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The primary purpose of the position is to work closely with customers, and sales team to manage the technical engagement that supports sales campaigns and drive the adoption of software tools.

Responsibilities -

To develop close relationships with customers to be able to assess their technical requirements and the options/ability for Calibre solutions to develop and implement technical sales plans. This may be through proactive telephone contact, delivery of presentations and demonstrations, articulating product value statements, and engagement in technical benchmarks and evaluations.
To drive products into customer projects to ensure adoption by creating methodology and flows; this may include infrastructure and integration into a customers environment and the identification of pilot projects for tool use and the debugging and bring-up of new methodologies and flows.
To uncover or qualify new opportunities, the technical viability of a lead and communicate the opportunity clearly to the sales team. Use this information to establish success criteria for technical engagements that effectively position of strength.
To provide technical leadership on all aspects of a sales campaign with the aim of contributing to account/area technical business plans.
To share, in a proactive manner, account, evaluation, competitor, technology and other useful information with peers, sales teams, management and product divisions to help us to compete more effectively.
To actively participate in out-bound marketing such as trade shows, workshops, seminars, webcasts.

We are looking for a Data Engineer.
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Monitor and optimize our (teams) cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

Come Join us as a member of the Technical Support Team , where you will take part in facilitating and managing technical support and monitoring.
Main Responsibilities:
Being part of our customer facing team responsible for technical support and troubleshooting
Working in a 24/7 support hours' shifts
Gathering detailed technical information as needed and investigating issues to solve problems, evaluate and escalate priority issues as needed.
Spotting common trends and underlying problems
Providing reliable resolution of critical and high impact problems for customers
Updating self-help documents so customers/employees can try to fix problems themselves
Working closely with our developers and technical teams to solve customers problems efficiently and improve our product
Creatively suggest and build software work-around solutions, including occasional scripting/ coding and customizations
Part and full-time/ weekends position available

we are looking for a Performance Solution Architect to work with our globally distributed engineering team on internet-scale data lake analytics platform. This is our flagship product and offers incredible value-add on the already stellar performance of the open-source Trino software. This role provides you with the opportunity to directly contribute to the enhancement of performance. The role entails conducting performance analysis and comparing existing in-market solutions, formulating a comprehensive strategy for performance testing, analyzing the results, and offering appropriate recommendations for enhancing.

As a Data Performance Engineer
Be an expert in architecture and performance approaches
Partner closely with sales engineers, solutions, support, and engineering teams to deliver guidance on performance issues at any phase in the product life cycle.
Maintain a profound understanding of current market solutions and devise instrumentation and approaches for comparing them with the solution, paving the way for future enhancements to .
Collaborate with Product Management and Solution architects to continuously improve performance and eco-system roadmaps.

As a Senior Software Engineer - Cloud Infrastructure (CI/CD, DevOps) you will:
Be an expert in architecture and cloud infrastructure approaches
Ensure the reliability and scalability of the Warp Speed Galaxy infrastructure
Youll own the APIs for provisioning and upgrading cloud infrastructure across AWS, Azure & GCP
Youll own everything from continuous delivery to the tooling to provision and maintain developer environments
Partner closely with engineers and engineering teams to deliver guidance on cloud infrastructure issues at any phase in the product life cycle.
Improve software development workflows for engineering and operational efficiency.

Required LOW LEVEL ENGINEER 
What youll be doing
Full project ownership for critical parts of the core products; design and specification, implementation, communication, test plans and delivery.
Develop and maintain the main logic and capability that is running directly on the IOT edge devices.
Liaise with colleagues in engineering, product managers to help prioritize features and define the product roadmap.
Uphold engineering best practices applied across projects and teams.
Mentor and level up fellow teammates with pairing and code reviews.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

Lead the design, implementation, and ongoing management of our company's data pipeline architecture.
Lead team architectural discussions
Manage a team of 2-3 data engineers
Work as an integral part of the data team and work closely with data Scientists, data Analysts and data Engineers.
Work directly with others (Developers, Product, and Internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed.

We are seeking a highly skilled and experienced Senior backend Engineer to join our team. As a Senior backend Engineer, you will be responsible for writing backend code, collaborating closely with the product team to address technical challenges, and improving the product based on data -driven insights. You will play a key role in building the architecture, design, and development of a complex system. Additionally, you will be responsible for validating software functionality, ensuring security measures, and optimizing performance. If you are a self-motivated individual with a passion for coding and a strong background in backend development, we would love to hear from you.
Job Responsibilities:
* Develop and implement backend code, actively engaging in hands-on coding.
* Collaborate closely with the product team to address technical challenges and enhance the product based on data -driven insights.
* Contribute to the design, architecture, and development of a sophisticated system.
* Prioritize and execute tasks throughout the software development life cycle.
* Verify software functionality, ensure security measures, and optimize performance.
* Take ownership of open-source libraries, identifying vulnerabilities and ensuring proper licensing.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

We are seeking a Senior DevOps Engineer to join our team.
As a DevOps Engineer and lead the effort in designing, building, deploying and maintaining our companys infrastructure, deployment pipelines, and continuous integration/delivery workflows.
You will work closely with development teams to ensure efficient and reliable software delivery, as well as identify and implement improvements to our systems and processes.
Responsibilities:
Design, implement, and maintain highly available and scalable infrastructure on cloud platforms such as AWS, Azure, or GCP.
Build and maintain deployment pipelines
Design and implement data pipelines to support various data processing needs across the organization.
Work closely with development teams to ensure code is deployed efficiently and reliably while maintaining high standards of security and performance.
Identify and implement improvements to our systems and processes, including automation and monitoring solutions.
Troubleshoot and resolve issues related to infrastructure and deployments.
Collaborate with cross-functional teams to ensure seamless integration of new features and technologies.

We are seeking for a Senior Endpoint Engineer Tech Lead to join our team and lead the effort in Endpoint Sensor development.
As Technical Leader you will be heading the activity of designing, implementing, and maintaining our endpoint sensor (Agent) software offering across all supported operating systems, as well as their accompanying APIs, supporting ever growing scale and collecting data in highly challenging deployments.
You will work closely with other sensor and analysis teams to ensure efficient and reliable data flow, overcoming complexity and implementing highly requested customer features.
Responsibilities:
Lead other senior developers developing endpoint sensors, ensuring high coding standards (testing, maintainability), process adherence (sprint planning, documentation) and overall low footprint and high performance.
Design, implement, and maintain endpoint sensors on Windows, MacOS and several Linux distros, as well as their corresponding installation process and shared APIs.
Identify and implement improvements to our systems and processes, from business logic, through the addition of data sources to monitoring.
Troubleshoot and resolve issues related to sensor-endpoint deployment in various operating systems.
Work closely with other development teams to define APIs and Schema to ensure data reliability, availability, and correctness across the system.

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.