Jobs at Djinni

What We Offer

• 100% remote work opportunity and flexitime - choose working hours between 8:00-20:00 Kyiv time.
• Personal Growth Budget in USD (Travel, Health & Psychotherapy, Sports, Education & Training, Software, Work Equipment).
• Competitive compensation in USD with regular salary reviews.
• Paid vacation, holidays, and sick leave.
• Continuous professional growth through mentorship, feedback, and knowledge sharing.
• English Speaking Club with a native speaker.
• Access to AI tools, including coding assistants for engineers and LLM subscriptions for non-technical specialists.
• Projects with clients across Europe and North America across FinTech, Logistics, Hospitality, E-commerce, Legal, Music, and other industries.
• Transparent processes, flat management structure, and a supportive team culture.

About the Role

• We are hiring a Senior Full-Stack Engineer to become one of the strongest technical contributors on the team.
• The single most important thing we’re looking for is experience scaling a SaaS product. We want someone who has already seen what happens as a live platform grows: increasing complexity, technical debt, scaling bottlenecks, evolving data models, unreliable integrations, and engineering decisions that worked at one stage but became expensive at the next.

• This is a hands-on senior engineering role with strong technical leadership expectations. You will design and write production code, own substantial systems end to end, influence architectural decisions, challenge technical direction when needed, and raise the engineering level of the people around you.

   

Project

• FinTech SaaS platform built for the restaurant and hospitality industry. Our products handle tip pooling and payouts, payroll, reporting and compliance, labor and operational data, and integrations with the systems hospitality businesses already use. The platform is live, serves thousands of customers and moves millions of dollars.

   

Required Hard Skills

• Several years operating at Senior Engineer level on a SaaS product that grew significantly while you were there. You have seen a system become meaningfully bigger and understand the problems that tend to arrive next.
• Strong Python and Django / Django REST Framework experience, or deep experience in a closely comparable backend stack.
• Strong React and TypeScript experience, with the ability to work effectively across backend and frontend when required.
• Strong PostgreSQL and data modeling skills. You should be comfortable designing schemas that can evolve as the business grows into new products and safely changing them once they contain production data.
• Production experience with asynchronous and distributed workloads using Celery or comparable technologies.
• Strong understanding of API design and third-party integrations, including failure handling, retries, idempotency, data consistency, reconciliation, and situations where the system on the other side is unreliable or outside your control.
• Strong understanding of software architecture and the ability to make pragmatic architectural decisions inside a large existing codebase rather than only designing systems from scratch.
• Experience identifying and addressing performance, scalability, reliability, and maintainability problems before they become critical.
• Strong testing practices and experience safely evolving systems that must remain operational while they are being changed.
• Production experience with Docker, CI/CD, monitoring, error tracking, and observability. 
• Strong Linux knowledge. 
• Sound judgment about technical debt: knowing the difference between an acceptable shortcut and one that will create significant problems later, and being able to improve a system while it remains in production.
• Everyday experience with using AI agents for work (Claude Code or Codex). Familiar with configuring AI toolset, understanding pros and cons of modern AI.

Current Stack

• Django / DRF, PostgreSQL, Redis, Celery, Docker, Traefik, Datadog, Sentry, Mailgun, GitHub Workflows.
• Next.js, MUI, TanStack Query, React Hook Form, Zod, Vitest.

Nice to Have

• FinTech or financial systems experience, particularly payments, payouts, ledgers, reconciliation, payroll, banking, audit trails, or other systems where financial correctness matters.
• Experience with restaurant or hospitality technology, including POS, scheduling, workforce management, payroll, or similar systems.
• Experience with high-volume or business-critical third-party integrations.
• Experience improving a system with meaningful legacy code or technical debt while the product remained actively developed.
• Experience with multi-tenant SaaS architectures.
• Experience improving engineering practices across a team rather than only within your own work.
• Experience as a Senior Engineer in a company of roughly 20–200 people, where your role included helping decide what technical work actually mattered.

Required Soft Skills

• Ability to take technical ownership beyond your own tickets and think about the health of the product and engineering system as a whole.
• Strong engineering judgment and the confidence to challenge technical decisions constructively, including decisions made by Staff Engineers and engineering leadership.
• Comfort with ambiguity. Problems will not always arrive fully specified, and part of your job is asking the questions that make them clear before code gets written.
• Ability to explain complex technical trade-offs clearly to engineers, Product, and non-technical stakeholders.
• A strong teaching mindset. You explain your reasoning, document important decisions, review code seriously, and make the engineers around you better rather than becoming the only person who understands a difficult system.
• Comfortable taking leadership during difficult technical situations without waiting for someone else to define every step of the solution.
• Strong written communication and self-direction. The team is distributed across Canada and Europe with limited live overlap, so you need to communicate clearly asynchronously and drive your own work.
• Fluent English, written and spoken.

Key Responsibilities

1. Own substantial systems end to end

• Take meaningful problems that have been identified but not fully solved and work with Staff Engineers and Product to determine the right technical approach.
• Own complex initiatives from problem definition through design, implementation, migration, testing, rollout, and production monitoring.
• Design not only for the expected path, but also for what happens when something goes wrong in production.

• Remain responsible for the systems you build once they are carrying real customer data and real money.

   

2. Help strengthen the architecture of a growing product

• Work closely with Staff Engineers and the VP of Engineering on architectural decisions and technical direction.
• Understand the existing architecture and identify where today’s decisions may create tomorrow’s problems.
• Identify areas where the platform may struggle as product complexity, integrations, customers, data volume, and transaction volume increase.
• Challenge architectural decisions constructively when you see a better approach.

• Help evolve the architecture incrementally through small, safe improvements rather than unnecessary rewrites or over-engineering.

   

3. Protect correctness, reliability, and engineering quality

• Treat financial correctness as a first-class engineering concern.
• Design for reconciliation and auditability: how we prove a number is correct, understand how it was produced, and detect discrepancies before customers do.
• Use Datadog, Sentry, logs, production data, and other signals to identify recurring problems and their root causes.
• Improve observability, error handling, testing, deployment safety, performance, and operational reliability.

• Make sure recurring production problems are solved systematically rather than repeatedly patched.

   

4. Own technically difficult areas of the product

• Lead work involving complex third-party integrations, asynchronous workflows, data synchronization, reconciliation, migrations, and failure recovery.
• Design systems that behave predictably when external APIs fail, requests are duplicated, jobs execute late, or data arrives in an unexpected state.
• Work closely with Product to make technical feasibility and engineering constraints visible before implementation begins.

• Help break large technical initiatives into safe, incremental pieces that can be built, migrated, and released without unnecessarily putting the existing platform at risk.

   

5. Make the case for important technical work

• Identify technical debt, platform investment, reliability work, and architectural improvements that may not naturally appear on the product roadmap.
• Distinguish between debt that can safely remain and debt that is materially affecting reliability, engineering speed, or future product development.
• Make the business and technical case for that work using evidence rather than engineering preference alone.

• Help sequence improvements so they support product development rather than competing with it unnecessarily.

   

6. Raise the level of the engineering team

• Be a strong technical reference point for other engineers.
• Review architecture, designs, and pull requests with a focus on correctness, reasoning, and long-term maintainability.
• Explain why you would make a decision differently rather than simply leaving a verdict.
• Mentor engineers through reviews, pairing, technical discussions, and example.
• Document important knowledge and decisions so understanding stays with the team rather than with one individual.

• Take leadership when a difficult technical problem crosses multiple areas or engineers.

   

7. Remain hands-on

• Design and write production code across the backend and frontend.
• Take direct ownership of technically difficult or risky work when appropriate.
• Debug difficult production issues and establish their root causes.
• Read and understand the existing codebase before changing it.

• Build enough direct knowledge of the platform to ensure your technical decisions are grounded in how the system actually works.

   

Who this position is not for

• This is not a role for someone whose definition of seniority is simply delivering more complicated tickets. 
• If you prefer receiving clearly defined tickets and technical solutions and then implementing them, this role will probably be frustrating.
• It is not a management role. You won’t have direct reports or headcount responsibility. Leadership here comes through technical ownership, judgment, mentoring, reviews, and influence.
• It is also not a Staff Engineer role. Our Staff Engineers and VP of Engineering set the overall technical direction and architecture. You will help shape that direction, challenge it when needed, and fully own the design and implementation of substantial systems within it.
• It is not a greenfield role. You will be joining a live platform with thousands of customers and a roadmap that does not pause while technical improvements are made. Much of the work involves understanding existing systems, migrating them safely, and improving them incrementally rather than replacing them.
• If you naturally ask what happens when the system gets significantly larger, how it fails, how we know the data is correct, and what today’s shortcut will cost us a year from now, you’ll recognize the work.

Things You Should Know Before Applying

• The engineering challenge is no longer simply building features quickly. It is continuing to ship while improving reliability, scalability, architecture, and the technical foundation required for significant year-over-year growth
• There is technical debt. Part of your job is determining which debt actually matters, making its impact visible, and helping address it without stopping product development.
• Requirements will sometimes be incomplete. We expect you to help shape the solution rather than wait for perfect specifications.

• You will be expected to disagree when necessary, propose better approaches, and explain the reasoning behind them.

   

Hey there! 👋

Our team is rapidly growing, and we're looking for an exceptional quality assurance automation engineer to join our team as soon as possible! You will be working directly with our CTO, and will have ample opportunity for growth, since this is a long-term opportunity (1-year contract).

We need you to have: 🎯

• High attention to detail and desire to build things right;
• Excellent communication skills;
• English should be at least B2 (C1 preferred);
• You have 6+ years of commercial automation QA / TDD experience;
• SOLID programming experience;
• Strong experience with e2e, unit tests, playwright or puppeteer;
• Experience with jest/karma (jest is preferred);
• Strong experience with TypeScript, good knowledge of HTML/CSS;
• Strong experience with TypeScript;
• B.Sc. in Computer Science or similar;

What would be a huge plus: ✨

• C1/C2 English;
• Experience of building/bootstrapping your own side projects (please share links);
• Experience with full-stack engineering (TypeScript, React)
• Experience with cloud providers (GCP);
• Located in Eastern Europe (Ukraine/Poland/similar);

What’s in it for you: 🌴

Professional Growth & Lifestyle:

- Remote work (our team is 100% remote);

- Opportunity to join a distributed and rapidly growing team (30 members at the moment);

- Leadership initiatives.

Benefits:

- Annual vacation: 20 business days (100% compensation)

- Annual sick leave: 10 business days (100% compensation)

- Competitive compensation.

Please, feel free to ask us with any questions! (pun intended 😉)

Best regards,

Universium Team ❤️

Due to team expansion and product growth, we are looking for a Risk Manager with strong analytical skills to effectively develop and implement the product in line with the company’s strategic goals and customer needs.

Responsibilities

• Monitor market conditions in real time to ensure the seamless operation of trading platforms
• Manage risks associated with clients' trading operations
• Assess user trading activity and implement anti-fraud measures
• Collaborate with other departments (customer support, IT, product team) to ensure efficient client interaction
• Conduct analytics and gather statistics on user trading activity

Requirements 

• Experience working with Excel
• English level – Intermediate 
• Bachelor’s degree in Finance, Economics, Mathematics, or a related field
• Ability to quickly analyze large volumes of data and make decisions
• Ability to work in a fast-paced environment with high responsibility

Will be a plus

• Experience in a similar role in the financial or CFD industry
• Experience working with trading platforms (MetaTrader, cTrader, or similar)
• Deep understanding of financial risks and experience working with CFD

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Sounds interesting? Apply now and let’s have a talk!

Eligibility: Permanent location in the EU or Ukraine is required (we can only consider candidates legally based in the EU or Ukraine).

Join Söderberg & Partners Heartpace AB, a Swedish product company building reliable, high-quality software for the European market. We’re looking for a QA Engineer (Manual + Automation) who moves fast, takes ownership, and raises the quality bar through smart testing and scalable automation in Playwright (TypeScript).

We’re not looking for someone to “run checklists.” We’re looking for someone who can build confidence in releases, ship quickly with integrity, and accelerate QA and workflows using AI.

What we offer

• Flexibility: fully remote.
• Career growth: clear development paths, mentorship, leadership opportunities.
• Modern tools & processes: Playwright (TypeScript), Postman, TestRail, Jira, Confluence.
• Professional development: certifications, conferences, Udemy access.
• AI-first enablement: we actively automate workflows with AI — and we’ll compensate relevant AI subscriptions you need for your work.
• Relocation support: visa sponsorship and relocation assistance for international candidates.
• Work-life balance: no overtime culture and generous vacation policies.
• Security matters: ISO 27001:2022 certified — strong information security and operational discipline.

What you’ll do

• Own QA for web-based applications: from requirements to release confidence.
• Create and maintain test plans, checklists, and test cases in TestRail.
• Perform manual testing (exploratory, regression, acceptance) with a strong risk-based mindset.
• Build, extend, and maintain test automation in Playwright + TypeScript (from scratch where needed), including:
  • stable test architecture (Page Object / fixtures / reusable utilities)
  • meaningful reporting (Allure/HTML or similar)
  • CI-friendly execution (parallel runs, artifacts, retries)
  • reliable, maintainable suites with minimal flakiness
• Conduct API testing using Postman (and support API test automation where applicable).
• Report, track, and verify defects in Jira with clear repro steps and severity/priority.
• Collaborate closely with developers, product managers, and designers to clarify requirements and ensure test coverage.
• Improve QA processes across the SDLC: faster feedback loops, fewer flaky tests, better release confidence.
• Use AI tools to accelerate test design and reduce repetitive work (while keeping quality and security intact).

We value

• High performance / results-first: measurable impact over activity.
• Entrepreneurial ownership: be the engine, not the passenger.
• Systems thinking + data-driven decisions: rigor, scalability, continuous learning.
• Fast execution with integrity: speed and reliability.
• Continuous improvement: skills, mindset, outcomes.

You’ll thrive here if you…

• Prefer short cycles: ship → measure → iterate.
• Can turn ambiguity into execution (and help others do the same).
• Care about outcomes over process theater.
• Enjoy improving systems, not just following them.

What we’re looking for

Must-have:

• 5+ years in manual + automation QA for web applications.
• Strong hands-on automation experience with Playwright in TypeScript (required).
• Experience building maintainable automation suites: structure, CI, reporting, stability.
• Confident with Postman, TestRail, Jira, Confluence.
• Solid understanding of SDLC, Agile/Scrum, and quality practices in modern product teams.
• Understanding of client-server architecture.
• Web fundamentals: HTML, CSS, HTTP, Ajax, JSON.
• Strong analytical skills, attention to detail, and clear communication.
• English: Upper-Intermediate+.

Nice-to-have:

• Swedish (conversational/professional or native).
• Ukrainian/Russian (helps with part of the team).
• Practical AI usage for QA/workflow automation (we support and compensate relevant subscriptions).

Interview process (3 steps)

1. Screening interview with the Recruiter
2. Technical interview with the Tech Lead + live task (Playwright + TypeScript)
3. Final approval interview with the CTO

Why join us?

At Söderberg & Partners Heartpace AB, quality isn’t a gate at the end — it’s a system we build. You’ll have real ownership, autonomy, and support, plus the opportunity to improve how we ship through Playwright + TypeScript automation, AI, and strong engineering collaboration.

Ready to join?

Apply now and let’s build fast, reliable products together.

ClubReady is a fast growing analytics software company specializing in the health and fitness industry. We are integrated with the largest POS and Scheduling platforms in our industry and our client list has some of the largest brands in the boutique fitness space.

Requirements:

+4 Year of Proven Commercial Experience or links to UpWork/uTest profiles required

Proven experience as a Quality Assurance Tester or similar role

Experience in project management and QA methodology

Familiarity with Agile frameworks and regression testing is a plus

Ability to document and troubleshoot errors

Working knowledge of test management software (e.g. Jira, AZDO) and SQL

Excellent communication skills

Attention to detail

Analytical mind and problem-solving aptitude

Strong organizational skills

Job Type: Full-time/Remote

Equipment: not provided

Working Hours: 1pm-9pm or 11pm-7pm by CET.

Please do not send your application without required commercial experience

Please let me know if you are interested in our offer.

JetArt Games is a modern product company in the field of GameDev, creating innovative gaming solutions.
We develop high-performance gaming systems with flexible architecture and implement a full development cycle - from idea and R&D to architectural design, client logic, analytics and launch of the finished product.
Combining technological expertise, creative approach and modern engineering practices, we create a gaming experience focused on quality, stability and long-term development of the product.

With ambitious plans for growth and expansion into new international markets, we are actively scaling our operations.

We are looking for a Senior Slot Game Producer with a proven track record in the iGaming industry to lead the creation of high-quality, innovative slot experiences. If you have deep market knowledge, a strong creative vision, and are ready to own the direction of our slot portfolio - we want to hear from you.

Key Responsibilities:

• Own and drive the creation of new slot game concepts - from the first idea to post-launch performance analysis;
• Invent original mechanics and game features that stand out in a competitive market;
• Research and select trending features, bonus modes, and player engagement patterns;
• Define and maintain the creative and technical vision for each slot, in collaboration with game designers, math developers, artists, and audio teams;
• Regularly pitch and present concepts and progress updates to internal stakeholders and leadership;
• Playtest and review games in development, ensuring they meet or exceed product standards and player expectations;
• Be the go-to person for the team on all gameplay-related questions and decisions;
• Participate in certification documentation review and support test labs when needed;
• Help shape the long-term strategy and direction of our slot game portfolio.

Desired skills and requirements:

• 5+ years of experience as a Slot Game Producer, Product Owner, or Game Designer in a leading real-money slots company;
• A portfolio of successful live slot games with measurable market impact (high revenue, retention, or visibility);
• Deep knowledge of slot game mechanics, math models, art styles, UX, sound, and animation workflows;
• Strong understanding of current slot trends across different regions and platforms (mobile, web, land-based);
• Confident in market analysis and competitor benchmarking to generate relevant and creative product ideas;
• Excellent project management and presentation skills - able to clearly communicate game vision and rationale to both creative and technical teams;
• Fluent English - both written and spoken.
   

What we offer:

• Lack of bureaucracy in decision-making processes and the ability to directly influence the product/project.
• Competitive salary aligned with the IT/iGaming market and a comprehensive social package (medical insurance, gym membership compensation, lunch delivery reimbursement, etc.).
• Comfortable office in Kyiv (walking distance from Vasylkivska metro station);
• Paid vacation — you will have 18 working days of paid vacation and 5 extra days off - wedding, birth of a child, unforeseen events, etc.;
• Referral bonus — we truly value it when team members refer friends, and we offer a bonus for recommending trustworthy candidates.

HBDCard is a crypto / fintech product focused on making crypto payments simple and practical for everyday use.
 

We are looking for a hands-on AI Social Media & Growth Manager who can build and manage our social media presence, create high-quality content using modern AI tools, and help grow the HBDCard brand.
 

This is not a role for someone who only schedules posts or follows a basic monthly content plan.
 

We need someone who understands social media culture, knows how to use AI tools at a high level, can move fast, test ideas, follow trends, and turn them into engaging content.
 

Responsibilities:
 

• Manage HBDCard social media channels: X / Twitter, Instagram, TikTok, LinkedIn, Telegram
   
• Build and execute the social media content strategy
   
• Create short-form videos, graphics, carousels, memes, posts, threads, and other content
   
• Use AI extensively in the content production process
   
• Follow crypto, fintech, payments, AI, and social media trends
   
• Quickly turn relevant trends and market events into HBDCard content
   
• Write strong English copy, hooks, captions, and CTAs
   
• Test different content formats, hooks, visuals, and creative approaches
   
• Analyze content performance and continuously improve based on data
   
• Grow engagement, followers, website traffic, sign-ups, and customer acquisition
   
• Engage with relevant crypto, fintech, and Web3 communities
• Identify potential collaborations, influencers, creators, communities, and distribution opportunities
   

AI tools:
 

You should be comfortable working with modern AI tools such as ChatGPT, Claude, Midjourney or other AI image generators, Kling, Google Veo, Seedance, Runway, ElevenLabs, HeyGen, CapCut, and similar tools.
 

We do not expect you to use every tool. What matters is that you understand how to combine AI tools into an efficient workflow and consistently produce high-quality content.
 

Requirements:
 

• 2+ years of experience in social media, content, growth, or a related role
   
• Strong practical experience with AI content-generation tools
• Strong understanding of Instagram, TikTok, X / Twitter, LinkedIn, and short-form video
   
• Good visual taste and understanding of modern social media content
   
• Ability to create content independently without requiring a designer for every post
   
• Strong written English
   
• Ability to write strong hooks and natural copy that does not feel generic or obviously AI-generated
   
• Understanding of social media analytics and content performance
   
• Ability to work independently and take ownership of the social media direction
   
• Fast execution and willingness to experiment
• Ability to identify trends and quickly turn them into relevant content
   

Big advantage if you have experience with:
 

• Crypto / Web3
   
• Fintech
   
• Crypto cards or payment products
   
• Growing X / Twitter accounts in the crypto space
   
• Telegram communities
   
• Organic social media growth
   
• Influencer or creator collaborations
   
• Short-form video production
   
• Video editing or motion design
   
• Basic paid social / Meta Ads / TikTok Ads
   
• Community management
   

We are not looking for someone whose main workflow is simply creating a fixed number of posts per month and scheduling them.
 

We want someone who actively looks for opportunities, understands trends, generates ideas, produces content, tests it, analyzes results, and improves quickly.
 

Working format:
 

• Full-time
• Long-term cooperation
• Direct communication with the HBDCard team
   

How to apply:
 

Please send:
 

1. A short introduction about yourself
2. Links to social media accounts or brands you have managed
3. Examples of content you personally created
4. Examples of AI-generated content you created
5. The AI tools you use regularly
6. Your experience with crypto, fintech, or Web3, if any
7. Your expected monthly salary
    

Please also answer:
 

If you joined HBDCard tomorrow, what would you do during your first 30 days to grow our social media presence?

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

-Wave planning — plan migration waves based on system dependencies and priorities
-Complexity assessment — evaluate complexity of each workload/job prior to migration
-Workload analysis — analyze existing batch processes, their dependencies, schedules, and SLAs
-Orchestration migration strategy — design the strategy for migrating from Control-M to AWS Step Functions (job mapping, dependencies, triggers)
-Cutover runbook — develop detailed cutover runbooks (steps, rollback points, success criteria)
-Pod coordination — coordinate across multiple teams/pods involved in the migration
-Release governance — manage release processes, ensuring quality and compliance with standards prior to deployment

Mandatory Skills Description:

- Large-scale migration experience — proven track record on enterprise-scale migration projects
- Wave planning — hands-on experience planning waves in multi-system migrations
- Control-M — deep knowledge of Control-M (jobs, schedules, dependencies, calendars)
- AWS Step Functions — hands-on experience designing and building workflows in Step Functions
- Risk assessment — experience identifying and mitigating risks in migration projects
- Data reconciliation — experience validating data/results post-migration (before/after comparison)
- Release management — experience managing releases in an enterprise environment

Nice-to-Have Skills Description:

- Experience with other orchestration tools (Airflow, AWS Glue Workflows)
- AWS certification (Solutions Architect / DevOps Engineer)
- Knowledge of AWS Lambda, EventBridge (commonly used- alongside Step Functions)
- Experience in financial domain

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

- Design, build, and maintain ETL/ELT pipelines on AWS
- Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
- Develop and optimize data models for data warehouse/data lake (Redshift, S3)
- Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
- Implement data quality checks, validation, and reconciliation processes
- Optimize pipeline performance and manage compute/storage costs
- Ensure data security and access control (IAM, KMS, encryption)
- Monitor and troubleshoot pipeline failures (CloudWatch, logging)
- Collaborate with data analysts, BI developers, and architects on data requirements
- Document data pipelines, architecture, and operational runbooks

Mandatory Skills Description:

- 5+ years of experience
- Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
- Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
- Proficiency in Python or Scala for data engineering
- Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
- Experience migrating data pipelines from on-prem or other cloud platforms
- Understanding of data governance, security, and access control on AWS
- Experience with CI/CD for data pipelines

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Data Engineer Associate)
- Experience with streaming data (Kinesis, MSK/Kafka)
- Familiarity with Infrastructure as Code (Terraform/CloudFormation)
- Experience with orchestration tools (Airflow, dbt)
- Experience in financial domain

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

   

• Responsibilities:

  - Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
  - Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
  -Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
  -GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
  -Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

   

• Mandatory Skills Description:

  - 2 month project with posibility of extentention

  - Python — strong hands-on Python development experience for building tools and automation
  - GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
  - Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
  - AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
  - GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
  - Automation frameworks — experience designing and building automation frameworks/tooling from scratch
  - Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
  - Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

   

• Nice-to-Have Skills Description:

  Experience in financial domain

   

• Languages:
  • English: C2 Proficient

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

Responsibilities:

- Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
- Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
-Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
-GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
-Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

Mandatory Skills Description:

- Python — strong hands-on Python development experience for building tools and automation
- GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
- Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
- AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
- GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
- Automation frameworks — experience designing and building automation frameworks/tooling from scratch
- Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
- Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

Nice-to-Have Skills Description:

Experience in financial domain

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people.

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

Now we're looking for a PSP Manager to take ownership of day-to-day payment operations and performance across assigned platforms, brands, streams, and GEOs. We are looking for a detail-oriented and analytical professional who can monitor payment performance, work closely with PSPs and internal teams, identify issues, and proactively improve payment stability and efficiency.
 

📅 Your daily adventures include:

• Own the day-to-day operation and performance of payment solutions across assigned platforms, streams, brands, and GEOs;
• Manage operational communication and relationships with PSPs, payment partners, aggregators, and platform representatives, including participation in discussions around commercial and operational conditions, coverage, limits, and service improvements;
• Monitor payment method availability, stability, and key performance metrics, including approval rate, decline rate, deposit success rate, Reg2Dep, and payment method conversion, and promptly respond to performance deterioration or disruptions;
• Analyze payment performance by platform, brand, GEO, provider, payment method, currency, BIN, issuer, and transaction type; identify the main causes of failed or declined transactions and implement improvements;
• Build, maintain, and optimize payment routing, cascading, fallback, and prioritization logic, including BIN-level analysis and identification of issuer-, provider-, and GEO-specific performance issues;
• Identify operational and technical bottlenecks affecting deposit and withdrawal flows and coordinate their resolution with internal teams, platforms, and external payment partners;
• Lead the integration and launch of new PSPs and payment methods, including cards, alternative payment methods, and cryptocurrency solutions, coordinating requirements, configuration, testing, launch readiness, and post-launch monitoring;
• Validate cashier functionality, payment redirects, transaction processing, payment method availability, limits, currencies, and GEO restrictions before and after launch;
• Manage payment-related tasks and incidents through Asana, Jira, platform service desks, and other applicable systems; act as the primary point of contact for operational and technical payment incidents, ensuring timely escalation and clear status updates until resolution;
• Monitor PSP performance against agreed operational expectations and initiate corrective actions when performance, stability, or service quality is insufficient;
• Cooperate with Risk & Fraud Prevention, Customer Support, VIP, Product, Retention, Technical, QA, and Analytics teams on payment-related cases and improvement initiatives, including transaction-level investigation of player payment issues;
• Maintain an up-to-date payment method matrix and payment documentation covering brands, GEOs, platforms, providers, currencies, limits, availability, provider information, error descriptions, escalation contacts, operational instructions, and troubleshooting procedures;
• Prepare regular and ad hoc payment performance reports and use dashboards, back offices, monitoring tools, and transaction reports to identify trends, incidents, provider stability issues, performance gaps, implemented improvements, and areas requiring management attention;
• Proactively recommend and implement solutions aimed at improving payment stability, scalability, customer experience, and the overall financial performance of the Company.

🧭 What makes you a great match:

• 2+ years of relevant experience as a PSP Manager or in a similar payments-focused role;
• Hands-on experience with fiat payments, bank transfers, and cryptocurrency;
• Experience with payment monitoring and analysis of approval rates and transaction performance;
• Strong analytical skills and ability to work with payment performance data;
• Experience with BI and reporting tools; Tableau is highly preferred;
• Strong attention to detail and ability to stay focused when working with large amounts of operational and payment data;
• Proactive and initiative-driven approach to work;
• Strong discipline and ability to consistently follow up on ongoing tasks and issues;
• Good communication skills and ability to collaborate with different stakeholders;
• Willingness to learn, develop, and deepen expertise in payments;
• Experience in iGaming is a plus, but not a strict requirement.
   

Benefits

💸 Flexible payment options: choose the method that works best for you;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

If this role sounds like a good fit for you, we’d love to hear from you — apply and tell us a bit about yourself.

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

   

• Mandatory Skills Description:

  - 5+ years of experience

  - 2 month project with posibility of extentention
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

   

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

• Languages:
  • English: C2 Proficient

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills:

AWS Database Migration Service

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Languages:

English: C2 Proficient