Proxet

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:
— 5+ 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

Role Overview

The Business Applications 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 Us

We are transforming the way medical and academic research institutions manage the entire research lifecycle, from initial grant submission, funding, approvals, and human capital management. We are commercializing a successful, custom enterprise application, used for over a decade by a major medical research center, into a scalable, multi-tenant SaaS product. This new product will be utilized by leading academic and medical research centers globally, demanding a modern, secure, and robust architecture.
 

The Role

We are seeking a highly experienced and visionary Principal Architect to design, own, and lead the technical architecture for our new commercialized Enterprise SaaS product. This is a critical leadership role that requires deep expertise in migrating legacy systems, architecting multi-tenant solutions, ensuring high-stakes data security/compliance, and defining complex enterprise integration strategies.
 

A key focus will be transforming hard-coded product logic into a configurable low-code/no-code framework, enabling administrators to define workflows, forms, notifications, and document generation without direct developer involvement.

You will be the foundational technical leader, defining the architectural blueprint and non-functional requirements that will ensure the product’s success, scalability, and market readiness. 

 

Key Responsibilities

Architectural Strategy & Design

• Define the Target State Architecture: Architect the comprehensive, future-proof engineering architecture for the commercialized SaaS product, moving away from the existing legacy constraints.
• Multi-Tenancy: Design and own the architecture for a secure, performant, and cost-effective multi-tenancy environment.
• Data Model: Design the new, scalable, and compliant data models to support the full research lifecycle and enterprise reporting needs.
• Security & Authorization: Architect the Role-Based Access Control (RBAC) model, authentication (SSO), and granular login/permission system to manage complex institutional and project-specific security rules (HIPAA/GDPR considerations a plus).
• Workflow Engine: Define the architecture for a robust, configurable workflow and rules engine to manage grant submissions, approvals, compliance checks, and funding disbursements.
• Document Management & Processing: Design solutions for secure document upload, storage, versioning, and processing, including the use of OCR/AI/ML for reading, parsing, and extracting data from legal agreements and standardized forms.

• Notifications & Forms: Define the architecture for a flexible, scalable notification service and a dynamic form generation engine.

   

Enterprise Integrations & Modernization

• Human Capital Management (HCM) Integrations: Design and lead the technical strategy for complex, bi-directional integrations with major HCM platforms like Workday, PeopleForce, and others, ensuring secure data synchronization for researchers, staff, and funding.
• API Strategy: Define and document a comprehensive API gateway and microservice architecture to support both internal components and external third-party integrations (e.g., funding agencies, institutional ERPs).
• Technology Stack Selection: Propose and justify the optimal technology stack, cloud provider (AWS, Azure, or GCP), and deployment strategy (e.g., Kubernetes).

Required Qualifications

• Excellent communication skills, with the ability to articulate complex technical decisions to both executive leadership and engineering teams.
• 10+ years of progressive experience in software engineering, with 5+ years in a dedicated architecture role for Enterprise SaaS products.
• Proven track record of successfully modernizing or commercializing a legacy enterprise application into a scalable, multi-tenant product.
• Deep expertise in designing complex data models for large-scale enterprise applications.
• Demonstrated experience architecting enterprise-level integrations, specifically with Human Capital Management (HCM) or ERP systems (e.g., Workday, Oracle, SAP).
• Advanced AI/ML & Agent Experience:
• Proven skills in utilizing and architecting solutions around Large Language Models (LLMs) and AI Agents for tasks such as complex document parsing, semantic search, and intelligent workflow automation
• Experience with MCP servers or similar advanced service mesh and event-driven architectures for orchestrating complex processes.
• Strong understanding of security, compliance, and regulatory frameworks relevant to medical/academic data (e.g., HIPAA, GDPR, institutional policies).

Collaboration & Mentorship:

• Provide architectural guidance and mentorship to engineering leads and development teams.
• Promote cross-team architectural consistency and alignment with product vision.
• Foster a culture of technical excellence, continuous improvement, and accountability across the engineering organization.
• Partner with Product and Delivery leadership to ensure architectural priorities are integrated into roadmap planning and execution.

Governance & Delivery:

• Experience implementing modern DevOps practices, including CI/CD pipelines, observability, and infrastructure-as-code (IaC).
• Familiarity with release governance processes, audit logging, and proactive system health monitoring in enterprise environments.
• Ability to define and enforce architectural standards through documentation (ADRs), peer reviews, and quality gates.

Technology Stack (Current and Target Ecosystem):

• Frontend: React, TypeScript, Redux, Micro-frontend composition
• Backend: .NET 8, ASP.NET Web API, Entity Framework Core
• Database: Microsoft SQL Server, Azure SQL
• Infrastructure: Azure Cloud (App Services, Blob Storage, Service Bus, Functions, API Management), Infrastructure-as-Code (Bicep/Terraform)
• AI & Automation: Azure OpenAI, Azure AI Document Intelligence, Semantic Search, Event-driven Chat Orchestrator
• DevOps: Azure DevOps Pipelines, GitHub Actions, Containerization (Docker), CI/CD automation
• Security & Identity: Azure Entra ID (AD), RBAC, SSO, Key Vault, Managed Identities
  
   

We are seeking an ML Engineer to design, build, and deploy ML-powered solutions within the real estate and investment management domain. In this role, you will develop predictive models, scalable pipelines, and automation tools that help business users and analysts extract insights and make smarter, data-driven decisions. You’ll work closely with product managers, data scientists, and data engineers to turn requirements into robust machine learning applications that drive real business outcomes.

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 efficiently handle large volumes of data. 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 project: 
Our client is a leading $35 billion 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.

Location: Europe, LatAm (remote) 

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.

We are expanding our Internal IT team and looking for a hands-on, highly motivated and detail-oriented IT Support Specialist (L1/L2) who will ensure smooth operations of internal IT services, tools, and infrastructure across our global organization.
This role combines the responsibilities of ITSM, elements of ITAM, and Office and Cloud Infrastructure support.

You will work closely with business stakeholders, engineering teams, and system owners to guarantee reliability, fast response, and stakeholder satisfaction. Reports to: Director of Operations

Location: Hybrid (Wroclaw only)
 

Key Responsibilities:

ITSM (Service Desk and Support, L1/L2)

• Act as a primary point of contact for end-users, ensuring timely and effective resolution of technical requests and issues
• Handle first-line requests (password resets, VPN issues, device troubleshooting, subscriptions/SaaS access).
• Diagnose, categorize, and route incidents, service requests, and problems 
• Resolve hardware/software issues (Windows, macOS, VPN, subscriptions).
• Support SaaS systems access and user onboarding/offboarding.
• Maintain clear communication during outages, incidents, and planned maintenance.
• Execute standard Change Management tasks (L1/L2).
• Standardize ITSM process improvement, automation, documentation, and knowledge base articles

ITAM (IT Asset Management)

• Own and manager the full lifecycle of IT assets within the organization.
• Manage and maintain accurate records for all IT assets, including software, hardware, licenses, subscriptions, and SaaS systems.
• Manage the procurement of new IT assets and register them accurately in the asset inventory system.
• Configure and deploy new hardware and software for Proxetters (OS setup, device enrollment, security policies configurations)
• Monitor and analyze asset usage and lifecycle status (asset health, warranty, capacity, etc) to optimize inventory and licensing
• Manage the safe and secure decommission and disposal of end-of-life IT assets
• Collaborate with office managers and external vendors to ensure timely procurement and distribution of assets.

Office and Infrastructure Support

• Support and monitor office network and connectivity (LAN, Wi-Fi, VPN, firewalls, access points, etc).
• Monitor networks troubleshooting and escalate complex network issues to senior engineers/vendors.
• Support office IT hardware (printers, badge/access control systems, CCTV, meeting room equipment).
• Manage backup and recovery procedures (local and cloud environments)
• Support and maintain on-premise and cloud servers used for internal purpose
• Assist engineering teams with cloud infrastructure (AWS, Azure, GCP) for project use

Requirements:

• 3+ years of experience in IT support or IT operations
• Strong troubleshooting skills for macOS and Windows environments
• Solid networking knowledge (TCP/IP, DNS, DHCP, routine basics, Wi-Fi troubleshooting, VPN)
• Experience working with identity systems (Google Workplace, MS Entra)
• Practical experience with ITSM tools (e.x Jira Service Management or similar)
• Experience with device enrollment, OS imaging, patching, and endpoint security (MS Entra, Apple Business Management, ManageEngine, Crowstrike, CloudFlare or similar)
• Strong experience with SaaS applications, access management, roles and groups, SSO logic
• Hands-on experience with asset management and inventory systems (Jira Service Management Assets or similar)
• Hands-on experience with Jira cloud administration
• Strong customer service mindset: friendly, respectful, and solution focused
• Proactivity and problem solving skills, ability to operate independently
• High responsibility and ownership mentality (“Even If I don’t know how to resolve something, I’ll figure-out the optimal solution and solve it”)
• Experience working with a global/distributed company (at least 2+ countries)
• English level B2+
• Familiarity with ITSM and ITAM best practices.

Nice to have requirements:

• Experience with automation (Bash, PowerShell, Python - basic+ level)
• Understanding of IT security best practices (MFA, conditional access, device compliance policies)
• Familiarity with CCTV systems, access control, and office IT hardware integrations
• Experience with middleware systems (Zapier, n8n, maker or similar)
• Experience with configuring cloud infrastructure from scratch (Azure, AWS, GCP)
• Familiarity with data warehousing/BI visualization tools

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.

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.
• 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.

We are seeking a ML Engineer to design, build, and deploy ML-powered solutions within the real estate and investment management domain. In this role, you will develop predictive models, scalable pipelines, and automation tools that help business users and analysts extract insights and make smarter, data-driven decisions. You’ll work closely with product managers, data scientists, and data engineers to turn requirements into robust machine learning applications that drive real business outcomes.

About the role

As a 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.

• Master’s or PhD in Data Science, Computer Science, or a technology-focused field.
• 4+  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.

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

• 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

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.