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We are looking for a passionate Sr. Cloud Native Developer to join our leading security group and lead the development of our cloud services and orchestration solution.

If you are interested to work in a challenging environment, master versatile platforms, solve hard problems, and compelled to cyber security, we are the place for you.

Responsibilities:
Design and implement complex cloud services cloud management system.
Work with multiple engineering and research teams as a python backend and cloud services expert.
Deep dive to feature requirements and designs, implement efficient, scalable and performant components to meet top quality solution standards.

we are looking for a Senior Software Engineer
As Software Engineer for our Edgewise platform, you will:

Work with a group of talented engineers providing innovative solutions to Cellular Networks problems.

Design and implement complex algorithms.

Develop and maintain high-performance, scalable, and reliable software systems.

Collaborate with cross-functional teams to identify and solve complex software problems.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We're looking for a Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Backend Engineer, you will take part in developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Design, develop, test, deploy, maintain and improve the software.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're looking for a Senior Backend Engineer to join our R&D team. You will work closely with our product team to build our unique product offering. As a Senior Backend Engineer, you will be responsible for developing our data ingestion pipeline, introducing new analysis engines, and building complex backend designs that are both scalable and fault-tolerant.



What Youll Do:

Design, develop, test, deploy, maintain and improve the software.
Youll have your domain of expertise in which you'll assist the product team with future directions, lead the technology and cooperate with other engineers.
Youll develop backend services that integrate with and ingest data from various cloud providers that store sensitive data.
Youll build pipelines that analyze, classify, correlate and process this data.
Youll build systems that detect anomalies in the ingested data for alerting the customer, that automatically resolve issues and that generate sophisticated yet easily consumable insights arising from the processed data.
Youll have end-to-end responsibility from the technical design phase up to making sure the system is scalable and can meet high customer demands in production.
Youll identify and solve for bottlenecks within our software stack.
Youll bring innovation to the product
Youll work in an agile environment that focuses on high velocity and responds quickly to new insights.
As an all-around player, you'll work closely and at a high pace with other engineers, product, design, and other internal key stakeholders, as well as have a direct line of sight into how your work solves real-world problems for our clients and accelerates our business.

We're on the lookout for a QA Engineer to join our team and help shape the future of the shipping industry, particularly in the realm of autonomous ships.
At Orca AI, we're dedicated to advancing the maritime industry with intelligent navigation solutions that prevent collisions and save lives.
Our vision is to enhance safety in congested waterways and deep waters by reducing human-caused errors through intelligent automation.
Our technology empowers Captains and Officers on the bridge with real-time, accurate environmental data, enabling them to make critical decisions confidently. By harnessing AI and innovative tools alongside existing infrastructure, we're charting a new course in marine transportation.
Here's what you'll be responsible for:
Crafting test plans for a marine IoT device.
Investigating software issues through testing, covering Linux devices running Docker images and cloud services.
Developing and executing test automation scripts.
Collaborating closely with other QA engineers, software developers, and the product team to devise effective solutions.
Staying updated with the latest industry advancements.

We are looking for a Test Automation Engineer to join our team and to be part in creating the future of the shipping industry in the field of autonomous ships.
As a Test Automation Engineer, you will design and create Orca AIs automation testing solutions.
What will you do?
Design the automation infrastructure
Developing the automation testing solution
Create and run test automation scripts
Research issues in software through testing.
Collaborate with the QA team and with Software Developers to develop solutions.
Keep updated with the latest industry developments.

Our company is seeking a manual & automation QA with experience in software testing principles, technological skills, and knowledge of automation tools. professional who specializes in understanding software testing principles, with advanced knowledge and skills in technology, familiarity with automation and software tools usage.
The role includes responsibility for conducting manual tests in an Agile group, as well as automated tests include: script writing, bug investigation, and maintenance of automated processes.
Responsibilities:
- Performing extended manual tests in Salesforce CRM system.
- Writing automation scripts and functions, script execution responsibility, bug investigation, and maintenance.
- In-depth understanding of QA methodologies, testing principles, processes, and concepts.

As a Workato Specialist, you will play a vital role at Shift4. We are looking for an individual that can help us continually build, improve and enhance our business processes through automation.
You will work with others throughout the software development life cycle.
In this role, you should be a team player with a keen eye for detail and problem-solving skills. If you also have experience in Automation platforms, particularly Workato, wed like to meet you.
Responsibilities and Duties:
Implementing and developing new processes/features/systems/modifications
Testing, Debugging, and resolving production issues.
Read both business and technical requirement documents
Write solution
Contributing to technical documentation
3rd level Support

we are the first startup to offer an AI Agent for eCommerce customer service that is indistinguishable human agents. our agent handles retailers most complex customer service tickets end-to-end with unprecedented service quality, including exchanges of partial orders, changing shipping addresses, refunds, etc.As a backend developer on our team, you will be responsible for the server-side of our product. Ultimately, you should be able to develop and maintain functional and stable pipelines and web applications.
Responsibilities
Participate in the entire application lifecycle, focusing on coding and debugging
Write clean code that is easy to share with other developers, maintain, and test
Take a major part in defining aspects of development from appropriate technology and workflow to coding standards
Liaise with developers, designers, and customers to identify new features
Follow emerging technologies

Job Summary: Join Phone.do to push the boundaries of artificial intelligence in communication solutions. As an AI Developer, you will primarily focus on developing robust, scalable applications using Retrieval-Augmented Generation (RAG), enhancing Chain of Thought capabilities, and employing Genetic Algorithms to optimize our solutions. Key Responsibilities:
Develop and optimize Retrieval-Augmented Generation (RAG) models to enhance decision-making and content generation. Implement Chain of Thought processes to improve problem-solving and user interaction within AI-driven systems. Design and manage Knowledge Graphs, focusing on building and visualizing complex data structures that support AI functionalities. Employ Genetic Algorithms for optimizing decision trees.

We are growing and looking for a talented Data Analyst to join our product data team.
The Data Analyst will use analytical and technical skills together with strong business and product understanding to ensure the product fully and accurately utilizes the customers data, producing the best solution possible.
Responsibilities:
Work closely with other business and development units and lead the onboarding process of new customers, to deliver high-quality data-centered solutions.
Perform data modeling, wrangling, analysis, and mapping as part of the integration architecture.
Support and expand existing customer data integration solutions to accommodate product evolution in accordance with customer needs.
Guide customers to success by explaining data related subjects and resolving complex logical and business issues through professional discussions.

We are looking for a DevOps Engineer.
As a DevOps Engineer, you will be responsible for leading the infrastructure, security, and CI/CD process for our real-time life-saving ecosystem.
You will manage and support our AWS cloud infrastructure, research new tools and processes that will help us deliver better products and SLA.
As part of the team you will drive our journey towards streamlined and automated developer experience.
Heres what youll be working on:
You will be part of a DevOps team who will play a significant role in the definition and implementation of the AWS, Docker and Kubernetes platform strategy, HA/ DR, including architecture, design, roadmaps, and enabling various apps to adopt such technologies
Working in a collaborative culture with Dev and App owners.
Part of the job also includes resolving JIRA tickets in the areas of Cloud, CICD, deployments, monitoring, etc.
Willingness to challenge the status quo to bring new ideas and innovation to the team
Responsible for ongoing maintenance and support of internal tools, improving system health and reliability
Document and provide cross-training to peers for projects and products worked on
Ensure service uptimes to maintain the SLA-driven uptime.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

Do you want to be a Senior Data Engineer on an elite Data Science team? Do you want to build data solutions that power AI and Data Analytics of a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

Responsibilities:
Create and maintain robust Big Data pipelines for Analytics and ML systems.
Optimize performance of Big Data scripts and queries.
Create monitoring and reporting infrastructure.
Develop systems that facilitate Data Science activities such as Analytics and Feature Extraction.