Czy macie jakieś informacje na temat pracy w tej firmie? Jak wygląda atmosfera? Czy wynagrodzenie jest dobre? Czy są jakieś benefity? Jakie są warunki pracy? Z góry dzięki!
Brak treści. Ta firma nie uzupełniła zakładki “O firmie”.
Rekrutacje prowadzone przez firmę:
Wszystkie (31)Aktualne ( 0 )Archiwalne ( 31 )
Sales Development Representative
Kaczyniec 9, Gliwice
Wygasła: 11.05.2024
pełny etat
umowa o pracę
umowa zlecenie
kontrakt B2B
praca hybrydowa
specjalista (Mid / Regular)
Obowiązki:
Prospecting & Pipeline Building: Identify and qualify leads through research, networking, and cold outreach. Develop a robust pipeline that fuels our sales engine
Relationship Champion: Build strong connections with potential clients, becoming their trusted advisor and understanding their unique needs
Solution Architect: Collaborate with cross-functional teams to craft compelling proposals and negotiate contracts that deliver customized solutions
Sales Process Master: Manage the entire sales cycle in partnership with marketing, ensuring a smooth and efficient customer journey
Data-Driven Optimization: Analyze sales performance data and identify opportunities to improve processes. Stay abreast of industry trends and SaaS advancements
Strategic Insights: Provide valuable updates to leadership on market conditions, competitor landscape, and sales performance
Software Development: Collaborate with the project team to design, develop, and maintain Go-based software solutions for data management and monitoring in Apache Kafka
Kubernetes and Docker: Utilize your expertise in Kubernetes and Docker to orchestrate and containerize the applications, ensuring scalability and reliability
Scala (Nice to Have): While not mandatory, familiarity with Scala is considered a valuable skill, as it can enhance your ability to work with various components of the project
Database Expertise: Work with RDBMS databases and explore alternative storage solutions like Cassandra, MongoDB, and InfluxDB to optimize data storage and retrieval processes
Take part in all stages of the development process, from requirements gathering to implementation and testing
Work in multidisciplinary teams and collaborate closely with neighbouring disciplines, such as UX Designers, BackEnd Developers, DevOps, Product Managers
Participate in an Agile environment, with clear goals and fast releases
Take part in knowledge sharing sessions with the rest of the UI Engineers or in company-wide ones
Make use of the latest tools, libs and frameworks available in the Front-End space
Develop a multi-tenant cloud-native ecommerce solution with scale, resiliency and maintainability
Stay abreast of the latest advancements in AI and ML technologies to recommend and implement best practices
Help us direct processes and R&D (research and development) to meet the needs of our AI strategy
Understand company and customer challenges and how integrating AI capabilities can help lead to solutions
Support cross-functional teams in identifying and prioritising key areas of a partner’s business where AI solutions can drive significant business benefit
Collaborate with the rest of the engineering team to integrate AI/ML models into scalable and efficient software systems with a focus on automation capabilities
Work closely with stakeholders to understand business requirements and translate them into comprehensive AI/ML and automation solutions
Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Optimise and fine-tune models for performance improvements
Implement features/tools/new endpoints in Java
Create reactive microservices using the Java and Micronaut framework
Ensure that microservices are smoothly deployed into the cloud
Stay focused on new technologies and improve development skills constantly
Take part in all stages of the development process, from requirements gathering to implementation and testing
Work in multidisciplinary teams and collaborate closely with neighbouring disciplines, such as UX Designers, BackEnd Developers, DevOps, Product Managers
Participate in an Agile environment, with clear goals and fast releases
Take part in knowledge sharing sessions with the rest of the UI Engineers or in company-wide ones
Make use of the latest tools, libs and frameworks available in the Front-End space
Develop a multi-tenant cloud-native ecommerce solution with scale, resiliency and maintainability
Stay abreast of the latest advancements in AI and ML technologies to recommend and implement best practices
Help us direct processes and R&D (research and development) to meet the needs of our AI strategy
Understand company and customer challenges and how integrating AI capabilities can help lead to solutions
Support cross-functional teams in identifying and prioritising key areas of a partner’s business where AI solutions can drive significant business benefit
Collaborate with the rest of the engineering team to integrate AI/ML models into scalable and efficient software systems with a focus on automation capabilities
Work closely with stakeholders to understand business requirements and translate them into comprehensive AI/ML and automation solutions
Analyse and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Optimise and fine-tune models for performance improvements
Implement features/tools/new endpoints in Java
Create reactive microservices using the Java and Micronaut framework
Ensure that microservices are smoothly deployed into the cloud
Stay focused on new technologies and improve development skills constantly
Coaching and mentoring the existing Scrum Masters to extend their understanding and practice of agile ways of working. This contains joint preparation of meetings and workshops, attending these meetings and workshops, debriefing afterwards, and giving feedback about improvement possibilities
Share knowledge resources and background information about agile ways of working
Together with the Scrum Masters, train the project team and the involved / affected colleagues in both IT and business organization in agile basics, make them understand what agile is, how they can contribute to the success and why they profit from this way of working
Provide professional consulting to the Scrum Masters in how to set up the technical environment (Jira, Confluence or similar tools requested by the project team) and doing the set up of the technical environment when required
Coach and mentor the Scrum Masters and the project team in how to set up the ways of working and meeting structures for the project and the various streams within the project
Identifying impediments and dependencies, coaching and mentoring the organization in resolving them
Active participation in the Agile Coaching Chapter in the form of participating the weekly meeting and taking over the facilitation of the meeting occasionally
Software Development: Collaborate with the project team to design, develop, and maintain Go-based software solutions for data management and monitoring in Apache Kafka
Kubernetes and Docker: Utilize your expertise in Kubernetes and Docker to orchestrate and containerize the applications, ensuring scalability and reliability
Scala (Nice to Have): While not mandatory, familiarity with Scala is considered a valuable skill, as it can enhance your ability to work with various components of the project
Database Expertise: Work with RDBMS databases and explore alternative storage solutions like Cassandra, MongoDB, and InfluxDB to optimize data storage and retrieval processes
Champion testing as an integral part of the development process, driving the adoption of best practices and methodologies
Demonstrate proficiency in multiple programming languages, including Java, Scala, Typescript, JavaScript, Golang, or Python, adapting seamlessly to the needs of the project
Apply white-box and black-box testing techniques, including Branch coverage, Statement coverage, Equivalence Partitioning, Boundary Value Analysis, and Pairwise, and articulate their respective use cases
Implement and discuss various design patterns such as Page Object, Journey, Screenplay, and Mission, providing insights into their purposes and advantages, and effectively comparing their suitability for different scenarios
Utilize and have hands-on experience with test double tools like Mockito, ScalaMock, and WireMock to ensure comprehensive test coverage
Employ CI/CD tools such as GitHub Actions or Jenkins, demonstrating the ability to write pipeline-as-code to embed quality gates into different development stages
Leverage Docker and the testcontainers library to programmatically manage the lifecycle of test environments, ensuring consistency and reproducibility
Exhibit experience in designing and building custom tooling to fill gaps in the capabilities of popular testing tools, enhancing the overall testing effort
Act as the primary point of contact for all project-related communications
Develop strong relationships with customers and system integrators to ensure project success and address any issues arising during the project lifecycle
Assist customers and system integrators in defining the project scope, objectives, and deliverables
Coordinate with Emporix’s cross-functional teams, including Professional Services, Engineering, Support, and Sales
Develop project plans for Emporix Professional Services, including timelines and resource allocations
Communicate regularly with stakeholders (customers, system integrators, and Emporix) about project status, risks, and changes, and provide reports
Create best practice Emporix project management policies and procedures to be reused in future projects
Organize customer onboarding, training, and support in collaboration with the system integrator
Carry out periodic Emporix health checks to improve overall customer experience and success
Stay up-to-date on new trends and technologies relevant to eCommerce and SaaS platforms
Support the Emporix sales team with new opportunities
Collaborate with engineers embedded in our team to develop robust and efficient Kafka connectors using Kafka Connect
Design and implement solutions to facilitate smooth data flow and communication between different systems
b) Code Optimization - Continuously optimize and enhance Kafka-related code for improved performance and scalability
c) Troubleshooting and Debugging - Identify and address any issues related to Kafka integration, ensuring timely resolution of problems
d) Integration with Cloud Systems - Utilize expertise in public cloud systems (AWS/Azure/GCP) to seamlessly integrate Kafka into our environment
e) Collaboration - Work closely with cross-functional teams to understand system requirements and contribute to the development of comprehensive solutions
Collaborate with engineers embedded in our team to develop robust and efficient Kafka connectors using Kafka Connect
Design and implement solutions to facilitate smooth data flow and communication between different systems
b) Code Optimization - Continuously optimize and enhance Kafka-related code for improved performance and scalability
c) Troubleshooting and Debugging - Identify and address any issues related to Kafka integration, ensuring timely resolution of problems
d) Integration with Cloud Systems - Utilize expertise in public cloud systems (AWS/Azure/GCP) to seamlessly integrate Kafka into our environment
e) Collaboration - Work closely with cross-functional teams to understand system requirements and contribute to the development of comprehensive solutions
We are seeking an experienced Senior .Net Developer with expertise in .Net and its tools. The ideal candidate is communicative, with an advanced level of English (C1), and possesses the ability to collaborate effectively with British counterparts. The role involves a high degree of flexibility, including approximately the first 6 months of frequent travel to the UK. Telecommuting (TLA) capabilities are a prerequisite
od 28000 do 28000 PLN
Ogłoszenie Archiwalne
Ogłoszenie Archiwalne
Senior Java Developer
Kaczyniec 9, Gliwice
Wygasła: 27.12.2023
full-time
kontrakt B2B
home office work
hybrid work
senior specialist (Senior)
Obowiązki:
We are seeking an experienced Senior Java Developer with expertise in Java and its tools. The ideal candidate is communicative, with an advanced level of English (C1), and possesses the ability to collaborate effectively with British counterparts. The role involves a high degree of flexibility, including approximately the first 6 months of frequent travel to the UK. Telecommuting (TLA) capabilities are a prerequisite
od 28000 do 28000 PLN
Ogłoszenie Archiwalne
Ogłoszenie Archiwalne
Junior Python Developer
Kaczyniec 9, Gliwice
Wygasła: 09.12.2023
full-time
kontrakt B2B
home office work
hybrid work
junior specialist (Junior)
Obowiązki:
Collaborate with a dynamic team of developers to implement and enhance the automated marking platform
Contribute to the creation of curves, ensuring consistency and accuracy in the financial data
Utilize C# or Python programming skills to develop and maintain software components
Leverage AWS Cloud experience to optimize the platform’s performance and scalability
Apply knowledge of financial analyst processes to meet the project’s specific requirements
Work closely with traders to understand their needs and provide technical solutions
Ensure the platform meets high standards of security, efficiency, and reliability
Collaborate with team members to troubleshoot issues and implement improvements
Take part in all stages of the development process, from requirements gathering to implementation and testing
Work in multidisciplinary teams and collaborate closely with neighbouring disciplines, such as UX Designers, BackEnd Developers, DevOps, Product Managers
Participate in an Agile environment, with clear goals and fast releases
Take part in knowledge sharing sessions with the rest of the UI Engineers or in company-wide ones
Make use of the latest tools, libs and frameworks available in the Front-End space
Build, expand and maintain our Kubernetes-based infrastructure across different regions
Develop tooling and automation for operation processes such as cluster provisioning, application deployment, DNS management, Load balancer management, etc
Improve our monitoring and alerting stack to advance observability
Troubleshoot incidents, identify root causes and implement fixes
Improve build, deployment, and release pipelines to harden and speed up the processes
Software Development: Collaborate with the project team to design, develop, and maintain Go-based software solutions for data management and monitoring in Apache Kafka
Kubernetes and Docker: Utilize your expertise in Kubernetes and Docker to orchestrate and containerize the applications, ensuring scalability and reliability
Scala (Nice to Have): While not mandatory, familiarity with Scala is considered a valuable skill, as it can enhance your ability to work with various components of the project
Database Expertise: Work with RDBMS databases and explore alternative storage solutions like Cassandra, MongoDB, and InfluxDB to optimize data storage and retrieval processes
Collaborate with AI researchers and data scientists to understand data requirements for AI projects. Design and implement robust data architectures and pipelines to support data collection, storage, and processing needs
Identify, collect, and integrate diverse data sources, including structured and unstructured data, from both internal and external repositories. Ensure data quality and consistency throughout the data integration process
Develop data transformation and preprocessing pipelines to clean, normalize, and enrich data for AI model training and analysis. Handle large-scale data efficiently and effectively
Oversee and manage the information security program within our organisation
Collaborate with users to discuss computer data access needs, to identify security threats and violations, and to identify and recommend needed programming or process changes
Use data encryption, firewalls, and other appropriate security tools and applications to conceal and protect transfers of confidential digital information
Develop and implement plans to safeguard digital data from accidental or unauthorised modification, destruction, or disclosure; adhere to emergency data processing needs
Review violation of security procedures; provides training to ensure violations do not recur
Monitor and restrict access to sensitive, confidential, or other high-security data
Modify security files and applications as able and necessary to provide specialised access, allow new software to be installed or integrated, or correct errors
Perform risk assessments, audits, and tests to ensure proper functioning of data processing activities and security measures
Safeguards system security and improves overall server and network efficiency by training users and promoting security awareness
Determines when to update virus protection systems by monitoring current reports of computer viruses; facilitates or performs needed updates
Collaborate with AI researchers and data scientists to understand data requirements for AI projects. Design and implement robust data architectures and pipelines to support data collection, storage, and processing needs
Identify, collect, and integrate diverse data sources, including structured and unstructured data, from both internal and external repositories. Ensure data quality and consistency throughout the data integration process
Develop data transformation and preprocessing pipelines to clean, normalize, and enrich data for AI model training and analysis. Handle large-scale data efficiently and effectively
Pilnowanie i egzekwowanie ustalonych celów, oraz planowania działań długoterminowych
Przygotowywanie comiesięcznych podsumowań działalności restauracji oraz przedstawianie celów i założeń na następny miesiąc
Administracja, rozliczanie i kontrolowanie kosztów i przychodów restauracji
Budowanie pozytywnej atmosfery w zespole
Organizacja wydarzeń w restauracji w tematyce less waste, zrównoważony rozwój, kuchnia roślinna, oraz udział w wydarzeniach zewnętrznych (Targ na Zielonym, itp.)
Ciągłe doskonalenie oferty i wyglądu restauracji
Dbanie o atrakcyjność restauracji w social media i na stronie internetowe (Zwiększenie rozpoznawalności marki)
Bliską współpracę z Szefową Kuchni
Zarządzanie zespołem, rozmowy okresowe z pracownikami oraz regularne spotkania zespołowe, dbanie o rozwój pracowników
Optymalizacja i negocjacja kosztów zakupu produktów
Wspieranie idei less waste, oraz współpraca z lokalnymi dostawcami warzyw i owoców, dbanie o dobre relacje z nimi