Jobs at Djinni

We are looking for a Senior Full Stack Engineer with a strong frontend focus (React + Java) for our partner, a growing software company based in Spain.

Our partner combines product development with client-facing engineering work, delivering software solutions for enterprise customers.

You will join a team working on a live production product for a large US healthcare enterprise. The platform is currently undergoing a significant architectural modernization: an existing Ruby middleware layer is being removed, allowing the React frontend to communicate directly with the core Java APIs, while the system is also moving toward a more secure access architecture.

The role is primarily focused on React and frontend engineering, while requiring the ability to work across the stack with Java and Spring Boot when needed.

The project has an important upcoming release, so we are looking for an experienced engineer who can understand an existing production system and become productive quickly.

This is a full-time remote contract position with an initial commitment of at least six months and the possibility of long-term extension.

Responsibilities

* Design, develop, and maintain production frontend applications using React and TypeScript.

* Build scalable, reusable, and maintainable frontend components and application architecture.

* Contribute to the migration away from the existing middleware layer and integrate the React application directly with Java APIs.

* Deliver end-to-end product features across the React frontend and Java/Spring Boot backend when required.

* Work with REST APIs and complex backend integrations.

* Participate in the platform’s migration toward a more secure and modern access architecture.

* Contribute to frontend architecture, technical design, performance, and code quality decisions.

* Understand and improve an existing production codebase while maintaining stability.

* Work with AWS-based production environments.

* Collaborate closely with backend engineers, QA, and other members of the product team.

* Participate in Agile ceremonies and planning activities.

* Use AI-assisted development tools as an integral part of the engineering workflow.

Requirements

Technical Skills

* 6+ years of professional software engineering experience.

* Strong hands-on experience with React and TypeScript.

* Strong understanding of modern frontend architecture, component design, state management, performance optimization, and API integration.

* Professional experience with Java and Spring Boot and the ability to contribute to backend development.

* Proven experience building and maintaining production-grade web applications.

* Strong experience integrating frontend applications with REST APIs and backend services.

* Experience working with existing production systems and complex codebases.

* Hands-on experience with AWS and cloud-based production environments.

* Experience with Docker, CI/CD pipelines, and modern cloud-native development practices.

* Solid understanding of software architecture and system design.

* Ability to ramp up quickly and work effectively within an established engineering environment.

AI & Modern Engineering Expectations

* Strong hands-on experience using AI-powered development tools such as Claude Code or similar as part of the day-to-day engineering workflow.

* Up-to-date understanding of modern AI capabilities and their practical application in software development.

* Ability to use AI tools to accelerate development, improve code quality, support technical decisions, and increase engineering productivity.

* Experience with Spec-Driven Development (SDD) or similar methodologies that enable AI-native development workflows.

* Ability to identify opportunities where AI can add meaningful value to the product and its users.

* Comfortable working in an engineering environment where AI-assisted development is an integral part of the software development lifecycle.

Communication

* English level B2 or higher.

* Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

* Strong written communication and documentation skills.

* Comfortable working within distributed international teams.

Personal Qualities

* Strong ownership mentality and proactive approach.

* Ability to understand an existing system and become productive quickly.

* Ability to identify issues early and drive solutions independently.

* Open-minded and adaptable when evaluating technologies and approaches.

* Focus on code quality, maintainability, and long-term sustainability.

* Collaborative attitude and strong teamwork skills.

About the role 

We're hiring two Senior Data Ingestion Engineers for a major client in the insurance sector. You'll design and implement scalable ingestion pipelines for high-volume structured and unstructured insurance documents: PDFs, scans, emails, Word, Excel and PowerPoint files. 

The pipelines feed downstream AI solutions. The work covers OCR and document extraction, text cleaning and normalisation, semantic chunking, metadata tagging, vector storage and RAG preparation, validation, and monitoring. 

What you'll do 

• Design and build scalable document-ingestion pipelines on AWS (S3, Step Functions, CloudWatch). 
• Process unstructured documents: PDFs, scanned documents, Word, Excel, PowerPoint and emails. 
• Implement OCR and document extraction with AWS Textract or equivalent tools, and validate the extraction results. 
• Build connectors and integrations with sources such as SharePoint and email. 
• Clean and normalise text, and extract and tag metadata. 
• Prepare data for RAG: semantic chunking, vector-storage schema design and retrieval. 
• Set up automated error monitoring, alerting and quality checks. 
• Integrate ingestion outputs with downstream AI solutions, following enterprise security and SLA requirements. 

Must-have 

• 7+ years of commercial experience as a Data Engineer with Python and SQL. 
• 5+ years of hands-on AWS experience, including S3, Step Functions and CloudWatch. 
• Proven experience building data and document ingestion pipelines in a public cloud. 
• Processing of unstructured documents: PDF, scanned documents, Word, Excel, PowerPoint and emails. 
• OCR and document extraction technologies (AWS Textract or equivalent), including validation of OCR and extraction results. 
• Connectors and integrations with sources such as SharePoint and email. 
• Text cleaning and normalisation, and metadata extraction and tagging. 
• Automated error monitoring for data pipelines. 
• Git, CI/CD and testing practices. 
• English at C1 level. 

For every skill above, you should be able to give concrete examples from real projects. 

Nice to have 

• Vector databases, RAG, semantic chunking, vector-storage schema design and retrieval mechanisms 
• AWS Textract specifically 
• Azure and/or Databricks 
• Experience in insurance or financial services 
• Experience with enterprise security and low-latency SLA requirements 

Location 

Fully remote, but you must live in an EU member country and hold a valid residence permit there.  

What we offer 

• A 1-year full-time engagement with a major enterprise client 
• The option of a direct contract with the client (the details of the cooperation model are discussed individually) 
• Hands-on work at the intersection of document processing, data engineering and GenAI 
• Fully remote work within the EU 

How to apply 

Please send a CV tailored to this role. The client screens CVs strictly and won't review a generic CV or a list of keywords. For each relevant project, please include: 

• start and end dates, the context, and your personal role and responsibilities 
• the AWS services and tools you used (S3, Step Functions, CloudWatch, Textract and so on) and how you used them 
• the document types you processed, how you did the OCR, extraction, cleaning, metadata tagging and validation, and which sources you integrated (SharePoint, email) 
• any experience with RAG, vector databases, chunking or retrieval, plus your Azure, Databricks and insurance or financial-services experience 

Please also include: 

• your expected hourly rate (USD) 
• your English level 
• years of experience 
• your country of residence and residence status 
• your citizenship 
• your availability date 

estaie is the AI-native extended-stay platform for 15 to 365-night stays. We connect hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. We operate globally, with hubs in Dubai and Riyadh. Our AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations for operators, corporate bookers and digital nomads alike.

Location: Remote-first (MENA time zone alignment required: at least 8 hours per day overlapping with Gulf Standard Time, UTC+4)
Reports to: Nimit Solanki, CTO & Co-founder
Leads: Forward Deployed Engineers (Integrations)
Type: Full-time
Shape of the role: roughly 50% people and delivery leadership, 50% hands-on engineering

THE ROLE

You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.

You are also one of the team's strongest engineers. You take real integration and AI work yourself, review PRs, debug production issues alongside your team, and lead by example rather than from a dashboard. You partner directly with the CTO on architecture and technical strategy, and with product, sales and partnerships on what gets built and when.

WHAT YOU'LL DO

Lead the FDE team

• Hire, onboard and grow a remote team of Forward Deployed Engineers, and set clear expectations on ownership, quality and pace.
• Run delivery across many partner integrations at once: prioritise, unblock, and keep commitments to partners realistic.
• Coach engineers on integration design, debugging across systems, clean code and working directly with partners.
• Run 1:1s, give direct feedback, and build a culture of accountability, async collaboration and written decisions.

Stay hands-on

• Write production code in TypeScript, Python and SQL, and own some integrations end to end yourself.
• Review PRs and set the engineering standard for testing, observability and documentation.
• Join the hardest partner debugging sessions and production incidents, and lead the post-mortems.

Own the integration platform

• Design the patterns every integration follows: authentication (including OAuth 2.0 token refresh), signed webhooks, retries with backoff, rate limiting, idempotency and error handling.
• Own the canonical data model that normalises inventory, rates and availability from partners with different schemas.
• Make sure we never oversell: concurrency control on inventory, handling of out-of-order and late events, and reconciliation jobs that catch drift with external systems.
• Build the shared tooling that makes each new integration faster than the last: mock partner servers, contract tests, onboarding tools, dead-letter queues with replay.

Bring AI into production safely

• Lead the use of LLMs and agents across integration workflows, such as mapping messy partner data, operational copilots and automation.
• Set the guardrails: structured output with schema validation, human review for low-confidence results, eval sets as CI gates, and least-privilege tool access for agents.
• Keep AI cost and latency under control with queues, rate limiters, caching and model routing.

Reliability and partners

• Own uptime, security and performance of the integration layer across regions and environments.
• Act as the senior technical contact for key partners, channel managers, PMSs and payment providers.
• Feed what you learn in the field back into product and platform priorities.

TECH STACK

• Frontend: Next.js, React, TypeScript, TailwindCSS; Laravel and Vue.js on parts of the core platform
• Backend: Node.js / NestJS, Python (FastAPI) for AI and data services, REST APIs and webhooks
• Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream
• Async and events: BullMQ, Pub/Sub, Kafka / Redpanda
• AI: Vertex AI (Gemini, Claude), LangChain, embeddings and vector search, agentic workflows
• Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions
• Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT
• Observability: Cloud Logging, Prometheus, Grafana, alerting and anomaly detection
• Integrations: Channel managers, PMSs, OTAs and supplier APIs; payment gateways such as Stripe, Tamara and Checkout.com; WhatsApp Business API and Twilio

WHAT YOU BRING

• 8 to 12 years of software engineering experience, including 3+ years leading engineers in a high-growth startup, SaaS or platform company.
• You still code. Strong, current hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL and PostgreSQL, plus working Python.
• A track record of building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, and data sync or reconciliation.
• Solid grounding in distributed systems: transactions and concurrency, queues and event-driven design, out-of-order events, and fault tolerance.
• Production experience with LLMs, including how to evaluate them, constrain them and keep their costs in check.
• Cloud deployment experience with Docker and CI/CD, ideally on GCP.
• Experience leading a remote, distributed team with an async, written culture.
• Professional-level English: you can run a technical call with an external engineering team and turn it into a plan, and write clear documentation, PR reviews and post-mortems.
• Bias for action. You debug, document, automate and measure, and you care about products that work, not just systems that run.

NICE TO HAVE

• Hospitality, hotels, holiday homes, travel-tech, fintech, marketplace or other integration-heavy background is an absolute plus and will be weighted heavily.
• Hands-on experience with channel managers, PMSs, OTAs, reservation systems or payment gateways.
• Experience building or leading a forward deployed, solutions or integrations engineering team.
• Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform.
• Experience in the GCC markets, and Arabic language skills.

YOUR FIRST 90 DAYS

• First 30 days: learn the platform and our live integrations, ship your first production change, and meet our key partners.
• By 60 days: own at least one integration end to end, and agree the shared integration standards (auth, webhooks, idempotency, testing) with the team.
• By 90 days: have the FDE hiring plan running, a delivery rhythm the team and partners trust, and clear reliability metrics for the integration layer.

WHY JOIN ESTAIE

• Build and shape a new team from the start, at the frontier of AI-native hospitality.
• Work directly with a founding team from Careem, Grab and Deutsche Telekom who value clarity, velocity and ownership.
• Real-world complexity: partners and systems across the global hospitality ecosystem, with your work reaching production fast.
• Flat, product-driven culture with strong engineering autonomy and end-to-end ownership.
• Competitive compensation and founding-team ESOP potential.
• Remote-first, or hybrid from our hubs in Dubai and Riyadh.

COMPENSATION NOTE

The total compensation for this role is capped at a maximum of USD 2,000 per month (gross, all-inclusive). This ceiling is firm, so please apply only if it is acceptable to you. Payment is made in USD or another international currency.

Required skills
— Experience in AdTech
— Experience with Prebid, server-to-server integrations, or SDK mediation setups
— Experience leading or mentoring junior team members in an ad tech environment
— Knowledge about adservers, OpenRTB, VAST, SSP, DSP

— English proficiency: Upper-Intermediate level or above;
— Proficiency in Google Workspace and MS Excel;
— Previous experience in customer service is required;
— Highly organized, detail-oriented, and able to work independently;
— Strong analytical and problem-solving skills;
— Strong business acumen and excellent relationship-building skills;
— Proactive, adaptable, and able to respond quickly to changing priorities;
— Highly responsive, with the ability to work effectively under pressure and handle stressful situations.
 

We offer
— Comfortable working environment in a modern Kyiv office

— Opportunity to work in a multicultural, friendly, and collaborative team
— Internal learning and professional development opportunities
— Competitive salary linked to the USD
— All necessary tools and equipment to support your work
— Strong team culture built on knowledge sharing, collaboration, and continuous professional growth
— Exciting and ambitious projects where you can make an impact and unlock your full potential
— Paid annual leave, sick leave, and public holidays
— An additional paid day off on your birthday
 

Responsibilities

— Own a portfolio of publisher and demand partner accounts, serving as the primary strategic point of contact
— Lead endpoint integrations via OpenRTB across both supply and demand sides
— Monitor and optimize performance across ad servers, SSPs, and quality tools, proactively identifying issues, mismatches, and revenue growth opportunities
— Daily monitoring of performance of managed accounts
— Communicate with partners and represent Luna Media’s standards externally, while coordinating cross-functionally with internal teams
— Manage multiple platforms and partnerships simultaneously with a high degree of ownership and organization
 

Project description

Luna Media is redefining how digital advertising works, connecting premium supply with smart demand across Mobile (in-app) and CTV through cutting-edge programmatic technology, AI-driven optimization, and real-time bidding. We move fast, think big, and build partnerships that last.

We’re looking for a Programmatic Account Manager to join our team. In this role, you’ll own strategic partner relationships while overseeing the technical operations, performance optimization, and day-to-day management of integrations and traffic flows. This is a position for someone who brings both a commercial mindset and deep technical fluency, someone who can lead partner conversations at a strategic level while still diving into the details when it counts.

Responsibilities: 

1. Ownership

   Be the analytics counterpart for a product domain 1:1 chat, content packs, negotiations, live streaming — you become the person PMs and engineers come to for any number in that area, and the person accountable when it's wrong.

2. Experiments

   Run A/B tests on product features, end to end Turn a product hypothesis into a test: primary and secondary metrics, the minimum effect worth detecting, and the audience. Confirm the population split and assignment events are genuinely correct before trusting the readout. Monitor it while it runs, then deliver a clear ship / don't-ship call and the reasoning behind it. This is a large part of the job, not an occasional project.

3. Pipelines

   Build and maintain the datasets behind your domain Write production transformations as SQL and YAML pipeline config, with freshness, uniqueness and validity checks. Your work goes through code review like any engineer's.

4. Events

   Specify instrumentation before it's built Write the BI event spec for new features across Android, iOS and Web; then verify after release that events actually fire the way the spec said, and chase the gaps when they don't.

5. Dashboards

   Own dashboards and the models under them

   Including retiring the ones nobody opens. A dashboard with no reader is a cost, not an asset.

6. Analysis

   Investigate what moved and why Revenue and conversion anomalies, feature performance, behavioural questions from PMs. Present findings to people who will act on them.

7. Incidents Size production incidents under time pressure When something breaks, you're asked how many users were affected and for how long — quickly, and precisely enough to defend the number when engineering disagrees with it.
8. Cost Keep query and pipeline cost honest Partitioning, clustering, and knowing why a query scans what it scans. Warehouse capacity is shared and finite; an expensive pipeline is everyone's problem.

Requirements:

• Advanced SQL, including window functions and multi-source joins — and the ability to reason about what a query costs, not only whether it returns.
• A strong experimentation background. Hypothesis testing, confidence intervals, power and minimum detectable effect — and the failure modes: peeking at a running test, multiple comparisons, hunting for a segment where the result works. You should also be the kind of person who checks that the experiment itself is sound before trusting its numbers.
• 3+ years as a product or data analyst on consumer products, with real exposure to both mobile and web.
• Critical use of AI analytics tooling. We use an internal Claude-based layer over BigQuery heavily. We want someone who checks what it produces before passing it on.
• Comfort shipping code: git, merge requests, reading and reviewing someone else's SQL. You'll write production pipeline code, not only notebooks and queries.
• Working knowledge of product event tracking: what a well-specified event looks like, and why the same event behaves differently across platforms.
• English at B1 or above. You'll write specifications that engineers build from and present findings to product stakeholders, so clear written English matters more than fluent speech.

Strong advantage

• BigQuery specifically — partitioned tables, clustering, slot-based pricing.
• Airflow, dbt, or another orchestrated transformation framework.
• Having been the analyst on a production incident, not only in the post-mortem.

Nice to have

• Python with the usual statistical libraries — pandas, scipy, stats models.
• A BI tool such as Looker, Tableau, or Power BI — having built the models and dashboards, not only read them. We use Looker today but are moving off it, so the particular tool matters much less than having done the work in one.
• Data quality tooling such as Soda or Great Expectations.
• Experience in social, live-streaming, gaming or another engagement-driven consumer product.
   

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.

Our Customer:

Our client is a global technology company developing an advanced cloud platform for AI-powered voice communication. Their product enables organizations to build, integrate, and deploy intelligent voice services by combining modern AI technologies, large language models, and enterprise-grade communication infrastructure. The engineering team focuses on creating scalable, cloud-native SaaS solutions that process real-time interactions while maintaining high performance, reliability, and security.

Your tasks:

• Design and develop new product features across both backend and frontend components.
• Build scalable backend services using modern .NET technologies.
• Develop responsive Single Page Applications using the latest React ecosystem.
• Design and integrate REST and GraphQL APIs.
• Work with relational and NoSQL databases while ensuring data consistency and performance.
• Participate in designing microservices-based architecture and distributed systems.
• Collaborate with product managers, architects, and other engineers throughout the entire development lifecycle.
• Leverage AI-assisted development tools (such as Claude, GitHub Copilot, etc.) to improve productivity while maintaining full
• ownership and understanding of the implementation.
• Write clean, maintainable, and well-tested code following modern engineering best practices.
• Contribute to architecture discussions, code reviews, and continuous product improvements.

Required experience and skills:

• 3+ years of commercial experience in Full Stack development.
• Strong experience with modern C#, .NET Core, and ASP.NET Core.
• Solid hands-on experience with the latest versions of React, including Functional Components, Hooks, and modern state management.
• Experience building Single Page Applications (SPA).
• Strong knowledge of Entity Framework.
• Experience designing and developing microservices-based applications.
• Practical experience with REST APIs and GraphQL.
• Experience with SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB, or similar).
• Good understanding of asynchronous programming, distributed systems, and cloud-native application development.
• Experience using AI-assisted development tools (Claude, GitHub Copilot, or similar) as part of the software development workflow.
• Ability to explain architectural decisions, coding approaches, and engineering best practices independently, without relying solely on AI-generated code.
• Strong analytical thinking, problem-solving skills, and ownership mindset.
• Experience working in Agile development environments.
• Upper-Intermediate (B2) or higher level of English.

Would be a plus:

• Experience with Docker and CI/CD pipelines.
• Experience with Azure and Azure Kubernetes Service (AKS).
• Knowledge of cloud-native SaaS architecture.
• Experience with high-load or real-time communication systems.
• Familiarity with modern software architecture patterns and system design.
• Experience participating in technical design discussions and architectural decision-making.

Project Description

Our client is a global leader in music rights management, serving as an advocate for the value of music. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client's repertoire of over 22.4 million musical works.

Job Description

• 7+ years of hands-on development experience, designing and implementing large/complex systems with Scala.
• Experience with Apache Spark (or Azure Databricks, or analogue)
• Knowledge of modern backend frameworks, scalable software development practices, design patterns, data structures.
• Understanding of algorithms and their principles
• Good analytical and troubleshooting skills and experience.
• Good understanding of SDLC process, version control, code review, continuous integration and automated deployment tools.
• Strong background with CI/CD methodology.
• Advanced level of English
• Experience with Specs2 testing framework is a plus
• Cloud service experience (Azure, AWS, GCP) is a plus
• B.Sc in Computer Science is an advantage.

Job Responsibilities

• Be part of a dynamic team developing a groundbreaking Performance Measurement solution designed to count every song play worldwide, harnessing parallel computing to process extensive data from diverse sources and achieve seamless aggregation at scale.
• Solve complex problems at the architectural, coding, and product levels.
• Discover creative solutions that balance practicality and innovation, considering both short and long-term goals.
• Implement new and exciting features end-to-end in collaboration with the product team.
• Collaborate with the US based client team

We invite a Junior Test Automation Engineer to join our collaborative team. In this role, you’ll create and run automated tests, review test results, and help identify issues in complex cloud-based systems. You’ll also gain hands-on experience with performance testing by executing test scripts and collecting and monitoring key performance metrics.

🟩 What's in it for you:

• Build hands-on experience in performance testing while growing your AQA skills
• Work with complex cloud-based systems and gain exposure to performance metrics and monitoring tools such as AWS CloudWatch
• Learn from experienced engineers in a collaborative, knowledge-sharing team

✅ Is that you?

• Up to 1.5 years of experience in software testing or test automation
• Understanding of software testing principles and QA practices
• Basic programming or scripting skills in Python or Scala
• Basic understanding of HTTP/HTTPS protocols, headers, payloads, and API status codes
• Ability to execute tests, review results, and identify issues or unexpected behavior
• Good analytical and problem-solving abilities
• Good communication and collaboration skills
• Upper-Intermediate English level

Desirable:

• Basic understanding of performance testing concepts (Load, Stress, Spike, and Soak/Endurance testing)
• Basic understanding of performance metrics, including latency, response time, throughput, and error rates
• Hands-on familiarity with performance testing tools such as JMeter, Locust, or Gatling
• Experience with AWS or another major cloud platform
• Basic experience with AWS CloudWatch
• Basic Linux command-line experience
• Familiarity with Git
• Relevant certifications/courses, such as ISTQB CTFL, AWS Cloud Practitioner Essentials, or JMeter/Locust training

🧩Key responsibilities and your contribution

In this role, you'll help ensure the quality and reliability of our software while building your skills in test automation and performance testing.

• Create, maintain, and run automated tests
• Help investigate test failures and fix issues with automated tests
• Execute pre-scripted performance tests, including Load, Stress, Spike, and Soak/Endurance tests
• Record key performance metrics (latency, response times, throughput, error rates, and HTTP response codes)
• Monitor basic performance metrics using AWS CloudWatch
• Review test results and identify anomalies and basic performance failures
• Report anomalies and basic performance failures to intermediate and senior team members

Our next steps:

✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer

About the role
We're looking for a backend engineer to own the sports product within our ecosystem. You will build and maintain our integration with Odds88 and act as the go-to person for anything related to sports across the company.

What you'll do

• Own the backend integration with Odds88 (https://docs.odds88.io), from design to production support
• Be the point of contact for questions about the sports product
• Work closely with the product team and our tech lead to understand requirements and design clean, scalable architecture
• Build internal sports functionality beyond the integration: sports bonuses, bet slip, backoffice tools, and more
• Keep the integration reliable and well monitored, and handle odds, markets, and bet settlement edge cases

What we're looking for

• Strong backend engineering experience, ideally with integrations of third-party APIs and data feeds
• Prior experience with Odds88 or similar sports betting platforms (strongly preferred)
• Ability to take full ownership of a product area and work independently
• Clear communication with product and technical stakeholders
• Good written and spoken English

Nice to have

• Experience with real-time data (odds feeds, WebSockets, event-driven systems)
• Background in iGaming or betting products (bonuses, bet slips, backoffice)

Details

• Full-time, long-term position

Are you a wordsmith who knows how to blend creativity with SEO best practices?
We’re on the lookout for an experienced SEO Copywriter who can create high-quality content that drives traffic, informs readers, and converts leads. If you’re passionate about writing, independent by nature, and ready to grow—this is your sign to join our team.

What You'll Be Doing:

• Writing SEO-optimized guest posts for high-authority websites based on their guidelines.
• Creating compelling landing pages that convert visitors into users.
• Producing well-researched, long-form guides for our blog aimed at marketers and SEO professionals.
• Conducting in-depth topic research and ensuring content accuracy with reliable sources.
• Collaborating with our SEO team to deliver content that meets search engine requirements.
• Working with other writers to optimize and refresh existing content.

• Writing content exclusively for our two in-house websites (no client projects or bulk content production).

   

You’re a Great Fit If You:
✅ Have fluent English (С1+ or higher).
✅ Have 3+ years of experience as a copywriter, journalist, or content marketer.
✅ Understand the principles of SEO writing and can structure content for clarity and engagement.
✅ Can work independently, manage your workload, and meet deadlines.
➕ Bonus: basic knowledge of digital marketing or content strategy.
➕ Philological education is a plus.
➕ Background or education in journalism or marketing is a plus.

❗Important:

• Portfolio is required (applications without portfolio will not be considered).
• Test task is part of the hiring process.

• All content must be human-written. AI-generated or low-quality automated content is not acceptable.

   

What You’ll Love About Working with Us:
🌍 Remote-first culture – work from wherever you're most productive.
🕓 Flexible schedule – no micromanagement, no unnecessary calls.
💰 On-time, competitive salary.
🏖️ 18 days of paid vacation, unlimited sick leave, and 11 Ukrainian holidays off.
💬 A friendly, proactive team that values transparency and results over reports and red tape.

This is a role for someone who wants more than just a writing job. If you’re ready to grow as a professional while helping brands make an impact online, apply today and let’s create something meaningful together.

 Tech Lead / Python AI Engineer / Engineering Lead / AI Architect.

Ideally, we would like to find someone based in Western Ukraine.

Across our practices, AI experimentation is organic: agents and accelerators get prototyped, they work, and they find their way to the teams who need them.

Working is not the same as dependable, tested, hardened, properly deployed, and fit for a regulated client. Closing that distance and turning experimentation into an engineering discipline is the job.

You will build and lead our AI engineering team: you, a Senior Engineer and a DevOps Engineer, and own the path from idea to production across every asset class.

You will work with SMEs within the practices to bring prioritised pilots into products that deliver return. You will be the final technical decision-maker on what ships. Roughly two-thirds of your week will be hands-on: architecture, coding and code review. The rest will focus on direction, hiring and the operating model.
 

Key Requirements

We are looking for someone who:

• Has strong experience building and owning products, rather than only completing technical tasks within outsourcing projects.
• Has 8+ years of engineering experience.
• Has strong Python experience, including production systems where Python was the primary language.
• Has strong Azure expertise and experience with production Azure workloads.
• Has hands-on experience with AI/LLM and agentic systems.
• Has experience taking products or platforms from architecture through production and ongoing operation.
• Has a player-coach background — able to lead engineers while remaining hands-on technically.
• Has strong English and communication skills.

Has experience working with regulated environments and implementing security/governance requirements in practice.

You will not be post-technical in this role.

• Responsibilities
• Own the AI delivery operating model and the path from prototype to production — from intake and qualification through build, hardening and rollout across accelerators and client-facing IP.
• Build and lead the AI engineering team: hire two engineers, set standards, review code, unblock the team and support their growth.
• Work with SMEs across practices to design, build, deploy and maintain applications.
• Personally build, ship and harden agentic solutions and own the assets you oversee.
• Own architecture and production standards across solutions, including solution architecture, infrastructure, model selection and validation.
• Turn governance into engineering through policy-as-code, guardrails, evaluations and release gates running in the pipeline.
• Implement controls suitable for regulated clients without unnecessarily slowing down development.
• Embed AI capabilities across practices by working with automation, application engineering and consulting SMEs to create a path from prototypes to production.
•  
• What Would Set You Apart?
• Claude Certified Architect (Foundations or Professional).
• Microsoft Agentic AI Business Solutions Architect (AB-100).
• LLM or agentic systems already taken to production.
• Experience deploying accelerators or productised IP across multiple clients.
• 
   

Location: Ukraine - preferably the western part of the country.

Budget: Up to €72,000 gross/year
 

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is looking for an AI Builder / Full-Stack Engineer to join an early-stage startup with a very small team and a high level of ownership.

The company is building an AI-native product for the janitorial industry that automates the processing of large volumes of complex documentation, including contracts and RFPs. The product analyzes this information and generates accurate, detailed bids, including pricing, equipment selection, and task breakdowns down to the room and space level.

This role is ideal for an engineer who can take an AI capability end-to-end — from designing agents and backend systems to building the product experiences through which users interact with them. You’ll work across AI/LLM engineering, backend systems, data pipelines, and full-stack product development.

Key Requirements:
🔹 Strong commercial experience with AI/LLM engineering and backend development;
🔹 Strong Python engineering skills (must)
🔹 Hands-on experience building AI agents, LLM workflows, or AI-native systems;
🔹 Experience designing backend services, APIs, data pipelines, and working with databases;
🔹 Ability to work with unstructured data and build systems for processing and analyzing complex information;
🔹 Experience integrating and working with LLM APIs and AI models;
🔹 Comfortable building full-stack product features and modern web UIs;
🔹 Experience with React, Next.js, and/or Node.js;
🔹 Strong understanding of system design, data modeling, debugging, and infrastructure;
🔹 Experience testing AI systems and evaluating the quality of model outputs;
🔹 Ability to take an AI capability from agent/backend logic through to a usable customer experience;
🔹 High level of ownership and ability to independently drive technical work from architecture to production;
🔹 Comfortable working through ambiguous product and technical requirements in a fast-paced startup environment;
🔹 Pragmatic approach to engineering — knowing when to build deeply and when to ship quickly;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 Experience working specifically with contracts, RFPs, or other complex business documentation;
🔹 Experience building UIs for managing or interacting with AI agents;
🔹 Experience with both commercial and open-source AI models;
🔹 Previous experience in the janitorial / cleaning services industry or similar domain;

What you will do:
🔹 Design and deploy agentic AI workflows, agent harnesses, and orchestration systems;
🔹 Develop and maintain the backend for AI agents that process and analyze contracts, RFPs, and other complex documents;
🔹 Build pipelines for large volumes of unstructured data, including OCR and vision-based document and image analysis;
🔹 Integrate AI tools and models, including OpenAI, Google, and open-source models, using Python;
🔹 Build AI agent orchestration using LangChain, Deep Agents, and similar frameworks;
🔹 Build backend services, APIs, data pipelines, and core infrastructure;
🔹 Own data flows across ingestion, transformation, storage, retrieval, evaluation, and application usage;
🔹 Design and maintain databases, including Postgres and MongoDB;
🔹 Build full-stack product experiences around AI capabilities, including agent interfaces, review/approval flows, and AI-assisted workflows;
🔹 Collaborate with frontend development using React, Next.js, and Node.js to integrate AI agents into the product;
🔹 Turn structured and unstructured AI outputs into polished user-facing experiences, documents, and product workflows;
🔹 Build datasets and testing approaches for AI systems and implement evaluation metrics, including LLM-as-a-judge and statistical evaluation;
🔹 Debug model behavior, pipeline failures, data quality issues, frontend/backend integration, and system performance;
🔹 Own complex technical problems end-to-end, from architecture and implementation through production;
🔹 Build reliable, scalable, and secure systems for an AI-native product;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview — 30 min;
🔹 Non-technical / Culture Fit Interview — 60 min;
🔹 Deep Technical Interview — 1 hour;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

About the role

We're changing how products get built. Our designers now create interfaces directly in code with Claude Design and Claude Code, so design and frontend arrive together. We need a senior engineer who takes it from there: sets the project up properly, builds the backend, secures it, and ships it to production.

This is a full-stack role with no bias toward frontend or backend. You'll work on fixed-price MVPs delivered turnkey and deploy-ready, on growth retainers after launch, and on modernizing existing client products to the new AI-native approach.

Our projects span FinTech, Web3, marketplaces, SaaS platforms, and data-heavy admin systems. Experience in these domains is a plus, not a core requirement.

You'll be the technical owner across our projects: choosing the stack, setting standards, reviewing code, and helping designers solve technical problems. The role has a clear growth path toward Team Lead.

What you'll do

• Set up projects correctly from day one: repository structure, design system and typography integration, environments, CI/CD
• Take designer-built interfaces to production: refine the code, connect data, make it stable and maintainable
• Build MVP backends on Supabase: database schema, authentication, roles and permissions, row-level security, storage, edge functions
• Own security: make sure users never see each other's data, review access rules, catch unsafe patterns in AI-generated code
• Integrate payments and third-party services; deploy and maintain production environments
• Choose and justify the stack for each project and explain the choice to the client
• Work with existing client codebases during redesign and modernization projects
• Set up AI-driven testing: autotest logic, coverage of key flows, a QA process designers and external QA can follow
• Review code, define engineering standards, and support designers working in code
• Estimate projects accurately and take part in scoping and presales
• Coordinate with partner backend teams on heavy, complex products

What we're looking for

• 4+ years of commercial development across both frontend and backend
• Strong React and TypeScript (Next.js is a plus, not required)
• Solid backend experience: Node.js or another server language, relational databases (PostgreSQL), API design
• Hands-on Supabase or Firebase experience: auth, row-level security, access control
• Experience deploying and running products in production (Vercel, cloud providers, CI/CD)
• Payment integrations or work with financial data
• A portfolio of small to medium products you built end to end, with the ability to explain why each technology was chosen
• Experience with more than one stack, so you can pick the right tool rather than default to one
• Security mindset: authorization, data isolation, secrets management
• Testing culture: unit and E2E (Jest, Playwright / Cypress), including tests written by AI
• Experience working with existing codebases, refactoring, and migrations

AI-native development is the core of the role

• We build with AI every day, so we need real hands-on experience, not familiarity.
• Daily work with Claude Code, Cursor, Codex, or similar agentic tools
• Preparing context for agents: CLAUDE.md / cursor rules, MCP integrations, task decomposition
• Critical review of AI-generated code: hallucinations, unsafe patterns, unnecessary abstractions
• Understanding where AI saves time and where it creates technical debt
• Ability to build an AI-driven workflow for the team, including designers who code
• Ability to explain to a client how AI-native development affects timelines and cost

In the interview we'll ask you to walk us through a real case: a product you built with an agent, how you set up the process, and what went wrong.

Communication

• English B2+, confident in a one-hour client call without an interpreter
• Comfortable talking to CTOs, founders, and C-level: structured, focused on business impact
• Able to explain technical risks, trade-offs, and stack choices in business terms
• Able to say "no" to a poor idea or unrealistic scope respectfully and on time

• Clear written updates and documentation

   

Growth to Team Lead

As you grow into the Lead role, you'll join client calls with CTOs, founders, and C-level stakeholders. We need someone who can explain a technical decision through its business impact, give a reasoned "no" to a poor idea, and keep the relationship intact. If you're a strong engineer but client communication feels like a burden, this role isn't for you, and that's fine.

Your responsibilities will gradually include:

• Direct client communication and calls with CTOs and founders
• Presenting and defending architecture, stack choices, scope, and estimates
• Translating business requirements into technical solutions and explaining risks in business language
• Mentoring and onboarding developers and designers who work in code
• Establishing engineering standards and code review guidelines
• Technical coordination between our team, partner teams, and the client's engineers
• Technical interviews and candidate evaluation

• Project estimation and presale support

   

Nice to have

• Product thinking: you care about what the MVP is for, not only how it's built
• Experience with Lovable, v0, Figma Make, or similar AI builders, and knowing their limits
• Python, Go, or PHP backend experience
• Analytics and A/B testing setup for live products
• Web3: WalletConnect, ethers.js / viem
• Previous Tech Lead experience
• Presale and project estimation experience

Softengi is a custom software development company. We’re building a reliable inbound lead channel and helping more US buyers discover our services. We’re looking for an SEO specialist who can understand our buyers and sales process, then focus our efforts on opportunities likely to bring qualified leads.

You’ll work with our marketing team and an AI-assisted SEO workflow. AI agents already help with research, audits, keyword clustering, and reporting. Your role is to set direction, check the quality of their work, and make the decisions that require experience and business judgment.

Working arrangement:

This is a freelance, remote, part-time role of 15–20 hours per week. You should be based in Ukraine or an EU time zone and available for calls around 15:00–18:00 Kyiv time to overlap with our US team.

What we’re looking for:

• 4+ years of SEO experience, including a strong track record in B2B or IT services.
• Real, verifiable results promoting software development or IT outsourcing companies to the US market.
• Strong technical SEO skills and a solid understanding of search intent and SERP analysis.
• Strategic and commercial judgment: you can adapt SEO practices to a specific business rather than follow a generic checklist.
• Experience measuring SEO’s contribution to leads and pipeline.
• Hands-on experience with Semrush, Screaming Frog, Google Search Console, GA4, and Google Tag Manager.
• Practical experience using AI tools or agents in SEO, including knowing when their output needs to be challenged or verified.
• Experience with B2B link building and digital PR.
• Experience with GEO and visibility in AI-generated answers.
• Upper-intermediate or better English for written and spoken communication, and native Ukrainian.

*Experience with HubSpot or another CRM, lead attribution, or working directly with founders, CMOs, or sales teams would be a plus.

What you’ll own:

• Build and refine our SEO strategy for the US market around our services, ideal customers, competitors, and sales cycle.
• Prioritize opportunities using search demand, buyer intent, SERP analysis, and our ability to offer a credible answer.
• Review AI-generated research, recommendations, and content; catch weak assumptions and improve the workflows behind them.
• Guide technical and on-page SEO so the site is easy to crawl, well structured, and fast.
• Develop our visibility in Google and AI-driven search, including ChatGPT, Perplexity, and Google AI Overviews.
• Connect SEO work to qualified leads, MQLs, SQLs, and pipeline—not just traffic or rankings.
• Explain recommendations and results clearly to the marketing team and management, including what to do next and why.