processes.

4. System & Technical Analysis

• Perform system analysis to understand existing architecture, workflows, integrations, dependencies, and limitations.
• Analyze existing features and systems to identify improvement opportunities.
• Understand how new features will interact with existing functionality.
• Work closely with developers and technical teams to clarify implementation approaches and resolve functional ambiguities.
• Analyze data flows, business processes, system dependencies, and integration points.

5. API & Integration Analysis

• Review and analyze API documentation, including endpoints, request/response structures, authentication, parameters, error handling, and integration requirements.
• Understand how internal and third-party APIs can support product requirements.
• Identify API limitations, dependencies, and potential integration risks.
• Translate API capabilities into clear product and functional requirements.
• Support engineering teams by providing clear documentation and context around API-related requirements.

6. User Guides & Product Enablement

• Create clear and practical user guides, feature documentation, FAQs, release notes, and internal documentation.
• Translate complex product functionality into easy-to-understand instructions for end users and internal teams.
• Work with support, sales, customer success, and other teams to ensure they understand new functionality.
• Keep documentation aligned with product releases and feature changes.

7. Go-to-Market & Feature Adoption

• Support go-to-market activities for new features and product capabilities.
• Translate product functionality into clear customer-facing value propositions and use cases.
• Work with marketing, sales, customer success, and other teams to support feature launches.
• Help develop feature adoption strategies, onboarding materials, release communications, and enablement content.
• Gather post-launch feedback and identify opportunities to improve adoption and user experience.

8. Agile Product Delivery

• Work closely with engineering, design, QA, and business teams throughout the product lifecycle.
• Participate in sprint planning, refinement, demos, reviews, and other product development activities.
• Clarify requirements during development and help resolve questions quickly.
• Validate completed features against requirements and acceptance criteria.
• Continuously prioritize work based on business value, customer impact, technical dependencies, and company priorities.

Required Skills & Experience

• Experience in Product Management, Business Analysis, Product Analysis, or a similar role.
• Strong ability to gather, analyze, and document business and functional requirements.
• Excellent understanding of software products, web applications, workflows, and system behavior.
• Ability to create detailed product specifications and user stories.
• Strong analytical and problem-solving skills.
• Ability to understand and analyze APIs and technical documentation.
• Experience creating prototypes or proof-of-concepts using modern tools.
• Hands-on experience with AI tools such as Claude, ChatGPT, and other AI-assisted productivity/development tools.
• Strong written and verbal communication skills.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Strong attention to detail without losing sight of the bigger product/business objective.

Startup Mindset

We are looking for someone who thrives in an environment where priorities can change quickly and roles are not rigidly defined.

You should be someone who:

• Adapts quickly to changing business and product requirements.
• Is comfortable working with ambiguity and figuring things out independently.
• Takes ownership rather than waiting for detailed instructions.
• Is willing to be hands-on across product, analysis, documentation, prototyping, and delivery.
• Learns new technologies and tools quickly.
• Is comfortable switching between strategic thinking and detailed execution.
• Can move quickly while maintaining a high standard of quality.
• Enjoys experimenting with AI and emerging technologies.
• Is proactive about identifying problems and proposing solutions.

• Can operate effectively in a dynamic, high-growth startup environment.

   

What Success Looks Like

In this role, you will be successful if you can take a business problem or product idea and independently move it toward execution by:

Understanding the problem → Gathering requirements → Analyzing the system → Defining the solution → Creating AI-assisted prototypes → Writing detailed specifications → Supporting development → Validating the feature → Creating user documentation → Supporting go-to-market → Driving feature adoption.

Ideal Candidate

The ideal candidate is a product thinker with strong business analysis capabilities and enough technical understanding to work comfortably with engineering teams.

You don't need to be a software developer, but you should be technically curious, comfortable reading API documentation and system flows, capable of understanding how software works, and willing to get hands-on with modern AI tools to accelerate your work.

If you enjoy turning ambiguous ideas into well-defined products and are excited about using AI to work faster and smarter, this role is for you.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Learn and fulfil your potential in an open, knowledge-driven culture.
• Share in our ambitious vision and make a meaningful difference towards autonomous manufacturing.

Responsibilities:

• Review and analyze system specifications.
• Collaborate with QA Engineers to develop effective strategies and test plans.
• Execute test cases and analyze results.
• Evaluate product code according to specifications.
• Create logs to document testing phases and defects.
• Report bugs and errors to development teams.
• Help troubleshoot issues.

You will be joining a well-versed team if you have:

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, Software Engineering or a relevant field.
• Minimum of three years of experience in manual testing complex browser based applications.
• Experience in Scrum Agile.
• Experience in working with EU/US clients.
• Working knowledge of test management software and SQL.
• Attention to detail.
• Analytical mind and problem-solving aptitude.
• Strong organizational skills.

We’re looking for a Casino & Promotions Manager to take full ownership of our casino product and bonus mechanics. In this hybrid role, you will be responsible for the entire player experience — from managing the game catalog and provider relationships to the design, setup, economics, and protection of bonus campaigns.

Your goal is straightforward: make sure players always find the right games, enjoy attractive promotions, and drive GGR, engagement, and retention, all while keeping the business profitable and secure from abuse.

This is a hands-on product role for someone who understands how games and bonuses work in practice. You’ll work with data, manage providers, configure mechanics, and make decisions that players feel every time they open the lobby.

What you’ll be doing
Game Catalog & Lobby Merchandising

• Own the game catalog: add/update titles, maintain accurate metadata (provider, RTP, volatility, tags).
• Build and merchandise the lobby structure (categories, New, Popular, Jackpots) using banners, game positioning, and seasonal collections.
• Plan new game releases and coordinate them with CRM and Design teams.
   

Bonus Setup, Launch & Economics

• Set up bonuses in the in-office back office (welcome packs, free spins, cashback, promo codes) and configure rules (wagering, max win, game contribution).
• Calculate the cost and ROI of each bonus before launch, tracking its share of GGR/NGR and impact on deposits.
• Work with the CRM team to link bonuses to campaigns (e.g., Customer.io) and prepare bonus T&C with Legal and Compliance.
   

Provider Relationships & Network Promos

• Manage relationships with game providers and aggregators: onboarding, exclusive releases, and escalations.
• Run promotional mechanics from game studios (Drops & Wins, tournaments, network jackpots).
• Ensure games meet licensing and geo-restriction requirements.
   

Analytics, Anti-Abuse & Risk Control

• Analyse game, provider, and bonus performance (GGR, turnover, bet count, RTP, wagering completion rate).
• Run A/B tests on lobby layouts, game placements, and promotional offers.
• Monitor and prevent bonus abuse (multi-accounting, hedging, bonus hunting) by building smart rules that protect the business without creating friction for honest players.
   

 What we’re looking for

• 2–3+ years as a Casino Manager, Game Manager, Bonus Manager, or Promo Manager in iGaming.
• Deep understanding of game & bonus mechanics: RTP, volatility, hit rate, jackpots, wagering, sticky vs non-sticky bonuses, and game contributions.
• Market Knowledge: Strong knowledge of key providers (Pragmatic Play, Evolution, Play’n GO, etc.), aggregators (SoftSwiss, Slotegrator, etc.), and standard back-office setups.
• Analytical skills: Experience calculating bonus economics (cost, ROI) and analyzing large data sets. Confident in Excel / Google Sheets; SQL basics are a plus.
• Anti-fraud awareness: Knowledge of the main bonus abuse patterns and how to prevent them.
• High attention to detail — a single configuration mistake can cost real money.
• English Upper-Intermediate or higher.
   

 Nice to have

• Experience in LATAM markets.
• Experience with in-house platforms, CRM tools (Customer.io), and BI tools (Metabase, Tableau, Looker).
• Background in gamification (missions, loyalty programmes) and sportsbook promotions.
• An existing network of contacts at providers and aggregators.
   

 What we offer

• Fully remote with a flexible schedule.
• The chance to shape the casino product and bonus engine from the ground up as we expand across LATAM.
• Direct influence on the product: short decision paths and no bureaucracy.
• Paid vacation and sick days.
• Probation period: 3 months.