Jobs Data & Analytics

At DICEUS, we’re inviting motivated individuals to join us as Intern Business Analysts and start their journey in software delivery and product development.

This internship is a great opportunity to gain hands-on experience working with enterprise-level solutions in the insurance domain, collaborate with cross-functional teams, and learn Agile practices, requirement analysis, and documentation preparation. You will work closely with experienced BAs and development teams to understand how real digital products are built and delivered.

What You’ll Be Learning

• Fundamentals of business analysis
• How to collect, document, and analyze business and technical requirements
• Preparing documentation: user stories, specifications, requirements, presentations
• Working with tools such as Jira, Confluence, and Trello
• Participation in project meetings: daily stand-ups, planning, demos
• Understanding and applying SDLC in practice
• Communication with clients and internal stakeholders

What We Expect From You

• Basic understanding of software development processes
• Strong analytical and communication skills
• Interest in business analysis, IT consulting, and working with requirements
• Responsibility, attention to detail, willingness to learn and grow
• English level — at least Intermediate for communication and documentation

What We Offer

• Hands-on business analysis experience on real IT projects
• Opportunity to work with enterprise-level products in the insurance industry
• Supportive and professional environment with continuous learning culture
• Potential career growth to Junior Business Analyst after successful internship completion

About us
We're building the unified data layer for private credit fund managers. We ingest, reconcile, and make sense of the financial data that fund CFOs and controllers live inside every day — NAV calculations, LP returns, reconciliation across GP records and fund administrators, SBIC compliance filings — and turn it into a trusted, queryable foundation for every decision the fund makes.
We're a seed-stage company with real customers, real data, and real financial stakes. Design partners and early clients depend on the accuracy of our platform for their fund reporting today. A silent data error costs us a customer permanently. That trust is the moat, and it's what makes this role matter.

About The Role
We're making a deliberate bet that one AI-native engineer running multiple agents in parallel against a well-built harness outperforms three traditional full-stacks. We have evidence this is true. We also know the critical qualifier: only if the harness is real. Without it, you ship a house of cards. This role exists to make the harness real. You are the load-bearing infrastructure hire for our AI-native engineering model. Everything our product engineers ship — every agent-generated diff, every behavioral test that catches a regression, every eval that defines what "passes" — runs on infrastructure you own.

This is not DevOps in the traditional sense. It's a new category: AI engineering infrastructure. Your instincts come from platform and DevEx backgrounds, but your domain is non-deterministic systems, LLM-app observability, and the specific failure modes that emerge when agents write production code.
Here's what you're walking into: our current local dev environment cannot run a full agent iteration cycle. The background job system that LangGraph agents require doesn't exist. The eval suite doesn't exist. You're not inheriting a platform — you're building the foundation that makes the whole model work, and you'll be doing it alongside our lead product engineer from day one.

Crucially, this is a day one partnership with the Lead Product Engineer: you build the system/harness, and they ship the features against it—a tight, mutual dependency. You won't be writing day-to-day product features. Instead, you'll build the systems the engineers shipping product depend on.

Key Responsibilities
I. Foundation (Months 1-2): The work that unblocks the AI-native model.
- Local Dev Environment: Our importers are manual CLI runs disconnected from S3 events. An agent iterating locally today cannot test against a real ingestion run. Your first deliverable is a local dev environment where an agent's diff can be run end-to-end before it touches staging.
- Async Execution Infrastructure: An agent orchestration framework's workflows require async execution. We have no background job system today. You'll select and ship it — a lightweight queue + worker setup on our existing AWS/ECS stack — as part of Month 1-2.
- First Agent Workflow: Get a single workflow for an agent orchestration framework running end-to-end against our FastAPI/PostgreSQL stack. Nothing in our agent roadmap ships without this foundation.
II. The Agent Harness
- Skills & Eval Infrastructure: Build the skills system, prompt library, and eval suite that make agent-generated code production-grade. These are the shared tools every product engineer relies on.
- Automated Review Pipeline: Stand up multiple layers of automated review — Cursor bot, Claude reviewer, independent Claude agents — so that agent-generated diffs face real scrutiny before human eyes touch them.
- Behavioral Test Infrastructure: Build the test framework that gates product deploys. End-to-end behavioral tests catch what unit tests don't. You build the system; product engineers write the tests.
III. CI/CD & Observability
- Agent-Aware CI/CD: Extend our GitHub Actions pipeline with regression catches, schema contract tests against the data layer, and lint rules tuned to our common agent failure modes. The pipeline should catch what matters without making deploys slow.
- Agent Observability: Instrument every agent run — what prompt produced what diff, what tests caught what, where humans had to intervene. This instrumentation is also our SOC 2 audit trail for AI-generated changes. Build it with compliance in mind from day one.
- Prod-Like Dev Environments: Ensure local dev mirrors production closely enough that an agent's output can be trusted before review. This is load-bearing, not nice-to-have.

What Success Looks Like
Within your first 6-12 months, success will look like:
- The harness is real: A product engineer can run 4-10 agents in parallel against a local environment, get behavioral test results back, and know what they're shipping before it hits staging.
- Agent runs are observable: We can answer "what prompt produced this diff?" and "what tests caught the last regression?" from logs, not from memory.
- SOC 2 audit trail is complete: Every AI-generated change in production has a logged record of the prompt, review layers, and tests that gated it. The auditor has what they need.
- CI/CD catches agent failure modes: The pipeline has caught at least one class of agent-generated bugs that would have reached production without it.
- Product engineering throughput is compounding, not collapsing: The product team is shipping fast because the infrastructure is real — not fast in ways that will become rework.

The Ideal Candidate
You might be a strong fit if you:
- Have 5+ years of platform, DevEx, or infrastructure engineering — you've built developer tooling that other engineers actually relied on in production, not experiments that sat unused
- Are hands-on with AWS — we run ECS/Fargate, S3, RDS on PostgreSQL 18, SES; IaC fluency (Terraform or Pulumi) is expected
- Has built eval harnesses or test infrastructure specifically for AI-generated or non-deterministic outputs
- Have strong opinions about behavioral testing and evals for non-deterministic systems — you understand why golden-set test design for LLM outputs is different from traditional test engineering
- Have experience with LLM-app observability or agent system instrumentation — you know what to log to understand why an agent produced what it produced
- Are comfortable in Python and TypeScript — enough to read and reason about what the product engineers are shipping, even if you're not writing features yourself
- Approach infrastructure with a "what breaks under load?" mindset — you build for the failure mode, not the happy path

Nice to have (but not required):
- Experience with an agent orchestration framework, observability stack, or equivalent tools.
- Fintech or compliance context — understanding why the audit trail is load-bearing, not optional
- Multi-tenant environment isolation on AWS

Must-have skills

- Platform / DevEx / Infrastructure Engineering — 5+ years

Experience building internal developer platforms, local development environments, CI/CD pipelines, and developer tooling for other engineers.

- AI Agent / LLM Infrastructure — 2+ years

Experience with agent orchestration, evaluation harnesses, behavioral testing, LLM observability, and infrastructure for non-deterministic AI systems.

- AWS + Infrastructure as Code — 3+ years

Hands-on experience with AWS services (ECS/Fargate, S3, RDS), queues/workers, GitHub Actions, and Infrastructure as Code using Terraform or Pulumi.

English B2+
wokring hours till 24 Kiev time !!!!

🚀 Who we are:

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

📍 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. 
The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily, relies on cloud infrastructure and microservices, and integrates with upstream research prototypes from data science teams.

About the Role:

As a MLOps Platform Engineer, you will play a key role in helping the company scale its AI capabilities by building and owning the infrastructure and processes that support machine learning models throughout their entire lifecycle.
 

You will work closely with Data Scientists, Data Analysts, and Platform Engineers to build and improve systems for dataset and label management, model registries, experiment tracking, and model deployment.
 

Your work will help the team deliver models to production faster and more reliably, while making a direct impact on a mission-critical AI platform.

Key Responsibilities:

• Design and implement systems for dataset and label management, including versioning and customer feedback integration.
• Establish and maintain a model repository/registry with version control, lineage tracking, and local inference support.
• Lead implementation of experiment tracking and monitoring solutions for data science and generative AI, focusing on evaluation, drift detection, and reproducibility.
• Lead the deployment, lifecycle management, and continuous improvement of ML/DL models in production.
• Own model serving and inference infrastructure, including autoscaling, A/B testing, canary deployments, and latency/cost optimization.
• Enable generative AI capabilities by developing tagging tools, prompt management services, and LLM testing frameworks.
• Drive operational excellence by improving tool deployment usability and establishing granular cost visibility across environments and projects.
• Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated model retraining workflows.
• Collaborate with data scientists and platform engineers to productionize ML/DL models in public cloud environments.

📍 Required Competence and Skills:

• At least 5 years of hands-on experience in MLOps / ML Platform Engineering (or equivalent ML Engineering experience with strong MLOps ownership). Able to independently design, build, and scale production ML infrastructure.
• Experience collaborating closely with Data Scientists or ML Research teams to productionize machine learning models.
• Strong Python programming skills.
• Hands-on experience in containerization, CI/CD, and public cloud platforms (AWS, Azure, or GCP) for deploying, serving, and monitoring ML models.
• Proficiency with dataset management, model versioning, experiment tracking, monitoring, and MLOps platforms (e.g. MLflow, SageMaker, or similar tools).
• Experience with machine learning frameworks (PyTorch or TensorFlow), big-data technologies (Apache Spark), and data stores such as PostgreSQL, MongoDB, and Redis.
• Experience using AI-assisted development tools and adopting Generative AI and agentic workflows in day-to-day software development.

Nice to Have:

• Java programming experience in production environments.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, success is defined by precision. 

In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Join us in building advanced forecasting and optimization capabilities for an energy trading company participating in electricity markets across multiple regions. We are looking for a Data Scientist to own the development of predictive models that directly support our trading team's market decisions. 

This is the first dedicated data science hire on the project. You will establish modeling standards, define best practices, and deliver the work yourself — across the full data science lifecycle: from time series forecasting and price prediction to battery optimization and model governance. The role requires strong technical depth and the ability to engage directly with business stakeholders in a domain where the problems are genuinely hard.

Key Responsibilities

• Design, build, and validate time-series forecasting models for facility load, market demand, and electricity price signals
• Select and tune appropriate modeling approaches (statistical, ML, and deep learning) based on the forecasting horizon, data availability, and accuracy requirements
• Develop and maintain ML pipelines on the Databricks platform using PySpark, MLflow, and Delta Lake
• Partner with domain experts to incorporate market structures, tariff rules, and grid dynamics into model features and evaluation frameworks
• Communicate model performance, assumptions, and limitations to both technical and non-technical stakeholders

Requirements

1. Time-Series Forecasting Expertise
 

You have hands-on experience with a broad range of forecasting methods and know when to reach for each one. This includes classical statistical approaches, gradient boosting methods, and modern deep learning architectures. You understand the practical challenges of time-series work: feature engineering with lags and rolling windows, handling seasonality and regime changes, proper train/validation/test splitting, and avoiding data leakage.

2. Databricks Platform Proficiency
 

You are comfortable working end-to-end in Databricks — from exploratory analysis in notebooks to productionizing models via MLflow tracking, model registry, and scheduled jobs or workflows. Experience with Delta Lake for versioned, audit-friendly data pipelines is a strong asset. Familiarity with Unity Catalog and Databricks Feature Store is a plus.

Nice to Have

• You have worked in or alongside the electricity sector and understand the data and dynamics that drive it
• Experience with graph-based machine learning or graph neural networks (GNNs)
• Experience with probabilistic forecasting (prediction intervals, quantile regression, conformal prediction)
• Exposure to real-time or near-real-time inference pipelines
• Familiarity with weather data integration for load and renewable forecasting
• Familiarity with battery storage optimization or operations research methods for energy asset dispatch

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

Role overview: 

The Analyst-Generalist will support CUCollaborate’s Research Team by conducting research, analysis, operational work, data validation, and project support across all product lines. This role will work with cross-functional teams to translate data and research into useful insights that improve client solutions, support product development, and strengthen service delivery. The position includes both project-based work and routine, process-driven tasks that require accuracy, consistency, and focus. 

Important Note: Candidates must demonstrate prior knowledge of CUCollaborate’s platform, tools, and services, and are expected to research and familiarize themselves with the organization before applying. 

Responsibilities: 

• Analyze structured and unstructured data using internal tools, client files, maps, and AI tools (Claude, ChatGPT). 
• Where technical skills allow: Work with databases, APIs, and data platforms. 
• Prepare clear, data-driven reports for clients and internal stakeholders. 
• Identify patterns, draw conclusions, and support decision-making. 
• Collaborate with Product and cross-functional teams; communicate blockers and deliver insights. 
• Prioritize tasks, meet deadlines, and understand the business context behind each request. 
• Maintain data accuracy in HubSpot; support QA and ongoing data maintenance. 
• Suggest process improvements and keep tasks updated in Azure DevOps. 
• Build deep knowledge of CUCollaborate's products, clients, and Product Teams. 
• Follow Product Team updates and participate in company meetings. 
• Ensure all work aligns with internal and external regulations. 

Requirements: 

• 1+ year in data entry, analysis, or quality; strong entry-level candidates considered. FinTech experience is a plus. 
• Ability to clean, validate, organize, analyze, and summarize data. 
• Proficiency in Excel and common data tools. 
• Intermediate to advanced English (written and spoken). 
• Analytical mindset - able to evaluate data quality, challenge assumptions, and propose solutions. 
• Clear communication to both technical and non-technical audiences. 
• Independent, accountable, and organized approach to work. 
• Curious and open to learning new tools, including AI. 
• Adaptable to changing priorities; proactive about improving efficiency. 
• Nice to have: SQL, Python, Power BI, Azure Synapse Analytics, R, APIs, and data platforms. 

We offer: 

• Competitive salary 
• Remote / hybrid work 
• Medical insurance and mental health coverage 
• Paid vacation, sick leave, and public holidays 
• English lessons at company's expense 
• Training & development budget 
• Teambuildings and a motivated team 

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

The ideal candidate has previous startup experience and is passionate about building products from the ground up. We’re looking for someone who genuinely enjoys coding, solving complex technical challenges, taking ownership, and moving fast in a high-impact environment.

About the Role

We are specifically looking for a Founding Engineer who is skilled enough to drive architecture and infrastructure decisions while remaining deeply hands-on in development.

The key requirements are a startup mindset, ownership, autonomy, and strong technical execution.

You’ll work directly with the founder on both technical and product decisions while helping to shape the company’s engineering culture and technical direction.

What You’ll Do

• Architect, prototype, and build product features from scratch.
• Develop integrations with AI platforms (OpenAI, Perplexity, etc.).
• Build integrations with 3rd-party systems and CRMs.
• Design scalable backend services and APIs.
• Work on AI agents, RAG systems, and prompt engineering.
• Design and optimize SQL databases.
• Build cloud-native infrastructure on AWS/GCP/Azure.
• Implement asynchronous task-processing patterns (RabbitMQ, SQS).
• Collaborate directly with the founder on product and business decisions.
• Help define technical standards and engineering best practices.
• Contribute to a fast-moving startup environment with high ownership.

RequirementsMust-Have

• Senior-level software engineering experience
• 1+ year of startup experience (ideally direct hire at a start up)
• 5+ years of commercial development experience
• Strong hands-on experience with:
  • TypeScript
  • Node.js
  • REST APIs
  • JSON
  • Git
• Experience building AI agents, RAG systems, or LLM-powered products
• Strong prompt engineering skills
• Experience with API integrations
• Strong SQL and database design skills
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Understanding of asynchronous systems and queues (RabbitMQ, SQS, or similar)
• Strong communication skills and product mindset
• High level of ownership and autonomy

Nice-to-Have

• Previous CTO or technical leadership experience
• Experience with n8n or Make
• Experience building SaaS products
• Experience scaling early-stage startups
• Infrastructure and architecture leadership experience

What We Offer

• Full-time engagement
• Fully remote work
• Long-term cooperation
• Founding member equity
• Opportunity to directly influence company and product strategy
• Fast personal and professional growth
• Freedom, ownership, and real responsibility
• Opportunity to grow into a future CTO role
• Modern AI-first development environment (including Cursor Agent mode)
• U.S. company contract
• Paid vacation days

Recruitment Process

1. Pre-screen with a recruitment manager
2. Pre-screen call witht the startup founder
3. Technical deep-dive interview with a small live coding session
4. Call to meet the team

Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B business. By leveraging its proprietary technology, Playtech delivers innovative products and services to ensure a safe, engaging and entertaining gaming experience. 

As the gaming industry's leading technology company, it combines business intelligence-driven software, services, content, and platform technology to drive excellence and innovation across the sector. Read more about who we are and what we do here: www.playtechpeople.com and www.playtech.com
 
Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Embracing differences and maintaining transparency in our processes is the core of Playtech's overall commitment to responsible business practices. 

Ready to level up your career? 

Playtech’s Game team is on the lookout for a diligent, proactive, and detail‑oriented Business Analyst with strong analytical and system thinking skills

Job Description

Your influential mission. You will…

• Translate high-level business solutions into technical specifications
• Analyze requirements, facilitate requirements related meetings
• Create documentation for existing solutions and features
• Support other activities of the development team across the full software development cycle
• Backlog management
• Work with technical documentation
• Perform solution validation

Qualifications

Components for success. You…

• Should have 3+ years of experience in system or business analysis
• Possess profound expertise in business and system analysis of complex software systems
• Demonstrate strong analytical and system thinking skills
• Have good communication skills
• Aim for an Upper-Intermediate level in English (both written and spoken)
• Worked with multiple corporate stakeholders via remote communication channels
• Show strong facilitation skills
• Understand web protocols, messaging protocols and web data formats: HTTP, WS, JSON, XML etc.
• Gain practical experience with Browser DevTools
• Worked with wireframes and diagrams (sequence and activity)

You'll get extra points for…

• Experience working with multiple teams in parallel
• Background in gaming, casino, or gambling industries

Thrive in a culture that values…

• Collaboration across diverse, international teams
• Innovation and continuous improvement
• Transparency and accountability
• Passion for delivering high-quality products to global clients

Additional Information

CASINO UNIT

Casino products are the flagship of Playtech’s products, offering an industry-leading selection of online games together with a state-of-the-art platform for seamless integration with our business customers’ websites. We ensure to deliver a thrilling web experience content library that includes a slot, table/card, fixed odds games, and more. Some of the movie and entertainment brands we have collaborated with, include DC, MGM, and NBC Universal. Casino Unit is represented in the following locations: Estonia, Bulgaria, and Ukraine and includes around 300 great employees in total, who build the most extensive games portfolio across the industry.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work. 

WWelcome to Drawer.AI!
We invite you to join our mission to shake up the AEC (Architecture, Engineering, and Construction) industry by transforming estimation processes. Harnessing the power of AI, we are revolutionising construction with Generative Design and Reinforcement Learning.

About us:
Our US-based startup raised investments from leading industry ventures and is ready for the next Series A Round in 2025. And this is just the beginning.

What it’s like to work with Drawer.AI:
Everyone’s voice counts here. Our tech team is open, flexible, and all about getting the job done to make solutions work. We’re not just writing code. We are changing how construction happens with advanced AI.
Explore opportunities to join our team and be at the forefront of innovation.
It’s time to build better!

Role Overview:

At Drawer.AI, we're not just another IT company – we're on a mission to revolutionize the way the world sees Construction Industry with Generative Design and Reinforcement Learning.

We are looking for a detail-oriented and proactive Business Analyst who is passionate about understanding business needs and translating them into clear, structured documentation. This role is perfect for someone with at least 1 year of experience in requirement gathering and business analysis, even outside the software industry.

You’ll play a key role in bridging the gap between business stakeholders and developers — collecting requirements, maintaining product documentation, and supporting the development team throughout the project lifecycle. If you’re analytical, quick to learn, and eager to grow as a Business Analyst — we’d love to meet you!

Key Responsibilities:

• Transform business ideas into simple User Stories and Use Cases;
• Collecting, analysing, determining requirements;
• Maintain Knowledge database and be an entry point for all the questions raised by developers related to business logic;
• Build effective communication channels with developers and stakeholders;
• Lead technical refinement (grooming) sessions with a team.

Requirements:

• English upper-intermediate or higher (B2/C1);
• Effective "human being" writing skills (not chat GPT/robotic style);
• 1+ year of experience working with business analysis/collecting; requirements in any business domain (not limited to software development);
• Experience in writing technical documentation, User Stories, Use Cases;
• Understanding of SDLC;
• Analytical mindset;
• Ability to learn fast;
• Desire to develop yourself as a Business Analyst.
   

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Role

As a Junior Operations Analyst, you’ll dive into Solidgate’s internal processes and help optimize them to ensure our clients get the best payment solution on the market.
This role gives you hands-on experience at the intersection of operations, analytics, and product — working side by side with our technical and business teams to make payments seamless for businesses worldwide.

What you’ll own

• Conducting technical onboarding of new clients into the Solidgate system
• Supporting processes related to Solidgate’s payment services
• Building new workflows and optimizing existing ones
• Handling analytical requests from clients
• Setting up payment routing
• Collaborating closely with product and technical teams inside the company
• Communicating with partner banks’ technical support teams
• Detecting and resolving anomalies in the payment process

You’re a great fit if you have

• Bachelor’s in Applied Mathematics / Systems Analysis / Software Engineering / related field (completed or in progress)
• Excellent written and verbal communication skills
• English proficiency at Upper-Intermediate level or higher
• Knowledge of SQL and Python

Practical experience with Postman and knowledge of Tableau will set you apart.

Why Solidgate?

• No internships here — we build careers. Get hands-on from day one and make a real impact.
• Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
• Flex your schedule. Balance studies and work with flexible hours that fit your life.
• Your work = real outcomes. Shape how global companies move money.

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve. To achieve that, we’re on a bold path: to become the #1 payments orchestration platform in the world.

We believe the future of payments is shaped by people who think big, take ownership, and bring curiosity and drive to everything they do. That’s exactly the kind of teammates we want on board.

About the Team and Role

As a Junior Operational Analytics Specialist, you’ll work on Chargebackhit — technology that protects online businesses from fraud and chargebacks. The product is mature but runs with the energy of a startup: things evolve fast and decisions are made quickly.

This role puts you at the heart of product operations — connecting services, monitoring performance, and working with data that protects merchants in real time. It’s an ideal opportunity to kick-start your analytics career in fintech.
 

What you’ll own

— connecting, testing, and monitoring the operation of chargeback prevention services
— working with the database
— active interaction with other teams: Analytics, Sales, and Account Management
— processing analytical requests from our clients
 

You’re a great fit if you have

— Bachelor’s or Master’s degree (completed or in progress) in analytics, programming, mathematics, or a related field
— Strong command of SQL and Excel
— Analytical thinking and problem-solving mindset
— Clear, structured communication skills
— English level Upper-Intermediate (B2) or higher
 

Why Solidgate?

— No internships here — we build careers. Get hands-on from day one and make a real impact.
— Your work = real outcomes. Shape how global companies move money.
— Grow like crazy. Learn from top fintech pros and level up faster than anywhere else.
— Flex your schedule. Balance studies and work with flexible hours that fit your life.
— Enjoy the ride. A wow office in Kyiv center, daily lunches, snacks, team buildings, and a learning budget to keep you growing.
 

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

We are looking for an Integration Engineer to design, build, and maintain reliable integrations between our advertising platform and external marketing services.
 

What you will do

— Develop and maintain integrations with Meta Marketing API and LinkedIn Marketing API: rate limits, async reports, breakdowns, attribution windows.

— Build and support data synchronization pipelines from Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.

— Ensure reliability of data sync: error handling, retry strategies, monitoring and alerting.

— Work with API rate limits, OAuth flows, and webhooks across advertising platforms.

— Participate in new integration projects from API evaluation through production rollout.

— Write production-grade Python code: error handling, logging, tests, documentation.

— Actively use AI-assisted development tools (Copilot, Cursor, Claude Code) for code generation, debugging, and pipeline design.
 

Requirements

— 5+ years in backend or data engineering with focus on API integrations.

— Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.

— Strong Python skills: production-grade code with error handling, logging, and tests.

— Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.

— Experience with GCP or comparable cloud (AWS/Azure) at service level: Cloud Run, BigQuery, or equivalents.
 

Nice to Have

— Knowledge of Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.

— Experience with BigQuery and/or ClickHouse.

— Pulumi / Terraform for IaC.

— Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

— Experience with n8n or similar workflow orchestration tools.
 

What We Offer

— Fully remote with flexible hours (aligned with EU timezones for syncs).

— AI-first tooling — Claude Code licenses and cutting-edge AI development workflows.

— A team with no bureaucracy, decisions are made fast.

Не просто код, а твій вплив на мільйони українців

Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни.

Про масштаб наших сервісів:

• 50+ млн запитів щодня проходять через наші системи
• 10+ млн активних користувачів покладаються на наші рішення

Ми будуємо не просто продукт — ми створюємо технологічну інфраструктуру, яка об’єднує людей, бізнеси та можливості вже майже по цілому світу.

Ми шукаємо Business Analyst в команду "Інформування". Інформування - це система сповіщень для користувачів, де ми створюємо ефективні push, Viber, SMS та email-розсилки, що допомагають клієнтам отримувати актуальну інформацію про посилки в процесі доставки як в Україні, так і за її межами.

Твій ідеальний профіль:

• Системне мислення: здатність тримати в голові велику кількість взаємозв’язаних процесів і шукати зв’язки між бізнес-проблемою та технічним рішенням.
• Проактивність та ініціативність: ми шукаємо не просто виконавця, а аналітика, який думає, ставить під сумнів, пропонує покращення та аргументує свої ідеї.
• Комунікаційні навички: чітке та логічне донесення думки — як письмово, так і усно; вміння пояснити складне простими словами як для розробників, так і для non-tech учасників.
• Досвід роботи у крос-функціональних командах (аналітики, продакт-менеджери, девелопери, QA, маркетинг).
• Готовність працювати в умовах швидкого масштабування, невизначеності та зміни пріоритетів.

• Від 3-х років в ролі BA/SA (переважно з продуктом або платформою, що працює з логістикою, e-commerce, або великими обсягами користувацьких даних).
• Досвід роботи в системному аналізі.
• Активність та комунікабельність, бажання працювати в команді.
• Досвід роботи з робота з Jira, Confluence, Draw.io, Google Workplace.
• Досвід збору та аналізу вимог.
• Знання технік моделювання бізнес-процесів (BPMN), діаграм класів (UML), sequence-діаграм, user-story, use-case.
• Навички написання ТЗ, специфікацій та інструкцій для користувачів.
• Розуміння принципів інтеграції (REST API, JSON/XML, webhooks) та досвід роботи з технічними командами щодо зовнішніх/внутрішніх інтеграцій.
• Постійна робота з REST API.
• Аналіз даних: SQL, MySQL, PostgreSQL, Excel.
• Знання технологій і досвід проєктів інтеграції інформаційних систем;
• Досвід побудови складних логістичних або системних процесів — наприклад, відстеження життєвого циклу посилки, управління статусами, SLA, поверненнями тощо.

Що робитимеш як Business Analyst:

• Збір вимог до програмного забезпечення та їх аналіз.
• Написання технічних завдань та мануалів.
• Керування технічними вимогами.
• Прийом реалізованих задач.
• Співпрацювати з командами розробки, дизайну, QA.
• Працювати з логістичними API та інтеграціями з поштовими операторами.
• Валідувати та оптимізувати нові фічі на основі даних, користувацького фідбеку та логів.
• Підтримувати документацію продукту.

Nice-to-have:

• Досвід роботи в сфері логістики або системі інформування буде перевагою.
• Знання технічних аспектів розробки програмного забезпечення.

• Високонавантажені системи з реальними викликами масштабування
• Сучасний стек та свобода технологічних рішень
• Можливість впливати на архітектуру продуктів, якими користуються мільйони

• Менторство від сеньйорів з досвідом enterprise-рішень
• Разом будуємо інновації, що працюють для мільйонів

• Продукт, що змінює країну — не просто ще один стартап
• Тут команди стають драйверами технологічних змін

• Компенсація додаткових витрат, пов'язаних з робочими завданнями, здійснюються до внутрішніх політик компаній.
• Добровільне медичне страхування та страхування життя.
• Корпоративні знижки від партнерів NOVA.
• Підтримка ментального здоров'я. Можливість безоплатних консультацій з корпоративним психологом.
• Соціальна відповідальність та волонтерський рух “Свої для своїх”.
• Клуби за інтересами: біговий, шаховий та інші ініціативи для натхнення.
• Соціальні відпустки та компенсації відповідно до КЗпП України.

Ми — Strimco, українська GovTech-компанія та стратегічний партнер цифрової трансформації держави. Ми створюємо складні цифрові продукти й сервіси, які змінюють взаємодію держави, громадян і бізнесу.
Шукаємо Head of Business Analysis, який очолить розвиток функції бізнес-аналізу, допоможе будувати сильну експертизу в команді та забезпечувати високу якість аналітики на наших GovTech-проєктах. Якщо тобі цікаво розвивати людей, вдосконалювати процеси та впливати на створення продуктів, якими користуються мільйони українців, — будемо раді знайомству.

Основні обов'язки

• Розвиток та управління Business Analysis Practice.
• Побудова й удосконалення процесів, стандартів, шаблонів і методології Business Analysis.
• Управління та координація BA Team Leads.
• Розвиток матриці компетенцій, кар'єрних шляхів та системи оцінки Business Analysts.
• Організація навчання, менторства та професійного розвитку BA.
• Контроль якості бізнес-аналізу на проєктах.
• Участь у запуску складних проєктів, аудитах та пресейлах.
• Впровадження сучасних інструментів і AI-підходів у роботу BA-команди.

Наші очікування

• 7+ років досвіду в Business Analysis.
• 3+ роки досвіду управління BA-командою або BA Practice.
• Досвід побудови або розвитку BA-процесів та стандартів.
• Глибоке розуміння Discovery, управління вимогами, AS-IS/TO-BE, BPMN, UML.
• Досвід розвитку команди, проведення Performance Review та менторства.
• Відмінні комунікаційні, фасилітаційні та лідерські навички.
• Досвід роботи у великих IT-проєктах; досвід у GovTech буде перевагою.

Буде плюсом

• Сертифікації CBAP, PMI-PBA або AAC.
• Досвід цифрової трансформації державного сектору.
• Практичний досвід використання AI для Business Analysis.

Що ми пропонуємо:

• Вплив на суспільно важливі продукти — ми покращуємо країну в реальному часі.
• Гібридний формат (офіс у Kooperativ або віддалено).
• Гнучкий графік, робота на результат.
• Медичне страхування.
• Можливість бронювання військовозобов’язаних.
• Стабільна команда, яка вже реалізувала десятки державних сервісів.
• Професійне зростання: бюджет на індивідуальне навчання, внутрішні тренінги та обмін досвідом у команді.