Jobs

 Working hours: 7am-3pm NYC time
 

Required skills:

• 7+ years of proven experience as Delivery Manager/Technical Project Manager/Delivery Director
• Technical background (Developer/BA/QA)
• Experience in application development or elsewhere in SDLC
• Strong understanding of the software development lifecycle
• Strong understanding of different software development methodologies
• Proven experience managing complex, cross-functional, and distributed teams
• Excellent organizational skills and ability to structure processes
• Ability to manage multiple competing priorities effectively
• Good communication and problem solving skills
• Experience working with multi-national teams across time zones
 

Nice to have:

• Experience working in B2B SaaS / Telecom / Enterprise platforms
• Experience with Jira / Advanced Roadmaps / delivery analytics tools
• Experience building delivery processes at scale
• Knowledge of microservices architecture
• Ability to communicate in Ukrainian
 

Soft Skills:

• Leadership skills. Ability to offer solutions and innovative ideas
• Strong communication and stakeholder management skills
• Organizational skills, ability to organize people, processes
• Ability to manage competitive priorities
• Ability to resolve conflicts and align diverse stakeholders
• Self-motivated
• Stress resistance
 

Responsibilities:

• Work in the management team as a full member of the team
• Work within the Agile environment to assist with the planning, management, and execution of application development and ensure meeting committed timelines
• Lead Agile (Scrum) teams to deliver high-quality software on schedule
• Monitor team performance, delivery metrics, and project progress
• Develop and implement standards for the development, deployment and delivery processes
• Ensures the consistency of delivery processes through collaboration with Product, Account Management and PMO departments
• Build strong relationships with internal and external stakeholders (Carriers, Vendors, Partners)
• Communicate effectively with executive leadership on delivery status, risks, and decisions
• Demonstrate leadership abilities with the resolving critical production incidents, develop and implement mitigation plans for them
• This role requires a strategic mindset combined with hands-on execution capability — the ability to see the big picture while diving deep into delivery details when needed
• Report directly to VP of Delivery, B2B Soft

About us:
Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations – and if that interests you, read on.

Responsibilities:
- Design, develop, and deploy production-ready computer vision algorithms for image and video analysis in GIS-related applications
- Build end-to-end perception pipelines – data collection, preprocessing, model development, deployment, and monitoring
- Integrate CV components into operational products in close collaboration with cross-functional engineering teams
- Optimize algorithms for performance, reliability, and scalability in real-time and resource-constrained environments
- Develop and deploy Visual Place Recognition (VPR) systems for geo-localization and scene understanding tasks
- Implement and optimize CV algorithms on embedded and hardware-accelerated platforms, ensuring stable and efficient inference at the edge
- Process and analyze large-scale datasets for model training, validation, and continuous improvement
- Diagnose and resolve complex issues across computer vision applications in production
- Contribute to internal research, exploring emerging techniques in image synthesis, manipulation, and applied ML.

Requirements:
- Expert-level Python – this is our primary engineering language. You must be comfortable writing clean, efficient, production-quality Python code
- 5+ years of hands-on experience in computer vision and applied machine learning
- Deep working knowledge of core CV and ML libraries: OpenCV, PyTorch, TensorFlow, and related tooling
- Solid understanding of machine learning, deep learning, and model development workflows end-to-end
- Hands-on experience with Visual Place Recognition (VPR) algorithms and techniques, including descriptor-based retrieval, sequence matching, and localization under varying conditions
- Proven ability to port, optimize, and run CV/ML models on embedded devices and edge hardware (e.g., NVIDIA Jetson, Raspberry Pi, or similar platforms)
- Proven experience with image processing, model training, and evaluation methodologies
- Ability to translate research into reliable engineering outputs with minimal supervision
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field – or equivalent demonstrable experience
- Strong analytical thinking and clear communication in a cross-cultural, fast-moving team.

Would be a plus:
- Experience with graphics APIs: OpenGL, OpenGLES, or Direct3D
- Background in graphical algorithms, 3D rendering, or computational geometry
- Familiarity with embedded systems or hardware-accelerated proces

Simulmedia is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through analytics and machine learning. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.

We are seeking a motivated Middle Data Scientist to join our data science team. The ideal candidate has solid experience with supervised machine learning, strong analytical skills, and is comfortable working with real-world, large-scale data. In this role, you will contribute to building, improving, and maintaining machine learning models that support our advertising products and business decisions.

This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Key Responsibilities:

• Develop and maintain supervised machine learning models to support ad targeting, measurement, and campaign optimization.
• Perform data analysis, data validation, and feature engineering on large and complex datasets.
• Collaborate with product, engineering, and analytics teams to translate business needs into data science solutions.
• Evaluate model performance using appropriate metrics and iterate on model improvements.
• Support optimization and experimentation efforts related to advertising performance.
• Assist with deploying models to production in collaboration with engineering teams.
• Monitor model performance and help troubleshoot issues in production.
• Communicate results, insights, and limitations to both technical and non-technical stakeholders.
• Stay up to date with industry best practices in data science and machine learning.

Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

Experience:

• 2–4 years of experience in data science, machine learning, or a related analytical role.
• Hands-on experience applying machine learning to real business problems.

Technical Skills:

• Proficiency in Python.
• Solid experience with SQL and relational databases.
• Experience with machine learning libraries such as scikit-learn. Experience with TensorFlow or PyTorch is a plus.
• Good understanding of supervised learning techniques such as linear regression, logistic regression, and tree-based models including decision trees, random forests, and gradient boosting.
• Experience with data manipulation and analysis using pandas and NumPy.
• Familiarity with model evaluation techniques and performance metrics.
• Basic understanding of working with production systems or machine learning pipelines is a plus.

Other Skills:

• Strong analytical and problem-solving abilities.
• Ability to work independently while collaborating within a team.
• Clear communication skills and ability to explain technical concepts simply.
• Strong organizational skills and attention to detail.
• Comfortable communicating with U.S.-based teams.

What is important:

• The candidate has the right to official employment in a Cypriot company as a Ukrainian with temporary protection status in Cyprus

• Citizen of Ukraine

   

You will join the Data365 team, a product that helps extract data from online platforms and social media. Data365 solutions are used by international companies for social listening, media monitoring, brand reputation management, and digital content analytics.

We are looking for a Python developer with at least 4 years of commercial development experience, knowledge of data scraping tools in Python, and experience scraping data from web pages and APIs to help us complete our ongoing tasks of data scraping, parser support, and development of data collection functionality. We keep up with the latest technological trends in the project, and soon we plan to upgrade our stack to modern tools — FastAPI, Elasticsearch and RabbitMQ. This will open up new opportunities for developers and allow us to be even more efficient in collecting and analyzing data from social networks.


 

Hard Skills

1. At least 4 years of commercial experience in Python development.

Web Scraping:

• Proficiency with data scraping tools and techniques.
• Experience writing parsers to scrape data from web pages and private APIs.
• Knowledge of XPath and regex for data extraction.

2. Browser Automation:

• Hands-on experience with headless and stealth browser frameworks (Playwright, Puppeteer, Selenium, or similar).
• Understanding of anti-detection techniques: fingerprint management, proxy rotation, and user-agent spoofing.
• Proficiency with XPath and CSS selectors for DOM interaction.

3. Async Python:

• Deep practical experience with asyncio and concurrent Python — not just surface-level async/await.
• Track record of building and maintaining complex, long-running async systems in production.
• Comfortable debugging concurrency issues: race conditions, resource leaks, task lifecycle problems.

4. Databases:

• Strong SQL skills, including writing complex queries without using an ORM.
• Experience with relational databases such as PostgreSQL or MySQL.

5. Infrastructure:

• Strong Linux systems knowledge: display servers (X11/Xvfb, Wayland), process management, networking, and troubleshooting.
• Solid Docker experience: writing Dockerfiles, multi-stage builds, composing services, debugging containerized environments including GUI/display forwarding.
• Proficiency with Git for collaboration and version management.

6. Web frameworks Experience with one of the popular frameworks like Django, Flask, FastAPI, Litestar

7. Writing tests/ Practical experience (e.g., Pytest) and using linters for clean code.

Soft Skills

• Ability to take ownership of tasks and meet deadlines with minimal supervision.
• Strong time management skills, especially when handling multiple priorities.
• A systematic approach to identifying and resolving technical challenges.
• Clear and professional communication for effective teamwork and collaboration.
• Willingness to work collaboratively and support peers when needed.

Nice-to-Have

• Experience scraping data from platforms such as Twitter, TikTok, or Facebook.
• Understanding or experience working with microservice architecture.
• A solid foundation in solving data-intensive challenges, including knowledge of algorithms and data structures.
• Experience deploying and managing applications in Kubernetes.
• Familiarity with Prometheus and Grafana for monitoring and visualization.
  
   

Job benefits:

• Pure in-house product, highly loaded system. In a product, response time is important, the load is increasing and will continue to increase. And it’s not outsourcing.
• If you like a high degree of independence and autonomy, this is super for you. There are few calls, this work is calm: no blown minds, no constant tracking or micromanagement.
• You are doing a really useful service that people really need. You could see the result every day and you can be proud of it.
• Non-standard technical tasks. Opportunity to meet and use AI
• The opportunity to learn how to prepare products for deployment into a modern cloud infrastructure. In terms of infrastructure, Kubernetes, Docker and Helm are used.
• This is exactly the work for the result. You have time to perfectly polish to the shine — the result matters and quality is more important than timing. For people who like to love their product and dive deep.

Details:

• Flexible working hours: 8-hour workday within the time window of 9:00 AM—9:00 PM (GMT+2), (5/2 schedule)
• 20 paid working days (4 weeks) of annual leave
• Full package of statutory benefits in accordance with Cyprus labor law, including health insurance, paid sick leave, maternity leave, and pension contributions
• Long-term employment contract
• Annual salary review.

We are an international IT company with our primary operational entity based in Cyprus, uniting and supporting a group of product-based IT businesses. The company specializes in building and developing B2B SaaS solutions in the areas of APIs and integrations, data processing, analytics, infrastructure services, mapping/geodata, and related data-driven fields. We are actively growing and value an engineering mindset, proactivity, and the desire to drive product and process development.

It will be great to hire an adult conscious specialist to our team

Resumes will be reviewed with a cover letter.

Please include your location, current citizenship, scraping experience, and salary level. 

Thank you!

Hey there!

It’s an amazing time to join Digicode as we continue empowering as many innovators as possible to change the world. We deliver outstanding technology consulting, R&D, design, and software development services in the USA, UK, and EU markets. This is where you come in.

Join an engineering team developing a cutting-edge AI-powered platform that leverages Artificial Intelligence and Large Language Models (LLMs) to deliver highly relevant, privacy-focused digital experiences through low-latency, real-time distributed systems.

As a DevOps Engineer, you will play a key role in designing, automating, and maintaining a secure, scalable AWS cloud infrastructure that supports high-throughput, business-critical applications. You will collaborate closely with software engineers to enhance platform reliability, performance, security, and deployment automation while applying modern DevOps practices, Infrastructure as Code, and cloud-native technologies.

Requirements:

• 3+ years of DevOps, Cloud Infrastructure, or Systems Engineering experience.
• Strong hands-on experience with Amazon Web Services (AWS).
• Experience administering Linux production environments.
• Strong knowledge of networking, security, and cloud infrastructure.
• Hands-on experience with Terraform and Infrastructure as Code.
• Experience with Docker and containerized workloads
• Experience building and maintaining CI/CD pipelines.
• Experience with monitoring, logging, and incident response.
• Understanding of cloud migration strategies and infrastructure automation.
• Experience supporting PCI-compliant or security-sensitive environments.

• Good spoken and written English level (you will use it on the daily basis)

   

Nice-to-have:

• AWS Certifications (Solutions Architect, SysOps Administrator, DevOps Engineer, or similar).
• Experience with Kubernetes or container orchestration.
• Knowledge of high-availability and disaster recovery architectures.
• Experience with scripting (Bash, Python).

• Experience supporting high-throughput, low-latency distributed systems.

   

Responsibilities:

• Design, implement, and maintain AWS cloud infrastructure.
• Manage Linux servers, monitoring, alerting, and incident response.
• Build and maintain Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure provisioning, deployments, and operational workflows.
• Manage containerized environments and cloud-native services.
• Maintain network configuration, security, and access controls.
• Support cloud migration and infrastructure modernization initiatives.
• Ensure platform availability, scalability, and disaster recovery readiness.
• Implement and maintain CI/CD pipelines. Support PCI compliance, security best practices, and IT governance.
• Collaborate with engineering teams to improve operational efficiency and reliability.

What To Expect From Digicode?

• 🌎 Work from Anywhere: From an office, home, or travel continuously if that’s your thing. Everything we do is online. You’re all set as long as you’re in the same time zone as your project colleagues.
• 💼 Professional Development: We offer great career development opportunities in a growing company, international work environment, paid language classes, conference and education budget, & internal 42 Community training.
• 󰩔 Work-life Balance: We provide employees with 18+ paid vacation days and paid sick leave, a flexible schedule, medical insurance for employees and their children, and a monthly budget for things like a gym or pool membership.
• 🙌 Culture of Openness: We’re committed to fostering a community where everyone feels welcome, seen, and heard, with minimal bureaucracy, and flat organization structure.
  And, also, corporate gifts, corporate celebrations, free food & snacks, and play & relax rooms for those who visit the office.
• Our culture is unique, and we live by our beliefs and core values. For more information on what it’s like to work at Digicode, please take a look at our career page.

• We offer official type of employment via GIG-contract.

   

Did we attract your attention? Send your CV and let’s talk:)

*By submitting your resume, you automatically agree to the storage and processing of your personal data in accordance with the current legislation of Ukraine. We guarantee confidentiality at all stages of cooperation.

We are hiring a Senior Product Manager to own the Teramind Endpoint Agent end to end. 
You will be the single accountable product leader for the roadmap, priorities, and outcomes of the Agent organization - approximately half of Teramind engineering, working across operating systems, low-level platform components, and the server-side telemetry pipeline.

This is a pivotal role. The Agent is one of the strongest competitive moats Teramind has, and the next chapter of the product strategy depends on what we build into it. You are coming in to bring product rigor, customer insight, prioritization discipline, and technical judgment to a team that is capable of shipping world-class endpoint technology.

You will sit alongside other product managers, reporting to the VP of Product. Together, you own Teramind's product surface area.
 

What You Will Own

The Agent roadmap across all platforms. Windows, macOS, Linux, and the expansion into more platforms. You decide what ships, in what order, and why. You balance customer-driven feature work, platform modernization, performance, and security hardening on a single prioritized backlog.

Translating business vision into engineering reality. Synthesize signals from many directions - executive strategy, sister product teams, sales and customer success, customer interviews, competitor moves, analyst input, and direct conversations with the engineering org - and turn them into a coherent technical roadmap the Agent team can execute against. You are the interpreter between "we need to detect AI tool exfiltration" and "here is how we instrument the endpoint to see it."

Building for the enterprise: bulletproof and undetectable. We have a strong and growing enterprise footprint, and these customers expect the Agent to be invisible to end users, resilient against tampering, and reliable under conditions that break weaker products. You will own the roadmap that makes our agent the most trusted and most resilient in the category - tamper-proof, undetectable in stealth deployments, and engineered to survive in hostile environments.

Performance, footprint, and reliability. Every CPU cycle, every megabyte of memory, every battery percent point, and every megabyte of network we consume is felt by the end user and argued about by the customer's IT team. You will set and defend the performance bar - and push the team to raise it.

Define, measure, and meet product KPIs. You will establish the metrics that matter for an endpoint agent - adoption, version rollout velocity, deployment success rate, agent stability and crash rates, performance benchmarks, detection coverage, time-to-patch on OS changes - and you will hold yourself, the team, and the company accountable to them.

Industry and ecosystem relationships. You will build and maintain relationships with Microsoft, Apple, the Linux ecosystem, MDM vendors (Jamf, Intune, and others), major AV/EDR vendors, and the research community. You will represent Teramind credibly in technical conversations where the agent's architecture is the subject.
 

Who You Are

• 5+ years of product management experience, with at least 3 of those owning a technical platform, SDK, agent, or systems-level product. Senior IC role - you are expected to operate with autonomy and influence without needing headcount.
• Technical depth is non-negotiable. You do not need to read or write C++, but you should be able to reason about Windows architecture, understand macOS system extensions and the trade-offs of Endpoint Security vs Network Extension frameworks, and have informed opinions about agent architecture. You can sit in a design review and push back credibly.
• Endpoint or systems background. You have shipped products in at least one of these categories: endpoint security (EDR, EPP, XDR), endpoint agents for monitoring or management, OS-level tools, developer tools, systems software, or infrastructure products. Experience with products like CrowdStrike, SentinelOne, Microsoft Defender, Tanium, JumpCloud, or similar is directly relevant. Pure SaaS/application PMs without systems exposure will struggle in this role.
• You think in outcomes, not features. You define success as "95% of customers roll out a new agent version within 30 days" or "detection coverage at the edge increased from X to Y" - not as "shipped version 27.0."
• You are comfortable with security trade-offs. You have opinions about visibility vs privacy, tamper protection vs usability, cloud processing vs on-device intelligence. You can reason about the attacker's perspective and the IT buyer's perspective in the same conversation.
• You can translate across audiences. Engineers trust you because you speak their language. Customers trust you because you listen and deliver. Executives trust you because you tie technical decisions to business outcomes. Security teams at customers trust you because you respect their concerns.
• You bring rigor. PRDs, prioritization frameworks, release cadence, success metrics - you have your own way of bringing structure to product work, and you roll it out with the team, not at them.
• Strong written communication. Crisp PRDs, structured decision memos, clear release notes, credible engineering-facing specs. In a distributed team, writing is how product management scales.
   

Nice to Have

• Engineering background earlier in your career (systems, kernel, driver, or low-level platform programming)
• Direct experience with Windows Filter Drivers, Minifilters, or WFP
• Experience with macOS Endpoint Security framework or Network Extensions
• Exposure to MDM ecosystems (Jamf, Intune, Workspace ONE, Kandji)
• Experience shipping to Linux endpoints (eBPF, kernel modules, or userspace agents)
• Background in insider risk, DLP, or behavioral analytics
• Familiarity with AI/ML at the edge or on-device inference
• Experience navigating EDR/AV co-existence and exclusion lists at scale
   

Why This Role

Endpoint agents are having a moment. The convergence of insider risk, DLP, AI, and hybrid work is making the endpoint the most strategically important surface in enterprise security and workforce intelligence. Teramind's Agent is one of the deepest data-collection engines in the market - we see things the rest of the category does not - and it is one of the strongest competitive moats we have.

You are coming in to take a genuinely differentiated technical platform and make it the backbone of the next generation of workforce intelligence. The engineering talent is here. The customer demand is here. The strategic priority is here. Your role is pivotal to where Teramind goes next.
 

Interested?

We'd love to hear what you have shipped, what you have owned, and why this role fits what you want to do next. Send us your resume and a short note.

Ми — IT компанія JATAPP, і ми створюємо продукти, якими користуються мільйони юзерів зі всього світу. У нашому портфоліо — вже 20+ різноманітних продуктів виключно у білих нішах: Business, Utilities, Lifestyle, Cybersecurity та Education. І ще більше попереду!

Зараз ми шукаємо Strong Middle - Senior Product Manager, який відповідатиме за розвиток нового DTC e-commerce напряму на Tier-1 ринках. Це роль для людини, яка хоче впливати на продуктову стратегію, працювати з customer discovery, будувати продуктові механіки монетизації та масштабувати продукти від ідеї до запуску.

Чому це цікаво?

• Простір для росту від Head of Product і далі до owner-а власного напряму

• Можливість, в подальшому, формувати команду під себе і будувати продуктовий підрозділ з нуля

• Venture-building із ресурсами та інфраструктурою великої продуктової компанії

• Робота над DTC-продуктами для Tier-1 ринків у wellness-категорії

• Повний product ownership - від customer discovery та продуктової стратегії до запуску й розвитку нових рішень

• Можливість будувати quiz-воронки та subscription-механіки, які безпосередньо впливають на бізнес-результат

• AI-first workflow: Claude, ChatGPT, AI automation у щоденній роботі

• Швидке прийняття рішень, мінімум бюрократії та можливість реально впливати на розвиток нового напряму
  
  

Що ти будеш робити:

Розвивати продукт

• Формувати product та feature roadmap

• Пріоритизувати продуктові ініціативи та розвивати нові продуктові напрями

Проводити customer discovery

• Організовувати customer interviews та JTBD-дослідження

• Аналізувати ринок, конкурентів і поведінку користувачів

• Перетворювати інсайти на продуктові рішення

Розвивати web-funnels

• Ітерувати воронки на основі drop-off аналізу та результатів A/B тестів

• Тестувати різні монетизаційні моделі - цінові плани, exit intent, upsell, subscription mechanics

Керувати розробкою

• Формувати та пріоритизувати backlog

• Готувати технічні завдання для дизайнерів і розробників

• Координувати запуск нових функцій

Працювати з даними та AI

• Аналізувати продуктові метрики - CAC, AOV, LTV, payback period, retention когорти

• Використовувати AI-інструменти для research, прототипування й автоматизації роботи

Що для нас важливо:

• 2-3+ роки досвіду як Product Manager або Product Owner з реальним product ownership — від customer discovery та формування роадмапу до запуску й розвитку продукту

• Досвід проведення product discovery: customer interviews, JTBD-дослідження, валідація гіпотез, аналіз ринку та конкурентів, перетворення інсайтів на продуктові рішення

• Досвід взаємодії з продуктовою розробкою: формування та пріоритизація backlog, постановка задач команді, робота з дизайнерами й розробниками, координація запусків

• Hands-on досвід із web quizzes або складними веб-воронками, розуміння логіки персоналізації, користувацьких сценаріїв та продуктового розвитку таких механік

• Досвід роботи із subscription-продуктами та розуміння ключових механік монетизації: trial-to-paid, retention, churn, LTV

• Сильний data-driven підхід: досвід роботи з продуктовими метриками (CAC, AOV, LTV, payback period), GA4, Amplitude, Mixpanel або аналогічними інструментами, а також запуску й аналізу A/B тестів

• AI-first mindset: активне використання AI-інструментів для research, аналізу, прототипування та автоматизації продуктової роботи
  
  

Буде плюсом:

• Досвід роботи у DTC e-commerce на Tier-1 ринках

• Досвід роботи із Shopify або іншими e-commerce платформами

• Досвід запуску продуктів із нуля

• Досвід у wellness, consumer health або subscription-продуктах

• Досвід роботи з Amazon Marketplace або TikTok Shop
  
  

Рекрутмент процес:

Інтерв'ю з рекрутером - Технічне інтерв'ю - Фінальне інтерв'ю - Збір рекомендацій - Офер

Ми пропонуємо:

• Mental and Physical Health: турбота про здоров’я — це маст, тож в JATAPP ти матимеш повне медичне страхування

• Benefits Cafeteria: обирай, що більше до вподоби — заняття спортом, доставка їжі, товари для домашнього офісу 

• Knowledge sharing: такі події — це наш спосіб рости разом. Ми збираємося, щоб обговорювати нові тренди, ділитися власними інсайтами та прокачувати одне одного

• Remote-First Culture: працюй, де завгодно, головне для нас — результат та безпека 

• Personal Equipment Policy: жодних технічних клопотів — ти отримаєш MacBook і все необхідне для комфортної та ефективної роботи

• Learning and Development Opportunities: для нас споглядати, як ти вчишся, — суцільне задоволення, тож ми з радістю покриваємо твоє навчання та підвищення кваліфікації, а також компенсуємо курси англійської мови

• Community of like-minded people: в JATAPP ти працюватимеш в команді однодумців, з якими залюбки можна і продукт запустити, і марафон пробігти, і Говерлу підкорити

• Creative freedom: ми заохочуємо ініціативність, творче мислення та креативний підхід, тож з нами ти можеш бути самим собою і мати свободу професійного самовираження

• Legal & Finance Support: ми співпрацюємо з найкращими фінансистами та юристами, які з радістю допоможуть вирішити будь-яке твоє питання за запитом 

• Time-off Policy: щорічна відпустка у розмірі 20 робочих днів на рік, 5 днів sick leave без медичного підтвердження, безлімітна кількість лікарняних із довідкою від лікаря, 3 personal days та по 2 days off дні з нагоди особливих подій

We are building a precision turret platform for the defense of Ukraine and are looking for a strong embedded engineer to own sensor integration and control logic - from hardware bring-up to field deployment.
 

What you'll do

• Integrate key sensors - LiDAR, thermal (IR) cameras, IMU - on edge platforms (NVIDIA Jetson, ARM).
• Implement and tune control and stabilization algorithms for turret movement and aiming.
• Apply applied mathematics in practice: coordinate transformations, filtering (Kalman), geometry, timing.
• Debug real hardware and support field testing of deployed systems.

What we're looking for

• 4+ years of embedded software development (Linux, C++).
• Hands-on experience with LiDAR and/or thermal camera integration.
• Solid math background: linear algebra, geometry, filtering.
• Experience with control algorithms, stabilization, or motion systems.
• Comfortable working close to hardware (UART/I2C/SPI/CAN) and making decisions independently.

Will be a plus

• Turrets, gimbals, drones, robotics, or other unmanned systems.
• Sensor fusion, target tracking, PID control.
• ROS2, GStreamer, OpenCV, edge AI pipelines.

What we offer

• Direct contribution to the defense of Ukraine - short path from code to field deployment.
• Ownership of architectural and integration decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

We’re seeking motivated, sharp-minded professionals to join our team as a Cyber Security Analyst/Researcher. In this role, you’ll collaborate directly with clients, examine traffic patterns, and play a key part in identifying and neutralizing harmful bots and online threats.

Customer

Our customer is a global provider of comprehensive security solutions, protecting individuals, organizations, and communities from a wide range of risks, particularly in the digital space. Their enterprise-focused products specialize in bot defense and invalid traffic detection, helping clients safeguard critical systems and maintain operational integrity.

Project

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

Requirements

• At least 4 years of experience in data analysis in cybersecurity or fraud detection domains, including experience with logs and dashboards
• Strong SQL skills: complex queries, aggregations, GROUP BY, ORDER BY, filters, window functions (e.g., RANK()), CTEs, and subqueries
• Technical understanding of web technologies and client–server architecture (APIs, HTTP, basic HTML/JavaScript)
• Experience with SIEM systems (experience with the Elastic Stack would be an advantage)
• Strong troubleshooting and problem-solving skills
• Experience in customer support, including direct communication with clients; professionalism and politeness are essential
• Strong English communication skills

Would be a plus

• Experience in a Cybersecurity Analyst/Researcher role, ideally supporting external customers in threat detection and response
• Experience in web security and security research: web application security, bot management, fraud detection
• Experience with research methodologies (hypothesis testing, verification and research plan)
• Python and JavaScript knowledge
• Experience with BigQuery/Snowflake
• Proficiency in building dashboards using BI tools (Snowflake, Looker, Kibana, JSM)

Personal Profile

• High level of responsibility and ownership
• Ability to work independently with minimal supervision
• Analytical mindset with a data-driven approach to decision-making
• Genuine interest in data, cybersecurity, and delivering high-quality customer service
• Proactive communicator who keeps stakeholders informed without being prompted

Responsibilities

• Investigate advanced and persistent attacks using data analysis and data science tools
• Analyze customers’ web traffic to detect unidentified threats and reduce false positives using Elasticsearch and BigQuery
• Research, design, and continuously enhance detection mechanisms to stay ahead of evolving threats
• Provide real-time technical support to global customers, delivering professional and timely incident responses
• Produce clear, insightful incident reports
• Collaborate cross-functionally with R&D and Research teams to optimize the company’s detection and mitigation capabilities
• Design, plan, and implement internal automation projects to improve team efficiency
• Work in a shift-based schedule, including weekends

Hiring process: 

• Stage 0: Recruitment pre-screen (30 minutes)
• Stage 1: Technical interview (1.5 hours)
• Stage 2: Test task
• Stage 3: Technical client interview (1 hour)
• Stage 4: Second technical client interview (1 hour)
• Stage 5: Soft skills interview on the client side (30 minutes)
• Stage 6: Final interview (optional)

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. The company provides Software-as-a-Service (SaaS) products designed to support electronic trading, brokerage operations, risk management, and financial data analysis.
 

As a Senior C++ Software Engineer you will work on ultra-low-latency ingestion pipelines, processing up to 1M messages per second with microsecond-to-millisecond latency.
 

Responsibilities
 

• Design and develop core market data components using modern C++23.
• Optimize data ingestion pipelines for extreme throughput and low latency.
• Make key architectural decisions for system scalability and reliability.
• Conduct rigorous code reviews focusing on performance, memory safety, and correctness.
• First 90 Days Focus: Deep dive into ZeroMQ and transition quickly into driving medium-to-major feature development.
   

Job requirements
 

• 5+ years of professional experience in C++.
• Expertise in Modern C++ (17/20/23): Deep knowledge of concepts, coroutines, ranges, and multi-threading.
• Low-Latency & Concurrency: Strong background in lock-free programming, memory synchronization primitives, and high-throughput systems (100K–1M+ msg/sec).
• Solid understanding of microservice architecture and Data Structures & Algorithms (DSA).
   

Nice-to-Have Skills
 

• Hands-on experience with ZeroMQ or high-performance messaging.
• Multi-language flexibility (Go/Python) and microservice infrastructure experience (PostgreSQL, K8s\Kubernetes).
• Experience with low-latency networking, binary serialization (Protobuf/FlatBuffers), or financial market data.
   

What We Offer

• Work with a cutting-edge modern C++ stack (C++23) on highly complex engineering problems.
• Flexible remote work environment.
• Collaborative team of senior-level professionals with minimal bureaucracy.
• Hardware-Level Challenges: Dive into low-latency engineering, lock-free programming, and microsecond optimizations. It’s a dream playground for a real C++ enthusiast.
• 100% Remote & Results-Oriented: We value code quality and system stability over time-trackers. Manage your own day.
• Senior-Only Environment: Work alongside top-tier professionals. Minimal bureaucracy means more time for actual engineering and less time in alignment meetings.

Company offers

‍

• Care from Day One – medical insurance immediately upon starting work, including dental care, massage and professional psychological support because your well-being matters
• Work-Life Balance – 25 days of paid vacation + 30 days of sick leave, so you can recover without unnecessary stress
• Investment in your energy – partial reimbursement for any sports  activities that empowers you.
• Growth – partial coverage for English or Ukrainian language courses + a fixed budget for professional development. Choose what suits you best!
• Knowledge Library – books in the office and access to the Kuka online library to learn, grow, and find inspiration.
• Island Relaxation 14 days a year – enjoy a getaway at the corporate villa in Cyprus.
• Office of the Future – work at Unit City, where everything is designed for productivity, even during power outages or Modern Office in Larnaca – a stylish space for inspiration: open areas, cozy lounges, and functional meeting rooms – all for your comfort.

‍

Join the Pine Software team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note, that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!

 Role Overview 

We're looking for a Middle Solution Architect to join our platform engineering team. You will help translate business needs into practical, secure, and scalable solutions on Azure using .NET, working closely with engineering, product, and operations across multiple domains. 

Responsibilities 

• Design end-to-end solutions for platform modules — services, integrations, data pipelines, and security boundaries. 
• Produce and maintain lightweight architecture artifacts: C4 diagrams, ADRs, HLD/LLD outlines, sequence diagrams, NFR catalogues. 
• Define and review REST APIs: contracts/DTOs, error models, pagination/filtering, versioning, and backward compatibility. 
• Support data design on MS SQL Server: schema, migrations, indexing, query performance, and data access patterns. 
• Contribute to cloud and runtime decisions on Azure (App Service, Functions, Service Bus, Event Grid, Key Vault, Storage, API Management). 
• Participate in design reviews, incident retrospectives, and reliability/performance improvement cycles. 
• Document decisions clearly and communicate trade-offs across engineering, product, and business stakeholders. 

Requirements — Must Have 

• 3–5+ years building backend systems with .NET (C#). 
• Azure hands-on experience with core cloud concepts: networking, identity, compute, storage, messaging. 
• REST API design strong understanding of integration patterns — sync/async, idempotency, contracts. 
• MS SQL Server schema design, indexes, transactions, query tuning, migrations (EF Migrations / DbUp or equivalent). 
• Security fundamentals: JWT, OAuth2/OIDC at integration and configuration level; secret management; least-privilege thinking. 
• Application design patterns: familiarity with layered/clean architecture, Repository, CQRS basics — and the judgment to apply them with guidance. 
• AI/LLM awareness: understands what RAG, embeddings, and prompt engineering are at a conceptual level; can ask the right questions when evaluating an AI integration proposal. 
• Communication: ability to document decisions clearly and work with multiple teams. 

Requirements — Nice to Have 

These are areas we'll invest in together — not prerequisites. 

• Event-driven architecture: Azure Service Bus / Event Grid, outbox pattern, consumer group design. 
• Containers and orchestration: Docker, AKS / Kubernetes concepts, Helm basics. 
• Observability: Application Insights, OpenTelemetry, structured logging, distributed tracing, alerting. 
• Advanced design patterns: Domain-Driven Design (bounded contexts, aggregates, domain events); Event Sourcing; Saga / process manager; Modular Monolith as a stepping stone to services. 
• Advanced AI/LLM experience: production RAG deployments (chunking, vector stores, re-ranking, evaluation); Azure OpenAI / Azure AI Search; agentic patterns (tool use, Semantic Kernel / LangChain); AI-specific NFRs — latency, rate limits, grounding, PII handling. 
• API Management patterns: gateway policies, rate limiting, developer portal. 

Role Overview

We are looking for a General QA Engineer with a focus on  automation and manual testing. The role involves ensuring product quality across functional, API, automation, and performance testing, as well as maintaining and improving automated test coverage. You will also have an opportunity to leverage AI tools to support test creation and improve QA processes. The company operates in the FinTech industry and specializes in alternative investments.

Role Responsibilities

• This isn't a full-time Automation QA position. It's more a General QA role with a focus on manual testing. Automation is part of the role as well, including AI-generated tests where appropriate.
• Integration of automated test suites with the current build and deployment processes.
• Maintenance of automated tests to accommodate changes in system design and architecture.
• Integration of Automation framework with existing tools (JIRA).
• Create/Manage/Utilize Defect workflows with automated test execution.
• Design and publish meaningful metrics to support automation test creation and execution.
• Build and implementation of performance test suites.
• Perform all types of testing – Functional, API, Automation, Manual and Load, including necessary manual validation where required.

Role Requirements

• 5+ years of experience with QA engineering delivery experience
• 4+ years of delivery within Agile SDLC/teams ideally with CICD
• Programming experience in Java with focus on behavior driven development (BDD) and test-driven development (TDD) and design patterns, ideally within continuous integration (CICD), including hands-on experience for backend automation
• Experience with Java microservices and REST APIs and exposure to React front end
• Strong experience in data engineering, including data pipelines, ETL/ELT processes, and big data processing
• Hands-on experience with Apache Spark, Databricks, and distributed computing environments
• Experience designing and implementing streaming data processing solutions and scalable data platforms
• Experience with Playwright and TypeScript
• Agile development approach
• CICD: Maven, Sonar, Git, Teamcity/Jenkins, Docker
• AI Integration experience preferred
• Exposure to banking and/or finance environments preferred
• Strong communication skills: English B2+

Interview Process

1. Intro Call with Recruiter (45 minutes)
2. Technical Interview (90 minutes)
3. Call with Tech Lead (30 minutes) 
4. Client’s Interview (60 mins)

Looking forward to having a mutually interesting conversation with you! 😉

About the role 

We're looking for a Strong Middle / Senior Engineer to join a high-impact banking infrastructure migration for one of Europe's financial technology companies. Once the project is completed, you'll continue working on other FinTech initiatives, applying your expertise to other large-scale banking and financial infrastructure projects.

You’ll join a highly skilled team working on real-world challenges with high-load systems, modern cloud-native solutions, and advanced communication protocols. This is an excellent opportunity for someone eager to grow fast and gain hands-on experience with cutting-edge technologies in a demanding but rewarding environment.

Project Highlights

Current focus: migrating a critical Temenos T24 (CBM) core banking system from one client's infrastructure to another.

Business domain: Core Banking & Financial Infrastructure.

Methodology: Agile (Scrum), 1-week sprints, daily stand-ups, regular demos.

Tooling: Bitbucket, Datadog, Slack, Jira, Google Workspace. 

What We’re Looking For:

- Strong, production-level expertise with Java; practical working knowledge of Python for automation and data-reconciliation tooling.

- Solid understanding of message-driven architecture (JBoss Queues or equivalent), including delivery guarantees, idempotency, and error handling.

- Experience with Temenos T24 or another complex core-banking / legacy financial system

- Hands-on experience with Azure. 

- Confident with Bitbucket — git workflows and PR review across two separate client teams at once.

- Practical experience setting up Datadog monitoring and alerting for critical flows.

- Strong debugging skills in distributed systems — comfortable tracing errors across services and queues under time pressure.

- English: Strong Upper-Intermediate or higher — daily live syncs with client team, not just written updates.

Nice to have:

- Prior hands-on experience with Temenos T24 specifically.

- Kotlin experience (for future FinTech projects)

- Experience with other message-driven architectures (Kafka, RabbitMQ).

- Google Cloud certifications.

Why Join FreySoft?

🌍 International team within the EU time zone, flexible schedules.

🚀 Cutting-edge technologies and high-load, real-world challenges.

🎯 Growth-focused culture — grow into leadership, own features, or mentor juniors.

💡 Innovative environment — leverage AI/LLM tools to boost development speed and quality.

💰 Competitive compensation based on experience and skills.

🤝 Collaborative and professional team that values initiative, autonomy, and continuous learning.

About the Role: 

OptiPlay is expanding. We are launching a dedicated sub-studio (our second game development squad) and are looking for a strong Game Producer to take full ownership of its pipeline and product vision.

Key Responsibilities:

• End-to-End Ownership: Drive the entire slot development process for the sub-studio—from initial concept and documentation (GDD) to certification, launch, and live-ops;
• Team Building: Hire and lead your dedicated creative unit, including Artists, 2D/Spine Animators, and Game Designers;
• Cross-Functional Collaboration: Effectively manage workflows with resources (Math designers, Developers, and QA) to ensure seamless delivery without bottlenecks;
• Roadmap & Strategy: Define and prioritize your studio’s product roadmap (mechanics, volatility mix, themes) in alignment with co-founders and the overall go-to-market strategy;
• Compliance & Certification: Drive certification readiness (GLI/BMM) and ensure all titles meet strict regulatory standards for key jurisdictions;
• Data & Performance: Set up and monitor game analytics and KPIs (GGR per title, retention, feature engagement, ARPDAU, hit rate).

Requirements:
 

• 5+ years in iGaming (slot provider or similar B2B environment), with a proven portfolio of released slot titles;
• Deep Math Understanding: Strong grasp of slot mathematics (RTP, volatility, hit frequency, bonus features, jackpots) to effectively collaborate with shared math resources;
• Delivery Focused: Proven ability to deliver slot titles from concept to launch in a lean, fast-paced environment;
• Compliance Knowledge: Hands-on experience with GLI/BMM certification processes and regulatory constraints;
• Entrepreneurial Mindset: Proactive, comfortable with high autonomy, and capable of setting up clear production pipelines from zero;
• Communication: Strong ability to sync with shared tech teams, report directly to founders, and manage external partners.

Nice-to-Have:

• Experience in building or scaling a game development team / sub-studio.
• Exposure to RGS platforms, aggregator integrations, and regulated markets.
• A strong mix of product vision, visual design taste, and data-driven decision-making.

Benefits:

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

🟠 Details: we are looking for a Senior Computer Vision & Machine Learning Engineer to join our team and work on innovative AI and Computer Vision solutions for international clients.

One of the projects you may join focuses on developing an AI-powered system for extracting structured spatial data from 2D and 3D floor plan imagery. It is a practical, R&D-driven project involving room detection, layout extraction, area estimation, and solving real-world computer vision challenges such as perspective distortion, occlusion, and scale estimation.

The position can be either full-time or part-time, depending on the candidate’s level of expertise and relevant hands-on experience with similar CV/ML workflows.

🟠 Qualifications:

• 4+ years of hands-on experience in Computer Vision & Machine Learning.
• Strong practical experience with image segmentation, object detection, image preprocessing, and geometry-based computer vision.
• Experience with OpenCV and classical computer vision techniques.
• Experience with modern segmentation and detection architectures such as YOLO, U-Net, SegFormer, Detectron2, SAM, or similar.
• Strong Python engineering skills.
• Experience with polygon/vector processing tools such as Shapely, OpenCV contours, or similar geometry libraries.
• Ability to work with imperfect visual inputs and design robust fallback logic.
• Understanding of OCR-based extraction using tools such as Tesseract, PaddleOCR, docTR, or cloud OCR services.
• Ability to design end-to-end CV pipelines from experimentation to reproducible prototypes.

🟠 Would be a plus:

• Experience with floor plan recognition, architectural drawings, construction tech, real estate tech, or takeoff/estimation workflows.
• Experience with perspective correction, homography, depth estimation, vanishing lines, or top-down reconstruction.
• Experience with depth models such as MiDaS or Depth Anything.
• Experience with synthetic data generation or image-to-image normalization workflows.
• Experience building ML evaluation and observability pipelines.
• Experience integrating ML pipelines into backend services or APIs.
• Experience leading technical direction for R&D-heavy projects.

🟠 Responsibilities:

• Design and implement a render-to-plan pipeline for converting 3D floor plan renderings into simplified 2D measurement-ready layouts.
• Develop CV/ML approaches for room segmentation, boundary detection, polygon extraction, room classification, and space labeling.
• Work with complex visual inputs including top-down plans, oblique renders, dollhouse-style layouts, and low-quality marketing imagery.
• Estimate room-level areas using geometry, OCR, scale evidence, metadata, and heuristic-based validation approaches.
• Define evaluation logic, confidence scoring, and quality metrics for pipeline outputs.
• Produce structured outputs and visual QA overlays for downstream flooring takeoff workflows.
• Collaborate with AI/backend engineers to integrate the CV pipeline into a web-based PoC tool.
• Document technical assumptions, limitations, risks, tradeoffs, and fallback strategies.

🟠 Interview steps:

• Screening with the recruiter (about 45 minutes).
• Take-home task.
• Technical interview with ML/CV Engineer and PM (about 1 hour).