Jobs

PayDo, a leading Electronic Money Institution (EMI) authorised by the FCA in the UK, FINTRAC in Canada, and MFSA in Malta, operates in 140 countries and over 25 industries. Offering multicurrency IBANs, merchant solutions, and mass payment options, PayDo provides premium and convenient payment services. With all features available through one platform and contract, PayDo is a preferred solution for local and international payments. 

PayDo, a dynamic FinTech with a newly acquired MFSA license, is seeking a highly motivated and experienced Lead/Head of Key Account Management to spearhead the growth and success of our most valued client relationships, with a primary focus on upselling additional products within our rapidly expanding direct acquiring business line.

Your primary focus will be on:

• Developing, implementing, and maintaining specific policies, procedures, and guidelines tailored to the direct acquiring business to ensure operational efficiency and compliance
• Leading and scaling the whole department, with a primary focus on the direct acquiring business line and potential oversight of banking and checkout lines
• Understanding the evolving needs of our acquiring clients and translating those insights into product and service improvements

Your regular tasks 

• Provide strategic leadership and daily oversight to the Key Account Management (KAM) team, driving operational excellence, client satisfaction, and revenue growth
• Maintain, update, and enforce SOPs, guidelines, and manuals for the KAM department; conduct regular reviews to ensure alignment with evolving regulatory and business requirements
• Continuously assess and enhance KPIs and SLAs to ensure they reflect the company’s current strategic objectives and client expectations
• Oversee and conduct regular Quality Assurance (QA) assessments to ensure high standards in service delivery, account performance, and client engagement
• Identify operational inefficiencies and proactively implement cross-functional solutions that streamline workflows, improve service levels, and enhance the end-to-end client experience
• Manage team performance through targeted coaching, structured feedback, and development planning; address underperformance through corrective actions and timely offboarding where necessary
• Promote a culture of continuous professional development by deepening the team’s expertise in product functionality, payment systems, compliance requirements, and industry trends
• Foster a high-performance, accountable culture within the team by reinforcing professionalism, work ethic, and motivation at all levels
• Cultivate and maintain strong relationships with PayDo’s key clients, acting as a strategic partner by regularly gathering client feedback and translating insights into actionable improvements across products and services
• Identify opportunities to increase profitability by initiating, championing, and overseeing the delivery of key client-driven features and solutions that drive long-term value

Skills & expectations

• Proven track record of at least 2 years in a managerial role, with direct supervision of a team of 3 or more individuals
• Minimum of 4 years of experience in the Fintech industry, either as a consultant in Fintech consulting company, in-house payments manager in high-risk verticals (iGaming, Crypto, Forex, etc), account manager/sales agent, or customer support representative within a financial institution (EMI, Bank, or PSP) or similar
• Prior experience with the onboarding of clients, specifically within a direct acquiring setup
• Strong understanding of payment infrastructures, including payment schemes, card schemes and alternative payment methods
• Strong understanding of the specifics of KYB onboarding process, preferably with an EU/CA-based EMI or PSP
• In-depth knowledge of the fintech landscape, including key competitors and current market trends
• Solid understanding of the company’s target industries, with hands-on experience working across high-risk and low-to-medium risk sectors
• Demonstrated leadership and team management capabilities, with a history of building and leading high-performing teams
• Outstanding communication, negotiation, and interpersonal skills, with a client-centric approach
• Ability to manage multiple priorities and stakeholders in a dynamic, fast-paced environment
• Fluent level of English skills, Fluent Ukrainian or Russian language 

Nice to have:

• Experience working with cryptocurrencies would be a plus
• Experience of working with PIS/AIS payment flows would be a plus

About the Role

We are looking for a highly skilled and strategic Senior DevSecOps Engineer to lead our security operations and infrastructure automation initiatives. In this role, you will bridge the gap between development, security, and operations, ensuring our on-premise environment remains secure, resilient, and efficient.
You will act as a subject matter expert, leveraging cutting-edge tools like CrowdStrike to automate threat detection and response, while maintaining robust perimeter security via Cloudflare.

Key Responsibilities
Implementation and automation of security tools in the CI/CD process (SAST, DAST, SCA).
Analysis of vulnerabilities in code, infrastructure and containers.
Development and configuration of security monitoring systems, incident response.
Monitoring and improving the security level of on-prem infrastructures.
Interaction with developers, DevOps and security teams to implement secure practices.
Active participation in the processes of IAM configuration, management of certificates, secrets and access policies.
Conducting internal security audits, participation in external (e.g. penetration) tests.

Requirements

Must-have:
Experience: 5+ years of experience in DevSecOps, Security Engineering, or a related field, with at least 2 years in a Senior role.
Tooling Expertise: Deep hands-on experience with the following specific tools:
Baremetal/on-premise infrastructure
Docker (Docker Swarm is a strong plus)
Gitlab CI 
CrowdStrike
Cloudflare
ELK.
SIEM Proficiency: Proven experience deploying and tuning SIEM solutions (e.g., Splunk, Elastic Security, Datadog, or similar).
Infrastructure: Strong background in managing on-premise infrastructure (physical servers, data centers, virtualization, networking).
Scripting: Proficiency in Python, Go, or Bash for automation and tooling.

Nice-to-have:
Experience with Kubernetes and such tools as Wiz.io and Torq.
Previous involvement in high-load, regulated, or 24/7 production environments (e.g., iGaming, FinTech, telecom or similar).

We offer
Fully remote work opportunity
Enhanced leave benefits:
20 days of paid vacation
5 paid days off
14 paid sick leaves
Company clubs & communities
Celebration gifts for personal milestones
Corporate online events, raffles & challenges
Corporate English program
Corporate yoga classes
Team-building activities
Coworking compensation
Training and development programs (internal & external).

Do you thrive in a dynamic environment where creativity meets data-driven strategy? Are you passionate about building a strong brand and driving business growth? If so, we have an exciting opportunity for you!
   

Regular tasks 

• Manage the development and execution of marketing strategies, focusing on achieving campaign goals and enhancing brand visibility.
• Lead the marketing team to ensure seamless collaboration, productivity, and the attainment of departmental objectives.
• Establish and monitor KPIs and ROI for diverse traffic channels to optimize resource allocation and enhance marketing effectiveness.
• Utilize advanced analytics tools to analyze performance metrics and derive actionable insights for continuous optimization.
• Deliver regular reports on marketing channel efficiency and team performance, showcasing progress towards strategic targets.
• Manage various marketing channels including email, database, social media, and search engine strategies, emphasizing engagement and ROI.
• Oversee the publication of internal and external content such as press releases, articles, and partnership promotions to maintain brand relevance.
• Drive international market expansion initiatives by launching projects, refining product packaging, and strengthening brand presence.
• Collaborate with cross-functional teams to align marketing initiatives with overarching business goals and regulatory standards.
• Conduct comprehensive market research and competitor analysis to inform strategic marketing and product decisions.
• Coordinate event logistics during conferences, ensuring effective branding, booth setup, and promotional activities.
• Maintain and update departmental resources such as Confluence and Brand Book with current and pertinent information.
     

Skills & Requirements

• Minimum 3 years of experience in a marketing leadership role, 5 years in Marketing (including international experience)
• Proven track record of developing and executing successful marketing strategies that drive business growth
• Strong understanding of marketing principles, digital marketing channels (email marketing, social media marketing, SEO, PPC), and marketing analytics
• Excellent communication, collaboration, and leadership skills
• Experience managing and developing a high-performing marketing team
• Data-driven approach with a strong understanding of marketing KPIs and ROI measurement
• Excellent written and verbal communication skills
• Ability to work effectively in a fast-paced and dynamic environment
• Experience with project management methodologies
• A passion for technology and innovation
• Advanced level of English proficiency

As a plus

Experience working for the FinTech company
Experience with B2B and B2C audiences on an international level

Overview:
We are looking for an experienced Senior Flutter Engineer to continue the development and optimization of cross-platform applications for mobile and embedded Android devices. This role focuses on delivering high-quality UI/UX, improving application performance, and refining developer workflows. You will collaborate closely with designers, architects, and backend engineers to implement robust, user-centric features using modern tools and best practices.

Responsibilities

• Develop and optimize Flutter-based applications for mobile and embedded Android platforms;
• Implement performant, maintainable UI/UX features based on product and design requirements;
• Integrate secure RESTful APIs, including client-side certificate authentication;
• Enhance integration with existing video streaming infrastructure, with a focus on UX quality and performance;
• Apply modern Flutter development practices such as state management, hot reload, and automated testing;
• Collaborate with cross-functional teams to ensure seamless integration with backend services and CI/CD pipelines.

Requirements

• 5+ years of professional experience in software development, with strong focus on Flutter;
• Proven experience building Flutter applications for mobile and embedded Android devices;
• Strong knowledge of Dart, Flutter widgets, state management solutions, and performance profiling;
• Hands-on experience integrating secure APIs over HTTPS, including client-side certificates;
• Experience working with modern developer tooling, automated testing frameworks, and CI/CD pipelines;
• Exposure to video streaming SDKs and multimedia-focused UX optimization is a strong plus;
• Bonus: Experience with AR features, Bluetooth/Wi-Fi communication, or e-commerce platform integrations.

Role Summary

We are looking for a Senior Data Scientist to lead the data intelligence layer of an AI-driven platform. This role focuses on extracting insights from structured and unstructured documents, building document processing and OCR pipelines, improving semantic retrieval systems, identifying information gaps in datasets, and maintaining high standards of data quality across end-to-end data workflows.
 

Key Responsibilities

• Design and improve OCR and document intelligence pipelines that convert complex PDFs and supporting files into structured, machine-readable data.
• Develop semantic retrieval workflows that identify relevant historical records and support recommendation systems based on similarity and contextual matching.
• Create data-driven methods to detect missing, incomplete, or inconsistent information within document-based datasets.
• Define and monitor data quality standards, validation rules, completeness checks, and anomaly detection mechanisms across data pipelines.
• Analyze structured and unstructured datasets to uncover patterns affecting operational performance, classification quality, and decision outcomes.
• Collaborate with machine learning engineers to prepare high-quality datasets for model training, validation, and iterative improvement.
• Develop labeling strategies, feature definitions, and dataset enhancement workflows for early-stage and production use cases.
• Evaluate the performance of retrieval systems, document extraction pipelines, and information coverage.
• Work closely with engineering and product teams to operationalize insights through dashboards, tools, and data-driven workflows.
• Communicate analytical findings, experiment results, and actionable insights clearly to technical and non-technical stakeholders.
   

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a related technical field.
• 5+ years of experience in data science, applied NLP, document intelligence, or analytics-focused roles. 
• Strong proficiency in Python and practical experience with data science libraries and NLP tooling. 
• Experience building document processing or OCR pipelines and working with semi-structured or noisy datasets.
• Strong understanding of embeddings, semantic search, retrieval evaluation, and similarity-based recommendation systems.
• Experience with data cleaning, validation, feature engineering, and dataset quality management.
• Ability to design experiments and translate analytical findings into product or model improvements.
• Strong SQL skills and solid analytical problem-solving abilities.
   

Nice to Have

• Experience working with AI systems in regulated or compliance-sensitive environments.
• Familiarity with multilingual NLP applications or systems that support multiple languages.
• Experience with vector databases or retrieval-augmented architectures.
• Exposure to annotation workflows and human-in-the-loop review processes.
• Experience building dashboards, defining operational KPIs, or supporting data-driven reporting.
  
  We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave

Role Summary

We are looking for a Senior ML Engineer who will be responsible for the end-to-end lifecycle of machine learning models, including design, training, evaluation, deployment, and ongoing optimization. In this role, the engineer will work on building and maintaining model ensembles, defining inference logic, establishing retraining workflows, monitoring model performance and drift, and integrating ML solutions into production systems that support real-time decision processes.

The platform follows a hybrid architecture where deterministic rule-based logic is applied first, and more complex scenarios are routed to a machine learning layer for deeper analysis.
 

Key Responsibilities:

• Design, train, fine-tune, and optimize machine learning models used for risk estimation, classification tasks, and automated decision support.
• Develop and maintain ensemble strategies that combine outputs from multiple models, including confidence-based routing and prediction aggregation.
• Build and manage retraining pipelines leveraging synthetic, curated, and eventually production-scale datasets to continuously improve model performance.
• Define evaluation methodologies, performance thresholds, fallback strategies, and human-in-the-loop review triggers for low-confidence predictions.
• Collaborate with backend and product teams to integrate model inference into real-time services and scalable production APIs.
• Improve model reliability, interpretability, and operational performance across early-stage and production workflows.
• Implement monitoring systems to track model drift, prediction quality, system latency, and conditions that trigger retraining.
• Explore and evaluate alternative domain-adapted foundation models when appropriate.
• Ensure traceability and auditability of model predictions while adhering to security, privacy, and deployment standards.
• Contribute to system architecture, MLOps practices, and deployment standards for machine learning solutions in secure cloud or on-premise environments.
   

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• 5+ years of practical experience building and deploying machine learning solutions in production environments.
• Strong proficiency in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
• Solid understanding of core ML concepts including supervised learning, classification, ranking methods, model calibration, and evaluation techniques.
• Experience adapting and fine-tuning domain-oriented models, as well as working with multi-model or ensemble-based approaches.
• Hands-on experience developing ML pipelines covering training, validation, deployment, and iterative retraining.
• Familiarity with integrating ML systems into API-driven services, as well as working with containers, CI/CD pipelines, and model serving infrastructure.
• Experience with experiment tracking, model version control, and monitoring model performance in production.
• Ability to work effectively with incomplete, evolving, or partially labeled datasets in real-world environments.
   

Nice to Have:

• Experience working with AI systems in regulated or compliance-sensitive environments.
• Familiarity with multilingual machine learning use cases or models designed to support multiple languages.
• Experience applying model explainability techniques, confidence estimation, and human-in-the-loop review workflows.
• Exposure to vector search, semantic retrieval methods, or document understanding pipelines.
• Experience building or operating ML solutions in privacy-sensitive environments with strict data protection requirements.
  
  We offer:
• Flexible working schedule
• Fully remote work
• Compensation for medical, educational and sports activities
• Professional growth opportunities
• Internal knowledge-sharing talks
• Awesome team events and activities
• Paid vacation and sick leave

Are you passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams.

At Sigma Software, we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment.

CUSTOMER
Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT
The project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care.

Responsibilities:

• Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas
• Build and maintain infrastructure using Terraform for cloud platforms
• Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
• Work with large datasets to optimize performance and ensure seamless data integration
• Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources into clean, understandable schemas

Requirements:

• Hands-on experience with cloud computing services in data and analytics
• Experience with data modeling, reporting tools, data governance, and data warehousing
• Proficiency in Python and PySpark for distributed data processing
• Experience with Azure, Snowflake, and Databricks
• Experience with Docker and Kubernetes
• Knowledge of infrastructure as code (Terraform)
• Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.
• Experience with stream processing technologies such as Kafka, Spark Structured Streaming
• At least an Upper-Intermediate level of English 

We are looking for a Senior DevOps Engineer to join our team!  

Requirements: 
- Excellent knowledge and regular 3+ years of experience with the following technologies:
- DevOps practices(IaC, CI/CD, GitOps)
- AWS Cloud (EKS, ECR, EC2, IAM, RDS, EBS, EFS, VPC, S3, Route53)
- Kubernetes at the CKA/CKS/CKAD certification level, real clusters management experience.
- Terraform: write, maintain, review, test, and improve complex solutions
- Helm: write, review, and test Helm charts and deploy releases
- Ansible: maintenance of roles and collections, deploy via automated pipelines, troubleshooting
- Basic network concepts knowledge

Will be plus:

- Experience of using and working with Openstack environments is a big plus
- Experience implementing or supporting Hashicorp Vault instances
- Monitoring (Grafana, Prometheus, Tempo, Loki)
- Debian Linux - installation, configuration and administration
- Ability to write and analyze basic bash or python scripts
- Experience completing CNFC, RedHat or other relevant certifications, not for the badge, but for the knowledge

Responsibilities:

The specialist will work in a DevOps team whose primary focus is developing standard and typical solutions using technologies such as Terraform, Ansible, and Helm. So good expertise in those technologies is required. We also deploy and support infrastructure that is based on a K8S clusters (without on-call duties). That means troubleshooting k8s and AWS cloud services. Strong knowledge of GitLab CI and ArgoCD gitops tool will help you greatly. Occasionally a linux system administration and bash/python scripting too. 

 

We are looking for a strong Python Backend Engineer to lead the development of next-generation real-time inference services in a large-scale mobile data platform.

The system processes billions of requests daily and requires extremely low latency, high throughput, and strong reliability. This role sits at the intersection of backend engineering, distributed systems, and ML model serving.

⚠️ Important: This role is focused on building inference infrastructure and real-time decision services, not on model training or algorithm research.

We are looking for an engineer who can design and scale high-performance distributed backend systems that run ML models in production and apply business logic on top of model outputs.

Responsibilities

• Design and develop low-latency real-time inference services
• Build scalable decision engines combining ML predictions with dynamic business logic
• Integrate services with feature stores and high-performance data layers
• Implement model versioning, shadow deployments, and runtime A/B testing
• Ensure high availability, observability, and performance of production systems
• Optimize latency, throughput, and infrastructure efficiency
• Collaborate with Data Science, Infrastructure, Product, and Engineering teams
• Propose and drive architecture improvements for distributed systems

Requirements

• 5+ years of experience as a Python Backend Engineer / Distributed Systems Engineer
• Strong experience building real-time or high-load backend systems
• Experience with low-latency APIs and async architectures
• Experience with ML model serving frameworks (FastAPI / BentoML / Triton / TorchServe or similar)
• Strong understanding of distributed systems architecture and message queues (Kafka / PubSub)
• Experience with cloud environments (AWS / GCP / OCI) and Kubernetes
• Experience with in-memory or NoSQL databases (Redis, Aerospike, Bigtable, etc.)
• Understanding of MLOps concepts and model deployment lifecycle
• Strong ownership mindset and ability to work independently
• Fluent English and strong communication skills

Nice to Have

• Experience building custom inference platforms
• Experience working with feature stores
• DevOps background
• Experience in high-scale product environments (AdTech / data platforms / real-time systems)
• Strong focus on performance optimization and system design

Hiring Process

• 2 stages: technical + interpersonal

About Us

We are a well-funded iGaming startup on a mission to redefine the future of online gambling. Built on a foundation of transparency, integrity, and responsible gaming, our next-generation SaaS platform empowers operators to launch and scale dynamic gambling experiences with unmatched speed and confidence.

Job Summary

As a Senior Product UI/UX Designer, you will be responsible for the end-to-end design of our Skin Gambling and Casino Platform and for creating features from scratch. You will leverage your exceptional UX and UI skills to create designs that are both user-friendly and aligned with our business objectives. Your role will involve close collaboration with stakeholders, the marketing team, the engineering team, the Head of Design, and the Chief Product Officer to ensure our product meets the highest quality and performance standards.
 

Required Qualifications 

• 5+ years of experience in product and UI/UX design, with full-cycle involvement in digital product development.
• Extensive experience (3+ years) in the iGaming/Gambling domain, with an understanding of its unique challenges and user expectations.
• Strong portfolio of iGaming/Gambling projects (minimum 1 large project or 2-3 small/medium ones), showcasing your product design skills with an emphasis on intuitive user flows, visual storytelling, and gambling features.
• Proven experience in the CS Skin Gambling domain is a strong must (at least one solid project).
• Experience in designing online casino mini-games (originals) from scratch.
• Advanced proficiency in Figma and Figma Plugins, including interactive components and smart animate prototyping, prototyping tools, and other industry-standard design software.
• Experience in building and maintaining scalable and consistent design systems.
• Skilled in rapid prototyping - developing MVPs under tight time constraints.
• Experience with A/B testing (split and multivariate) and validating design hypotheses.
• Working with UX metrics: CSAT, CES, NPS, Time on Task, Error Rate, and System Usability Scale (SUS).
• Familiarity with web and mobile design trends and standards within the gambling and online casino industry.
• Fluency in Ukrainian or Russian and proficiency in English for technical collaboration in a remote/global team setting.
• Ability to work within the CET/EET time zone.

Your Advantage

• Strong animation and illustration design skills. 
• Previous experience working in a start-up environment with rapid iteration cycles.
   

Key Responsibilities

Core Design & Execution:

• Own End-to-End Design: Lead the full design lifecycle (research, ideation, wireframing, prototyping, testing, visual design, implementation support) for features on the Skin Gambling and Casino Platform, from concept to launch and iteration.
• Create Features from Scratch: Conceptualize, design, and validate innovative new features that meet user needs and business objectives within the iGaming context.
• Develop Intuitive User Flows: Design seamless, efficient, and engaging user journeys for complex gambling mechanics (e.g., betting processes, wallet management, game discovery, promotions).
• Produce High-Fidelity UI: Craft visually compelling, on-brand, and user-friendly interfaces using advanced Figma capabilities (components, variants, auto-layout, interactive prototypes with Smart Animate).
• Rapid Prototyping & MVP Delivery: Quickly develop interactive prototypes and Minimum Viable Products (MVPs) under tight deadlines to validate concepts and facilitate fast iteration.

Strategy & User Understanding:

• Align Design with Business Goals: Ensure all design solutions directly support core business objectives, KPIs, and the unique commercial drivers of the Skin Gambling/Casino platform.
• Utilize UX Metrics: Define, track, and analyze key UX metrics (CSAT, CES, NPS, Time on Task, Error Rate, SUS) to measure design effectiveness and identify areas for improvement.
• Conduct User Research & Testing: Plan and execute appropriate user research (where feasible within constraints) and usability testing to validate designs and gather insights specific to the gambling audience.

Design Systems & Scalability:

• Build & Maintain Design Systems: Develop, document, govern, and evolve a scalable, consistent, and accessible design system for the platform to ensure efficiency and coherence across all products.
• Ensure UI Consistency: Champion and enforce design system usage and visual consistency across all features and platforms.
• Document Design Specifications: Create clear and detailed design specifications, assets, and guidelines for seamless handoff to the engineering team.

Validation & Optimization:

• Design & Analyze A/B Tests: Create distinct design variations, collaborate on hypothesis development, and analyze results of A/B (split) and multivariate tests to optimize user experience and business outcomes.
• Validate Design Hypotheses: Use data from tests, analytics, and user feedback to validate or refute design assumptions and guide iterative improvements.

Collaboration & Communication:

• Collaborate Cross-Functionally: Work closely with Product Managers (including the CPO), Engineers, Marketing, Stakeholders, and the Head of Design to define requirements, align on vision, and ensure the feasibility and quality of implementation.
• Present & Justify Design Solutions: Articulate design rationale, process, and decisions to stakeholders and team members, backed by research, data, and best practices.
• Facilitate Design Workshops: Lead collaborative sessions (e.g., design sprints, brainstorming) to solve complex problems and align the team.

Recruitment Process

1. Application Review (1-2 weeks).
   If you have not received a response from the recruiter, your experience is irrelevant to this vacancy.
2. Interview Stages (2-3 weeks).
   1. Prescreen Call with Recruiter - 30 min.
   2. Technical Interview with Head of Design - 1-1.5 hr.
   3. Test Assignment (optional).
   4. Final Interview with Chief Product Officer - 30-45 min.
3. Job Offer
4. Referrals: Employment and Background Check

We Offer

• Competitive compensation package (depends on your experience and skills).
• Fully remote work with flexible hours (within the CET/EET time zone) from any location of your choice.
• 29 business days of vacation and paid sick leave.
• Corporate equipment (laptops, monitors, etc.).
• Professional courses/certifications (200 EUR per year).
• Operating in a start-up environment with cutting-edge technologies and unlimited investments in software upgrades, free from legacy systems or outdated solutions.
• Values-driven culture with a friendly and supportive work environment.
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency.

We’re not looking for someone to just “join the team” - we’re looking for someone ready to shape the product, lead meaningful growth, and make an impact from day one.

If that sounds like you, send over your CV and let’s talk!

We are looking for a Lead Software Development Engineer to join a project focused on building and evolving a modern Data Lake / Lakehouse platform on Google Cloud Platform.

This role is a strong fit for an experienced software engineer / technical lead who enjoys solving complex engineering problems, working with distributed systems, and staying deeply hands-on in development. You will help shape core platform capabilities, guide a small engineering team, and contribute directly to implementation in a role where technical leadership and coding go hand in hand.

The project involves building infrastructure that supports large-scale data processing across batch and streaming workloads, integrating with cloud services, and delivering high-quality, production-grade solutions.

Responsibilities

• Design and implement core Data Lake / Lakehouse platform components
• Lead a small engineering team (Lead + 2 engineers)
• Contribute directly to development in a strongly hands-on role
• Review code and guide technical decisions across the team
• Build and support streaming data processing solutions using Apache Flink
• Coordinate technical alignment with Google Cloud services, including BigLake and KMS
• Identify risks early and manage dependencies across teams
• Ensure high code quality, documentation, and on-time delivery of features

Technology Stack

Apache Flink, Google Cloud Platform (BigLake, GCS, KMS), Java, Python, Data Lake / Lakehouse Architecture

Requirements

• 8+ years of experience in software engineering, data infrastructure, data platform engineering, or large-scale data systems
• Strong hands-on experience with Apache Flink
• Experience designing and building Data Lake / Lakehouse architectures
• Practical experience with Google Cloud Platform, including BigLake, KMS, and GCS ecosystem
• Solid programming experience in both Java and Python
• Strong Java background, with Java as the primary development language for this role
• Experience leading technical initiatives and mentoring engineers
• Strong communication skills and ability to explain complex technical decisions

Nice to Have

• Experience with Apache Iceberg
• OSS / open-source community contributions
• Cross-system integration experience

Benefits:

• Paid vacation and sick leave
• Official state holidays — 11 public holidays per year
• Professional growth through challenging projects and the opportunity to master new technologies
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support programs (discounts, healthcare, legal assistance)
• Paid external training, conferences, and professional certifications aligned with business goals
• Internal workshops, seminars, and English classes
• Corporate library with paper and e-books
   

We are looking for a Principal/ Staff Django Engineer to join Dataforest and lead our engineering team.
This is a leadership role focused on driving engineering processes, team growth, and technical decision-making, rather than hands-on coding. You will work closely with stakeholders to build scalable solutions and lead a growing engineering team.

Key Responsibilities:

• Lead and scale the engineering team (current and planned size: (20–25 engineers).
• Take ownership of engineering processes, delivery, and team performance.
• Drive technical decision-making and ensure scalable, high-quality solutions.
• Collaborate with product and business stakeholders to align technical and business goals.
• Build and improve development processes, workflows, and best practices.
• Mentor engineers, fostering a strong engineering culture.
• Ensure effective planning, prioritization, and execution across the team.

Requirements:

• 5+ years of experience in software engineering, including leadership roles (Tech Lead / Team Lead).
• Proven experience managing teams of 15+ engineers.
• Strong background in backend development (Python / Django).
• Experience in scaling teams and processes in product or complex projects.
• Solid understanding of software architecture and system design.
• Strong leadership, communication, and decision-making skills.
• Experience working with cross-functional teams and stakeholders.

Nice to have:

• Experience transitioning from hands-on engineering to leadership roles.
• Experience in fintech / payments domain.

We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Comfortable, spacious and well-equipped office in the city center;
• Team building activities, corporate events.

AWS, Linux, Docker, Kubernetes, Terraform, Logging solutions (ELK, EFK, Graylog), Monitoring solutions (Prometheus+Grafana), Configuration management tools (Ansible, Puppet, SaltStack, Chef), Hands-on experience with SQL (MySQL, PostgreSQL, MariaDB), NoSQL databases (MongoDB, Redis, DynamoDB, Elasticsearch), Message Broker systems (RabbitMQ, ActiveMQ, Kafka),CI/CD tools and version control (Jenkins, ArgoCD, GitHub actions)

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 

This is a full-time remote role for a DevOps Engineer. As a DevOps Engineer, your day-to-day tasks will involve infrastructure as code (IaC), software development, continuous integration, system administration, and Linux. You will be responsible for implementing and managing DevOps processes, optimizing cloud networks, and ensuring efficient deployment and operation of systems.

Requirements:

• Proficiency in infrastructure as code (IaC) and relevant tools
• Experience in software development and continuous integration
• Strong system administration skills
• Advanced knowledge of Linux
• Ability to work independently and remotely
• Excellent problem-solving and troubleshooting skills
• Good communication and collaboration skills
• English – Intermediate+  

Would be an advantage:

• Experience with cloud platforms and technologies
• Relevant certifications in DevOps or cloud technologies

What we offer:

• Competitive salary and social package 
• Flexible working hours 
• Mentorship and professional certifications support 
• Rewarding working environment and flexible career opportunities 

Mobihunter is an international mobile marketing agency specializing in user acquisition, retargeting, creative production, and brand-building services worldwide.

We are seeking an experienced and dynamic Senior Sales Manager to join our team.

Key Responsibilities:

• Identify and onboard new clients in the mobile app industry.
• Achieve sales targets, contributing to the company's growth.
• Build and maintain strong client relationships, understanding their needs and providing tailored solutions.

Requirements:

• Proven successful experience in B2B sales, specifically targeting mobile app clients.
• Excellent communication skills in English (C1 level).
• High energy, perseverance, and a sincere interest in mobile marketing.

What We Offer:

• KPI-oriented reward system with no upper limit.
• Opportunity to implement new ideas, develop new markets, and advance within the company.

• Flexible working hours and paid vacations.

   

Some more important things to know:

• We have a well-developed KPI system for this position. While the compensation includes a fixed component, we aim to emphasize achieving KPIs as the primary focus of the compensation package.
• We will prioritize candidates who demonstrate strong leadership ambitions, as we plan to grow the department and mentor a future department lead.

As a Senior AI Prototyping Engineer, you will work at the intersection of AI research, product engineering, and rapid experimentation. Your mission is to turn new AI capabilities into real, testable product experiences and help bring the best of them into production at Spark. You will collaborate closely with Product, Design, and our AI R&D team to explore ideas, build prototypes, evaluate them quickly, and help ship AI features to a global audience.

What you’ll do:

• Prototype new AI-powered features based on emerging AI capabilities
• Translate early ideas into end-to-end working prototypes
• Design and maintain evaluation pipelines (quality, latency, cost, reliability)
• Compare models, prompts, and approaches using metrics and structured evaluation
• Work closely with R&D to turn research insights into product-ready concepts
• Collaborate with product engineers to support production integration
• Iterate quickly based on evaluation results and product feedback
• Track relevant AI advancements and assess their applicability to Spark
   

About you:

• 5+ years of experience building software products or prototypes
• Hands-on experience working with LLMs and modern AI APIs
• Strong prototyping skills in at least one of: Swift, Java, Kotlin, TypeScript, Go or Python
• Experience building or using evaluation frameworks for AI systems
• Ability to compare solutions using metrics and data
• Product-oriented mindset with focus on real user value
• Strong communication skills across engineering, R&D, and product teams
• Comfort working on early-stage problems and defining solutions
   

Would be a plus:

• Experience with on-device ML (Core ML, LiteRT Next, ONNX)
• Familiarity with mobile or desktop product architectures (iOS, Android, Electron)
• Experience with supervised fine-tuning or tuning provider-hosted models
• Experience collaborating closely with designers or building demo UIs
• Prior work on AI features used by large user bases
   

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.