we are on the lookout for a Director Of Infrastructure, one who lives and breathes DevOps & security principles and methodologies, with a developer and business objective mindset.
Role:
Lead, support, and mentor a group of four teams: DevOps, DevSecOps, SRE, and Infra. Currently overseeing 15 engineers, directly managing the team leads of the DevOps and DevSecOps teams, and providing both technical guidance and management leadership
Build a new Site Reliability Engineering (SRE) team that will be in charge of the health of the production environment. This team will be a central part of our production operations strategy, working hand in hand with our Operations team, DevOps, and R&D.
Build an R&D infrastructure team to develop and support applicative infrastructure components such as databases, web servers, logging mechanisms, and any other low-level infrastructure required by the R&D team to achieve their objectives.
Plan the team's roadmap to meet our business objective
Work closely with tech leads to define, design and implement infrastructure needs
Responsible for all DevOps and security areas: infrastructure and cloud environments, CI/CD, observability, SAST, SCA, SSDLC and Cloud Security
Lead a developer/development experience culture make developers more efficient and productive by addressing their pain points, ensuring the reusability of tools among all development teams, maintaining consistent standards for testing and monitoring, and continuously improving developer tools.
Accountable for the architecture and technical leadership of the complete DevOps infrastructure and stack
Implement and maintain security best practices and standards, leading the security issue remediation process as part of the integration with Mastercard
Oversee DevOps tasks, perform code reviews and provide development assistance
Optimize operation efforts and adopt new tools
Design, implement, and continually improve everything the team does to accelerate performance and efficiency
Serve as an escalation point for the team and other stakeholders within the organization
Collaborate closely with stakeholders in designing, implementing, and troubleshooting production services
Recruit new candidates for the team and retain talents

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team , your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data.
Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.
Responsibilities:
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust backend solutions. Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

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 are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

We are seeking an experienced DevOps Team Leader to head our DevOps team as part of our Platform and DevOps Engineering group.
As a DevOps Team Leader, you will be responsible for overseeing the design, development, and deployment of our sophisticated DevOps solutions across cloud and on-premises environments.
This role involves leading a team of DevOps engineers, driving best practices in code, architecture, and infrastructure management while ensuring high availability and optimal performance of our services.
Responsibilities:
Lead and mentor a team of DevOps engineers in building and maintaining the best solutions for our production platform.
Champion an 'Everything as Code' approach: manage our infrastructure using a wide range of technologies including Ansible, Terraform, and Kubernetes.
Oversee the creation and maintenance of tools for automation, deployment, monitoring, and operations.
Drive troubleshooting and resolution of issues in our development, production, and test environments.
Foster a culture of excellent communication, collaboration, and innovation within the team.
Ensure continuous professional development and upskilling of team members to keep pace with technological advancements.

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

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 seeking a passionate Full-Stack Engineer whos eager to become one of our awesome R&D team.
You will be working closely with the CTO and engage regularly with VOOM's superb product, marketing, and data science teams.

Our Technological Stack
C#, React, Python, React-Native, .Net Core

The ideal candidate
Strong interpersonal skills with the ability to work effectively in a team
A team player with a positive, can-do attitude
Adaptable and able to thrive in a fast-paced and dynamic work environment

We are looking for a Senior DevOps Cloud Engineer.
This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW!
You will take part in Developing, maintaining, and optimizing our products and their production environments.
Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution.
Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.
RESPONSIBILITIES:
What kind of things we do?
Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement.
Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes.
Provide guidance to development teams to improve performance and operability of the solutions they develop.
Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality.
Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently.
Ensure that systems meet business and customer needs for reliability and availability.
Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution.
Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.