Jobs at Djinni

We invite you, a highly motivated and results-oriented Windows Site Reliability Engineer, to join our team full-time and ensure the reliability and stability of the company's infrastructure.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success 
 

Responsibilities

• 8-hour shifts
• Monitoring the infrastructure with several monitoring tools
• Ability to communicate clearly and escalate problems
• Performing preliminary investigation of alerts
• Conducting basic triage of requests/problems
• Interacting with DevOps and Engineering teams

Requirements

• Hands-on experience in working with system monitoring tools (Grafana, Prometheus, Graylog, Opsgenie)
• 1+ years of relevant System/IT Administration experience
• Good understanding of Windows Server 2022, 2019 administration principles
• Experience and knowledge of networks
• Troubleshooting skills
• English Pre-Intermediate

Will be a plus

• Basic knowledge of PowerShell, Ansible
• Experience with MetaTrader
• Experience in the trading domain

We offer

• 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)

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.

The expertise we’re looking for

• Work experience as a Tech artist, Animator, Designer etc.
• Experience with JSON;
• Experience with Git;
• Understanding of principles of graphics optimization;
• Confident Photoshop skills.
• Experience with animation in Spine;
• Experience with Photoshop;
• Basic skills After Effects, VFX.

Your position will include

• Preparation of arts and animations in Spine for integration
• Projects optimization;
• Interaction with developers to ensure control over the correct integration of art resources;
• Configuring graphics and voice acting in the engine.

Project Description

Operating an off‑grid Energy Hub supplying a Data Center requires coordinated planning and control of photovoltaic (PV) generation, battery energy storage system (BESS), and Gas Turbine (GT) to ensure continuous, high‑quality power while minimizing operating cost.

Job Description

Required Skills and Qualifications

• 10+ years of professional experience in software engineering, with at least 5 years operating specifically as an Enterprise Architect, Solutions Architect, Principal Engineer, or similar architecture-focused role.
• Proven experience in architecting, designing, and overseeing the implementation of large-scale, complex AI / Data / Cloud platform programs involving multiple cross-functional teams and external vendors.
• Strong understanding of modern SDLC methodologies (Agile, CI/CD, DevSecOps) and distributed system design principles.
• Hands-on experience with Azure/GCP cloud architecture, containerization, and API gateway-based microservice ecosystems.
• Hands-on experience in building on-prem based solutions which can work in isolated/air-gaped environments.
• Hands-on experience in building applications and services which are running on top of Kubernetes.
• Demonstrated experience in multi-vendor program governance, including delivery coordination, RACI ownership, and risk management.
• Deep understanding of data pipelines, ingestion frameworks, and AI/ML integration concepts.
• Excellent communication and stakeholder management skills; able to interface effectively with both engineering and executive audiences.
• Strong analytical, problem-solving, and conflict-resolution abilities in complex delivery environments. Must have a track record of driving technical consensus on high-stakes architectural decisions.

Must-Have / Primary Keywords

Engineering Management, Program Delivery, Enterprise Architect, Solutions Architecture, Principal Engineer, AI/ML, Azure, Cloud Architecture, Data Engineering, DevOps, Stakeholder Management, Risk Mitigation, Cross-Vendor Coordination, Agile Delivery, Technical Leadership

Job Responsibilities

• Discovery and Presale activities
• Close communication with Client Stakeholders
• Technical Documentation Creation and alignment
• Following of Compliance Hitachi Processes important for Project deliverables
• Architectural Design: Define the high-level solution architecture, service catalogs, and data flows between the Energy Management System, Power Plant Controller (PPC), and external AI forecasting services.
• Infrastructure Transition: Lead the technical roadmap for rebuilding the Optimization Engine and its native dependencies for Linux environments.
• Mission-Critical Reliability: Design for high-availability failover clustering and ensure the system can operate in air-gapped or intermittently connected environments using locally cached data.
• Integration Leadership: Define external integration interfaces using industry-standard protocols such as Modbus, IEC 61850, and DNP3.
• Stakeholder Collaboration: Work closely with Product Management to align the MVP roadmap with long-term visions for "Market-Adaptive" and "Workload-Aware" dispatching.
• Security & Compliance: Ensure the architecture meets stringent data center security requirements, including private network execution and automated observability

Join the Wix security team as a SOC Analyst and help protect our global platform. This role focuses on incident analysis, threat hunting, and security automation within our large-scale, hybrid-cloud environment. You'll work alongside security experts to defend against modern threats.

Key Responsibilities

• Incident Management: Manage the full incident lifecycle from detection to resolution.
• Security Automation: Build and maintain SOAR playbooks to reduce manual work and improve detection.
• Threat Hunting: Proactively hunt for threats across our networks and endpoints using a hypothesis-driven approach.
• Team Collaboration: Partner with Incident Response and Engineering to enhance our security posture.

Qualifications

• 1+ years of experience in the cyber security field (e.g., SOC, incident response, or similar security roles).
• Hands-on expertise with modern security tools like SIEM, EDR, and SOAR.
• Strong investigative skills with a deep understanding of core cybersecurity concepts.
• Experience securing complex hybrid-cloud environments (AWS, GCP, or Azure).
• Excellent analytical and communication skills.
• Willingness to cover occasional off-hours shifts as part of our 24/7 follow-the-sun team.
• Relevant security certifications (e.g., GIAC, HTB CDSA, THM SAL) are a plus.

We are looking for a "Mindful Salesperson" - someone who knows that the best deals aren’t forced, they are engineered through empathy and expertise! 

We don’t just sell services; we help businesses in the US and EU markets flourish by solving their toughest challenges.

If you are a master of high-level communication who knows how to listen as well as you negotiate, we want you on our team.

What you’ll actually do:

- Be the scout and dig into LinkedIn, Upwork, and Clutch to find those "perfect match" clients. You’re the one making the first move.
- Master the 7 stages: You’ll handle the whole journey - from finding a lead -> popping the champagne when the deal is signed.
- You are able to listen to the client’s problems and requirements with the same attentiveness as you sell - beautifully and confidently. Your task is to quickly assess the client’s needs, propose possible solutions, and make them feel that they will be well taken care of.
- Craft real proposals: No generic copy-paste. You’ll tailor every offer to the client's specific tech stack and business goals.
- Keep the vibe alive ;) You’ll be the bridge between the client’s vision and our team’s execution.

What we’re looking for:

- You’ve done this before in IT. You know the US and EU markets aren't just names on a map, but different cultures with different ways of doing business.
- Your English is sharp (Upper-Intermediate +). You can joke, negotiate, and argue your point clearly.
- Negotiation & Listening is huge for us. You need to be a pro at persuasion, but an even bigger pro at active listening.
- You know your way around Upwork, LinkedIn, and CRMs, but you also know they’re just tools. It’s your strategy that matters.

Apply and tell us a little bit about your experience :)

N-iX is looking for a Azure DevOps for one of our clients.
The Cloud Engineer role focuses on the design, implementation, and maintenance of an Azure-based cloud infrastructure. This infrastructure is critical for powering connected safety systems, handling secure data ingestion from mobile and embedded devices, and managing scalable storage for telemetry and crash data. The position involves providing reliable notification services for emergency contacts and collaborating with mobile, embedded, and algorithm teams to ensure robust integrations. Additionally, the role supports the deployment of machine learning models for crash detection while maintaining alignment with cybersecurity and data privacy standards.

Responsibilities:

• Architecture & Design: Design and implement scalable Azure cloud architecture for telemetry ingestion, user data management, and crash event processing
• API Development: Develop and maintain RESTful APIs for the integration of mobile apps and BLE-enabled devices
• Database Management: Optimize database design and performance to ensure scalability for telemetry and event workloads
• Notification Workflows: Build and manage SMS, email, and push notification workflows triggered by crash events
• ML Support: Support the deployment and versioning of machine learning models used for crash detection
• Automation & DevOps: Implement CI/CD pipelines for cloud services and infrastructure using Azure DevOps
• Optimization: Monitor and optimize cloud resource usage, costs, and overall performance to ensure system reliability under real-world conditions
• Compliance: Implement infrastructure and workflows that align with cybersecurity and data privacy standards, such as GDPR and ISO/IEC 27001

Requirements:

• Experience: At least 5 years of experience in cloud engineering, with a preference for Microsoft Azure
• Technical Knowledge: Strong understanding of cloud-native services, serverless architecture, API development, and data pipelines
• Security & Compliance: Familiarity with security best practices, including encryption, identity management, and regulatory compliance
• Scripting & Automation: Proficiency in scripting and automation tools such as PowerShell, Python, Terraform, or Bicep
• Monitoring: Experience using monitoring tools like Azure Monitor, Application Insights, or Prometheus
• Tech Stack Proficiency: Familiarity with Azure-specific tools, including Functions, API Management, Event Grid, IoT Hub, Blob Storage, Cosmos DB, and PostgreSQL.

Nice to Have:

• Domain Expertise: Experience with IoT, wearable safety systems, or BLE device integration and telemetry handling
• Advanced ML Ops: Exposure to the lifecycle management and deployment of machine learning models
• Certifications: Professional certifications such as Azure Solutions Architect or Azure Security Engineer

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

YELK is a web development outsourcing agency that provides scalable digital solutions for SMEs and enterprise clients across the EU and the USA. We specialize in delivering custom web development, design, and AI integration services.

We are looking for a skilled and proactive Full Stack WordPress Developer who understands the WP ecosystem deeply and can deliver high-quality, performant websites. In this role, you will be responsible for creating custom themes and building digital experiences that meet our clients' diverse needs. We craft sites using a mix of modern page builders and custom-coded solutions. If you enjoy working with boilerplate code and are proficient in transforming complex designs into responsive blocks, you’ll find plenty of room to grow here.

Responsibilities:

• Full-Cycle Development: Build high-quality corporate websites and eCommerce solutions using various page builders (Elementor, WPBakery, Oxygen) and Gutenberg.
• Custom Solutions: Develop custom WordPress themes and blocks from scratch, ensuring seamless integration with ACF.
• Pixel-Perfect Implementation: Transform Figma layouts into clean, responsive code (both for individual components and full-scale themes).
• Optimization & SEO: Maintain and optimize websites to ensure top-tier Google PageSpeed scores and implement technical SEO best practices for better search engine visibility.
• Collaboration: Estimate project timelines, engage in technical communication with clients, and follow internal documentation and boilerplates.

Requirements:

• At least 2 years of commercial experience with WordPress and WooCommerce.
• Deep understanding of PHP, HTML5, CSS3 (SCSS), and JavaScript.
• Proficient in transforming complex Figma layouts into reusable, responsive blocks and scalable digital experiences using a mix of custom code and modern page builders.
• Strong experience in customizing ACF for Gutenberg (creating custom blocks and flexible content structures).
• Practical experience with OOP, REST API, and version control via Git/SSH.
• Ability to write well-documented code and follow technical specifications strictly.
• Intermediate (or higher) English for effective verbal and written collaboration.

Will be a plus:

• Experience in using AI-powered IDEs (e.g., Cursor, Google Antigravity) to optimize coding speed and quality.
• Knowledge of Apache and Nginx server technologies. 

We offer:

• Paid 21 days of vacation and sick leave.
• Free morning schedule (start from 9 to 11 am).
• An engaging team environment where your voice is heard and initiatives are supported.
• Market competitive salary and benefits based on conversion rates.
• Educational budget, upskill courses, and workshops.
• 100% remote. 

We are looking for a Senior DevOps Engineer to design, build, and operate scalable, highly available infrastructure on AWS. This role is primarily focused on AWS-native container platforms, while also requiring hands-on Kubernetes experience for hybrid workloads, tooling, and platform support.

Experience Level

• 5+ years of professional experience in DevOps, SRE, or cloud infrastructure roles
• 3+ years of hands-on experience operating production workloads on AWS

What You’ll Do

• Design and manage AWS infrastructure using Terraform
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions
• Deploy, operate, and scale containerized applications using AWS-native container services, including: 
  • Amazon ECS and ECS on Fargate
  • Amazon ECR
  • Application and Network Load Balancers
• Configure and tune autoscaling, high availability, and fault-tolerant architectures
• Work with Kubernetes environments, including cluster-level operations and local cluster setup for development
• Support and improve local developer build environments
• Ensure production systems are reliable, secure, and observable

What We’re Looking For

• Strong hands-on experience with AWS and Infrastructure as Code (Terraform)
• Production experience running containers on ECS and/or Fargate
• Hands-on experience with Kubernetes, including working with clusters in production or development environments
• Solid understanding of autoscaling, redundancy, and resilient system design
• CI/CD expertise with Jenkins and GitHub Actions
• Strong Linux, networking, and troubleshooting skills

Nice to Have

• Experience operating EKS or hybrid ECS/Kubernetes environments
• GitOps or deployment automation experience
• Familiarity with AWS observability and cost-optimization tooling
• AWS certifications

Project overview

The project focuses on building and evolving a cloud‑based Business Intelligence platform using Qlik Cloud to support enterprise reporting, analytics, and self‑service data exploration. The work emphasizes data modeling, dashboard development, semantic layer design, and ensuring trusted, governed insights for business and operational stakeholders.

Team

You will work in a cross functional team including software engineers, QA specialists, and cloud engineers. The team collaborates in an Agile setup with shared responsibility for infrastructure, delivery pipelines, and platform stability.

Position overview

We are looking for a BI Engineer with hands‑on experience in Qlik Cloud to design, develop, and maintain business intelligence solutions. You will work closely with data, business, and platform teams to transform data into actionable insights, enabling decision‑making across the organization. The role combines strong analytical thinking with BI development, data modeling, and stakeholder collaboration.

Technology stack

Qlik Cloud Qlik Sense SaaS, Qlik Data Integration, SQL, PostgreSQL, SQL Server, Snowflake, BigQuery, Azure Cloud data platform, REST APIs, flat file integrations, Git

Responsibilities

• Design, develop, and maintain Qlik Cloud dashboards, applications, and reports
• Translate business requirements into clear data visualizations and KPIs
• Develop reusable measures, dimensions, and analytical data models in Qlik
• Create and maintain Qlik load scripts to ingest and transform data from multiple sources
• Ensure performance, usability, and scalability of Qlik applications
• Apply Qlik Cloud best practices for governed and self service analytics
• Collaborate with business stakeholders to understand reporting and analytics needs
• Support BI releases, enhancements, and ongoing improvements across environments
• Optimize existing dashboards and data models for clarity and performance
• Contribute to BI standards, templates, and development guidelines
• Stay informed about new Qlik Cloud features and analytics trends

Requirements

• 2 to 5 years of experience in a BI Engineer, BI Developer, or Analytics Engineer role
• Hands on experience with Qlik Cloud Qlik Sense SaaS
• Strong SQL skills and experience working with relational databases
• Experience designing analytical data models and KPIs
• Understanding of data visualization principles and dashboard UX
• Ability to work closely with business users and translate requirements into insights
• Strong analytical and problem solving skills

Nice to have

• Experience with Qlik Data Integration or other ETL or ELT tools
• Exposure to cloud based data warehouses
• Experience with data governance or data quality initiatives
• Basic scripting or automation experience
• Familiarity with CI CD concepts for BI assets
• Experience supporting enterprise or regulated environments

Requirements:

• Confident understanding of On‑page, Off‑page, and Technical SEO
• 1–2 years of experience as an SEO specialist
• Experience independently managing SEO projects
• Ability to conduct technical audits and identify growth opportunities
• Experience working with Google Search Console, GA4, Ahrefs / Seranking, Screaming Frog / Netpeak Spider
• Ability to work with semantics: collection, clustering, prioritization
• Understanding of link‑building logic (anchor lists, strategy, placement control)
• Strong skills in Excel / Google Sheets
• Basic knowledge of HTML and understanding of CMS logic (WordPress or similar)
• Understanding of Google algorithms and E‑E‑A‑T principles
• Experience in task setting and quality control of completed work

Will be plus

• Experience mentoring or training Junior SEO specialists
• Experience managing small teams (1–3 people)
• Experience working with PBNs and drop‑domains
• Experience automating reporting (API, Apps Script, etc.)
• Experience in the iGaming / affiliate niche
• Experience working with international markets

Responsibilities:

• Independent management of part of the SEO projects
• Oversight of tasks performed by Junior SEO specialists
• Quality control of completed tasks (semantics, technical specifications, link placements, reports)
• Training Junior specialists to work with tools and internal processes
• Explaining task logic from scratch
• Participation in the development and adjustment of SEO strategies
• Conducting technical and content audits
• Creating and overseeing the execution of the content plan
• Monitoring the link‑building strategy and donor quality
• Analyzing traffic and ranking dynamics
• Preparing project reports
• Participating in presale analyses for new projects

Benefits:

• An exciting and challenging job in a fast-growing business groups, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
• Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
• Beautiful offices in Warsaw, Limassol, Kyiv, Almaty, Yerevan — work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day
• Modern corporate equipment based on macOS or Windows and additional equipment are provided
• Paid vacations, sick leave, personal events days, days off
• ️Corporate health insurance program for your well-being
• Referral program — enjoy cooperation with your colleagues and get the bonus
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
• Rewards program for mentoring and coaching colleagues
• Free internal English courses
• Yoga classes to help you stay active and energized
• In-house Travel Service
• Multiple internal activities: online platform for employees with quests, gamification, presents and news, RedCore clubs for movie / book / pets lovers, special office days dedicated to holidays
• Corporate events, team buildings

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We deliver an AI-driven video platform that automatically identifies and extracts the most engaging segments from live and on-demand video feeds, generates dynamic teasers and summaries, indexes content for rapid retrieval, and transforms formats (e.g., horizontal to vertical). Our solution serves global media, sports, news, and gaming organizations, processing petabytes of visual data and supporting millions of end users.

Engineers face challenges in computer vision research, big data analytics, and production-grade cloud infrastructure to enable near-real-time processing, seamless scaling, and high-throughput delivery.

About the Role:

As a Senior Algorithms Engineer, you will bridge cutting-edge research and production systems, owning design, implementation, and scaling of advanced computer vision and AI models.

You will invent new approaches using deep learning, large language models (LLMs), and vision-language models (VLMs) and lead end-to-end engineering from prototype to cloud deployment.

Key Responsibilities:

• Design, prototype, and validate computer vision and ML algorithms using PyTorch, TensorFlow, OpenCV and LLM/VLM APIs.
• Analyze multi-terabyte video datasets to identify patterns, perform behavioral analytics, and build predictive models.
• Develop and maintain an Algo-Ops framework for seamless integration, monitoring, debugging, and scaling of algorithms in cloud environments.
• Work closely with DevOps to deploy and scale models in production (no need to own infrastructure).
• Evaluate and integrate emerging video-language and generative AI models (e.g., Gemini, open-source VLMs) into processing pipelines.
• Collaborate with cross-functional teams to translate research prototypes into production-grade features and participate in on-call support when needed.
• Continuously research and adopt new AI tools (Claude Code, Cursor, etc.) to enhance workflows and iterate on model performance.

Required Competence and Skills:

• At least 8 years of professional software development experience. 
• 4+ years of Python experience.
• Expert-level hands-on proficiency with PyTorch and TensorFlow.
• Experience with video processing and computer vision libraries.
• Solid understanding of cloud infrastructure and DevOps basics (AWS, GCP, Bash, Nomad).
• Hands-on experience using AI tools (LLMs/VLMs, agentic workflows).
• Proven ability to analyze large-scale datasets and implement predictive behavioral models.
• Self-starter with strong autonomy to research, lead, and execute complex technical projects end-to-end.
• M.Sc. or higher in Computer Science, Electrical Engineering or equivalent.

Nice to Have:

• Experience integrating models like GPT, Gemini, or open-source VLMs
• Proficiency with big data tools (Spark, Iceberg, PostgreSQL, Elasticsearch, Redis).
• Working knowledge of containerization and orchestration platforms (Docker, Kubernetes, Nomad).

We are looking for a Data Engineer to join our partner team.

The primary goal of this role is to design, build, and maintain a scalable data infrastructure that supports analytics, reporting, and data-driven decision-making across the organisation.

This role focuses on developing reliable data pipelines, integrating multiple data sources, ensuring data quality, and delivering business-oriented data solutions aligned with company goals.

What you will do:

• Development and maintenance of ELT processes for collecting, transforming, and loading data from various sources into BigQuery.
• Creation and development of a dbt project to build data models (stage, base, intermediate, dimension, report layers) used in analytics and reporting.
• Optimization of performance of pipelines, SQL queries, and data models.
• Validation, testing, and data quality control at all stages of the pipeline.
• Setting up monitoring and alerting for data pipelines and key infrastructure components.
• Integration of data from various sources (mobile application, financial and marketing information), including APIs and external systems.
• Collaboration with analysts to ensure data is properly structured, easy to use, and supports the team’s analytical needs.
• Maintaining up-to-date documentation regarding data architecture, ELT processes, and dbt models.
• Tools you will work with: SQL, Python, dbt, and GCP cloud services for building and maintaining data pipelines.

What we expect from you:

• 3+ years of experience in a Data Engineer position or a related role with a strong focus on building pipelines and data modeling.
• Deep knowledge of SQL: complex queries, optimization, understanding of Data Warehousing principles.
• Practical experience working with BigQuery, Snowflake, Redshift, or other analytical warehouses.
• Experience working with dbt, including testing, documentation, and CI/CD integration.
• Experience building and maintaining ELT/ETL pipelines.
• Strong proficiency in Python for integrations, automation, and data processes.
• Confident use of Git and experience working with GitHub/GitLab.
• Experience working with GCP or other cloud platforms.
• Attention to detail, strong problem-solving mindset, and ownership of results.
• Experience collaborating with analysts and understanding their data needs.
• Nice to have:
• Experience optimizing cost efficiency and query performance in cloud environments.
• Experience working with real-time / streaming data solutions.
• Ability to clearly explain technical solutions to stakeholders.

We are building a web platform for investment portfolio management: assets, transactions, cash flows, market and historical data. Architecture is microservice-based. A defining feature is client-side encryption of sensitive data: the backend stores and processes encrypted fields and does not decrypt them on the server.

In parallel we are building an internal LLM-powered coding layer: a developer describes a task in natural language, the system retrieves context from a knowledge graph and vector search, a coding agent with tooling extensions (MCP-style) generates changes in a dev copy of the main application, followed by human review and merge. The LLM is self-hosted (for example an OpenAI-compatible endpoint backed by a local inference stack), so sensitive data does not go to third-party cloud APIs - that is part of the security model.

Stack (reference)

• Main application: React, TypeScript, a major UI library, Apollo Client; GraphQL API on Node.js (Apollo Server), Mongoose, MongoDB, WebSocket subscriptions.
• Data services: Node.js, Express, Prisma, PostgreSQL (historical FX rates, historical asset prices).
• Options and market data: Python, FastAPI, async, scraping and browser automation where needed.
• Shared client packages: API types, crypto helpers.
• AI coding layer: Python (FastAPI, WebSocket), Docker Compose, graph database, vector store, Redis, MCP-style tool servers, repository indexing, LLM integration via an OpenAI-compatible API.

Responsibilities

• Build and maintain the core web application: frontend and GraphQL backend, features and fixes, API and contract design.
• Evolve Node.js microservices: REST, Prisma, integrations with market data sources.
• Maintain and extend the Python service for options and related flows (FastAPI, async, reliability).
• Work on shared libraries and keep contracts aligned between the main app and services.
• Grow the AI coding layer: task orchestration, streaming agent output, indexing the monorepo or multi-repo workspace, RAG, retrieval quality, tool servers, sandbox setups (Docker, networking with core services).
• Improve natural-language-to-code workflows as an internal product: from task text to generated code, diff, and review.
• Keep the codebase maintainable: apply SOLID and clear boundaries where they help, refactor safely, and extend automated tests together with features.

Requirements

Must have

• Strong TypeScript and React in production.
• Node.js: server-side apps, REST and/or GraphQL, async programming.
• Databases: relational DBs + Prisma (or equivalent); basic MongoDB understanding.
• GraphQL: schemas, operations; Apollo (client and/or server), preferably subscriptions and WebSocket.
• Python for services: FastAPI, async, project structure, dependencies.
• SOLID principles and practical OOP / design patterns in TypeScript and Python (single responsibility, dependency direction, testable modules).
• Clean Code habits: clear naming, small focused units, readable control flow, sensible refactoring; ability to read and evolve existing code without unnecessary churn.
• Automated testing: writing and maintaining unit and integration tests in the stack you touch (for example Jest for Node/React, pytest for Python), and using tests to protect critical paths and refactors.
• Understanding of LLMs in production: prompts, tool calling, context limits, basic risks (hallucinations, secrets in generated code).
• RAG, vector search, knowledge graphs - solid basics and willingness to own this in our codebase; hands-on with a graph DB and vector DB is a strong plus.
• Docker and docker-compose: run stacks, debug services, understand container networking.
• Git, code review, careful changes across multiple codebases.
• English for documentation and code; comments in English.

Nice to have

• Major React UI kits, GraphQL Code Generator, Mongoose.
• MCP or similar tool protocols for LLM agents.
• Self-hosted inference (for example vLLM-class stacks), OpenAI-compatible endpoints.
• Experience with CLI coding agents or comparable automation.
• Client-side encryption (AES/RSA) or fast ramp-up from existing code.
• Fintech, back office, portfolio accounting, market data.
• TDD or a strong habit of adding tests with behavior changes, not only after the fact.

Soft skills

• Self-directed work across several repositories and a clear mental model of how they connect.
• Care with data and APIs around financial entities and encryption.
• Constructive review habits and clear trade-off communication.

Stay Group is an innovative marketing company on a mission to help businesses acquire their target customers and create effective solutions in the iGaming and entertainment industries. We develop tools that allow our partners to scale their products, optimize processes, and improve performance.

We are currently looking for a Technical Specialist to support the team in managing technical integrations, postback setups, CRM operations, and automation of internal processes.
 

Key Responsibilities:

• Close work with Affilka by SoftSwiss:
• Set and assign commisions, integrate postbacks, set Landing Pages and provide tracking links to the team/Partners
• To be present  by request at chats with Partners and assist with integration process, doing the s2s tests, and setting the deals
• Research and Analyze API doc and implement the solution in providing tg_bot that will automatically do inegration and giving the deal details
• Сlose work with CRM system Nethunt: change cards' status etc.
• Assist the team in terms of technical questions/support
   

Requirements:

• 1+ year of experience in a similar position (Affiliate Manager Assistant / Technical Support
• Integrations Manager / iGaming operations). Experience in iGaming or affiliate marketing will be a strong advantage.
• Strong understanding of affiliate tracking systems, postbacks and conversion tracking.
• Experience working with Affilka (SoftSwiss) or other affiliate platforms will be a big plus.
• Experience with S2S postbacks, testing conversions and troubleshooting tracking issues.
• Familiarity with CRM systems (experience with NetHunt will be an advantage).
• Understanding of affiliate deals, commissions, CPA / RevShare / Hybrid models.
• Ability to communicate with partners during technical integrations and setup processes.
• Basic technical skills: ability to work with URLs, parameters, tracking links, tokens, macros.
• Experience with Telegram bots or automation tools will be a plus.
• Strong attention to detail and ability to manage multiple tasks simultaneously.
• Good problem-solving skills and ability to independently find solutions.
   

Benefits:

• Freedom to choose where to work: work from anywhere in the world with the freedom of remote options, or join our dynamic office in Kyiv for an inspiring in-person experience.
• Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.
• Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.
• A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.
• Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

As part of the AI transformation strategy, Kyivstar invests resources into development of products and services that uses cutting edge ML and Speech technologies to significantly improve internal processes and day-to-day tasks, but also uses gained experience to help partners and clients to receive maximum benefits from these technologies too.

Necessary skills:

•4+ years of experience in Machine Learning, Deep Learning and Speech Processing

•Strong Python skills with experience building maintainable and production-ready ML code

•Fundamental knowledge of  ML/DL theoretical concepts

•Hands-on experience with training and deploying models for various speech processing tasks including data preparation (e.g., speech classification, speech-to-text, text-to-speech, speaker diarization, etc.)

•Practical experience developing and deploying end-to-end production-ready ML pipelines, covering data gathering, preparation, training, validation, and inference

•Proficient in version control (Git) and containerization tools (Docker)

Would be a plus:

•Experience with real-time / low-latency speech systems

•Experience with distributed data processing and training in multi-node, multi-GPU environments

•Familiarity with PySpark for large-scale data processing

•Experience with Azure/AWS

•Exposure to Data Science in the Telecom industry

Responsibilities:

•Design, train, and optimize ASR and TTS models for production use

•Design, train, and evaluate classical ML models

•Perform feature engineering and data analysis for both speech and non-speech data

•Collaborate with DE/DevOps team to deploy the solution

•Plan and manage ML projects, articulate methodologies, and communicate results and business impact to stakeholders and customers

Proposed:

•Working with huge amounts of data at the largest operator in Ukraine

•Hands on experience with Cloud technologies and tools

•Great diversity of tasks and projects to utilize your knowledge and skills; flexibility in tools and approaches

•Opportunity to grow within the team of talented data scientists