Jobs at Djinni

Real People. Real Impact. One Crazy-Good Team.
Let’s Start With a Hello
We’re looking for a Junior Content Manager who’s detail-oriented, comfortable working with AI tools, and interested in growing in content management.
If you enjoy working with texts, websites, structured information, and digital tools — and you’re the kind of person who notices when something looks wrong before anyone else does — this could be a great match.
Who We Are
We’re a fast-moving digital team working with websites, content, SEO, and multiple markets. Our content needs to stay accurate, structured, up to date, and consistent across different pages and languages.
Our culture?
Fast-paced and practical.
Open to AI and new tools.
Focused on quality and continuous improvement.
Supportive of learning and professional growth.
What You’ll Be Doing (Junior Content Manager)
● Working with different AI tools for research, content structuring, translation, text-related tasks, and routine processes.
● Publishing and updating content across websites.
● Adding and editing texts, images, tables, links, and other page elements.
● Working with WordPress, other CMS platforms, and HTML-based websites.
● Formatting content according to existing guidelines, templates, and technical requirements.
● Updating existing pages based on prepared briefs and tasks.
● Checking published content for errors and correct display.
● Working with multilingual content and supporting the preparation of localized page versions.
● Keeping track of content tasks, statuses, and material updates.
SEO & Content Support
● Applying basic on-page optimization according to prepared SEO recommendations.
● Working with Title, Description, H1–H6, Alt tags, and other basic page elements.
● Checking keyword usage according to SEO briefs.
● Adding and updating internal links based on provided recommendations.
● Checking content structure and formatting from both user experience and SEO perspectives.
● Collaborating with SEO specialists when creating and updating pages.
Quality Control
● Checking content for spelling, grammar, and factual errors.
● Verifying links, images, tables, and other page elements.
● Checking how pages display after publication.
● Identifying outdated, duplicated, or incorrect content.
● Fixing simple issues independently and escalating more complex ones to the relevant specialists.
Analytics & Reporting
● Maintaining spreadsheets with content tasks and statuses.
● Preparing simple reports on completed content activities.
● Tracking the number of published and updated materials.
● Identifying obvious content issues and communicating them to the responsible team member.
What Makes You a Great Fit
● Good understanding of AI tools and ability to use them for research, information structuring, text-related tasks, translation, and routine content work.
● Strong written Russian.
● English at A2+ level or higher for working with English-language content, translations, international sources, and documentation.
● Strong attention to detail and accuracy.
● Basic understanding of how websites and CMS platforms work.
● Confidence with Google Docs / Google Sheets or similar tools.
● Ability to follow briefs, instructions, and predefined templates.
● Strong research and information-structuring skills.
● Ability to identify and independently fix obvious content issues.
● Basic HTML knowledge — enough to read and perform simple content formatting.
● Comfortable working with large volumes of repetitive tasks.
● Willingness to learn and grow professionally in content management.
Bonus Points
● 6+ months of experience as a Content Manager or in a similar role.
● Previous experience working with content in iGaming or other highly competitive industries.
● Experience with content translation and localization.
What’s In It for You
● Hands-on experience with modern AI tools and content workflows.
● Work with websites, CMS platforms, multilingual content, and SEO processes.
● Opportunity to build strong practical skills in content management.
● Learn how content, SEO, localization, and website structure work together.
● Room to grow professionally while gradually taking on more complex content tasks.
Let’s Wrap It Up
If you’re attentive, curious, comfortable with AI and digital tools, and ready to build your career in content management — we’d love to hear from you.
Learn the tools. Master the content. Grow your expertise.

For Ukrainian citizens only

Scalivo is an Ops-as-a-Service provider for growing businesses, delivering hands-on operational support and embedded execution across back-office, customer support, and business operations.

About Our Client

Our client is an innovative PropTech platform simplifying co-ownership and fractionated real estate investments. Their product manages the full lifecycle - from buying and selling property shares to guest stay management, booking engines, automated payments, and property operations.

Role Overview 

As a Property Operations Manager, you will support the Operations Team in maintaining smooth day-to-day operations and administrative workflows for vacation properties.

Key Responsibilities:

• Manage property contracts, incoming/outgoing invoices, and preparatory accounting.
• Prepare operational expenses, capital improvement reports, financial plans, and year-end statements.
• Support property owners regarding issued invoices and administrative requests.

• Consolidate operational data into scalable formats.

   

Requirements:

• Experience: 2+ years of relevant experience in operations, administration, or real estate.
• Languages: Upper-Intermediate / Advanced (B2+) written and spoken German and English.
• Education: Degree in Business Administration, Economics, Real Estate, or a related field.

• Skills: Strong proficiency in MS Office (Word, Excel, PowerPoint); highly organized, detailed-oriented, and structured approach.

   

What We Offer:

• Salary: €1,800 / month.
• Full-time employment and 100% remote work.
• Five-day workweek, full-time (8 hours per day).
• Opportunity to shape operations in a leading European proptech startup.
• Work alongside experienced founders and top-tier technology & real estate investors.
• Flat hierarchies, fast decision-making, and room for professional growth.

For Ukrainian citizens only

At Scalivo, we deliver Operations-as-a-Service for fast-growing e-commerce brands and global tech companies. We step in where automation and internal capacity fall short - handling day-to-day operations and building strong dedicated teams so business leaders can focus on scaling without complex hiring overhead. We are managing this recruitment process directly on behalf of our client.

About Our Client

Our client is an innovative PropTech platform simplifying co-ownership and fractionated real estate investments. Their product manages the full lifecycle - from buying and selling property shares to guest stay management, booking engines, automated payments, and property operations.

About the Role

We are looking for a Senior Software Engineer / Tech Lead who balances hands-on IC execution with technical leadership. In this role, you will guide architectural decisions, mentor engineers, and ensure high-quality delivery across a full-stack TypeScript ecosystem in close collaboration with product and design teams.

Key Responsibilities

• Technical Leadership: Architect and evolve systems across a TypeScript-based stack (Node.js, NestJS, React, React Native, Next.js); drive distributed and event-driven architecture standards; perform code reviews and mentor engineers.

• Execution & Delivery: Build core features, review PRs, break down complex requirements into actionable work, and maintain strong engineering practices (CI/CD, testing, observability).

   

Requirements

Must-have:

• 6–10+ years of software engineering and technical leadership experience.
• Deep expertise in TypeScript, Node.js, NestJS, along with React, React Native, or Next.js.
• Strong background in cloud environments (preferably GCP).
• Experience designing and maintaining distributed systems and event-driven architectures (microservices, CQRS, Pub/Sub, message brokers).

• Proven track record of leading technical initiatives, mentoring developers, and cross-functional collaboration.

   

Nice-to-have:

• Familiarity with payment security, user data protection, and access control.
• Basic understanding of AI engineering (LLM system integration, prompt design).
• Experience with booking engines, financial/transactional systems, or Domain-Driven Design (DDD).

• Knowledge of DevOps / Infrastructure-as-Code (Terraform, Pulumi).

   

Way of Working

We value true ownership, clear technical communication, team mentorship, and the ability to balance speed of execution with long-term architectural maintainability.

What We Offer

• Rate: €4000 / month.
• Full-time employment and 100% remote work.
• Five-day workweek, full-time (8 hours per day).
• Actively shape a leading European PropTech/Hospitality startup.
• Work directly with experienced founders, dynamic colleagues, and top-class tech/real estate investors.
• Ample room for creativity, experimentation, and modern AI tooling.

As our Senior AI Engineer, you'll own the intelligence layer of the platform — the gateway, tools, retrieval, and evaluation that let an AI assistant read and act inside a regulated ERP as the signed-in user, and never as anything more. In manufacturing that answers to auditors, an assistant that's confidently wrong, or that touches a record it shouldn't, is worse than no assistant at all. Your work is making AI trustworthy enough to put in front of a quality manager.

This isn't a role for working through a queue of well-specified tickets.

 You'll take large features from a loose problem statement to production — agentic workflows, AI on mobile for the shop floor, and the system and infrastructure changes underneath them. You'll decide what to build as much as how, and you'll push for the breakthrough features that make customers switch, not only the ones already on the roadmap.

The ideal candidate thrives in startup ambiguity, moves with real urgency, and has a track record of turning open-ended problems into shipped products without waiting to be told what's next.

What You'll Do

01 — Take large features from idea to production.

Own agentic workflows and AI on mobile end to end. Start from the user's problem, shape the solution, write the plan and the tickets, build the React and mobile interfaces that make AI output trustworthy and actionable, ship it, and measure whether it worked.

02 — Make and own large system changes.

Propose, defend, and carry through the architecture and infrastructure the AI layer depends on — background agents and job queues, observability, cost metering, per-tenant limits, and model version pinning.

Required Qualifications

- 8+ years building and shipping production software, including 2+ years shipping LLM-powered features to real users, and a track record of owning large features end to end.

- AI-native engineering practice — you've rebuilt how you work around agents rather than adding them to an old workflow. Claude Cowork as your primary tool, with strong hands-on experience using Claude Code, Cursor, Codex, or similar; you direct agents through most of the implementation and stay disciplined about the quality, stability, and extensibility of what they produce.

- Product sense and ownership — you work from problems, not specs. You figure out what users and the business actually need, write your own tickets, make the call when the answer isn't obvious, and drive work to done without needing direction repeated.

- Production LLM application engineering — tool calling, structured output, prompt and context design, and streaming, with Claude, OpenAI, or similar, via AWS Bedrock or direct APIs.

- Retrieval-augmented generation in production — chunking, embeddings, and hybrid search on pgvector or equivalent, with access control enforced at retrieval time.

- Evaluation and AI security discipline — you've built eval suites that gate releases, and you design against prompt injection, data leakage through tool output, and cross-tenant access from the start.

- Strong TypeScript, React, and Next.js in production — enough to own the AI experience end to end rather than hand it off.

- Production experience with PostgreSQL — schema design, query optimization, and operating it at scale.

- Hands-on with AWS services — Bedrock, RDS, Fargate, S3, VPCs, IoT Core, DynamoDB, and related infrastructure.

- Disciplined engineering fundamentals — SOLID, DRY, and Domain-Driven Design applied to complex business domains, with unit and integration tests as part of your normal workflow.

- B.S. in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.

Preferred Qualifications

- Early-stage startup experience — you've shipped at weekly cadence, owned outcomes rather than tasks, and built something new that changed what the product could do.

- Shipped mobile applications — React Native or similar — for field, operator, or shop-floor use.

- Experience building manufacturing software or Industrial IoT systems — ERP, MES, or SCADA platforms, or machine connectivity over MQTT, OPC-UA, or similar.

- Hands-on with the Model Context Protocol — MCP servers or clients, and OAuth 2.1 authorization for agents.

- C# / .NET experience, as our core services move to a C# and AWS architecture.

- Exposure to compliance frameworks such as SOC 2, GAMP 5, ISO 13485, 21 CFR Part 11, or similar.

Readiness to work from 16:00 till 01:00 in order to have an optimal overlap of work hours with USA based teams.

For Ukrainian citizens only

Scalivo provides Operations-as-a-Service for growing ecommerce brands and tech companies. We place experienced, tech-savvy operators directly into our clients' existing setups to handle day-to-day operations, back-office processes, and talent execution where automation stops. We are managing this recruitment process on behalf of our partner client.

About Our Client

Our client is an innovative PropTech platform simplifying co-ownership and fractionated real estate investments. Their product manages the full lifecycle - from buying and selling property shares to guest stay management, booking engines, automated payments, and property operations.

We bring together two complementary builder teams under one roof: a high-agency Engineering team (optimizing for scalability, security, and sustainability) and AI Builders (optimizing for speed using no-code, low-code, and AI-assisted tools).

The Role

We are looking for a dynamic Senior Product Manager - Platform to own the operating system behind our co-ownership offering (property acquisition, launch, co-owner operations, property management, and our owner app) and unite engineers and AI Builders on one single roadmap.

Team Setup: You’ll closely collaborate with 3–5 engineers and 2–3 AI Builders in a matrix environment (acting as a dotted-line partner).

This is a highly operational, hands-on role.

What You Will Do

• One Joined Roadmap: Manage prioritization, specs, alignment, and QA for both engineers (requiring technical stringency) and AI Builders (requiring lightweight 80/20 structures) without slowing execution down.
• Paired Projects & Productization: Facilitate joint projects between engineers and AI Builders, defining clear paths to productize AI-built prototypes into the core platform once validated.
• Processes & Risk Awareness: Maintain lightweight intake processes, surface security/scalability risks in AI solutions, and bring essential engineering practices (monitoring, documentation) to the automation layer. Note: Formal enforcement of non-negotiable guardrails and compliance sits with a separate dedicated function, not with this role.

• Senior Product Voice: Drive consistent product practices and act as the senior product voice across all dimensions (Growth, Finance, Platform).

   

Requirements

• Proven PM Delivery: Strong track record of delivering specs, roadmaps, and shipping products with engineering teams.
• Data & ROI-Driven: Grounds prioritization in data and directly owns business-value KPIs.
• AI-Native Fluency: Hands-on experience building with no-code, low-code, and AI-assisted ("vibe-coding") tools.
• Technical Peer: Deep technical fluency to collaborate as a genuine peer with software engineers.
• Creates Clarity: Thrives in ambiguous environments and builds clear structure where none exists.
• Influence Without Authority: Excellent communicator who aligns cross-functional stakeholders with different priorities through trust and adoption.

What Success Looks Like at 6 Months

• Joined Roadmap: Engineers and AI Builders run smoothly off one unified roadmap with clear specs and a structured QA/testing cadence.
• Organic Adoption: AI Builders voluntarily adopt lightweight PM templates and visibility processes without feeling slowed down.
• Productization: Paired engineer & AI Builder projects ship without collisions, and at least one AI-built solution has been successfully productized into the core platform.
• KPI Ownership: Business-value KPIs for the Platform product area are actively owned, tracked, and driven.

What We Offer

• Rate: €4,500 / month.
• Full-time employment and 100% remote work.
• Five-day workweek, full-time (8 hours per day).
• Actively shape a leading European PropTech/Hospitality startup.
• Work directly with experienced founders, dynamic colleagues, and top-class tech/real estate investors.
• Ample room for creativity, experimentation, and modern AI tooling.

As a Senior Cyber Security Analyst, you will join a team focused on identifying, investigating, and mitigating malicious web activity across large-scale digital environments. The role combines threat analysis, traffic investigation, detection engineering, and collaboration with customers and internal engineering teams to improve protection mechanisms and threat visibility.

You will work with high-volume traffic datasets, analyze suspicious behavior patterns, and contribute to the continuous improvement of security detections related to bots, fraud attempts, and other web-based threats.

Customer

Our client delivers advanced cybersecurity solutions designed to protect organizations, users, and digital ecosystems from evolving online threats. The company specializes in bot defense and anti-malvertising technologies for the AdTech industry, supporting SSPs, DSPs, agencies, and publishers through scalable protection platforms, customizable reporting tools, and API integrations.

Project

The project focuses on real-time threat detection and bot mitigation for enterprise-scale clients. Cyber Security Analysts collaborate directly with customers, leveraging advanced analytics platforms to identify malicious traffic patterns and neutralize online threats. This dynamic environment requires both technical expertise and strong communication skills.

Requirements

• 3–5 years of experience in Cybersecurity, Threat Research, or Threat Intelligence
• Bachelor’s degree in Computer Science, Cybersecurity, Information Security, or a related field
• Strong understanding of web technologies and networking fundamentals, including HTTP/HTTPS, TCP/IP, DNS, authentication, cookies, and browser-server interactions
• Experience in web security research, bot management, fraud detection, or related domains
• Hands-on experience with threat investigations, IOC analysis, and threat intelligence research
• Experience with log analysis and investigation platforms such as Kibana/OpenSearch, Snowflake, Datadog, or similar tools
• Strong SQL skills, including working with large datasets and UDFs
• Basic knowledge of JavaScript for web and client-side analysis
• Strong analytical and problem-solving skills
• Ability to work independently and manage investigations with minimal supervision
• Strong communication and collaboration skills
• Passion for cybersecurity and continuous learning

NICE TO HAVE:

• Knowledge of MITRE ATT&CK, malware analysis, vulnerabilities, and adversary TTPs
• OSINT and cyber threat intelligence research experience
• Python and Jupyter Notebook experience for investigations and automation

• Experience with GitHub and version control workflows

  Responsibilities

• Monitor and investigate potential security threats using tools such as Kibana/OpenSearch and Snowflake.
• Analyze security logs and investigate suspicious or unusual activity, including spikes in traffic, unexpected changes in attack patterns, and new or disappearing attack signals.
• Determine whether detected activity is malicious or benign and identify the appropriate response, including detection engineering to block malicious activity when needed.
• Develop, tune, and deploy detection rules based on traffic behavior, HTTP request attributes, headers, device fingerprints, and other indicators to mitigate malicious activity.
• Monitor existing detections and known attack patterns to make sure they continue to work as expected and identify any unusual changes in volume, sources, IPs, domains, or other indicators.
• Support customer onboarding by analyzing web application traffic flows and configuring baseline detection and protection rules.
• Investigate customer-reported incidents and missed detections, analyze attack traffic, and implement mitigations to improve protection coverage.
• Document newly discovered threats and attacks, including evidence, findings, and indicators.
• Communicate findings to Engineering and other stakeholders and provide the necessary technical details to support remediation and improvements to detection and protection mechanisms.
• Partner directly with counterparts through a ticketing system and support portal to investigate issues, provide updates, and resolve security-related requests.

USENSE is a Ukrainian IT outstaffing/outsourcing company specializing in web and mobile application development for clients across Europe and the USA. Over the past 5+ years, we have successfully delivered more than 50 commercial projects in Healthcare, Crypto, Education, Fintech, CRM Systems, and Food Delivery.We are expanding our team and opening a position for a Junior Angular Developer, someone with foundational technical skills, hands-on experience, and strong motivation to grow as a frontend engineer.

Responsibilities
• Develop user interfaces using Angular under the guidance of Team Leads and Senior engineers.
• Implement components, services, forms, and maintain project structure.
• Integrate frontend functionality with REST APIs and handle data processing.
• Convert UI/UX designs (Figma) into responsive, cross-browser user interfaces.
• Participate in code reviews, apply feedback, and follow coding standards.
• Support and optimize existing frontend functionality; gradually adopt best practices.
• Collaborate with designers, backend developers, QA engineers, and product teams.

Must-Have Technical Skills
• Solid knowledge of JavaScript (ES6+) and TypeScript, understanding of OOP principles.
•.    Practical experience with Angular
• Reactive and/or template-driven forms.
• Strong understanding of HTML5, CSS3 / SCSS, responsive and cross-browser layout.
• Basic understanding of REST APIs, JSON, asynchronous operations.
• Hands-on experience with Git (branching, pull requests).
• Ability to work with UI mockups (Figma).
• English level B1 or higher (required).

Nice to Have
• Knowledge of RxJS and reactive programming (Observables).
• Experience with Angular Material or other UI component libraries.
• Basic understanding of unit testing (Jasmine/Karma).
• Familiarity with performance optimization concepts and clean code practices.
• Experience working in Agile/Scrum teams.

We Offer
• Mentorship from Senior/Team Lead engineers and a structured learning roadmap during the first 2 months.
• Regular code reviews, exposure to real production workflows, and guidance on best engineering practices.
• Remote collaboration with a flexible schedule (Mon–Fri, 10:00–19:00 with adjustments possible).
• Opportunity to receive a long-term offer after the trial period and grow into Middle/Senior positions.
• Supportive team, transparent processes, and professional development within a stable company.

ChargerSystem builds a CPMS — a management platform for EV charging infrastructure. Our clients are charging network operators in Ukraine and abroad. The platform covers charging operations, billing, payments, station management, integrations, mobile applications, and operational tooling.

We are expanding our Web Services Development Team and looking for a Software Engineer with hands-on experience in building AI-powered tools and help evolve the ChargerSystem platform.

The role

You will become part of the Web Services Development Team. Your primary focus will be developing and improving AI-powered tools, agents, and integrations built around ChargerSystem MCP.

This is a product engineering role: you will work within an established release process, contribute to platform development, and deliver production-ready functionality together with the team.

What you’ll own
 

AI-powered tools and agents

• Develop and maintain ChargerSystem MCP tools and AI-powered workflows;

• Build AI agents, tool-calling scenarios, and internal automations;

• Integrate LLMs with ChargerSystem services in a secure, reliable, and observable way;

• Improve agent context handling, structured outputs, retrieval/RAG scenarios, and user experience;

• Turn operational needs into practical AI features that can be safely used by internal teams.
 

Engineering process

• Participate in prioritization, code reviews, testing, and releases;

• Work within the team’s established release and quality processes;

• Investigate issues in production and contribute to reliability and observability improvements;

• Take part in the ongoing technical evolution of the ChargerSystem platform.

Technology stack

• TypeScript, Node.js, NestJS;

• MongoDB, Redis, Elasticsearch;

• NATS, WebSocket / Socket.IO, BullMQ;

• AWS: Cognito, S3, SES, SQS;

• Docker, Kubernetes, Argo CD, AWS ECR / CodeBuild;

• Jest and Node.js test runner for unit and integration tests;

• Git, code review, CI/CD, and established release workflows.

What we’re looking for
 

Required

• 3+ years of commercial experience with Node.js and TypeScript;

• Strong experience with NestJS, REST APIs, integrations, and asynchronous processing;

• Hands-on experience with LLMs, AI agents, MCP, RAG, vector databases, or related AI integration solutions;

• Understanding of authentication, authorization, RBAC, and secure API design;

• Experience with unit and integration testing;

• Ability to work independently while following established engineering and release processes;

• Strong ownership: you deliver working solutions, not only prototypes or technical proposals.

Nice to have

• Experience with distributed systems, event-driven architecture, and AWS;

• Experience in EV charging, OCPP, OCPI, IoT.
 

What you get

• A core role in a product team building AI capabilities for a real operational platform;

• Direct influence on how AI tools and agents are used across ChargerSystem;

• Established engineering processes, release workflows, and clear service ownership;

• Close collaboration with engineering and operations teams, CTO and CEO.

• The opportunity to work on EV infrastructure — a growing domain in Ukraine and international markets;

• Market compensation.

We’re looking for a Senior Data Integration Engineer with strong experience in financial services, banking, or fintech to own and scale client data integrations across our platform.

The ideal candidate combines deep software engineering expertise with hands-on experience integrating complex financial systems, including core banking/processing platforms, digital banking solutions, loan origination systems, and CRM platforms.

JetSoftPro is looking for an experienced Senior Data Integration Engineer to join a project for a US-based fintech company working with credit unions and financial institutions.
Position Requirements:

• 8+ years of software engineering experience, including integration work in financial services, banking, or fintech environments 
• Strong command of modern integration technologies: REST APIs, authentication protocols, and data extraction
• Expert-level SQL, understanding of data warehousing
• Azure Fabric Data Warehouse is a plus
• Experience working directly with clients or external technical stakeholders 
• Strong proficiency with AI tools, understanding AI-native software development process
• Bachelor's degree 

• Responsibilities:
  Own the full lifecycle of client data integrations, from discovery and scoping through implementation, automation, and ongoing operation 
• Design and build integrations with credit union technology systems, including core processing, digital banking, loan origination, and CRM platforms
• Partner with client technical teams and third-party vendors to establish access, define data contracts, and establish new connections 
• Own integration reliability, including monitoring, alerting, and issue resolution 
• Handle sensitive financial data in line with security and compliance standards, including encryption, access controls, and auditability 
• Maintain documentation and repeatable patterns so each new integration builds on the last 
• Evaluate build, buy, and partner options for each integration and recommend an approach 
• Contribute improvements to the broader agentic platform beyond integration-specific work, including serving as a key stakeholder on source-system data, contributing to field definitions, mappings, and domain context
• Actively contribute to the development and maintenance company-wide data warehouse
   

Must-haves:
1. Completed university degree in Computer Science, Business Informatics, or a comparable qualification.
2. Proven knowledge of established architecture frameworks and standards.
3. Many years of professional experience in IT projects involving complex IT landscapes and demanding integration projects.
4. Experience working in both traditional and agile project environments.
5. Several years of experience as an IT architect designing modern web applications and web platforms.
6. Strong knowledge of modern IT architectures and development environments, including portals, API management, microservices, CI/CD, Django, Kubernetes/K8s, Ruby on Rails, or comparable technologies.
7. Experience designing and implementing “Governance as a Service” for AI and agent-based solutions.
8. Experience designing and further developing an Agent Harness for standardized orchestration, security, and governance of AI agents.
9. Knowledge of defining and technically enforcing governance rules, guardrails, role and authorization concepts, lifecycle requirements, and compliance requirements for AI agents.
10. Experience with LLM and agent governance, including controlled access to tools and data, traceability, observability, and reusable governance components.
11. Experience setting up, structuring, and continuously maintaining an LLM-optimized wiki or Git-based knowledge base.
12. Proficiency with Git-based workflows for versioned, traceable, and automatable knowledge maintenance, including Markdown, branching, pull requests, reviews, and CI/CD.
13. Experience preparing architecture, governance, and operational knowledge so it can be used automatically by LLMs and AI agents.

Nice-to-haves:
1. Knowledge of the energy industry.
2. Knowledge of IT applications used by a distribution system operator, particularly in asset management, grid operations, metering, CRM, billing, and/or market communication.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

N-iX is looking for a Middle Data Engineer for 6 months' engagement. 

You will act as the independent hands-on engineer and the technical owner of data readiness. The role combines pipeline and query engineering with investigation of source, mapping, hierarchy, and validation issues; coordination of market and provider validation cycles; reconciliation of outputs; and delivery of technically ready datasets to downstream consumers.

The Data Engineering team builds and maintains pipelines, while mappings and configurations determine cell/model scope; Snowflake extraction jobs run SQL through Databricks, with Blob Storage, validation, Medallion transformations, Power BI review, and Gold delivery to Ekimetrics. The operating model also requires end-to-end triage across MDFA, CDF, WPP, Data Foundation, Redmill, and market stakeholders rather than treating every discrepancy as a coding defect.

Key responsibilities:

• Independently design, develop, maintain, test, deploy, and optimize ingestion, validation, transformation, aggregation, data-quality, anomaly-detection, and extraction workflows
• Develop and tune Python/PySpark packages, SQL extraction queries, Databricks jobs, ADF pipelines, Delta tables, and source-to-target contracts
• Own technical readiness for new cells and refreshes: clarify filters and expected scope, implement or update queries, review mappings/configuration, reconcile outputs, and confirm readiness for business validation
• Investigate source, NCID, taxonomy, hierarchy, mapping, naming-convention, aggregation, missing-week, outlier, and performance issues across CDF, MDFA/PFME, APIs, manual files, and specific sources
• Coordinate technical validation cycles with Product, CMIA/markets, WPP/MDFA, CDF, other data providers, and Ekimetrics; convert reported discrepancies into actionable owners and technical evidence
• Drive complex incident resolution across pipelines, data contracts, access, service principals, secrets, networking, Power BI refreshes, and downstream delivery
• Review pull requests and test evidence; guide the Junior engineer and delegate scoped engineering/support work without becoming a people manager
• Maintain architecture documentation, interface contracts, repository documentation, runbooks, deployment procedures, and support/escalation guidance

• Recommend practical automation, reliability, performance, and maintainability improvements while respecting platform standards and business-validation ownership.

   

Must-have technical competencies:

• 5–6 years’ professional engineering experience with independent production ownership
• Strong Python, PySpark, and SQL, including complex transformations, query optimization, reusable packages, debugging, tests, and reconciliation
• Strong ETL/ELT and batch-pipeline engineering across relational warehouses, APIs, object storage, and file-based ingestion
• Experience with a cloud data lake/lakehouse, Medallion patterns, schema/interface contracts, data-quality controls, orchestration, observability, and incident recovery
• Solid Git engineering practices: branching, pull requests, reviews, automated tests, deployment controls, and documentation
• Proven ability to translate business/data requirements into filters, mappings, transformations, validation rules, and operational workflows

• Stakeholder-facing problem solving: explain discrepancies, challenge incomplete requirements, establish technical owners, and drive issues to closure.

   

Nice-to-have:

• Strong preference for Azure Data Factory, Azure Databricks, Databricks Jobs/API, Delta Lake, Snowflake, Azure Blob Storage/Data Lake, Power BI, GitHub, and Azure Key Vault
• Valuable experience with Pandera or equivalent schema-validation frameworks, Streamlit, Managed Identity/service principals, Azure Communication Services, Managed VNet/Private Endpoints, and Dev/Prod release practices
• Experience with PFME/media data, syndicated sales, marketing hierarchies, MMM inputs, or multi-market data onboarding is preferred but can be learned.

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Technical Coordinator / Solution Engineer to join our dynamic team on a full-time basis.

We are looking for a hands-on technical professional who will serve as the primary on-site technical expert, supporting deployment, configuration, automation, monitoring, and troubleshooting activities within a customer environment. This role is ideal for a specialist with strong infrastructure and operational experience who enjoys working independently while collaborating closely with remote engineering and product teams.

Responsibilities

• Install, configure, and support local server-side software components.
• Support local environment setup and configuration of server and viewer-related components.
• Manage and support secure data preparation, upload, and processing workflows.
• Develop and maintain basic orchestration and automation scripts.
• Monitor technical environments and proactively troubleshoot issues.
• Investigate problems related to setup, configuration, data uploads, processing steps, and environment stability.
• Maintain setup documentation, troubleshooting records, and operational procedures.
• Communicate effectively with remote product and vendor technical teams in English.
• Escalate product-specific, environment-related, and data-quality issues to appropriate technical stakeholders.
• Work predominantly on-site at the customer location in Kyiv, depending on project needs.
• Act as the main technical representative on-site while coordinating with remote support teams.

Requirements

Required Qualifications

• Strong experience working with Windows and/or Linux server environments.
• Proven experience installing, configuring, and supporting server-side or enterprise software solutions.
• Hands-on scripting experience with Bash, PowerShell, or Python.
• Experience creating and maintaining workflow automation and orchestration scripts.
• Strong background in deployment, configuration, monitoring, and troubleshooting of technical environments.
• Understanding of secure environments, access control, credential management, and sensitive data handling.
• Ability to read technical documentation and follow setup and design instructions.
• Experience collaborating with remote technical teams and participating in English-language meetings.
• Strong analytical and troubleshooting skills.
• Ability to work independently with minimal supervision.

Nice to Have

• DevOps or Infrastructure Engineering background.
• Experience with on-premises or hybrid infrastructure environments.
• Experience working with data processing workflows.
• Familiarity with visualization platforms, viewer/server environments, or similar technical systems.
• Basic knowledge of encryption and decryption workflows.
• Experience working with APIs and integrations.
• GIS, spatial data, or 3D visualization experience.
• Customer-facing technical support, consulting, or implementation experience.

Specific Requirements

• Must be based in Kyiv or willing to work primarily from Kyiv.
• Availability for regular on-site presence at the customer location.
• Comfortable working within a sensitive and secure customer environment.
• Openness to customer-side background or security screening if required.
• Ability to act as the primary hands-on technical specialist on-site.
• Strong sense of ownership, responsibility, and communication skills.
• Ability to properly identify, prioritize, and escalate issues when necessary.

What You Should Know

• This is not a pure software development role.
• This is not a project management role.
• The primary focus is hands-on technical execution, including setup, configuration, scripting, monitoring, troubleshooting, and operational support.
• Product-specific onboarding, documentation, API guidance, and training will be provided by the product/vendor team.

Benefits

• Paid Time Off — 36 paid days per year
• Training & Development opportunities

Partial medical compensation


 

We are seeking an experienced, data-driven CRM & Email Lifecycle Marketing Manager to lead email strategy and execution across our three consumer brands.

The primary responsibility of this role is to use email to acquire qualified subscribers and customers, convert prospects into paying customers, and reactivate inactive or former customers. This person will own the campaigns, automated journeys, audience segmentation, testing, deliverability, and performance analysis needed to achieve these goals.

The ideal candidate combines hands-on email execution with strong analytical and strategic thinking. You should be comfortable managing multiple brands and audiences, building automated journeys, coordinating campaign calendars, analyzing customer behavior, and researching tools and strategies that can improve results.

Key Responsibilities

• Develop and manage the email marketing and lifecycle strategy for all three brands.
• Create coordinated email campaign calendars aligned with promotions, seasonal opportunities, and business goals.
• Plan, build, test, schedule, and deploy acquisition, promotional, abandoned-checkout, onboarding, payment-recovery, re-engagement, and win-back campaigns.
• Develop strategies to grow qualified email lists and improve subscriber-to-customer conversion.
• Build and optimize automated email journeys based on customer behavior, engagement, purchase history, subscription status, and lifecycle stage.
• Create customer segments and personalize messaging, offers, content, timing, and frequency.
• Develop targeted programs to reactivate inactive subscribers, lapsed customers, former members, and abandoned prospects.
• Test subject lines, content, creative, offers, calls to action, audiences, send times, frequency, and journey timing.
• Manage deliverability, sender reputation, list hygiene, suppression rules, bounce rates, spam complaints, and inactive subscribers.
• Analyze campaign and customer data and translate findings into clear recommendations and measurable improvements.
• Research and evaluate email platforms, CRM tools, deliverability solutions, technologies, strategies, and service providers.

• Prepare regular performance reports and ensure campaigns are accurate, properly tested, and launched on schedule.

   

Success in This Role Will Be Measured By

• Growth in qualified email subscribers and email-generated customers.
• Improved subscriber-to-customer conversion rates.
• Increased reactivation of inactive, lapsed, and former customers.
• Growth in email-attributed revenue and revenue per recipient.
• Improved performance of automated customer journeys.
• Increased engagement, repeat purchases, retention, and customer lifetime value.
• Improved inbox placement and overall deliverability.
• Reduced bounce, unsubscribe, and spam-complaint rates.

• Consistent, accurate, and timely execution across all three brands.

   

About the Ideal Candidate

You are both an email strategist and a hands-on operator. You are comfortable developing strategy, building campaigns, creating customer segments, setting up automations, analyzing results, and troubleshooting deliverability issues.

You are highly organized, curious about customer behavior and email technology, and motivated by measurable results. You communicate clearly, demonstrate strong attention to detail, work independently, and take ownership of both execution and performance.

Position: Senior Full-Stack Engineer — Solana Low-Latency Copy-Trading (Node.js + React)

Level: Senior

Required Hard Skills

• 6+ years of Software Engineering experience
• Strong commercial experience with Node.js
• Strong experience with TypeScript (strict mode)
• Strong experience with React + TypeScript
• Experience with backend frameworks such as Nest.js, Express.js, Koa.js
• Strong understanding of React, including Hooks, Context, rendering behavior, and performance optimization
• Strong experience with state management tools such as Redux, MobX, Zustand, Recoil, or similar
• Strong software design knowledge: OOD, FP, design patterns, SOLID principles
• Practical hands-on experience with AI-assisted development tools such as Claude Code, Cursor, or similar
• Experience building low-latency, high-throughput, highly concurrent systems (real-time processing, hundreds+ of parallel operations)
• Experience working with external APIs and third-party data providers
• Strong understanding of RESTful APIs and GraphQL APIs
• Advanced experience with SQL databases, especially PostgreSQL (transactions, locking, idempotency)
• Experience with database performance optimization, indexing, query optimization, and handling large datasets
• Experience with async / batch processing, scheduled jobs, background workers, queues, retries, throttling, and rate-limit handling
• Hands-on experience with job / message queues such as BullMQ, Redis Streams, Kafka, RabbitMQ, Amazon SQS/SNS, or similar
• Experience with Docker and CI/CD processes
• Experience with AWS or similar cloud platforms (GCP, Azure)
• Experience building systems that require data validation, consistency checks, idempotency, and crash-recovery safeguards
• Understanding of trading, fintech, blockchain, or data-intensive financial systems
• Knowledge of Agile development practices, preferably SCRUM
• Proficient understanding of Git

Required Blockchain / Solana / Copy-Trading Experience

• Solid understanding of Solana internals: transactions, instructions, accounts, blocks/slots, commitment levels (processed / confirmed / finalized), blockhash lifetime, and reorg handling
• Hands-on experience with low-latency Solana execution / trading bots — landing transactions competitively (same-slot / “block-0”), priority fees, and MEV-aware submission
• Experience with real-time Solana data streaming: Yellowstone gRPC (Triton Dragon’s Mouth / Helius LaserStream) and/or shred-level feeds such as Jito ShredStream (awareness of DoubleZero Edge a plus)
• Experience with transaction submission & landing infrastructure: Jito (Block Engine / bundles / tips), Helius Sender, SWQoS (stake-weighted QoS), and specialist senders (0slot / Nozomi / bloXroute)
• Experience with blockchain data / RPC providers such as Helius, Triton, QuickNode, Alchemy, or similar, including multi-provider failover and rate-limit handling
• Familiarity with Pump.fun / PumpSwap: bonding-curve mechanics, AMM pricing, and building instructions from an on-chain IDL
• Understanding of trading metrics: entry/exit, market cap, slippage, hit rate, P&L, and per-position / portfolio risk
• Experience with crypto trading platforms, copy-trading systems, DEX / on-chain execution, or wallet automation
• Experience with secure key management at scale (HD wallet derivation, in-memory signing, secrets isolation) and capital-isolation / fail-safe design
• Experience with trading systems, bots, DeFi or high-throughput financial systems strongly preferred.

Would Be Great

• Experience writing performance-critical services in Rust (a native signing / execution hot-path is on the roadmap)
• Experience running leader-proximate bare-metal / colocation (Frankfurt / Amsterdam) and host/network tuning for latency
• Experience with Jito bundles, durable nonces, and transaction idempotency / reconciliation against chain
• Experience integrating CEX withdrawal APIs (Binance / MEXC / KuCoin) for programmatic funding
• Experience with observability tools such as Prometheus, Grafana, Datadog, Sentry, ELK, OpenTelemetry, or similar
• Experience designing systems with fallback providers, retry logic, throttling, circuit breakers, and API-usage monitoring
• Experience building HFT / MEV / market-making or other latency-sensitive financial systems

Responsibilities

• Build and maintain full-stack features for ARES, a private copy-trading bot for the Pump.fun / Solana ecosystem
• Design and implement the block-0 execution engine: real-time target detection, pre-trade gating, and same-slot buy submission across multiple routes
• Integrate low-latency detection (Yellowstone gRPC / Jito ShredStream) and submission (Helius Sender / Jito bundles / SWQoS / specialist senders) with multi-provider failover
• Build the wallet lifecycle & custody layer: provisioning isolated child-wallet pairs per task, funding, profit skimming, and drain-to-vault — under strict capital isolation
• Implement position & exit management (rule-driven take-profit, sell-after-inactivity, chase-sells) and the per-task kill-switch / risk protection
• Implement idempotency, durable intent, and crash / reorg reconciliation so no trade is ever double-executed at scale
• Build the operator dashboard (React): copy-task configuration, live task & health monitoring, controls (pause / resume / kill), and global safety limits
• Construct Pump.fun bonding-curve buys from the live IDL, with graduation gating and pre-trade safety checks
• Design controlled concurrency, batching, throttling, retries, and rate-limit handling to sustain 1,000+ tasks / ~2,000+ wallets
• Optimize the detect → decide → sign → submit → land path to maximize block-0 landing rate (KPI #1) and uptime / failover (KPI #2)
• Implement secure key management (HD derivation, in-memory signing) and secrets handling; enforce fail-safe defaults and an explicit kill switch on every execution path
• Collaborate with product, engineering, and domain stakeholders on trade-offs across latency, cost, and reliability; participate in architecture discussions
• Write clean, secure, maintainable, well-tested code (unit + e2e); conduct code reviews; maintain documentation; support production readiness
• Monitor system reliability, execution latency and landing rate, provider health, and data quality

English Level

Upper-Intermediate or higher

N-iX is looking for a Junior Data Engineer to join a data-focused team supporting the day-to-day operations and ongoing development of enterprise data solutions. This is a 6-month engagement with an opportunity to gain hands-on experience working with modern cloud data platforms, large-scale datasets, and production data pipelines.

You will work closely with experienced Data Engineers, contributing to pipeline maintenance, troubleshooting, onboarding new data sources, and implementing well-defined enhancements across the data platform. This role is ideal for engineers with 1-2 years of professional experience who want to deepen their expertise in data engineering and cloud technologies.

About the Role

As a Junior Data Engineer, you will help ensure the reliability and quality of data pipelines that support business-critical analytics and reporting. You'll participate in monitoring, troubleshooting, testing, and implementing data processing logic while following established engineering standards and delivery practices.

Under the guidance of senior team members, you will contribute to data ingestion processes, validation activities, technical documentation, and operational support, gaining exposure to modern technologies such as Azure, Databricks, PySpark, and Snowflake.

Responsibilities

• Monitor and support scheduled and event-driven data pipelines, data processing jobs, reporting refreshes, and data quality checks.
• Execute standard data ingestion and refresh activities from multiple sources, including APIs, CSV files, syndicated datasets, and configuration inputs.
• Implement well-defined Python, PySpark, and SQL changes, including new filters, transformations, mappings, validation rules, and minor pipeline enhancements.
• Perform schema validation, reconciliation checks, regression testing, and source-to-target data verification.
• Investigate pipeline failures, validation issues, missing data, rejected files, and reporting discrepancies.
• Troubleshoot first-line operational incidents using logs, job outputs, and monitoring tools.
• Escalate complex technical or business-data issues with clear diagnostic information and supporting evidence.
• Maintain technical documentation, deployment notes, runbooks, configuration files, and operational records.
• Follow established engineering practices, including Git workflows, pull requests, code reviews, testing, and deployment procedures.

• Support onboarding of new data sources and contribute to continuous improvement initiatives.

   

Requirements

• 1-2 years of professional experience in Data Engineering, ETL/ELT development, Analytics Engineering, or Data Support roles.
• Good working knowledge of Python and SQL.
• Understanding of data pipelines, data transformations, batch processing, and ETL/ELT concepts.
• Familiarity with relational databases and data warehouse concepts.
• Experience working with API integrations and file-based data processing (CSV, Parquet, etc.).
• Hands-on experience with Git, version control workflows, pull requests, and code reviews.
• Understanding of data quality principles, including validation, reconciliation, schema checks, and error handling.
• Ability to analyze logs, troubleshoot issues, and communicate findings clearly.
• Strong analytical and problem-solving skills.

• Intermediate or higher English level

  .

Nice to Have

• Experience with Azure Data Factory, Azure Databricks, PySpark, Snowflake, Delta Lake, Azure Data Lake Storage, or similar cloud data technologies.
• Exposure to modern data platform architectures, including Medallion (Bronze-Silver-Gold) data processing patterns.
• Familiarity with Power BI or other BI/reporting platforms.
• Knowledge of cloud environments and DevOps practices.
• Experience with data validation frameworks such as Pandera.

• Understanding of CI/CD pipelines and deployment processes.

   

What Makes You a Great Fit

• You enjoy working with data and solving technical problems.
• You are detail-oriented and take ownership of the quality of your work.
• You are comfortable working within established processes while continuously learning new technologies.
• You communicate clearly and collaborate effectively with technical and non-technical stakeholders.
• You are proactive, curious, and eager to grow your data engineering skills in a production environment.