Jobs at Djinni

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!

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. 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.

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 an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

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

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

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: 

• Create and maintain high-quality technical documents.
• Collaborate with other developers and designers to create user-friendly interfaces.
• Troubleshoot and debug software applications.
• Test 3D modelling software to ensure quality and accuracy.

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.
• 3+ years of experience in C++ software development.
• Strong knowledge of modern C++ (C++17 or newer), STL, and multithreading.
• Basic Linux understanding.
• Strong debugging and problem-solving skills.
• Experience working with complex codebases and third-party libraries/SDKs.
• Ability to investigate and resolve performance and memory-related issues.
• Good written and spoken English.
• Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.

Nice to Have:

Related to core project:

• Experience with CAD/CAM software or CAD file formats (STEP, IGES, CATIA, etc.).
• Experience with geometry processing, computational geometry, or 3D model manipulation.

Related to side projects:

• Experience developing software on Windows.
• Qt development experience.
• Experience with Python for automation or tooling development.

Job Description
 

• Overall responsibility to analyze and define the business processes, related operational procedures and working methods for the assigned domain
• Identify opportunities for system efficiency improvements and review them with the Business Process Owner (BPO) for approval.
• Challenge the local business requirements to accept the current D365 functionalities as standard with limited exceptions
• Gather business requirements, deliver the required acceptance criteria, and discuss these with the Group IT analysts where applicable to understand the impact on the system set-up
• Test the provided development solutions (RFC’s), evaluate the functionality and fit to the    acceptance criteria together with the domain lead
• Assist in training of local key users on D365 specifically CRM
• Provide support to the data cleaning team (Ukraine)  (normally done before an entity goes live) and support processes to maintain data quality
• Work with the Ukraine team to provide Hypercare support after roll-outs
• Provide second line support after hypercare (i. e . review issues of go live countries, find solutions, analyse root cause) and provide support to the Ukraine team on CRM tickets raised.
• Support the key users in the definition and gathering of the user acceptance test scenarios 
• Provide key user Support during the User Acceptance Training 
• Update domain work instructions when applicable 
• Provide day to day operational support/guidance to the commercial entities where required
• Overall responsible for the yearly Customer Survey Project
• Access control - CRM roles
• Ad hoc projects as and when required

Required competencies:

In depth knowledge of the business processes -  CRM specifically and understanding the integration into F&O

Soft skills: 

Good Communication 

Critical thinking

Problem-solving

Negotiation skills

Team player skills