Jobs

Playson is a leading iGaming supplier operating in multiple regulated markets, delivering engaging casino content and advanced technology. We’re a fast-growing, tech-driven company that values innovation, autonomy, and ownership. At Playson, we welcome people who are curious, proactive, and passionate about solving complex challenges at scale.

We are ISO/IEC 27001 certified and committed to maintaining a robust security and compliance posture across all our operations.

About the Role

We are looking for a Security Lead to strengthen Playson’s information security framework and drive continuous improvement of our security culture. This role combines technical expertise, investigative focus, and process leadership - ensuring that our systems, data, and people remain secure, compliant, and resilient.

What will you be doing?

Information Security & Compliance

• Maintain and continuously improve the ISO/IEC 27001:2022 Information Security Management System (ISMS).
• Foster a strong Security-First mindset across the organization.
• Work closely with the CTO, Head of IT, and DevOps to enhance internal security controls.
• Conduct internal audits, risk assessments, and coordinate certification renewals.
• Update security policies and controls in line with ISO 27001, GDPR, and relevant international frameworks (e.g., NIST CSF and NIS2 principles where applicable).
  Manage integrations and alerting within Datadog SIEM, CrowdStrike, Cloudflare, and Google Workspace.
• Support DLP implementation and maintain central tracking of security events.
• Document risks, incidents, and corrective actions to ensure continuous compliance.

Incident Response & Investigation

• Lead investigations into security incidents such as phishing, data leakage, or unauthorized access.
• Collect and analyze digital evidence across systems (CrowdStrike, Cloudflare, Google, Slack).
• Maintain and enhance incident response playbooks and escalation workflows.
• Collaborate with HR, Legal, and IT teams during internal investigations.
• Produce post-incident reports and recommend remediation measures.

Endpoint & Access Security

• Manage MDM systems (Zoho MDM, Endpoint Central) and ensure full compliance for macOS endpoints.
• Maintain CrowdStrike Falcon configurations and endpoint posture enforcement.
• Oversee SSO, MFA, and 2FA enforcement across services (Google SSO, DUO Mobile, 1Password).
• Implement Just-in-Time (JIT) privilege elevation and regular admin access reviews.
• Perform Quarterly RAS Access Management Reviews.

• Maintain a consistent audit trail for access management throughout the year.

   

To succeed in the role, you will have:

• 3+ years of experience in information security, IT audit, or digital investigations.
• Solid understanding of ISO 27001, GDPR, and modern security frameworks (NIST CSF / NIS2).
• Hands-on experience with SIEM / EDR systems
• Proven ability to manage SSO, MFA, DLP, and MDM environments.
• Strong communication skills in English (B2 or higher).
• Analytical mindset, integrity, and attention to detail.

Preferred additional qualifications:

• Certifications: CISSP, CISM, CEH, ISO 27001 Lead Auditor, AWS Security Specialty.
• Experience with Zero Trust, PAM, DLP/CASB, or SOAR platforms.
• Forensics experience.
• Experience in designing awareness programs or running phishing simulations.

What you get in return:

• Competitive Salary: We offer a competitive salary in EUR, subject to annual performance reviews
• Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system
• Flexible Schedule: We offer a flexible work schedule to accommodate your needs
• Remote Work Option: Choose to work remotely, providing greater flexibility and comfort
• Medical Insurance: Receive comprehensive medical insurance for both you and a significant other
• Financial Support for Life Events: We provide financial support during special life events
• Unlimited Paid Vacation: Enjoy unlimited paid vacation leave
• Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary
• Professional Development: Get reimbursement for professional development courses and training

The recruitment process includes the following steps:

1. HR Interview (30-45 mins)

2. Technical interview with Service Desk & Security Lead (60 mins)

3. Final Interview with CTO and People Business Partner (60 mins)

Playson 🤘 is a leading online gaming supplier founded in 2012 that has developed worldwide recognition in the industry.

Our promotional features team is seeking a Senior Backend Engineer with a strong background in Node.js. This role is focused on developing and optimizing promotional features for our gaming platforms, where performance, scalability, and cutting-edge solutions are paramount.
If you’re a product-passionate person, your mind is keen to solve deep tech engineering problems, and you have a fast “PoC first” approach with a deep sense of ownership, we would love to hear from you.

To succeed in the role, you will have:

• A degree in Computer Science or related field
• Strong development experience in Node.js/TypeScript 5+ years
• Strong understanding of Async approaches
• Experience with Messaging systems like Kafka, RabbitMQ
• Experience in distributed systems
• Experience with RDBMs (MySQL, PostgreSQL etc.), CDBMs (Redshift, ClickHouse etc.), NoSQL (DynamoDB, MongoDB, etc)
• Experience in writing e2e & unit tests
• Experience with development production-ready solutions
• Hands-on product experience with Kubernetes

Would be beneficial to know:

• Understanding of enterprise development patterns
• Experienced with large-scale microservices architecture
• Experience with cloud providers (AWS, GCP, etc.)
• Active performance observation
• Gambling domain experience
• Understanding of application security and industry standards, its best practices

What will you be doing?

• Develop and maintain robust backend systems for our promotional features.
• Optimize existing systems for enhanced performance and scalability.
• Lead technical decisions and contribute to our SaaS solutions.
• Collaborate with distributed teams to innovate and implement new features.
• Ensure code and architectural excellence through reviews.
• Address complex technical challenges with innovative solutions.

What you get in return:

• Competitive Salary: We offer a competitive salary in EUR, subject to annual performance reviews
• Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system
• Flexible Schedule: We offer a flexible work schedule to accommodate your needs
• Remote Work Option: Choose to work remotely, providing greater flexibility and comfort
• Medical Insurance: Receive comprehensive medical insurance for both you and a significant other
• Financial Support for Life Events: We provide financial support during special life events
• Unlimited Paid Vacation: Enjoy unlimited paid vacation leave
• Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary
• Professional Development: Get reimbursement for professional development courses and training

Join us today!

About the Product:

We power a proprietary, machine-learning-driven platform for programmatic user acquisition and retargeting in the mobile app space. The system processes tens of terabytes of raw data each day and generates millions of ad recommendations in real time. It handles millions of requests per second, delivering low-latency, high-throughput services that directly impact client growth and revenue.

About the Role:

As Full Stack Team Lead, you will own the design, implementation and maintenance of our core real-time ad-serving infrastructure. You will rally a globally distributed team of four engineers behind a shared vision, drive technical direction and ensure high performance, availability and security. This role demands a hands-on leader who spends roughly half their time coding, reviewing designs and guiding end-to-end project delivery, and half their time on team management, sprint planning and stakeholder collaboration.

Key Responsibilities:

• Design, implement and operate large-scale, highly available, real-time (low-latency) services using Node.js, TypeScript, React, Redis and Kubernetes on AWS.
• Lead and mentor a team of four distributed engineers; conduct code reviews, design reviews and knowledge-sharing sessions.
• Collaborate with executives, product managers, data scientists and designers to translate requirements into technical solutions.
• Design, develop and integrate RESTful APIs and third-party services.
• Plan, groom and manage agile sprint cycles; track progress and adjust priorities to meet delivery goals.
• Define and enforce security best practices and data protection policies across services.
• Oversee on-call rotation and incident response; maintain low alert rates and rapid recovery processes.
• Manage team operations including onboarding, offboarding, performance reviews and hiring support.

Required Competence and Skills:

• 6+ years of professional experience in backend (Node.js preferred) and frontend development (React, Vue or Angular).
• 2+ years in a people-management or team-lead role, with direct experience conducting one-on-ones and performance reviews.
• Strong experience building and operating complex, large-scale systems (beyond standard web services).
• Proficiency with SQL and NoSQL databases, including experience with performance tuning and optimization at scale
• Experience deploying and operating services on a major cloud platform (AWS, Google Cloud or Azure).
• Deep understanding of the software development lifecycle and agile methodologies.
• Strong problem-solving skills, self-sufficiency and a proactive “can-do” attitude.
• Fluent English communication skills, both written and verbal.
• Hands-on familiarity with Kubernetes at production scale

Nice to Have:

• Experience coordinating with offshore development teams.
• Background in web-based SaaS platforms.
• Exposure to large-scale data processing or Big Data technologies.

We are looking for an experienced Head of Payments to lead our payment infrastructure. You will be responsible for the full cycle of payment operations, focusing on Tier 1 & Tier 2 markets, optimizing success rates, and managing high-risk PSP relationships.

Key Responsibilities:
 

• Strategy: Scale payment solutions for Tier 1 & Tier 2 GEOs.
• Partnerships: Source, negotiate, and integrate new PSPs, Acquirers, and APMs.
• Optimization: Maximize Success Rates and minimize transaction costs/latencies.
• Risk Management: Oversee anti-fraud, chargebacks, and compliance (AML/KYC).

• Analysis: Monitor P&L per payment method and provide data-driven reports.

   

Requirements (Must-have):
 

• 3+ years in a senior Payments role within iGaming/Gambling.
• Expertise in High-Risk processing (Cards, P2P, Crypto).
• Strong network of active contacts with PSPs and acquiring banks.
• Experience with Tier 1 & Tier 2 regulatory and payment landscapes.
• Upper-Intermediate English and strong negotiation skills.

Our offer:
 

• Flexible work setup - work remotely or from the office, we focus on results, not location;
• Support for a comfortable work environment - we compensate coworking expenses and EcoFlow power stationsto help our team stay productive during power outages in Ukraine;
• Unlimited vacation and sick leave, because we trust our people to manage their time responsibly;
• Relocation support for team members who want to move;
• Regular performance-based bonuses that reward individual and team impact;
• Learning support - we cover 50% of professional courses and development programs;
• Language & wellbeing support - we cover 50% of English classes and psychological consultations;
• Career growth opportunities - we prioritize internal promotions and development;
• Team culture that actually feels like one - regular gifts, company merch, and team events throughout the year;
• Real impact - we are small enough for every voice to be heard and big enough to turn great ideas into action quickly.

We are looking for a skilled Senior UX/UI Designer with expertise in motion design and animation to create engaging casino game experiences. If you understand slot game mechanics, animation principles, and player psychology, we want to hear from you!

Responsibilities

• UX/UI Motion Design — Create high-quality animations and effects for an immersive player experience.
• Game Animation Development — Design animations that enhance slot game mechanics and player engagement.
• Responsive Design — Adapt animations for desktop and mobile platforms.
• Player Psychology & Engagement — Implement animations that maintain excitement without overstimulation.
• Technical Implementation — Integrate animations into HTML5 slot games and optimize performance.
• Compliance & Regulations — Ensure animations meet iGaming regulatory standards.

• Collaboration & Documentation — Communicate effectively with the team and maintain clear documentation.

   

Requirements

Must-Have:

• 3+ years of UX/UI design experience with a motion design focus.
• Strong knowledge of animation principles (Disney’s 12 Principles).
• Experience with Spine 2D, DragonBones for game animation.

• Proficiency in Adobe After Effects, Photoshop & Illustrator.

   

Nice-to-Have:

• Experience with particle effects & VFX for big-win moments.
• Understanding of slot game mechanics and UI clarity.

• Knowledge of HTML5 animation troubleshooting.

   

Why Join Us?

• Work on exciting iGaming projects with a talented team.
• Creative, innovation-driven environment.
• Competitive salary and remote-friendly setup.

If you’re passionate about motion design in gaming, apply now!

Senior React Native Engineer / Mobile Tech Lead (Full Ownership Role | Ukraine)

We are looking for a strong Senior React Native Engineer ready to take full ownership of a mission-critical mobile app (iOS + Android) used at scale in production.

This is not a feature-only role — it’s a Mobile Owner / Tech Lead-level position, responsible for the entire lifecycle of the app.

🔧 Product context (high-level)

A logistics & delivery platform with:

AI-powered route optimization
Real-time order tracking
Integrated chat (sales / support / fulfillment)
Self-scheduling for deliveries
Driver-facing mobile operations app
💡 Core responsibilities
Full end-to-end ownership of the mobile app (iOS & Android)
App maintenance, releases, production stability & incident handling
Major refactoring of a legacy React Native codebase
Designing and implementing offline-first architecture (critical)
GPS / geolocation + background tracking implementation (critical)
REST API + real-time event integration
Performance, reliability, and architecture improvements
Native module integration (Swift/Kotlin when needed)
Release management and production readiness ownership
🧠 Who we are looking for
5+ years in mobile development, 3+ years in React Native
Strong experience with pure React Native (no Expo)
Proven background in offline-first mobile apps
Hands-on experience with GPS / background location tracking
Strong debugging skills in complex production RN apps
Experience with both iOS & Android release cycles
TypeScript + modern React patterns

Help Build Technology That Saves Lives

Areti Health is a venture-funded Silicon Valley healthcare technology startup transforming how patients join clinical trials.

Using generative AI, we dramatically accelerate clinical trial enrollment for pharmaceutical, biotech, and medical device companies, helping life-saving therapies reach patients faster.

Our AI platform achieves up to 10x higher patient conversion rates compared to traditional human-driven recruitment. By automating outreach, answering patient questions, scheduling appointments, running pre-qualification questionnaires, and assisting with onboarding, we compress recruitment timelines from months to weeks.

We already work with some of the largest clinical research site networks in the United States and are an official partner of CRIO, one of the leading clinical trial management systems.

If you're excited about building real-world AI systems that impact healthcare, we'd love to talk.

About the Role

We’re looking for a Staff Software Engineer who will act as a technical leader and force multiplier across our engineering team.

This is not just a senior individual contributor role, you’ll help shape how we design systems, build software, and adopt AI-assisted development practices.

You’ll work primarily in Python, building systems that integrate large language models (LLMs) into real healthcare workflows used by clinical research organizations and patients.

Beyond shipping product, you'll help elevate the engineering quality bar, architecture, and development practices across the company.

What You’ll Do

• Design, build, and own core systems in our Python-based platform
• Develop and scale LLM-powered features integrated into healthcare workflows
• Lead technical direction for your domain, balancing speed, simplicity, and long-term maintainability
• Mentor engineers through code reviews, design discussions, and pairing
• Champion engineering best practices including:
  • testing
  • observability
  • documentation
  • CI/CD
    
     
• Pioneer the use of AI-assisted engineering tools across development workflows (coding, testing, documentation, and reviews)
• Collaborate with product, design, and clinical teams to translate complex healthcare requirements into reliable systems
• Identify improvements to engineering processes, tooling, and team workflows
• Contribute to hiring and evaluating engineering candidates

What We’re Looking For

• 8+ years of professional software engineering experience
• Deep proficiency in Python
• Strong system design and architecture skills, with experience building production systems at scale
• A track record of technical leadership through influence, mentoring engineers without formal management authority
• Experience working in remote, distributed engineering teams
• Curiosity and enthusiasm for AI-assisted software development
• Clear communication skills in written and spoken English
• A pragmatic mindset with a bias toward simplicity and shipping

Nice to Have

• Experience in healthcare, health-tech, or clinical research
• Familiarity with HIPAA, SOC 2, or other compliance frameworks
• Hands-on experience with LLMs, prompt engineering, or AI/ML model integrations
• Experience building AI-enabled production systems
  
   

What We Offer

• Competitive salary
• Paid holidays and vacation
• Remote work with a talented, mission-driven team
• The opportunity to work on cutting-edge generative AI applications in healthcare
   

Most importantly, you'll help build technology that accelerates clinical trials and saves lives.

If you're excited about building impactful AI systems and raising the engineering bar in a fast-moving startup, we'd love to meet you.

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. They are looking for a talented, innovative and creative Golang Developer to join the platform team. They believe that great technology experts are also software generalists who are unafraid to jump up and down the stack to solve the problems that come their way. If you thrive in fast-paced environments, and like working on software that supports millions of daily users, then this opportunity is exactly what you’ve been looking for!

Their Software Engineering team is responsible for building out SaaS solutions used by educational organizations across the globe. The team works on a wide variety of projects, solving existing problems and enabling new business objectives. Their platform is evolving, so you need to be someone who can build new functionality and learn new technologies quickly as well as be able to maintain and extend existing code to support organizational needs.

As a Senior Golang Engineer, you will:

• Develop new features, components, and modules to support organizational growth;
• Implement a robust set of services and APIs to power high-trafficked SaaS platform;
• Participate in planning, analysis, and design of new software solutions;
• Investigate, troubleshoot, and remedy performance bottlenecks in the application flow;
• Learn new technologies and keep up with both traditional and emerging best practices;
• Works independently and collaborates with other team members to ensure successful project delivery.

Qualifications:

• Senior level knowledge of Golang;
• 8+ years of production experience in software engineering and SaaS product development;
• Strong communication and listening skills; ability to communicate complex technical problems, root cause analysis, and propose solutions;
• Experience using AI developer tools (e.g., Codex), with an AI-forward mindset;
• At least Upper-intermediate level of English (B2 or higher);
• Experience with designing and building scalable solutions;
• Experience with modern design patterns such as SOA and microservice architecture;
• Strong knowledge of relational databases (ex. PostgreSQL) and Databricks (a plus);
• Excellent debugging and testing skills, and an interest to quickly learn new technologies;
• Experience with Agile methodology and software development;
• Commitment to following security, accessibility and performance best practices;
• Self-starter with strong sense of collaboration, teamwork, and accountability;
• Ability to quickly adopt to new environment;

• Working knowledge of AWS and familiarity with its services (Kubernetes, Redis, SQS/SNS, etc.);

   

We offer:

• Competitive market salary;
• Fully remote work;
• Convenient and somewhat flexible work hours (you will have to work until 8 pm Kyiv time GMT+3, or 1 pm EST);
• 28 days of paid time off per year;
• Working on a very socially valuable product, alongside a highly professional, US-based, international team;
• Interesting challenges and the ability to grow and learn.

We're building a company at the intersection of payments infrastructure and data products — combining transaction execution with structured financial data that is enriched, explainable, and ready for both operational and AI-driven workflows.

What You'll Be Working On

• You'll own the company's full technical direction: architecture, reliability, delivery, infrastructure, and the people who make it happen.
• Define and drive architectural strategy, introducing clear engineering governance — RFCs, tech radar, vendor evaluation, and practical risk management — without unnecessary bureaucracy.
• Lead the evolution of a high-load, event-driven platform with a focus on scalability, resilience, and fault isolation.
• Own reliability and incident management: observability, SRE practices, incident response, and postmortem culture — with a goal of better uptime, faster detection, and fewer repeated issues.
• Oversee engineering hiring, performance, and development of tech leads; build a culture of end-to-end ownership and accountability.
• Manage cybersecurity protocols, disaster recovery, and business continuity in collaboration with DevOps.
• Drive infrastructure efficiency, cost control, and continuous performance improvement through centralized observability and clear ownership.
• Act as a bridge between engineering teams and executive stakeholders, ensuring technical decisions align with business goals.
• Champion automation, AI integration, and engineering process optimization.
• Design APIs and integration strategies; establish coding, architectural, and infrastructure standards.

What You Need to Succeed

• Proven experience as a CTO, Head of Engineering, or Principal Architect in a high-load SaaS, fintech, or infrastructure company.
• Deep expertise in distributed systems, event-driven architectures, and microservices — including how they behave at scale in production.
• Strong hands-on development background, especially in Go and Python
• Track record of improving reliability, delivery speed, and infrastructure efficiency (uptime, MTTR, MTTD, release cadence, cloud cost).
• Solid understanding of DevOps, CI/CD, SRE, and incident management at scale.
• Comprehensive technical background across architecture, cloud platforms, security, and distributed systems, with a focus on scalability, reliability, and strategic technology leadership.
• Familiar with PCI DSS compliance and secure system design.
• Skilled at hiring and mentoring strong engineers and tech leads.
• Comfortable with vendor evaluation, negotiation, and tooling decisions.
• You understand how engineering decisions affect revenue, risk, and customer trust.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

About the role:

SPD Technology is building a centralized AI Development Division (AI Studio) to unite efforts and enhance the revenue stream through AI-inclusive client engagements. The Head of AI Development will own this from zero: winning AI-related deals alongside BizDev, delivering solutions, building a team, and establishing SPD as a credible AI engineering partner.

This is a build-and-ship role. Value is proven through won deals, delivered projects, and satisfied clients.

Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. 

As a qualified expert You will

Pre-sales & Solution Architecture

• Lead technical discovery and solution design for AI opportunities
• Produce solution-grade proposals: architecture, scope, risk assessment
• Present to clients; partner with BizDev on positioning and differentiation
• Build reusable pre-sales assets: reference architectures, case studies, estimation frameworks

AI Studio Delivery

• Stand up and operate the AI Studio as first-choice platform for AI-heavy work
• Deliver across models: full ownership, component delivery, advisory, embedded expertise
• Build reusable delivery frameworks and accelerators
• Manage cross-team resource collaboration during ramp-up

Team Building

• Hire 2–3 engineers in first 6 months, scaling to 5–8 based on demand
• Define team composition balancing pre-sales support with delivery capacity
• Build career paths that attract and retain strong AI engineers

Innovation & Knowledge Leadership

• Lead pragmatic R&D with clear objectives and success criteria
• Contribute to AI community of practice: tech talks, mentoring, knowledge sharing
• Generate external thought leadership: conference talks, case studies, publications

Cross-Functional Integration

• Connect Studio work with Sales, Marketing, and Account Management
• Collaborate with L&D on AI education for broader engineering staff qualification with AI skills
• Operate as organizational asset — proactive engagement, not isolated silo

We’re looking for you if you have

• Production experience designing and delivering AI systems (LLMs, RAG, agentic workflows — not just POCs)
• Non-dogmatic understanding of AI technology boundaries and architectural trade-offs
• Proven client-facing capability: leading discovery, scoping solutions, presenting to executive and technical audiences
• Consultancy mindset: discovery and analysis as value, not just build
• Team leadership experience (3–5+ people); evidence of people growing under their leadership
• Success operating in matrix/federated organizations without direct authority
• Pragmatic R&D skills: bounded research plans, clear success criteria, ROI discipline

Highly desired 

• Data architecture literacy: understanding of data pipelines, ETL/ELT patterns, vector databases, data quality, and governance — sufficient to design end-to-end AI solutions and direct data engineering work
• Broader AI/ML background beyond GenAI (classical ML, deep learning, CV, NLP)
• Understanding of sales cycles, marketing positioning, account management dynamics
• Recognized technical authority that earns respect from senior AI practitioners

Beneficial

• Passion for training and enablement — sees knowledge sharing as contribution
• Marketing and positioning savvy — can produce technical content for market differentiation
• Experience with technology vendor partnerships and co-marketing

Nice to have 

• Startup or 0→1 experience
• Academic/research connections in AI
• Distributed team experience across cultures

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Interview steps

1. Pre-Screen (Recruiter) — resume vs. must-haves, motivations, salary alignment
2. HM Interview (VP Delivery) — career arc, leadership philosophy, organizational fit, consultancy mindset
3. Tech Interview – System Design — architecture exercise with trade-off decisions (AI/ML technical panel) & AI/ML Depth — case study of system they built; technical Q&A on GenAI and classical ML
4. BizDev Interview (VP BizDev) — client discovery role-play, pre-sales collaboration model
5. VP / BU Interview (BU Heads) — Pod operating model discussion, collaboration expectations
6. Final HM Interview (VP Delivery) — 90-day alignment, mutual expectations, reference check plan

We are looking for a Head of Engineering Productivity (AI-Enabled) to join us as part of our team.

About the role:

The Head of Engineering Productivity (AI-Enabled) drives SPD Technology’s transformation toward a modern, AI-augmented software delivery lifecycle (SDLC) — not limited to engineering, but including product management, architecture, design, QA, and support functions.
This senior leader owns the strategy, enablement, and measurable improvement of delivery productivity across all BUs through AI-assisted workflows, engineering excellence, modern SDLC practices, and next-generation tooling.

The role is 80% focused on delivery productivity & SDLC modernization, and 20% on broader organizational AI enablement and cultural development.
A strong candidate combines engineering leadership experience with hands-on understanding of modern AI tools, continuous curiosity about the AI landscape, and a business-first mindset to ensure SPD provides competitive, future-ready services to clients.

The ideal leader is genuinely passionate about AI, keeps up-to-date with industry evolution, and can inspire teams by translating AI potential into clear, practical, safe, high-impact delivery improvements which leads to reduction of development costs and maximizing value delivered to clients.

Schedule: The work schedule is flexible with the requirement to attend all meetings.

As a qualified expert, You will be responsible for:

— SDLC Modernization & Engineering Excellence

• Lead SPD’s SDLC evolution (including engineering, PM, QA, architecture, design) with AI-enabled workflows and productivity standards.
• Maintain and regularly evolve playbooks, templates, and delivery excellence practices.
• Introduce and scale AI-assisted development patterns: coding, testing, estimation, architecture, workflow optimization.
• Run productivity-oriented R&D, experiments, and proof-of-value initiatives.

• Drive improvements through the AI Productivity Board and collaborate with architects, EMs, PMs, QA leads, designers, and BU leadership.

   

— Developer & Delivery Tooling Leadership

• Own the strategy, evaluation, and rollout of AI-augmented development tools (Copilot, Cursor, JetBrains AI, Claude Code, agentic dev tools).
• Build structured ROI and usage feedback loops to maximize developer and delivery efficiency.

• Collaborate with IT, Security, and Compliance on safe, compliant, scalable enterprise deployments.

   

— BU Enablement, Adoption & Cross-Org Rollout

• Support and coordinate BU-level AI Productivity champions.
• Define structured adoption frameworks, onboarding guidelines, and tooling standards.
• Facilitate BU-level dashboards and reporting for productivity and tool adoption.

• Ensure rollout is aligned with BU delivery constraints, client needs, and engagement realities.

   

— AI Culture, Education & Knowledge Sharing

• Foster an AI-first, problem-first mindset across the whole delivery organization.
• Co-own AI learning paths for engineers, PMs, QA, BA, and product teams with L&D.
• Maintain knowledge assets: internal patterns, best practices, reference materials, demos, meetups, communities of practice.

• Inspire teams through hands-on expertise, up-to-date knowledge, and practical examples.

   

— Tool Governance & Safe AI Usage Standards

• Define guidelines for prompting, AI coding patterns, testing, accuracy validation, and workflow guardrails.
• Maintain AI usage standards and policies together with Security & Compliance.

• Anticipate and mitigate risks including data exposure, misuse, and resistance to change.

   

— Performance Measurement & Impact Tracking

• Define and maintain AI productivity KPIs and qualitative indicators.
• Track adoption, satisfaction, and measurable improvements across all BUs.
• Provide regular visibility and insights to executive leadership.

• Ensure continuous feedback loops with delivery teams, architecture, and tooling stakeholders.

   

— Leadership Transparency, Insight & Strategic Support

• Support the VP Delivery in shaping SPD’s AI productivity strategy.
• Communicate progress, insights, expectations, and risks clearly to leadership.

• Help leadership anticipate and plan for evolving AI technology and productivity opportunities.

   

Goals for the Role:

Strategic Goal

Strengthen and secure SPD Technology’s client base by establishing confidence that SPD delivers cost-efficient, high-quality services powered by AI-augmented development and modern SDLC practices, consistently outperforming industry standards.

Applied Layer (Immediate / Day-One Focus)

Establish measurable productivity and AI-adoption baselines across all delivery teams, including clear KPIs, qualitative indicators, and tracking mechanisms.

Ensure delivery teams are fully equipped—methodology, tools, education, governance, playbooks—to operate a modern AI-driven SDLC that reflects (and exceeds) current industry practices.

Demonstrate consistent, tangible productivity growth tied to AI-augmented development patterns, improved workflows, tooling adoption, and broader SDLC enhancements.

Build trust and operational reliability around AI-enabled processes, ensuring teams know when and how to apply AI effectively, safely, and efficiently.

Business Layer (Growth / Strategic Evolution Areas)

Shape a holistic SPD-wide viewpoint on how to increase value delivered to clients in the post-AI era—connecting productivity gains, faster delivery, improved quality, and new solution capabilities.

Define monetizable opportunities enabled by AI-driven delivery: accelerators, reusable components, AI-enhanced services, low-code/no-code integrations, and advisory offerings.

Prepare SPD leadership and teams to evolve the business model to remain competitive as AI technologies progress—aligning service portfolio, roles, skillsets, pricing models, and engagement structures with the future demands of clients.

Strengthen SPD’s market positioning as a forward-looking, efficient, AI-enabled engineering partner that can both scale reliably and drive innovation.

We’re looking for you if you have:

• 5+ years in engineering management, DevEx, delivery excellence, or SDLC leadership roles.
• Strong understanding of end-to-end SDLC (including product, architecture, QA, design, and support).
• Hands-on experience with AI-assisted development tools (Copilot, Cursor, Claude Code, test-gen tools, etc).
• Solid understanding of AI fundamentals (LLMs, RAG, agentic workflows, transformers) and desire to stay up-to-date.
• Experience leading cross-functional initiatives and influencing teams in a matrix organization.
• Strong communication, stakeholder management, and coaching abilities.
• Experience running structured rollouts, experiments, pilots, and transformation initiatives.
• KPI-driven, analytical mindset with ability to measure impact.

• Knowledge of AI-related security, compliance, and safe tooling usage standards.

   

Would be a plus:

• Master’s degree in a related field.
• Experience with cloud platforms (AWS, Azure, GCP), microservices, containerization (Docker, Kubernetes)
• Experience in large-scale system design and distributed systems.

• Experience leading architecture review boards or similar governance bodies.

   

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learning through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Embrace the opportunity to innovate with us!

Interview steps

1. Pre-Screening with the recruiter
2. Hiring Manager Interview (60–90 min)
3. HR Interview (45 min)
4. Technical Leadership Interview (60–120 min)
5. Leadership Panel Interview (45 min)
6. Final Alignment Interview (60–90 min)

Who we are:

We’re a Ukrainian multi-product company building powerful tools for database management, data connectivity, and productivity — trusted by over 500,000 users across 120 countries. Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products.

We’re committed to enhancing the experience of our customers across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals. Among our clients, you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and many other companies that deserve their place in Fortune-100 and Fortune-500.

Whether it’s global companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management
 

Product that needs your engagement:

Mobion is a cloud-based white-label platform for ride-hailing and corporate transport services. Launched in 2016 by Devart, it supports operators in 6+ countries and has handled over 20 million rides for 4M+ users and 500K drivers.

Our ecosystem includes rider and driver apps, a real-time dispatch system, admin dashboards, and branded web portals — all backed by a secure, scalable Azure infrastructure. We offer both SaaS and franchise models to help partners grow fast across regions.
 

Your mission:

As Head of Engineering at Mobion, your mission is to transform engineering into a true strategic growth engine — not just a delivery function.

You will architect the technological foundation that enables Mobion to scale across countries, handle millions of rides reliably, and continuously reduce time-to-market in a highly competitive mobility space.

This is a role for a builder and a system thinker.
You will design a scalable, future-proof platform, elevate engineering standards, and cultivate a high-performance organization where ownership, speed, and technical excellence coexist.

You won’t simply lead teams — you will define how engineering shapes product innovation, operational efficiency, and long-term business advantage.

The impact you will make:

• Technical Strategy & Alignment
  Define and own the long-term technical vision aligned with Mobion’s growth strategy (SaaS+ Franchise expansion). Translate business objectives into scalable architecture and execution roadmaps. Act as a strategic partner to the Head of BU and Product leadership.
• Architecture & Innovation
  Lead high-level architectural decisions for a distributed, real-time ride-hailing ecosystem (dispatch, mobile apps, admin tools, APIs). Ensure platform scalability, performance, and resilience under growing load and regional expansion.
  Drive Buy vs. Build decisions and continuously evolve the tech stack.
• AI & Automation Strategy
  Lead the integration of AI-driven capabilities into the product and engineering workflows, including:
  -Demand prediction & dynamic pricing optimization
  -Smart dispatch & route optimization
  -Fraud detection & anomaly monitoring
  -AI-assisted development (code review automation, test generation, performance analysis)
  Build a roadmap for leveraging AI to improve both customer value and internal engineering productivity.
• Engineering Leadership & Team Growth
  Own hiring, onboarding, and retention strategies. Define competency frameworks, career paths, and drive continuous growth of engineering talent and knowledge sharing.
• Operational Performance & Delivery Excellence
  Set KPIs for engineering leads, run performance reviews, and own PDPs. Optimize the SDLC to ensure predictable delivery, quality, reliability, and security.
• Culture & Ways of Working
  Foster a culture of ownership, accountability, and technical excellence. Champion Agile/Scrum and DevOps best practices across teams.
• Resources, Budget & Operations
  Plan and manage engineering resources, capacity, budgets, and vendor relationships.
• Reliability, Security & Compliance
  Act as the final escalation point for critical incidents. Ensure robust incident management, disaster recovery, and compliance with security and data protection standards (Fintech / Ride-hailing).

Your future challenges:

• Scaling Mobion to new countries while maintaining architectural integrity
• Improving estimation accuracy and predictability across teams
• Reducing time-to-market without increasing technical debt
• Managing platform complexity as the product ecosystem grows
• Implementing AI-driven features in a way that delivers real business value
• Ensure platform reliability (SLA/SLO), system scalability, incident reduction
• Strengthening cross-functional collaboration between Engineering, Product, and Operations
• Building a strong second layer of engineering leadership

We’re looking for someone who:

• Has 5+ years of experience in software engineering, including 2+ years in a senior leadership role (e.g., VP of Engineering, CTO, Head of Engineering), ideally within high-load systems or the ride-hailing / logistics domain.
• Can translate business objectives into technical strategy and long-term roadmaps.
• Has proven experience leading cross-functional teams (Engineering, QA, DevOps) and managing capacity and resource allocation.
• Possesses a deep understanding of software development methodologies and process optimization.
• Has a strong architectural-level understanding of Node.js, React, and microservices (to guide and challenge the team, not necessarily to code).
• Has experience planning and managing technical budgets, infrastructure costs, and engineering resources.
• Demonstrates solid knowledge of AWS / Google Cloud / Azure, CI/CD pipelines, and scalability & reliability principles.

Soft Skills:

• Ownership & accountability
• Cross-functional teamwork
• Strategic thinking
• Analytical & systems mindset

Benefits you get:

Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices

Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you feel like your skills could be useful in other positions or team

We are a perfect match if you share our values

We are professionals in our field and enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value open and transparent communication, with honesty and trust at the core.

We are open to new things and constantly develop through regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential on a solid foundation.
 

Our Hiring Process:

• Recruiting interview
• Product Interview
• Technical Interview

• Offer call

   

We approve of a flexible approach, so these steps might be changed individually.

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted.

The timeframe for feedback between interview stages may take up to 2 weeks.

Dataforest is looking for Head of Delivery / Head of Operations
This role carries full accountability for strategy execution, operational efficiency, team leadership, and business development across existing Dataforest projects.

Responsibilities:

•  Define and drive delivery strategy on each project, aligning execution with business goals, client expectations, and long-term scalability;
• Lead and continuously improve delivery processes across multiple teams to increase predictability, speed, and quality of execution;   
• Build and maintain strong client partnerships, ensuring transparency, trust, and clear expectations around timelines, scope, and delivery commitments;
• Take full ownership of delivery performance metrics (timelines, budget, quality, profitability), with a strong focus on delivery predictability and operational excellence;
• Support teams in planning, risk management, issue resolution, and change management to keep projects on track; 
• Coordinate up-sales and scope definition, ensuring realistic commitments, accurate estimations, and sustainable delivery models;
• Identify and allocate the right delivery resources (Tech Leads, designers, QA, PMs) in collaboration with internal teams to support timely execution;
• Monitor and manage key financial indicators (gross margin, earned value), ensuring delivery efficiency and profitability;                       
• Take full responsibility for budgets, operational efficiency, and financial performance.

• Act as a strategic partner to C-lvl and department heads in scaling delivery operations and introducing process improvements. 

   

Must have:

• 5+ years in Product Management, Operations, or Leadership roles.
• SWE background.
• Deep understanding of operational management principles and customer service. Experience building processes (PM and Delivery) in complex organizations.
• Experience at outsource companies.
• Strong analytical and systems thinking; data-driven decision-making.
• Proven experience in process optimization and cost reduction.
• Ability to work effectively in a multitasking and high-pressure environment.
• Proactivity, responsibility, and a results-oriented mindset.
• Confident proficiency in Ukrainian and English.

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 nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.       

📍 Uzbekistan (office) / Remote
💼 Full-time

We are looking for an experienced AI Engineer to work on real-world AI solutions, focusing on LLM-driven systems, automation, and production-ready AI applications.

Responsibilities:

• Develop and deploy AI/ML solutions with a focus on LLM-based systems and automation workflows
• Build and optimize ML pipelines for real-world applications
• Work with large-scale datasets and model training
• Integrate AI solutions into production environments
• Contribute to system design and AI architecture
• Run experiments and evaluate new approaches in applied AI
• Collaborate closely with engineering, product, and business teams

Requirements:

• 4+ years of experience in AI / ML / Data Science
• Strong Python skills
• Hands-on experience with TensorFlow / PyTorch / HuggingFace
• Practical experience with LLMs, NLP, or Generative AI
• Understanding of ML pipelines and MLOps
• Experience deploying models into production
• Solid foundation in algorithms and mathematics

Nice to have:

• Experience building AI products or automation solutions from scratch
• Experience with AI agents
• Familiarity with vector databases and RAG architectures
• Experience integrating AI into business workflows

What’s offered:

• Work on applied AI solutions with real business impact
• Strong engineering and research environment
• Opportunity to influence architecture and technical decisions
• Remote work format (with an option to work from an office in Uzbekistan)
• Participation in international AI projects