Jobs at Djinni

Stellar Logic specializes in custom IT solutions for international clients. We help businesses build internal systems and enterprise software that power their operations — from complex business logic to full-scale automation.

We’re looking for a hands-on Tech Lead / Senior Full-stack .NET Developer to join an existing engineering team and help strengthen technical ownership, delivery clarity, and client communication.

This role is for someone who enjoys staying close to the code, but also wants to influence technical decisions, guide other developers, improve engineering standards, and act as a reliable technical point of contact.

What You’ll Do

Hands-on Development: Build and improve backend and frontend parts of the system using .NET / C# and Angular.

Technical Leadership: Take ownership of technical decisions, code quality, implementation approaches, and engineering standards.

Team Coordination: Support planning, estimation, task decomposition, code reviews, and technical alignment within the team.

Architecture: Participate in system design, distributed architecture, integrations, scalability, and maintainability improvements.

Cloud & Infrastructure: Work with cloud environments, Kubernetes, CI/CD, and infrastructure-related tasks.

Client Communication: Communicate directly with the client on technical topics, clarify requirements, explain risks, and propose solutions.

Mentoring & Support: Help developers of different seniority levels through technical guidance, knowledge sharing, and practical support.

What We’re Looking For

Must-have:

• 5+ years of commercial software development experience
• Strong hands-on experience with .NET / C#
• Practical experience with Angular
• Experience with APIs, integrations, backend services, and complex business logic
• Experience with relational and/or NoSQL databases, ideally PostgreSQL and/or MongoDB
• Understanding of distributed systems, scalability, maintainability, and technical trade-offs
• Experience with cloud environments, preferably Azure and/or AWS
• Understanding of CI/CD processes and modern development workflows
• Previous experience as a Team Lead, Tech Lead, Lead Engineer, or in a role with similar technical responsibility
• English B2+ for direct communication with international clients
• Ownership mindset: ability to take responsibility for technical decisions, delivery risks, and the final result

Will be a plus:

• Experience with Kubernetes, Azure DevOps, Terraform / ARM / CloudFormation
• Experience with retail, e-commerce, logistics, supply chain, pricing systems, or internal enterprise systems
• Experience working in outsourcing / outstaffing or another client-facing environment
• Experience mentoring developers or coordinating a small engineering team

Why Work with Us?

🛠 Built around custom solutions
At Stellar Logic, we work on systems shaped around real business processes, not templates. Our projects often involve complex logic, integrations, internal workflows, and product decisions that require thoughtful engineering.

🎯 Small teams, meaningful ownership
You won’t be one of many people in a large structure. We work in focused teams where each person has visible impact, takes ownership of their part, and can influence both technical and product decisions.

⭐ Quality over quick fixes
We care about building software that is clear, reliable, and maintainable. Good engineering for us means understanding the problem, thinking through the solution, and delivering work that the team can build on.

🤝 Close collaboration with clients and teams
Our work requires direct communication, trust, and context. You’ll collaborate closely with people who care about the result — from engineers and designers to business stakeholders.

🚀 Room to grow with responsibility
Growth at Stellar Logic comes through ownership: taking on more complex tasks, leading initiatives, improving processes, mentoring others, or deepening your technical expertise.

What We Offer

Remote-first cooperation: Work from anywhere while staying connected with your team and international clients.

Flexible working hours: We value autonomy and trust, with core meetings for team and client alignment.

Paid vacation and sick leave: We support a healthy balance between work, rest, and personal life.

Tax and accounting support: We help with the administrative side so you can focus on your work.

Professional development: We support learning, certifications, and growth within your role.

Long-term collaboration: We aim to build stable cooperation, transparent communication, and a working environment where people can do their best work.

Not Meeting Every Skill?

Don’t worry if you don’t match every single requirement.
If your experience is close to what we’re looking for, you enjoy solving complex problems, and you’re ready to take ownership, we’d still be happy to talk.

Computer Vision engineer

DeepX is looking for a Computer Vision engineer

Core requirements:
- Python development experience
- Knowledge of popular data processing libraries (numpy, pandas, scipy etc)
- GIT, Linux, bash

Nice to have (or able to learn quickly):
- Hands-on experience with popular Machine Learning frameworks (OpenCV, Pytorch, Tensorflow, Keras, Yolo)
- Understanding of Computer Vision problem space
- Machine Learning and Artificial Neural Networks fundamentals
- Linux, Docker, gcc/make etc experience
- C++ and C, creating Python C extensions

A bit about DeepX company:
DeepX is an R&D intensive and innovation-driven consortium that provides Artificial Intelligence-powered Computer Vision solutions for businesses.
Please, take a look to find out more about us https://deepxhub.com/
We are a group of enthusiastic adherents who are passionate about the idea of improving this world’s safety by making Computer Vision technologies more advanced. Lifetime learning is our motto, we are admire ambition hard workers who are ready to face new challenges. If you feel like we might be on the same page, please, apply!

We provide AI and MLOps services to product IT companies across Europe and the USA. As we scale into new markets, we're growing our sales team.

Requirements:

• 1+ years of B2B sales experience (IT/tech services preferred);
• Full sales cycle experience — from lead gen to closing;
• Strong communication and negotiation skills;
• Upper-Intermediate English or higher;
• Interest in AI/ML market — willingness to quickly learn the domain.

Responsibilities:

• Find and acquire new clients in Europe & USA;
• Present services, handle objections, close deals;
• Manage CRM;
• Hit KPIs on meetings, leads, and contracts;
• Work closely with the technical/delivery team.

We offer:

• Base salary + % from contracts;
• FOP registration + social package;
• Fully remote, full-time;
• Growing AI/MLOps market with international clients;
• Friendly team, no bureaucracy.

We’re Applyft — an IT product company which creates value-driven mobile and web apps. Our journey began with the Geozilla family locator product, but now our portfolio consists of 8 apps in Family Safety, Parental Control and AI.

In 2025, we launched a new direction — Finestro, an AI-powered educational app that helps people master AI, improve their financial well-being, and unlock new growth opportunities.

Now we are looking for a Middle/Senior Marketing Data Analyst to support analytics across user acquisition and marketing performance.

About you:

• Strong SQL skills (BigQuery or similar).
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback.
• Experience working with large-scale datasets (transaction-level, event-level).
• Strong analytical thinking and ability to translate data into business insights.
• Experience with BI tools (Tableau/Looker Studio).

• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).

   

What you’ll do:

• Analyze marketing performance across different channels (Meta, Google, etc.).
• Work with core datasets (spend, revenue, LTV, attribution).
• Transform marketing data into clear, actionable decisions for scaling.
• Analyze traffic quality, channel performance, and unit economics.
• Identify growth opportunities and initiate data-driven improvements.

• Work with LTV forecasts, payback periods, and scaling scenarios.

   

Nice to have:

• Experience with subscription-based products.
• Experience with payment data (Stripe, PayPal, refunds, chargebacks).
• Python skills.
• Familiarity with ML models and data science.
• Experience with Amplitude, AppsFlyer.
   

We Offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special evens
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.
• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.

Hiring process:
Recruitment Screen 👉Tech interview 👉Final Interview 👉 Reference Check 👉 Job Offer

Turn your expertise into real impact — be part of our team!

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.

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 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.

The role

You'll be a hands-on engineer working across our whole product: the Flutter consumer app, the AI coach and publishing platform, and the Supabase backend they share. You'll own features end to end - scoping, building, testing, shipping, and monitoring them - with a high degree of autonomy and trust.

We're hiring at mid level, deliberately: as the business grows, we want this person to grow into a senior technical leader on the product. You'll get increasing ownership of architecture decisions, internal tooling, and engineering practices as you demonstrate you can carry them.
 

What you'll actually work on

• Consumer features in the Flutter app (iOS, Android, web): the coach chat experience, the audio player, onboarding and subscription flows.
• The AI lifestyle coach - our flagship AI feature, and real agentic engineering: an LLM coach with selectable personas, long-term memory (it extracts and recalls what matters to each reader across sessions), and a toolbox of actions - recommending books, pulling chapter content, saving daily intentions and takeaways, tracking goals — with safety guardrails and context management (compaction, resumable sessions) built in. 
• The AI publishing pipeline — the machine that turns a raw book PDF into a polished, multi-language product: parsing → LLM summarization → translation → AI cover generation → ElevenLabs text-to-speech with audio stitching, orchestrated as durable, crash-safe workflows
• Backend work in Supabase: Postgres schema and migrations, Deno edge functions (payments webhooks, notifications, the coach backend).
• Internal tooling: publishing scripts, the LLM eval harness, developer-experience improvements. If a manual process annoys you, you're empowered to automate it.
• CI/CD: we run GitHub Actions, Codemagic mobile builds, and migration-validation pipelines — you'll help keep releases boring and frequent, and raise the bar on testing and deployment practice.
• AI-assisted development is how we work: we use AI coding tools (Claude Code and similar) as a core part of feature development, and we expect you to use them well — including knowing when not to trust them.
   

What we're looking for

These are our must have requirements. If you meet most of them, please apply.

• 4+ years of professional software engineering experience, including features you've shipped to production and supported afterwards.
• Strong in our two main stacks - Flutter/Dart and TypeScript/React
• Production experience with a relational database (we use Postgres via Supabase).
• Able to work independently in a remote team: you can take a loosely-defined feature, scope it, ask the right questions in writing, and drive it to done.
• Working proficiency in English (our working language).
• Degree in a STEM subject
   

Nice to have (genuinely optional)

• Supabase, or Next.js App Router experience
• Building LLM-powered features (prompting, evals, AI SDK / LangChain-style tooling)
• Mobile release experience (App Store / Play Store, Codemagic or fastlane)
• Payments and subscriptions (Stripe, Adapty/RevenueCat)

Deep AI/ML & Dev Background: A strong foundation in traditional machine learning, computer vision, and modern Generative AI/Agentic frameworks. You have a proven track record as a software engineer (Python, C++, etc.) who understands production-grade architecture.
Physical AI Familiarity: True passion for the intersection of software and the physical world. You understand how AI interacts with edge computing, robotics (ROS), IoT protocols, or industrial automation (PLCs).
Industry Awareness: You are genuinely obsessed with the state of the art. You know what models dropped last week, which hardware accelerators are trending, and how competitors are approaching physical automation.
The Proactive Ideator: You don't wait for a ticket to be assigned. You look at a client's industrial problem, generate three viable AI solutions, pick the best one, and start building the proof-of-concept.
Technical Communicator & Consultant: Excellent communication skills with the ability to translate complex AI models into clear business value for C-level clients during pre-sales, while maintaining deep technical credibility with engineering teams.

Job Responsibilities:

Engineering Unit Ideation & Execution: Generate, evaluate, and implement cutting-edge Physical AI use cases. You will own the technical roadmap for our prototypes, ensuring we are constantly pushing the boundaries of what AI can do in the physical realm.
Pre-Sales & Client Architecture: Partner with business development to review client requirements, architect end-to-end Physical AI solutions, and present the technical vision directly to customers. You will support the critical transition from a signed contract to a launched project.
Technical Review & Mentorship: Act as the ultimate technical authority for the Engineering Unit. You will review code, evaluate architecture diagrams, ensure high engineering standards, and guide junior developers as the team grows.
Internal Networking & Knowledge Sharing: Connect with technical leaders and capabilities across the company to leverage existing expertise. You will keep your finger on the pulse of global AI/ML advancements, ensuring our Engineering Unit always uses the latest, most efficient technologies.
Hands-on AI/ML Development: Maintain a strong development presence. You will design and implement the software glue, agentic workflows, and ML models that allow digital brains to interact with physical sensors, actuators, and industrial systems.

Department/Project Description:

The Vision
Generative AI is stepping out of the browser and into the physical world. We are building "Physical AI" - bridging digital agentic intelligence with real-world mechanical, robotic, and industrial systems. To prove this to our clients in manufacturing, energy, and mobility, we don't just build slide decks; we build functioning physical prototypes and architect scalable, real-world solutions. We are establishing a brand-new Physical AI Engineering Unit to target massive operational impact for Fortune 500 customers. We are not running isolated lab experiments; we are engineering the future of physical operations, and we need a technical anchor to help us build this foundation from the ground up.
The Role
You are the technical heartbeat and catalyst of our Physical AI EU. This is a highly dynamic, proactive role that demands a rare blend of deep technical mastery (AI/ML + software development) and entrepreneurial drive. You aren't just waiting for architectural blueprints to be handed to you; you are the one generating the ideas, reviewing the technical solutions, and bringing them to life.
You will naturally connect the dots across our company - communicating with internal engineering teams, staying ahead of the latest industry breakthroughs, and acting as the technical face of this EU during pre-sales activities.

Our company specializes in the development and mass production of high-tech unmanned aerial systems in Ukraine. We are seeking a qualified UAV Design & Systems Engineer capable of developing robust structural hardware and integrating it effectively with avionics and control systems.

 

Key Responsibilities:

Design UAV airframes (fixed-wing, multirotor, and VTOL systems), mechanical assemblies, and manufacturing tooling utilizing SolidWorks or Autodesk Fusion.

Integrate avionics, payloads, communication systems, power supplies, and actuators into the airframe structure.

Perform structural strength (FEA) and aerodynamic (CFD) simulations to validate designs.

Configure control flight systems and actively participate in laboratory testing and field flight trials.

Author and maintain technical and engineering documentation.

Requirements:

Proven professional experience in aircraft or UAV structural design.

Proficiency in SolidWorks, Autodesk Fusion, and Ansys Fluent (or equivalent CFD/FEA software suites).

Thorough understanding of the ArduPilot ecosystem (ArduPlane / ArduCopter) and Ground Control Stations (Mission Planner, QGroundControl).

Practical familiarity with hardware components: flight controllers (Pixhawk, Cube architectures), sensor integration (IMU, Pitot tubes), and standard protocols (PWM, CAN, UART, I2C).

Practical experience working with composite materials (carbon fiber, fiberglass) and additive manufacturing processes (3D printing).

Preferred Qualifications:

Experience utilizing SITL/HITL simulation environments to validate aerodynamic and mechanical changes.

Ability to extract and analyze ArduPilot flight logs (.bin format) to optimize structural performance and address vibration issues.

 

We Offer:

Direct involvement in the production of advanced high-tech defense and commercial systems.

Competitive salary and performance-based bonus structures.

Official employment and military deferment (booking / бронювання) in strict accordance with current Ukrainian legislation.

Access to a fully equipped production facility and a professional engineering team.

Employment Format: Full-time, strictly on-site (office/laboratory).

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. Those in solution architecture at PwC will design and implement innovative technology solutions.

The Solution Architect will join a team that manages and enhances the ServiceNow platforms and products for the PwC network of firms. We are currently focused on building a new global instance, migrating users from our legacy instance, and delivering new ServiceNow products and solutions aligned to business requirements.

Key Responsibilities:

• You will design solutions that align business requirements with baseline product capabilities to deliver business outcomes and value.
• You will manage the product roadmap(s) and contribute to the strategy for offering new features and products to customers.
• You will collaborate with a globally inclusive cross-functional team to translate requirements into actionable user stories and technical specifications.
• You will act as a subject matter expert on one or more ServiceNow products and the value they offer to the network of firms.
• You will provide guidance and support to development teams and customers aligning requirements to baseline product usage, minimizing customization.
• As a part of the broader global technology organization, you will solve problems and build trust through solutions that advance PwC strategies.

Required Qualifications:

• Proven experience as a ServiceNow implementer, Solution Architect, or technical architect.
• Relevant certifications and training.
• Advanced skills in one or more ServiceNow products.
• Preference for fast-paced environment managing multiple priorities.
• Customer centric mindset.
• Excellent communication and presentation skills.
• Software development life cycle, project delivery, and agile development experience.
• Business process design experience a plus.

Preferred Skills:

• Certified Technical Architect certification.
• Experience in managing operations aligned with organizational vision.
• Ability to identify trends and validate client outcomes using analytics.
• Experience in process automation and operational productivity improvements.

• Knowledge of compliance standards and risk management frameworks.

   

Competencies

· Familiarity with Agile development methodologies and tools.

· Strong problem-solving and analytical skills.

· Effective communication and collaboration across global teams.

· Understanding of configuration management concepts

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are looking for someone to build and grow sales and partnerships in Asia—the region with the highest concentration of payment systems, exchanges, and crypto B2B players.

Responsibilities:
Please apply only if you live now in Asia 

— Identify and onboard new B2B clients (payment systems, exchange platforms, crypto services) in Asia

— Attend industry-specific exhibitions and conferences (crypto, fintech, blockchain) for networking

— Build personal relationships with potential partners and conduct negotiations

— Manage deals from initial contact through to client onboarding

— Maintain and develop existing partnerships

— Analyze the market, competitors, and client needs in the region

What we’re looking for:

— Experience in B2B sales, preferably in crypto/fintech/payment systems

— Willingness and ability to travel throughout Asia (for trade shows and meetings)

— Understanding of the crypto market (or willingness to quickly immerse yourself in it): what TRON, Energy/Bandwidth, and USDT transactions are

— English proficiency sufficient for fluent communication with partners

— Sociability, persistence, and the ability to build long-term relationships

— A systematic approach and a focus on results, not just “going through the motions”

— An established network of contacts in the Asian payments/crypto industry
— Experience participating in industry trade shows as a company representative
Terms:
— Long-term collaboration
— Work format: remote + business travel to trade shows/meetings
— Compensation: base salary + commission / bonus for closed deals (terms negotiable)
What won’t work:
— A formal approach of “just sending out sales pitches”
— Unwillingness to travel to in-person events

Requirements:

Linux (3+years)

Docker containers, create docker images (3+years)

Kubernetes, — necessarily (2+years)

Rancher/RKE2 - (1+year)

Production experience with at least one: GCP, AWS, AZURE,  (3+years) Ansible, Terraform (3+years)

Nginx, Istio, Traefik

GitLabCI, CircleCI

MySQL, PostgreSQL, MongoDB

Prometheus/Loki/Grafana

Understanding of HTTP, DNS, SSL protocols

Quick learning abilities

Solve difficult tasks in a short time

English upper-intermediate оr higher

K8s on premise will be a plus

Responsibilities:

Containerization, migration, automation of web applications

Support and deployment of applications and servers, infrastructure troubleshooting

Creating documentation for teamwork

Ensuring the operability of all systems, testing and upgrades

Search and management of new technologies for optimal performance

What we provide:

Part-time

Fully remote 

Adequate leadership

ABOUT COMPANY

SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.

We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business ability, and we take every step with extra care. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.

Our customer is Anheuser-Busch InBev (AB InBev), the biggest brewery company in the world. We own over 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck’s, Leffe, Chernihivske) in 150 countries and are considered to cover 28% of the global beer market worldwide. European HQ is in Leuven, Belgium.

REQUIREMENTS

• 4+ years in a Data Scientist or similar analytical role
• Proficiency in Python or R and experience with core data science libraries and toolkits
• Solid grasp of the full data science workflow: from ETL and EDA to feature engineering, modeling, and evaluation
• Strong understanding of machine learning techniques for classification and regression tasks
• Familiarity with descriptive and inferential statistics
• Confident communication skills and a good sense of data visualization principles

Nice-to-have skills

• Hands-on experience with Design of Experiments or recommender systems
• Exposure to cloud platforms (e.g., Azure) and scaling analytical solutions
• Working with APIs to gather external data, ideally from social media platforms
• General software engineering skills

RESPONSIBILITIES

• Support prediction modeling and measurement initiatives by scaling and deploying solutions together with global analytics hubs to improve commercial KPIs
• Maintain and update data pipelines, monitor model performance and stability across multiple use cases and markets
• Contribute to live testing activities by enhancing the test-and-learn platform and helping stakeholders design and run in-market experiments
• Optimize online promotion strategy, including calendar planning, execution logic, and personalization to drive higher conversion and long-term customer value
• Collaborate with the broader data science team to refine existing tools, methods, and best practices

Willing to relocate to Madrid.

Job Description

- 2–4 years of experience in GUI/UI test automation (any platform).
- Practical Swift skills — comfortable reading and writing production Swift code.
- Experience with XCUITest / XCTest on macOS or iOS, including the Page Object pattern.
- Working knowledge of SwiftUI — accessibility identifiers, view hierarchy basics, async state.
- Day-to-day use of Xcode and xcodebuild, test plans (.xctestplan), schemes.
- Git fluency — branching, rebasing, resolving conflicts, disciplined PR workflow, good commit hygiene, comfortable reviewing and being reviewed.
- JIRA (or equivalent issue tracker) — creating well-scoped tickets, linking PRs, writing reproductions, keeping statuses current.
- Jenkins CI/CD hands-on experience — reading and modifying Jenkinsfiles, triaging red builds, understanding declarative pipelines, stages, artifacts, and agents.
- Conda / virtual environment fluency — creating and activating envs, resolving dependency conflicts, understanding how PYTHONPATH, Poetry, and pyproject.toml interact. Awareness that
breaking an env breaks the whole pipeline.
- A systems mindset: understands that a passing local test is not a passing PR, and that coding practices (imports, globals, shared state, flaky waits, dependency bumps) can cascade
into CI and team-wide breakage.
- Debugging mindset for async / flaky UI tests — waits, expectations, race conditions.
- Professional English, written and spoken — the team operates in English and most collaborators are in PST.
- Willingness to overlap ~3–4 hours daily with PST

Job Responsibilities

- Write and maintain XCUITest automation using the existing Page Object structure.
- Add coverage for new features and user flows as the apps evolve.
- Investigate and fix flaky tests; reproduce, triage, and root-cause failures.
- Own your changes through CI — debug Jenkinsfile stages, read pipeline logs, understand how your test affects downstream jobs (build, publish, acceptance).
- Keep Conda / Poetry / npm environments healthy in the repos you touch; avoid dependency drift and lockfile breakage.
- Track work, bugs, and flaky-test investigations in the team's issue tracker (JIRA or equivalent) with clear reproduction steps and logs.
- Collaborate async with PST-based developers via Git code reviews, written specs, and written updates.
- Contribute improvements to the test framework (helpers, utilities, reporting) under guidance from senior engineers.