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About the Lab
We managesthe software supply chain for 80% of the Fortune 100 - packages, container images, ML models, agent skills, MCP servers, and AI-generated code. The rules are changing fast, and we need someone who can build the next generation of tools to manage, govern, and secure it all.
Our CTO Lab is a small, senior team building what comes next. We sit across the entire platform - Artifactory, Xray, Curation, AppTrust, ML, AI Catalog, Fly, Runtime, Distribution - and our job is to figure out how AI changes all of it. We run focused experiments, prototype fast, demo often, and grow what works into products alongside our product and engineering groups.
This role has two modes. In Build mode, you'll work across the full breadth of the platform - from artifact management and security to ML lifecycle and developer experience. In Scout mode, you'll be our antenna - evaluating new AI frameworks as they drop, scanning for emerging patterns in agentic AI, supply chain attacks, and developer tooling, and feeding evidence into our strategic decisions.
As a CTO Lab Architect you will build:
AI-powered supply chain intelligence - LLM systems that reason over artifacts, dependencies, and release signals to move past static block/allow rules toward decisions a senior engineer would make.
Agent systems and governance - build and secure AI agents that operate against registries, pipelines, and deployment systems. Extend our controls to the AI artifact stack we ship today - MCP Registry, Agent Skills Registry, AI Catalog - and design the next generation of governance models.
AI woven across the platform - versioning, security, and provenance for AI artifacts, and capabilities that make developers faster wherever speed, trust, or judgment can be amplified.
Evaluation and measurement - benchmarks and pipelines that prove AI-powered approaches actually outperform traditional ones. Data beats opinions.
Technology scouting and signal analysis - evaluate new AI frameworks and security innovations as they emerge. Concise assessments of what's real, what's hype, and what it means for us.

our company seeks a Senior Architect 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, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a hands-on Architect, you will be defining, designing, and building advanced storage features and extensions to make the company platform differentiated in a broad set of use cases primarily in the HPC/AI fields. You will build proof of concept implementations and work closely with the R&D teams to deliver production-grade solutions.
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 workers who leverage their skills & experiences to make a real market impact.

Description
we are looking for a Python Expert 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 workers 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.
Work in a team of top-of-the-line software engineers, developing state-of-the-art management systems for Cloud solutions managing mission-critical enterprise-level data platforms.
our companys management on Cloud systems include:
A highly scalable platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
A cutting-edge AI-based cloud-operated SaaS.
Deploying our company OS in all major hyper-scalers cloud vendors.

We are looking for top-notch Developer Support Engineers, to be partners rather than just employees and be the technical focal point for our customers.
Besides a wild ride and a lot of learning, well leap your career forward!
As a Developer Support Engineer you will...
Troubleshoot and Investigate complex customers CI/CD scenarios and provide innovative solutions for their requirements
Develop scripts in Bash, Python, Groovy for debugging and automating
Set up our applications and 3rd party products in various development environments
Analyze log files, thread dumps, HTTP traffic, JVM and OS parameters
Reproduce customer scenarios and fill relevant bugs/features
Maintaining and improving a knowledge base of known issues and solutions
Integrate and collaborate with our R&D, QA, Release and Sales teams
Ability to work in flexible hours and weekends while needed.

The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
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 workers 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.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

we are looking for a Senior Infrastructure Developer 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 workers 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 a Senior Software 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 workers 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.

Required Professional Services DevOps Architect
Were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust us to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
If you love working with brilliant people, being part of an energetic team, changing the world of software and youve got the technical skills, you might be the perfect Frog to join our Swamp! Come and join the Professional Services team and help us to continue to lead the rapidly evolving space of DevOps and DevSecOps!
As a Post Sale DevOps Architect you will...
Responsible for the detailed design of our related projects from inception through production support and the creation of the customer statement of work (SOW) and detailed documentation
Ability to provide technical expertise and consultative advice during all stages of customer engagement
Ensure that the deliverable accurately meets the defined expectations of the customer
Coordinate and oversee functional implementation activities for internal and partner consultants, developers, and customer points of contact on large scale enterprise projects
Mentor PS and partner consultants providing guidance regarding Best Practices, communication, and implementation strategies including collateral in the form of documentation, delivery kits, and training materials
Liaise with and support of other functional groups within - including (but not limited to) training, SolEng, support, product, engineering
Develop case studies, presentations, design documentation, best-practice methodologies and internal process development
Stay up to date on new features, and fixes within the Quarterly product releases and disseminate key information to the PS team
Demonstrate progressive leadership in the full life cycle of the software development environment.

we are looking for a Senior Software 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 workers 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.
Work in a team of top-of-the-line software engineers, developing state-of-the-art company AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
our company on Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying our company OS in all major hyper-scalers cloud vendors.

We are looking for a talented R&D Team Leader to lead our Runtime development team. As a vital part of our mission to deliver end-to-end security solutions, you will build capabilities that connect the software supply chain to a real-world production context-protecting software where it actually runs. If you thrive in dynamic environments, take ownership of features from end to end, and want to guide a talented team without losing your technical edge - this is the role for you
As an R&D Team Leader, you will...
Lead and mentor a high-caliber team of 5-7 developers, working on large-scale, complex, and cutting-edge distributed systems in a hands-on capacity
Manage the delivery of multiple, complex, simultaneous development projects from design through to release
Ensure that risks and issues are identified and managed closely while driving all stakeholders to deliver on time and to the required quality standards
Make key decisions to ensure the right effort at the right opportunity for the successful implementation of all initiatives
Lead the strategy and execution of runtime security capabilities, turning customer needs into reliable, scalable features that improve visibility and incident response in live production environments
Champion practical AI adoption across the team-standardize code assistants, test/data generation, and CI/CD bots; define guardrails, workflows, and success metrics.

we are looking for a Senior Software Engineer -Data Path 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 workers 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 a Senior Software Engineer to join our innovative DataEngine Platform team. This role offers the opportunity to work on core infrastructure that powers AI-scale data platforms at a fast-growing company in the heart of the AI revolution.
We are seeking an exceptional engineer with deep expertise in Infrastructure as a Service (IaaS), strong knowledge of Kubernetes internals, and experience extending Kubernetes through CRDs and custom operators. You will design and build scalable infrastructure that delivers real value to customers.
Were looking for a collaborative team player and out-of-the-box thinker, passionate about building scalable software, with a can-do attitude and readiness to take on complex challenges.

we are looking for a Senior Software Engineer -Platform 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 workers 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 a Senior Software Engineer -Protocols 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 workers 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 Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.