Hanna Robulets Company

About the Company

A global trading and investing platform with 20M+ registered users across Stocks, Crypto, and ETFs is expanding its DevOps organization.

The team works on large-scale distributed production systems, infrastructure automation, Kubernetes multi-cluster environments, CI/CD architecture, and reliability engineering. This role is ideal for engineers who enjoy solving real production challenges related to scalability, security, observability, and platform engineering.

You’ll join a strong DevOps group driving cross-organizational infrastructure initiatives and platform improvements.

What You’ll Do

• Lead and contribute to cross-functional DevOps and infrastructure projects
• Design, build, and maintain scalable cloud infrastructure on Azure
• Manage Kubernetes multi-cluster environments in production
• Develop and optimize CI/CD pipelines and deployment strategies
• Improve reliability, scalability, monitoring, and security of distributed systems
• Automate infrastructure provisioning using Terraform and Terragrunt
• Collaborate closely with R&D teams on architecture and operational excellence
• Troubleshoot complex production incidents and performance bottlenecks
• Research and introduce new DevOps technologies and best practices
• Mentor engineers and participate in technical leadership discussions

Required Skills

• 6+ years of commercial DevOps experience
• Strong hands-on experience with Azure
• Production experience with Kubernetes
• Strong Infrastructure as Code expertise with Terraform
• Experience building and maintaining CI/CD pipelines
• Hands-on experience with:
  • GitHub Actions and/or Jenkins
  • Linux environments
  • Bash / Shell / PowerShell scripting
  • Python or Go for automation
• Strong understanding of:
  • Cloud infrastructure
  • Networking
  • Storage
  • Security best practices
• Experience supporting live production systems
• Strong debugging and troubleshooting skills
• Ability to work independently in fast-paced environments
• Leadership and mentoring experience

Nice to Have

• Terragrunt
• Service Mesh solutions
• Internal Developer Platforms (IDP)
• Previous Tech Lead experience
• OpenTelemetry
• Datadog / Grafana / Prometheus / Splunk / Dynatrace

Tech Stack

Cloud & Infrastructure: Azure, Terraform, Terragrunt, Kubernetes
CI/CD: GitHub Actions, Jenkins
Languages & Scripting: Python, Go, Bash, PowerShell
Monitoring: Grafana, Prometheus, Datadog, Splunk, Dynatrace
Other: OpenTelemetry, Service Mesh, Linux, Networking

Interview Process

1. Technical Interview — 1 hour
2. Technical Task — ~2 hours
3. Client Interview — 90 mins
4. Additional checks:
   • Security test
   • MitDot test
   • Polygraph test

Important Notes

• Remote B2B cooperation
• No visa sponsorship
• Candidates from Russia, Belarus, Iran, and North Korea cannot be considered

About the project

European product company developing a Marketing Data Integration & Analytics Platform is looking for a strong Fullstack Developer.

The platform helps clients aggregate and process data from multiple external sources through custom connectors and integrations.

Tech Stack

• Python
• Flask
• React
• Threads
• pytest-xdist

Requirements

• 4+ years of commercial Fullstack experience
• Strong Python experience
• Experience with Flask
• Experience with React
• Understanding of multithreading
• Experience with testing tools (pytest, pytest-xdist)
• Experience building integrations/connectors
• English — B2+

Nice to have

• Experience with data platforms
• Analytics or marketing domain experience

Responsibilities

• Develop backend and frontend features
• Build integrations and data connectors
• Improve platform performance and scalability
• Participate in architecture discussions
• Collaborate with distributed teams

Candidate Locations

Priority:Georgia

About the project

Israeli agrotech product company is scaling rapidly from 60k to 250k+ users and looking for experienced backend engineers to improve infrastructure scalability and system reliability.

The team is currently focused on scalability challenges, backend optimization, and future AI-ready data collection.

Open Roles

• 1x Team Lead
• 2x Senior Backend Developers

Tech Stack

• Java
• Cassandra
• MySQL → Aurora
• Elasticsearch / OpenSearch

Requirements

• Strong commercial experience with Java backend development
• Experience designing scalable distributed systems
• Experience with high-load infrastructure
• Strong database expertise:
  • Cassandra
  • MySQL/Aurora
• Experience with Elasticsearch/OpenSearch
• Understanding of scalability and performance optimization
• English — B2+

Will be a plus

• Experience with messaging systems
• Experience with WhatsApp/Facebook APIs
• AI/analytics-oriented data architecture experience

Responsibilities

• Improve backend scalability and reliability
• Optimize infrastructure for rapid user growth
• Design scalable backend services
• Work on messaging and communication systems
• Build systems for future AI data analysis
• Collaborate with cross-functional engineering teams

Full-time • Remote • EU • Long-term

About the project

We are looking for a Flexcube System Analyst to join a Core Banking team working with Oracle FLEXCUBE (FCUBS).

This is a techno-functional role combining banking domain expertise with hands-on platform knowledge.

Requirements

• Strong understanding of core banking operations
• Hands-on experience with Oracle FLEXCUBE (FCUBS)
• Knowledge of:
  • accounting entries
  • fees & interest calculations
  • regulatory reporting
  • account lifecycle
• Understanding of FLEXCUBE architecture
• Basic technical skills:
  • SQL
  • SOAP/REST
  • XML
  • UNIX/Linux logs
• Experience in production/support environments
• Strong analytical and communication skills
• English — Upper-Intermediate+

Nice to have

• ISO 20022
• SWIFT MT/MX
• FLEXCUBE certifications

Responsibilities

• Support and enhance Oracle FLEXCUBE platform
• Participate in banking transformation initiatives
• Reduce technical debt
• Support integrations and interfaces
• Analyze system data and documentation
• Collaborate with technical and business teams

About the project

We are looking for a Senior DevSecOps Engineer to support modernization of deployment and delivery infrastructure.

There are two focus areas:

• Kubernetes / k3s migration
• Secure CI/CD pipeline architecture

The role is highly hands-on and requires strong practical DevSecOps expertise.

Requirements

• 6+ years of experience in DevSecOps / Platform Engineering
• Strong hands-on experience with:
  • Docker
  • Kubernetes
  • k3s
• Experience migrating workloads from Docker Compose to Kubernetes
• Strong experience with:
  • Azure DevOps
  • GitLab CI/CD or Jenkins
• Experience implementing:
  • SAST
  • dependency scanning
  • container scanning
  • secrets management
  • image signing
  • release gates
• Linux administration and scripting skills
• Experience with Git workflows and Agile/Scrum
• Strong troubleshooting and communication skills
• English — Upper-Intermediate+

Responsibilities

• Migrate applications from Docker Compose to Kubernetes/k3s
• Build secure CI/CD pipelines
• Improve deployment automation and release reliability
• Implement DevSecOps security controls
• Troubleshoot CI/CD and Kubernetes environments
• Collaborate with engineering and security teams
• Document solutions and best practices

We offer

• Long-term cooperation
• Fully remote work
• International environment
• High-impact infrastructure projects

Important

We consider only candidates whose recent primary experience is DevSecOps.

About the project

We’re looking for a Senior Azure Data Engineer / Tech Lead to join a long-term Data Warehouse transformation project in the insurance & finance domain.

You’ll work on enterprise-scale DWH architecture, large-volume data processing, and modern Azure-based pipelines. The role combines hands-on engineering with technical leadership responsibilities.

Requirements

• 5+ years of experience in Data Engineering
• 2+ years of hands-on experience with Azure ecosystem
• Strong SQL expertise (complex queries, optimization, procedures, functions)
• Deep experience with:
  • Azure Synapse Analytics
  • PySpark
  • Python
  • Azure SQL Managed Instance
  • ADLS Gen2
• Strong knowledge of DWH architecture and data modeling
• Experience with Kimball/Inmon methodologies
• Understanding of SCD and historical data management
• Experience designing fact/dimension tables and Gold Layer aggregations
• Strong understanding of ETL/ELT pipelines
• Experience in financial or insurance projects
• Experience with technical leadership:
  • code reviews
  • architecture decisions
  • delivery planning
• English — Upper-Intermediate (B2+) or higher

Will be a plus

• Experience with Scrum delivery environments
• Experience decomposing business requirements into technical tasks
• Azure certifications

Responsibilities

• Design and improve enterprise DWH architecture
• Build scalable ETL/ELT pipelines in Azure
• Develop data processing solutions with PySpark & Python
• Optimize SQL performance and data workflows
• Lead technical decisions and code quality processes
• Collaborate with engineering and business stakeholders
• Support data reconciliation and month-end financial processes

We offer

• Long-term project
• Modern Azure stack
• International team
• Full remote
• Stable B2B cooperation

Employment Type Full-time

Preferred Location Poland preferred, other EU countries may also be considered

About the Role

We are looking for a Middle+/Senior Backend Developer with strong expertise in modern C++ development and experience working in Linux-based environments.

The ideal candidate has solid backend engineering experience, is comfortable working independently, and can actively contribute to the team in a production environment.

Tech Stack & Requirements

• Strong experience with C++ 23
• Commercial experience with Qt 5.15
• Good knowledge of Python
• Experience with Azure
• Experience working with Jira
• Strong Linux / Red Hat environment experience
• Experience with Docker / Podman
• Understanding of backend architecture and production environments

Responsibilities

• Develop and maintain backend components and services
• Work with modern C++ technologies and Qt framework
• Participate in system architecture and technical discussions
• Maintain and improve Linux-based infrastructure environments
• Collaborate with cross-functional teams in an agile environment
• Ensure stability, scalability, and performance of backend systems
• Work with containerized environments using Docker/Podman

Candidate Profile

• Middle+ or Senior level specialist
• Strong problem-solving skills
• Independent and proactive mindset
• Good communication and teamwork skills
• Experience working in enterprise or production-grade environments is a plus

Senior DataOps Engineer (Data Engineering + DevOps)

Location

Remote / Europe preferred

Start Date

ASAP

Industry

Pharma (experience in pharma domain is a strong advantage)

About the Role

We are looking for a Senior DataOps Engineer with a hybrid background in Data Engineering and DevOps. This role is ideal for someone who combines strong hands-on technical expertise with a proactive mindset and ownership mentality.

We are searching for a team-oriented professional who can also work independently, take initiative, and contribute beyond task execution. Curiosity, engagement, and willingness to continuously improve are highly valued.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and data models in Snowflake
• Ensure reliability, quality, and performance of data workflows across environments
• Monitor pipelines, troubleshoot production issues, and continuously optimize performance
• Deploy and operate data pipelines, including CI/CD processes and release management
• Collaborate closely with Data Analysts, BI Developers, and business stakeholders
• Own stability and performance of production data workflows
• Contribute to automation, monitoring, logging, and alerting processes
• Support environment management and ensure smooth pipeline operations in production
• Work with cloud infrastructure and modern development workflows

Requirements

• Senior-level experience in Data Engineering / DataOps
• Strong hands-on experience with Snowflake
• Proven experience building data warehouses and scalable data pipelines
• Strong practical experience with AWS
• Experience with CI/CD and DevOps practices
• Good knowledge of Git and modern development workflows
• Familiarity with Terraform, Docker, and cloud infrastructure tools
• Ability to work independently while being an active team contributor
• Strong ownership mindset and proactive attitude

Nice to Have

• Experience in the pharmaceutical industry
• Background in production-grade DataOps environments

Recruitment Process

1. Internal interview
2. Client interview

Important Notes

• Candidates from Russia and Belarus are not eligible, including relocated specialists
• Proof of nationality will be required (no sensitive personal information needed, only name and nationality)

📍 Location: EU only
🕒 Full-time | Long-term project (initially 6 months+)
🕘 Working hours: 9:00–18:00 CET
 

We’re looking for a strong Senior NLP & Python Developer to join an innovative AI-powered healthcare product focused on clinical trial automation and protocol intelligence.

The product is a next-generation Clinical Trial Management System (CTMS) that uses AI to analyze complex medical protocols (100–400+ page documents) and transform them into structured, executable workflows for research sites and clinical operations teams.

You’ll work on advanced NLP/RAG pipelines, scalable backend architecture, and AI systems that must meet strict healthcare compliance and auditability requirements.

What you’ll work on

• Designing and optimizing RAG pipelines for medical protocol parsing
• Building AI-powered extraction systems using LangChain, LangGraph, LLMs, and VLMs
• Improving AI traceability, reproducibility, and deterministic outputs
• Developing scalable backend services with FastAPI and PostgreSQL
• Working with vector databases (pgvector) and embedding pipelines
• Implementing document classification and extraction workflows
• Enhancing observability, validation, monitoring, and testing
• Supporting validation-ready and compliance-oriented architecture
• Improving performance and scalability of AI/ML infrastructure

Tech Stack

• Python 3.14
• FastAPI
• SQLModel / SQLAlchemy / Pydantic v2
• PostgreSQL + pgvector
• LangChain / LangGraph
• Docker / Docker Compose
• Celery
• Redis
• RabbitMQ
• NLP / LLM / VLM pipelines

Requirements

• 5+ years of commercial Python development experience
• Strong experience with FastAPI and SQLAlchemy
• Deep knowledge of PostgreSQL (schema design, indexing, optimization)
• Experience with Docker and microservice architecture
• Hands-on experience with LangChain and RAG systems
• Experience with vector databases (preferably pgvector)
• Strong understanding of embeddings, prompt engineering, and AI orchestration
• Experience with Celery, Redis, RabbitMQ
• Practical experience with document extraction / NLP systems
• Experience working in regulated industries (healthcare, fintech, life sciences, etc.)
• Strong architectural and system-design mindset
• Upper-Intermediate+ English

Nice to have

• Experience with GxP or healthcare-compliant AI systems
• Experience with AI explainability and auditability
• Familiarity with Ruff, Poetry, pre-commit hooks
• Experience scaling AI-heavy platforms

Team

You’ll collaborate with:

• ML Architect
• Senior ML/Python Engineer
• Frontend Engineer
• QA Engineer
• BA & PM

This is a high-impact role where you’ll directly influence the architecture of a complex AI healthcare platform.

📩 If you have strong Python + NLP/RAG expertise and want to work on meaningful AI systems in healthcare — apply now.

Workload — Full-time
Duration — Longtern
Location — EU


We are currently looking for a Cloud DevOps Developer for our client in the rail transport sector.

Key details:
Start: As soon as possible, subject to agreement
Duration: Until 31 December 2026, with the option to extend
Scope: 100% workload, 100% remote

Essential requirements:
5 references: Strong IT affinity, understanding & architecture
1 reference: Database knowledge – in-depth knowledge of PostgreSQL / API
C1 German
In-depth knowledge of Python and AWS
Knowledge of the Linux server environment (no Windows)

Desired requirements:
The specialist should be able to understand Python code, develop concepts, identify potential for improvement and implement these in solutions in consultation with the specialist department
The specialist should have specialist knowledge in the field of Cloud DevOps.
Prepare documentation in German tailored to the target audience.

Responsibilities:
The service provider shall perform the following tasks:
*Conducting computational time tests
*Assisting with the setup and configuration of VMs and cloud infrastructure
*Identifying opportunities for optimisation based on code analysis
*Implementing identified performance improvements in Python, including in conjunction with a PostgreSQL database
*Integration of new features following approval by the specialist department
*Source code development and quality assurance
*Documentation of the developed code as executable text in the source code and in Confluence, so that the code can be understood by expert third parties. Appropriate documents must be prepared for the acceptance of the software by DB InfraGO
The relevant documentation must be produced
*Presentation of work results
*Training of internal staff so that they can understand, further develop and maintain the software
*Participation in the planning, design and implementation of software projects
*Testing and debugging software applications to ensure they meet specified quality standards
Participation in code reviews and provision of constructive feedback to other developers
Acceptance of the software is carried out by the client. This involves checking, amongst other things, whether the requirements have been met, whether the
software runs stably and reliably, and whether faults can be rectified quickly.
To perform the services listed above, the contractor’s designated agent shall be granted access to
the following tools/systems:
*Documentation platform: CONFLUENCE and Microsoft SHAREPOINT
*Project management tool: JIRA
To enable access to the above-mentioned tools/systems, the client shall provide the following essential
work equipment:
*DB User
*Laptop (Basic Workplace (BWP)) incl. MS Office 365 and VPN For use via the BWP, the Client shall
also provide the following essential licences:
*GitLab
The use of these tools/systems is essential to ensure a consistent and properly documented codebase when working with other service providers
and in-house developers.

Domain: Enterprise / Oil & Gas / Energy
Client region: UAE / Middle East
Long-term assignment
Duration: 6+ months
Location: Remote
Seniority:  Senior

About the Role
We are looking for a highly experienced ServiceNow IT/OT Solution Architect to support enterprise oil & gas / energy initiatives in the UAE market.

The ideal candidate should have strong ServiceNow architecture experience, especially across ITOM, CMDB, SecOps, AI Control Tower / Now Assist, and enterprise IT/OT operations.

This is not a standard ServiceNow developer role. We are looking for a senior architect-level expert who understands how ServiceNow can support unified IT/OT operations, industrial asset visibility, AI-driven operational intelligence, and cybersecurity workflows in complex industrial environments.

Key Responsibilities
- Architect ServiceNow solutions across ITOM, CMDB, SecOps, and AI-enabled operations.
- Support the design and governance of ServiceNow AI Control Tower / Now Assist capabilities.
- Define CMDB strategies covering both IT assets and OT/industrial assets.
- Support OT asset lifecycle management and asset taxonomy design.
- Design integrations between ServiceNow and industrial/OT systems where relevant.
- Work with SCADA/DCS, historian, MES, or operational intelligence platforms at the architecture level.
- Define service management workflows for OT cybersecurity and industrial operations.
- Align ServiceNow architecture with ISA-95 / Purdue Model concepts.
- Support IEC 62443-aligned OT cybersecurity incident management workflows.
- Advise on governance models for AI-assisted or autonomous remediation in IT vs OT environments.
- Collaborate with ServiceNow developers, OT engineers, cybersecurity experts, and business stakeholders.
- Participate in discovery sessions and help shape the remote delivery/service model.
 

Must-Have Experience
- 10+ years of IT/OT, enterprise architecture, or industrial technology experience.
- 5+ years of ServiceNow platform experience at architect / senior consultant level.
- Strong ServiceNow ITOM and CMDB experience.
- Experience with ServiceNow integrations and enterprise workflow design.
- Understanding of ServiceNow SecOps or cybersecurity workflows.
- Experience in oil & gas, energy, utilities, heavy industry, or similar industrial environments.
- Understanding of OT environments: SCADA, DCS, PLCs, RTUs, sensors, HMI.
- Knowledge of ISA-95 / Purdue Model / IT-OT convergence.
- Understanding of OT cybersecurity principles and IEC 62443.
- Strong English and ability to communicate with senior technical/business stakeholders.
 

Strong Advantage
- Hands-on or architecture-level experience with ServiceNow AI Control Tower.
- Experience with Now Assist, GenAI Studio, AI Agent Studio, or AI governance in ServiceNow.
- Experience integrating ServiceNow with OSIsoft PI / AVEVA / MES / historian platforms.
- Experience with Honeywell, ABB, Yokogawa, Emerson DeltaV, or similar SCADA/DCS platforms.
- IEC 62443 Practitioner, GICSP, CISSP, or similar certification.
 

- ServiceNow certifications:
- Certified System Administrator;
- Certified Application Developer;
- Certified Technical Architect;
- CIS-ITOM;
- CIS-CMDB;
- CIS-SecOps;
- Now Assist / AI-related specialization, if available.
- Prior experience with ADNOC, Saudi Aramco, or a similar national oil company / large energy enterprise.
- Knowledge of NERC CIP or IEC 61850.
 

Soft Skills
- Structured and independent working style.
- Ability to understand business processes and translate them into ServiceNow configurations.
- Good communication with technical and non-technical stakeholders.
- Comfortable working in enterprise environments with established processes.
- Detail-oriented approach to platform changes and documentation.
- Ability to work remotely with international teams.

About the Client
Our client is a technology consulting and cloud services company focused on helping organizations modernize their infrastructure and digital operations.

The company works across cloud migration, infrastructure design, managed cloud services, automation, cybersecurity, data engineering, AI/ML, and application modernization. Its teams support enterprise clients across multi-cloud environments, including Azure, Google Cloud, and AWS, with a strong focus on scalability, reliability, security, and operational efficiency.

You will be joining a practical, delivery-focused migration project where speed, ownership, and hands-on cloud engineering experience are essential.

Project Overview
Cloud migration project focused on moving workloads from Microsoft Azure to Google Cloud Platform (GCP).

The project requires an engineer who can support infrastructure migration, data movement, automation, Kubernetes setup, networking, and cloud-native service configuration.

This is a hands-on role, best suited for engineers who have worked on real cloud migrations or multi-cloud infrastructure projects and can quickly contribute with minimal ramp-up time.

Role Overview
As a Cloud Migration Engineer, you will support migrating infrastructure and workloads from Azure to GCP.

You will work with cloud infrastructure, automation pipelines, Kubernetes environments, networking components, and cloud-native services. The role requires strong practical experience with at least one major cloud platform and ideally hands-on exposure to both Azure and GCP.

Responsibilities
- Support migration of workloads from Azure to GCP
- Participate in the planning and execution of VM migration
- Support data migration activities between cloud environments
- Build and maintain infrastructure using Terraform
- Develop and improve infrastructure automation pipelines
- Configure and support Kubernetes-based workloads
- Work with cloud networking components, including VPCs, subnets, routing, firewall rules, load balancers, and connectivity between cloud environments
- Configure and support cloud-native services in Azure and GCP
- Troubleshoot migration, deployment, networking, and infrastructure issues
- Collaborate with client-side and internal teams to ensure smooth migration execution
- Document migration steps, infrastructure changes, and operational procedures
 

Required Skills
- Hands-on experience with cloud infrastructure engineering
- Practical experience with Microsoft Azure
- Practical experience with Google Cloud Platform
- Experience with VM migration or infrastructure migration projects
- Experience with data migration between environments
- Strong hands-on experience with Terraform
- Experience building or maintaining CI/CD or infrastructure pipelines
- Good understanding of Kubernetes
- Good understanding of cloud networking:
- VPC / VNet
- subnets
- routing
- firewall rules
- load balancers
- VPN / interconnect concepts
- Experience working with cloud-native services
- Ability to troubleshoot infrastructure and deployment issues independently
-  Good communication skills in English
- Ability to move quickly in a time-sensitive project environment
 

Nice to Have
- Previous experience with Azure to GCP migration
- Experience with multi-cloud environments
- Experience with migration assessment and planning
- Experience with GKE / AKS
- Experience with GCP Compute Engine, Cloud Storage, IAM, Cloud SQL, Pub/Sub, Cloud Logging / Monitoring
- Experience with Azure Virtual Machines, Storage Accounts, VNets, Azure Monitor, AKS
- Experience with security and IAM configuration in cloud environments
- Experience with cost optimization or cloud governance

Senior Data Engineer (Palantir Certified) – Europe
Location Europe (remote or hybrid, EU time zones)

About the Role
We are looking for a Senior Data Engineer certified in Palantir (Foundry) to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams in a highly data-centric environment.

This role requires hands-on experience with Palantir Foundry and the ability to translate business requirements into robust, scalable data solutions.

Responsibilities
- Design, build, and maintain end-to-end data pipelines using Palantir Foundry

- Develop and manage data models, transformations, and workflows within Foundry

- Integrate data from multiple sources (APIs, databases, files, event streams)

- Ensure data quality, reliability, security, and governance across data products

- Optimize performance and scalability of data pipelines and analytics workloads

- Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions

- Support analytics, reporting, and advanced use cases (including ML/AI where applicable)

- Contribute to best practices, documentation, and data platform standards

Requirements (Must-Have)
- Senior-level experience as a Data Engineer (5+ years)

- Palantir certification (Foundry)

- Strong hands-on experience working with Palantir Foundry in production

- Excellent proficiency in Python and SQL

- Experience building and operating cloud-based data platforms

- Solid understanding of data modeling, ETL/ELT, and data warehousing concepts

- Strong focus on data quality, governance, and security

- Experience working in Agile, cross-functional teams

- Professional working proficiency in English

- Must be located in Europe

Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP)

- Exposure to analytics engineering or data product development

- Experience working in regulated or enterprise environments

- Familiarity with CI/CD and infrastructure-as-code concep

Project start: As soon as possible / by mutual agreement
Duration: 6+ months (extension possible)
Workload: 100%
Location: Primarily remote, with 9 onsite days per year in Frankfurt am Main for planning sessions

Responsibilities
 

Data Analysis & Feature Engineering
- Perform complex ad-hoc data analyses to identify relevant factors influencing forecasting models
- Prepare, explore, and transform large datasets using Python (e.g., pandas, polars) and SQL
- Develop robust features to improve model accuracy and quality
 

Forecasting & Machine Learning Model Development
- Design, implement, and train statistical, machine learning, and time-series models
- Work with methods such as regression models and neural networks
- Select appropriate modeling approaches based on business requirements, data structure, interpretability, and scalability
 

Model Validation & Quality Measurement
- Define, calculate, and interpret key model evaluation metrics
- Conduct cross-validation, backtesting, and stability analyses to ensure reliable and generalizable forecasts
 

Model Comparison & Performance Monitoring
- Compare different modeling approaches using standardized evaluation frameworks
- Monitor model performance over time, including data drift and model drift detection
- Analyze deviations between forecasts and actual outcomes
 

Operationalization & Integration
- Support integration of forecasting models into production data pipelines on AWS
- Collaborate with Data Engineers and BI Developers to deliver model outputs for reporting, planning, and decision-making
 

Data Quality & Model Robustness
- Ensure high data quality through plausibility checks, outlier detection, and missing-data handling strategies
- Assess model sensitivity to data changes and assumptions
 

Documentation & Communication
- Maintain clear documentation of model assumptions, training processes, and validation results
- Communicate forecast quality, uncertainties, and limitations to business stakeholders and management
 

Continuous Improvement
- Continuously enhance existing models based on new data, stakeholder feedback, and changing business requirements
- Stay updated on best practices and new methods in forecasting and model evaluation
 

Governance, Security & Compliance
- Implement IT security policies, regulatory requirements, and internal programming standards
- Ensure data privacy, security, and compliance in all data processing activities

Required Qualifications
Mandatory Requirements
- 5+ years of practical experience in designing, implementing, and validating forecasting, machine learning, and time-series models in production environments
- 5+ years of hands-on Python experience, especially with pandas or polars for data analysis, feature engineering, and model development
- 2+ years of SQL experience for data querying and preparation
- 3+ years of experience in model validation and quality measurement, including evaluation metrics, cross-validation, and stability analysis

Nice-to-Have Qualifications
- Experience with forecasting, machine learning, or time-series models based on graph databases (minimum 2 projects)
- Experience integrating forecasting models into production AWS data pipelines (minimum 1 project)
- Experience analyzing and processing data from railway control and signaling systems (minimum 1 project)

We are looking for a talented PHP Developer with strong Laravel expertise and solid database experience to join our team of professionals and help us build high-quality solutions.

Requirements:

• Minimum 4 years of experience in commercial software development.
• Relational databases (PostgreSQL/MySQL): optimized queries, indexing, transactions, locks, complex SQL queries.
• A strong background in PostgreSQL will be a big plus.
• Experience with NoSQL databases: MongoDB, Redis.
• Understanding of message queue systems (Kafka, RabbitMQ).
• Laravel – confident expertise (level 9/10).
• Experience developing and maintaining REST APIs, working with JSON.
• Proficiency with Git version control.
• Experience with Docker.
• Knowledge of external integrations: APIs, third-party services.
• Strong communication skills and ability to work effectively in a team environment.

We offer:

• A chance to work with a team of professionals who value quality and initiative.
• Flexible schedule and remote work opportunity.
• Competitive compensation based on experience and skills.
• Real opportunities for professional growth and career development.