Jobs at Djinni

Equals 5 is a platform for managing advertising campaigns across digital channels: Meta, LinkedIn, Programmatic, etc. We build data infrastructure on GCP and process campaign statistics in BigQuery and ClickHouse.

We are looking for an Integration Team Lead to own our ad-platform integrations: the architecture, a team of 2–4 engineers, and the roadmap. Fully remote (EU timezones), reporting directly to the CTO.

What you'll do

• Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk)
• Lead a team of 2–4 engineers: code reviews, sprint planning, mentorship
• Design and maintain data pipelines from ad platform APIs to BigQuery/ClickHouse via Cloud Run Jobs
• Ensure data sync reliability: monitoring, alerting, error handling, retry strategies
• Work with API rate limits, OAuth flows, and webhooks across advertising platforms
• Drive new integration projects from API evaluation to production rollout
• Prioritize the integration roadmap together with the product team

Tech stack: Python 3.11+, GCP (Cloud Run, Cloud SQL, GCS), BigQuery, ClickHouse, PostgreSQL, Grafana, Cloud Build, Docker, Claude Code.

Must have

• 5+ years in backend/data engineering
• Strong Python: production-grade code with error handling, logging, and tests
• Experience leading a team of 2+ engineers
• Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution
• Experience with GCP or a comparable cloud at the service design level
• Experience integrating third-party APIs: rate limits, OAuth flows, webhooks, async reports
• Comfortable using AI coding assistants (Claude Code, Cursor, Copilot) in daily work

Nice to have

• Hands-on experience with Meta Marketing API or LinkedIn Marketing API: breakdowns, attribution windows, async reports
• Workflow orchestration platforms: Airflow, Prefect, Temporal
• BigQuery and/or ClickHouse
• The Programmatic ecosystem: DV360, The Trade Desk, OpenRTB
• Advertising metrics: impressions, clicks, conversions, ROAS, attribution models

How we work

We use Claude Code across the whole development workflow: writing and reviewing code, debugging production issues, designing system architecture. You will help the team shape these practices. We value ownership of your pipelines in production, pragmatism, transparency, and systems thinking: you see the full chain from API ingestion to the end-user dashboard.

What we offer

• Fully remote with flexible hours (EU timezones for syncs)
• Direct influence on technical strategy: you report to the CTO, with no layers between you and technical decisions
• Claude Code licenses and AI tooling as standard practice
• A small team where decisions are made fast

Interview process

1. Intro call (30 min): get to know each other, align on expectations
2. Technical interview (90 min): integration architecture, API experience, data pipeline design
3. Culture fit interview with PM

✨ About Us

We are a product-first fintech company that develops and scales our own global financial ecosystem. Our ecosystem combines cutting-edge technology with seamless services to deliver powerful financial tools for businesses.

While many of our core products are established and undergoing active support and continuous enhancement, we are far from standing still. We are constantly evolving, refining our existing architecture, and venturing into dynamic new internal startups to stay ahead of the market.
 

🧬 Our Values: R E S P E C T

We build our culture around core principles that help us grow together:

• Responsibility — We own our decisions and their outcomes.
• Engagement — We are deeply involved and care about the product's success.
• Solutions, not problems — We focus on fixing paths, not just pointing out obstacles.
• Proactivity — We act ahead of time, anticipating needs.
• Exploration of ideas — We stay curious, test hypotheses, and welcome innovation.
• Collaboration — We achieve more by working together openly.
• Team — We support each other and win as one.
   

👤 Who We Are Looking For

We are looking for a tech-savvy, calm, and analytical DevOps Engineer who is genuinely interested in building solid, sustainable processes rather than just "putting out fires."

You are our ideal candidate if you:

• Are genuinely passionate about system architecture and love digging deep into technical details to find the most efficient solutions.
• Value automation over manual fixes — you aim to build systems that prevent issues from occurring in the first place.
• Are a self-driven, responsible professional who is not afraid to ask the right questions, explore unchartered territory, and support colleagues when needed.
   

🛠️ Technical Stack (3+ years of experience required):

• Orchestration & Management: Kubernetes, Helm ☸️
• IaC & CaC: Terraform (AWS), Ansible 🤖
• CI/CD: Jenkins (strong Groovy knowledge is a must), GitLab CI/CD 🏗️
• Monitoring & Logging: Prometheus, VictoriaMetrics, Grafana, ELK stack 📊
• Core Systems: Advanced Linux administration, Bash, Python 🐍🐧
• Networking & Security: IP networking, routing, VPNs, DNS, Load Balancing, Cloudflare 🌐🔒
   

🚀 Key Responsibilities:

• Collaborate closely with development and QA teams to optimize development, staging, and testing environments.
• Manage, scale, and enhance our AWS cloud infrastructure and ecosystem components.
• Design, implement, and maintain robust build, deployment, and configuration management processes.
• Troubleshoot and resolve complex infrastructure and deployment issues, performing root-cause analysis.
• Build and maintain reliable automation tools for infrastructure provisioning and continuous integration.
• Ensure the high availability, scalability, and ultimate stability of all system environments.
• Monitor system metrics, predict capacity issues, and proactively identify areas for architectural improvement.
• Establish, maintain, and monitor configuration and security standards across the ecosystem.
• Maintain comprehensive, clear, and up-to-date project and infrastructure documentation.
   

🎯 Nice to Have:

• Prior experience in the FinTech domain (understanding financial security compliance is a plus).
• Experience with on-premises-like infrastructures and virtualized environments.
• Hands-on experience with alternative cloud/VPS providers (e.g., BitLaunch).
• Relevant DevOps certifications (AWS, CKA/CKAD, etc.).
   

What We Offer 💼

• Work-Life Balance: 20 days of paid vacation and 10 days of paid sick leave annually (no medical certificate required). 🏖️
• Annual Benefit Cafeteria: A dedicated yearly budget for your personal growth and well-being. Spend it on sports, wellness, healthcare, or professional training — you choose what matters most. 🧘🎓
• Equipment Allowance: We value the tools you use. To cover the wear and tear of your own hardware, we provide a monthly compensation for using your personal equipment. 💻
• Growth & Feedback: Structured annual Performance Reviews to support your career progression and discuss your development. 📈
• Social & Team Fun: Engaging online team-building events with food and drinks delivery — we stay connected no matter where we are. 🍕🥂
• Full Financial Support: Comprehensive FOP (3rd group) tax compensation and accounting support. 📑
   

Ready to shape the future of Fintech? Join us on this journey and bring your DevOps expertise to our dynamic team!

Middle Developer

Role Description

We are looking for a Middle Software Developer to join our R&D team and contribute to the development of innovative products and technologies. In this role, you will participate in the full software development lifecycle, from researching and validating new ideas to implementing, testing, and supporting production-ready solutions.

The ideal candidate is capable of independently delivering medium-complexity features, taking ownership of their work, and proactively proposing improvements to products and development processes. You will collaborate closely with Product Owners, engineers, and other stakeholders to transform business and technical requirements into reliable software solutions.

This position requires a strong engineering mindset, a passion for learning new technologies, and the ability to rapidly build prototypes and proof-of-concepts using modern development tools, including AI-assisted technologies. You will be expected to contribute not only through coding but also through technical discussions, code reviews, and continuous improvement initiatives.

Main Responsibilities

• Full-time participation in product development
• Research and evaluate new technologies, frameworks, and implementation approaches
• Develop prototypes and proof-of-concepts for new ideas and use cases
• Design and implement new features using modern technologies and best practices
• Maintain and support developed features throughout their lifecycle
• Write clean, maintainable, and efficient code
• Participate in code reviews and provide constructive feedback
• Investigate and fix defects and production issues
• Collaborate with Product Owners, QA Engineers, Designers, and other stakeholders
• Contribute to technical discussions and architecture decisions

• Create and maintain technical documentation where necessary

   

Required Skills

Programming Languages

• Strong proficiency in C#

• Good proficiency in TypeScript

   

Software Development

• Understanding of object-oriented design principles (SOLID)
• Experience with modern software development practices
• Knowledge of design patterns and when to apply them
• Experience with REST APIs and client-server architectures
• Ability to troubleshoot and debug complex issues

• Understanding of software testing principles

   

DevOps & CI/CD

• Understanding of CI/CD pipelines and automated deployments
• Experience using Git and common branching strategies

• Familiarity with build and release processes

   

AI & Rapid Prototyping

• Experience using AI-assisted development tools (ChatGPT, GitHub Copilot, Claude, etc.)

• Ability to rapidly create prototypes and validate concepts

   

Soft Skills

• Strong problem-solving skills
• Proactive mindset and willingness to propose improvements
• Good communication skills
• Ability to work independently with limited supervision

• Ability to estimate and plan own work

   

Nice-to-Have Skills

Programming & Technologies

• Python development experience
• Experience with Angular or React
• Experience with cloud platforms (AWS)
• Understanding of microservices architecture

DevOps

• Experience creating and maintaining CI/CD pipelines
• Infrastructure as Code experience

Embedded & Hardware

• Experience with microcontroller or microcomputer development
• Experience with Raspberry Pi, Jetson, STM32, ESP32, or similar platforms
• Basic electronics and hardware integration knowledge

Additional Advantages

• Experience with Agile/Scrum methodologies
• Experience mentoring junior developers
• Technical writing/documentation skills

What We Offer:

• Official employment with full compliance with Ukrainian labor law and all associated benefits
• Military service reservation (deferment)
• Flexible working hours within a standard Monday–Friday schedule (10:00 AM–6:00 PM)
• A modern and comfortable office in Vinnytsia
• A supportive team and a stable, long-term opportunity.

Project Description:

A leading provider of drilling fluid, solids control, and waste management solutions that support well construction and industrial drilling operations. Its technologies are designed to improve drilling efficiency, maintain wellbore stability, optimize fluid performance, manage drilling waste, and protect reservoir integrity. The portfolio includes water-based, synthetic-based, and nonaqueous fluid systems, as well as equipment and services for solids separation, fluid recovery, and environmental compliance. These solutions are widely applied in oil and gas, geothermal, mining, water well, horizontal directional drilling, and civil engineering projects.

Responsibilities:

• Develop predictive models to optimize drilling performance, fluid properties, and operational efficiency.
• Analyze real-time drilling and sensor data to detect anomalies, reduce nonproductive time (NPT), and improve wellbore stability.
• Build machine learning solutions for forecasting drilling risks, lost circulation events, equipment failures, and fluid losses.
• Design data pipelines and dashboards that integrate operational, geological, and engineering data for decision support.
• Apply statistical analysis and advanced analytics to identify performance trends and recommend process improvements.
• Develop digital solutions for drilling fluids monitoring, solids control optimization, and waste management efficiency.
• Collaborate with drilling, fluids, and operations engineers to translate business challenges into data-driven solutions.
• Implement data quality, governance, and validation frameworks to ensure reliable operational analytics.
• Create visualization tools and KPIs for tracking drilling performance, fluid system effectiveness, and cost optimization.

Mandatory Skills Description:

• Strong proficiency in Python and SQL for data analysis, machine learning, and data engineering.
• Experience with machine learning algorithms, predictive analytics, and statistical modeling.
• Expertise in data visualization tools such as Power BI, Tableau, or Plotly.
• Experience processing large-scale time-series, sensor, and operational data.
• Knowledge of cloud platforms (Azure, AWS, or GCP) and big data technologies.
• Strong understanding of data pipelines, ETL processes, and data quality management.
• Experience with anomaly detection, forecasting, and predictive maintenance applications.
• Solid understanding of statistical analysis, hypothesis testing, and experimental design.
• Ability to develop and deploy machine learning models in production environments.
• Experience working with cross-functional engineering and operations teams.
• Strong problem-solving, communication, and stakeholder management skills.

Nice-to-Have Skills Description:

• Experience analyzing real-time drilling, completions, or industrial operational data.
• Knowledge of drilling fluids, solids control, wellbore stability, and drilling performance KPIs.
• Understanding of IoT, telemetry, SCADA, and sensor-based monitoring systems.
• Experience building predictive models for operational risk reduction and performance optimization.
• Familiarity with digital transformation initiatives in energy, manufacturing, mining, or heavy industry environments.
• Ability to translate engineering challenges into scalable data science solutions.

Languages:

English: B1 Intermediate

We are looking for a  Partner Account Manager (Spanish-speaking). This role sits at the intersection of relationship-building and business growth — you will own a portfolio of Spanish-speaking partners, directly influencing how they perform, scale, and succeed on our platform. We operate in a fast-moving, international environment across LATAM, MENA, and CIS markets, where decisions are made quickly and the impact of your work is visible from day one. If you thrive on ownership, care about results as much as relationships, and want development — this is your kind of challenge.

About our product: We are a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale — fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

In this role, you will

• Build and maintain long-term relationships with Spanish-speaking partners across assigned markets
• Manage and support a portfolio of partners, ensuring consistent performance and engagement
• Work with warm leads and onboard new partners in close collaboration with the inbound team
• Support partner growth and development to increase overall project revenue
• Analyze partner performance and identify opportunities to improve engagement and results
• Provide partners with tailored recommendations and best practices to help them scale on the platform

• Collaborate with internal teams to ensure a high-quality partner experience and a safe ecosystem for users

   

It's all about you

• 2+ years of experience in a client-facing role — Account Manager, Business Development, Customer Success, Sales, or Affiliate Manager
• Spanish at B2 level and English at B1+
• Strong relationship-building and communication skills when working with partners or clients
• Results-driven, client-focused approach with a genuine sense of ownership
• Excellent time management and prioritization skills

• Ability to work independently, structure information effectively, and stay on top of multiple priorities at once

   

Would be a plus

• Familiarity with analytics platforms such as Tableau or Amplitude, strong analytical mindset and problem-solving skills
• Experience working with CRM tools
• Proficiency with AI tools such as ChatGPT, Claude, or Canva

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Test task
• Reference check
• Offer

Department/Project Description

For more than 15 years, GlobalLogic has partnered with businesses across every major industry to make amazing products and connect the dots between people, products, and business opportunities. Now, in an increasingly digital world that places the consumer at the center of every interaction, GlobalLogis is helping businesses to depict how they can connect the dots back to consumers, innovate within predictable budgets, and bring the next generation of digital products and services to market.

As a team, we are looking for experienced and ambitious people who are ready to take projects under control and be responsible for the successful delivery on time within budget and scope. A successful candidate should have a background in business skills, management, budgeting, and analysis, as well as be skilled at getting the best out of the people and projects that they oversee.

If you speak Japanese and English and have any project management experiences or willing to lean towards such career path this opportunity may find you well. In GlobalLogic we work extensivelly with Hitachi Japan engineering teams hence we are looking for people who have proven Japanese and English speaking skills to help us set-up engineering teams to build long term partnership and provide product content.

Must have:

• Written and spoken Japanese language proficiency (equivalent of JLPT N1 or N2, it is not mandatory to have an official JLPT certification)
• Written and spoken English language proficiency (equivalent of B2 or higher)
•  Hands-in experience in IT project management - best in the area of software development life cycle
• Proven track record of working closely with customers across multiple SDLC stages
• Proven communication and interpersonal skills to fascilitate working between Japan and CEE based teams
• Ability to make decisions with a limited amount of information
• Ability to guide the team through uncertainty and complexity to deliver agreed content

• Self-reliant

   

Job Responsibilities

• Develop, execute and maintain project plans, deliverables, and project documentation.
• Elicit, analyse, document, and validate business and functional requirements.
• Facilitate workshops and meetings with stakeholders to clarify business needs and priorities.
• Translate business requirements into actionable specifications for the delivery team.
• Establish and maintain trusted and effective communication with the customer, stakeholders, and GlobalLogic project teams.
• Tailor project delivery processes to ensure high-quality outcomes.
• Monitor, manage, and mitigate project risks, issues, and dependencies.
• Manage distributed project teams throughout the project lifecycle.
• Support backlog refinement, scope management, and change request assessment.
• Ensure alignment between business objectives, project scope, and delivered solutions.
• Identify opportunities for process and solution improvements.
• Report project status, risks, and key challenges to stakeholders in a clear and structured manner.

Department/Project Description

For more than 15 years, GlobalLogic has partnered with businesses across every major industry to make amazing products and connect the dots between people, products, and business opportunities. Now, in an increasingly digital world that places the consumer at the center of every interaction, GlobalLogis is helping businesses to depict how they can connect the dots back to consumers, innovate within predictable budgets, and bring the next generation of digital products and services to market.

As a team, we are looking for experienced and ambitious people who are ready to take projects under control and be responsible for the successful delivery on time within budget and scope. A successful candidate should have a background in business skills, management, budgeting, and analysis, as well as be skilled at getting the best out of the people and projects that they oversee.

If you speak Japanese and English and have any project management experiences or willing to lean towards such career path this opportunity may find you well. In GlobalLogic we work extensivelly with Hitachi Japan engineering teams hence we are looking for people who have proven Japanese and English speaking skills to help us set-up engineering teams to build long term partnership and provide product content.

Must have:

• Written and spoken Japanese language proficiency (equivalent of JLPT N1 or N2, it is not mandatory to have an official JLPT certification)
• Written and spoken English language proficiency (equivalent of B2 or higher)
•  Hands-in experience in IT project management - best in the area of software development life cycle
• Proven track record of working closely with customers across multiple SDLC stages
• Proven communication and interpersonal skills to fascilitate working between Japan and CEE based teams
• Ability to make decisions with a limited amount of information
• Ability to guide the team through uncertainty and complexity to deliver agreed content

• Self-reliant

   

Job Responsibilities

• Develop, execute and maintain project plans, deliverables, and project documentation.
• Elicit, analyse, document, and validate business and functional requirements.
• Facilitate workshops and meetings with stakeholders to clarify business needs and priorities.
• Translate business requirements into actionable specifications for the delivery team.
• Establish and maintain trusted and effective communication with the customer, stakeholders, and GlobalLogic project teams.
• Tailor project delivery processes to ensure high-quality outcomes.
• Monitor, manage, and mitigate project risks, issues, and dependencies.
• Manage distributed project teams throughout the project lifecycle.
• Support backlog refinement, scope management, and change request assessment.
• Ensure alignment between business objectives, project scope, and delivered solutions.
• Identify opportunities for process and solution improvements.
• Report project status, risks, and key challenges to stakeholders in a clear and structured manner.

c3 is a research-led startup based in London and Kyiv. We are expanding our team and research and are seeking an RF engineer as part of this expansion. 

Requirements

• Strong background in RF sensing and wireless signal processing: channel state information (CSI), RSSI, multi-carrier/OFDM systems, amplitude/phase extraction, multipath, and the physics of RF propagation.
• Hands-on experience with real RF/wireless hardware data. You should have dealt with noisy channel estimates, phase instability, hardware/carrier frequency offsets, antenna effects, calibration drift, and the gap between clean lab captures and messy real-world signals.
• Strong understanding of RF signal-to-information inversion: extracting physical meaning from raw wireless measurements, and reasoning rigorously about what is and isn't recoverable from a given signal.
• Experience solving temporal sensing problems: detecting sustained change in a physical environment against a learned baseline, and separating genuine events from transient or cyclical confounders.
• Familiarity with the electromagnetic behaviour of materials (attenuation, permittivity, frequency-dependent effects, multi-band sensing) is highly valuable.
• Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.
• Experience with classical estimation alongside ML — Kalman/particle filtering, Bayesian inference, change-point detection, or equivalent — not only deep learning.
• Experience with signal-processing toolchains (NumPy/SciPy, spectral analysis, filtering) and, ideally, embedded RF platforms (ESP32, SDR, Nordic, or similar).
• Experience with synthetic data generation / physical simulation for augmentation and controlled failure-case generation.
• WiFi sensing, radar, RF localization, IoT sensing, wireless communications, or defence signals experience is highly relevant.
• Fluent English.
• Kyiv-based preferred; hybrid or remote considered.

What you will do

• Build robust detection pipelines that extract a reliable physical signal from cross-link RF data while remaining insensitive to everyday environmental variation.
• Handle noisy channel estimates, phase drift, packet loss, hardware offsets, and differences between devices and deployments.
• Build temporal detection and classification that distinguishes genuine sustained events from transient activity, environment-wide confounders, and cases of insufficient evidence.
• Develop confounder-rejection reasoning so that environment-wide effects are not misclassified as localized events.
• Build multi-band and cross-link inversion using physical models and learned features, followed by robust localization.
• Define confidence / failure detection for detection and localization results rather than forcing a result from bad signals.
• Develop event classification and severity scoring once the underlying signal is sufficiently reliable.
• Create synthetic perturbations and physics-based generated training/evaluation data covering known failure modes.
• Own evaluation against ground truth, including detection rate, false-positive/negative rate per unit-time, localization accuracy, timing error, and uncertainty calibration.
• Evaluate alternative sensing representations and fusion approaches — including multi-band spectral methods, time-of-flight techniques, and integration with external contextual data — where they materially improve fidelity.

Responsibilities

  Migration & Translation

  - Analyze existing SQL Server stored procedures that feed SSRS reports — catalog business logic, conditional transformations, and reporting-specific edge cases

  - Translate stored procedure logic into dbt models (staging, intermediate, and mart layers) using idiomatic SQL and dbt best practices

  - Design the Snowflake schema architecture (raw, staging, marts) aligned with dimensional modeling principles

  Ingestion & Pipeline Design

  - Configure and manage Fivetran connectors for MSSQL source replication into Snowflake raw layer

  - Define sync cadence, schema drift handling, and incremental vs. full-load strategies per source table

  - Coordinate with internal engineers managing the existing Go-based ETL to plan cutover and parallel-run periods

  dbt Development & DataOps

  - Build a production-grade dbt project: models, tests, documentation, sources, exposures, and freshness checks

  - Implement data quality testing (schema tests, custom singular tests, row-count reconciliation against legacy outputs)

  - Establish CI/CD for dbt (slim CI on PR, scheduled full builds) integrated with Git workflows

  Validation & QA

  - Design and execute output parity validation between legacy SSRS reports and new Snowflake-based models

  - Build reconciliation dashboards or automated comparison queries to catch drift during parallel-run

  - Document edge cases, assumptions, and any logic gaps surfaced during migration

  Governance & Observability

  - Implement RBAC and row-level security in Snowflake aligned with existing access patterns

  - Establish data lineage visibility via dbt docs and/or integration with observability tooling

  - Define and enforce naming conventions, model layering standards, and code review practices

  Required Qualifications

  - 5+ years working with SQL Server (T-SQL), including complex stored procedures and SSRS

  - 3+ years with Snowflake (schema design, performance tuning, warehouse sizing, access control)

  - 2+ years building production dbt projects (models, tests, macros, packages, CI/CD)

  - Hands-on experience with Fivetran (connector configuration, sync management, schema handling)

  - Deep understanding of dimensional modeling and data mart architecture

  - Strong knowledge of where SQL Server and Snowflake SQL diverge (window functions, date handling, CTEs, semi-structured data, MERGE behavior)

  - Excellent documentation skills — commented models and clear decision records are part of the deliverable

  Preferred Qualifications

  - Experience migrating SSRS reporting logic to a modern BI layer (Looker, Power BI on Snowflake, or Sigma)

  - Familiarity with Go, particularly for understanding existing ETL transformation logic

  - Experience with data observability tools (Monte Carlo, Elementary, or dbt tests at scale)

  - Background in fitness/wellness, SaaS, or multi-tenant/franchise data environments

  - Experience running parallel-run validation (old system vs. new system side-by-side)

Manual QA Tester (Project-Based)

We're a small, bootstrapped product ecosystem — currently including a QR code generation SaaS platform, with additional products in active development. We're looking for a Manual QA tester to join our pool of trusted contributors: someone we bring in project by project, feature by feature, as new work comes up across our products.

This is not a fixed-hours role. There's no guaranteed weekly commitment. Instead, you'll be paid per project/feature you test, and — if it's a good fit on both sides — you'll be first in line when new work lands. Over time this can mean steady, recurring engagement; it just isn't structured as employment.
 

What You'll Do (per project)

• Perform regression, acceptance, GUI, smoke, and sanity testing as relevant to the feature, project or deployment
• Run test cases, checklists, and exploratory tests against a defined scope
• Report and track bugs (Jira, jam.dev)
• Update and improve test cases in Qase.io
• Communicate findings clearly with the product/dev team, with a clean handoff at the end of each project

Requirements

• Experience with manual QA testing (test design, bug reports, execution)
• Familiarity with Qase.io (or similar test management tools)
• Strong English
• Comfortable working independently within a defined scope, with minimal onboarding per project
• Kyiv timezone (UTC+2) or close

Nice to Have (But great as a bonus)

• API testing (Postman)
• Experience with AI tools (e.g. ChatGPT, Claude) for test case generation

Tools We Use

Qase.io • Jira • Slack • Toggl • Jam.dev

Work Setup

• Remote, project-based, flexible scheduling within each project's timeline
• Team communicates in English and Ukrainian
• Work spans multiple products in our ecosystem — expect some context-switching between projects rather than deep specialization in one product

Application Process

1. Video (1–2 minutes):
   • In English: What motivates you to be a QA tester?
   • In Ukrainian: What is your current career challenge, and what are you doing about it?
   • (Simple phone recording is fine. Share via Dropbox or similar.)
2. Resume review
3. Short paid test assignment (scoped, so you can see how we work and we can see how you work)

4. Decision & pool onboarding
---

Due to a large number of applicants and interest then we reserve the right to not follow up on applicants who do not follow submission guidelines.

N-iX is looking for Lead/Senior Software Engineer with Protocols to join our team. 

In this role, you will design real-time telemetry pipelines, integrate with datacenter power and compute systems, and implement control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. This role bridges IT and OT environments - turning raw operational data into safe, reliable, production-grade control systems.

As an early engineering hire, you’ll shape system architecture, own projects end-to-end, and work closely across teams to translate real-world constraints into scalable software. 

Key Responsibilities

• Build software modules that interact with datacenters, on-site industrial power systems and the electrical grid
• Architect and implement data ingest pipelines that collect, normalize, and persist high-frequency telemetry from power meters, PDUs, UPS systems, cooling infrastructure, and compute hardware.
• Design fault-tolerant integration layers between IT systems (cloud APIs, databases, orchestration platforms) and OT systems, handling protocol translation and data model definition and mapping.
• Ensure high safety, reliability, and correctness when interacting with real-world energy assets and critical facilities — including behavior in degraded, disconnected, or split-brain network states.
• Collaborate across teams to deliver end-to-end solutions from edge device to control plane.

Requirements

• 7+ years of software engineering experience, with strong proficiency in Python or C++
• Hands-on experience building telemetry ingest pipelines or distributed systems that handle high-volume, time-series data.
• Familiarity with at least one async messaging system: Kafka, RabbitMQ or equivalent
• Exposure to IT or OT systems (SCADA, EMS, BMS, DCIM) and understanding of how data flows between them.
• Experience with Kubernetes. 
• Direct experience with industrial telemetry protocols: Modbus TCP/RTU, DNP3, OPC-UA, BACnet, or SNMP.
• English: At least Upper-intermediate

Will be a plus

• Familiarity with time-series databases (InfluxDB, TimescaleDB, Prometheus) or industrial historian platforms (AVEVA PI / OSIsoft, Ignition).
• Experience with containerized deployments, or HPC job scheduling in datacenter environments.
• Experience with Rust, Go or C/C++. 

We offer*:

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

*not applicable for freelancers

We're building a modern accounting SaaS, think QuickBooks, but genuinely nice to use.

The stack is a forked Akaunting (Laravel) core with a custom Next.js frontend built by a separate dedicated frontend engineer. Your job is everything behind the API: extending Akaunting's models, building clean endpoints, handling accounting correctness (multi-currency, VAT, reports), integrations, and deployment.

We work AI-native- Claude Code, Cursor, and modern tooling are part of daily flow for maximal efficiency and speed.

Requirements:
Production Laravel, strong PHP 8+ and MySQL, sharp REST API instincts, and real comfort reading and extending large existing codebases (Akaunting is ~100k lines — greenfield-only devs won't enjoy this). You use AI coding tools (Claude Code, Cursor) as part of daily flow. Written English good enough for async work. Big pluses: Akaunting/Invoice Ninja/ERPNext experience, fintech or accounting domain knowledge, double-entry bookkeeping familiarity, EU VAT exposure.
 

• 2–4 years of experience in Project Management, Delivery Management, or Operations.
• Experience working with multiple teams and projects simultaneously.
• Understanding of the Software Development Life Cycle (SDLC).
• Understanding of Agile / Scrum.
• Experience working with Jira and Confluence.
• Understanding of project planning, dependencies, risks, and deadlines.
• Ability to work with stakeholders and coordinate cross-functional teams.
• Strong written and verbal communication skills.
• Strong organizational skills, attention to detail, and ability to manage large volumes of information.
• Proactive approach and ownership of results.
• English sufficient for working with documentation.

• Coordinate GEO setup from initiation to launch readiness.
• Create and maintain project plans, timelines, and Jira boards.
• Coordinate work across teams.
• Track deadlines, milestones, and dependencies.
• Identify risks and blockers and escalate them in a timely manner.
• Organize meetings and follow up on action items and agreements.
• Monitor launch readiness and ensure all required checklists are completed.
• Maintain up-to-date project documentation.
• Gradually take ownership of the end-to-end delivery of brand launches.

• Experience working in high risk field.
• Experience launching products.
• Understanding of Game Providers and game integrations.
• Technical background or experience working with IT products.
• Experience working with cross-functional teams.

• Flexible schedule and remote format or office in Kyiv / Warsaw — you choose.
• 20 paid vacation days, sick leaves, maternity leave, and health insurance (UA-/PLbased, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team buildings, and warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

The project

You will own the development of a capability for scientific models - a custom application we are building on the Datagrok platform for one of our pharma customers. It's a central place where scientists register, discover, run, and compare computational models. Models come from different teams, in different languages, with different inputs and outputs. Your job is to turn that into one coherent, fast, self-service experience.

This is not a ticket-driven role. You will "sit" with the customer's scientists, understand how they work, and translate that into working software.

Responsibilities:

• Develop clean, high-performance, well-documented, production-level code
• Own your backlog: prioritize, estimate, communicate status, and drive features from a conversation to production
• Talk directly to the scientists and computational modelers: run demos, gather requirements, challenge assumptions, propose better ways to solve their problems on the platform
• Contribute improvements back to the platform and public plugins where the project uncovers gaps

Requirements:

• Expert-level TypeScript: you've designed and shipped non-trivial TS applications or libraries in pre-LLM era
• Engineering range: building elegant solutions from scratch, evolving complex existing codebases, and contributing efficiently across the whole stack, UI to backend
• Past projects in scientific or life-sciences software, complex modeling, or scientific computing (e.g., simulation engines, computational tools, statistical modeling apps, numerical/HPC code, etc.)
• Fluent spoken and written English: you will be in customer-facing meetings weekly, presenting your work and negotiating scope with scientists
• Willingness to learn new scientific domains
• Demonstrated ability to self-manage: you've owned a project or major workstream end-to-end and can point to something that shipped because you drove it to completion

Nice to have:

• Scientific background (STEM / life sciences)
• Python, R, C++, or Julia (enough to read and integrate scientists' model code)
• Experience with ML development and/or model lifecycle tooling (model registries, MLflow-style tracking, workflow engines)

We offer:

• Fully remote work
• Excellent growth opportunities in a highly dynamic, unique product company
• Zero bureaucracy
• Paid trainings and certifications
• Competitive compensation