Jobs at Djinni

We’re expanding our engineering team and looking for developers who are comfortable building production-grade React and Node.js applications for early-stage companies in healthcare, fintech, and AI.

Although the role is primarily front-end oriented, the ability to contribute to backend services in Node.js is important.

You’ll join a team with clear processes, a modern stack, and a strong engineering culture.
 

What you will do

• Develop web applications using React and related tooling.
• Build and maintain backend services and APIs with Node.js (Nest.js or similar frameworks).
• Work with cloud environments and containerized setups using tools like Docker, Kubernetes, AWS, or GCP.
• Participate in architectural discussions, propose improvements, and help maintain technical standards.
• Implement new features from specification to production.

What we expect

• Solid knowledge of JavaScript (ES6+) and TypeScript.
• Strong practical experience with React
• Familiarity with Node.js (Nest.js or Express).
• Experience developing APIs using Node.js frameworks.
• Understanding of relational or NoSQL databases (Postgres, MongoDB, Firebase, Supabase).
• Ability to write maintainable, well-structured code and follow best practices.
• English at an Intermediate level or higher.

Additional advantages

• Experience with major cloud providers (AWS, Google Cloud).
• Experience with React Native
• Practical understanding of Docker/Kubernetes.
• Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI).

What we offer

• Engaging projects built with a modern, well-supported tech stack.
• A review process that ensures consistent feedback and knowledge sharing.
• A culture focused on continuous learning and professional development.
• Full remote work with a team distributed across multiple countries.
• Competitive compensation in USD with periodic performance reviews.
• Flexible payment methods tailored to your location.
• Work schedule aligned with your time zone.
• English practice sessions.
• Paid sick leave and annual vacation (15 business days).
• Regular team activities online.
• Coverage of monthly psychologist support sessions.

🚀 Junior / Intermediate Recruiter (Sourcer)

We are looking for an active and organized Recruiter / Sourcer to join our team, take charge of the initial candidate sourcing lifecycle, and help us attract top talent.

• Work Location: 100% Remote
• Employment Type: Full-time

📌 Key Responsibilities:

• Job Posting & Management: Draft engaging job descriptions and publish them across key platforms (job boards, Telegram channels, social media, specialized talent platforms).
• Candidate Sourcing: Actively search for relevant candidates through candidate databases, LinkedIn, Djinni, DOU, GitHub, and alternative sourcing channels.
• Resume Screening: Review and screen resumes/profiles against position requirements.
• Initial Outreach & Engagement: Conduct initial communications with candidates, assess motivation, and coordinate next interview stages.
• Pipeline Management: Maintain accurate candidate statuses and update records in the ATS system.

🎯 Requirements:

• Good understanding of recruitment processes and modern sourcing channels.
• Active sourcing skills (Boolean Search and X-ray search techniques are a plus).
• Strong written and verbal communication skills with a candidate-first approach.
• High attention to detail, self-discipline, and strong time-management skills for remote work.
• Quick learner with a strong desire to grow in the recruitment field.

💡 What We Offer:

• Flexibility: 100% remote work from anywhere.
• Growth: Hands-on experience with diverse roles and a clear career path toward Full-cycle Recruiter.
• Team Support: Comprehensive onboarding and a friendly, collaborative environment.
• Compensation: Competitive salary (Base + Placement Bonuses — discussing on an interview) and transparent processes.We look forward to connecting!

ZBL is an international EdTech product company that builds, launches, and scales proprietary education brands in the Health & Fitness niche, powered by global influencers and performance marketing. We operate as a full-cycle model: from idea and product development to marketing, analytics, and operations — fully in-house.

Key Responsibilities:

• Plan, launch, and manage Meta (Facebook & Instagram) ad campaigns for multiple products and audiences.
• Conduct audience research, targeting, and segmentation to maximize ad performance.
• Monitor, analyze, and optimize campaigns to achieve KPIs (ROAS, CTR, CPA, etc.).
• Create, test, and iterate ad creatives, copy, and formats for maximum engagement.
• Manage ad budgets and bidding strategies to ensure cost-efficient campaigns.
• Prepare regular performance reports with actionable insights for the marketing team.
• Stay updated with Meta Ads Manager features, trends, and best practices.
• Collaborate with designers, copywriters, and marketing teams to ensure campaigns align with brand goals.

Requirements:

• Proven experience managing Meta Ads campaigns with measurable results.
• Strong analytical skills and experience using data to optimize campaigns.
• Knowledge of audience research, targeting, and ad segmentation.
• Experience with ad creative testing, copywriting, and A/B testing.
• Familiarity with ad budget management and bidding strategies.
• Excellent communication and collaboration skills.
• Ability to work independently and meet deadlines in a fast-paced environment.

Benefits:

• Health First: Free access to all our fitness products to stay in peak shape.
• Performance Rewards: Transparent bonus system, corporate English lessons, and rewards for outstanding achievements.
• Remote Culture: 100% remote work within a team of growth-oriented professionals.

We are looking for an SDET – Python to join a team developing and maintaining automated testing solutions for digital media and home entertainment technologies.

The ideal candidate combines strong Python programming skills with solid QA and test automation experience and is comfortable working with automation frameworks, debugging complex issues, and improving test infrastructure.

Requirements:

• 2+ years of experience in software test automation, SDET, or a similar engineering role;
• Strong programming skills in Python;
• Experience developing, maintaining, and improving automated testing frameworks;
• Experience designing and developing automated test scripts and test utilities;
• Good understanding of software design principles and clean code practices;
• Understanding of Page Object Model and other test automation design patterns;
• Experience with debugging and troubleshooting software and automation issues;
• Good working knowledge of at least one Linux/Unix-based platform as well as Windows;
• Understanding of QA methodologies, software testing processes, and related artifacts;
• Experience working in Scrum/Agile environments;
• Experience with version control systems and code review practices;
• Understanding of CI/CD concepts and test automation integration would be a plus;
• Experience with API, integration, or end-to-end testing would be a plus;
• Strong analytical and problem-solving skills;
• Excellent written and verbal English communication skills;
• Ability to collaborate effectively with distributed international teams.

Job Responsibilities

• Developing, maintaining, and enhancing Python-based test automation frameworks;
• Designing and implementing automated tests for new and existing product functionality;
• Developing reusable test automation components, utilities, and tools;
• Improving the reliability, scalability, and maintainability of the automation infrastructure;
• Performing code reviews and contributing to code quality standards;
• Debugging automation and product issues and identifying root causes;
• Investigating test failures and working closely with development and QA teams to resolve issues;
• Creating and maintaining technical documentation;
• Supporting test execution and integrating automated tests into development and CI/CD processes;
• Participating in test strategy and automation-related technical discussions;
• Communicating and collaborating with international teams across the US and UK;
• Performing limited manual testing when required — approximately 20% of the role.

Department/Project Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation testing of the video and audio content and other services available via digital media players using a custom test automation framework.

Місія ролі:
Забезпечити операційний кіберзахист AI-платформи та AI-сервісів: security monitoring, incident response, vulnerability management, IAM control, auditability, detection engineering і взаємодію з внутрішніми або зовнішніми SOC/IR-командами. Це роль, яка відповідає за те, щоб AI-рішення не були “чорною коробкою” з точки зору безпеки, логування, реагування та контролю.

Обов’язки:
-Налаштування security monitoring для AI-платформи.
-Визначення обов’язкових security logs для AI-сервісів, API, admin actions.
-Побудова detection rules та alerting.
-Управління vulnerability backlog.
-Контроль IAM, privileged access і audit logs.
-Підготовка incident response playbooks.
-Проведення security reviews перед production release.
-Взаємодія з DevOps, AppSec, PM і зовнішніми security-партнерами.
-Участь у прийманні vendor-рішень з точки зору operational security.

Вимоги:
-4+ роки досвіду в SecOps, SOC, infrastructure security або security engineering.
-Досвід роботи з SIEM/log management: Microsoft Sentinel, Splunk, Elastic, OpenSearch, Wazuh або аналоги.
-Практичний досвід incident response: triage, containment, escalation, post-incident review.
-Досвід vulnerability management: scanning, prioritization, remediation tracking.
-Розуміння IAM, MFA, privileged access, RBAC, service accounts.
-Розуміння Linux hardening, network security, firewalling, TLS, VPN.
-Досвід створення security playbooks/runbooks.
-Вміння читати технічні логи та знаходити аномалії.
Бажано:
-Досвід Kubernetes/container security.
-Досвід з MITRE ATT&CK, NIST, ISO 27001.
-Досвід у regulated або critical environments.
-Досвід побудови detection rules для API, identity, infrastructure та application events.
-Досвід інтеграції security logging з DevOps/MLOps платформами.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр

-Можливе бронювання


Умови для чинних військових:
-Військова служба 

-Служба в Києві (житло не надається), Центр, Київ

-повне грошове забезпечення для тилової посади

Місія ролі:
Забезпечити надійну, безпечну та автоматизовану інфраструктуру для AI/ML-рішень: від середовищ розробки й CI/CD до production deployment, observability, secrets management, model serving та підтримки AI-сервісів в обмежених або гібридних середовищах. Це не просто класичний DevOps. Для CAIO-команди потрібен інженер, який розуміє, що AI-рішення мають додаткові вимоги: версіонування моделей, контроль даних, reproducibility, GPU/CPU workloads, evaluation pipeline, rollback моделей і моніторинг якості AI-сервісів.

Обов'язки:
-Побудова та підтримка інфраструктури для AI-сервісів.
-Автоматизація deployment, rollback, configuration і release management.
-Побудова CI/CD pipelines для backend, frontend, data/ML components.
-Підтримка model serving environments.
-Впровадження observability для AI-сервісів: метрики, логи, traces, алерти.
-Забезпечення repeatability середовищ: dev/test/stage/prod.
-Підтримка security baseline разом із SecOps та AppSec.
-Документування deployment/runbook процедур разом із Technical Writer.
-Підтримка vendor-delivered компонентів після приймання в експлуатацію.

Вимоги:
-4+ роки практичного досвіду в DevOps, platform engineering, SRE або infrastructure automation.
-Production-досвід з Linux, Docker, CI/CD, GitOps або близькими практиками.
-Практичний досвід з Kubernetes або Docker Compose / Nomad / іншими orchestration-підходами.
-Досвід побудови CI/CD pipelines для backend-сервісів.
-Досвід з IaC/config management: Terraform/OpenTofu, Ansible, Helm, Kustomize або аналоги.
-Розуміння мереж, TLS, DNS, reverse proxy, firewall, VPN, service discovery.
-Досвід з secrets management, RBAC, service accounts, audit logs.
-Досвід моніторингу та логування: Prometheus, Grafana, Loki, ELK/OpenSearch, VictoriaMetrics або подібні інструменти.

Бажано:
-Досвід MLOps: MLflow, Kubeflow, KServe, BentoML, Ray, Airflow, Prefect, Argo Workflows.
-Досвід розгортання LLM або ML models: vLLM, Triton, Ollama, Hugging Face stack, model registry.
-Досвід з GPU workloads, NVIDIA drivers, CUDA runtime, resource scheduling.
-Досвід роботи з on-prem, hybrid або isolated/air-gapped environments.
-Досвід у defence, govtech, fintech, telecom або critical infrastructure.

Умови для цивільних:

-Офіційне працевлаштування
-Офісна робота, Київ, Центр
-Можливе бронювання
 

Умови для чинних військових:
-Військова служба
-Служба в Києві (житло не надається), Центр, Київ
-Повне грошове забезпечення для тилової посади

At UAI Labs, we're building the next generation of intelligent automation — tools and solutions that help companies work smarter, faster, and more creatively. We take on the repetitive, manual, "why-is-this-still-done-like-this?" work so people can focus on skills that matter.

As a growing startup, we move fast, experiment often, and love turning ambitious ideas into real products. You'll work with emerging tech and contribute to meaningful projects from day one. Here, curiosity is an advantage, and creativity is part of the job description.

If you want to solve real problems and shape the future of automation, you'll feel right at home.

About the Role

We are looking for a strategic, highly skilled UiPath Solution Architect to lead the design and implementation of scalable, enterprise-grade automation solutions across the organization. In this role, you will define solution architectures, guide technical direction, and ensure alignment between business objectives and technology choices.
 

Responsibilities

• Own the end-to-end architecture for complex automation initiatives, from feasibility assessment through deployment
• Design enterprise-grade UiPath solution architectures, reusable components, and reference frameworks (REFramework and beyond)
• Define architectural standards, governance models, and best practices for the automation Center of Excellence (CoE)
• Evaluate solution options and validate technical feasibility across business processes
• Align automation architecture with organizational strategy and business goals
• Architect integrations across enterprise systems (ERP, CRM, cloud platforms, SaaS)
• Oversee Orchestrator design, infrastructure planning, and system interoperability
• Conduct design and code reviews to ensure compliance with architectural principles and coding standards
• Provide technical leadership and guidance to developers, business analysts, and the broader CoE team

• Stay up to date with emerging technologies, including AI-enabled automation and cloud-native patterns

   

Required Skills & Qualifications

• 10+ years of experience in solution architecture, software engineering, or related roles
• Hands-on experience designing and implementing enterprise-scale automation solutions using UiPath (Orchestrator, REFramework, AI Center, etc.)
• Strong background in software architecture and integration design
• Experience designing distributed and scalable systems
• Proficiency in one or more programming languages (Python, Java, C#, Node.js)
• Solid understanding of APIs, cloud platforms (AWS, Azure, or GCP), and security principles
• Experience producing architectural documentation and diagrams
• Strong leadership and stakeholder management skills

• Strong professional English communication skills (spoken and written)

   

Preferred Qualifications

• UiPath Solution Architect or Advanced Developer Certification
• Knowledge of AI/ML-enabled use cases and digital transformation initiatives
• Experience with containerization and orchestration (e.g., Kubernetes)
• Understanding of compliance, IAM, and auditing requirements

• Experience working in or defining Centers of Excellence (CoE)

   

Who You Are

• A strategic thinker with strong technical depth
• Comfortable balancing hands-on involvement with high-level architecture
• A trusted advisor to senior stakeholders
• Passionate about designing scalable, future-proof solution landscapes

Rentberry is the first global AI-powered home rental platform that streamlines the long-term rental process, offering a fully digital, all-in-one rental ecosystem. We are a fast-growing startup with a remote-first, startup-style work environment — minimal bureaucracy and high autonomy for team members.

We're looking for a hands-on Email Outreach & Deliverability Specialist to build our outbound email program from the ground up. This is a builder's role: you'll architect and maintain a multi-domain sending infrastructure that protects deliverability at scale, then proactively design and run the segmented outreach campaigns that drive results.

What You'll Do

Email Infrastructure & Deliverability

• Design, build, and maintain a scalable outbound sending infrastructure from scratch.
• Stand up outreach across platforms (Instantly, Smartlead) and ESP/infrastructure tools (Mailgun, SendGrid, Amazon SES, Postmark) as appropriate.
• Configure and monitor SPF/DKIM/DMARC across all domains; manage IP/domain reputation, warm-ups, and feedback loops.
• Proactively monitor deliverability (inbox placement, spam complaints, bounce rates) per domain, and pause, swap, or replace degrading/burned domains and mailboxes before they affect the wider setup.
• Troubleshoot deliverability issues: blacklists, spam traps, bounce handling, and authentication failures.

• Maintain clean suppression lists (opt-outs, bounces) and enforce sending limits and auto-pause rules.

   

Outreach & Campaigns

• Segment a large contact base and design tailored sequences for each segment.
• Build, launch, and continuously optimize automated email flows, drip sequences, and one-off campaigns.
• Personalize messaging and run structured A/B tests on copy, subject lines, and send timing.
• Manage replies across a high volume of mailboxes.
• Ensure compliance with GDPR, CAN-SPAM, CASL, and other applicable regulations.

• Analyze performance (deliverability, open rate, reply rate, CTR, conversions) and report on what's working.

   

What We're Looking For

• 2+ years in email deliverability and/or outbound email, including hands-on cold outreach.
• Proven experience building and managing multi-domain / multi-mailbox sending setups (not just single-domain marketing email).
• Hands-on experience with cold-outreach platforms (Instantly, Smartlead, Lemlist, Apollo, or similar) and ESPs (Mailgun, SendGrid, Amazon SES, Postmark, HubSpot, Mailchimp/Mandrill).
• Strong command of email authentication (SPF, DKIM, DMARC), feedback loops, warm-up strategy, and sender-reputation management.
• Experience with DNS zone providers (Cloudflare, GoDaddy, Amazon Route 53).
• Track record running and optimizing campaigns at scale (10k–1M+ sends).
• Working knowledge of email compliance (GDPR, CAN-SPAM, CASL).
• Basic HTML/CSS for troubleshooting email templates.
• Nice to have: multi-channel experience (SMS, push, WhatsApp).
• Upper-Intermediate English, strong written and verbal communication.

• Proactive, independent, detail-oriented — comfortable owning the program end-to-end.

   

What We Offer

• Fully remote work with a flexible schedule.
• Startup culture: fast decisions, minimal bureaucracy.
• Competitive salary with growth opportunities.
• Paid vacation & sick leave.
• Bonuses for achieving company milestones.
• The chance to build Rentberry's outbound email program from scratch and see your work reach a global audience.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story began in 2016 with the first Data Science UA Conference in Kyiv, and since then we've built one of the largest AI communities in Europe.
 

About the role:
We are looking for an Operations & Lead Generation Coordinator to join a team building technology solutions for DefenseTech — a person who will become the hub of the company's operational coordination and help us build new partnerships and find new opportunities for growth.
We would be especially glad to welcome candidates who share the mission of developing Ukrainian DefenseTech and want to contribute to strengthening Ukraine's defense capabilities.
 

Responsibilities:
- coordinating the company's day-to-day operational processes;
- managing business communication with clients, partners, and contractors;
- organizing meetings and calls, preparing and following up on agreements;
- supporting lead generation processes and the search for new potential clients;
- helping organize conferences, exhibitions, business events, and other company activities;
- coordinating internal tasks between teams;
- tracking deadlines and following tasks through to full completion;
- quickly and effectively resolving operational issues.
 

Requirements:
- experience in operations, project coordination, executive support, or related roles;
- flawless spoken and written Ukrainian;
- high level of English (Upper-Intermediate / Advanced);
- strong communication skills;
- structured approach, responsibility, and attention to detail;
- ability to multitask;
- fast pace of work and a proactive approach.
 

Will be a plus:
- experience working in MilTech or DefenseTech;
- understanding of the defense industry's specifics;
- experience interacting with military personnel, defense companies, or government projects;
- veteran status or experience serving in Ukraine's Defense Forces;
- experience in business development or sales;
- experience in lead generation;
- experience in event management.
 

Important:
- location - Kyiv;
- readiness to work in a dynamic environment;
- willingness to take responsibility for results;
- high level of self-organization;
- openness, positivity, and a love of communication.

We are looking for a Senior PHP Symfony Developer

Information: 80% remote, 20% on-site in Düsseldorf

Responsibilities:
Design, development and implementation of modern web solutions using PHP, HTML5, CSS3 and JavaScript or jQuery
Development of web applications based on established frameworks, particularly Symfony 6+ or Laravel
Optimisation, maintenance and continuous development of existing web solutions
Participation in complex development projects, potentially including architectural or technical leadership responsibilities
Independent ownership of tasks and roles within a Scrum team
Technical support, onboarding and coaching of new or less experienced team members
Ensuring high code quality and structured, transparent version control using Git

Candidate profile:
A completed degree in computer science, business informatics or a comparable IT-related field, or extensive relevant professional experience: at least five years with completed vocational training or at least six years without vocational training
At least three years of professional experience in PHP application development
Senior-level experience in development with PHP and Symfony
At least two years of practical experience with Symfony, or comparable experience with Laravel
At least twelve months of web development experience within the past three years
At least twelve months of experience with Symfony or Laravel within the past three years
Demonstrable involvement in complex development projects, ideally with architectural, coaching or leadership responsibilities
Experience with agile development methodologies, particularly Scrum
Ideally, experience in a technical leadership or consulting role

Excellent written and spoken German skills at a minimum B2 level or native-level proficiency
Independent, structured and solution-oriented working style
Strong teamwork and communication skills

Mandatory technical skills:
PHP
Symfony 6 or higher
Git

Desirable skills:
Laravel
HTML5, CSS3, JavaScript and jQuery
Bootstrap
Composer
npm and automated build or deployment pipelines
Jira and Confluence
Synchronous and asynchronous encryption or processing mechanisms using Symfony

About the Product

We are building a US-based, data-driven product with a strong focus on scalability, performance, and cost efficiency.

Our mission is to design a modern data platform that transforms raw behavioral and monetization data into reliable, actionable business insights — in near real-time.

For us, data engineering is not just about moving data.
It’s about:

• Designing resilient architecture
• Optimizing for performance and cost
• Building reliable automation
• Ensuring architectural integrity at scale
•  

Role Overview

We are looking for a Senior Data Engineer who will take ownership of the data platform architecture and drive technical excellence across ingestion, modeling, and performance optimization.

This role requires deep expertise in SQL, Python, AWS infrastructure, and modern data stack principles. You will not only build pipelines — you will define standards, lead architectural decisions, and proactively improve system efficiency.

You will play a critical role in ensuring that data flows seamlessly from event streams to business-ready datasets while maintaining high performance, reliability, and cost control.

What Makes This Role Senior-Level

As a Senior Data Engineer, you will:

• Own architectural decisions for the data platform
• Identify scalability bottlenecks before they become incidents
• Optimize data infrastructure for performance and cost
• Lead technical code reviews and set engineering standards
• Mentor mid-level engineers
• Act as a technical partner to Product and Analytics stakeholders
• Balance real-time and batch processing strategies strategically

Technical Requirements

Must-Have

Expert-Level SQL

• Complex analytical queries and window functions
• Query optimization and execution plan analysis
• Identifying and eliminating performance bottlenecks
• Reducing query complexity and compute costs
• Designing partitioning and clustering strategies

Python

• Advanced data manipulation
• Building scalable ETL/ELT frameworks
• Writing production-grade data services
• Automation and monitoring scripts

AWS Core Infrastructure

• AWS Kinesis Firehose (near-real-time data streaming)
• Amazon S3 (data lake architecture and storage optimization)
• Designing reliable ingestion layers

Version Control

• Git (GitHub / GitLab)
• Branching strategies
• Leading technical code reviews
• Enforcing best practices in code quality

Nice-to-Have

Modern Data Stack

• dbt (modular SQL modeling, documentation, testing)
• Experience structuring layered data models (staging → intermediate → marts)

Data Warehousing

• Google BigQuery
• Slot management
• Cost-efficient querying
• Storage and compute optimization

Advanced Optimization Techniques

• Partitioning
• Clustering
• Bucketing
• Storage layout optimization

Integrations & Infrastructure

• Salesforce data integration
• Docker / ECS
• CI/CD for data workflows

AI / ML Exposure

• Supporting feature pipelines
• Understanding data requirements for ML systems

Key Responsibilities

Data Platform Architecture

• Design and maintain a scalable real-time and batch data platform
• Architect ingestion pipelines using AWS Kinesis and Python
• Ensure high availability and reliability of data flows

Real-Time Processing

• Enable near-real-time (seconds–minutes latency) data processing
• Build systems for operational alerting and anomaly detection
• Ensure early detection of monetization and traffic issues

Data Modeling

• Transform raw event data into business-ready datasets using dbt
• Design scalable, maintainable schemas aligned with product evolution

Performance & Cost Engineering

• Optimize SQL queries and storage structures
• Design cost-efficient partitioning strategies
• Monitor and reduce warehouse and infrastructure costs
• Balance real-time and batch processing appropriately

Engineering Excellence

• Lead and participate in code reviews
• Enforce high standards of performance, security, and maintainability
• Improve observability and monitoring across pipelines

Cross-Functional Collaboration

• Work closely with Data Analysts and Product Managers
• Translate business requirements into scalable technical solutions
• Clearly communicate trade-offs between speed, cost, and complexity

Type of Data We Process

• User behavior events (page views, clicks, searches, conversions)
• Ad & monetization events (impressions, clicks, CTR, attribution)
• System and integration logs (latency, errors, rate limits)

Why Real-Time Is Critical

• Detect broken ads or impression drops before revenue is lost
• Identify traffic anomalies or abuse early
• Enable same-day operational intervention
• Prevent negative user and advertiser experience

Near-real-time (seconds to minutes latency) is required for operational awareness.
Batch processing remains important for historical analysis and reporting — but not for incident detection.

Working Schedule

• Monday – Friday
• 16:00 – 00:00 Kyiv time
• Full alignment with US-based stakeholders

What We Value

• Strong ownership mindset
• Strategic thinking about architecture
• Focus on scalability, reliability, and cost efficiency
• Proactive problem-solving
• Clear communication with both technical and non-technical teams
• Ability to think beyond “just making it work”

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions.

We’re entering a new stage of marketing.

Rather than treating our website as a collection of pages, we’re transforming it into a scalable knowledge infrastructure that powers brand visibility, SEO, AI search, LLMs, sales enablement, and future AI agents.

We’re looking for an Content Marketing Lead (AI & SEO) who can lead this transformation.

This is a strategic, hands-on role where you’ll work directly with the CEO, Solution Architects, Delivery teams, and Business Development to capture the company’s expertise and transform it into a structured, scalable knowledge ecosystem.

If you’re excited about AI, content strategy, semantic search, and building systems rather than simply producing content, we’d love to meet you.

You’ll thrive in this role if you:

• Think like a business owner rather than a content marketer.
• Love extracting knowledge from experts and turning it into scalable business assets.
• Enjoy building systems, frameworks, and repeatable processes.
• Understand that modern content is built for both humans and AI.
• Know how SEO, semantic search, entity-based content, branding, and AI work together.
• Constantly experiment with AI tools, workflows, and autonomous agents.
• Are comfortable working directly with founders and engineering teams.

• Take ownership of ambiguous problems and build solutions from scratch.

   

What You’ll Build

During your first months, you’ll help transform Dinarys’ marketing foundation by building an AI-native knowledge ecosystem. You’ll work on structuring the company’s expertise into a scalable knowledge base, designing content architecture, and developing AI-powered workflows that make our expertise accessible to both people and AI systems.

This role goes far beyond creating content. You’ll help shape how our knowledge is organized, connected, and distributed to strengthen brand authority, improve discoverability across search engines and LLMs, and create a long-term foundation that supports marketing, sales, and future AI initiatives.

Responsibilities

• Own and continuously evolve Dinarys’ Brand & Knowledge Strategy.
• Design and build a scalable knowledge infrastructure across the website and marketing assets.
• Define information architecture, content hierarchy, entities, and relationships across industries, services, technologies, and customer challenges.
• Build an AI-ready content ecosystem that improves discoverability across Google, LLMs, AI assistants, and future agentic systems.
• Develop a semantic SEO and entity-first content strategy aligned with business objectives.
• Conduct interviews with customers, Solution Architects, Project Managers, engineers, and leadership to transform expertise into reusable knowledge assets.
• Create customer success stories, technical case studies, solution pages, whitepapers, executive content, landing pages, and industry resources.
• Lead thought leadership initiatives around the CEO and technical experts.
• Design and optimize AI-powered content workflows using modern AI tools and agents.
• Continuously experiment with new AI capabilities, content operations, and knowledge management approaches.
• Collaborate closely with Sales, Business Development, Delivery, and Leadership to ensure marketing supports commercial growth.
• Measure and optimize brand visibility, organic growth, AI discoverability, and content performance.

Requirements

• 5+ years in B2B Content Marketing, Brand Marketing, Content Strategy, Knowledge Management, or a related field.
• Experience developing and executing strategic content initiatives.
• Strong business storytelling and interviewing skills.
• Experience transforming technical expertise into business-focused content.
• Strong understanding of SEO, semantic search, content architecture, and information organization.
• Experience designing scalable content systems rather than only producing individual assets.
• Experience working with software development, SaaS, AI, technology, or ecommerce companies.
• Practical experience using AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) to improve marketing workflows.
• Ability to work independently, identify gaps, and drive initiatives with minimal supervision.
• Excellent English (Upper-Intermediate+).

Nice to Have

• Experience with Knowledge Management or Information Architecture.
• Understanding of entity-based AEO (Answer Engine Optimization), or LLM optimization.
• Experience with AI agents and agentic workflows.
• Experience with headless CMS platforms (Contentful, Storyblok, Sanity, etc.).
• Experience with Google Analytics 4, Search Console, Ahrefs, Semrush, or similar tools.
• Experience with ecommerce or digital commerce.
• Experience with PR, thought leadership, executive branding, or developer marketing.

What We Offer

• Fully remote work.
• Direct collaboration with company leadership.
• High ownership and freedom to shape Dinarys’ marketing direction.
• Opportunity to build a recognized brand in the international ecommerce technology market.
• A strategic role with significant influence on company growth, positioning, and business development.

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle Manual QA Engineer to join our team and help ensure the quality, reliability, and usability of our web and mobile applications.

Job Requirements

• 3+ years of experience in manual testing of web applications
• Strong understanding of software testing methodologies, SDLC, STLC, and Agile processes
• Experience creating and maintaining test documentation (test cases, checklists, test plans, bug reports)
• Experience with bug tracking and project management tools (Jira, Azure DevOps, or similar)
• Experience testing REST APIs using Postman, Swagger, or similar tools
• Solid understanding of client-server architecture and HTTP protocols
• Experience performing functional, regression, smoke, exploratory, and acceptance testing
• Understanding of UI/UX principles and experience validating interfaces using Figma
• Basic knowledge of HTML and CSS for troubleshooting UI issues
• Experience working with SQL for basic database validation
• Strong analytical and problem-solving skills
• Excellent communication skills in English
• Attention to detail and ownership mindset

Nice-to-Have:

• Experience testing mobile applications (iOS/Android)
• Basic knowledge of automation testing concepts or frameworks
• Experience with browser DevTools
• Familiarity with CI/CD processes
• Basic understanding of JavaScript
• Experience working with performance or security testing tools

Responsibilities:

• Perform manual testing of web and mobile applications
• Design, execute, and maintain test cases, checklists, and test scenarios
• Conduct functional, regression, smoke, exploratory, and acceptance testing
• Validate new features and ensure existing functionality remains stable
• Test REST APIs using Postman or similar tools
• Report, document, and track defects throughout their lifecycle
• Verify bug fixes and perform regression testing before releases
• Collaborate closely with developers, Project Managers, Business Analysts, and Designers
• Participate in sprint planning, backlog refinement, and QA estimations
• Maintain testing documentation and continuously improve QA processes
• Ensure delivered products meet quality standards and business requirements

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

About Digis

We are a European IT company with 200+ specialists delivering SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We focus on building strong, long-term teams and supporting continuous professional growth.

About the Project

A fast-growing SaaS company developing a Unified API platform that helps software vendors connect their products with financial and business tools.

The platform enables seamless data synchronization across accounting, finance, and other SaaS systems, helping businesses reduce data silos and expand their integration capabilities. You will contribute to the product’s development, architecture, and future technical direction.

Responsibilities

• Scale and optimize the case detection scanner to improve its performance and reliability.
• Decompose the existing API into multiple independent and scalable services.
• Set up a local development environment for emulating Google Pub/Sub and Cloud Run.
• Design and develop an integration connector for Sage.

Requirements

• 5+ years of professional experience with Python.
• 2+ years of hands-on experience with FastAPI or Flask.
• 1+ year of experience with SQL.
• Upper-Intermediate English or higher.

Why This Project Is Exciting

• Autonomy: A results-oriented environment built on trust.
• Product Impact: An opportunity to contribute to the product and its technical direction.
• Stable and Growing Product: Work on an established SaaS platform with international clients.
• Professional Growth: Gain experience with financial integrations and scalable API solutions.

We Offer

• 20 paid vacation days per year.
• 5 paid sick days per year with no medical documentation required.
• A personalized development plan supported by individual professional growth goals.
• Compensation for professional and subject-matter training.
• Necessary work equipment and workplace setup support, if needed.
• Assistance with selecting English courses and compensation for course fees.
• A horizontal organizational structure with open and transparent communication.
• Opportunities to switch between projects and technologies within the company.
• Accounting support.

• • Free access to corporate psychologist services.

WHO WE ARE

We are Edge Solutions Lab, a team of engineers with a strong background in product development of edge solutions and data platforms. Our legacy is grounded in the successful execution of the Hivecell product. We're committed to helping companies implement their product strategies and turn data into real, measurable value.

WHO WE ARE LOOKING FOR

We are seeking an experienced Data Scientist to join an exciting project for our client, Flow — a forward-thinking company transforming the way people live, work, and connect. You will work on real-world data challenges at the intersection of edge computing and data platforms, turning complex, large-scale data into models and insights that directly shape Flow's digital ecosystem and drive measurable product value.

KEY RESPONSIBILITIES

• Design, develop, and deploy machine learning models and statistical solutions that address real business problems
• Collaborate with product, engineering, and domain teams to translate requirements into data-driven solutions
• Conduct exploratory data analysis and feature engineering on large, complex datasets
• Build and maintain scalable data pipelines to support model training, evaluation, and inference
• Define and track model performance metrics; monitor models in production and drive continuous improvement
• Communicate findings, methodologies, and results clearly to both technical and non-technical stakeholders

• Contribute to the team's data science best practices, tooling, and documentation

   

WHAT YOU BRING ALONG

• 4+ years of professional experience as a Data Scientist or in a similar role
• Strong proficiency in Python and core data science libraries (pandas, NumPy, scikit-learn, etc.)
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques
• Experience with deep learning frameworks (TensorFlow or PyTorch) is expected at this level
• Hands-on experience deploying models to production environments (REST APIs, containerization, cloud platforms)
• Proficiency with SQL and working with relational or distributed data stores
• Familiarity with MLOps practices: experiment tracking, model versioning, monitoring (e.g., MLflow, Weights & Biases)
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Practical experience leveraging AI-powered tools (e.g., GitHub Copilot, ChatGPT, or similar) to enhance productivity and accelerate development workflows
• Working knowledge of: graph databases (Memgraph, Neo4j, or similar); edge inference runtimes (ONNX Runtime, llama.cpp, ExecuTorch); gradient boosting frameworks (XGBoost, LightGBM, CatBoost); time-series analysis on IoT or sensor data streams; Snowflake and dbt-based analytics pipelines
• English proficiency at B2 level or higher — able to communicate effectively in a professional setting, both written and spoken

WILL BE A PLUS

• Experience with edge computing or IoT data streams
• Knowledge of time-series analysis and anomaly detection
• Familiarity with data orchestration tools (Airflow, Prefect, or similar)
• Contributions to open-source projects or published research
• Experience in a product-focused or startup environment

SOFT SKILLS

• Strong analytical thinking with a pragmatic, solution-oriented mindset
• Ability to work independently and take ownership of tasks end-to-end
• Clear and concise communication — able to explain complex concepts to non-technical audiences
• Collaborative attitude and comfort working in cross-functional teams
• Intellectual curiosity and a continuous drive to learn and improve
• Comfort with ambiguity and the ability to prioritize effectively in a fast-paced environment