Simplify

Middle Full Stack Developer (PHP + Vue.js/React) is needed, English B1+
Project: research organisation dedicated to understanding and addressing the country’s longstanding productivity challenges.

Requirements:
• At least 2 years of professional experience in full-stack software development.
• Strong background in PHP and Laravel framework.
• Practical experience with modern front-end frameworks (Vue.js or React).
• Knowledge or exposure to Machine Learning concepts.

Nice to have:
• Experience with AWS infrastructure and DevOps practices.
• Hands-on experience with CI/CD pipelines (such as GitHub Actions).
• Practical experience with Python.

Full-time. 12+ months, start in 2-3 weeks

Python / Django / React
About the Project
We are working with a fast-growing, venture-backed US startup building an AI-powered go-to-market automation platform.
The product helps companies find and enrich potential customers, automate outbound communication through email and LinkedIn, generate sales pipelines, and book meetings using AI agents.
The company is growing quickly and is looking to expand its engineering capacity with a strong, product-minded engineer who can work as an embedded member of a small founding team.
The Role
We are looking for a Senior Full-Stack Software Engineer with a strong backend focus.
Approximately 70% of the work will be backend development with Python, Django, and SQL, while around 30% will involve React and product-facing frontend development.
You will work directly with the founders and other engineers, take ownership of product features, communicate with customers, and contribute to technical and product decisions.
This role is best suited to someone who enjoys working in a small, fast-moving startup environment with significant ownership and limited bureaucracy.
Responsibilities

Own product features across the full development lifecycle.
Design, build, test, deploy, and maintain backend and frontend functionality.
Develop backend services using Python, Django, and SQL.
Build and improve user-facing functionality using React and JavaScript.
Architect scalable and maintainable technical solutions.
Work with AI agents, data enrichment processes, and automation workflows.
Use AI coding assistants and agentic development workflows to accelerate delivery.
Debug production issues and improve system performance and reliability.
Work directly with customers to understand problems and translate feedback into product improvements.
Participate in product roadmap, architecture, and technical strategy discussions.
Collaborate closely with the founders and the rest of the engineering team.
Communicate progress, risks, and technical trade-offs clearly.
Required Experience

5+ years of professional software development experience.
Strong commercial experience with Python.
Strong knowledge of SQL and relational databases.
Experience building and deploying software used by real customers.
Full-stack development experience, with a stronger focus on backend engineering.
Experience designing APIs, backend services, and production systems.
Ability to independently take a feature from an initial idea to production.
Experience working with modern AI coding assistants or agentic coding workflows.
Strong debugging and problem-solving skills.
Product-oriented mindset and ability to make practical engineering decisions.
Strong written and spoken English.
Ability to work effectively in a fast-paced and sometimes ambiguous startup environment.
Availability for regular working-hours overlap with a New York-based team.
Preferred Experience

Commercial experience with Django.
Experience with React and JavaScript.
Experience with Pandas and dataframe-based data processing.
Experience with Node.js.
Knowledge of AWS or another major cloud platform.
Experience working with AI-powered products, LLMs, autonomous agents, or workflow automation.
Previous experience in sales technology, marketing technology, data enrichment, or B2B SaaS.
Experience working directly with customers.
Experience leading engineers or owning technical initiatives.
Previous experience in an early-stage startup.
What We Value
Ownership
You can independently understand a problem, propose a solution, and deliver it without constant supervision.
Speed
You know how to move quickly while maintaining an appropriate level of engineering quality.
Product Thinking
You consider customer value and business impact rather than focusing only on technical implementation.
Communication
You communicate openly, raise risks early, and collaborate productively with both technical and non-technical colleagues.
Adaptability
You can prioritize effectively and adjust your approach as product and business requirements evolve.
Humble Confidence
You are comfortable presenting strong technical opinions while remaining open to better ideas.
Team and Communication
You will join a small, highly involved startup team and work directly with the company’s founders and engineers.
The team communicates through Slack and holds daily stand-ups. Close communication, fast feedback, and active participation in technical and product discussions are important parts of the role.

Stage 1: Screening and Technical Interview
A discussion covering:

Professional background and relevant projects.
Python, Django, SQL, and full-stack experience.
Product ownership and startup experience.
AI-assisted development workflows.
Communication and team fit.
Stage 2: Final Technical Interview
A more detailed session that may include:

System architecture and design discussion.
Practical Python and SQL exercises.
Debugging or extending an existing solution.
Discussion with founders and other team members.

US timezone

Requirements:
• 5+ years of experience designing, building, and operating production-grade serverless applications on AWS
• Strong hands-on experience with AWS CloudFront, API Gateway, Lambda, Cognito, and DynamoDB
• Proven experience deploying and managing infrastructure across multiple AWS regions
• Solid Infrastructure as Code expertise using Pulumi or Terraform
• Experience with near-real-time event streaming and push notification systems
• Strong knowledge of CI/CD pipelines, release management, rollback strategies, and multi-environment deployments
• Strong software engineering fundamentals (IoC, DRY, KISS, Single Source of Truth)
• Experience creating integration and end-to-end tests for backend, frontend, and infrastructure components
• Experience working with AI-powered development tools, prompt engineering, and multi-agent systems
• Strong troubleshooting and performance optimization skills in distributed, event-driven architectures
• English: Upper-Intermediate +

Nice to have:
• Experience with AI-driven multi-agent orchestration and conversational platforms
• Commercial experience with C#, Rust, and/or Flutter
• Experience using Pulumi with C#
• Background in EdTech, audio/video streaming, or real-time communication platforms

Work setup:  Fully remote

Engagement:  Project-based, ~6 months, with likely extension depending on business needs

Role summary

We are looking for a senior data / analytics engineer specialising in Looker (LookML) to lead the modelling and presentation layer that turns raw Google Cloud data into governed, self-service insight for our clients.

The heart of the role is running a complex, multi-tenant Looker environment. You will maintain a LookML layer that uses dynamic properties and user attributes to route each user to their own BigQuery dataset — keeping this shared "single model, many tenants" architecture secure, scalable and fast.

Required skills & experience

• Looker / LookML — expert-level: building complex models and managing Looker instances.
• Version control — managing branches and repositories for models, dashboards and metrics.
• Advanced SQL — strong command of SQL for Google BigQuery, including window functions and nested / repeated fields.
• Multi-tenancy — managing data access and security filtering for multiple external clients within a single BI platform.
• Data governance — using Liquid variables and user attributes in Looker to drive dynamic, context-specific content.
• User administration — managing Looker groups, roles and users, including custom attributes per user.
• GCP — a general understanding of Google Cloud resource structures, enough to interpret the incoming data correctly.

Experience requirements

• 3+ years working with LookML.
• 5+ years working with SQL.
• 3+ years working with Google Cloud Platform (GCP).
• 4+ years working with Google BigQuery.

Work setup:  Remote

Engagement:  Long-term, client-facing implementation role

English:  Strong professional / fluent (stakeholder-facing)

Role summary

We are looking for an engineer to design, configure, integrate and support secure, production-grade generative-AI solutions built on Google Cloud. The core of the role is turning everyday business processes into scalable, AI-powered workflows — enterprise search, knowledge discovery, question-answering and agent-based automation — on top of Google's enterprise GenAI and search stack (for example Gemini Enterprise, Vertex AI Search and Agent Builder). You will work hand-in-hand with business stakeholders, cloud and platform engineers, security teams and application developers to take solutions from discovery through to live operation.

What you'll do

Solution build & AI agents

• Configure and deploy enterprise GenAI applications to match business and customer requirements — data stores, search experiences, actions and agents.
• Build AI-driven enterprise search, knowledge discovery, Q&A and workflow-automation capabilities.
• Create reusable agents that serve operations, customer service, sales, HR and knowledge-management use cases.

Data integration & retrieval quality

• Connect the platform to structured and unstructured company data — Google Workspace, Microsoft 365, databases, document repositories, cloud storage, APIs and third-party business apps.
• Design secure ingestion, indexing, synchronisation and retrieval flows, and make sure applications are wired to the right data stores for answers, actions and agents.
• Improve answer and search quality through metadata design, document preparation, access controls, grounding and retrieval tuning.

Security & governance

• Implement identity, access management and role-based access so retrieval respects each user's existing permissions.
• Keep solutions aligned with organisational security, privacy and governance policy, and work with security/compliance teams on data residency, auditability, retention and responsible-AI requirements.
• Identify and mitigate risks such as data leakage, prompt injection, unauthorised access, hallucinations and inappropriate responses; maintain documentation of architecture, data flows and access controls.

Deployment & operations

• Support solutions across development, testing, production rollout and ongoing operation.
• Monitor usage, search quality, agent performance, latency, errors and user feedback; set up logging, monitoring and alerting.
• Troubleshoot data connectors, indexing, authentication, API and permission issues, and recommend improvements from adoption metrics and evaluation results.

Stakeholder collaboration

• Run discovery sessions to understand requirements, workflows, data sources and desired outcomes, and translate them into technical architecture and delivery plans.
• Produce proofs of concept, demos, documentation and technical presentations; train administrators, developers, support teams and end users on capabilities and responsible use.

Must-have qualifications

• Bachelor's degree in Computer Science, IT, Engineering or a related field — or equivalent hands-on experience.
• 3+ years in cloud engineering, software development, data engineering, AI engineering or enterprise application implementation.
• Hands-on experience with Google Cloud Platform.
• Experience with generative AI, large language models, conversational AI or enterprise-search technologies.
• Experience integrating applications with APIs, databases, cloud storage and third-party systems.
• Proficiency in at least one programming language — Python preferred (Java, JavaScript/TypeScript or Go also welcome).
• Solid grasp of REST APIs, authentication, OAuth, service accounts and identity & access management.
• Working knowledge of prompt engineering, retrieval-augmented generation, grounding, embeddings and semantic search.
• Familiarity with structured and unstructured data ingestion, plus testing, troubleshooting, logging and monitoring.
• Strong analytical, documentation, communication and stakeholder-management skills.

Nice to have

• Hands-on delivery with Google's enterprise GenAI products (Gemini Enterprise / Vertex AI Search / Agent Builder) or comparable platforms.
• Experience with Vertex AI, the Gemini APIs or other conversational-AI platforms.
• Building enterprise AI agents and multi-step agentic workflows.
• Integrating Google Workspace or Microsoft 365 data.
• BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub and API management.
• Document processing, vector search, embeddings and knowledge-management platforms.
• Infrastructure as code and CI/CD (Terraform, GitHub Actions, Cloud Build).
• Understanding of responsible AI, model evaluation, AI governance and enterprise data privacy.
• Prior client-facing consulting, professional-services or enterprise-implementation work.
• Relevant Google Cloud certifications (e.g. Professional ML Engineer, Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, Generative AI Leader).

Core competencies

• Strong problem-solving and analytical thinking.
• Ability to translate business needs into practical AI solutions.
• Attention to data security, privacy and governance.
• Clear technical and business communication.
• Comfortable juggling several implementation priorities and working independently while coordinating across teams.

Simplify
Keep energy for life.

The daily quantum leap of technology development requires people to continually upgrade their skills to manage more complicated programs and devices. It consumes time and energy.

We work for simplifying the digital experience of people by making a wide range of functionally excellent IT products that are still intuitively usable. From the landing page for the one-time event up to the total automation of the business.

We work diligently and adequately because we value our and your time and energy.

If you share our principles — we will be pleased to work with You.

- .NET

- Angular

- TypeScript

- APIs

- cloud-native technologies

Looking for a Senior (Tech lead) Java developer (ASAP)

Workload: full-time

Start: asap

Duration: long-term (3 years)

Location: EU

English: B2

We’re currently scoping a new project for one of our enterprise clients—a major global consulting firm (for whom we already manage several active maintenance and development streams across multiple entities).

We are looking to partner up to secure senior Java capacity for this account. Here are the key details of what we need:

Project Overview

• Scope: Maintenance and further development of large-scale, complex enterprise calculator applications written in Java.

• User Base & Functionality: Used by ~300 international corporate clients. Features include generating JPK/tax compliance files, financial reporting, and complex data statements.

• Team Scaling:

Immediate/Baseline Need: 1–2 Dedicated Java Developers for ongoing maintenance.

Future Scale: Up to 5 specialists as planned platform expansions roll out.

Specifically, we are looking for someone who could:

Join a client discovery call in 1–2 weeks as a potential Head of Development / Lead Architect (or a senior technical authority who will shape the team’s delivery).Transition into the project to drive technical execution and help scale the team as development ramps up.

Senior Distributed Infrastructure C++ Engineer

Workload: Full-time
Duration: long-term
Start: from August
Location: any
English: B2
 

Required expertise:

8+ years C++
Linux systems programming, Kernel knowledge
experience with Kubernetes and Apache Kafka
DASE Architecture knowledge
Filesystems
Thorough understanding of Distributed Systems

Nice to have:

NvME Storage
High-performance networking
Multithreaded systems operating at large scale
Performance optimization
Database engines
Low-latency data paths
Replication and consistency architectures

Senior Full-Stack Developer (Kotlin / Java / React)
EU only (business trip to Germany for 3–4 days every 6 months)

We&;re looking for a strong Senior Full-Stack Developer to join an enterprise project for one of our long-term clients. We already have several developers successfully working on this project.

Project

A web-based platform for German leasing companies that supports and automates their core business processes.

Requirements
 

6+ years of software development experience
Strong Kotlin & Java
Strong React
Experience with PostgreSQL and/or MongoDB
CI/CD & automated testing
Experience with AI-assisted development
Strong software engineering and problem-solving skills
⭐️ Nice to have
Node.js

 Responsibilities
Develop and enhance full-stack applications
Build scalable backend services with Kotlin & Java
Develop modern React features
Improve architecture and optimize existing modules
Collaborate with Product, QA, and DevOps teams
Participate in code reviews

At the moment we are looking for
Frontend – Angular
Backend - Spring Boot (no microservices, the application is monolithic)
Oracle 19 RAC
Messaging Rabbit MQ, integration WSO2
Reporting Tableau
Monitoring Prometheus / Grafana
Deployment Kubernetes
Ci/CD GitOps

But your focus for the role should be on domain in tax or finance
Absolute must is strong hands-on experience in e-services and e-gov platforms, security
And core components Angular and Java plus open source - Liferay, Alfresco, Flowable, KeyCloak, OCR.

CBDO — smplfy 2.0

Привіт! Я — Ростик, CEO Smplfy.

Ми у Smplfy виросли з класичного аутсорсу і сьогодні свідомо змінюємо модель. AI перепаковує індустрію розробки, і ми робимо це самі, не чекаючи, поки за нас це зробить ринок.

Про SMPLFY

8 років на ринку та близько сотні проєктів у нішах від fashion до mil-tech — переважно веб- і мобільні додатки для бізнесу.

Тепер ми відкриваємо новий напрям і я шукаю того, хто його очолить. Ти збудуєш новий напрям Smplfy з нуля — від перших продажів до моделі delivery, ціноутворення і системи росту команди. Вестимеш його цілком: від стратегії до найму, від перших угод до результату.

Твій вплив

• Sales-процеси з нуля. Побудуєш продажі під новий напрям — від першого ліда до закритої угоди, без готового плейбука під рукою.
• Команда під ціль. Найм ключових людей для реалізації цілей напряму — склад команди визначиш сам.
• Delivery-модель. Разом із CTO спроєктуєш, як напрям виконуватиме проєкти — від структури команд до здачі результату.
• Ціноутворення. Розробиш модель ціноутворення для нових послуг — з нуля, без історичних даних, на які можна спертись.
• Аналітика результату. Збудуєш систему вимірювання прогресу до цілей напряму.
• Розвиток команди. Вибудуєш систему навчання і обміну знаннями всередині команди.

Про тебе

• 10+ років в IT-консалтингу чи аутсорсі. У менеджмент прийшов через продажі або маркетинг.
• Бачиш, куди рухається ринок з AI і готовий будувати процес під нього.
• Особисто масштабував команду чи напрям. Можеш назвати конкретні цифри та період цього результату.
• Керуєш через ціль. Задаєш напрямок і контролюєш результат, довіряючи команді самостійність у виконанні.
• Аналітичний склад мислення. Аналітика — база, на яку спираєшся в рішеннях.
• Вмієш і любиш навчати людей. Свідомо будуєш середовище, у якому команда розвивається.

Що ми пропонуємо

• Можливість створити нову модель з нуля. Ти формуєш підхід та напрямок, якого в Smplfy ще не було.
• Повна свобода в реалізації задуманого. Рішення про те, як саме будувати напрям за тобою. Ти ведеш його цілком.
• Готова рамка. На вході у тебе буде концепт бачення напрямку, описані послуги, сформовані маркетингові матеріали, ресурс для запуску та теплі ліди.
• Команда на старті. У твоєму розпорядженні рекрутер, sales-manager, CTO. Решту команди доформуємо під твоїм керівництвом.
• Гонорар. Фіксована база + квартальний бонус — частка від net revenue твого напрямку. Конкретні цифри обговорюємо на фінальній співбесіді.

Чого тут НЕ буде

• Готового процесу, у який ти просто приходиш. Процес будуєш сам — і в цьому виклик.
• Корпоративного бачення, бюрократичних процедур і політик, що гальмують.
• Роботи заради роботи.
• Узгоджень кожного кадрового рішення зі всіма стейкхолдерами.

Якщо впізнаєш себе у цьому тексті — надсилай CV.

Senior AI Business Analyst — smplfy 2.0

Те, що ще рік тому не вдалося б автоматизувати взагалі, тепер ми робимо за

тижні.

Привіт, ми — SMPLFY.

Smplfy працює на ринку 8 років, з 2018-го. За цей час ми закрили близько сотні проектів, від fashion до mil-tech, переважно веб і мобільні додатки. Резиденти Дія.Сіті. Зараз відкриваємо новий напрямок: автоматизацію бізнес-процесів на базі ШІ для невеликих і середніх компаній. Перші запити вже в роботі (зокрема, дистрибуторська компанія з оборотом понад 400 млн грн на рік). Шукаємо людину, яка стане першим виконавчим наймом цього напрямку і власною роботою задасть, як він далі виглядатиме.

Якщо ти втомився малювати процеси, які потім реалізують через рік, бачиш, як ШІ перепаковує BA-роботу, і вже не один раз вів замовника від першого знайомства до підписаного звіту, читай далі.

Що ми пропонуємо

Повний цикл співпраці з клієнтом.

Ти ведеш кожного замовника від першого рукостискання з власником до підписаного звіту.

ШІ як робочий стек.

Ми оплачуємо час і підписки на твій інструментарій. Ти експериментуєш, фіксуєш робочі знахідки, ділишся з командою, формуєш методологію smplfy для AI Process Automation.

Регулярний приплив запитів.

Команда продажів заводить ліди, реклама працює, перші запити вже в роботі.

Простір будувати.

Те, що ти вибудуєш у перші три місяці (методологія, шаблони, інструментарій), стане каркасом BA-практики на найближчі роки.

Карʼєрна перспектива.

Роль Lead BA з напрямку Process Automation. Прозорий механізм перегляду формату співпраці і ставки по факту досягнення цілей. Дат не фіксуємо.

Плюшки компанії-резидента Дія.Сіті.

Працевлаштування по ТКУ, бронювання, віддалений формат, відрядження в Україні і за кордон. Постійне навчання.

Курси від компанії + обрані тобою, з покриттям по моделі 50/50.

Що буде у полі твого зору перші 90 днів?

Запуск роботи з першими замовниками: вхід на майданчик, дискавері, формування вимог, передача в реалізацію.

Доведення перших циклів автоматизації до фінального звіту замовнику.

Побудова власного AI-інструментарію під свою повторювану роботу.

Формування перших ескізів методології smplfy для AI Process Automation.

Чого тут НЕ буде

Не буде ситуації «написав специфікацію, кинув розробникам, забув». Ти ведеш проект до фінішу і повертаєшся з результатом до власника бізнесу.

Не буде ілюзії, що заходиш у готовий процес. Процес BA-практики ти будуєш сам, з опорою на наш контекст і команду.

Не буде «AI-фасаду». Інструменти, які ми пропонуємо, реально працюють у наших проектах.

Не буде багатоступеневих узгоджень кожного твого рішення з трьома стейкхолдерами.

Не буде клієнта, якого треба переконувати, що ШІ це серйозно. Перші замовники вже самі шукають, що автоматизувати.