Role Description We are seeking an experienced OMS Platform Reliability Lead to drive the reliability, stability, and automation of a high-volume Order Management System (OMS) platform. This is a highly technical role that combines Platform Engineering, Site Reliability Engineering (SRE), and technical leadership to improve platform health through automation, observability, and proactive incident management. The ideal candidate will lead a technical support team while serving as the bridge between Software Engineering and IT Operations, driving self-healing capabilities, operational excellence, and continuous platform improvements. Key Responsibilities - Technical Automation & Self-Healing - Design and implement automated order replay mechanisms to resolve synchronization failures across event-driven integrations. - Develop automation tools and scripts using Python, REST APIs, or platform SDKs for bulk updates and system remediation. - Build advanced monitoring dashboards using tools such as Splunk, Datadog, ELK, or New Relic. - Design proactive alerting to detect stuck orders, inventory mismatches, API failures, and platform issues before customer impact. - Platform Reliability & Incident Management - Serve as the highest technical escalation point for production issues requiring Java debugging and GraphQL troubleshooting. - Perform detailed Root Cause Analysis (RCA) using application logs and event-driven architecture. - Analyze API performance and database interactions to recommend performance improvements. - Maintain incident documentation, technical workarounds, and operational runbooks. - Engineering Collaboration - Partner with Engineering, Architecture, and E-commerce teams to ensure operational requirements are incorporated into development roadmaps. - Collaborate with external platform vendors regarding upgrades, integrations, and API changes. - Mentor technical support engineers in GraphQL optimization, Java debugging, and platform troubleshooting. - Release & Change Management - Validate platform configurations and custom extensions during release cycles. - Support Git-based version control, branching strategies, and operational hotfix deployments. - Ensure deployment stability through strong CI/CD awareness and release governance. Qualifications - Bachelor's degree in Computer Science, Software Engineering, or a related technical field. - 5+ years of experience in OMS Technical Operations, Platform Engineering, or Site Reliability Engineering within high-volume SaaS environments. - Strong understanding of Order Management Systems and event-driven architectures. - Experience with REST APIs, JSON, GraphQL, and Java troubleshooting. - Strong SQL skills for operational diagnostics and reporting. - Proficiency in Python for automation and scripting. - Experience with Git, CI/CD pipelines, and deployment best practices. - Hands-on experience with observability tools such as Splunk, Datadog, ELK Stack, or New Relic. - Knowledge of messaging/event technologies such as Kafka, Pub/Sub, or Event Grid. - Strong analytical and troubleshooting skills with experience performing Root Cause Analysis (RCA). - Familiarity with ITIL processes and an SRE mindset focused on automation and reducing manual operational effort. Preferred Qualifications - Hands-on experience with Fluent Commerce, including: - Fluent GraphQL API - Webhooks - Essential Rules - Fluent SDK - Experience supporting high-volume eCommerce or retail platforms. - Experience designing self-healing operational automation. Desired Skills - Platform Reliability Engineering - Site Reliability Engineering (SRE) - OMS Operations - Fluent Commerce - GraphQL - Java - Python - SQL - REST APIs - Kafka - Event-Driven Architecture - Datadog - Splunk - ELK Stack - New Relic - Git - CI/CD - Root Cause Analysis - Incident Management - Observability - Automation Engineering Compensation The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Role Description As a Principal Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. - Work closely with product and engineering teams to identify opportunities for improvement. - Develop innovative solutions and drive revenue growth for hotels relying on our platform. - Ensure the reliability, scalability, and high quality of our ML systems from development to production. - Establish robust ML practices and rigorous testing processes across the entire ML lifecycle. - Own the end-to-end development of our revenue management application. - Ensure hotels have reliable, accurate insights to maximize their success. Qualifications - 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production. - Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing). - Great understanding of machine learning principles (experimental design, statistical distributions and tests, machine learning algorithms). - Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. - Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). - Expert-level SQL skills and experience working with large datasets for analysis and modeling. - Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges. - Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams. - Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Requirements - Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems. - Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Prefect, Dagster), and model monitoring/drift detection at scale. - Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices. - Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps. - Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions. - Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. Benefits - Remote First, Remote Always. - PTO in accordance with local labor requirements. - Monthly Wellness Fridays - enjoy an extra long weekend every month. - Full Paid Parental Leave. - Home office stipend based on country of residency. - Professional development courses in Cloudbeds University. - Access to professional development, including manager training, upskilling, and knowledge transfer.

Role Description We are seeking a curious, experienced Senior Node.js Engineer to help design and build our next-generation platform. You will lead the development of resilient, cloud-native microservices in Node.js/TypeScript, contribute to architectural decisions that improve scalability and availability, and mentor other engineers. Experience or a strong interest in platform engineering and AI agents is a major plus as we pursue this year’s strategic objectives. Qualifications - 5+ years of hands-on Node.js and TypeScript development, demonstrating senior-level ownership; - 3+ years with AWS (Lambda, API Gateway, S3, DynamoDB, RDS) and Infrastructure-as-Code (Serverless Framework, SAM, or equivalent); - 5+ years with SQL and NoSQL databases; able to design data models and optimize queries for performance and scale; - Proven track record in building and operating microservices, including CI/CD, automated testing, and deployments; - Demonstrated ability to own features end-to-end, drive improvements independently, and communicate clearly to technical and non-technical audiences; - Native Spanish; intermediate English. Requirements - Background or strong interest in platform engineering, AI agents/conversational systems, or model/agent orchestration tooling; - Hands-on with EKS/Kubernetes and advanced IaC (Terraform, CloudFormation, or Serverless Framework patterns); - Skilled in profiling, load testing, performance optimization of distributed systems, and cloud security practices; - Open-source contributions or technical leadership in developer communities. Benefits - At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. - We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. - By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Role Description Stanowisko: Embedded Engineer (yocto) Praca: zdalna Stawka Regular-Senior: b2b bez urlopu, do 190 PLN netto na godzinę Projekt: Urządzenie wojskowe / kontroler przemysłowy - Nowy projekt, nie utrzymanie - Spec od yocto - secure boot, encrypted boot, systemd - Portowanie platform na procesory przemysłowe - Zapewnienie wysokiego poziomu bezpieczeństwa i customizacji sprzętowej - Technologie: C/C++ 14/17, i.MX7 NXP, Linux, yocto Qualifications - Dobra znajomość C++ (14/17) - Background / dobre zrozumienie embedded (low level, mikrokontrolery) - Dobre zrozumienie i doświadczenie w RTOS/Linux (np. wielowątkowość, synchronizacja, scheduling, context switch) - Niekonfliktowy sposób pracy, zorientowanie na współpracę - Dobry angielski, natywny j. polski Company Description - Firma: IT, ok 40 osób - Branża: Automotive, Militaria - Zespół: zwinny, PL+Zagranica, do 8 osób razem z Partnerami firmy - Godziny pracy: elastyczne, brak 'core hours', polska strefa czasowa