Jobs at Djinni

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started 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 Director to the client’s team.
The operations directorate will be built from scratch.
This is a senior build mandate. We are looking for an operator who has consolidated scattered operational functions into a managed directorate before, and who can do it in an organisation that has not previously had documented processes.
 

Responsibilities:
- Build and consolidate the service perimeter.
- Branch network: format, operating standards, cash discipline, limits, service speed.
- Cash logistics and transportation, resource availability across locations.
- Payment infrastructure: consolidation from business lines, legal and electronic rails.
- Customer support, customer experience and the contact centre.
- Define the target operating model for the directorate and build the management team under it.
- Create a single point of resolution for client requests, replacing the current sequential chain of approvals between units.
- Define service levels towards business lines and the commercial function: targets, measurement, impact on remuneration.
- Document and standardise core operational processes where none currently exist.
- Own cost per transaction and the operational cost base.
- Build the performance measurement system for service functions and the reporting behind it.
- Cascade group objectives into operational units.
- Arbitrate priorities between business lines and shared infrastructure.
- Operational readiness for entry into new markets.
- Automation of operational processes together with the product and technology functions.
- Build and develop the operations leadership bench.
 

Requirements:
Must have:
- 12+ years in operations, including 5+ years leading operations in an organisation of 500+ employees.
- Built an operations function from a low base — not inherited a mature one.
- Consolidated operational functions out of business units into a shared directorate, including managing the political resistance that comes with it.
- Managed a distributed network: branches, service points or regional operations.
- Implemented service levels and performance metrics for internal service functions.
- Documented and standardised processes in an environment where none existed.
- Owned operational cost and unit economics of transactions.
- Working English.
 

Nice to have:
- Financial services, banking, payments or a retail network with cash operations.
- Experience with cash handling, cash logistics and custody of valuables.
- Operational support of expansion into new jurisdictions.
- Process automation and systems implementation experience.
 

What the client offers:
- A directorate to design and build from the ground up.
- Direct reporting line to the CEO and a seat at the management committee.
- Full authority over the service perimeter and the mandate to consolidate it.
- A visible, measurable problem to solve with clear commercial impact.

We are looking for a Head of Engineering / CTO with strong engineering experience, product vision, and practical AI expertise to join our client’s team and lead the technical development of their in-production cybersecurity platform.

What Matters to Us

• Hands-on Technical Leadership. You can lead and mentor a team while staying close to the architecture and code. You know how to evolve a live, paying product without breaking production.
• Agentic Development Culture. You actively use and champion AI coding agents and automation workflows. You know how to equip a lean team with AI tools so we can ship at the speed of a much larger organization.
• Fast Product Experimentation. You connect technology to business metrics. You know how to quickly test hypotheses, roll out lean features to real users, measure impact, and iterate fast.
• Applied AI Engineering. You have practical experience building production features with LLMs, AI agents, and automation—balancing output quality, latency, token unit economics, and strict data privacy.
• System & Stack Proficiency. Solid background in JS/TS, Python, modern databases, cloud infrastructure, and enterprise integrations (M365, Google Workspace, SSO/SCIM). You know when to build custom solutions vs. use ready-made services or low-code.
• Security & Enterprise Trust. Selling a cybersecurity product requires a rock-solid platform. You understand multi-tenant data isolation, Zero-Trust principles, and compliance standards (SOC 2, ISO 27001, GDPR, EU AI Act).
• Broad Ownership. In a lean team, you wear multiple hats—comfortably switching between system architecture, DevOps/cloud costs, enterprise security calls with clients, and day-to-day delivery.

Your Focus

• Velocity & Agentic Workflows: Maintaining an AI-first engineering process that maximizes the speed and quality of our lean team.
• Product Experiments & AI Features: Building and testing new AI-driven simulations, coaching workflows, and risk analytics to drive revenue growth.
• Architecture & Reliability: Keeping our production platform secure, scalable, and cost-efficient as our customer base grows.
• Business & Enterprise Support: Partnering with founders on product strategy, roadmap, and technical due diligence with enterprise customers.

Nice to Have

• Experience in Cybersecurity, B2B SaaS, or EdTech / Security Awareness.
• Track record of scaling a post-revenue product with a small team.
• Experience passing SOC 2 / ISO 27001 audits or enterprise CISO security reviews.
• Your own founder or startup background.

What We Offer

• Mature Product, Zero Bureaucracy: Work on a live, profitable product with real customers and fast decision-making.
• Strategic Influence: Direct partnership with the founders and full ownership of the technical and AI vision.
• Remote & Flexible: Full-time or part-time/fractional engagement in a fully remote format.
• Individual Terms: We will tailor the collaboration format, compensation, and potential equity/bonuses to fit your goals. We are open to your proposals.

A large-scale consumer mobile application with millions of active users required a robust testing strategy to ensure stability, performance, and seamless user experience. Testing efforts focused on both iOS and Android platforms, covering functional validation, UI/UX consistency, geolocation features, and real-time interactions.

Responsibilities

• Contribute as a key member of a world-class Android Engineering and QA Automation team.
• Design, implement, and maintain automated test cases and frameworks in Kotlin, JUnit, Espresso.
• Own the quality lifecycle: identify issues, file and track bugs in Qase(or similar systems), and drive them to resolution.
• Collaborate closely with Android engineers to ensure application code is testable and automation-friendly.
• Build and maintain in-house tools for test parallelization, network mocking, and custom reporting.
• Perform peer code reviews, ensuring robust test coverage and reliable CI pipelines.
• Drive improvements to the CI/CD ecosystem, ensuring scalability, maintainability, and speed of test execution.
• Explore and integrate AI-assisted development approaches to enhance test generation, workflow optimization, and CI/CD practices.
• Actively participate in Agile ceremonies – daily standups, sprint planning, retrospectives, and showcases.

Skills Required

• 2+ years of experience as an SDET, QA Automation Engineer, or related role, with a strong focus on Android application testing.
• Proficient in Kotlin and the Android SDK, with strong debugging and troubleshooting skills.
• Hands-on experience with JUnit, Espresso and UI automation.
• Experience with dependency injection frameworks (Dagger/Hilt) and API testing using Retrofit.
• Familiarity with Jetpack libraries and modern Android development best practices.
• Strong experience with Git/GitHub, familiar with both Gitflow and trunk-based development.
• Knowledge of SOLID principles and ability to apply them in test framework design.
• Ability to apply or readiness to adopt AI-driven testing practices, including test generation and workflow automation.
• Strong English communication skills

About the Role & Team
We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes.
This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.


Candidate Profile: Qualifications & Experience
Must-Have Attributes
- Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery.
- SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
- Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
- Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
- Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability

Good-to-Have Skills
- Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
- AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.

Job Responsibilities

Key Responsibilities
1. Client Engagement & Strategic Architecture

- Identify AI Opportunities: Work directly with customer engineering, product, architecture, and executive teams to diagnose SDLC bottlenecks and map out high-value areas for AI-led acceleration.
- Design & Build Proofs of Concept: Act as a hands-on builder to design, develop, and deliver working proofs utilizing modern AI engineering tools, agentic workflows, and automation frameworks.
- Lead the Intent-Driven Transition: Guide clients away from rigid, manual sprint mechanics toward fluid, intent-driven delivery loops capable of autonomously generating plans, code, tests, documentation, and validation artifacts.

2. Value Measurement & Executive Alignment

- Quantify AI Impact: Define, measure, and report on hard engineering acceleration outcomes, including reduced cycle times, faster story-to-code conversion, improved automated testing, and accelerated code reviews.
- Technical & Executive Presentation: Communicate complex technical approaches, agentic architectures, proof results, and long-term adoption strategies to both engineering teams and C-level stakeholders.

We are looking for an experienced Founding Sales Development Representative (SDR) to build and scale an outbound sales function from the ground up.

Our client specializes in AI engineering, intelligent automation, AI agents, and custom AI solutions, helping businesses leverage AI to improve their operations and solve complex business challenges.

As the first dedicated outbound sales professional, you'll work directly with the founder and a highly skilled technical team to establish a predictable pipeline of qualified B2B opportunities across international markets, including the US, UK, and Europe.

This is more than a traditional SDR role. You'll have the freedom to build the outbound process, experiment with new approaches, select and implement tools, and use AI-powered automation to make prospecting more efficient.

We're looking for someone who combines strong outbound sales skills with a data-driven mindset, enjoys working independently, and knows how to turn a sales strategy into a repeatable process.

If you're proactive, analytical, and excited about the intersection of AI and B2B sales, this could be an excellent opportunity to make a meaningful impact.

Responsibilities

• Build and optimize the outbound sales process from scratch, creating repeatable workflows for prospecting, outreach, qualification, and follow-up.
• Plan and execute multichannel outbound campaigns through LinkedIn and cold email, including structured, multi-step outreach sequences.
• Research and identify ideal customer profiles, target industries, relevant companies, and key decision-makers.
• Build and manage qualified prospect lists using LinkedIn Sales Navigator, Apollo, Clay, and similar tools.
• Identify buying signals, including company funding, hiring activity, business expansion, entry into new markets, and product launches.
• Write compelling cold emails, LinkedIn messages, outreach sequences, and calls to action tailored to different audiences and business needs.
• Manage and maintain Pipedrive CRM, ensuring accurate pipeline stages, activity records, follow-ups, and next steps.
• Use AI tools to improve prospect research, personalize outreach, automate repetitive tasks, and increase sales productivity.
• Run A/B tests on messaging, offers, subject lines, and outreach strategies to improve response rates and conversion.
• Qualify prospects based on their business challenges, existing solutions, budget, decision-making process, and purchasing timeline.
• Book qualified meetings and provide the sales team with clear prospect briefs, including relevant research, identified pain points, and potential opportunities.
• Follow up consistently with prospects and re-engage leads whose purchasing decisions have been postponed.
• Track key sales metrics, monitor funnel performance, and provide regular reporting on outreach activity, conversion rates, and qualified opportunities.
• Continuously identify opportunities to improve sales processes, automation workflows, and campaign performance.

• Collaborate directly with the founder on go-to-market strategy, positioning, target markets, and pipeline development.

   

Requirements

• 3+ years of experience in B2B sales, sales development, business development, or outbound lead generation.
• Proven experience executing outbound sales campaigns through LinkedIn and cold email.
• Strong copywriting skills, with the ability to create personalized, persuasive outreach messages that generate responses.
• Hands-on experience with prospecting and sales tools such as LinkedIn Sales Navigator, Apollo, Clay, Pipedrive, Closely, or similar platforms.
• Experience managing multistep outreach sequences and maintaining an organized CRM pipeline.
• Understanding of sales funnel metrics, KPIs, conversion rates, and data-driven campaign optimization.
• Comfortable using AI tools such as ChatGPT, Claude, or similar solutions for prospect research, personalization, and productivity.
• Ability to independently research target markets, identify relevant prospects, and build qualified lead lists.
• Experience communicating with international B2B clients, ideally in the US, UK, and European markets.
• Upper-intermediate English or higher, with strong written communication skills and the ability to communicate confidently in a professional environment.
• A proactive, analytical, and results-oriented mindset, with the ability to take ownership of tasks and work independently.

• Willingness to experiment, test new approaches, and continuously improve outbound performance.

   

Nice to have

• Experience selling AI services, AI agents, intelligent automation, or custom AI engineering solutions.
• Familiarity with enterprise AI, document intelligence, Voice AI, or AI-powered business automation.
• Experience working with AI development companies, IT service providers, or B2B technology consultancies.
• Experience building an outbound sales function or significantly improving an existing prospecting process.
• Knowledge of AI-powered sales automation and workflow tools such as n8n, Make, or Zapier.
• Experience with advanced prospect research, buying-intent signals, and lead enrichment using Clay or similar platforms.
• Familiarity with email deliverability, outreach personalization, campaign segmentation, and sales experimentation.
• Experience developing outbound strategies for new markets or customer segments.

• Strong interest in AI technologies and their practical applications in business.

   

What You'll Get

• The opportunity to build from scratch. Design and establish the company's first structured outbound sales function without legacy processes or unnecessary bureaucracy.
• Direct collaboration with the founder. Contribute to go-to-market strategy, discuss ideas directly with decision-makers, and see the impact of your work.
• Freedom and autonomy. Take ownership of your campaigns, experiment with new approaches, and develop processes that work.
• AI-driven sales innovation. Explore how AI tools and automation can improve prospecting, personalization, and sales productivity.
• A skilled technical team. Work alongside experienced professionals developing AI engineering and automation solutions for business clients.
• International market exposure. Help develop business opportunities across the US, UK, and European markets.
• Performance-based earning potential. Compensation includes a base component and performance-based incentives tied to sales development results.

• Room for professional growth. Develop your expertise in outbound strategy, AI-powered sales automation, and go-to-market execution, with the potential to grow into a broader sales leadership role as the function expands.

   

Who Will Thrive in This Role

This role is ideal for an independent, data-driven outbound sales professional with a builder mentality.

You're comfortable taking an idea and turning it into an actionable process. You know how to research prospects, write outreach that resonates, analyze campaign performance, and improve results based on data rather than guesswork.

You don't need a fully developed sales playbook or constant supervision. Instead, you enjoy finding better ways to work, experimenting with new tools, and taking ownership of your results.

You're also curious about AI and eager to explore how emerging technologies can make sales processes smarter, more efficient, and more scalable.

You'll work closely with the founder, have the freedom to shape the outbound strategy, and play a key role in establishing the company's sales foundation.
 

If you're ready to build an outbound sales engine from the ground up and help bring AI-powered solutions to businesses worldwide, we'd love to hear from you!

Core Responsibilities
* Launching and managing advertising campaigns across multiple traffic sources (Meta/Facebook Ads, Google UAC, Unity Ads, Moloco, Taboola and other native ad networks).
* Daily campaign optimization to achieve target KPIs (ROI, CPA, EPC, uEPC, CR, LTV).
* Performance analysis and decision-making based on data.
* Creating testing plans and running A/B tests for creatives, audiences, placements and bidding strategies.
* Finding profitable combinations of GEO / Offer / Creative / Audience / Traffic Source.
* Scaling profitable campaigns while maintaining target profitability.
* Monitoring traffic quality and compliance with platform and partner requirements.
* Preparing daily/weekly reports.
* Following internal processes, security policies and confidentiality requirements.
⸻
Requirements
* 2+ years of experience as a Media Buyer / User Acquisition Manager.
* Experience with one or more traffic sources:
   * Meta (Facebook) Ads
   * Google UAC
   * Unity Ads
   * Moloco
   * Taboola
   * Other Native Ad Networks
* Strong understanding of performance marketing metrics:
   * ROI
   * CPA
   * EPC
   * uEPC
   * CTR
   * CR
   * CPC
   * CPI
   * LTV
* Experience launching and scaling mobile applications and link.
* Strong analytical skills and data-driven decision making.
* Experience with tracking platforms (Keitaro).
* Experience with A/B testing.
* Ability to evaluate and improve creative performance.
* Self-driven, responsible and result-oriented.
⸻
Nice to Have
* Experience in Dating vertical.
* Experience with Android/iOS apps.
* Experience with affiliate marketing.
* Experience working with white/black lists.
* Experience with automated bidding strategies.

AI Agents for Industrial Equipment Maintenance and Management. An AI-based agentic platform for field service engineers who perform maintenance, equipment tuning, and setup of industrial tools (semiconductor manufacturing). The solution covers predictive maintenance, inventory management automation, work schedule management, workforce allocation, and AI-assisted execution guidance — powered by multiple collaborating LLM agents (Copilot Agent, Maintenance Execution Agent, Maintenance Planner Agent, Workforce Allocation Agent).
The QA team operates in a high-velocity environment using cutting-edge AI-assisted development workflows (custom Antigravity workflows, slash-command automation, MCP-based database tooling, LLM evaluation frameworks). This role is designed for highly driven, ambitious professionals who thrive in fast-paced, technically complex environments.

We are looking for a sharp, detail-oriented Mid QA Engineer to join our team working on an Agentic AI Maintenance Platform. Your primary focus will be manual validation of features, thorough exploratory testing, and clear defect reporting — while building the foundation to contribute to automation over time.
This is a fast-paced, cutting-edge project where AI coding assistants are part of the daily toolkit. You'll be expected to learn fast, think critically, and take ownership of the quality of features you validate.




Job Description

• 4+ years of experience in Software Quality Assurance, with 2+ years testing complex backend systems, integration platforms or AI/ML-driven applications.
• Expertise in Python or a similar language for deep automation and scripting.
• Proficiency in API testing and validating data persistence/audit logs in a database environment.
• Proven ability to define and drive a QA strategy from scratch, turning high-level requirements (functional & non-functional) into clear, executable, and automated test plans.
• Prior experience setting up QA for a containerized (Docker/Kubernetes) environment.
• Conceptual understanding of LLM application development, agentic frameworks and principals of testing complex AI systems
• Experience working in industrial, manufacturing or operations technology domains
• Experience in operational liability, such as managing SLA and handling system downtimes.
• Written and spoken English language proficiency (equivalent of B2 or higher)

Job Responsibilities

• Manual test execution — validate "Ready for QA" tasks by executing test cases against the live QA environment, following established test steps and expected results.
• Test design — write clear, structured test cases with well-defined steps and expected results; identify edge cases and negative scenarios during test planning.
• UI testing — perform functional, responsiveness, and cross-browser testing of the Command Center web application (Dashboard, Planning Hub, Admin, Schedule, Inventory pages).
• Exploratory testing — go beyond scripted test cases to discover edge cases, usability issues, and integration defects across the multi-agent platform.
• Defect reporting — create detailed, reproducible bug reports in Jira with screenshots, steps-to-reproduce, expected vs. actual behavior, and severity classification.
• Database verification — use SQL queries to validate data persistence, verify backend state after UI actions, and support data integrity checks.
• Test case management — maintain and update the master test case CSV registry following the established schema; ensure proper categorization, Jira linking, and test result tracking.
• AI tool usage — use AI coding assistants to accelerate test case writing, defect triage, and exploratory analysis; gradually learn prompt engineering techniques relevant to the project.
• Requirements clarification — review incoming stories and requirements, identify gaps or ambiguities, and work with the team to clarify acceptance criteria before testing begins.
• Automation potential — identify manual tests suitable for automation and, over time, contribute basic pytest test implementations with guidance from senior QA.

DOIT Software is looking for an AI/ML Engineer to join the engineering team of a B2B SaaS product company and build machine learning and AI features into its platform.

About the Client

Our client is a SaaS product company working in analyst relations (AR) and B2B influencer relations. Its platform helps technology vendors and B2B companies manage, track, and measure their relationships with industry analysts who influence buyers in the market.

The product combines a specialized CRM with a searchable database of analysts and influencers, analytics and reporting dashboards (share of voice, sentiment, competitive intelligence), and an analyst-facing self-service portal.

About the Role

You will design Python-based models and services, integrate large language models (Anthropic’s Claude), and ship them alongside the client’s software engineering team.

The platform runs on Angular, C# (.NET), SQL Server and MongoDB. You will not be the primary developer on that stack, but you will work in it daily: pulling data from it, exposing your models to it through APIs, and pairing with engineers to get AI features into production.

You will report to the VP of Engineering. This is a full-time, fully remote position that requires at least 3-4 hours of daily overlap with US Eastern Time for standups and pairing.

What You’ll Do

Machine learning and data science

• Design, train, evaluate and deploy ML models for classification, clustering, recommendation, NLP and forecasting use cases.
• Explore, clean and engineer features from product data stored in SQL Server and MongoDB.
• Define metrics, run experiments and report results clearly to engineering and product stakeholders.
• Monitor models in production for drift, accuracy and cost, and retrain as needed.

AI and Claude integration

• Build LLM-powered features using the Claude API: prompt design, tool use, structured outputs and retrieval-augmented generation (RAG).
• Develop evaluation sets and automated tests to measure LLM output quality, accuracy and safety.
• Optimize LLM usage for latency and cost (prompt caching, model selection, batching).
• Use AI coding assistants such as Claude Code to speed up your own development work.

Working with the product engineering team

• Package models and AI logic as Python services and REST APIs that the C# (.NET) backend calls.
• Work with Angular developers to shape how AI features appear and behave in the UI.
• Write efficient SQL Server queries and MongoDB aggregations, and help design schemas for the data that ML features need.
• Take part in code reviews, sprint planning and standups, following the team’s Git, CI/CD and testing practices.
• Document models, data pipelines and APIs so other engineers can support them.

Required Qualifications

• 3–5 years of professional experience in data science, ML engineering or a similar role.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or a related field, or equivalent experience.
• Strong Python skills, including pandas, NumPy and scikit-learn.
• Hands-on experience with at least one deep learning framework (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals: supervised and unsupervised learning, feature engineering, model evaluation and avoiding overfitting.
• Practical experience building with LLM APIs, ideally Anthropic Claude: prompt engineering, tool use, RAG and output evaluation.
• Experience building and consuming REST APIs in Python (FastAPI or Flask).
• Working knowledge of SQL (SQL Server preferred) and a NoSQL document database (MongoDB preferred).
• Comfortable with Git, code reviews and Agile/Scrum workflows.
• Clear written and spoken English (Upper-Intermediate or higher) for daily collaboration with a distributed team.
• Proactive written communication: status updates, clear questions and documented decisions.
• Ownership of features from prototype to production, not just notebooks.
• Curiosity about new AI capabilities and the judgment to know when a simpler approach is better.

Nice to Have

• Experience with vector databases or embedding search (e.g., MongoDB Atlas Vector Search, pgvector, Pinecone).
• Familiarity with agent frameworks, the Model Context Protocol (MCP) or the Claude Agent SDK.
• Reading-level familiarity with C# / .NET and Angular / TypeScript, enough to trace how your services are called.
• MLOps experience: Docker, CI/CD pipelines, model versioning (MLflow or similar) and cloud deployment (Azure or AWS).
• Prior work on a multi-tenant B2B SaaS product.
• NLP work on unstructured business text such as documents, emails or research content.
• Understanding of data privacy and security practices for customer data used in AI features.

Recruitment Process

1. Pre-screen call with a Recruitment Manager.
2. Technical interview with DOIT Software.
3. Online call with the client.

We are looking for a skilled IT recruiter to join our team at DOIT Software.

Role Mission

Turn technical hiring requests into strong candidate pipelines and successful hires using an AI-enabled recruitment process.

You’ll own the recruitment flow from vacancy clarification and search setup to candidate evaluation, interviews, client process, and hire.

Your job is not just to run the process, but to understand where it is weak, improve sourcing and communication quality, and automate repetitive work wherever possible.

Key Responsibilities

• Understand technical vacancies, clarify missing requirements, and turn them into clear must-haves and search criteria.
• Launch and manage sourcing across LinkedIn, job boards, partners, and AI-powered sourcing workflows.
• Monitor candidate quality and continuously adjust searches, filters, and sourcing logic when results are weak.
• Manage AI-assisted outreach and qualification, reviewing and improving messages and communication where needed.
• Review candidates, conduct pre-screen interviews in English, prepare structured assessments, and move strong candidates through the hiring process.
• Own candidate communication through client interviews, offer, negotiation, and hiring decision.
• Track the recruitment funnel and use the data to identify bottlenecks and improve results.
• Improve AI Skills, prompts, workflows, and recruitment automations independently or together with the Automation team.

Must-have

1. 2+ years of hands-on technical recruitment experience, including hiring software developers or other technical specialists.
2. Strong sourcing skills — LinkedIn, Boolean/X-Ray Search, talent mapping, and ability to build and adjust search logic.
3. Strong candidate evaluation skills — CV screening, pre-screen interviews, and ability to assess candidates against clear must-haves.
4. Fluent English, including conducting pre-screen interviews independently.
5. Practical use of AI in recruitment for sourcing, research, outreach, candidate analysis, interview preparation, or similar workflows.
6. Strong ownership and ability to manage several vacancies independently, prioritizing work based on hiring needs and pipeline quality.

Nice-to-have

• Experience working with AI-powered or automated recruitment / sourcing systems.
• Ability to create, configure, or improve AI Skills, prompts, agents, or recruitment workflows.
• Experience with LinkedIn outreach automation tools such as Grinfi or similar platforms.
• Experience using recruitment funnel data to identify sourcing, outreach, or conversion bottlenecks.
• Experience improving recruitment processes or reducing manual work through automation.

We are looking for a Sales Researcher to join our Sales team and help us find and qualify the right companies and contacts for our outbound activities. You’ll support our Lead Generation Managers with research and data preparation, helping the team focus on lead engagement and expand into new lead generation channels.

Requirements:
 

• Research and identify companies that match defined ICP and targeting criteria.
• Find relevant decision-makers and stakeholders within target accounts based on role, seniority, department, geography and other criteria.
• Build and maintain structured lead and account lists for outbound campaigns.
• Research companies using LinkedIn, Sales Navigator, Apollo, Crunchbase, company websites, industry directories, conference websites and other open sources.
• Verify job titles, current employment, LinkedIn profiles, company information and contact details before adding leads to the database.
• Research relevant industry events, conferences, communities, directories, and other potential lead generation channels.
• Keep databases clean and accurate: identify duplicates, outdated contacts and incomplete records.
• Support Sales and Lead Generation teams with additional research for specific accounts, industries, markets or campaigns.
• Identify useful signals about target companies, such as hiring activity, funding, expansion, new products or other relevant business changes.
• Work with Google Sheets and internal tools to organize, structure and maintain research data.
• Follow defined research processes and continuously improve the quality and accuracy of collected data.

Key Responsibilities:
 

• Basic understanding of B2B sales, lead generation and Ideal Customer Profile (ICP), or strong motivation to learn.
• Strong research skills and ability to find and combine information from multiple online sources.
• High attention to detail and ability to work accurately with large amounts of data.
• Confident use of LinkedIn and Google Search.
• Basic experience with LinkedIn Sales Navigator, Apollo, Lusha, Clay or similar tools or willingness to learn them.
• Basic understanding of Boolean Search; familiarity with OSINT techniques would be a plus.
• Confident Google Sheets skills: filters, sorting, basic formulas and data structuring.
• English at B1, sufficient to research international companies, websites and LinkedIn profiles.
• Curiosity and willingness to learn about different industries, business models and technologies.

Will be a plus:
 

• Previous experience in lead generation, sales research, data research or a similar role.
• Experience with CRM systems.
• Basic understanding of the IT outsourcing/software development industry.
• Experience researching US, UK or European companies.
• Experience using AI tools such as ChatGPT or Claude for research and data enrichment.
   

We offer: 
 

• Flexible work format - remote, 8-hour working day without time trackers;
• Competitive salary;
• Tight-knit and friendly team;
• Personalized career growth;
• Up to 50% coverage of the cost of professional courses;
• Vacation time, sick-leaves, national holidays ;
• Competitive bonuses for a personal recommendation of new employees;
• Professional development tools (mentorship program, tech talks and workshops);
• English classes with a teacher;
• Corporate events and team buildings.

If you have what we are looking for and would love to join our Darly team, we want to hear from you!
 

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Sales Manager to join our team!

Requirements:

- Strong understanding of sales techniques (SPIN, RAIN, etc);
- Strong understanding of performance marketing, including paid traffic, CPA/RevShare models, funnels, KPIs, LTV, and ROI;
- High level of proficiency in working with client selection criteria;
- Knowing how to analyze potential customer and being able to change a sales strategy;
- Ability to conduct consultative sales calls, present services, and clearly communicate value propositions;
- Confident spoken and written English;
- Strong discipline in CRM usage, pipeline management, and sales forecasting;
- Experience working with different types of clients, from small businesses to large iGaming operators;
- Strong understanding and relevant experience with attending conferences.

Will be plus:

- Existing network of contacts within the iGaming industry;
- Experience selling performance-based models (CPA, RevShare, Hybrid);
- Participation in iGaming conferences (SiGMA, iGB, SBC, etc.);
- B2B sales experience in iGaming, digital marketing, media buying, or affiliate marketing.

Soft Skills:

- Ability to quickly navigate complex and non-standard situations;
- Strong relationship-building and client management skills;
- Ability to work effectively in a fast-paced, high-communication environment;
- Strategic thinking combined with a hands-on approach.

Responsibilities:

- Prospect and acquire new iGaming clients (brands and operators);
- Conduct initial discovery calls and qualify leads;
- Present the agency, its services, and case studies;
- Develop tailored marketing strategies based on client goals, channels, business models, and budgets;
- Close deals, launch partnerships, and drive upsell opportunities;
- Coordinate with media buying, affiliate, and operations teams;
- Manage CRM, track deal stages, and maintain accurate sales forecasts;
- Participate in industry conferences and work with inbound and offline leads.

What are the conditions and bonuses?

☘️An exciting and challenging job in a fast-growing product company, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and other;

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Warsaw, Limassol work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;

🧑🏻‍💻Laptop & all necessary equipment for work according to the ecosystem standards;

🏖Paid vacations, personal events days, days off;

🫖Paid sick leave;

👨🏻‍⚕️Medical insurance;

💵Referral program enjoy cooperation with your colleagues and get the bonus;

📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🦄Multiple internal activities: online platform for employees with quests, gamification and presents for collecting bonuses, RedCore talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays;

🎳Company events, team buildings.

Tasks: 
Own the full lifecycle of storage infrastructure — deployment, upgrades, 
scaling, capacity planning and incident response 
Skills: 
Openstack experience 
Rook and Ceph experience 
Storage: Hands-on experience operating Storages like Netapp, Pure, Ceph 
(anyone) 
Kuberentes experience  
HW knowledge, hdd, nvme host experience 
Real engineering code experience (Linux Kernel, Mysql, Postgresql, 
filesystems, Ceph) at least one of them 
They need to know how malloc works, how to write code with less lines, 
dynamic memory management and data structures

Working hours according to the Canadian Timezone, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a hands-on Observability / SRE Engineer with strong AWS infrastructure and networking skills to lead a focused, time-boxed migration of the monitoring setup for one application from New Relic to Grafana. You will be embedded in the client's engineering team, while owning the migration end to end and working independently as the sole engineer on this scope.

This is a short-term engagement with a clear deliverable. We value someone who can ramp up quickly, use modern AI-assisted tooling to move faster, communicate proactively with the team, and leave behind a clean, well-documented monitoring setup.

Responsibilities

• Assess the existing New Relic monitoring setup for the in-scope application, including dashboards, alerts, SLIs/SLOs, synthetic checks, and log and trace usage.
• Define the migration approach and map New Relic constructs to their Grafana-stack equivalents (Grafana, Prometheus, Loki, Tempo or similar).
• Rebuild dashboards and alert rules in Grafana, validating that coverage and alert quality match or improve on the current state.
  Instrument and configure the application and its AWS infrastructure (such as compute, containers, load balancers, and managed services) to send metrics, logs, and traces to the new platform, using OpenTelemetry where applicable.
• Set up and validate secure network connectivity between AWS workloads and the Grafana stack, including VPC routing, security groups, VPC endpoints or PrivateLink, and DNS, and troubleshoot connectivity and data-flow issues.
• Run the old and new monitoring in parallel, verify data accuracy, and manage a safe cutover with minimal risk to production visibility; integrate and tune alerting with the team's incident and notification channels.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed, for example to translate queries, generate dashboards and configuration as code, and draft documentation, while reviewing and validating all output.
• Document the new setup, hand over knowledge to the team with runbooks, and keep stakeholders informed with regular progress updates and early risk flags.

Requirements

• 5+ years of experience in DevOps, SRE, or observability engineering, ideally in a high-traffic, cloud-based production environment.
• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration.
• Practical experience with New Relic (APM, dashboards, NRQL, alert policies) and a clear understanding of how to translate it to other tools.
• Experience with Prometheus (PromQL), log and trace tooling such as Loki, Tempo, or the ELK stack, and OpenTelemetry instrumentation.
• Solid hands-on experience with AWS infrastructure, such as EC2, EKS/ECS, IAM, CloudWatch, and S3, and with Infrastructure as Code (e.g., Terraform).
• Strong understanding of AWS networking, including VPC design, subnets, routing, security groups, load balancers, VPC endpoints/PrivateLink, and DNS (Route 53).
• Practical experience using AI-assisted development tools, such as Codex, in day-to-day engineering work.
• Proven ability to work independently and deliver within a tight timeline, with availability to work full-time within Canadian time zone hours and start on short notice.
• Excellent verbal and written English skills.

Nice to have

• Experience with Grafana Cloud or Grafana Mimir.
• Previous monitoring or observability tool migration projects.
• Experience defining SLIs/SLOs and error budgets.
• AWS certification (e.g., Solutions Architect, DevOps Engineer, or Advanced Networking)

NB! Working hours according to the Canadian Timezone, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

Working hours according to the Canadian Timezone, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a hands-on Observability / SRE Engineer with strong AWS infrastructure and networking skills to lead a focused, time-boxed migration of the monitoring setup for one application from New Relic to Grafana. You will be embedded in the client's engineering team, while owning the migration end to end and working independently as the sole engineer on this scope.

This is a short-term engagement with a clear deliverable. We value someone who can ramp up quickly, use modern AI-assisted tooling to move faster, communicate proactively with the team, and leave behind a clean, well-documented monitoring setup.

Responsibilities

• Assess the existing New Relic monitoring setup for the in-scope application, including dashboards, alerts, SLIs/SLOs, synthetic checks, and log and trace usage.
• Define the migration approach and map New Relic constructs to their Grafana-stack equivalents (Grafana, Prometheus, Loki, Tempo or similar).
• Rebuild dashboards and alert rules in Grafana, validating that coverage and alert quality match or improve on the current state.
  Instrument and configure the application and its AWS infrastructure (such as compute, containers, load balancers, and managed services) to send metrics, logs, and traces to the new platform, using OpenTelemetry where applicable.
• Set up and validate secure network connectivity between AWS workloads and the Grafana stack, including VPC routing, security groups, VPC endpoints or PrivateLink, and DNS, and troubleshoot connectivity and data-flow issues.
• Run the old and new monitoring in parallel, verify data accuracy, and manage a safe cutover with minimal risk to production visibility; integrate and tune alerting with the team's incident and notification channels.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed, for example to translate queries, generate dashboards and configuration as code, and draft documentation, while reviewing and validating all output.
• Document the new setup, hand over knowledge to the team with runbooks, and keep stakeholders informed with regular progress updates and early risk flags.

Requirements

• 5+ years of experience in DevOps, SRE, or observability engineering, ideally in a high-traffic, cloud-based production environment.
• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration.
• Practical experience with New Relic (APM, dashboards, NRQL, alert policies) and a clear understanding of how to translate it to other tools.
• Experience with Prometheus (PromQL), log and trace tooling such as Loki, Tempo, or the ELK stack, and OpenTelemetry instrumentation.
• Solid hands-on experience with AWS infrastructure, such as EC2, EKS/ECS, IAM, CloudWatch, and S3, and with Infrastructure as Code (e.g., Terraform).
• Strong understanding of AWS networking, including VPC design, subnets, routing, security groups, load balancers, VPC endpoints/PrivateLink, and DNS (Route 53).
• Practical experience using AI-assisted development tools, such as Codex, in day-to-day engineering work.
• Proven ability to work independently and deliver within a tight timeline, with availability to work full-time within Canadian time zone hours and start on short notice.
• Excellent verbal and written English skills.

Nice to have

• Experience with Grafana Cloud or Grafana Mimir.
• Previous monitoring or observability tool migration projects.
• Experience defining SLIs/SLOs and error budgets.
• AWS certification (e.g., Solutions Architect, DevOps Engineer, or Advanced Networking)

NB! Working hours according to the Canadian Timezone, Monday to Friday - availability during these hours is mandatory. 

NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.

Project Description:

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities:

- Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
- Build and enhance data processing pipelines using Java and Apache Spark
- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
- Translate business and regulatory requirements into robust technical solutions
- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
- Investigate and resolve data and application issues in development, test, and production environments
- Improve application performance, scalability, and reliability for high-volume data processing workloads
- Contribute to the design and implementation of reusable components and engineering best practices
- Participate in code reviews, testing, and release activities to ensure high-quality deliverables
- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Mandatory Skills Description:

- 6+ years of commercial experience with Java
+ 2+ years of experience with Spark
- Experience in designing and developing scalable, high-performance backend applications
- Good knowledge of SQL and working with large datasets from multiple data sources
- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice-to-Have Skills Description:

- Experience in financial services, investment banking, or regulatory reporting projects
- Familiarity with data quality, reconciliation, and control frameworks
- Experience working with large-scale enterprise data platforms
- Knowledge of cloud environments and modern data platform architectures
- Understanding of CI/CD practices and automated deployment pipelines
- Experience working in Agile / Scrum teams within a distributed global setup