Jobs at Djinni

We’re looking for a brilliant Deep Learning & Computer Vision Engineer to join our Algorithms group.

What will you do?

• Be a researcher of the core deep learning algorithms and communicate with other researchers.
• Design and implement advanced algorithms to solve complex problems.
• Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Requirements

• At least 5 years’ experience as a researcher and development of deployed models.
• Strong understanding in deep-learning algorithms and computer vision.
• M.Sc. in computer science, or very experienced B.Sc Degrees Online 2025 - Best Course After 12th . or Engineering, or a related technical field.
• Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
• Good communication skills, self-motivated, proactive, flexible and passionate about learning.
• Focused on end-to-end delivery of solutions for real world scenario in challenging timeframe.

Join a team that's redefining banking technology!

Our client isn't a typical Swiss bank — it's a modern financial institution focused on delivering cutting-edge online trading and financial services. Unlike traditional banks weighed down by legacy systems, their tech stack is lean and innovative.

The team builds products that transform complex, fragmented risk data into clear, actionable insights, enabling smarter and faster decisions to reduce risk. We focus on core business areas such as account risk and work closely with key stakeholders - Risk department, Compliance department, and the Middle Office Fraud Center — to deliver impactful solutions.

You'll be part of a Scrum team of four, collaborating daily with stakeholders through stand-ups, status updates, and Agile ceremonies. We embrace best practices and modern communication tools: Zoom, Teams, Outlook, JIRA, Confluence, and more.

We continuously evolve our solutions to atomic microservices and self-contained systems, based on dockerized environments with CI and CD.

What we offer:
Professional Growth: access to local trainings, on-demand webinars, interactive workshops, and support for conferences and certifications.

Competitive Compensation: Regular annual reviews based on your performance and professional development.

Work-Life Balance & Fun: Team-building activities, corporate events, hackathons, and a variety of engaging initiatives.

If you're proactive, creative, and ready for new challenges, join us! Together, we'll enhance product quality and optimize processes while driving innovation.

Responsibilities

Overall responsibility for a team, its performance

Driving the Scrum processes, coaching the team, driving improvements

Contributing towards the technical direction of the products by being involved in technical design and delivery of components

Identifying potential risks and escalating to the manager and client

Communicating and interacting effectively with other Team Leads

Participation in meetings with the client (Stand Ups, Grooming, Planning, Demo, Retro, and other ad-hoc ones)

Requirements refinement, Sprint planning, and task estimation

Application development

Developing unit/integration tests, E2E, ensuring good development testing coverage

Lead a team of 3 developers

Participate in peer design and code reviews

Evaluate and adopt new development tools, libraries, and approaches to improve delivery quality

Skills

Must have

1+ year in Team Lead position [fresh experience during last 5 years]

At least 5+ years of proven experience in a Software Developer position

Java core, Java 11-17+ features

OOP/OOD knowledge, design patterns

HTML, CSS, JavaScript

Proven knowledge of ReactJS, Redux or Angular [2+ fresh years of proven experience]

Unit testing frameworks (JUnit, Mockito, etc.), experience of integration and E2E tests building

Spring framework, IOC

RESTfull services

Java-based application servers (e.g. Tomcat)

SQL knowledge, any RDBMS, Oracle/PostgreSQL is a plus

ORM, Hibernate in particular

CI tools experience (Jenkins)

Docker

Nice to have

Education: Bachelor's / Master's degree in computer science or computer engineering

Experience in finance/banking business domain

Unix usage experience

Kafka

Java 17+

WebSocket

TypeScript

We’re looking for a senior Project Recruiter to join us on a full-time, project-based contract and manage the end-to-end recruitment process for product and engineering roles.
 

What you’ll do

• Own the full recruitment lifecycle: sourcing → interviews → offers
• Proactively source and engage engineering and product candidates
• Conduct HR and initial screening interviews
• Coordinate interviews and hiring decisions with US-based stakeholders
• Manage recruitment operations: pipelines, scheduling, candidate communication
• Continuously improve hiring processes by bringing ideas and challenging assumptions

• Push hiring forward, unblock issues, and get things done
   

   

What we’re looking for

• Senior-level recruiting experience in product / tech companies
• Proven experience hiring engineers and product professionals
• Strong, hands-on understanding of US hiring and expectations
• Fluent English; confident running live calls with US teams and candidates
• Passionate about recruitment and genuinely driven to find the right people
• Relentless, proactive, and ownership-driven
• Fast learner, adaptable, and comfortable working independently
• Availability to work US-aligned hours (12:00–20:00 or 13:00–21:00 UA time)
•  

Compensation

• Base salary + pay per hire

   

Senior Mobile Developer

Description

We are on a mission to redefine consumer cybersecurity for the modern internet.

We operate at consumer scale, protecting millions of people every day across devices, accounts, and digital touchpoints. In a world where phishing, fraud, and AI-powered scams evolve overnight.

We move fast, think deeply, and build with purpose. Our culture is rooted in transparency, feedback, and collaboration along with shared wins, team dinners, company trips, and good times.

We’re a team of 100+ makers, doers, and boundary-breakers. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of online safety, you belong here.

We are looking for a Senior Mobile Developer to join our R&D department.

You will:

· Join a core team of experienced developers building production-grade services, data solutions, infrastructure and more.

· Own the design, architecture, quality, and measurability of complex product solutions.

· Collaborate with our technical leadership to deliver innovation and bring new ideas to life.

Nice! Am I the right fit?

Hard to tell. Our guess is you have a high chance of fitting in if you check as many of these as possible:

· 4+ years experience with React-Native in production.

· Deep knowledge of Javascript/Typescript and Python.

· Experience with developing high-quality customer-facing apps, with attention to performance & design.

· Smart, problem-solver, loves getting their hands dirty!

· Track record in bringing projects from "initial commit" to production.

· Working with Swift\ Kotlin - BONUS.

· Understanding of the web cyber-security landscape, vulnerabilities, and attack surfaces - BONUS.

· Knowledge of relational and NoSQL databases.

· BigQuery, MySQL, or Redis - BONUS

Talk nerdy to me.

Don't mind if we do. Our tech stack:

· React and React-Native using TypeScript.

· Python.

· GoogleCloud using K8S.

· MySQL + Redis + BigQuery.

· Thinking of a great addition? Let's do it.

Infomir is an international group of companies specialising in the production of industrial and consumer electronics. We develop and manufacture high-tech solutions for Internet TV, smart lighting, measuring equipment, and industrial 3D printing. With its main production facility in Ukraine and offices and distribution centres in the UAE, Germany, Switzerland, the USA, Romania, and Estonia, Infomir provides efficient logistics worldwide.

Behind the company’s success and ambitions is a strong team of professionals. Today, Infomir employs more than 300 people, and the company continues to scale up by attracting talented specialists and investing in the latest technologies.

We are currently looking for a Embedded С/С++ developer (Middle) whose main responsibilities will include: 

Responsibilities:

• Development of low-level and embedded software in C/C++ for microcontroller-based systems.
• Design and implementation of software architecture for embedded modules from scratch or as part of product improvement.
• Development of auxiliary software for production, testing, diagnostics, and internal tooling.
• Implementation and adaptation of communication protocols for embedded systems.
• Analysis of technical documentation, standards, and hardware specifications.

• Participation in system-level design of hardware-software solutions.Support and improvement of existing firmware and tools.

   

Requirements:

• Strong knowledge of C/C++ with a focus on embedded and low-level development.
• Practical experience in firmware development for embedded systems.
• Experience working with different microcontrollers (e.g. STM32 or similar).
• Ability to analyze requirements and design technical solutions, not just implement predefined tasks.
• Experience with communication protocols (Bluetooth, LoRaWAN, NB-IoT, or similar).

• Experience in network and multithreaded programming.

   

Nice to have:

• Experience with CMake, Ninja.
• Background in R&D environments or product development from early stages.

• Experience working with custom hardware or prototypes.

   

We offer:

• Work in an internationally growing company.
• A comfortable office in Odessa, equipped with a shelter.
• Official employment with stable pay and all the guarantees of a Dija.City resident.
• Hybrid work schedule.
• English language courses.
• Professional team.

• Training in the corporate table tennis team.

   

If you meet these criteria and would like to join our team, please send us your CV.

Essential Expertise:

• At least 3 years of experience managing affiliate programs as a manager or team lead
• Experience in OTA, airline sales, or travel-related industries is highly preferred
• Strong understanding of performance marketing, CPA models, and attribution principles
• Hands-on experience with affiliate platforms (CJ, FlexOffers are a strong plus)
• Solid analytical mindset with the ability to interpret performance data and draw actionable conclusions (report creation is not required)
• Confident conversational English for daily communication with international partners
• Strong negotiation skills with the ability to maximize partner performance and build win-win relationships

• Knowledge of compliance standards, brand safety, and affiliate best practices
   

   

Key Contributions:

• Grow affiliate channel profitability with a clear focus on profit, qualified leads, and new connected affiliates as core KPIs
• Recruit, onboard, and activate new high-quality affiliate partners aligned with company goals
• Optimize partner performance through continuous testing, negotiation, and relationship management
• Build long-term, trust-based relationships with key strategic affiliates
• Provide clear performance insights and recommendations to leadership based on data analysis
• Collaborate with marketing and product teams to align affiliate initiatives with overall business strategy

• Participate in international industry exhibitions and conferences 2–4 times per year (all business trips are fully covered)
   

   

Distinctive Advantages:

• Opportunity to grow into a Head of Affiliate / Lead role within 9–12 months based on performance
• Work on travel and aviation-related products with strong international exposure
• Stable position with competitive salary and full benefits package
• Paid business trips to major affiliate and travel industry events
• Professional growth through hands-on experience with large-scale partner networks
• Supportive team environment focused on long-term collaboration and results

📍 Ukraine (Kyiv / Lviv / Remote)
⚠️ We consider candidates located in Ukraine only

We are looking for a Senior Data Scientist who enjoys solving complex ML problems, working with large datasets, and delivering models that directly impact real business metrics.

This is not a research-only role. Your models will go to production and influence real decisions.

What you will do

• Build and deploy supervised and reinforcement learning models
• Optimize ad targeting and campaign effectiveness
• Perform deep data analysis and feature engineering
• Apply optimization algorithms (linear / non-linear / combinatorial)
• Improve accuracy, scalability, and performance of existing models
• Work closely with engineering to integrate models into production
• Monitor and troubleshoot deployed solutions
• Communicate insights to product and business teams
• Mentor junior data scientists

Requirements

• 5+ years of experience in Data Science / Machine Learning
• Strong experience with supervised learning
• Hands-on reinforcement learning experience
• Solid understanding of optimization techniques
• Python
• SQL and relational databases
• scikit-learn / TensorFlow / PyTorch
• pandas / NumPy
• Production mindset and ownership

Nice to have

• OpenAI Gym or other RL frameworks
• AWS
• MLOps practices (Docker, CI/CD, versioning, Kubernetes)
• Experience with large-scale production systems

Soft skills

• Strong analytical thinking
• Clear communication
• Ability to work independently
• Prioritization in fast-paced environments
• Mentorship experience

 

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Proxy-Seller is a proxy infrastructure company transitioning to Enterprise. We serve hundreds of thousands of users and are building dedicated B2B content for technical and business audiences.

We're looking for a Senior Content Manager to lead B2B content creation. You'll write for data engineers, DevOps, security teams, and C-level decision-makers — translating complex proxy infrastructure into clear, compelling content. This is a senior IC role with a clear path to Head of Content.

The Role

• Focus: B2B content for Enterprise sales and thought leadership
• Audiences: Technical (engineers, DevOps) + Business (VP Data, CTO, Procurement)
• Formats: case studies, whitepapers, technical guides, comparison articles, landing pages
• Team: work with SEO team (4 people), PMM, freelance writers
• Growth path: Senior Content Manager → Head of Content as team scales
• Reports to: CMO

Requirements

• 4+ years content marketing in B2B tech/SaaS
• Excellent written English — C1+ / near-native (primary content for US/EU audiences)
• Proven ability to write for both technical audiences (engineers) and business leaders (VP, C-level)
• Portfolio with B2B tech content: case studies, whitepapers, technical guides
• Experience managing freelance writers (briefing, feedback, quality control)
• Data-driven: analyze performance, optimize based on metrics
• Strategic thinking — not just execution, but content strategy development
• Comfortable with AI tools for research, drafting, optimization
• Self-starter — can work independently with minimal supervision

Nice to Have

• Experience in proxy/data infrastructure/API/scraping/cybersecurity
• Technical background or ability to quickly grasp technical concepts
• Experience creating content for Enterprise sales cycles (long-form, multi-stakeholder)
• Video scripts, webinar content, podcast experience
• Basic design skills (Figma, Canva) for content visualization

Responsibilities

• Create B2B content: case studies, whitepapers, solution briefs, technical blog posts, landing pages
• Write for dual audiences: technical depth for engineers, business value for decision-makers
• Develop and manage editorial calendar aligned with marketing and sales priorities
• Conduct customer interviews for case studies and testimonials
• Collaborate with PMM on sales enablement materials
• Work with SEO team on content optimization and keyword strategy
• Manage freelance writers: briefing, editing, quality control
• Repurpose content across channels and formats

What We Offer

• Full-time remote, flexible schedule
• Clear growth path: Senior Content Manager → Head of Content
• Shape B2B content strategy from the ground up
• Direct impact on pipeline and revenue
• Education budget (courses, certifications, corporate English)
• PTO: 14 vacation days + 5 days off + 7 sick days + public holidays
• Equipment provided after probation

*We usually review applications within 3−5 business days
We share feedback if we’re able to move forward together. If this role isn’t the right match for now, we’ll keep your resume in our database and gladly reach out when a suitable opportunity comes up

If you like continuous growth and complicated challenges then Proxy-Seller is the way to go! Looking forward to your application

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
We are working with a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a Senior Data Engineer (Azure) to design and maintain data pipelines and systems for analytics and AI-driven applications. You will work on building reliable ETL/ELT workflows and ensuring data integrity across the organization.

Required skills:
- 6+ years of experience as a Data Engineer, preferably in Azure environments.
- Proficiency in Python, SQL, NoSQL, and Cypher for data manipulation and querying.
- Hands-on experience with Airflow and Azure Data Services for pipeline orchestration.
- Strong understanding of data modeling, ETL/ELT workflows, and data warehousing concepts.
- Experience in implementing DataOps practices for pipeline automation and monitoring.
- Knowledge of data governance, data security, and metadata management principles.
- Ability to work collaboratively with data science and analytics teams.
- Excellent problem-solving and communication skills.

Responsibilities:
- Transform data into formats suitable for analysis by developing and maintaining processes for data transformation;
- Structuring, metadata management, and workload management.
- Design, implement, and maintain scalable data pipelines on Azure.
- Develop and optimize ETL/ELT processes for various data sources.
- Collaborate with data scientists and analysts to ensure data readiness.
- Monitor and improve data quality, performance, and governance.

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

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Nice to have:
- Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
- Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
- CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
- Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
- Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimizing existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve the workflows.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

Summary

Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years of experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on.

The role

This is a hands-on implementation engineering position. You'll work on deploying, configuring, and integrating the platform for enterprise clients, translating their requirements into working solutions, deployed at clients' infrastructures. The role sits between product engineering and customer success: technically deep, but with awareness of real-world client needs.

You'll collaborate closely with platform engineers and business teams, occasionally joining business discussions to clarify technical requirements or explain implementation details.

What you'll work on

• Implementing and configuring platform deployments for enterprise customers
• Building integrations between the platform and client systems
• Working with internal teams to understand client requirements and translate them into technical solutions
• Contributing to implementation tooling, documentation, and repeatable deployment processes
• Troubleshooting and resolving issues during and after deployment
• Occasionally participating in client calls to gather requirements or provide technical guidance

What we're looking for

• Strong proficiency in Node.js and TypeScript
• Experience with React and frontend integration
• PostgreSQL/similar RDBMS and general data modeling knowledge
• Familiarity with cloud platforms (AWS, Azure, or GCP), multi-cloud exposure is valuable
• Clear communication skills, - comfortable explaining technical concepts to non-technical stakeholders
• Ability to work independently and manage multiple implementation workstreams
• 5+ years of software engineering experience

Useful additions / nice to haves

• Experience with AI platforms or AI/LLM integration
• Familiarity with CI/CD pipelines and infrastructure-as-code
• Vue.js experience
• Background in enterprise software implementation or professional services
• Previous work in similar roles

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is involved in a large-scale Data Transformation project, with a focus on solidifying the foundation of their data operations. They are aiming to ensure that data is accurate, consistent, and available at critical times to support their business needs. 

Responsibilities:

• Design and execute test strategies for real-time streaming workflows (Structured Streaming, Azure Event Hub, Topics & Queues).
• Validate data products transitioning from monolithic to microservices architecture.
• Perform API testing for data services and orchestration layers.
• Implement observability checks using Prometheus & Grafana for monitoring pipeline health and performance.
• Collaborate with DevOps teams to ensure Kubernetes-based deployments meet quality standards.
• Conduct functional, integration, and performance testing for Azure Functions and orchestration workflows.
• Ensure compliance with data governance and SLA optimization initiatives.

• Document test cases, results, and maintain traceability in tools like Jira/Confluence.

   

Requirements:

• QA experience in data engineering or real-time data platforms.
• Strong knowledge of streaming technologies (Structured Streaming, Kafka, Azure Event Hub).
• Hands-on experience with API testing (Postman, REST Assured).
• Familiarity with Kubernetes deployments and observability tools (Prometheus, Grafana).
• Proficiency in SQL and basic scripting (Python).
• Experience with Cloud services.

• Knowledge of orchestration frameworks (AirFlow preferably) and CI/CD pipelines.

   

Nice-to-Have Skills:

• Exposure to Iceberg and ClickHouse.
• Understanding of Kappa Architecture and Data Mesh principles.
• Experience with data product testing in microservices environments.

• Familiarity with BI tools (Power BI, Qlik).

   

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

Product Lead / Product Owner

Scope is an ecosystem of products for traders, combining journaling, analytics, and performance tools for Crypto & Forex markets.

(Competitors: TradeZilla, TradeTeam)

We are looking for a Product Lead / Senior Product Owner who will take full ownership of the product, drive product vision, and lead cross-functional teams to build a data-driven product used by a global audience.

Responsibilities

1. Product Ownership & Strategy

- Own and evolve the product vision and long-term strategy together with founders

- Turn user problems, data, and insights into clear product initiatives

- Build, maintain, and own product roadmap and priorities

2. Leadership & Execution

- Lead and coordinate product work across design, engineering, and marketing

- Own backlog, scope, and product releases

- Make product decisions and take responsibility for results, not just delivery

3. Growth & Metrics

- Own core product metrics: activation, retention, engagement

- Improve onboarding flows and core product loops

- Identify and validate monetization opportunities (subscriptions, ecosystem mechanics)

Requirements

- 4+ years of experience as Product Manager / Product Owner / Product Lead

- Proven experience working with global digital products

- Strong product thinking: ability to generate ideas, not only execute tasks

- Confident use of product analytics and metrics for decision-making

- Experience leading cross-functional teams (design, engineering, marketing)

- Fluent English (working with international teams and users)

Big Plus

- Knowledge of Crypto, Forex, or trading workflows

- Experience with trading, journaling, or analytics products

- Subscription-based monetization experience

What matters to us

- Ownership over outcomes, not tasks

- Ability to lead, influence, and make decisions

- Comfort working with a product that is still evolving and growing

This is not a role for someone executing ready-made specs. We are looking for a product thinker who owns ideas, decisions, and outcomes.

Summary

Senior Backend Engineer, Node.js, Postgres. Remote role building core platform systems for an enterprise AI product. 5+ years experience required.

About the company

Our client builds an AI platform that enables enterprises to customize and deploy AI capabilities for their specific needs. The platform team is central to this work, responsible for infrastructure, shared components, and internal tooling that the rest of engineering depends on. The team works closely with product and applied AI engineers, with short feedback loops and genuine technical ownership.

The role

This is a backend-focused engineering position working on core platform systems. You'll design and build the foundational services that AI-native products run on — dealing with architecture decisions, performance problems, data modeling, and system reliability.

The work is technically demanding. When something difficult or critical needs to be solved properly, this role is expected to lead that effort.

What you'll work on

• Designing and implementing backend services and system components end-to-end
• Building infrastructure that supports fast iteration without sacrificing reliability
• Investigating and resolving complex issues across performance, data, and APIs
• Collaborating with platform, AI, and product teams to deliver systems that are observable and maintainable
• Improving developer experience through better tooling, clearer standards, and thoughtful architecture

What we're looking for

• 5+ years of software engineering experience with JavaScript tech stack, with clear ownership of complex backend systems
• Strong Node.js proficiency- clean, well-structured backend code matters here
• Solid understanding of relational databases (PostgreSQL) and data modeling
• Good debugging instincts and sound engineering judgement
• Ability to learn new domains quickly and work independently

Useful additions

• Experience with distributed systems, caching layers, message queues, or multi-tenant architectures
• Background in AI/LLM integration on the backend
• Familiarity with AI development platforms or coding assistants
• Previous work on enterprise platforms or AI infrastructure
• Platform/infrastructure experience: observability, CI/CD, API design