Jobs

⚡ Lead Generation Specialist

We are looking for a Lead Generation Specialist to join our team and help identify and engage potential clients through various channels, including LinkedIn, Upwork, and other platforms.
This role involves actively searching for leads, communicating with prospects, and preparing analytics to improve our sales processes.

Requirements:

• 6+ months of commercial experience in lead generation or a similar role.
• Proactive and goal-oriented mindset.
• Strong written and verbal communication skills.
• Ability to conduct professional business correspondence.
• Proficiency with office tools (MS Office, Google Docs).
• Experience working with LinkedIn, Clutch, Upwork.
• Experience negotiating or corresponding with international clients (a plus).
• English level B1+.
• Strong interpersonal and communication skills.
• Self-organization and responsibility.

• Results-driven approach.

   

Responsibilities:

• Search for potential clients and maintain a lead database.
• Process leads in the CRM system.
• Manage and grow corporate LinkedIn pages.
• Work with Upwork and other platforms to generate leads.
• Maintain documentation related to the lead generation process.
• Conduct negotiations with leads in English.
• Collect and process feedback from clients.

• Prepare reports and analytics on lead generation performance.

   

💡 Interested in this opportunity?

If this sounds like the right role for you, please send us your CV — we’d love to hear from you!

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

✅ Requirements:

✔️ 3+ years of professional experience as an HTML-coder

✔️ Excellent knowledge of HTML, CSS

✔️ Good understanding of UI/UX design and cross-browser layout

✔️ Strong knowledge in CSS/JS animation

✔️ Experience working with CSS Pre-Processors: Sass/Less

✔️ Understanding of web application performance optimization

✔️ Experience with Figma / Sketch / Photoshop

✔️ At least Intermediate lvl of English

✅ Nice to Have:

✔️ Understanding of front-end build tools (Gulp, Webpack, etc)

✔️ Knowledge of HTML email templates

✔️ Experience working with CSS frameworks

✔️ Experience working with template engines (pug, Handlebars, etc)

✔️ Experience with Canvas API / WebGL / ThreeJS / GSAP

✅Duties and opportunities

✔️ Develop the efficient, fast and adaptive layout of interfaces

✔️ Collaborate with developers and web designers to improve product

✔️ Introduce ideas, solutions and optimise existing applications

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

We are looking for a skilled Middle Manual QA

✅ Requirements:

✔️ 2+ years of related work experience

✔️ Solid knowledge of testing processes, methodologies, and standards

✔️ Experience in web projects testing

✔️ Experience in defining scope of testing, developing testing approach

✔️ Attentive to detail, analytical skills, and a scientific approach to problem-solving

✔️ Basic SQL knowledge

✔️ Strong verbal/written communication & an excellent attention to detail

✔️ Knowledge of JIRA and / or similar bug tracking tools

✔️ Experience in test documentation creation and maintenance experience in defining scope of testing, test plan, writing test cases,

✔️ Intermediate+ level of English (both verbal and written)

✅ Will be a plus 

✔️ Experience in I18n,l10n testing 

✔️ Experience in API testing

✔️ Knowledge of Azure Data Factory

✅ Duties and opportunities

✔️ Manual testing of web applications

✔️ Defects management in the bug-tracking system

✔️ Test documentation management

✔️ Collaboration with project team

Who We Are:

AIR Media-Tech is a global IT company shaping the future of the creator economy. For over 15 years, we have been empowering digital creators worldwide by providing over 30 innovative tools and services to grow, monetize, and protect their content.

Our Mission:

To help creators thrive by offering tailored solutions, strategic insights, and unmatched support. We identify growth opportunities, expand market reach, and ensure creators succeed at every step of their journey.

We are looking for a specialist who will:

• Develop and implement cold email strategies for various audience segments (creators, brands, agencies).
• Create personalized email campaigns based on the pain points and motivations of the target audience.
• Build and segment email databases (including via LinkedIn, YouTube, and CRM data).
• Conduct A/B testing for subject lines, content, CTAs, and sending times.
• Monitor key metrics (OR, CR, CTR, reply rate, conversion rate, spam monitoring, IP/Domain Health) and optimize campaigns accordingly.
• Ensure high deliverability and compliance with GDPR/CAN-SPAM regulations.
• Coordinate with sales, marketing, and CRM teams to align campaign goals.

What are we looking for?

• At least 2 years of experience launching cold email campaigns (B2B or B2C).
• Proficiency with automation tools (e.g., Reply, Lemlist, Instantly, Woodpecker, Apollo).
• Understanding of deliverability principles, SPF/DKIM, and domain warm-up processes.
• Ability to write compelling, concise, and personalized messages.
• Experience working with CRM systems (HubSpot is a plus).
• Strong analytical thinking and the ability to make data-driven decisions.
• English proficiency at B1+ level.

Would be a plus:

• Experience in digital media, influencer marketing, FinTech, or SaaS industries.
• Basic knowledge of HTML/CSS.
• Understanding of the specifics of platforms like YouTube, TikTok, and others.

The Benefits: 

• High-quality health insurance.
• Remote work and flexible schedule with work-life balance.
• Corporate events for you and your family.
• Online and offline team building for your team. 
• Vacation leave of 18 work days.
• Paid sick leave.
• Corporate library, lectures, and webinars on various topics. 
• Opportunity to participate in volunteer and charitable projects.
• Gifts for birthdays and special occasions (weddings, Christmas, etc.)

Do you want to be involved in outstanding projects? Send us your resume.

We will contact you soon if we feel you could be a good fit!
 

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

Engineering Manager, 6 ML & AI 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 others.

  - Experienced in natural language processing and modern LLM-based techniques.

  - Experience with full ML lifecycle, data preprocessing, training, evaluation stage, 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 professionally express your thoughts 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 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.

Interview steps

• Pre-Screening with the recruiter
• Technical interview (up to 90 min)
• System Design interview (up to 45 min)
• Behavioral Round with Product Manager (45 min)
• Final interview with Engineering Manager (30 min).

Teliqon, a reliable communication solutions provider, offers innovative services including SIP Trunking, DID, Cloud PBX, and SMS solutions. Our mission is to enhance customer engagement and operational efficiency using next-gen telecom technologies. 

We are looking for a motivated SMS NOC Engineer to join our team. The ideal candidate will be responsible for monitoring, troubleshooting, and ensuring the stability and performance of SMS traffic across our messaging platforms.

Key Responsibilities:

• carriers interconnection, service provisioning, routing & testing
• traffic observation and prompt reaction to any issues
• system configuration management, trace capturing & troubleshooting
• system alerts monitoring (Zabbix)
• close cooperation with other departments (Support, DevOps, Billing etc)

Requirements:

• SMPP should be your best friend
• must have minimum 1 year of experience in telecom SMS NOC operations
• excellent troubleshooting skills is a must
• experience with UNIX systems

If you feel confident with these things, you are a perfect candidate for us: SMPP, SMSC, Linux, Bash, Wireshark, TCP/IP

Benefits:

• Competitive salary and performance-based incentives
• Flexible work schedule and opportunities for professional development
• Paid vacation, holidays and sick leaves
• Opportunity to work within a young and ambitious team
• Fully remote environment with no time/screen trackers

We're looking for an experienced Product Owner to join our development team!

Requirements:

✔️ Experience:

At least 2 years as a Product Owner or similar role (Business Analyst, System Analyst, Quality Assurance Analyst).

✔️ Skills Requirements:

 To execute tasks, technical understanding is required in the following areas:

- Requirements lifecycle

- Product backlog management

- Product development architecture

- Software development

- Scrum and Agile development methodologies

- User experience principles

- Coding and designing (nice to have)

✔️ Communication Skills (at least B2 English)

Use of verbal, nonverbal and written communication skills to create and convey product goals. Reporting insights which allows them to maximise product value and address issues during the early stages of development.

✔️ Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

✔️ Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

✔️ Organisational skills

Skills of establishing and managing processes, adapting them as necessary, and leading productive, inclusive meetings that foster collaboration and decision-making

✔️ Leadership

You will lead a team (without being a manager), therefore you must be able to demonstrate effective leadership techniques.Bring vision to the team, mentor where needed and negotiate with team members and the wider business.

✔️ Conflict Resolution

You will act as a mediator if/when conflict arises to ensure that the development stays on schedule. You will have the ability to resolve disputes over resource or power dynamics, using active listening skills to consider both sides and then make the decision.

✔️ Professional Certification:

PSPO level 1 or similar, but not a requirement

Key responsibilities:

✔️ Manage Product Backlog Formulating the list of backlog items and prioritising them as per the critical business objectives.

✔️ Define Sprint Objectives The product owner defines the suggested sprint objective which will serve as a base to determine the sprint goal.

✔️Review and approve the work done by the development team: The product owner inspects the product increment made by the development team in each iteration, from design preparation to production release verification.

✔️ Provide effective communication to the stakeholders of the project: The Product Owner is the central communicator between the development team and the stakeholders.

They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies.

✔️ Backlog Refinement: Ability to prioritise, enhance, and finalise the items with the team before the sprint planning.

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The Product Owner will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration.

✔️ Define Acceptance Criteria for their Product: The Product Owner must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure

that the Product performs to the expected standard. A/C’s should always be confirmed with Stakeholders and will be used as a baseline for QA to test against.

✔️ Gather Functional and non Functional Requirements: The Product Owner will ensure that all requirements are gathered and that they meet the Product Managers expectations.

✔️ Maintain Requirements: Requirements may be adjusted during the project lifecycle, this is to be expected in a dynamic environment such as ours.

If a requirement is adjusted then this must be reflected at the appropriate level (Epic, Story).

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the Product Owner will confirm and agree that the requirements are fit for purpose and use.

✔️ Create and Maintain Epics, Stories, Use and Edge Cases. Although the creation of these artefacts may be done by another team the Product Owner holds accountability for the quality of their content

✔️Participate in OKR planning: Working closely with stakeholders and participating in quarterly OKR planning for the product, including estimating their achievement.

About the Project:

We are building a next-generation eLearning platform focused on delivering exceptional educational experiences for both learners and educators. This is a high-impact role, and you’ll be directly involved in evolving a platform used by thousands of users worldwide. The frontend is actively being migrated from Vue 2 to Vue 3, and the backend runs on a modern Node.js-based stack integrated with AWS.

Responsibilities:

• Develop and maintain features on both frontend and backend of the platform;
• Participate in the migration of the frontend from Vue 2 to Vue 3;
• Collaborate with product managers, designers, and other developers to deliver high-quality features;
• Write clean, scalable, and well-documented code;
• Design and consume RESTful APIs;
• Optimize components for maximum performance across a range of devices and browsers;
• Participate in code reviews and contribute to technical decision-making;
• Support and maintain existing functionality, fixing bugs and improving performance;
• Integrate AWS services (e.g., S3, SQS) where needed.
  
  Requirements:
• 4+ years of experience in fullstack development;
• Strong experience with Vue.js 2 and ideally Vue 3 (or willingness to migrate);
• Solid understanding of Vuex, component-based architecture, and UI best practices;
• Experience with Bootstrap or other UI frameworks;
• Proficiency with Node.js and NestJS for building backend services;
• Hands-on experience with Prisma and/or Sequelize;
• Good knowledge of MySQL or other relational databases;
• Experience integrating and using AWS services, such as S3, SQS, etc.
• Familiarity with REST API design principles and scalable application architecture;
• Experience with Git, Docker, and collaborative development workflows;
• Ability to work independently and take ownership of tasks.
  
   Nice to Have:
• Experience with CI/CD pipelines;
• Understanding of microservices architecture;
• English level: Intermediate+.

About the company

At Balancify, we’re redefining finance to be transparent, inclusive, and built for the next generation. Banking shouldn’t feel like a black box — we make it clear, accessible, and trustworthy.

Our real strength is the team: not just roles, but builders creating something meaningful together.

What you will do:

 • Apply cloud security best practices: IAM, encryption, compliance

 • Diagnose and resolve complex infrastructure issues

 • Develop and maintain IaC with Terraform, CloudFormation, and scripts (Python, Bash, Go)

 • Drive end-to-end observability, define SLOs/error budgets, and maintain actionable dashboards

 • Manage secrets & keys (AWS KMS/Secrets Manager), automate rotation, and maintain audited access

 • Keep payment processing highly available & low-latency: capacity planning, autoscaling, load/performance testing

We’re looking for you if you:

 • Have 5+ years in DevSecOps/SRE/Cloud Engineering

 • Strong AWS knowledge (IAM, VPC, KMS, Secrets Manager)

 • Experience with IaC (Terraform/CloudFormation) and automation scripting

 • Proficient in observability tools (Prometheus, Grafana, ELK, OpenTelemetry)

 • Hands-on with CI/CD, Docker/Kubernetes, and security best practices

 • Analytical, proactive, and able to balance speed, security, and reliability

Bonus points for:

 • Experience in FinTech, high-load, or regulated environments

 • Knowledge of PCI DSS, SOC2, or other compliance frameworks

 • Performance/security testing expertise

Why join us?

 • Build and secure the backbone of a next-generation fintech product

 • Be part of a team that values ownership, collaboration, and innovation

 • Directly influence system resilience, security, and performance

 • Flexible, supportive, and growth-oriented environment

🚀 Ready to keep our systems secure, scalable, and blazing fast? Apply now and join Balancify!

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.
FAVBET Tech does not organize and conduct gambling on its platform. Its main focus is software development.

Main areas of work:

• Betting/Gambling Platform Software Development — software development that is easy to use and personalized for each customer.
• Highload Development — development of highly loaded services and systems.
• CRM System Development — development of a number of services to ensure a high level of customer service, effective engagement of new customers and retention of existing ones.
• Big Data — development of complex systems for processing and analysis of big data.
• Cloud Services — we use cloud technologies for scaling and business efficiency.

Responsibilities:

• Work on continuous product improvement.
• Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
• Design, develop, deploy, and maintain advanced machine learning models.
• Enhance and optimize existing machine learning models.
• Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes.
• Clearly present analytical findings and model results to business stakeholders.

Requirements:

• At least 3 years of experience in designing and implementing modern ML solutions.
• Proficiency in data mining and analysis.
• Strong knowledge of Python, including libraries such as scikit-learn, LightGBM, Keras / PyTorch / JAX.
• Proficiency in SQL, including writing optimized queries.
• Experience with version control systems (e.g., GitHub, GitLab, Bitbucket).
• Experience with cloud data platforms (preferably AWS) for ML tasks (S3, Athena, RDS, Redshift, Lambda, SageMaker, ECR).

Would be a plus:

• Deep experience with MLOps tools and practices (e.g., SageMaker, CI/CD, MLflow, DVC).
• Experience with feature stores.
• Hands-on experience in designing, running, and interpreting A/B tests.

We offer:

• 30 day off — we value rest and recreation;
• Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership;
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station);
• Flexible work schedule — we expect a full-time commitment but do not track your working hours;
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.

During the war, the company actively supports the Ministry of Digital Transformation of Ukraine in the initiative to deploy an IT army and has already organized its own cyber warfare unit, which makes a crushing blow to the enemy’s IT infrastructure 24/7, coordinates with other cyber volunteers and plans offensive actions on its IT front line.

⚡️Junior DevOps Engineer

We are looking for a Junior DevOps Engineer to help develop and maintain reliable infrastructure, optimize deployment processes, and support our development team in efficiently delivering high-quality products.

 Your Responsibilities:

• Support and maintain internal infrastructure and services (on-premise and AWS)
• Set up and manage CI/CD pipelines and deployment environments
• Automate operational tasks and system monitoring
• Assist with service deployment, integrations, data migration, and backups
• Collaborate with tech teams to improve internal workflows

• Ensure infrastructure reliability, performance, and security

   

 Requirements:

• 1+ year of hands-on experience as a DevOps Engineer
• Experience working with Linux-based systems
• Solid knowledge of Docker, CI/CD tools, and version control (GitLab, GitHub, Bitbucket)
• Understanding of networks and basic system security
• Experience with PostgreSQL and SQL databases

• English level: Upper-Intermediate (B2+)

   

 Nice to Have:

• Experience with Terraform or similar IaC tools
• Knowledge of Python or Golang
• Familiarity with Kubernetes

• Understanding of DevOps best practices in modern IT environments

   

 What We Offer:

• Fully remote work and flexible hours
• Friendly, supportive team and great work culture
• Participation in impactful internal DTEAM projects

• Opportunities for professional growth and learning

   

 Sounds like you? Let’s connect — we’d love to hear from you!⭐️

We are looking for a proactive and detail-oriented Node.js Developer with 3+ years of commercial experience to join our growing engineering team.

Project:
ERP system for a fitness club network. The main focus is upgrading and improving the payment module: updating the UI, refactoring existing services, and implementing new payment-related features.

Responsibilities:

• Develop and maintain backend services using Node.js (Express).
• Refactor and optimize the existing payment system.
• Integrate and configure Stripe payment services.
• Implement GraphQL API for client applications.
• Collaborate with the frontend team on Svelte-based UI updates.
• Deliver new features for the payment module (subscription management, billing cycles, refunds, financial operations).
• Ensure security, reliability, and scalability of payment processes.

• Write clean, maintainable code with test coverage.

   

Requirements:

• 3+ years of commercial experience with Node.js.
• Strong experience with Express.js.
• Hands-on experience with GraphQL.
• Proven experience integrating Stripe (or other payment systems).
• Understanding of ERP/CRM systems is a plus.
• Basic knowledge of Svelte or willingness to learn quickly.
• Solid understanding of microservices, REST/GraphQL API architecture.
• Experience with databases (SQL/NoSQL).
• Strong knowledge of JavaScript/TypeScript.
• English level — B2