Jobs at Djinni

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

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet:

• Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.
• Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
• Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.
• Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
• Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
• Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
• Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
• Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required skills:

• 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
• 2-3+ years of experience working with AWS services (Administration of Redshift is a must),
• Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
• Proficient in Python and SQL for data transformation and automation.
• Experience with dbt for data modeling and transformation.
• Good understanding of streaming architectures and micro-batching for real-time data needs.
• Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
• Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).
• Excellent communication and collaboration skills.
  Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
• A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:

• Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
• Languages: Python, SQL
• Orchestration: Airflow (MWAA)
• Modeling: dbt
• CI/CD: GitLab CI (including GitLab administration)
• Monitoring: Datadog, Grafana, Graylog
• Event validation process: Iglu schema registry
• APIs & Integrations: REST, OAuth, webhook ingestion
• Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

• Experience with additional AWS services: EMR, EKS, Athena, EC2.
• Hands-on knowledge of alternative data warehouses like Snowflake or others.
• Experience with PySpark for big data processing.
• Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).
• Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

Locations: Cyprus; Ukraine, Estonia; Bulgaria; Hungary; Latvia; Lithuania; Romania

We are seeking a passionate Full-Stack Software Engineer with extensive experience in PHP and JavaScript who loves engineering and the product development process. You will be responsible for developing new features, integrating systems, and optimizing and modernizing the existing codebase.

The ideal candidate has experience in:

- PHP 8.X, multiple frameworks and libraries;

- JavaScript from vanilla JS to React and ES14;

- HTML, CSS, SCSS, post-processing, scaffolding systems;

- relational databases, DB schema, and query optimization;

- Linux, Docker, CI/CD, Bash;

- software engineering principles, architecture patterns, application scalability, and low-latency system availability;

- experience with cloud platforms such as Azure;

- problem-solving skills;

- communication and collaboration skills.

You will be responsible for:

- develop, architect, and maintain SaaS applications using PHP and its frameworks;

- implement the frontend using JavaScript (from vanilla JS to modern libraries and frameworks), HTML, and SCSS;

- create and maintain RESTful APIs (SaaS and Proxy APIs);

- design and optimize database interactions (PostgreSQL, AWS DynamoDB);

- write clean, testable, efficient, and maintainable code;

- test and debug code to ensure the reliability and performance of applications;

- collaborate closely with founders and service teams to deeply understand our customers and users.

Seniority:

- university degree (non-course/academy; only technical university education);

- minimum of 7+ years of actual experience (non «freelance», no gaps, counting ONLY years after a university degree);

- your years in IT don’t guarantee your seniority;

- the slope of your learning is MORE important than your total years in IT, but don’t kid yourself;

- this job vacancy is not for newcomers/juniors/entry/majority-mid level, one framework developer, and ONLY for product development folks.

The position is ONLY for Ukrainian citizens. We don’t consider outsourcing, out-staffing, freelancing, or man-in-the-middle schemes, or part-time work; we only hire Core Team Members to the Core Team.

We are looking for a Senior Backend Engineer to join the Core Banking Services team and help build and scale a high-performance Banking-as-a-Service (BaaS) platform.
 

The team develops secure, highly available backend services that enable internal products and partner banks to manage customers, accounts, and core banking processes. You will work on distributed systems supporting critical financial operations, with a strong focus on scalability, reliability, security, and clean architecture.
 

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Node.js/TypeScript.
• Build and maintain REST APIs and event-driven services within a serverless AWS architecture.
• Work with AWS services such as Lambda, SQS, API Gateway, EventBridge, DynamoDB, and S3.
• Contribute to the design and evolution of distributed systems supporting core banking processes.
• Take part in architectural and technical decisions, solution design, and technical documentation.
• Collaborate with other engineering teams and external partners to define and manage system integrations and dependencies.
• Develop reliable and well-tested solutions, covering unit, integration, and system testing.
• Work with Infrastructure as Code and contribute to improving CI/CD pipelines and development processes.
• Participate in threat modeling and contribute to building secure and resilient services.
• Take ownership of production reliability, including participation in an on-call rotation, incident investigation, root-cause analysis, and hotfixes.
• Proactively identify opportunities to improve system performance, reliability, and engineering practices.
   

Requirements:

• 5+ years of commercial Java backend development experience.
• Strong hands-on experience with Node.js/TypeScript.
• Solid experience building distributed and event-driven systems.
• Strong practical experience with AWS, particularly serverless services such as Lambda, SQS, API Gateway, EventBridge, DynamoDB, and S3.
• Experience with Infrastructure as Code, preferably Terraform and/or AWS CDK.
• Good understanding and practical application of software design patterns and clean architecture principles.
• Experience with RESTful API design and OpenAPI.
• Strong testing experience, including unit and integration testing.
• Experience working with event-driven architectures and messaging technologies such as Kafka.
• Strong problem-solving and analytical skills.
• Ability to take ownership of technical solutions and work independently.
• Excellent communication and collaboration skills.
• Fluent English.

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

About AIstats

AIstats is transforming the football data market by moving from 2D to 3D, powered by a cutting-edge Computer Vision and Machine Learning ecosystem that unlocks deep insights for both fans and professionals.

In 1.5 years, the Warsaw-based startup has grown from $0 to $3M ARR and secured over $2M in funding. As an AI-first startup, we’re looking for passionate builders who want to create something big and shape the future of football intelligence with us.
 

What we build

Advanced Football Analytics — a mobile app for football fans and bettors that reached 100k MAU in less than a year, featuring advanced statistics powered by our proprietary ML and Computer Vision technologies.

Advanced Analytics for Football Clubs — a next-generation analytics platform helping football clubs, scouts, and agents make smarter decisions both on the pitch and in the transfer market. Thanks to our early leadership in skeletal tracking data, AIstats secured several Tier-1 club partnerships within months of launching the platform.
 

Responsibilities

• Design, build, and maintain ETL/ELT data pipelines
• Develop and optimize schemas in PostgreSQL and ClickHouse
• Build Python backend services for data processing and delivery
• Integrate external data sources (APIs, streams, files)
• Optimize query performance on large datasets
• Manage data infrastructure on cloud (GCP / AWS / Azure)
• Ensure data quality, integrity, and consistency
   

Requirements

• Strong Python (3+ years in production)
• Solid SQL and experience with analytical databases (PostgreSQL, ClickHouse)
• Hands-on experience with GCP / AWS / Azure or Kubernetes
• Experience designing data pipelines and handling large data volumes
• Familiarity with Git and CI/CD
   

Nice to Have

• Event-driven systems and message brokers (Kafka, RabbitMQ)
• Temporal or similar (Airflow, Prefect, Dagster)
• Basic TypeScript
• Docker / Kubernetes in production
• Sports or analytics domain experience
   

What we offer

• Fully remote work format;
• Flexible start of the working day and convenient schedule;
• Stable competitive salary pegged to the USD;
• 24 days of paid vacation and 15 additional paid days off (including sick leave, corporate holidays, and national/religious holidays);
• Friendly communication culture, great product, and transparent processes;
• Dynamic work environment with a passionate team that loves sports and technology;
• Opportunities for professional growth and career development;
• No micromanagement — just trust, autonomy, and freedom to experiment.
   

Join our team and help drive innovation in the football industry!

Role Summary

Primarily frontend-focused: 70% Angular / 30% .NET backend.

Mid Full Stack Developer (.NET / Angular) for an international Ukrainian–Israeli team building a data-driven product in the sports betting domain (African market), with future plans to expand into banking solutions. 

Location: Remote (Ukraine)

Employment: Full-time, long-term

Seniority: Middle / Middle+ (2–4 years commercial experience)

About the Team

You will join an international Ukrainian–Israeli development team working on a data-driven product in the sports betting domain (African market), with future plans to expand into banking solutions.

Role Purpose

This role is focused primarily on frontend development with approximate workload distribution: 70% frontend / 30% backend.

Responsibilities

• Develop and maintain backend and frontend services using .NET 5/Angluar 16
• Develop system integrations with third party providers (SMS. email, payment systems)
• Work with MS SQL databases (data modeling, performance optimization, changes management)
• Experience with Agentic.ai
• Participate in system architecture discussions and technical decisions
• Collaborate closely with the Team Lead and development team
• Take ownership of assigned components and ensure their stability in production
• Participate in estimation, planning, and Jira-based workflows
• Be available for paid on-call duty on weekends (emergency response within 1 hour, approximately 1-2 per month)

Technical Requirements

Must-have

• Angular 16
• Ionic
• .NET 5
• MS SQL
• understanding of backend architecture and data flows
• Experience working in production systems
• English B2+
  • Experience with Claude and agentic development

Nice-to-have

• RabbitMQ
• AWS
• Python

Full Time – Remote

ReciMe is a recipe app revolutionizing how cooks organize, plan and shop their recipes. Our smart importing tool enables users to aggregate all their recipes in one platform within seconds - whether those recipes came from an Instagram video, recipe blog or grandma's recipe box.

Now, we're looking for a Data Engineer to join our team!

Someone who is obsessed with turning messy data into a single source of truth & analyzing the data.

You'll start by owning our Marketing BI stack — unifying spend, attribution, pLTV, and revenue across every channel — and grow into supporting product analytics, experimentation, and broader data infrastructure as we scale.

🚀 What You'll Do

- Work with the senior leaders in the marketing & product teams very closely on designing and building our data infrastructure end to end.

- Build new system for our performance marketing team to analyse data

- Ingest predicted LTV figures by ad set / campaign and correspond that to marketing spend. Break this down by geo, ad platform

- Pull data from MMPs, ad platforms, revenue sources

- Help with data analysis on more complex data topics like predicted LTV, long term ROAS

- Own data accuracy — troubleshoot discrepancies across attribution, network, revenue, and product data sources.

- Maintain and iterate on dashboards and pipelines as new channels, campaigns, products, or data sources are added.

- Over time, expand into product data — supporting analytics, experimentation, and data tooling for the product team as we grow.

💪 What You Bring

- You're curious, analytical, and obsessed with data quality — you love digging into discrepancies, chasing down why numbers disagree, and building systems that tell the truth.

- Experience building data pipelines and BI dashboards

Strong SQL and experience with modern data warehouses (e.g. Snowflake)

- Comfortable integrating with third-party APIs — ad networks, attribution platforms, payment providers, or product analytics tools.

- You have a bias for action: you ship fast, break things carefully, and iterate as new channels and data sources come online.

- You're organized, proactive, and love collaborating across marketing, product, and engineering.

- Nice to have: experience with building pLTV modeling for subscription based apps

🤝 Details

Full-time role

Location: Remote

Competitive salary

Paid time off

International team offsite (yearly)

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.

We are looking for a Medior/Senior Linux Infrastructure Engineer to join a long-term project supporting a large-scale enterprise IT environment.

In this role, you will be responsible for the operation, maintenance, and continuous improvement of Linux-based infrastructure, with a strong focus on system stability, performance, automation, and reliability.

You will work primarily with Linux (Ubuntu/Debian), Ansible, VMware, and infrastructure automation, while also supporting containerized environments and participating in incident resolution and infrastructure improvements.

Responsibilities

• Operate and maintain Linux-based infrastructure, primarily Ubuntu and Debian
• Ensure high availability, stability, security, and performance of infrastructure systems
• Automate configuration management, deployments, and system provisioning using Ansible and Infrastructure as Code practices
• Support and administer VMware-based virtualized environments
• Troubleshoot infrastructure and system issues and drive incidents through resolution
• Perform root cause analysis and implement preventive improvements
• Support infrastructure changes, upgrades, and system optimization
• Work with containerized workloads using Docker and/or Kubernetes
• Develop and maintain automation scripts using Bash and/or Python
• Work with monitoring and logging solutions to identify and resolve infrastructure issues
• Maintain technical documentation and contribute to knowledge sharing within the team

Requirements

• Strong hands-on experience with Linux system administration
• Practical experience with Ubuntu, Debian, or similar Linux distributions
• Hands-on experience with Ansible for infrastructure and configuration automation
• Experience administering VMware environments such as vSphere, ESXi, or vCenter
• Understanding of Infrastructure as Code (IaC) and infrastructure automation practices
• Good troubleshooting and problem-solving skills
• Basic understanding of networking concepts such as TCP/IP, DNS, routing, and firewalls
• Experience with Bash and/or Python scripting
• Familiarity with Docker and/or Kubernetes
• Experience with monitoring and logging tools
• Ability to independently investigate and resolve infrastructure incidents
• Strong documentation and knowledge-sharing skills
• Proactive, self-driven, and team-oriented approach
• Good communication and time-management skills
• Fluent English

Nice to Have

• Experience working in large-scale enterprise infrastructure environments
• Experience with Terraform or other Infrastructure as Code tools
• Advanced Kubernetes experience
• Experience with production monitoring and observability tools such as Prometheus, Grafana, Zabbix, or ELK
• German language skills

Tech Stack

Linux (Ubuntu/Debian) • Ansible • VMware • IaC • Bash/Python • Docker • Kubernetes • Networking • Monitoring & Logging

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
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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