Proxet

Senior Java Engineer (high-load product) 

Are you a Java Developer looking for new challenges? 
What about working with a high-profile client with millions of QPS? 
If you have experience developing high-performance distributed systems, this is the perfect opportunity to work on a new digital marketing management platform with a world-renowned client.
 
Project tech stack: 
Concurrency -  a high-load, low-latency system.
Cache: Aerospike, Memcached
Cloud: AWS, GCP
DB: PostgreSQL, Superset
Streams: Kafka, Kinesis
Data formats: Avro, Protobuf
Languages: Java, Scala, Python
 
 
About the project:
Our client is a leading streaming service based in the United States. With millions of users worldwide, its devices provide easy access to free TV, live news, sports, movies, etc. The client has an advertising business and also licenses its hardware and software to other companies.
 
Location: Ukraine remote
 
Skills & Experience:
- 4 - 8 years of experience building large-scale and low-latency distributed systems
- B.S. or M.S. degree in Computer Science, Engineering, or equivalent 
- Command of Java or C++
- Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming 
-Self-motivated individual with a high level of accountability and ownership
- Critical thinking and practical decision making
- Can do, results-oriented mindset
 
Will be a plus: 
- Experience with distributed caching, SQL/NoSQL, and other databases is a plus 
- Experience with Big Data and cloud services such as AWS/GCP is a plus
Experience in the advertising domain is a big plus 


 Responsibilities
- Work alongside a highly skilled engineering team to design, develop, and maintain large-scale, highly performing, real-time applications
- Own building features, driving directly with product and other engineering teams 
- Demonstrate excellent communication skills in working with technical and non-technical audiences 
- Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops 
- Be an evangelist for platform innovation and reuse 
- Deliver top-quality software in a timely fashion 

The Business Systems Manager is responsible for the configuration, optimization, and operational reliability of Proxet’s internal SaaS ecosystem. The role ensures that our key business systems are aligned with organisational needs, seamlessly integrated, comply with policies, and are fully leveraged by users.

This position bridges IT administration, process enablement, and vendor collaboration, ensuring smooth day-to-day operation of applications, efficient change management, and proactive improvement of workflows.

Responsibilities

• Monitor application health, usage, and user feedback.
• Oversee license utilization, renewals, and initiate cost optimization.
• Handle L2/L3 service desk tickets related to system access, configuration, and incidents.
• Configure workflows, automations, forms, and integrations to support business process needs.
• Design, build and maintain robust and reliable integrations between SaaS platforms by using the middleware tools
• Maintain application configuration and change management
• Ensure documentation of configurations, system baselines, changes, and user guides
• Manage users, groups, and license allocations across all assigned SaaS platforms
• Maintain access control and role-based permissions in line with security policies.
• Evaluate and apply vendor updates and feature releases.
• Track and communicate release impacts to relevant teams.
• Coordinate with business stakeholders to test and deploy new functionality.
• Identify recurring issues and propose systemic fixes or automation opportunities.
• Conduct onboarding sessions and knowledge sharing for end-users and managers.
• Serve as the primary point of contact for vendors, internal and external stakeholders.
• Review vendor SLAs, security posture, and application roadmaps.

Required Qualifications

• 3+ years of experience in application administration, IT operations, or business systems management in a fast-scaling IT service or consulting organization
• Proven experience working with Attlassian products (preferably JIRA/Confluence, experience additional extentions will be a plus)
• Proven experience managing integrations between multiple SaaS systems (via API or middleware such as Zapier, n8n or similar) 
• Hands-on experience with at least three of the following platforms class: IAM/DirectoryManagement (e.g. Google Workspace, MS Entra, Zoho ManageEngine), HRIS (e.g., PeopleForce), PSA (e.g. Ruddr), ERP/Finance (e.g.QuickBooks), CRM (e.g. HubSpot, Pipedrive)
• Strong understanding of SaaS administration, access management, and workflow automation.
• Familiarity with ITSM/ITIL practices (Incident, Change, and Release Management).
• Familiarity with data warehousing concepts and BI tools
• Familiarity with AI-embeded features in SaaS platforms and LLM pricinples
• Excellent problem-solving and cross-functional communication skills.
• Ability to document, train, and present to non-technical stakeholders.
• Understanding of data access controls, SSO, and identity management
   

Nice-to-have Qualifications

• Experience with security and compliance frameworks (SOC 2, ISO 27001).
• Experience writing custom scripts to augment middleware capabilities or interact with APIs
• Experience with the Enterprise Architecture Framework (e.g. TOGAF)
• Experience with Product development from scratch (as Product Owner, Project Manager)

About the role

As an ML Engineer, you’ll be responsible for building and operationalizing ML models, integrating them with existing data systems, and ensuring they perform reliably in production. You will collaborate with stakeholders to understand use cases, translate them into machine learning workflows, and design scalable pipelines that handle large volumes of data efficiently. By combining strong engineering skills with an understanding of applied ML, you’ll ensure that predictive analytics, forecasting, and optimization models directly support the client’s real estate, accounting, and investment reporting needs.
 

About the сlient:

Our client is a leading, $35B global commercial real estate services and investment firm. To accelerate its digital transformation, the organization is adopting Palantir Foundry as a core data and application platform. The focus is on building scalable solutions that showcase Foundry’s value, drive adoption, and create a pipeline of business-funded initiatives. These efforts aim to enable efficient data transformation and client-specific reporting at enterprise scale. Together, they will strengthen reporting capabilities, improve efficiency, and establish a foundation for data-driven applications across global operations.

‍

Who are we looking for?

Skills & Experience

• Master’s or PhD in Data Science, Computer Science, or a technology-focused field.
• 5+  years of hands-on experience designing and deploying AI or ML models.
• Hands-on experience setting up and maintaining large-scale data science and machine learning projects.
• Skilled with deep learning libraries like PyTorch, Keras, TensorFlow, and HuggingFace toolkits.
• Solid knowledge of machine learning, especially Natural Language Processing (NLP)  large language models (LLMs).
• Advanced Python coding and strong experience (with tools like Scikit-Learn, NumPy, SciPy, Pandas, and XGBoost.)
• Comfortable using SQL for working with large datasets and uncovering insights.
• Experience creating solutions in cloud platforms such as AWS Sagemaker or Microsoft Azure.
• Able to work on your own or as part of a group to hit targets.

Nice to have

• Focused on getting results for clients and working in an agile development setup.
• Curiosity, attention to detail, and drive to solve difficult data problems.
• Can design or review how a model’s success is measured to line up with business goals.
• Experience with LLMs in Palantir Foundry 
• Shows initiative by researching new solutions with some guidance.

Responsibilities

• Analyze data to find patterns and create machine learning solutions for challenging business issues 
• Understand the AI/ML program journey to formulate relevant high-impact business questions that can be answered through data analysis.
• Develop AI/ML solutions that can be scaled across various business use cases, starting from PoC to MVP and launching into production.
• Build and improve AI models - like those for prediction, automation, or natural language tasks.
• Use both in-house tools and the latest technology to increase operational productivity and efficiency as well as predictive analytics.
• Break down and share your process and results in a way that’s clear to non-technical folks, like business managers and executives.
• Keep up with and put into practice the latest AI and machine learning techniques.

‍

What we offer

Work:

• Flexible working hours;
• Collaborative, friendly team environment;
• Remote/Hybrid work;

Life:

• Company social events;
• Annual corporate parties;

Health:

• Comprehensive medical insurance;

Education:

• Allowances for professional education;
• English language courses with native speakers;
• Internal knowledge-sharing sessions.

We are seeking a Senior Data QA Engineer to join the team that designs, builds, and deploys ML-powered solutions within the real estate and property management domain. In this role, you will work with data pipelines, logic functions, LLM prompt outputs, and UI applications that help business users automate business processes, extract insights, and make data-driven decisions. You’ll work closely with product managers, ML engineers, and data engineers to build business applications that drive real business outcomes.

We are looking for an experienced Data QA Engineer to ensure the quality, reliability, and performance of data-driven products built on Palantir Foundry.

In this role, you will validate data ingestion, transformation, aggregation, and analytics workflows, covering the full data lifecycle from raw data ingestion to AI-driven data extraction, reporting, and visualization in functional UI apps. You will leverage QA best practices to improve efficiency and test coverage, and work closely with data engineers, developers, prompt engineers, and other teams to deliver high-quality, scalable solutions that meet business, governance, and security requirements

We are delivering this project to one of the global leaders in the commercial property management space.

 

Responsibilities: 

• Design and execute test plans, test cases, and test scripts for data pipelines in Palantir Foundry.
• Validate data ingestion, transformation, and processing workflows (e.g., ML/AI pipelines).
• Experience testing LLM-based data products (inputs/outputs, validation logic).
• Perform functional, integration, regression, and performance testing for data applications.
• Conduct data quality checks using SQL and Python notebooks.
• Validate datasets, metrics, and aggregations used for reporting and dashboards/visualization apps.
• Collaborate with Palantir developers and ML engineers to troubleshoot and resolve defects.
• Monitor and report defects, metrics, and quality trends using test management tools.
• Ensure compliance with data governance and security best practices.
• Participate in improving QA processes, standards, and documentation for data-driven products.

Qualifications:

• 4-5 years of experience in QA with strong focus on Data and BI apps testing.
• Hands-on experience in data platforms and BI/analytics layers, dashboards, or reporting solutions.
• Strong experience in testing data lineage, data migration, data security and compliance.
• Strong knowledge in SQL, Python, and data validation techniques.
• Experience testing APIs, ETL pipelines, big data systems, or data lakes.
• Strong understanding of data quality, data governance, and test practices.
• Experience working in Agile/Scrum environments

Would be a plus or nice to have:

• Exposure to Palantir Foundry or other data platforms.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
• Familiarity with performance testing approaches and best practices.
• Knowledge of automation frameworks (PyTest, Robot Framework, or similar).

The Jira / Atlassian Administrator is responsible for the configuration, reliability, and continuous improvement of Proxet’s Atlassian ecosystem.
The role ensures that Jira and Confluence are aligned with business processes, securely configured, well-documented, and fully adopted across teams.

This position merge IT administration, process enablement, and stakeholder collaboration, ensuring stable day-to-day operation, efficient change management, and scalable process automation within Atlassian tools.

Responsibilities

• Administrate Jira Cloud, Jira Service Management
• Configure workflows, automations, custom fields, and integrations to support business process needs
• Configure projects schemes, issue types, screens, and permission schemes
• Manage users, groups, and license allocations
• Maintain access control and role-based permissions in line with security policies
• Handle L2/L3 service desk tickets related to access, configuration, and incidents
• Maintain application configuration and change management
• Monitor application health, usage, and user feedback
• Review vendor updates and feature releases
• Track and communicate release impacts to relevant teams
• Coordinate with business stakeholders to test and deploy new functionality
• Identify recurring issues and propose systemic fixes or automation opportunities
• Ensure documentation of configurations, system baselines, changes, and user guides
• Conduct onboarding sessions and user training
• Serve as the primary point of contact for vendors and internal stakeholders

Required Qualifications

• 3+ years of experience in application administration, IT operations, or business systems management
• Proven experience working with Atlassian products (Jira, Confluence, JSM, Asset Management, Rovo)
• Proven experience managing integrations between multiple SaaS systems (API or zappier/n8n)
• Strong understanding of any SaaS administration, access management, and workflow automation
• Understanding of data access controls, SSO, and identity management
• Excellent problem-solving and cross-functional communication skills
• Ability to document, train, and present to non-technical stakeholders
  
   

Nice-to-have Qualifications

• Familiarity with ITSM / ITIL practices (Incident, Change, Release Management)
• Experience with security and compliance frameworks (SOC 2, ISO 27001)
• Experience writing custom plugins for JIRA cloud

Role Overview

The Senior Talent Acquisition specialist is responsible for managing the full-cycle recruitment process to attract, evaluate, and hire top talent for the company. This role involves sourcing, screening, and interviewing candidates while ensuring a positive and seamless candidate experience. 

The Senior Talent Acquisition specialist collaborates closely with hiring managers and department directors to understand staffing needs, ensuring timely searches and successful position closures. This role also includes implementing effective recruiting strategies, providing insights through recruitment metrics analysis, and contributing to employer branding initiatives to strengthen the pipeline of top-tier candidates.

Key Responsibilities:

• Drive the entire recruitment process, from sourcing candidates to conducting interviews, negotiating offers, and ensuring a smooth onboarding experience;
• Proactively source and build talent pipelines for current and future hiring needs using various channels, including LinkedIn, job boards, networking events, and employee referrals;
• Partner with hiring managers to define role requirements, set expectations, and provide recruitment expertise to ensure timely and quality hires;
• Conduct thorough candidate assessments, including resume screening, interviews, and reference checks to ensure alignment with professional requirements, soft skills requirements, and culture fit;
• Ensure a positive candidate experience by maintaining clear communication, providing feedback,k and guiding candidates through each stage of the recruitment process;
• Support employer branding initiatives by promoting the company’s culture to attract top talent;
• Build strong relationships with internal stakeholders, providing regular updates on hiring progress and aligning recruitment strategies with business objectives;
• Meet the internal recruitment metrics by ensuring an efficient and effective recruitment process;
• Regularly evaluate recruitment tools, technologies, and methodologies to optimize processes and improve efficiency.

Qualifications & Skills:

• 4+ years of hands-on experience in talent acquisition, recruitment, ideally within the fast-paced world of tech, managing end-to-end hiring processes;
• Proven track record of successfully hiring for a variety of roles, including technical, managerial, and executive-level positions;
• Previous experience in international recruitment and sourcing for global roles .
• Strong knowledge of recruitment dynamics across Europe, particularly in markets like Poland, Portugal, Spain, and Romania;
• Familiarity with employer branding and talent market research to attract top talent;
• Experience working closely with hiring managers and internal teams to align on talent strategy and role requirements;
• Background in high-volume recruiting in the IT industry and working in fast-paced environments is a plus.
• A strong background in recruiting data engineering talent, with solid insight into the domain;
• Familiarity with compliance and labor standards in various European countries.

Language requirements:

• English: B2-C1
• Polish fluent/native

Soft Skills

• Team-oriented with excellent interpersonal skills, strong communication and presentation abilities, and sensitivity to cultural differences;  
• Capable of working independently and efficiently within a global, remote work environment.

Role Overview
 

The Senior Talent Acquisition specialist is responsible for managing the full-cycle recruitment process to attract, evaluate, and hire top talent for the company. This role involves sourcing, screening, and interviewing candidates while ensuring a positive and seamless candidate experience. 

The Senior Talent Acquisition specialist collaborates closely with hiring managers and department directors to understand staffing needs, ensuring timely searches and successful position closures. This role also includes implementing effective recruiting strategies, providing insights through recruitment metrics analysis, and contributing to employer branding initiatives to strengthen the pipeline of top-tier candidates.

Key Responsibilities
 

• Drive the entire recruitment process, from sourcing candidates to conducting interviews, negotiating offers, and ensuring a smooth onboarding experience;
• Proactively source and build talent pipelines for current and future hiring needs using various channels, including LinkedIn, job boards, networking events, and employee referrals;
• Partner with hiring managers to define role requirements, set expectations, and provide recruitment expertise to ensure timely and quality hires;
• Conduct thorough candidate assessments, including resume screening, interviews, and reference checks to ensure alignment with professional requirements, soft skills requirements, and culture fit;
• Ensure a positive candidate experience by maintaining clear communication, providing feedback,k and guiding candidates through each stage of the recruitment process;
• Support employer branding initiatives by promoting the company’s culture to attract top talent;
• Build strong relationships with internal stakeholders, providing regular updates on hiring progress and aligning recruitment strategies with business objectives;
• Meet the internal recruitment metrics by ensuring an efficient and effective recruitment process;
• Regularly evaluate recruitment tools, technologies, and methodologies to optimize processes and improve efficiency.

Qualifications & Skills

Required work experience:

• 4+ years of hands-on experience in talent acquisition, recruitment, ideally within the fast-paced world of tech, managing end-to-end hiring processes;
• Proven track record of successfully hiring for a variety of roles, including technical, managerial, and executive-level positions;
• Previous experience in international recruitment and sourcing for global roles .
• Strong knowledge of recruitment dynamics across Europe, particularly in markets like Poland, Portugal, Spain, and Romania;
• Familiarity with employer branding and talent market research to attract top talent;
• Experience working closely with hiring managers and internal teams to align on talent strategy and role requirements;
• Background in high-volume recruiting in the IT industry and working in fast-paced environments is a plus.
• A strong background in recruiting data engineering talent, with solid insight into the domain;
• Familiarity with compliance and labor standards in various European countries.

Language requirements:

• English: B2-C1

• Polish fluent/native

   

Soft Skills

• Team-oriented with excellent interpersonal skills, strong communication and presentation abilities, and sensitivity to cultural differences;  
• Capable of working independently and efficiently within a global, remote work environment.

Project tech stack:  Go (Golang), LangChain, LangSmith, Python, Google Cloud Platform (GCP), PostgreSQL 

Overview

We are looking for a Senior Go Engineer with a passion for high-performance systems and Generative AI. In this role, you will be responsible for building the robust backend infrastructure that powers our AI initiatives. You will leverage Go for its concurrency and speed while integrating advanced LLM workflows via LangChain. A critical part of your role will be ensuring the reliability and quality of these AI systems by utilizing LangSmith for debugging, testing, and monitoring.

About the Client

Our customer is an innovation-driven organization leveraging Google Cloud to revolutionize their industry through AI. They focus on moving beyond "proof of concept" AI into production-grade tools. By combining GCP’s Langchain ecosystem, they are building scalable, secure, and highly intelligent applications that solve real-world logistical and data challenges.

Responsibilities

• Backend Development: Develop and maintain high-performance microservices using Go, focusing on clean code, concurrency, and low-latency API responses.
• AI Implementation: Build and optimize LLM chains and autonomous agents using LangChain (Go or Python-bridged) to automate complex tasks.
• Observability & Evaluation: Use LangSmith to trace AI executions, debug complex "chain" logic, and create evaluation datasets to ensure model accuracy and safety.
• Data Engineering: Work with pgvector or GCP Matching Engine to implement efficient Retrieval-Augmented Generation (RAG) workflows.
• CI/CD & Quality: Participate in building automated pipelines that include AI-specific testing (evals) to prevent regressions in model behavior.
• Collaboration: Work closely with the Product Owner to transition requirements into production-ready Go services.
• Engage with stakeholders to translate business requirements into robust technical solutions.

Qualifications

• Experience: 5+ years in software engineering, with at least 3+ years of professional experience building and scaling applications in Go.
• AI Frameworks: Hands-on experience with LangChain and a deep understanding of the LangSmith ecosystem for monitoring and debugging LLM applications.
• Cloud Expertise: Strong proficiency in Google Cloud Platform (GCP), Cloud Run, GKE, and Cloud Functions.
• Database Skills: Experience with relational databases and Vector Search extensions (like pgvector) for storing and retrieving high-dimensional embeddings.
• Testing & Quality: Experience building unit and integration tests for non-deterministic AI outputs.

Would be a plus:

• Python Proficiency: Ability to read and write Python to collaborate with Data Science teams and utilize the broader ML ecosystem.
• Industry Experience: Background in logistics, delivery, or complex resource management systems.
• Messaging: Experience with Google Pub/Sub for building event-driven architectures.
• Frontend Basics: Familiarity with React to better understand how backend AI responses are consumed by the UI.