Jobs at Djinni

About the Role

Deep Knowledge Group is seeking a Head of Scientific Publications to build and operate a repeatable system for producing high-quality scientific and strategic publications across DKG's research agenda.

This is not simply a scientific-writing or copy-editing position.

The successful candidate will manage the full publication lifecycle: selecting and structuring topics, coordinating evidence and literature, identifying and engaging external co-authors, managing multi-author inputs, maintaining scientific and reference discipline, preparing manuscripts for submission, coordinating peer review and ensuring that each publication moves from initial concept to completed external output.

DKG works across areas including Longevity, Life Sciences, Space Medicine, human performance, AI and data-driven science. The role therefore requires strong scientific literacy, but not necessarily narrow specialization in one field.
 

Core Mandate

Build a functioning Scientific Publication Engine that can repeatedly transform DKG research, datasets and scientific initiatives into credible peer-reviewed publications and related high-quality outputs.
 

Key Responsibilities

• Maintain a prioritized pipeline and calendar of scientific papers and publication opportunities.
• Convert approved research themes into clear article theses, outlines, evidence requirements, figure plans and publication roadmaps.
• Identify suitable journals and publication routes based on scope, scientific relevance, audience and credibility.
• Build and manage target lists of external scientists and subject-matter experts for multi-author papers.
• Prepare concise co-author briefing materials and personalized outreach.
• Coordinate contributions from internal and external authors without allowing the manuscript to fragment into inconsistent sections.
• Manage literature review, references, figures, tables, scientific claims and supporting source materials.
• Coordinate manuscript drafting, revision, author approval and final consistency checks.
• Manage author affiliations, contribution statements, conflicts of interest, ethics documentation and other submission requirements.
• Prepare journal submissions, cover letters and supporting documentation.
• Coordinate responses to reviewers and revision rounds.
• Maintain rigorous authorship and publication-integrity standards.
• Identify selected publication topics that can also support longer strategic or stakeholder-facing reports while clearly separating scientific content from commercial messaging.
• Build reusable templates, trackers, checklists and workflows so publication management becomes a repeatable institutional capability.
   

Candidate Profile

We are looking for somebody who combines the discipline of a scientific editor with the execution ability of a strong project manager.

The candidate does not need to be the world's leading technical specialist in every subject. They do need to understand sophisticated scientific material sufficiently well to identify weak claims, ask intelligent questions, coordinate experts and know when specialist review is required.
 

Requirements

• 4+ years of experience in scientific publishing, academic editorial work, research programme coordination, scientific communications or comparable work.
• Direct experience with academic manuscripts and journal submission processes.
• Demonstrated experience coordinating multiple authors or contributors.
• Strong understanding of scientific referencing and evidence standards.
• Ability to read biomedical, Life Sciences or other technical literature critically.
• Excellent English writing and editing.
• Strong project-management skills and ability to maintain multiple publication streams simultaneously.
• Strong source-management and version-control discipline.
• Ability to communicate professionally with senior scientists and external experts.
• Practical use of AI for literature organization, source mapping, editorial workflow or drafting support, combined with rigorous human verification.
   

Strong Advantages

• Experience with Longevity, Space Medicine, radiation biology, human performance, preventive medicine, AI in science or related areas.
• Experience recruiting external co-authors.
• Experience managing revisions after peer review.
• Experience with grants, institutional research language or policy-facing scientific materials.
• Existing scientific or academic network.
   

First 90-Day Outcomes

The person should establish a live publication pipeline, functioning author/co-author tracking, repeatable submission and quality-control workflows, and materially advance priority manuscripts toward submission.

Success is measured by completed scientific outputs and functioning publication infrastructure, not by the volume of internal documentation produced.

We’re looking for an experienced QA Engineer to join our product team.

Requirements:

• Strong experience testing web applications
• Experience with functional, regression, integration, and API testing
• Solid understanding of REST APIs and client-server architecture
• Experience with tools such as Postman, Swagger, or similar
• Ability to create clear test cases, checklists, and bug reports
• Good understanding of browser DevTools and debugging
• Experience working closely with developers and product teams
• FinTech experience is required
• Experience with trading, brokerage, payments, banking, or other financial products is a strong plus

Responsibilities:

• Test new features and product releases
• Perform regression and exploratory testing
• Test APIs and backend integrations
• Identify, document, and track bugs
• Validate fixes and ensure release quality
• Help improve QA processes and overall product quality

About the Role

Deep Knowledge Group (www.dkv.global) is seeking a Social Media & Demand Generation Specialist to build high-quality visibility and qualified engagement around DKG, its leadership and its portfolio of projects.

The role is LinkedIn-first, reflecting the concentration of DKG's institutional, technology, investment and partnership audiences there, but may expand into X and other channels where they produce real value.

This is not a conventional social-media/community-management position.

You will work with complex topics spanning AI, DeepTech, Longevity, HealthTech, FinTech, investment analytics and advanced technologies. The objective is not simply to increase posting frequency. It is to make DKG consistently visible to the right people, create intelligent engagement around its work and convert that attention into relevant traffic, relationships, leads, event participation, partnership interest and recruitment interest.
 

Key Responsibilities

• Develop and execute a LinkedIn-first social strategy aligned with DKG's commercial and strategic priorities.
• Manage content and targeted engagement for DKG corporate channels and selected senior-management profiles.
• Write original posts, commentary, reposts and executive thought-leadership content in a credible and appropriate voice.
• Translate sophisticated technical, scientific, analytical and commercial materials into concise social content without distorting or oversimplifying them.
• Research relevant conversations, companies, decision-makers, investors, institutions and experts.
• Build DKG management networks through selective, high-value connection and engagement strategies.
• Engage intelligently with relevant external posts and conversations to increase visibility among target audiences.
• Support major DKG launches, reports, indices, events, product releases, recruitment campaigns and partnership initiatives.
• Create campaign-specific social content around commercial products and priority initiatives.
• Work with MarTech and Business Development to connect social engagement with landing pages, lead capture and CRM.
• Track which content and engagements produce meaningful traffic, conversations and leads.
• Test formats, messages, hooks and posting patterns and optimize based on results.
• Maintain editorial and campaign calendars without allowing process to slow reactive opportunities.
• Use AI tools to accelerate research, drafting, repurposing and analysis while preserving factual accuracy and authentic executive voice.
• Maintain high standards of accuracy when communicating scientific, financial or technical subjects.
   

What We Are Looking For

The strongest candidate combines excellent English writing with commercial instinct.

They should be capable of reading a technical DKG document, understanding why it matters, identifying which part is interesting to a specific external audience and turning that into a concise piece of content that somebody intelligent would actually want to read.

We do not want social activity for its own sake.

A smaller number of interactions with the right investors, executives, institutional decision-makers, scientists, entrepreneurs or partners is more valuable than large volumes of low-quality engagement.
 

Requirements

• 3+ years in B2B social media, content marketing, demand generation, executive communications or related work.
• Excellent English copywriting and editing skills.
• Demonstrated experience growing LinkedIn visibility and engagement for companies or senior executives.
• Strong understanding of LinkedIn distribution, content formats and professional audience behaviour.
• Strong research skills and ability to rapidly understand unfamiliar technical subjects.
• Ability to write naturally in several different executive or corporate voices.
• Ability to distinguish meaningful engagement from vanity metrics.
• Experience using social analytics and performance data.
• Ability to work independently and maintain a demanding publishing cadence.
• Practical familiarity with AI-assisted research and content workflows.
   

Strong Advantages

• Experience with technology, AI, finance, investment, healthcare, Longevity or DeepTech.
• Experience with executive ghostwriting.
• Experience generating B2B leads from content and social engagement.
• Experience supporting product launches, reports, conferences or high-profile announcements.
• Familiarity with X and other specialist technology/investment communities.
• Experience coordinating social campaigns with CRM, email and landing-page funnels.
   

Success Metrics

Success will be judged primarily on:

• growth of the relevant audience rather than follower count alone;
• engagement from target organizations and decision-makers;
• quality and consistency of DKG's executive and corporate voice;
• qualified traffic generated to DKG platforms;
• leads, conversations, registrations and introductions attributable to social activity;
• performance of priority launches and campaigns;
• and the ability to make DKG's complex portfolio intelligible and compelling without reducing it to generic promotional language.

We’re looking for a strong Lead Full-Stack Developer to join our team.

Requirements:

• Strong experience with React / Next.js
• Strong Python / FastAPI backend experience
• Experience leading technical decisions and code reviews
• Solid understanding of scalable production systems
• FinTech experience is required
• Experience with trading, brokerage, payments, banking, or other financial products is a strong plus
  Please note that completing a test assignment is a mandatory part of the hiring process.
• If you’ve read this far, please start your cover letter with the word “apple.”

About the Role

Deep Knowledge Group is (www.dkv.global) seeking a Head of MarTech & Marketing to build a data-driven commercial marketing engine across a complex portfolio of technology, analytics, Longevity and DeepTech initiatives.

This is not primarily a brand-management or corporate-communications position.

DKG already produces large volumes of intellectual property, analytical content, databases, dashboards, reports, indices, websites, product materials and strategic initiatives. The challenge is to turn those assets into systematic visibility, qualified audiences, product demand, commercial leads and measurable conversion.

The successful candidate must therefore combine marketing strategy, marketing technology, demand generation, digital infrastructure, analytics and hands-on execution.
 

The Core Problem to Solve

DKG operates across many specialized projects and audiences.

A campaign may be targeting institutional buyers for an investment-intelligence platform, partners for a UAE ecosystem product, users for Longevity Club, a financial partner for the Longevity Banking Card, decision-makers for a white-label analytics solution, or stakeholders around a major index or industry launch.

The Head of MarTech must create an infrastructure that makes these campaigns repeatable rather than reinvented each time.

The ideal operating model is:

Audience & data → segmentation → message → content/assets → distribution → landing page → CRM → nurture → qualified lead → commercial conversion → measurement → optimization

Key Responsibilities

MarTech Infrastructure

• Design and operate DKG's end-to-end marketing technology stack.
• Own CRM architecture from a marketing and lead-generation perspective.
• Build reliable lead capture from websites, landing pages, forms, events and campaigns.
• Improve contact segmentation, enrichment, tagging and audience profiling.
• Implement email automation, nurture sequences and lifecycle workflows.
• Build attribution and analytics sufficient to understand what actually creates valuable leads.
• Integrate websites, CRM, email systems, analytics, social channels and campaign tools.
• Work with IT on technical implementation without turning marketing into an IT-dependent process.
• Use AI and automation aggressively where they materially improve speed, personalization and quality.
   

Demand Generation

• Develop product-specific demand-generation strategies across DKG's commercial portfolio.
• Convert existing databases and audiences into intelligently segmented outreach rather than indiscriminate mass messaging.
• Design multi-channel campaigns spanning email, social, landing pages, content, events, partnerships, SEO and selective paid promotion.
• Develop acquisition and nurture funnels appropriate to very different audiences, from enterprise executives to investors, partners and individual longevity consumers.
• Continuously test messaging, offers, CTAs, pages and distribution channels.
   

Product Marketing

• Work with Product Development and Business Development to understand each priority product deeply enough to position it credibly.
• Convert sophisticated technical and analytical products into clear value propositions.
• Develop messaging frameworks, customer personas, use cases and commercial narratives.
• Ensure sales materials, websites, landing pages, decks and campaigns tell the same story.
• Support commercial launches for new products and major DKG initiatives.
• Feed campaign and customer-response data back into product and commercial strategy.
   

Marketing Operations

• Build a reusable launch and campaign system for DKG.
• Manage the Social Media / Demand Generation Specialist and coordinate relevant designers, content creators and contractors.
• Maintain marketing dashboards and concise performance reporting.
• Establish practical KPIs tied to business outcomes rather than vanity metrics.
   

Current Product Environment

The role will support a portfolio that can include:

• commercial analytics and investment-intelligence platforms;
• UAE/GCC and other regional ecosystem platforms;
• Longevity Club and associated membership/product infrastructure;
• Longevity Banking Card and marketplace products;
• HealthTech and diagnostics products;
• LBams and API-AMS;
• Dubai Longevity Constellation and related partner/replication propositions;
• white-label analytics and intelligence;
• DKG indices, reports and flagship launches;
• strategic partnerships, recruitment and other high-value Group campaigns.

The portfolio is broad by design. The successful candidate must enjoy learning difficult subject matter and turning it into understandable, attractive and actionable communication.
 

Requirements

• 6+ years in MarTech, growth marketing, demand generation, digital marketing or related roles.
• Demonstrated experience designing and operating end-to-end marketing funnels.
• Strong CRM and marketing-automation experience.
• Experience with email marketing, audience segmentation, lifecycle/nurture systems and database-driven campaigns.
• Strong understanding of landing-page optimization, web conversion and digital analytics.
• Proven history of making marketing decisions using data and experiments.
• Experience supporting B2B or technology products with complex value propositions.
• Ability to work directly with Product and Business Development.
• Strong project-management and cross-functional coordination ability.
• Advanced practical use of AI for content, analysis, personalization, research and workflow automation.
• Excellent written and spoken English.
• Ability to work independently in a fast-moving environment with incomplete information.
   

Strong Advantages

• Experience in AI, FinTech, HealthTech, Longevity, DeepTech, SaaS, data or analytics businesses.
• Experience marketing both B2B and B2C products.
• Experience with international campaigns and multiple geographies.
• Experience building or restructuring a MarTech stack.
• Strong understanding of SEO, paid acquisition, retargeting and attribution.
• Experience with product launches, research-driven marketing or executive thought leadership.
• Hands-on experience with HubSpot or comparable CRM/automation platforms.
   

What Success Looks Like

The objective is to move DKG from project-by-project marketing toward a repeatable demand-generation and commercialization engine.

Marketing should become measurable in terms of:

• qualified audience growth;
• relevant leads generated;
• cost and efficiency of acquisition;
• landing-page and funnel conversion;
• meetings or opportunities generated for BD;
• partner/customer pipeline influenced;
• product adoption;
• and ultimately commercial conversion.

About the Role

Deep Knowledge Group (https://www.dkv.global/) is seeking a senior specialist in graph intelligence, knowledge graphs and advanced network visualization to help turn large entity datasets into usable relationship intelligence.

Across DKG's analytical platforms, the important question is often not merely “what entities exist?” but:

How are they connected? Which relationships matter? Where are the clusters, central actors, hidden dependencies, emerging ecosystems and strategic gaps?

DKG maintains and develops complex datasets covering companies, investors, technologies, industries, experts, institutions, partnerships, geographical ecosystems and other interconnected entities. The objective of this role is to transform these relationships into scalable analytical systems and interactive intelligence products.
 

Key Responsibilities

• Design graph data models for complex multi-entity analytical datasets.
• Develop knowledge graphs and network-intelligence systems connecting companies, investors, technologies, people, institutions, projects, geographies and other entity types.
• Build pipelines for transforming structured and semi-structured datasets into graph-ready data.
• Work on entity normalization, relationship definitions and graph-schema design.
• Apply network-analysis methods including centrality, clustering, community detection, connectivity analysis and relationship mapping.
• Identify strategically relevant patterns and relationships that conventional tables and dashboards may not reveal.
• Develop interactive graph interfaces that allow users to explore networks without producing unreadable “hairball” visualizations.
• Create layered views, filters, drilldowns and contextual information that make large graphs operationally useful.
• Integrate graph analytics into DKG dashboards, ecosystem platforms and intelligence products.
• Work with data engineers and analysts to ensure graph outputs are analytically valid.
• Build reusable graph components and analytical frameworks for application across different DKG industries.
• Explore graph machine learning or predictive relationship analytics where these provide genuine practical value.
• Document graph schemas, relationships and analytical methodology.
   

Required Skills

• Strong practical experience with graph analytics, network science, knowledge graphs or closely related work.
• Strong Python skills.
• Experience with NetworkX, igraph or comparable graph-analysis libraries.
• Experience with graph databases such as Neo4j, Memgraph, ArangoDB or equivalent.
• Strong understanding of graph schemas, nodes, edges, properties and relationship modelling.
• Experience with advanced graph visualization tools or frameworks such as D3.js, Sigma.js, Graphistry, Gephi or similar.
• Experience cleaning and structuring complex real-world datasets.
• Ability to convert analytical requirements into appropriate graph structures and algorithms.
• Strong understanding of visual usability for large and complex networks.
• Ability to explain graph-derived findings in practical strategic terms.
• Strong English communication skills.
   

Strong Advantages

• Experience with graph machine learning, embeddings or link-prediction techniques.
• Experience with PyTorch Geometric, DGL or comparable graph-ML frameworks.
• Experience building market-intelligence, investment-intelligence, OSINT or ecosystem-mapping products.
• Experience with entity resolution and ontology/taxonomy design.
• Experience integrating graphs into production web applications.
• Familiarity with AI-assisted coding and analytical workflows.
• Exposure to investment analytics, AI, DeepTech, Life Sciences or other complex knowledge domains.
   

What Makes This Role Different

We are not looking for somebody whose main output is visually impressive network diagrams.

The purpose of graph intelligence at DKG is to expose relationships that improve actual analysis and decision-making—for example:

• identifying important companies or investors inside an ecosystem;
• mapping technology-to-company-to-investor relationships;
• identifying clusters and emerging technological concentrations;
• visualizing stakeholder and partnership ecosystems;
• tracing relationships between projects, organizations, markets and strategic opportunities.

The successful candidate must therefore combine graph engineering, analytical reasoning and visual-product design.
 

What Success Looks Like

A successful Graph Intelligence Specialist will create graph systems that become reusable infrastructure across DKG's analytical products: technically robust, analytically meaningful and sufficiently intuitive that users can extract useful insights without needing to understand graph theory.

Mirko Solutions is an international IT company specializing in web and mobile development for clients in the US, Canada, EU, and Australia. We are growing rapidly and are currently looking for an Operations Manager for a new international project.

Key skills:

• Crisis managemen;
• Operational management;
• Jira (or similar tools);
• Analytical and systematic thinking;
• Leadership and communication;
• Organization and ability to multitask.

Responsibilities:

• Implementation and optimization of operational processes for the entire team (40+ people);
• Resource management and task distribution among teams;
• Preventive identification and neutralization of crisis situations, creation of emergency response plans;
• Coordination of work cycles (sprints), checkpoints, and timely completion of key stages;
• Tracking KPIs and budgets, analyzing process efficiency;
• Synchronization of work between departments to achieve strategic goals;
• Preparation of weekly and monthly reports for management.

Requirements:

• Minimum 2 years of experience as an operations or project manager in IT field;
• Experience in successful crisis management and working in stressful situations;
• Deep understanding of the development cycle and team roles;
• Proficient user of Jira or similar tools (Confluence, Asana, Trello);
• Strong leadership and communication skills, ability to motivate a team;
• Analytical approach to risk assessment and decision making;
• Result-oriented and willing to work in a multitasking environment.

We offer:

• Flexible work format: remotely or from the office in Lutsk (Mon-Fri, 09:00—18:00);
• 18 calendar days of paid vacation and 10 sick days per year;
• Opportunity to implement your own ideas in a creative, dynamic team;
• Regular online and offline corporate events and team building activities;
• Support for professional growth and participation in industry conferences.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.
   

We are currently looking for a Junior Data Analyst to join our growing Tax Data CoE team and support international tax and compliance projects through data analysis, validation, reporting, and process improvement initiatives.

In this role, you will work with large datasets from various client systems, helping teams transform raw data into meaningful insights. You will collaborate closely with data engineers, tax specialists, and engagement teams to ensure data quality, support reporting activities, and contribute to the development of scalable data-driven solutions. The role offers exposure to modern PwC technologies, including Workbench, Databricks, Power BI, and Data Controls Engine (DCE).

Key responsibilities:

• Data Extraction & Processing: Extract, prepare, and analyze data from SAP, Oracle, and other enterprise systems.
• Data Quality & Validation: Perform data validation, reconciliation, and quality checks to ensure accurate and reliable datasets.
• Reporting & Analytics: Create reports, dashboards, and actionable business insights using Excel, Power BI, and SQL.
• Data Automation: Support automation of data collection, transformation, and reporting processes.
• Collaboration: Work closely with engagement teams, tax specialists, and data professionals to deliver data-driven solutions.

Who We're Looking For:

• Junior or Middle-level Data Analyst with up to 2 years of relevant experience.
• Good knowledge of SQL and at least one of the following technologies: Alteryx, Python, or Databricks.
• Experience with data analysis, validation, and reporting activities.
• Familiarity with SAP and/or Oracle databases would be a strong advantage.
• Strong analytical and problem-solving skills.
• Excellent written and spoken English (B2+).

Nice to Have:

• Experience with Power BI, Databricks, or cloud-based analytics platforms.
• Exposure to data warehousing or data platforms.
• Knowledge of financial, tax, or compliance-related data.
• Experience working with large datasets and data transformation activities
  
  Policy statements:
  https://www.pwc.com/ua/uk/about/privacy.html

About Deep Knowledge Group

Deep Knowledge Group (https://www.dkv.global/) builds large-scale analytical databases, investment-intelligence systems, industry ecosystem platforms, competitiveness indices and interactive dashboards across frontier industries including AI, Longevity, HealthTech, DeepTech and QuantumTech.

Our products often involve complex, multidimensional datasets that need to become clear decision-making tools, not simply charts.
 

About the Role

We are seeking a Data Visualization Specialist who can transform complex analytical outputs into intuitive, high-quality interactive visual products.

This role sits between data analysis, frontend visualization and information design. The successful candidate should be capable of understanding what a dataset actually means, selecting the most appropriate visual structure, and implementing it in a form that executives, investors, analysts and other users can understand quickly.

This is not primarily a graphic-design role. Candidates must be comfortable working directly with structured data, APIs and analytical logic.

Key Responsibilities

• Develop interactive dashboards, charts, maps, analytical interfaces and other data-rich visual products.
• Transform complex datasets into clear narratives, comparisons, rankings, trends and decision-support views.
• Select visualization types based on the analytical question rather than defaulting to repetitive chart formats.
• Work directly with analysts and data scientists to understand source data, calculations, assumptions and intended user decisions.
• Develop reusable visualization components that can be applied across multiple DKG platforms.
• Build and maintain interactive visualizations using Python and/or modern JavaScript visualization libraries.
• Integrate data from APIs, databases, Google Sheets and other structured sources.
• Optimize visualization performance for large datasets.
• Improve existing dashboards for readability, responsiveness, visual hierarchy and user experience.
• Ensure labels, units, scales, filters and analytical distinctions are accurate and unambiguous.
• Test visualizations across devices and browsers.
• Use AI-assisted development tools effectively while independently reviewing generated code and analytical outputs.
• Contribute to internal standards for advanced data visualization and analytical storytelling.
   

Required Skills

• Strong portfolio demonstrating sophisticated data visualization work.
• Strong practical experience with Python-based data processing and visualization.
• Experience with libraries/frameworks such as Plotly, D3.js, ECharts, Vega/Vega-Lite or comparable tools.
• Good understanding of Pandas and structured-data manipulation.
• Experience building interactive dashboards or web-based analytical applications.
• Ability to work with APIs and external data sources.
• Strong understanding of visual hierarchy, information density and analytical storytelling.
• Ability to explain complex data clearly to non-technical audiences.
• Strong English communication skills.
• Ability to independently learn unfamiliar industries, taxonomies and datasets.
   

Strong Advantages

• Experience with Flask, FastAPI, React or comparable web application frameworks.
• Experience creating geographical, temporal, hierarchical or multidimensional visualizations.
• Experience with financial, investment, market-intelligence or scientific datasets.
• Knowledge of statistics and analytical methodology.
• Experience designing executive-grade dashboards rather than purely operational BI reports.
• Familiarity with AI-assisted coding and visualization workflows.
   

What We Will Evaluate

Candidates should be prepared to demonstrate actual previous work.

We will place particular weight on whether you can take a difficult dataset and make its main analytical distinctions immediately legible—without oversimplifying the underlying information.

The strongest candidates will combine analytical discipline with strong visual judgment and technical implementation ability.

Job Description

• Experience of 1-2 years in SW testing or customer support or network provider companies
• Linux knowledge
• Knowledge in networking area (TCP/IP stack)
• High level of interpersonal skills. Ability to communicate effectively with different groups
• B. Sc. in computer science or Electricity Engineering or equivalent
• Upper-intermediate English (writing and speaking)

Would be a plus:

• Knowledge in DOCSIS / PON (Passive Optical Network)
• Knowledge in CI/CD (Jenkins)
• Data traffic generators (Ixia, iPerf.) and analyzers (Wireshark)
• Script tools/languages (Python, Bash, etc.)
• Hands-on experience with virtualization technologies (Kubernetes, Docker)
• Familiarity with AI-Assisted QA Workflows
  
  
   

Job Responsibilities

• Test end-to-end complex embedded systems by analyzing automation test results, which are part of Continuous Integration (CI)
• Maintain test suites (CI) by adding new tests (Python) developed by other teams, and optimizing their structure to increase coverag
• Ramp up and maintain a shared pool of setups dedicated to the CI/CD activities
• Work in agile mode and cooperate with multiple scrum teams

Department/Project Description

Broadband team works on 2nd generations of Harmonic (NASDAQ:HLIT) Cable Access products: actively developing the industry’s first software-based CCAP solution (“Cable OS”) and cloud native CMTS.

These solutions allow to cable operator companies to deliver the IP-based data, video, and voice services to millions of customers. Focus is given to CableOS which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of HW network equipment.

The system is based on microservice architecture and is running on the general purpose CPUs. It doesn’t require using ASICs and make possible to run the SW both on the bare metal servers as well as on the private cloud infostructure. CableOS is a pioneer in DOCSIS software defined networking (SDN) with all the benefits it gives to the service providers.

GlobalLogic team is involved in development, manual and automated testing, as well as in solution integration at customers’ headend and further technical support 24/7 with providing professional services for Customers.

To learn more - please visit

HTTPS://WWW.HARMONICINC.COM/BROADBAND/
HTTPS://WWW.GLOBALLOGIC.COM/UA/HARMONIC-AND-GLOBALLOGIC/

We are looking for a Marketing Web Designer to join our team and create high-performing landing pages for paid traffic campaigns, starting with Meta Ads. This role is a great fit for someone who combines hands-on web development skills with a performance-driven mindset, understands how tracking works, and has a good eye for creating clear, conversion-focused user experiences.

HOW YOU WILL MAKE AN IMPACT

• Build landing pages for Meta Ads and other paid traffic channels by assembling and composing existing brand assets and visual elements into polished, conversion-ready pages.
• Set up and validate Meta Pixel events, including PageView, ViewContent, Lead, CompleteRegistration, Purchase, and custom events based on the funnel.
• Work with GTM and other tracking tools to ensure accurate, platform-agnostic event tracking, correct event parameters, and zero data loss or duplication — including across multiple redirects and pre-landing pages.
• Ensure proper capture, storage, and transfer of UTM parameters, Click IDs, subids, and other tracking parameters between landing pages and target websites.
• Test both the functional side (forms capture and pass exactly the data users submit) and the analytics side (tracking events fire correctly, without loss or duplication) of every landing page before it goes live.
• Apply conversion-focused, mobile-first UX/UI judgment — clear visual hierarchy, strong CTAs, cross-platform adaptive layouts, and a short path to the target action — validated across key mobile/desktop resolutions and major browsers.
• Run fast A/B iterations by testing hero sections, CTAs, offers, page structures, and individual UI elements based on advertising test results.
• Optimize landing page loading speed and Core Web Vitals, with particular attention to mobile performance.
• Collaborate closely with the Design team, working within established brand guidelines and existing visual assets rather than starting from scratch.
• Quickly implement updates and improvements based on feedback from the Marketing team.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Hands-on experience with Meta Pixel and GTM, including independently installing Pixel, configuring basic events, and verifying that they fire correctly.
• Solid understanding of tracking parameters, including UTM, Click ID/subid, query parameters, and how they are preserved and passed between pages.
• Ability to troubleshoot tracking issues and understand how data flows across different platforms, pages, and redirects.
• Understanding of performance UX/UI and how landing page structure, visual hierarchy, and CTAs impact conversion.
• Experience creating mobile-first, responsive landing pages for paid traffic across different screen sizes and browsers.
• Analytical mindset, technical accuracy, and strong attention to detail, with the ability to meet deadlines and iterate quickly based on feedback.
• English at B2 level or higher.

NICE TO HAVE:

• 1+ year of experience within the iGaming industry.
• Comfort using AI tools to generate and adapt simple visual assets when needed.
• Experience with React.

WHAT WE OFFER:

• Flexible working hours and a remote-first setup, so you can plan work around your life — not your life around work.
• Unlimited vacation and paid sick leave, because taking time to rest shouldn't feel like a luxury.
• Competitive compensation that reflects your skills, experience, and impact.
• Flexible Benefits — a monthly budget you can spend on sports, healthcare, therapy, or language learning. Your benefits, your choice.
• 50% reimbursement for professional learning and development to help you keep growing.
• Employee referral bonuses and gifts to celebrate your special occasions.
• A supportive team culture built on trust, respect, and collaboration.
• Regular online and offline team events to connect beyond work.
• Co-working space reimbursement for teammates based in Ukraine, whenever you need a change of scenery.

About Deep Knowledge Group

Deep Knowledge Group operates a substantial portfolio of analytical platforms, technology projects, industry ecosystems and public-facing initiatives spanning AI, DeepTech, Longevity, HealthTech, investment analytics and related frontier industries.

This has resulted in a growing network of websites and digital products that must combine strong visual presentation with high performance, maintainability, SEO, scalability and rapid content updating.
 

About the Role

DKG is looking for an experienced Web Developer to redesign the underlying website-development system, not simply build individual pages.

Our current workflow combines Wix with custom HTML pages and components, including AI-assisted generation of frontend code. While this enables rapid prototyping, it also creates limitations in performance, SEO, maintainability, content editing and scalability across a large website portfolio.

The first objective of this role is therefore to determine and implement the best long-term architecture for DKG's public web infrastructure.

We are open to different technical solutions. The successful candidate should be capable of assessing the current stack objectively and recommending whether DKG should optimize the existing approach, migrate progressively to another CMS/framework, or adopt a hybrid architecture.
 

Initial Deliverable

The first assignment should produce:

1. A concise audit of the existing Wix + custom HTML workflow.
2. Identification of the main performance, SEO, maintenance and scalability problems.
3. A recommended target architecture with clear rationale.
4. A practical migration sequence rather than an unnecessary full rebuild.
5. A working pilot demonstrating the proposed approach on an agreed DKG page or website.
    

Key Responsibilities

• Audit DKG's existing websites, custom HTML components and deployment workflow.
• Define a scalable architecture for a multi-site environment.
• Improve Core Web Vitals, page speed, responsive performance and frontend efficiency.
• Improve technical SEO, metadata, indexing and semantic page structure.
• Develop reusable components and templates for recurring DKG website patterns.
• Create a workflow in which non-technical team members can safely update ordinary text, images, links and content.
• Integrate AI-assisted development into a controlled production workflow rather than relying on unreviewed generated code.
• Establish clear staging, QA, deployment and rollback processes.
• Support progressive migration away from technical workarounds where appropriate.
• Ensure compatibility with analytics, forms, CRM integrations, APIs and other DKG infrastructure.
• Document the architecture and provide simple guidance for internal website administrators.
• Work collaboratively with DKG's IT, design and website-administration teams.
   

Requirements

• Strong HTML5, CSS3 and JavaScript / TypeScript skills.
• Demonstrable experience building fast, production-quality responsive websites.
• Experience with modern frontend frameworks such as React, Next.js or equivalent.
• Strong experience with at least one professional CMS or structured content-management architecture.
• Experience with website migration and legacy-platform modernization.
• Understanding of technical SEO and web-performance optimization.
• Experience with hosting, deployment, CDN and version-control workflows.
• Ability to evaluate architecture trade-offs rather than simply advocate for one preferred technology.
• Experience reviewing and improving AI-generated code.
• Strong ability to explain technical recommendations clearly to non-technical stakeholders.
   

Strong Advantages

• Direct experience migrating complex websites away from Wix.
• Experience managing multiple sites through shared components or design systems.
• Experience with headless CMS architectures.
• Experience connecting websites to CRM, analytics, forms and API-based applications.
• Strong UX and visual-quality awareness.
   

What Success Looks Like

The desired result is not simply “a better website.”

It is a repeatable web-production system that allows DKG to launch and update sophisticated websites faster, achieve materially better performance and SEO, reduce technical debt, reuse components across projects and allow routine content changes without developer intervention.

Our Customer:

Our customer is an international technology company developing a modern cloud-based SaaS platform used by businesses to automate and optimize their daily operations. The product serves enterprise customers and is built with scalability, reliability, and long-term maintainability in mind. The engineering team follows modern development practices, values clean architecture, and actively collaborates across product, design, and QA to deliver high-quality software.

Your Tasks:

• Design, develop, and maintain scalable full-stack web applications using .NET and React.
• Build reusable, maintainable, and high-quality backend and frontend components.
• Design and implement RESTful APIs and integrate backend services.
• Collaborate with Product Managers, UX/UI Designers, QA Engineers, and other developers throughout the development lifecycle.
• Participate in architecture discussions and contribute to technical decisions.
• Optimize application performance, scalability, reliability, and security.
• Troubleshoot and resolve issues across both frontend and backend systems.
• Work with Docker, CI/CD pipelines, deployment configurations, and monitoring tools to support reliable software delivery.
• Perform code reviews and share technical knowledge within the team.
• Follow Agile methodologies and software engineering best practices.

Required Experience and Skills:

• 5+ years of commercial experience in full-stack software development.
• Strong hands-on experience with .NET / C#.
• Strong experience with React and modern JavaScript/TypeScript.
• Experience designing and consuming RESTful APIs.
• Solid knowledge of SQL databases.
• Experience working with Docker, deployment pipelines, and monitoring tools.
• Experience with Git and modern CI/CD workflows.
• Strong understanding of object-oriented programming, software architecture, and design patterns.
• Excellent analytical and problem-solving skills.
• Ability to work independently and effectively in a cross-functional Agile team.
• Upper-Intermediate English or higher.

Would Be a Plus:

• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience with microservices architecture.
• Knowledge of Kubernetes or container orchestration.
• Experience with automated testing and TDD.
• Previous mentoring or technical leadership experience.

Working conditions

• 5-day working week, 8-hour working day;
• Remote work.

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

Responsibilities

• Handle technical requests from clients, operators, and internal teams.
• Investigate, reproduce, and troubleshoot slot game issues.
• Analyze logs, game sessions, and technical identifiers.
• Verify game functionality on desktop and mobile.
• Create bug reports and verify fixes.
• Perform smoke/sanity testing after fixes and releases.
• Support production incident investigations and escalate critical issues.
• Track client-facing issues through resolution.
• Collaborate with QA, Development, DevOps, Account Managers, and other teams.

• Maintain troubleshooting documentation and identify recurring issues.

   

Requirements

• 2+ years of experience in QA, Technical Support, Application Support, or similar.
• Understanding of software testing and client-server architecture.
• Experience with defect investigation and bug reporting.
• Basic knowledge of HTTP/HTTPS and SQL.
• Experience with REST APIs and Postman.
• Experience with ClickUp or similar tools.
• Strong analytical and troubleshooting skills.
• Good technical communication skills.
• English sufficient for written communication.

Nice to Have

• Experience in iGaming, online casino, or slot provider products.
• Knowledge of casino/game provider or aggregator integrations.
• Experience with Kibana, Grafana, Sentry, Datadog, or similar tools.
• Understanding of microservices and production incident investigation.
  
   

Benefits:

• 21 vacation days + 2 extra day-offs annually;
• 12 paid sick days;
• Fully remote format — work from anywhere you feel productive;
• Flexible schedule: start your day anytime between 08:00–11:00 CET;
• Fixed budget for health insurance and gym/fitness;
• Provided all required work equipment;
• Zero bureaucracy and direct communication with founders and C-level;
• Minimal meetings, async-friendly workflow;
• Startup energy: fast motion, creativity, and tight-knit communication;
• Business trips and team meetups several times per year;
• Multiple salary payout options (flexible formats);
• …And many more perks unlocked after we hit break-even.