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We are looking for a Backend Developer Python.
As a Backend Developer, you will:
Research, design and develop innovative solutions
Develop ever-changing backend infrastructure
Interact with cutting-edge technologies and services
Deliver E2E solutions

we are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer,
You will be building pipelines on top of the company Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless company ronauts who leverage their skills & experiences to make a real market impact.

Want to make an instant impact?
Be a part of the top cyber research teams in the industry and make the world a better place!
As a Vulnerability Researcher, you will be:
Work with top-notch researchers using the latest technologies
Research low-level mechanisms, finding vulnerabilities and circumventing modern mitigation techniques

we are looking for a Hardware System Engineer to join our growing team!
This is a great opportunity to be part of the fastest-growing infrastructure company in history. we are revolutionizing data storage solutions with its Universal Storage platform, designed to simplify AI and enterprise infrastructure.
In this role, you will be responsible for qualifying hardware components such as servers, JBOFs, SSDs, network cards, switches, and optical transceivers. You will write requirement documents for new features, work with vendors on implementation and debugging, and transfer knowledge to internal teams, including software developers, QA, support, and manufacturing. Additionally, you will become the subject matter expert for specific hardware platforms and technologies. Join us and contribute to shaping the future of data management while being part of a fast-growing, innovative company.

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform

Develop and optimize data infrastructure to support real-time analytics and reporting

Implement data governance, security, and privacy controls to ensure data quality and compliance

Create and maintain documentation for data platforms and processes

Collaborate with data scientists and analysts to deliver actionable insights to our customers

Troubleshoot and resolve data infrastructure issues efficiently

Monitor system performance and implement optimizations

Stay current with emerging technologies and implement innovative solutions

we are looking for a Infrastructure Team Leader to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for experienced developers to join its core architecture and platform group. The architecture group researches, designs, and implements the building blocks upon which the product is built and executed. This includes. among many other things, the application infrastructure for our different services and our data ingestion architecture.

You will be responsible for

The most fundamental components of our system, whether it is the cloud infrastructure or the different common software solutions used by developers

Developing system-wide solutions to be used by the product development teams

Developing scalable long-term solutions

Detecting opportunities to improve R&D efficiency and the reliability of our systems by improving and expanding the common infrastructure of our product

Researching new technologies and solutions with the potential to be incorporated into our product

We're seeking an outstanding and passionate Software Engineering Manager to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping team and technology at the forefront of Fintech and AI.

What you'll do:

Manage a product engineering team delivering customer value at scale

Lead and mentor a team of talented and experienced engineers

Own a material part of the system - its vision, delivery, and business impact

Be a key player in the product engineering leadership, shaping our culture and standards as we grow rapidly

Liaise with product managers, designers, and peer development teams to deliver high-quality capabilities to our customers

Experiment with and explore new technologies, tools, and methodologies to deliver state-of-the-art technology solutions to the market

we are looking for a Product Security Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Responsibilities
Implement and maintain security controls for applications and systems.
Conduct DAST, SAST, vulnerability scans, and penetration tests.
Develop and enforce security policies and best practices.
Monitor logs, investigate incidents, and respond to threats.
Collaborate with development teams to ensure secure coding practices.
Stay updated on emerging threats and industry standards.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

we are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

were looking for a unique kind of engineer.
This is not a classic SRE role. Its for someone who lives at the intersection of software, systems, and physical operationswho can guide complex deployments remotely, troubleshoot bizarre edge cases in live environments, and build the automation and structure that make all of it repeatable at scale.
As part of the Ops Technology team, youll take charge of deploying our system in live stores, working closely with customer technology teams and 3rd-party integrators. Youll monitor installations, debug weirdness from afar, guide teams through configuration and calibration, and evolve the tooling that makes it all work across hundreds of diverse store environments.
In this role, youll not only operationalize deployments at scaleyoull gain a deep understanding of core algorithms and engineering stack to ensure every store performs at its best. Your work will help bridge the gap between code and real-world execution, turning complexity into repeatable success.
A day in the life:
Oversee and drive deployments of system in stores around the worldremotely, reliably, and at scale
Guide and support customer tech teams and 3rd-party integrators during store setups (camera calibration, product database uploads, system configurations, etc.)
Debug and resolve real-world failures that arise when software meets physical retail complexity
Design and refine deployment tools and pipelines that support rapid, scalable, and low-touch installs
Collaborate cross-functionally with R&D, product, and field teams to harden the system against operational variance
Act as Tier 2/3 technical escalation, stepping in when deployment blockers need hands-on attention
Build documentation, processes, and field guides to enable integrators and client teams to succeed

were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of most strategic teams.
A day in the life:
Design and build the software deployment framework that powers in-store systems at scale
Lead remote deployments using Octopus Deploy, driving repeatability and automation
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, environments, services, and infrastructure
Collaborate with System Engineering and SRE peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.