Jobs at Djinni

• The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.
  
  The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

   

• Responsibilities:

  Key Responsibilities/Accountabilities:
  - Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.
  - Knowledge of how a component fits into a larger ecosystem of products and services.
  - Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)
  - Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.
  - Perform research and development tasks.
  - Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.
  - Accomplishes engineering and organization mission by completing related results as needed.
  - Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

   

• Mandatory Skills Description:

  - Degree in Computer Science, Engineering, or equivalent. Master's preferred
  - Software Development Fundamentals
  - Strong understanding of Object-Oriented Design and Principles
  - 5+ years of professional experience with Java and Angular
  - Build & CI/CD: Git Ci/CD, Helm
  - Database background: Posgtess
  - REST API Express
  - Hapi
  - Self-motivated
  - Problem Solving skills
  - Works well within a team
  - Excellent communication skills

   

• Nice-to-Have Skills Description:

  - Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.
  - Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.
  - Testing: JEST, Karma/Jasmine, E2E testing with Protractor.
   MAVEN, Jenkins & Ansible, Containerization.
  - Cloud: Knowledge in cloud technologies (Azure and Amazon)

   

• Languages:

  • English: B2 Upper Intermediate

     

• Processing Steps

  CVR -> TI1(Java) -> TI2(Angular) -> PMI -> CLCVR -> CLI

• Developed product is the leading software system in Energy domain covering all aspects of Oil&Gas production from geological exploration to optimization of ongoing production. Our technology solution helps geologists and geophysicists to research, visualize and interpret large volumes of geological data.
  Our project is stable, long-term and constantly adopts new technologies such as Java 11, Cloud and GPU computing.
  Work supposes close cooperation with Customer team located in Houston and following Agile principles.
  Our team is senior, supportive and friendly.

   

• Responsibilities:

  - Learn technologies used on the project;
  - Explore existing code base;
  - Start performing project tasks.

   

• Mandatory Skills Description:

  - Strong Java Core;
  - Algorithms: sorting, optimization;
  - Upper Intermediate English.

   

• Nice-to-Have Skills Description:

  Experience in desktop applications development using Java.
  Git repository link of candidate's work would be helpful.

   

• Languages:
  • English: B2 Upper Intermediate

     Founded in 2015 in Ukraine, with a representative office in Estonia, Diya has grown into a global IT solutions provider and a proud part of Euvic Group. We help small and medium-sized businesses optimize operations, enhance security, and establish a strong digital presence. Over the past decade, we have built a reputation as a trusted technology partner, a Microsoft partner, delivering tailored IT solutions that drive efficiency, innovation, and growth.

     Diya is currently looking for a Technical Support Engineer for a full-time position, who is tech-savvy with excellent troubleshooting skills to join us. The L1 position responds to, resolves, and escalates incoming technical client issues and requests submitted by phone, e-mail, chat, or ticketing system, focusing on superior customer service. There is a paid trial period of 3 months for this position.

Responsibilities for Technical Support include but are not limited to the following:

Provide expert remote desktop support and basic server administration with a focus on:

• Client satisfaction.
• Service delivery quality.
• Technical excellence.

Qualifications:

• Experience with Windows operating systems and office applications.
• Excellent troubleshooting skills.
• Excellent communication and people skills.
• Ability to learn new technologies quickly.
• Ability to work within tight deadlines.
• Ability to multitask and perform under pressure.
• Readiness to different time shifts (our operations are 24/7).
• Detail-oriented, self-motivated, punctual, quick-thinking, creative and proactive.
• Intermediate level of English (both spoken and written).
• Experience with the Microsoft 365 platform would be a big advantage.

What we offer:

• Comfortable work environment, remote work.
• Paid vacation and sick leave.
• Healthcare insurance and gym.
• Paid for additional training and certifications.
• Psychologist services.
• Work in a young and friendly team.

We're looking for a Head of Media Buying Operations to join us!

Responsibilities:
- Build, optimize, and scale operational processes supporting Media Buying
- Define and implement performance indicators for operational units
- Lead and manage the team (task planning, KPIs, performance reviews)
- Oversee billing operations: payments, reconciliations, financial discipline
- Organize sourcing and scaling of account providers
- Ensure timely delivery and availability of accounts for buyers
- Coordinate designers’ workflow and maintain creative SLA standards
- Identify bottlenecks and implement automation where possible
- Manage operational risks (account bans, provider shortages, payment delays)
- Provide regular reporting to Head of Media Buying / VP of MB

Requirements:
- 5+ years of experience in Affiliate Marketing / Media Buying
- 3+ year of head management experience
- Strong understanding of advertising account infrastructure (Facebook / Google / TikTok/in-app)
- Experience working with account providers + app sellers
- Engineer and refine scalable architectures to facilitate budget expansion and OPEX low
- Understanding of financial flows in media buying (spend, turnover, billing)
- Strong process management and organizational skills
- Ability to operate effectively in a high-load, fast-paced environment

Our benefits to you:

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

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

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

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

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location
 

Project description

We are looking for a Regular DevOps / Cloud Infrastructure Engineer to support infrastructure automation, environment deployment, and GitOps-based delivery.

Responsibilities

Own the Terraform infrastructure

API Gateway routes, Lambda functions, IAM roles, EC2, DynamoDB tables, SQS queues, AWS Workspaces .etc

Design and maintain Python Lambda handlers that integrate with Active Directory/LDAP, GitLab, JFrog Artifactory, and the AWS SDK, handling KMS-encrypted secrets and SSM parameters.

Run and troubleshoot the Jenkins deployment pipeline across environments (plan / create / destroy / test).

Keep integration tests healthy and add coverage for new endpoints.

Manage secrets and access control

Jenkins credentials, KMS key permissions, API keys stored in SSM.

Solid Ansible skills for authoring and maintaining idempotent playbooks, roles, and inventories across Linux and Windows hosts.

Strong Linux administration skills, including shell scripting, package and service management, systemd, networking, and troubleshooting.

Skills

Must have

Hands-on experience with AWS or Azure.

Experience with Terraform and infrastructure-as-code.

Knowledge of networking: VPC, subnets, routing, security groups, NAT, private endpoints.

Experience with IAM roles and policies.

Experience with Jenkins, GitLab CI/CD or Azure DevOps Pipelines.

Ability to troubleshoot complex cloud deployments.

Good communication and documentation skills.

Nice to have

PowerShell for Windows / AD / Workspaces helper scripts.

JFrog Artifactory REST API

permissions, replication, tokens, storage.

Windows Server administration, RSAT, and SSM Run Command.

Bedrock and SageMaker service familiarity.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are seeking a Robotics Engineer to join the client’s team on a contract basis. The ideal candidate will have expertise in developing autonomous systems for unmanned aerial vehicles (UAVs) and contribute to our cutting-edge drone squad technology.

About the client:
Our client is a pioneering technology company specializing in advanced autonomy for squad robotic systems. The company blends cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. The team is dedicated to pushing the boundaries of robotics and AI, with a strong focus on safety and ethical considerations in autonomous systems.

Requirements:
- 2+ years experience with autonomous systems, particularly in UAV applications.
- 2+ years experience in designing and implementing autonomous control systems for UAVs using ROS and simulation environments (e.g. Gazebo).
- Hold M.Sc. in automation and control, machine learning, robotics, or related field.
- Design and implement autonomous control systems for UAVs.
- Experience with computer vision frameworks (OpenCV, YOLO, TensorFlow, PyTorch, etc.)
- Have experience integrating a companion computer (e.g. Raspberry Pi 5 + AI or Nvidia Jetson) to a UAV using Pixhawk.
- Integrate sensors and actuators for improved drone perception and navigation.
- Knowledge of control systems, computer vision, and machine learning.
- Conduct testing and validation of robotic systems in various environments.

Core Technical Skills:
- Robotics Frameworks: ROS/ROS2, Nav2, MoveIt, Ardupilot, PX4, OMPL, PCL, Zenoh
- Embedded Systems: PX4 Firmware, UART, SPI, I2C, CAN, MAVLink
- Edge: Jetson, Qualcomm (QRB5), AIMET, TensorRT, Quantization (int4,int8), Quantization Aware Training, Pruning, Distillation.
- Simulation: Gazebo, IsaacSim, UnReal Engine(AirSim), Foxglove Studio, RViz2.
- Programming & Tools: C++, Python, Git, Docker, CI/CD, Linux, Docker/Podman ML specific skills
- Stochastic processes: behavior trees, FSMs, MDPs
- Learning: RL, Bayesian networks (and BBP)
- Scripting languages: PDDL, RDDL

Nice to have:
- Experience with SLAM, computer vision applied to UAVs
- Knowledge of AI safety principles and practices
- Knowledge of control systems, computer vision, and machine learning
- Familiarity with hardware integration for UAVs

We're looking for a Senior Growth Designer to join our Growth team and own the design side of our web funnels for paid acquisition.
This is an individual contributor role with real design ownership - you'll take a business hypothesis or goal from Growth and independently turn it into a strong, well-argued design solution, not just execute a spec. You'll be expected to bring alternatives, challenge decisions from Product or Marketing when they break the user flow, and back your point of view with data.

Responsibilities:

• Design and iterate on web funnels - landing pages, quiz screens, and paywalls - built around specific hypotheses and A/B tests.
• Build reusable visual components for our internal funnel builder (quiz screens, paywall blocks, etc.) so the team can assemble new funnels quickly, consistently, and systematically.
• Contribute to product screens, user flows, and UX beyond pure growth work.
• Partner closely with Growth, Acquisition, and Product - pick up hypotheses, turn them around quickly and accurately, and keep status visible to the team.
• Own and maintain the design system and Figma hygiene - clean file structure, component consistency, and tracking of hypotheses and versions.
• Join syncs on key metrics, understand funnel performance, and let data - not just taste - drive design decisions.

What we look for:

• 4+ years of experience as a Growth Designer, Product Designer, or Web Designer, with a strong track record in web funnels and performance design.
• Strong understanding of web funnels and their business logic.
• Professional-level Figma - components, auto-layout, design systems, clean file organization.
• Solid analytical skills and comfort working with key metrics; understanding of conversion and funnel performance, with the ability to connect design decisions to results (deep analytics background not required - data-driven thinking is).
• Ability to quickly dive into complex problems and develop effective solutions.
• High level of autonomy and accountability.
• Creativity and ability to generate unconventional, bold hypotheses and fresh design directions, not just "safe" ones.
• Design expertise that goes beyond execution - developing alternative concepts and pushing back with arguments when a decision breaks the user flow.
• Strong results orientation and a focus on solutions rather than problems.
• English proficiency - B1 or higher.

Nice to have:

• motion/micro-animation skills, performance ad-creative experience, background in subscription or AI products.

What matters to this role:

• Proactivity and initiative - come with proposals rather than waiting for a spec; if you see a problem, bring a solution; follow through on what you commit to.
• Attention to detail - precision (text, elements, states) is part of what we mean by seniority.
• Communication and responsiveness - stay reachable, keep the team updated on status, and join urgent syncs when needed.
• Structured process - follow agreed workflows, track hypotheses and tasks, document decisions.
• Involvement in metrics and product - engage with growth and product numbers, participate in discussions on what worked, not just the visuals.

We offer:

• Real ownership and measurable impact - your work will directly influence funnel conversion, monetization, and the first-payment experience, with clear visibility into how design decisions perform.
• A strong voice in Growth decisions - you won't be treated as an execution-only designer. You'll have room to challenge ideas, propose alternatives, and shape how hypotheses turn into user experiences.
• A chance to build systems, not just individual screens - contribute to our internal funnel builder and create reusable design patterns that make experimentation faster and more scalable.
• A fast, data-driven environment - work closely with Growth, Acquisition, Product, Analytics, and Development, run frequent experiments, and see the impact of your work quickly.
• Competitive compensation based on your experience, expertise, and impact.
• Access to available AI tools.
• Reimbursement of professional courses and trainings.
• Flexible working hours.
• Professional equipment and access to the necessary programs.
• Paid vacations, sick days, and other benefits.
• Medical insurance.
• A variety of corporate events and team-building activities.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.
 

     You'll be a great fit if you have:

•  Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

• Bachelor's degree in Computer Science or a related field.
   

  What you'll do:

• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications.
   

     We ensure your growth with:

• Competitive salary fixed in USD;
• Flexible working schedule and fully remote work format;
• Paid vacation days and sick leave days ;
• Personal and professional development opportunities;
• Participation in building innovative projects from scratch using modern technologies;
• Team-building activities and corporate events;
• English classes and educational events.

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

You'll be a great fit if you have:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with gRPC;
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

What you'll do:

• Designing and developing high-performance Backend APIs using FastAPI and gRPC;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.

  
  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

• We are looking for a Regular DevOps / Cloud Infrastructure Engineer to support infrastructure automation, environment deployment, and GitOps-based delivery.

   

• Responsibilities:

  * Own the Terraform infrastructure - API Gateway routes, Lambda functions, IAM roles, EC2, DynamoDB tables, SQS queues, AWS Workspaces .etc
  * Design and maintain Python Lambda handlers that integrate with Active Directory/LDAP, GitLab, JFrog Artifactory, and the AWS SDK, handling KMS-encrypted secrets and SSM parameters.
  * Run and troubleshoot the Jenkins deployment pipeline across environments (plan / create / destroy / test).
  * Keep integration tests healthy and add coverage for new endpoints.
  * Manage secrets and access control - Jenkins credentials, KMS key permissions, API keys stored in SSM.
  * Solid Ansible skills for authoring and maintaining idempotent playbooks, roles, and inventories across Linux and Windows hosts.
  * Strong Linux administration skills, including shell scripting, package and service management, systemd, networking, and troubleshooting.

   

• Mandatory Skills Description:

  * Hands-on experience with AWS or Azure.
  * Experience with Terraform and infrastructure-as-code.
  * Knowledge of networking: VPC, subnets, routing, security groups, NAT, private endpoints.
  * Experience with IAM roles and policies.
  * Experience with Jenkins, GitLab CI/CD or Azure DevOps Pipelines.
  * Ability to troubleshoot complex cloud deployments.
  * Good communication and documentation skills.

   

• Nice-to-Have Skills Description:

  * PowerShell for Windows / AD / Workspaces helper scripts.
  * JFrog Artifactory REST API - permissions, replication, tokens, storage.
  * Windows Server administration, RSAT, and SSM Run Command.
  * Bedrock and SageMaker service familiarity.

   

• Languages:
  • English: B2 Upper Intermediate

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Network / Embedded engineer to join the client’s team to work at the boundary between embedded devices, wireless communication, network infrastructure and telemetry.
The role is focused on understanding how network data is generated at the edge, integrating telemetry sources, validating simulator behavior and supporting controlled field experiments.

Responsibilities:
- Analyze embedded architecture of network devices, gateways and repeaters
- Understand firmware/network interfaces
- Investigate telemetry generation and collection
- Work with RSSI, SNR, packet-loss, battery and device-state data
- Identify telemetry gaps and instrumentation requirements
- Integrate network telemetry with existing data infrastructure
- Support network simulator integration and experiments
- Validate simulator outputs against real-world measurements
- Support controlled field deployments
- Investigate communication issues across firmware, radio and network layers
- Automate data collection and technical experiments
- Support creation of reproducible network experiments
- Work closely with Network Architects, Data Engineers and ML Engineers

Requirements:
- 5+ years of embedded/network engineering experience
- Strong embedded systems knowledge
- Experience with embedded Linux and/or microcontrollers
- Experience with wireless communication systems
- Understanding of network protocols and distributed systems
- Experience with telemetry and device diagnostics
- Strong debugging and troubleshooting skills
- Experience integrating hardware/firmware with backend or cloud systems
- Python and/or C/C++

Nice to have:
- LoRa / LoRaWAN
- Mesh networking
- RF communication
- Gateways/repeaters
- IoT
- Network simulators
- Sensor networks
- Battery-powered devices
- Field deployments
- Defense/robotics/telecommunications

Blackbit is looking for a Business Development Manager to help us grow our client base and generate new business opportunities.

We are looking for someone who knows how to find the right companies, identify decision-makers, start conversations and turn new contacts into qualified leads and, ultimately, new clients.

What you’ll do

• Identify and approach potential clients in Germany, Europe and other relevant markets
• Generate new leads through LinkedIn, networking, personal contacts, events, partnerships and outbound activities
• Build relationships with decision-makers such as CEOs, CTOs, CIOs, Heads of Digital, E-commerce and IT
• Identify potential client needs and match them with Blackbit’s services
• Arrange introductory calls and business meetings
• Work together with our management and technical teams during the sales process
• Develop your own pipeline of potential clients and opportunities
• Follow opportunities from initial contact through negotiation and contract signing
• Represent Blackbit at relevant industry events and within your professional network

What we are looking for

• Proven experience in Business Development, Sales or Account Development, preferably in IT services, software development, digital commerce or consulting
• Strong professional network and/or ability to systematically build one
• Confidence in approaching senior decision-makers
• Good understanding of B2B sales cycles
• Ability to work independently and focus on measurable results
• Excellent communication and negotiation skills
• Fluent English; German is a strong advantage
• Existing network in the German / DACH market would be a significant plus

What we offer

• Flexible cooperation model
• High level of independence — no micromanagement
• Direct cooperation with Blackbit management
• Access to technical and delivery experts during the sales process
• Competitive commission for successfully acquired clients and generated business
• Opportunity to build a long-term revenue stream based on the business you bring
• Remote work and flexible schedule

About Blackbit

Blackbit is a German digital commerce and software development company delivering complex digital solutions for B2B and enterprise clients.

Our expertise includes digital commerce, custom software development, Pimcore, data management, cloud and DevOps solutions.

We are particularly interested in people who can open doors: introduce Blackbit to companies where there is a real business need and help turn those relationships into long-term clients.

Interested? Send us a short introduction, your relevant experience and, most importantly, tell us which markets and types of clients you can realistically reach.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe

About the role:
We are looking for a Senior network architect / Network & embedded systems engineer to join a defense technology project focused on improving the reliability, scalability and intelligence of a constrained wireless sensor network.
The project involves an existing multi-layer wireless network with gateways, repeaters and end devices, dynamic topology, routing and path management, constrained node capacity, radio-quality telemetry and battery-dependent node availability.
The engineer will work at the intersection of network architecture, wireless communications, embedded systems, telemetry and network simulation, helping the team understand the current system, establish technical baselines and identify opportunities for optimization, automation and AI/ML-assisted network intelligence.

Responsibilities:
Network architecture & Protocol analysis
- Analyze the existing wireless network architecture and communication layers
- Understand gateway-to-gateway, device-to-gateway and device-to-device communication
- Analyze network discovery, joining, routing, path selection and path recovery mechanisms
- Model network topology, node states, links, routes and state transitions
- Identify network constraints related to repeater capacity, child-device limits, radio airtime and node availability
- Identify current bottlenecks, failure modes and architectural limitations
- Establish technical baselines for network behavior and reliability
Wireless & Network telemetry
- Analyze available RSSI, SNR, packet-loss, battery, availability, topology and routing telemetry
- Understand how telemetry is generated, collected and propagated through the system
- Identify gaps in current observability and recommend additional instrumentation where required
- Work with Data/ML Engineers to define a reliable representation of network state over time
Embedded & Edge integration
- Understand the embedded architecture of network nodes, gateways and repeaters
- Analyze interfaces between firmware, radio components, network protocols and telemetry systems
- Support integration of telemetry and experimental instrumentation
- Participate in field deployments and controlled experiments
- Investigate issues that span firmware, radio communication and network behavior
Network simulator
- Analyze the existing network simulator and its architecture
- Determine which network parameters and scenarios can be controlled
- Assess available simulator outputs and telemetry
- Compare simulator behavior with real-world network measurements
- Identify calibration requirements and simulator-to-real-world discrepancies
- Help establish a reliable simulation environment for future experimentation and synthetic data generation
Feasibility & Solution design
- Formulate and evaluate technical hypotheses around: network-state awareness, routing and path optimization, network reliability, degradation prediction, capacity forecasting, predictive maintenance, simulator-based experimentation
- Work with ML Engineers to determine whether a problem is better addressed through ML, optimization, graph algorithms, heuristics or deterministic logic
- Contribute to technical feasibility assessments and implementation recommendations
- Help define implementation-ready technical scopes for promising opportunities

Requirements:
- 5+ years of experience in network engineering, network architecture, embedded systems or a closely related field
- Strong understanding of networking protocols and distributed network behavior
- Hands-on experience with wireless networks, mesh networks, IoT or constrained networks
- Experience analyzing network topology, routing, link quality and network capacity
- Strong understanding of RSSI, SNR, packet loss, latency, link quality and radio communication metrics
- Experience working with network telemetry and distributed systems
- Practical experience with embedded systems and/or embedded Linux
- Experience integrating firmware/embedded systems with network and telemetry infrastructure
- Experience with network simulators, emulators or controlled network experiments
- Strong analytical and troubleshooting skills
- Ability to work with incomplete information and reverse-engineer existing systems
- Ability to communicate complex technical concepts clearly to engineers and non-engineering stakeholders

Nice to have:
- LoRa / LoRaWAN experience
- Experience with mesh/ad-hoc/tactical networks
- Experience with constrained wireless networks
- Experience with RF systems or radio telemetry
- Experience with network optimization
- Experience with graph-based network modeling
- Experience working with network simulators or digital twins
- Experience in defense, telecommunications, robotics, IoT or autonomous systems
- Python for network analysis, experimentation and data processing
- Experience collaborating with ML/Data Engineering teams

We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.

Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.

• Responsibilities:

  Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).
  Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.
  Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.
  Update selected third-party libraries to recent versions to meet security requirements.
  Migrate the codebase from C++17 to C++20.

• Mandatory Skills Description:

  Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.
  Strong experience with CMake and build-system toolchain configuration.
  Hands-on knowledge of the Conan package manager.
  Familiarity with the Clang / LLVM toolchain.
  Experience with Qt5 application development and macOS packaging / code signing.
  Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a proactive, results-driven Lead Generation Specialist to join a team building technology solutions for DefenseTech - a person who will take ownership of outbound lead generation and cold outreach processes.

Responsibilities:
- Lead Sourcing & Prospecting: Independently identify relevant companies, key decision-makers (C-level, Founders, Tech Leads), and gather accurate contact details.
- LinkedIn Cold Outreach: Design and execute effective LinkedIn outreach strategies, including personalized message sequences and timely follow-ups.
- Communication & Engagement: Manage initial conversations, handle objections, and guide prospects to a booked call.
- Analytics & Pipeline Management: Track outreach metrics (response rates, conversion rates, booked calls) and continually test new hypotheses to optimize performance.

Requirements:
- Hands-on LinkedIn Outreach Experience: Solid understanding of LinkedIn limits, personalization techniques, and outreach automation tools.
- Proven Track Record: Ability to independently handle the full cycle from cold contact to a confirmed meeting.
- Self-Drive & Ownership: Strong self-organization skills and a problem-solving mindset.
- Experience with Sales Navigator, Apollo, or similar lead sourcing and verification tools.

Nice to have:
- Direct experience or strong familiarity with MilTech, DefenseTech, or AI sectors