Jobs

🟠 Details: we are looking for a Middle/Senior Computer Vision/Machine Learning Engineer to lead the design and development of an AI-powered system for extracting structured spatial data from complex floor plan imagery.

The main goal is to build a production-oriented prototype capable of processing 2D and 3D apartment floor plan images, extracting simplified 2D layouts, detecting rooms and interior spaces, estimating room areas, and generating structured outputs for flooring takeoff calculations.

This is a highly practical, R&D-driven role focused on solving real-world computer vision challenges such as perspective distortion, furniture occlusion, unclear room boundaries, scale estimation, and validation against noisy or inconsistent reference data.

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).
• Technical interview with ML/CV Engineer and PM (about 1 hour).
• Optional take-home task.

🟠 By joining us, you will get: (may add something else for the position)

• 15 paid vacation days + 30 unpaid days off per year.
• 4 paid public holidays.
• 5 sick leaves.
• Accounting and legal support.
• Flexible hours, remote work, and quality equipment.
• 100% certification coverage (on success).
• 50% coverage for additional training.
• Internal workshops and knowledge sharing.
• $50/month wellbeing budget (50% co-pay) for sport, education, therapy, and massage.
• Team-buildings, gifts, and company events.
• Internal rewards and perks program.

🟠 Our office:

📍 FuturaHUB, located in Lviv (Kulparkivska 200a).

• Modern and comfortable workspace.
• Conference rooms and chill-out areas.
• Sports activities and team events.
• Coffee, tea, snacks, and more.

🟠 Some of our values:

• Healthy work-life balance.
• No overtime or pressure culture.
• Transparent communication and clean relationships.
• Ownership and initiative.
• Openness to experimentation, learning, and change.

Role Overview:

Our client is expanding the team responsible for ensuring the reliability and stability of their production systems across multiple platforms. In this role, you will work directly with live environments - monitoring, responding to incidents, and improving observability and operational processes.

This position is suited for engineers with real production exposure who understand that SRE is more than running infrastructure - it’s about reliable services, fast detection, effective response, and continuous improvement. A high-level understanding of SLI/SLO is expected.

You will work in a shift-based setup, including late-evening and night rotations, taking ownership of incidents from detection to resolution and contributing to making systems more stable over time.

Key responsibilities:

— Working in shift-based operations: monitoring, alert response, incident handling, escalation when needed;

— Participating in incident handling: initial classification, technical investigation, coordination with engineering/development teams, and following-up improvements;

— Developing and refining observability across platforms (metrics/alerts, dashboards, logs);

— Reducing operational toil: small automation, runbooks, and repeatable processes (the “make it easier next time” mindset);

— Working with documentation set in the Atlassian ecosystem. This will include writing/updating KB, Runbooks, and other technical documentation;

— Collaborating with development teams to improve production readiness (basic reliability practices, cleaner incident follow-ups).

Ideal profile for the position:

Core skills:

— Good Linux skills in production environments (debugging basics, system services, logs, performance basics);

— Solid understanding of networking fundamentals (TCP/IP, DNS, HTTP, load balancing basics, TLS fundamentals);

— Experience with containers and image lifecycle basics (Docker or compatible runtimes);

— Ability to troubleshoot across application, network, and infrastructure layers using logs/metrics and basic tools (curl, basic traffic/log analysis; scripting is a plus);

— Basic familiarity with observability: metrics and alerting, dashboards, logging.

SRE fundamentals:

— You understand the difference between “just running infra” and SRE as a discipline: reliability targets, fast detection, clear escalation, and consistent follow-up;

— You’re familiar with SLI/SLO and can explain them in simple terms (a high-level understanding is enough).

Experience:

— 1+ year in a production-focused role (Ops/Support L2+/DevOps/Junior SRE — what matters is real production exposure);

— Participation in production incidents (triage, investigation, escalation, basic follow-ups);

— Availability to cover late-evening and night shifts, in rotation.

What will be an advantage:

— Familiarity with Kubernetes (they don’t require deep production ownership yet);

— Exposure to AWS services such as EC2, ALB/NLB, RDS, S3, and IAM basics;

— Exposure to Terraform and/or Ansible (small changes, basic understanding of principles);

— Experience working in high-availability environments where downtime actually matters.

The company guarantees you the following benefits:

— Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;

— Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision;

— Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers;

— Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location;

— Paid Time Off: Prioritise work-life balance with paid vacation and sick leave days to prevent burnout;

— Career Development: Access continuous learning and career development opportunities to enhance your professional growth;

— Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;

— Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;

— Medical Insurance Support: Choose the right private medical insurance and receive compensation (full or partial) based on the cost;

— Flexible Benefits: Customise your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;

— Education Foundation: Participate in a biannual raffle for a chance to learn something new unrelated to your job as part of your commitment to ongoing education.

Interview process:

— A 30-minute interview with a Recruiter to get to know you and your experience;

— 1st stage of technical interview (1 h) with the DevOps team to assess your theoretical skills;

— 2nd stage of technical interview (1 h) with the DevOps team to assess your hard skills;

— A final 1-hour interview to gauge your fit with the company culture and working style.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a fast-growing, six-year-old, cloud-native SaaS company with approximately 90 employees worldwide. They deliver the world’s first unified Secrets & Machine Identity platform — trusted by Fortune 100 companies and industry leaders. The platform integrates Vaultless Secrets Management, Certificate Lifecycle Management, Next-Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to secure and manage the entire lifecycle of both machine-to-machine and human identities across all environments. Backed by leading cybersecurity investors and financial institutions, our client is redefining identity security for the modern enterprise.

We are seeking a Senior Technical Support / DevOps Engineer with strong hands-on expertise, a deep understanding of infrastructure and systems, and proven customer-facing experience.

Key Requirements:

Technical Expertise:
🔹 Strong hands-on experience with Kubernetes (cluster internals, networking, namespaces, pod communication, troubleshooting);
🔹 Solid knowledge of Docker and containerized environments;
🔹 Advanced Linux system administration skills;
🔹 Practical experience with AWS (GCP is a plus);
🔹 Strong understanding of networking concepts (cloud & on-prem);
🔹 Experience with certificate lifecycle management, encryption, and key management;
🔹 Strong troubleshooting skills in distributed systems;
🔹 Experience with CI/CD pipelines and DevOps practices;
🔹 Scripting skills (Python and/or Bash);
🔹 Understanding of security fundamentals (authentication, authorization, encryption);
🔹 English – Upper-Intermediate or higher.

Preferred Qualifications:
🔹 Experience with Terraform and/or Ansible;
🔹 Familiarity with GCP;
🔹 Experience with Windows administration;

Support & Customer-Facing Experience:
🔹 Proven experience in L3 (or higher) technical support;
🔹 Ability to perform live troubleshooting with customers;
🔹 Experience working with ticketing systems;
🔹 Strong communication skills with the ability to explain complex technical issues clearly;
🔹 Experience supporting enterprise/B2B customers;
🔹 Ownership mindset (incident management, escalation, RCA);

Documentation:
🔹 Ability to create and maintain knowledge base articles, runbooks, and SOPs;

What you will do:
🔹 Troubleshoot and resolve complex issues in customer environments related to Kubernetes clusters, including networking, namespace management, pod deployment, and cluster internals;
🔹 Diagnose and fix problems with Docker containers and deployments;
🔹 Provide advanced Linux system administration support; assist with Windows environments as needed;
🔹 Support customers with certificate lifecycle management, including installation, renewal, and troubleshooting of SSL/TLS certificates and key management;
🔹 Analyze and resolve networking issues within Kubernetes clusters and cloud infrastructures;
🔹 Assist customers with cloud infrastructure setup and troubleshooting, primarily on AWS and GCP;
🔹 Perform live troubleshooting sessions with customers to identify root causes and resolve incidents in real time;
🔹 Document solutions, create and update internal knowledge base articles, runbooks, and SOPs;
🔹 Automate support and operational tasks using tools like Terraform, Ansible, or Python;
🔹 Continuously learn and test new product features in a lab environment to be prepared for customer inquiries;
🔹 Collaborate with the international team (primarily Israeli colleagues) for onboarding, knowledge sharing, and escalation of complex issues;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Home Assignment;
🔹 Assignment Review;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for an L1 Service Desk Engineer to join our MSP team and support SMB customers across the USA.

This role is ideal for someone with previous IT support experience who enjoys troubleshooting, helping users, and working in MSP environments.

You will be responsible for handling day-to-day support requests, troubleshooting Microsoft environments, supporting end users, escalating issues when needed, and helping maintain high service quality across multiple customer environments.
 

Requirements

• 2+ years of IT support experience
• Previous MSP experience preferred
• Strong English communication skills
• Ability to work EST business hours
• Good troubleshooting and analytical skills
• Comfortable managing multiple tickets and priorities
• Ability to work independently in remote environment
• Customer-focused mindset
• Experience supporting SMB customers preferred
   

Technical Requirements

• Windows 10/11 troubleshooting
• Microsoft 365 administration
• Entra ID (Azure AD)
• Password resets and user management
• Exchange Online support
• Microsoft Teams support
• Basic Intune support
• VPN troubleshooting
• Basic networking troubleshooting
• Printer and peripheral troubleshooting
• Basic Active Directory knowledge
• Datto RMM experience preferred
• Basic cybersecurity awareness
   

Nice to Have

• Autotask PSA
• ITGlue
• Huntress
• Apple/macOS support
• PowerShell basics
• Microsoft certifications
   

Responsibilities

• Provide day-to-day technical support to end users
• Handle incoming tickets, alerts, and service requests
• Troubleshoot Microsoft 365 and Windows issues
• Support onboarding and offboarding activities
• Assist with workstation setup and deployment
• Escalate complex issues to L2/L3 engineers
• Maintain proper ticket documentation and time entries
• Support proactive maintenance and monitoring activities
• Follow internal SOPs and security standards
• Communicate clearly with customers and internal teams
   

What We Expect

• MSP mindset and customer-first attitude
• Ownership mentality
• Ability to stay organized while managing multiple tickets/customers
• Strong communication and documentation habits
• Reliability and accountability
• High attention to detail
• Willingness to learn and grow technically
   

Work Conditions

• Fully remote
• B2B contract
• EST timezone overlap required
• Long-term cooperation
• Competitive compensation based on experience
   

Required skills experience

Microsoft 365 - 3 years
Customer Support - 2 years
Windows Support - 2 years
Networking - 1 year
Microsoft Intune - 2 year
 

Required languages

English - B2 Upper Intermediate
 

About Hypershift

Get the expertise you need to implement, update, and fully manage your infrastructure, networks, data centers, and cloud migration strategy. Protect your organization with cybersecurity built for the times we're in.

We are looking for a skilled Embedded Engineer to join our growing team and support customers in delivering IoT-driven solutions. As our Embedded department continues to expand, we are seeking professionals with strong analytical thinking and solid technical expertise.

In this role, you will collaborate with a team of experienced Embedded Engineers to design and implement high-quality solutions that address real-world challenges. This role suggests working with embedded systems, cloud connectivity, and modern communication technologies.

If you’re a motivated Embedded Developer ready to take the next step in your career, we would be excited to collaborate with you!

Requirements

• 4+ years of experience with C
• Experience with cloud connectivity applications, including monitoring and Firmware-Over-the-Air (FOTA) solutions
• Strong background in communication technologies such as LTE, BLE, OpenThread, MQTT, and cybersecurity
• Practical experience with Yocto Linux
• Experience in debugging and troubleshooting embedded systems, including software debugging on real devices (using J-Link, ST-Link) and resolving system-level issues
• Upper-Intermediate level of English

WOULD BE A PLUS:

• Hardware knowledge
• Experience with Docker, GitLab, and Jira

Responsibilities

• Design separate components, modules, classes, devices
• Code, debug, document, and maintain portions of software and hardware
• Perform different types of testing
• Participate in estimation and planning sessions
• Contribute to the development of technical project documentation and user documentation
• Provide assistance to test engineers and support personnel in solving technical issues of software installation and its operation
• Participate in conference calls and face-to-face meetings with the Customer and Customer partners
• Comply with the best engineering practices, technical standards, and quality criteria set forth on the project
• Report status and progress according to the project and company demands
• Spot current deficiencies in the development process, adopted procedures, and engineering practices, environment configurations, etc., and suggest improvements
• Escalate technical issues to the Architect, Team Lead, and Project Manager

We are a performance marketing agency managing mobile campaigns across multiple verticals - crypto, banking, and iGaming. We work with major brands, run multi-platform UA at scale, and operate with full ownership over results.

We are looking for an experienced Mobile Acquisition Manager who will own the full cycle of UA campaigns: from strategy and launch to optimization and scaling. You will work with established clients across iOS and Android, with real budgets and real accountability for results.

What you will do

• Plan, launch, and optimize performance campaigns on AppLovin, Meta, Google UAC, Unity Ads, Moloco, TikTok, Kaizen and other DSPs
• Manage and scale budgets across channels while maintaining target CPI, CPA, and ROAS
• Set up and maintain tracking via AppsFlyer or Adjust - MMP configuration, postback setup, cohort analysis
• Analyze campaign performance: break down by geo, placement, creative, audience - find levers and act on them
• Run creative testing: form hypotheses, brief the team, evaluate results, iterate
• Monitor attribution quality and flag anomalies - CTR spikes, install drops, ROAS shifts
• Communicate results and insights to clients; prepare performance reports

What we expect

• 2+ years of hands-on experience in Mobile UA with measurable results (based on real cases)
• Strong understanding of mobile attribution: last-click, view-through, probabilistic, SKAN, and where each model breaks
• Practical experience with AppsFlyer or Adjust: cohort reports, raw data pulls, reconciliation with ad platform data
• Experience with at least 2-3 platforms: AppLovin, Meta, Google UAC, Unity, TikTok, or similar DSPs
• Ability to read unit economics: CAC, blended vs paid, ROAS by cohort, LTV assumptions
• Structured thinking when forming hypotheses - not "let's try a new creative" but a testable assumption with expected outcome
• English at Intermediate level or above - for working with platforms, partners, and documentation

Nice to have

• Experience in crypto, fintech, or iGaming verticals
• Familiarity with GTM for mobile pixel/event setup
• Experience working in an agency environment with multiple simultaneous clients
• Basic use of AI tools for creative iteration or reporting automation

What we offer

• Full remote - work from anywhere, async-friendly
• Real budgets - work with meaningful spend, not test accounts
• Autonomy - no micromanagement, ownership over results
• Growth - diverse verticals, new markets, fast feedback loops

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.
• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.
• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.
• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.
• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Solid experience in any primary backend language (Java, Python, etc.) combined with React or any other modern frontend framework.
• Proactive, self-driven mindset, able to work independently without detailed instructions.
• Strong communication skills in English (B2–C1).
• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.
• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.
• Strong technical communication, effectively collaborates with peer engineers to understand domain context.
• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.
• Energized by transforming software delivery, not just a participant but a believer.

About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 350 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.

Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.

Our values:

• Deliver what matters
• Respect and support others
• Initiate and own
• Voiceopenly
• Execute with quality

If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com.

We’re looking for a Product Manager to join a new R&D direction focused on subscription-based mobile products. The role centers around building strong web and mobile user experiences that improve activation, retention, and monetization. You’ll work on launching and scaling a product from MVP to growth stage, driving product decisions through analytics, experimentation, and direct impact on core business metrics like LTV and retention.

Requirements:

• 2+ years of product management experience in B2C mobile and/or web products
• Track record of shipping features that moved core metrics (retention, conversion, LTV, ARPU)
• Strong analytical foundation – comfortable with product analytics tools (Amplitude, Tableau)
• Hands-on experience with A/B testing methodology and tooling
• Experience with subscription or freemium monetization
• Excellent English – our default language of communication with a global team and US-facing users
• Comfortable in zero-to-one, ambiguous environments – able to scope, prioritize, and ship independently

Would be a plus:

• Experience launching products in the US market
• Hands-on with paywall/monetization tools (Adapty, RevenueCat, Superwall)
• Solid ASO understanding

Responsibilities:

• Own the end-to-end product roadmap for both web and mobile apps
• Define product strategy, vision, and prioritization in partnership with leadership
• Run discovery: user interviews, market research, competitor benchmarking, opportunity sizing
• Write specs, user stories, and acceptance criteria; partner with design and engineering on delivery
• Set north-star and supporting metrics; build dashboards and analytics tracking plans
• Run experiments across onboarding, paywall, monetization, and retention – define hypotheses, ship A/B tests, read and act on results
• Drive monetization strategy: pricing, paywalls, subscription mechanics
• Continuously optimize the core funnel: acquisition, activation, monetization, retention
• Partner with UA, Creative, and PMM on go-to-market and growth experiments
• Communicate roadmap, results, and trade-offs across the team

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
• Flexible Public Holidays Policy: Gismart provides its employees with 6 fixed public holidays per year and gives you the freedom to choose 5 additional holidays to your liking.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

A global marketplace for savings and investments, providing users with seamless access to high-yield savings accounts and investment options from over 400 partner banks worldwide. The platform removes geographic barriers while ensuring transparency, convenience, and competitive rates. For banks, it delivers cost-efficient deposit funding and innovative Banking-as-a-Service solutions. The team is responsible for the integration of transaction accounts, hosted via our servicing banks, into the Raisin platform. They ensure smooth funding across all products, correctly routing incoming and outgoing payments to their intended destinations. The team consists of 10 members working collaboratively in a cross-functional setup.

Responsibilities:

• Deliver core services and high-quality solutions for a large-scale online platform and its banking systems.
•  Integrate externally developed components into existing applications.
• Define standards, share best practices, and contribute to continuous learning within the team.
• Perform software engineering tasks with a strong focus on quality and support teammates in maintaining the same standards.
• Conduct thorough code reviews, covering best practices, business rules, performance, security, and impact on other features/projects, always providing constructive and respectful feedback.
• Collaborate within the team to negotiate and document software development standards and practices.
• Research and propose multiple technical solutions whenever possible.
• Take end-to-end ownership of project delivery within the team.
• Maintain and manage technical documentation and address technical debt proactively.
• Participate in the hiring process through tech-fit interviews and technical challenge evaluations.

Requirements:

• 6+ years of overall software development experience.
• Minimum 5 years of experience with Java and Spring Boot.
• Strong understanding and hands-on application of design patterns.
• Practical experience with testing practices (unit, integration) using tools such as JUnit, Mockito, TestContainers.
• 4+ years of experience with AWS Services, Kubernetes, event-driven architectures (Kafka or ActiveMQ), Spring Boot, SQL, and NoSQL.
• Excellent communication skills with the ability to articulate challenges and solutions clearly.
• Proven team player who collaborates effectively and supports shared goals.
• Strong critical thinking and problem-solving skills, with the ability to analyze production issues and design robust solutions (highly desirable).
• Proactive in supporting teammates and driving technical improvements (strongly preferred).
• High responsibility when working with payments, as this is a critical, core functionality for the company.

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

About the company

We’re an international product company operating in the mobile entertainment space, focused on scaling high-growth consumer products for the US market.

We’re looking for a senior User Acquisition professional to take ownership of paid growth strategy, campaign execution, attribution, and performance optimization across multiple acquisition channels.

Responsibilities

• Own and scale user acquisition strategy across key paid channels
• Manage and optimize campaigns on Meta, Apple Search Ads, and major programmatic platforms
• Drive performance marketing initiatives with focus on CAC, ROAS, LTV, and payback metrics
• Work closely with analytics and BI teams to build dashboards, reporting, and cohort analysis
• Oversee attribution setup and mobile measurement infrastructure (AppsFlyer / SKAN)
• Collaborate with creative teams on ad concepts, testing, and iteration strategy
• Analyze campaign performance and identify scaling opportunities
• Participate in growth planning, budget allocation, and testing strategy
• Help build and structure the UA function as the team grows

Requirements

• 4+ years of experience in User Acquisition / Performance Marketing for mobile apps or gaming products
• Hands-on experience with Meta Ads, Apple Search Ads, and DSP/programmatic platforms
• Strong understanding of mobile attribution and SKAdNetwork
• Experience working with AppsFlyer or similar MMP platforms
• Data-driven mindset with strong analytical skills
• Experience working with BI/reporting tools and performance dashboards
• Understanding of bidding algorithms and campaign scaling mechanics
• Ability to work independently and take ownership of growth initiatives

Nice to Have

• Experience in gaming, iGaming, betting, fintech, or high-volume consumer apps
• Experience launching and scaling products in competitive markets
• Familiarity with SQL, Tableau, or similar analytics tools
• Experience with creative testing frameworks and AI-powered creative workflows

What We Offer

• Opportunity to work on fast-scaling international products
• High ownership and direct impact on business growth
• Flexible remote setup
• Competitive compensation package

We are looking for a Senior Full Stack Developer capable of taking technical ownership, making independent decisions, and ensuring reliable delivery of complex, production-ready solutions. We expect a highly skilled engineer who can drive results, structure development processes, and demonstrate strong leadership qualities.

Core Requirements

📌 English: Upper-Intermediate or higher.

📌 5+ years of commercial experience with key technologies:

• Python
• Node.js
• React.js
• AWS Lambda/Azure

📌 Commercial experience with additional technologies:

• TypeScript
• Redux
• Express.js
• NestJS
• REST API / GraphQL

• PostgreSQL

   

• AI Engineering & Innovation
• We are actively integrating AI into our development workflows and software solutions.

This includes:

• Introducing and optimizing AI coding tools (Cursor, Copilot, Claude, etc.)
• Supporting the integration of LLM-based features into SaaS products
• Guiding architecture decisions around AI-driven applications

• Promoting the use of AI coding agents and automation in development

   

Key Personal Qualities

• Strong sense of ownership and responsibility.
• Analytical thinking and a results-driven mindset.
• Ability to work effectively in a dynamic and fast-paced environment.

What we can offer:

Full-time flexible working schedule;

Comfortable, cosy, and well-equipped office;

Modern working place MacBookPro;

18 business days of paid vacation / 10 paid sick leaves / public holidays in Ukraine.

English lessons

About the Role

We are seeking a highly skilled and mission-driven Data Scientist to join our customer team and lead the development of our Patient Risk Scoring machine learning initiatives. In this role, you will build predictive models that identify high-risk patients for interventions, ultimately improving patient outcomes and optimizing care delivery. You will leverage Microsoft Fabric to manage end-to-end machine learning workflows, drawing insights from Electronic Health Record (EHR) data sources. If you are passionate about the intersection of advanced artificial intelligence and healthcare innovation, we want to hear you.

Responsibilities

• Model Development & Deployment: Design, train, evaluate, and deploy machine learning models to predict patient risk scores (e.g., medication refusal, non-compliance, decompensation etc.).
• EHR Data Engineering & Processing: Extract, clean, and transform healthcare data from EHR systems (e.g., Credible) to build robust feature sets for predictive modeling.
• End-to-End Analytics with Microsoft Fabric: Utilize Microsoft Fabric’s unified analytics platform (including Data Engineering, Data Science, and Real-Time Analytics workloads) to orchestrate data pipelines, manage Lakehouse architectures, and scale ML training/inference.
• Clinical Collaboration: Partner closely with clinical stakeholders, medical officers, and care teams to define risk cohorts, ensure the clinical validity of model features, and translate model outputs into actionable clinical workflows.
• MLOps & Monitoring: Establish continuous integration, deployment, and monitoring of ML models to track data drift, model degradation, and fairness/bias over time.
• Compliance & Privacy: Ensure all data handling and modeling practices strictly adhere to healthcare regulations (e.g., HIPAA, HITRUST) and maintain the highest standards of data security and patient privacy.

Qualifications

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Bioinformatics, Health Informatics, or a related quantitative field.
• Professional Experience: 4+ years of experience developing and deploying machine learning solutions in production environments, preferably within healthcare or clinical data ecosystems.
• Microsoft Fabric Experience: Hands-on experience building and deploying data and ML workflows within the Microsoft Fabric ecosystem (OneLake, Notebooks, Spark, Data Factory).
• Machine Learning Proficiency: Strong grasp of classical machine learning algorithms (e.g., XGBoost, Random Forests, Logistic Regression) and modern deep learning techniques, specifically for tabular and time-series data.
• Programming Skills: Advanced proficiency in Python and SQL. Experience with data manipulation and ML libraries (Pandas, PySpark, Scikit-Learn, PyTorch, or TensorFlow).
• Communication: Excellent ability to translate complex technical and statistical concepts to non-technical clinical and business stakeholders.

Nice to Have

• Cloud Certifications: Relevant Microsoft Azure or Fabric certifications.

Work Environment & Collaboration

• Full-time: 8 hours a day.
• Schedule: Mon – Fri 9-5 (US EST) overlap with team at least 4 hours.
• Team Structure: Work independently on assigned tasks with support from experienced team members.
• Communication: Primarily asynchronous via email and MS Teams.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Our client is developing a cutting-edge cybersecurity analytics platform designed to give enterprises a comprehensive understanding of their digital environments and security posture. The system continuously aggregates and correlates large-scale data from multiple sources, applies graph-based modeling and AI-driven analytics, and delivers real-time insights that help organizations prioritize and remediate high-impact risks. 

About the Role:

This is a hands-on Senior Backend Engineer role in the central platform team, focused on developing and scaling the core services behind a cybersecurity platform. The role involves designing and maintaining APIs, building reliable backend systems, and contributing to AI-driven features used in production. In collaboration with cross-functional teams, you’ll help shape system architecture, improve performance and observability, and ensure the platform remains stable and scalable. The work has a direct impact on product capabilities, integrations, and the overall user experience.

Key Responsibilities:

• Develop and maintain backend services powering the platform (primarily Python/FastAPI-based microservices)
• Design, build, and evolve APIs used across internal services and external integrations
• Ensure API reliability, scalability, and clear communication between distributed services
• Contribute to building scalable and reliable distributed systems (messaging, data flow, service communication)
• Participate in development of AI-powered features (LLM integrations, prompt-based workflows)
• Improve system quality: testing, observability, performance, and reliability
• Collaborate with other teams when working across multiple services and repositories
• Use modern development tools, including AI-assisted coding, to improve productivity and code quality
• Take ownership of tasks and proactively drive them to completion

Required Competence and Skills:

• 5+ years of backend development experience with Python
• Strong hands-on experience with FastAPI
• Solid understanding of distributed systems and microservices architecture
• Experience working with APIs (design, integration, service-to-service communication)
• Experience with async messaging systems (e.g., RabbitMQ, SQS, SNS or similar)
• Hands-on experience with AWS, including building and running cloud-based services using managed components
• Experience working with Docker / containerized environments
• Experience working with AI tools and coding agents (e.g., Claude or similar) in daily development workflows
• Strong ownership mindset and ability to work independently
• Excellent English and communication skills

Nice to Have:

• Experience building LLM-based features (Bedrock, OpenAI, Anthropic, etc.)
• Experience with Kubernetes and CI/CD pipelines
• Familiarity with data platforms (Databricks, Spark)
• Background in cybersecurity domain

About the project:

Search is changing fast. AI-generated answers are replacing ranked links, and brands that aren't visible inside those answers are simply invisible. This role exists to make sure our clients are inside those answers — not invisible to them. You'll own GEO end-to-end: auditing content for AI retrievability, building entity coverage, shaping how information is structured so language models can extract and cite it reliably. You'll also maintain solid traditional SEO foundations in parallel, because both disciplines are still in play.

A new team member will be in charge of:

• Lead GEO strategy from audit to execution — entity mapping, semantic architecture, and content structuring for AI retrievability
• Shape how content is written and organized so LLMs can extract, surface, and cite it: clear heading hierarchies, modular answer formats, entity-rich copy
• Monitor how models like ChatGPT, Perplexity, and Gemini retrieve and represent brand content — then turn findings into concrete changes
• Run traditional SEO execution in parallel: technical audits, on-page optimization, keyword strategy — keeping the foundation strong as discovery shifts

• Use AI tools (Claude, ChatGPT) actively to test prompts, validate visibility, and pressure-test content across AI search surfaces

   

Does this relate to you?

• Hands-on GEO experience (1 year active GEO practice) — you understand how LLMs source content in practice, not just in theory; prior SEO with active GEO experimentation is fully valid
• Strong SEO fundamentals (3+ years proven SEO): technical audits, on-page optimization, keyword research — you can run this independently
• You know how to structure content for machine readability: semantic hierarchy, extractable answer formats, clean entity coverage
• Solid understanding of what makes content citation-worthy inside generative systems — and what gets ignored
• Comfortable working with AI tools as part of your daily workflow, not just as an experiment

• Link building experience plus especially building off-site authority that feeds both traditional and AI-driven discovery

   

Ready to try your hand? Send your CV without a doubt!