Jobs Ivano-Frankivsk

N-iX is looking for a BI Engineer to join one of the biggest and strongest Data Units in Ukraine.

Our client is a US-based company that provides In-flight Internet and entertainment services to aircraft across the globe, serving commercial aircrafts. At this moment we cooperate on Business Intelligence, Data Analysis  and BigData directions and look for talents who can contribute to the complex data management and analysis projects.

Requirements:

• Proven hands-on experience with Tableau, including Tableau Desktop and Tableau Server
• Proven experience migrating BI reports and dashboards from Tableau to Power BI
• Hands-on experience with Power BI, including report and dashboard development
• Strong knowledge of SQL
• Experience with DAX and Power Query
• Knowledge of SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS) and Paginated Reports
• Experience with Airflow
• Basic knowledge of Python
• Upper-intermediate English or higher

Responsibilities:

• Migrate existing BI reports and dashboards from Tableau to Power BI, ensuring that business logic, calculations, and reporting requirements are preserved.
• Analyze existing Tableau dashboards, reports, data sources, and business logic and translate them into Power BI solutions.
• Design, develop, and optimize Power BI reports and dashboards based on existing Tableau solutions and business requirements.
• Validate migrated reports against the original Tableau versions to ensure data accuracy, consistency, and functional parity.
• Convert business and information needs into effective, user-friendly reports and dashboards.
• Identify gaps, inconsistencies, and technical challenges during the migration process and propose appropriate solutions.
• Implement and optimize BI solutions to support reporting and analytical needs.
• Ensure the quality, accuracy, and performance of migrated and newly developed reports.

Nice to have:

• Experience with Snowflake, Databricks
• AI usage for Power BI report development and/or migration of reports between different BI Tools 

Project technology stack

The project currently utilizes a modern BI ecosystem centered around Tableau, SSRS, and Kibana for reporting and dashboarding, with data sourced from Snowflake. Data transformations are handled through DBT, while orchestration is supported via Airflow. As part of the BI modernization initiative, existing Tableau reporting solutions are being migrated to Power BI.

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

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

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

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

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

We are looking for a Senior Backend Software Engineer to join the B2B Portals Team working with Raisin, a fintech company operating a digital savings and investment marketplace.

You will contribute to partner-facing platforms that allow banks, brokers, and financial advisors to offer Raisin deposit products to their customers. The team owns the full development lifecycle - from solution design and implementation to deployment and production support.

Responsibilities:

• Develop and maintain backend services using Java and Spring Boot;
• Deliver features from technical design to production rollout;
• Build APIs and integrations for banks and other B2B partners;
• Write unit, integration, and contract tests;
• Investigate production issues using logs, metrics, and traces;
• Conduct code reviews and contribute to engineering standards;
• Improve service performance, security, and reliability;
• Participate in the team’s on-call rotation;
• Mentor engineers and support knowledge sharing;
• Promote the effective and safe use of AI-assisted development tools;
• Collaborate with distributed teams and stakeholders across Europe and the US.

Requirements:

• 5+ years of commercial Java development experience;
• Strong knowledge of Java, Spring Boot, and Spring Data;
• Experience with AWS and cloud-based applications;
• Experience with REST APIs, distributed systems, and service integrations;
• Knowledge of relational databases, preferably MySQL;
• Experience with asynchronous messaging, particularly Amazon SQS;
• Strong testing skills with JUnit and Testcontainers;
• Experience with CI/CD, Docker, and Kubernetes;
• Ability to independently own and deliver backend features;
• Experience debugging production systems;
• Mentoring and code review experience;
• Fluent English.

Nice to have:

• Experience with fintech or banking integrations;
• Knowledge of Pact contract testing;
• Experience with Apache Kafka or Amazon MSK;
• Experience with event-driven systems;
• Experience with OpenTelemetry, Datadog, or Splunk;
• Familiarity with GitLab CI/CD, Harness, Amazon EKS, or Airflow;
• Experience with multi-tenant B2B platforms;
• Practical experience with AI-assisted development tools.

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

About the Client:

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

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

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

Job Description

• 5+ years of relevant software development experience, 1+ on a technical lead position.
• 3+ years of experience in Python
• 3+ years of hands-on experience with automation systems
• 1+ years of experience in some web framework (Fast API + React)
• Database development (MySQL, PostgreSQL, SQLAlchemy, Alembic, etc)
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven track record in leading and mentoring software development teams.
• Excellent problem-solving and debugging skills, with a focus on delivering efficient and effective solutions.
• Exceptional communication and collaboration skills, with the ability to work effectively with stakeholders, team members, and cross-functional teams.
• Project management skills, including the ability to set realistic timelines, manage resources, and prioritize tasks.
• Quality-focused mindset, with a commitment to delivering high-quality software through adherence to coding standards and testing practices.
• Adaptability and willingness to learn, keeping up-to-date with new technologies and industry advancements.
• Strong understanding of software engineering principles and data architecture.

Not limited to other tools experience, but we require desire and ability to learn new tools:

• CI/CD pipelines on both GitLab and Jenkins
• Observability (Grafana, Prometheus, Otel, etc)
• Automation Framework (pytest/unittest, playwright/cypress/selenium)
• Server administration (Linux, SSH, Docker, Kubernetes, etc)
• Cloud services (AWS, GCP, Azure)
• AI tooling in day-to-day work to boost self-productivity (IDE assistants)
• AI tools implementation, integration into existing services to boost user's productivity (Embedding, Vector Database, LangChain, etc)

Job Responsibilities

• Build innovative features for next generation tracking solution
• Determine the strategic tactical direction of the front-end architecture
• Participate in development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with program managers, marketing, designers, software engineers in tests to build and enhance the UI
  Innovate and create the best user experience online

Department/Project Description

Our Client is the leader of the US Broadcasting Market and one of the biggest companies on that is providing Broadcasting Media Entertainment to users on OTT.

Do you want to participate in interesting and diverse projects, work on the latest equipment using advanced technologies, and participate in the creation of unique devices that will come to life before your eyes? Then welcome to Ektos! 

Working Experience Requirements:

• Min 2 years of active project management and/or 3 finished COMMERCIAL projects of the man-efforts size not less than 2000 mh

• Was a project delivery responsible person at least in 1 COMMERCIAL project (first in line in the project delivery process)

The Required Primary List of Hard Skills for the Project Manager Position:

• Master’s or Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Mathematics).

• Strong analytical and abstract thinking skills, with the ability to decompose complex topics, group related elements, and navigate between technical and business perspectives.

• Ability to plan and scope delivery increments, ensuring completeness and alignment with product value expectations.

• Knowing and understanding SDLC (Software Development Life-Cycle);

• Knowledge and experience in project cost management;

• Knowledge and experience in project schedule management;

• Knowledge of quality management and cost of quality principles in the projects;

• Knowledge in the bug management process. Experienced in bug-tracking and task management systems (Redmine, JIRA, and so on);

• B2 (CEFR) or Upper-Intermediate+ level of spoken and written English.

A Required Secondary List of Skills:

• Experience with radio jammers, whether through basic familiarity with the domain or direct project leadership, is considered a plus;

• Understanding HDLC (Hardware Development Life-Cycle);

• Internationally recognized certification in project management;

• Experience as a business analyst;

OR

• Experience as an electronic engineer;

OR

• Experience as a software developer;

OR

• Experience as a quality assurance/control engineer;

• Knowledge of major features of version control systems (check-out, check-in, merging, branching, versions). Experience in version system controls (Git, SVN, SourceSafe, ClearCase, and so on);

Required General Skills:

• Strong leadership skills, practitioner of various leadership styles;

• Is a team member and is committed to the project goals. Ability to establish team collaboration and facilitate communication among team members;

• Strong interpersonal and conflict resolution skills. Ability to help the team to timely resolve disagreements that arise during the project;

• Ability to prioritize tasks, work under stress and uncertainty;

• Open-minded person and positive thinker;

• High level of responsibility and quality sense;

• Passion to solve complex tasks;

• Desire understand the product being developed;

• Desire to learn the new.

About us and what we can offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Comprehensive lunches right in the office;
• Children's room for employees' children;
• Competitive salary;
• Experienced colleagues who are ready to share knowledge;
• Regular salary reviews;
• Free English lessons (we have a wonderful English teacher);
• Friendly atmosphere, care for the comfort of specialists;
• Corporate events;
• Medical insurance;
• The office has a kitchen, shower, and recreation area;
• Very beautiful view from the workplace.

Do you want to take part in interesting and diverse projects, work with the latest equipment, using advanced technologies, participate in the creation of unique devices that will be born right before your eyes? Then welcome to Ektos! We are looking for developers in our office located in Ivano-Frankivsk.

Who are we?

A Danish company that has been successfully operating since 2007 and is one of the leaders in the Embedded direction. And you can become one of us!

Key Responsibilities

• Define hardware architectures and detailed system specifications for analogue, digital, and mixed-signal circuits.
• Produce high-quality documentation that clearly describes and justifies hardware design choices in accordance with EKTOS quality procedures
• Perform electrical and thermal design calculations, simulations, and analyses.
• Design and validate power electronics, including AC/DC and DC/DC converters, battery charging systems, and battery-powered electronics.
• Conduct battery life estimation and energy consumption optimization for portable and low-power designs.
• Design and integrate RF circuits and antenna systems, including matching networks and 3rd-party antenna integration.
• Perform multilayer PCB layout, including HDI, flex, and flex-rigid board designs.
• Design high-speed PCB interfaces with a strong understanding of signal integrity validation.
• Apply EMC design principles, perform pre-compliance testing, and conduct EMC troubleshooting.
• Perform hardware bring-up, verification, and validation.
• Support the transition from prototype to mass production, including technical interaction with manufacturing.

Technical Competencies

• Advanced proficiency in analogue, digital, and mixed-signal electronics design, supported by strong analytical and simulation capabilities.
• Skilled in performing circuit- and temperature-level simulations and using industry-standard tools such as LTspice, PSpice, and Micro-Cap.
• A solid foundation in power electronics is essential, including experience with AC/DC and DC/DC converters, battery management systems, and battery-powered product design.
• Practical knowledge in RF design, encompassing antenna matching and  layout optimization for RF SoC and module-based systems (Wi-Fi, BLE, LoRa, GSM, LTE, NB-IoT, etc.).
• Proficiency in multilayer PCB design, including HDI, flex, and flex-rigid boards, is required, along with experience in creating production-ready PCB documentation.
• A comprehensive understanding of high-speed design principles—covering USB, Ethernet, DDR2/3, and HDMI interfaces—and of signal integrity and power integrity validation methods is expected.
• An in-depth understanding of EMC fundamentals, filtering, and shielding strategies, combined with hands-on experience in EMC pre-compliance testing and debugging, is essential.
• Proficient in the practical use of standard laboratory equipment such as oscilloscopes, logic analyzers, multimeters, signal generators, and spectrum analyzers.
• Strong prototype debugging, troubleshooting and repair skills.

General & Leadership Skills

• Experience in mentoring junior engineers.
• Ability to manage technical handovers, address customer issues, and support field troubleshooting.
• Skilled in task decomposition, time estimation, and proactive project communication.
• Upper-Intermediate or higher English proficiency (written and spoken).
• Proactive, self-correcting, and committed to continuous technical improvement through collaboration and hands-on experience.

Qualifications

• M.Sc. or B.Sc. in Electronics Engineering, Electrical Engineering, or related discipline.
• 7+ years of proven experience in hardware development.
• Expertise in full hardware development cycles from concept to production release.
• Familiarity with CE, FCC, EMC, and electrical safety certification standards.

About us and what we can offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Complex lunches right in the office;
• Free English classes twice a week;
• Children's room with a teacher for children of company employees;
• Experienced colleagues willing to share knowledge;
• Regular performance and salary negotiations;
• Professional growth: variety of projects and technologies, mentoring;
• Corporate health insurance;
• Friendly atmosphere, concern for the comfort of specialists;
• Working trips to Denmark to exchange experience with colleagues (discussed individually);
• Ability to work in different projects, one or more at the same time;
• Easy rotation between projects;
• The office has a kitchen, shower, seating area;

ONLY 1−2 interviews (online and/or office)

EKTOS is a dynamically developing company that works with many different clients from all over the world in such areas as healthcare, finance, transport, agriculture, navigation, travel, banking, and many others.

We develop in C / C ++ for various microcontrollers and processors with and without an operating system and create ready-made working prototypes of devices with our departments.

Working at EKTOS will allow you to see projects from both hardware and software sides and get a high level of skill. We care about creating an informal, safe, and open environment in our offices and we offer a competitive salary.

We are looking for a Lead DevOps / Observability Engineer to lead the migration of the client's observability stack from New Relic and Datadog to Grafana, using technologies such as Prometheus, Loki, and Tempo.

This is a hands-on role combining:
- DevOps & platform engineering - deploying and configuring the new observability stack using AWS, Kubernetes, and Terraform.
- Application instrumentation - modifying application code to add or adapt metrics, logs, and traces.
- Migration & collaboration - rebuilding existing dashboards and alerts in Grafana and working with multiple engineering teams to ensure full monitoring coverage.

We are looking for someone who is comfortable working across both infrastructure and application code and can independently drive a cross-team observability migration.

Responsibilities:

• Lead the migration of monitoring, alerting, and dashboards from New Relic and Datadog to Grafana.
• Design and implement the target observability architecture (metrics, logs, traces) and the infrastructure-as-code (Terraform) needed to support it.
• Audit existing New Relic and Datadog dashboards, alerts, and integrations to build a complete migration inventory and ensure feature/coverage parity in Grafana.
• Make application-level code changes across services to add, adjust, or replace instrumentation (metrics exporters, logging, tracing libraries) as needed for the new stack.
• Work with AWS infrastructure, including EKS, Kubernetes, and Docker, to deploy and operate the new observability tooling.
• Configure AWS networking and access as needed to support the observability platform (VPCs, security groups, IAM).
• Contribute to CI/CD pipelines and deployment automation using GitHub Actions to support the rollout.
• Collaborate with development, platform, and infrastructure teams to coordinate the cutover from New Relic/Datadog to Grafana with minimal disruption.
• Identify and remediate any security issues (secrets, keys, dependencies) encountered in the course of this work.
• Document the new observability architecture, migration procedures, and dashboard/alert mappings.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed.

Requirements: 

• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration (e.g. Prometheus, Loki, Tempo, or similar).
• Practical experience migrating away from commercial observability platforms such as New Relic and/or Datadog.
• Full-stack development experience — comfortable reading, modifying, and instrumenting application code across front-end and back-end services, not just infrastructure.
• Solid experience with AWS in production environments, including EKS and Kubernetes.
• Practical experience with Docker and containerized workloads.
• Strong Terraform and infrastructure-as-code skills.
• Experience with GitHub Actions or comparable CI/CD tools.
• Ability to work across multiple teams, services, and codebases to coordinate a cross-cutting migration.
• Fluency with Codex or comparable AI-assisted coding tools.

Nica to have:

• Prior experience running a similar New Relic/Datadog-to-Grafana (or equivalent) observability migration end to end.
• Grafana-specific certifications or demonstrated community contributions (plugins, dashboards, etc.).
• Experience with the broader Prometheus/Loki/Tempo (LGTM) ecosystem.
• AWS certification, such as AWS Solutions Architect Associate/Professional.
• Experience with RDS and other AWS data services.
• Prior contract or consulting experience with clearly defined deliverables.
• At least an Upper-Intermediate level of English 

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

Position overview

We're looking for an expert Windows Kernel Driver Engineer to join our team and help build and enhance the core technology behind Windows cybersecurity agents. In this role, you'll design and implement low-level Windows components, focusing on Windows kernel drivers, that power and support advanced threat detection and response capabilities. You'll work closely with security researchers, sensor developers, and platform engineers to ensure agents are stable, stealthy, and performant across all supported environments.

This role requires candidates who are currently and actively working on Windows kernel driver development and have been doing so for at least the last 2 years, utilizing C++ as their main language. Deep expertise in and knowledge of Windows OS internals are a must. KMDF (Kernel-Mode Driver Framework) experience is also required.

Responsibilities

• Build Windows kernel-mode drivers and user-mode services that collect, filter, and analyze endpoint telemetry.
• Design and develop low-level components for the Windows endpoint sensor, focusing on stability, performance, and stealth.
• Implement robust techniques for process/thread monitoring, registry tracking, file system interception, and network event visibility.
• Debug complex kernel-mode and user-mode issues across multiple Windows versions.
• Collaborate with researchers and product teams to translate threat intelligence into product features.
• Conduct code reviews, mentor engineers, and contribute to architectural decisions.
• Stay current with Windows internals, security trends, and system programming best practices.

Requirements

• Recent, hands-on experience developing Windows kernel drivers (for at least the last 2 years) using KMDF, Windows Filtering Platform (WFP), minifilters, and ETW.
• 7+ years of hands-on experience in C++ development (C++11 or later).
• In-depth understanding of Windows internals, including kernel architecture, system calls, memory management, and drivers.
• Strong debugging and reverse engineering skills using tools such as WinDbg, Process Monitor, Process Explorer, IDA, or Ghidra.
• Familiarity with Windows security mechanisms, including integrity levels, UAC, AppLocker, and Secure Boot.
• Experience using Visual Studio, Windows Driver Kit (WDK), and related development environments.

Nice to have

• Experience developing with Rust.
• Experience building or contributing to endpoint security products (EDR, AV, EPP, etc.).
• Familiarity with Windows telemetry, Event Logs, Sysmon, and ETW tracing.
• Experience with malware analysis, Windows exploitation techniques, or SOC/DFIR workflows.
• Experience in the cybersecurity domain is a plus.
• Scripting skills in PowerShell or Python for automation and testing.
• Understanding of kernel-mode security evasion techniques and defensive mechanisms.
• Experience with code signing, driver deployment, and secure update mechanisms.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

🔹Who we are!

At Levi9, we are passionate about what we do. We love our work and together in a team, we are smarter and stronger. We are looking for skilled team players who make change happen. Are you one of these players?

🔹About the project

You will join a dynamic, cross-functional AI team building AI prototypes, from classic ML to advanced LLM applications such as Text-to-SQL and complex RAG systems. Our goal is to engage our customers with advanced AI solutions.

🔹Responsibilities

• Design and deploy predictive ML models (e.g., decision trees, random forests, gradient boosting) for analytics and feature engineering.
• Develop recommendation systems using collaborative and content-based filtering techniques.
• Build and enhance RAG systems, including embedding pipelines, managing vector databases, and integrating LLMs.
• Implement text-to-SQL capabilities, allowing users to query relational databases naturally using LangChain or similar technologies.
• Work alongside data engineers to ensure robust data pipelines and high-quality datasets for training and inference.
• Collaborate with Product Owners and UX Designers to align AI features with user needs and business goals.
• Continuously research, test, and apply cutting-edge algorithms and technologies to boost model performance and scalability.
• Monitor and improve production models, ensuring reliability, performance, and compliance with ethical standards.
   

🔹Requirements

• Experience: 4+ years in AI/ML, specifically building and deploying production-level ML models.
• Classic ML: Solid skills with decision trees, random forests, and gradient boosting methods (scikit-learn, XGBoost).
• Recommender Systems: Proven experience in collaborative and content-based recommendation algorithms.
• RAG & LLM Development: Hands-on expertise with retrieval-augmented generation systems, vector databases (Pinecone, Weaviate), and frameworks like LangChain or LlamaIndex.
• Text-to-SQL: Experience developing natural-language-to-SQL solutions using frameworks like LangChain.
• Programming & Data: Advanced Python proficiency, strong SQL skills, and familiarity with Pandas and NumPy.
• Cloud & MLOps: Knowledge of deploying models on AWS, Azure, or GCP, and familiarity with CI/CD and MLOps tools (MLflow, Kubeflow).
• Communication: Comfortable in Agile teams with excellent English communication skills.

🔹Will be a plus

• Experience with Docker and Kubernetes.
• Familiarity with advanced embedding techniques and optimizing similarity searches.
• Background in deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of ethical AI practices and data privacy standards.

🔹 Our customer's stack
Core — Python 3.13, LangGraph and LangChain for agent orchestration, AWS Bedrock for inference, retrieval, and runtime (AgentCore, Knowledge Bases, Guardrails), Pydantic for schema enforcement, CloudFormation for infrastructure.
Quality — pytest across unit, integration, and e2e tiers with a coverage gate, ruff, mypy and pyright, promptfoo for prompt and output evaluation. We hold agent code to the same bar as any other production system.

🔹9 reasons to join us:

1. Today we're working with the technology of tomorrow.
2. We don't wait for a change. We are the change.
3. We're experts in creating experts (Levi9 academy, Lead9 program for leaders).
4. No micromanagement. We are free birds with a clear understanding of what high performance is!
5. Learning in Levi9 never stops (unlimited Udemy for business, meetups, English courses, Professional trainings).
6. Here you can train your body and mind.
7. We've gathered the best locations - comfortable, cozy and pet-friendly offices in Kyiv (5 minutes from Olimpiyska subway station) and Lviv (5 minutes from the Opera Theatre) with regular offline internal events
8. We have master's degree in work-life balance.
9. We are actively supporting Ukraine with constant donations and volunteering
    

🔹Simple steps to get this job

Click the APPLY NOW button and leave your contacts!

Project overview

The project focuses on building a modern observability platform for AI driven applications and autonomous agent ecosystems. The solution provides comprehensive tracing, metrics collection, logging, and monitoring capabilities across cloud based services, enabling reliable operations, performance analysis, and operational insights.

Position overview

We are looking for a Senior Observability Engineer with strong experience in OpenTelemetry, AWS observability services, and Python based instrumentation. You will design and implement observability solutions for AI powered applications and agent based systems, ensuring end to end visibility, monitoring, tracing, and telemetry collection across distributed environments.

Team

You will work with observability engineers, software engineers, AI engineers, cloud specialists, and platform architects. The team collaborates closely on designing scalable telemetry solutions, defining observability standards, and supporting production grade AI and cloud workloads.

Technology stack

Python, OpenTelemetry, AWS Distro for OpenTelemetry (ADOT), AWS CloudWatch, AWS X Ray, AWS AgentCore Observability, LangChain, W3C Trace Context, W3C Baggage Propagation, YAML, Git, CI/CD, Cloud Infrastructure
 

Responsibilities

• Develop and maintain observability solutions for cloud native and AI powered applications
• Implement OpenTelemetry instrumentation for Python services and distributed systems
• Design telemetry pipelines using AWS Distro for OpenTelemetry
• Configure and optimize metrics, logs, and tracing integrations with AWS CloudWatch and AWS X Ray
• Implement distributed tracing using W3C Trace Context and Baggage propagation standards
• Integrate and monitor LangChain based workflows and AI application components
• Design structured logging standards and telemetry data models
• Collaborate with engineering teams to define observability requirements and establish monitoring best practices
• Support performance analysis, troubleshooting, and incident investigation activities
• Contribute to the evolution of observability architecture for agent based systems and AI workloads

Requirements

• 3+ years of experience in observability engineering
• Experience implementing OpenTelemetry instrumentation for Python applications and services
• Experience with AWS CloudWatch including Metrics, Logs, and Structured Logs
• Experience integrating AWS X Ray for distributed tracing and performance analysis
• Strong understanding of telemetry concepts including metrics, traces, logs, and distributed observability
• Experience working with cloud environments and production systems
• Knowledge of W3C Trace Context and Baggage propagation standards
• Experience working with source control systems and collaborative development practices

Nice to have

• Experience with LangGraph or Strands agent frameworks
• Knowledge of OpenTelemetry GenAI SIG semantic conventions
• Experience configuring AWS Distro for OpenTelemetry collectors and export pipelines
• Familiarity with AWS AgentCore Observability capabilities
• Experience supporting observability for AI applications, agentic systems, or LLM powered solutions
• Knowledge of cloud native monitoring and distributed systems architectures

Нашим партенрам, які активно розвиваються та охоплюють декілька ключових бізнес-напрямків: від безпеки та оборони до міжнародного репутаційного менеджменту.

Шукаємо у команду Фінансового менеджера (Фінансиста), який допоможе побудувати прозору управлінську звітність, оптимізувати грошові потоки та підтримувати фінансову стійкість усіх напрямків бізнесу.

Обов’язкі:

• Управлінський облік та звітність (прибутки та збитки, рух грошових коштів, баланс).

• Участь у розробці річних та щомісячних бюджетів, контроль їх виконання, управління календарним плануванням платежів та запобігання касовим розривам.

• Моніторинг ключових показників (рентабельність, маржинальність, Opex/Capex, unit-економіка проєктів), розрахунок ефективності нових інвестиційних та бізнес-ініціатив.

• Контроль дебіторської та кредиторської заборгованості, розрахунків із контрагентами та постачальниками (у тому числі за закордонними контрактами).

• Участь у налаштуванні та вдосконаленні фінансового обліку в ERP-системах, BAS/1С, Power BI або інтегрованих Google Таблицях.

Вимоги:

• Вища економічна/фінансова освіта та досвід роботи фінансовим менеджером, економістом або фінансовим аналітиком від 2–3 років (досвід у виробництві, холдингах чи ЗЕД буде перевагою).

• Глибоке розуміння принципів побудови P&L, Cash Flow, Balance Sheet та принципів управлінського обліку.

• Просунутий рівень володіння Excel / Google Sheets (складні формули, зведені таблиці, Power Query), досвід роботи з ERP/BAS системами.

• Англійська мова на рівні Intermediate+ / Upper-Intermediate (для роботи з валютними розрахунками та міжнародними напрямками). Знання інших іноземних мов буде плюсом.

• Висока аналітичність, структурне мислення, уважність до деталей та вміння працювати з великими масивами даних.

Що ми пропонуємо:

• Можливість працювати онлайн або в сучасному офісі в Івано-Франківську (в центрі міста, гібридний формат).

• Участь у фінансовому управлінні різноплановими проєктами холдингу (від виробничих потужностей до цифрових сервісів).

• Конкурентну заробітну плату.

• Професійну та підтримуючу команду, де цінують ініціативу та відкритість.

Ми — байїнг-команда, працюємо у вертикалях Gambling, Crypto, Nutra, Gameplay та інших. Також співпрацюємо з 10+ партнерськими командами й шукаємо HR-партнера для розширення мережі.

Як пропонуємо працювати:

Якщо у вас є кандидат (геймплейщик, криптовик, нутровик тощо), ви надсилаєте нам його опис. Ми розглядаємо кандидата для нашої байїнг-команди та презентуємо його нашим партнерам. Ви при цьому ведете комунікацію безпосередньо з кандидатом.

Умови виплат:

• Якщо кандидат приєднується до нашої байїнг-команди — виплачуємо вам бонус за успішне працевлаштування.

• Якщо кандидат працевлаштовується до партнерської команди — ділимо прибуток 50/50.

Прозорість та безпека: ви зберігаєте пряму комунікацію з кандидатом, а ми відповідаємо за роботу з командами, презентацію кандидата та закриття угоди. Усі етапи співпраці прозорі.

Взаємна вигода: ми маємо великий пул кандидатів, тому якщо у вас є байїнг-команди, можемо працювати й у зворотному напрямку — передавати наших кандидатів через вас. У будь-якому напрямку ділимо прибуток 50/50.

Якщо зацікавлені, пишіть — обговоримо деталі та почнемо співпрацю.

Ми в пошуку AI-розробника для MilTech-компанії, яка вже доволі тривалий термін працює в Україні, створюючи інноваційні системи для зміцнення обороноздатності та захисту національних інтересів держави.

Ви нам ідеально підходите, якщо:

• Маєте практичний досвід роботи з AI-агентами: швидко збираєте пайплайни, розгортаєте в продакшн і доводите до результату (OpenClaw або подібні підходи: LangChain/LangGraph, LlamaIndex, OpenAI Assistants/Tools, або власні рішення).
• Впевнено працюєте з інтеграціями: REST API, webhooks, авторизація (tokens/OAuth), дебаг запитів/відповідей.
• Використовуєте Python для автоматизації: алгоритми, парсинг та обробка даних, інтеграції з API, надійні рішення з логуванням.
• Добре орієнтуєтесь в AWS (IAM, EC2, S3 або суміжні сервіси), розумієте базові принципи доступів і роботи з секретами.
• Маєте досвід розгортання локальних LLM (Ollama/vLLM/llama.cpp або аналоги): підбір моделі, запуск, базова оптимізація.
• Розумієте, як оптимізувати витрати на токени та якість для різних провайдерів (Gemini, OpenAI, Anthropic): контекст, кешування, вибір моделі під сценарій, контроль довжини.
• Працюєте по-інженерному: акуратні інтеграції, зрозумілі логи, мінімальна документація, відтворюваність результатів.

Що ми очікуємо від вас:

• Будувати й запускати AI-автоматизації та агентні рішення під бізнес-задачі: від постановки → до робочого прототипу → до стабільної версії.
• Інтегрувати зовнішні системи через REST API / webhooks: обмін даними, тригери, синхронізація статусів.
• Писати на Python сервіси/скрипти для автоматизації, збору та парсингу даних, нормалізації/збагачення, взаємодії з LLM та іншими API.
• Працювати з AWS для розгортання й експлуатації.
• Деплоїти та підтримувати локальні LLM (коли це доречно), підбирати модель під задачу.
• Впроваджувати контроль якості: оптимізація промптів/контексту, скорочення токенів, вибір моделі під сценарій, базові метрики якості.
• Регулярно демонструвати проміжні результати: показати, що працює → зібрати фідбек → покращувати якість і стабільність.

Буде плюсом:

• Досвід з агентними фреймворками/оркестраторами (OpenClaw, LangChain/LangGraph, LlamaIndex) або власними tool-calling підходами.
• Розуміння production-практик: Docker, CI/CD.
• Досвід з LLM evaluation (невеликий regression set, scoring, автоматизовані перевірки).
• Сильна комунікація з бізнесом: швидко роз'яснювати вимоги, узгоджувати мету, робити зрозумілі демо.

Що ми пропонуємо:

• конкурентну заробітну плату;
• бронювання та юридичний супровід щодо питань військового обліку;
• робота у стабільній, великій компанії з можливістю професійного розвитку;
• гарантована виплата заробітної плати, без затримок;
• офіційне працевлаштування з першого робочого дня, оплачувані лікарняні та відпустки відповідно до КзПп;
• офіс у Києві та Львові.
• автономність: офіс повністю підготовлений до роботи в умовах відключень - генератор, безперебійний інтернет, зарядні станції, запас питної та технічної води, обігрівачі й кондиціонери.
• харчування: безкоштовні обіди, а також кава, чай і снеки в офісі протягом усього дня.
• медична готовність: в офісі та в укритті є укомплектовані аптечки, турнікети й запас базових медикаментів.
• обладнане укриття: на випадок тривог укриття облаштоване як повноцінний робочий простір - робочі столи, стільці, зони відпочинку, Wi-Fi, розетки, освітлення, обігрів і вода.