Jobs

Launch Labs is an IT company focused on web and application development. We help clients turn product ideas into working solutions and support them throughout the development process. Our team has worked with well-known brands such as Nike and Rapid Replay(acquired by NBC).

We’re looking for a Mid/Sr. Product Designer for the leading player development product in baseball - trusted by athletes from high school through MLB, with a following of over one million and a decade of coaching expertise behind it. The mission is to give baseball players the information and resources to reach their athletic potential.

What you'll do

• Own UI/UX across the product - from early concepts to polished, production-ready screens
  • leverage AI prototyping tools (Lovable, Figma Make, Claude, v0, and similar) to move fast and validate ideas early
• Contribute to product design that converts and communicates clearly
• Translate business goals and user needs into product experiences that feel intuitive and on-brand
• Build and maintain a strong design system that keeps the work organized, consistent, and scalable
• Collaborate closely with product managers, engineers, and stakeholders to align design vision with product goals
• Conduct design reviews during delivery and post-release to identify what's working and what isn't

What we're looking for

• Must-haves
  • A portfolio demonstrating best-in-class UI/UX work - strong visual craft backed by clear product thinking
  • Proven experience building and maintaining design systems in a real product environment
  • Experience working with established brands where consistency and quality standards are non-negotiable
  • Hands-on use of AI prototyping tools in a real product workflow - we want to see how you actually use them
  • Ownership mentality - you notice gaps, you bring ideas, you follow through
• Nice to have
  • Experience in sports, fitness, or performance-focused products
  • Comfort designing for both app and web
  • Experience in a fast-scaling startup or content-driven product

How you work

You don't wait to be told what to design next. You understand the user, the business, and the brand - and you bring ideas that make the product better. You're opinionated, collaborative, and care more about shipping great work than protecting your drafts.

Position overview
As a Senior .NET Engineer on the Fintech Core project, you will drive the development of key product modules within a modular white-label fintech platform designed for rapid deployment of digital banking and payment solutions. You will take ownership of technical implementation, architectural decisions, integration approaches, and engineering quality within one of the platform’s major client deployments.
 

The role requires deep expertise in backend engineering, distributed systems, and fintech integrations, with strong focus on scalability, reliability, security, and maintainability. You will work closely with Architects, Product Owners, DevOps Engineers, and cross-functional development teams to design and implement high-performance microservice-based solutions that support complex financial operations.
 

This position is ideal for a proactive and technically strong engineer with hands-on experience in fintech or banking systems, who is capable of leading module-level development initiatives, mentoring engineers, and driving engineering excellence across the project.

Your Background

-5+ years of experience with .NET backend development
-Experience with fintech, banking, or payment systems
-Strong understanding of microservices architecture
-Experience with ASP.NET Core, REST APIs, and gRPC
-Hands-on experience with Docker and Kubernetes
-Experience with PostgreSQL, Redis, MongoDB, RabbitMQ, Kafka
-Strong knowledge of software architecture and clean coding principles
-Experience with AWS is a plus
-English level (Upper-Intermediate.)

Responsibilities

-Develop and maintain scalable backend services using .NET and ASP.NET Core
-Design and support microservice-based solutions
-Develop REST APIs and gRPC integrations
-Collaborate with DevOps and cross-functional teams
-Ensure system reliability, scalability, and code quality
-Participate in architecture and technical decision-making

Technologies

.NET 10, ASP.NET Core, gRPC, Entity Framework Core, PostgreSQL, RabbitMQ, Docker, Kubernetes, OpenTelemetry, Prometheus, Serilog, AWS, GitHub Actions

WE OFFER 
-20 billable days off in the first year of cooperation, all next years — 25 billable days off 
-Fair and competitive compensation 
-Friendly team and enjoyable working environment 
-Clearly described business processes in the company that really work -Regular updates on company news and Q&A sessions with top management 
-Flexible work schedule 
-Remote work mode 
-Ability to transfer unused vacation days to the next year

We are looking for a forward-thinking, driven, and hands-on Global Chief Information Security Officer (CISO) to design, implement, and scale our global information security strategy. As we expand, you will be responsible for building security processes from scratch, ensuring unimpeachable information security compliance across the regulated markets, and leading a distributed remote team.

This is a leadership role that is focused entirely on the global information security posture of the company.

Key Responsibilities:

InfoSecurity Strategy & Governance:

• Define, drive, and execute the global information security roadmap aligned with business goals.
• Assess and define CEX.IO’s current and future requirements in terms of information security.
• Identify capability gaps in the context of regulatory considerations and industry benchmarks
   

Process Management:

• Build, implement, and optimize robust security processes, frameworks, and policies across the entire organization from the ground up.
• Ensure all target teams are provided with the training and resources needed to perform their jobs to the highest degree possible

Compliance, Certifications & Audits:

• Oversee the successful acquisition and maintenance of industry-specific licenses and certifications (e.g., SOC 2, PCI-DSS, DORA, MiCA/crypto regulations). Manage regular internal/external security audits and executive reporting. 
  To achieve this, you will closely collaborate with:
• External auditors and regulators, acting as the primary technical point of contact and subject matter expert during corporate certification processes and regulatory reviews.
• Legal and data protection team to ensure information security policies strictly map to European GDPR compliance, data privacy laws, and corporate governance standards.
• Managing Directors and Officers within the UK, US, and ES locations to bridge global information security frameworks with local regulatory mandates and licensing requirements.
• Engineering and Product teams to embed security directly into the software development lifecycle and product roadmap. You will collaborate on secure coding practices, vulnerability management, and ensuring that product architectures (especially crypto/wallet features) are secure by design before release.

Team Leadership: 

• Lead, mentor, and scale a high-performing, fully remote security team.
• Foster a culture of accountability and proactiveness.
• Lead all managerial functions in accordance with the company’s policies and procedures (hiring, training, setting goals, appraising performance, budgeting)

Risk & Incident Management:

• Act as the ultimate point of escalation for global security incidents, ensuring proactive threat hunting and rapid mitigation.
• Manage the oversight of technical risk assessments, such as vulnerability scanning, penetration testing, risk reviews for new applications, and third-party risk assessments

Requirements (Must-Haves)

• Experience: Proven track record in a senior security leadership role (CISO, Director of Security, or Head of Information Security) within the Financial Services or FinTech sector.
• Direct experience steering organizations through complex information security audits, certifications, licensing, and international regulatory compliance.
• Demonstrated experience in creating, implementing, and managing group-level security processes and frameworks.
• Exceptional leadership skills with a proven ability to manage remote, distributed teams. Strong sense of ownership, proactiveness, and high responsibility.
• Language: Fluent English with excellent communication and reporting skills; Ukrainian or Russian will be an advantage.
• Location: Must be physically located and legally authorized to work remotely within Europe.
   

Preferred (Nice-to-Haves)

• Hands-on experience in the Cryptocurrency, Web3, or Blockchain industry,understanding specific security vectors (custody, cold/hot wallet security).

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Requirements:

• Strong practical background in accounting + solid IFRS knowledge;
• 2+ years in international companies or cross-border (foreign jurisdiction) environments;
• Good understanding of tax systems, compliance, and reporting;
• Deep knowledge of Ukrainian Accounting Standards (UAS) and Tax Code of Ukraine;
• Experience improving accounting workflows, shortening closing cycles, and driving automation;
• Experience building management reporting from scratch or improving existing systems;
• Confident Excel / Google Sheets user;
• English at least B1 (written + spoken).

Nice to have:

• Exposure to EU / US / LATAM tax systems (VAT, Sales Tax, Income Tax);

• Experience handling and validating primary documents for non-resident entities.

   

Responsibilities:

• Organize and maintain financial data across multiple jurisdictions;
• Run payroll calculations and processing;
• Prepare and submit USC and PIT reporting;
• Ensure accuracy of accounting entries and financial records;
• Support external accountants and tax reporting processes;
• Participate in annual audits and prepare required audit documentation;
• Assist in monthly, quarterly, and annual financial reporting.

Requirements:

• Strong production experience with Vue.js
• Solid Python experience for backend development
• Proficiency with JavaScript / TypeScript for frontend development
• Hands-on experience with Three.js and Canvas-based rendering
• Demonstrable frontend performance optimization experience (page load time, rendering efficiency, working with large or real-time data sets)
• Ability to work highly autonomously, proactively clarify requirements and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling.

Nice-to-Have:

• React experience — a planned Vue → React migration is in scope for the team, so familiarity with both frameworks is a strong plus
• Hands-on experience migrating a frontend from Vue to React
• Experience rendering large, real-time data streams in the browser
• Familiarity with deck.gl and Leaflet
• WebGL experience beyond Three.js abstractions
• Familiarity with C++ or general backend development.

Key Responsibilities:

• Build and maintain features across a portfolio of Vue-based projects
• Develop and support Python backend services
• Optimize frontend performance — faster page loads and more efficient rendering of heavy real-time 3D scenes and data
• Build and maintain visualization UI components that render synchronized 3D, lidar, and media data
• Contribute to the planned Vue → React migration as it ramps up
• Take ownership of features end-to-end, proactively clarifying requirements and assumptions
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions.

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — essentially a "video and data player" that renders a 3D scene, a lidar feed, and an audio feed in sync, used to inspect and debug the data recorded by autonomous vehicles.

The work centers on a set of Vue-based projects, including the platform itself and supporting Python backend services, with a Vue → React migration on the roadmap as the broader engineering organization standardizes on React. This is a long-term engagement for an engineer who is comfortable across the stack, cares about clean and performant code, and can drive features from design to production with high ownership and minimal supervision.

Requirements:

• Strong backend development experience with C++ (the bulk of the backend is built on a custom in-house framework)
• Hands-on experience with AWS, particularly S3
• Proficiency with Protobuf
• Experience deploying and operating services on Kubernetes, including performance-driven traffic routing to pods
• Performance engineering skills — hash-based routing, SSD-based caching, and memory-mapped files
• Solid systems / low-level fundamentals (there is no off-the-shelf framework to rely on — much of the stack is custom)
• Ability to work highly autonomously and drive work forward with minimal supervision
• Strong communication skills and experience working in distributed teams (Europe/Ukraine time zone; ~1–2 hours of daily overlap with a US-based team)
• Hands-on experience with AI-assisted development tools — e.g. Claude Code and Codex — including AI skills, plugins, and MCP (Model Context Protocol), with a clear understanding of how to boost personal productivity and code quality using AI tooling.

Nice-to-Have:

• Familiarity with OpenTelemetry / observability tooling
• Understanding of LevelDB SSTable concepts and sorted, time-keyed data structures
• Familiarity with Python (used only for a small metadata/auth service)
• Basic DevOps skills.

Key Responsibilities:

• Optimize the performance of the C++ data-streaming backend — efficient delivery of large recorded datasets to the browser
• Work on infrastructure-level optimizations: traffic routing to Kubernetes pods, hash-based routing, SSD-based caching, and memory-mapped files
• Operate within a custom data-handling stack — a C++ framework, a custom HTTP server, and a proprietary data format built on top of LevelDB SSTables and Protobuf
• Take ownership of performance work end-to-end, proactively identifying bottlenecks and driving solutions independently
• Collaborate with a primarily US-based team with ~1–2 hours of daily overlap, while working largely independently
• Participate in code reviews and design discussions.

About the Project:

You'll join the engineering team of a leading technology company building autonomous mobility and robotics systems. The team develops an internal data visualization platform — a "video and data player" that renders 3D scenes, lidar, and audio recorded by autonomous vehicles. This role sits on the performance work stream: the backend reads on-vehicle data stored in S3, deserializes it from a custom, time-keyed format, and streams it to the browser. The data-transfer service is implemented in C++, and most of the platform's performance gains are expected to come from the backend.

This is a long-term engagement for a strong systems engineer who enjoys low-level performance work and is comfortable ramping on a heavily custom stack with high ownership and minimal supervision.

Experienced Microsoft.NET developer in building backend systems in Microsoft Azure. You will design and build services in a service oriented architecture.

Requirements:
 

• At least 3 years of experience designing and building APIs in ASP.NET (version 8.0 or higher)
• At least 3 years with Entity Framework Core (version 8.0 or higher)
• At least 3 years with Microsoft Azure
• At least 4 years with C#
• At least 4 years building unit and integration tests
• Knowledge of service oriented architecture principles
• Knowledge of integration patterns and principles
• Knowledge of OAuth / OpenID Connect security protocols
• Works according to SOLID principles
• At least 3 years with Azure DevOps and Git
• Understanding of UML activity diagrams and sequence diagrams

Nice to have:

• Azure Platform Services (App Service, Service Bus, Key Vault, Storage, SQL Database, AI Search)
• Azure DevOps YAML pipelines with PowerShell and Azure deployment services
• T-SQL (SQL Server)
• The IDesign Method

What We Offer:

• Transparent bonus payment system
• Competitive salary with regular compensation reviews
• Opportunity to bring your ideas to life and lead the entire process
• 40-hour workweek with flexible scheduling
• Paid vacation and sick leave benefits

Experienced Microsoft.NET developer in building backend systems in Microsoft Azure. You will design and build services in a service oriented architecture.

What We Seek:

• Proven experience in designing and building APIs in ASP.NET (version 8.0 or higher)
• Proven experience with Entity Framework Core (version 8.0 or higher)
• Proven experience with Microsoft Azure
• At least 8 years of professional experience with C#
• At least 8 years of experience in building unit and integration tests
• Knowledge of service-oriented architecture (SOA) principles
• Knowledge of integration patterns and principles
• Knowledge of OAuth and OpenID Connect security protocols
• Adheres to SOLID principles
• At least 7 years of experience with Azure DevOps and Git

• Understanding of UML activity diagrams and sequence diagram.

   

A plus when has:

• Proven knowledge of the following Azure Platform Services; App Service, Service Bus, Key Vault, Storage (blob- and table storage), SQL Database, AI Search
• Proven knowledge of Azure DevOps yaml pipelines in combination with powershell and Azure deployment services
• Proven knowledge of T-SQL (SQL Server)
• Proven knowledge of the IDesign Method

What We Offer:

• Transparent bonus payment system
• Competitive salary with regular compensation reviews
• Opportunity to bring your ideas to life and lead the entire process
• 40-hour workweek with flexible scheduling

• Paid vacation and sick leave benefits

   

About the Client

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.
 

About the Role

We are seeking an experienced Business Analyst / Business Systems Analyst to support reporting and analytics initiatives within a global pharmaceutical organization.

The successful candidate will act as a bridge between business stakeholders and technical teams, helping transform business challenges into actionable reporting and analytics solutions. The role requires strong analytical thinking, experience gathering and documenting requirements, and a solid understanding of modern reporting platforms and data-driven decision-making.

The specialist will work closely with business users, Power BI developers, and data engineers to define requirements, design reporting solutions, validate concepts, and ensure delivered solutions address real business needs.
 

Key Responsibilities

• Collaborate closely with cross-functional teams, including business stakeholders, Power BI developers, and data engineers, to understand business objectives and identify opportunities for reporting, analytics, and process improvement.
• Conduct thorough requirements analysis for reporting and analytics initiatives, including gathering, documenting, and validating business and functional requirements to support solution design and development.
• Create and maintain comprehensive documentation, including user stories, functional specifications, business requirements, process flows, reporting requirements, and acceptance criteria.
• Define and document KPIs, metrics, business rules, data requirements, and reporting logic to ensure solutions effectively address business needs.
• Collaborate with Power BI and Foundry engineering teams to design and deliver reporting and analytics solutions that align with business objectives.
• Support solution validation and user acceptance testing (UAT), ensuring delivered reports, dashboards, and analytical solutions meet business requirements and provide meaningful insights to end users.
• Contribute to the continuous improvement of reporting, analytics, and decision-support capabilities across the organization.

Required Qualifications

• 4+ years of experience as a Business Analyst or Business Systems Analyst
• Experience working on reporting, analytics, BI, or data-focused projects
• Good understanding of Power BI capabilities and experience defining requirements for Power BI reporting and dashboard solutions.
• Strong requirements gathering and documentation skills
• Experience creating user stories, process flows, functional specifications, and acceptance criteria
• Strong analytical and problem-solving skills
• Ability to communicate effectively with both business and technical stakeholders
• Experience working in international and cross-functional environments

Nice to have

• Experience working with enterprise data platforms such as Palantir Foundry.
• Hands-on experience with Power BI report development, dashboard creation, or self-service analytics.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

USENSE is a Ukrainian IT outstaffing/outsourcing company specializing in web and mobile application development for clients across Europe and the USA. Over the past 5+ years, we have successfully delivered more than 50 commercial projects in Healthcare, Crypto, Education, Fintech, CRM Systems, and Food Delivery.We are expanding our team and opening a position for a Junior Angular Developer, someone with foundational technical skills, hands-on experience, and strong motivation to grow as a frontend engineer.

Responsibilities
• Develop user interfaces using Angular under the guidance of Team Leads and Senior engineers.
• Implement components, services, forms, and maintain project structure.
• Integrate frontend functionality with REST APIs and handle data processing.
• Convert UI/UX designs (Figma) into responsive, cross-browser user interfaces.
• Participate in code reviews, apply feedback, and follow coding standards.
• Support and optimize existing frontend functionality; gradually adopt best practices.
• Collaborate with designers, backend developers, QA engineers, and product teams.

Must-Have Technical Skills
• Solid knowledge of JavaScript (ES6+) and TypeScript, understanding of OOP principles.
•.    Practical experience with Angular
• Reactive and/or template-driven forms.
• Strong understanding of HTML5, CSS3 / SCSS, responsive and cross-browser layout.
• Basic understanding of REST APIs, JSON, asynchronous operations.
• Hands-on experience with Git (branching, pull requests).
• Ability to work with UI mockups (Figma).
• English level B1 or higher (required).

Nice to Have
• Knowledge of RxJS and reactive programming (Observables).
• Experience with Angular Material or other UI component libraries.
• Basic understanding of unit testing (Jasmine/Karma).
• Familiarity with performance optimization concepts and clean code practices.
• Experience working in Agile/Scrum teams.

We Offer
• Mentorship from Senior/Team Lead engineers and a structured learning roadmap during the first 2 months.
• Regular code reviews, exposure to real production workflows, and guidance on best engineering practices.
• Remote collaboration with a flexible schedule (Mon–Fri, 10:00–19:00 with adjustments possible).
• Opportunity to receive a long-term offer after the trial period and grow into Middle/Senior positions.
• Supportive team, transparent processes, and professional development within a stable company.

We're looking for a talented Game Designer to join us on a freelance basis (2–3 months) and help create engaging web-based slot experiences. If you know how to turn a concept into a polished GDD, understand what makes players stay, and can move fast without losing quality — we'd love to hear from you.

What you'll be doing

• Developing game concepts based on client requirements and market trends
• Writing clear, detailed GDDs covering mechanics, features, and gameplay flows
• Balancing difficulty curves and pacing to keep players engaged
• Designing intuitive UI that ensures smooth interaction, easy navigation, and clear feedback
• Supporting art, animation, and sound teams — reviewing, consulting, and advising
• Running playtests, analyzing metrics, and iterating on the product

What we're looking for

• 3+ years of game design experience with a focus on slot mechanics
• Strong GDD skills — you can write them and read them equally well
• Solid understanding of what makes slots engaging: triggers, bonus rounds, pacing, player psychology
• Experience using data and metrics to drive design decisions
• Awareness of current iGaming market trends and player preferences
• Upper-Intermediate English (written and spoken) — must
• Strong communication skills and comfort working in cross-functional teams

Nice to have

• Basic mathematical knowledge for slot balancing

Recruitment process

CV review → Interview with Recruiter → Technical Interview with Hiring Manager → Offer