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We are looking for a Windows platform expert with deep, hands-on scripting skills (PowerShell preferred) to own the security hardening, imaging, and deployment automation of the Windows environment underlying our FFRangio system.
You'll work at the intersection of low-level Windows internals (boot security, disk encryption, image management) and modern Windows virtualization and DevOps practices (CI/CD pipelines), helping us build a secure, locked down, and reliably reproducible Windows environment for a regulated medical device product.
You should be comfortable going deep - from BIOS settings and TPM chains up through image-building and pipeline automation - and who treats scripting as the primary tool for making security and deployment repeatable, auditable, and reliable, in service of a real clinical product used in the Cath lab.

Responsibilities may include the following and other duties may be assigned:
Design, implement, and maintain PowerShell-based automation for system configuration, hardening, and deployment of FFRangio Windows workstations.
Define and enforce BIOS/UEFI security settings and TPM-based trust chains (Secure Boot, measured boot, TPM attestation).
Implement and manage BitLocker and other Windows encryption mechanisms, including key management and recovery strategies.
Build and maintain Windows hardening baselines using Group Policy, AppLocker, custom Shell/UI restrictions, and Kiosk (Assigned Access) mode suited to a clinical, cath-lab environment.
Manage user/account permission models and least-privilege access schemes across managed devices.
Create, manipulate, and maintain VHD/VHDX-based images for deployment, recovery, and testing workflows.
Build and maintain CI/CD pipelines in Azure DevOps for automated build, test, and deployment of Windows images and configurations.
Collaborate with software, QA, and regulatory/quality teams to ensure hardening and deployment practices.
Document configurations, scripts, and processes for reproducibility and audit purposes, consistent with medical device quality system requirements.

We're looking for a Senior Security Engineer to own and elevate the security posture of our
cloud-native, AI-driven SaaS platform. Reporting to the Director of DevOps, you'll be the technical
anchor for security across our product, infrastructure, and organization - combining hands-on
engineering with the strategic judgment to translate risk into clear, actionable priorities.
This is a high-ownership role for someone who can operate end to end: threat modeling a new feature
in the morning, hardening cloud infrastructure in the afternoon, and briefing leadership on risk posture
by the end of the week. As we scale our platform and deepen our use of AI/ML, you'll define how we
build, ship, and operate securely - often standing up programs and controls that don't yet exist.
You'll work cross-functionally well beyond engineering, partnering with Customer Success, Marketing,
Finance, and Legal to make security a shared, business-aware practice rather than a gate at the end of
the line.

What You'll Do
Own the day-to-day security engineering function across cloud infrastructure, application, and data
layers.
Lead threat modeling, penetration testing, and vulnerability management across the product and
platform lifecycle.
Design, implement, and continuously improve cloud security controls across AWS, GCP, and/or
Azure environments.
Assess and secure our AI/ML systems, addressing the unique risks they introduce - from data
pipelines to model and LLM behavior.
Drive compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and
GDPR.
Embed security into the SDLC and CI/CD pipelines, partnering closely with DevOps and engineering
teams.
Translate technical risk into clear business and board-level language, and advise leadership on
prioritization and trade-offs.
Partner cross-functionally with non-engineering teams (Customer Success, Marketing, Finance,
Legal) to build security awareness and practical, low-friction controls.
Lead or support incident response, including detection, containment, remediation, and post-incident
review.

We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

What You Will Be Doing
Lead and grow a high-performing engineering organization responsible for our core product offering.
Define and execute the engineering strategy for our Kubernetes resource management platform, enabling DevOps teams worldwide to operate more efficiently.
Partner closely with Product, Design, and Go-to-Market leaders to translate business strategy into engineering execution.
Drive technical excellence, architectural direction, and engineering best practices across multiple teams.
Build, mentor, and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and continuous improvement.
Scale engineering processes, organizational structure, and delivery capabilities while maintaining a high bar for quality and execution.
Balance hands-on technical leadership with organizational leadership, making key architectural and strategic decisions when needed.
Create an environment where talented engineers can do their best work with a high degree of autonomy, accountability, and collaboration.

abra professional services is seeking a AI-Driven QA Automation Lead! Responsibilities:
* Leading the organizational transition to an Automation-First approach and implementing Quality Engineering practices and smart automation.
* End-to-end ownership of the quality strategy, including testing methodologies, quality gates, KPIs, and unified QA processes across all development teams.
* Managing the testing strategy throughout the entire Software Development Life Cycle (SDLC)—from DEV environments through QA, Staging, and Production—while ensuring consistent standards, risk management, and release readiness.
* Professional leadership, mentoring, and guidance of QA personnel in a matrix environment, including knowledge sharing and building organizational capabilities.
* Implementing and maintaining mobile automation infrastructure for iOS and Android using Cucumber / Gherkin, ensuring scalability, reliability, and compliance with organizational standards.
* Defining automation standards, code writing guidelines, and framework architectures, as well as optimizing performance and maintainability using advanced AI tools.
* Developing solutions for Test Data challenges within a banking environment and utilizing Mocks, Stubs, and Service Virtualization to minimize dependencies on unstable environments.
* Integrating automated test suites into Build and Release pipelines in VSTS / Azure DevOps, and defining quality gates and automated verification processes in CI/CD.

Were looking for an experienced Principal AI Architect to join and lead the architectural direction of our products.
In this role, youll define the companys architectural vision, establish engineering standards, and drive technical decisions across multiple R&D teams. Youll work closely with Engineering, Product, DevOps, AI, Security, and Data teams to build scalable, secure, and high-performing solutions while evaluating and adopting cutting-edge AI technologies.
This is a highly strategic and hands-on role, ideal for someone who enjoys solving complex technical challenges, mentoring engineering teams, and shaping the future of modern AI products.
Key Responsibilities:
Define and lead the architectural vision across the organization.
Design scalable, secure, and high-performance distributed systems.
Establish architecture standards, best practices, and technical guidelines across multiple engineering teams.
Design and lead enterprise authentication, authorization, SSO, Groups, Policies, and identity management solutions.
Architect advanced GenAI solutions, including RAG, Embeddings, Vector Databases, LLM integrations, AI Agents, Guardrails, and large-scale inference workloads.
Define reference architectures and engineering standards for deployment, monitoring, observability, reliability, and security.
Drive architectural decisions around scalability, performance, availability, security, and operational efficiency.
Own the architectural roadmap while balancing business value, operational costs (COGS), scalability, and long-term maintainability.
Lead Proofs of Concept (POCs) to evaluate emerging AI technologies, frameworks, and developer productivity tools.
Promote engineering excellence through CI/CD best practices, observability, monitoring, security, and compliance.
Collaborate closely with Engineering, Product, AI, DevOps, Security, Data teams, customers, and strategic partners.

We are looking for a Product Hybrid Engineer - a true Individual Builder who operates at the intersection of engineering, product, and design. You are not just here to implement tickets; you are here to challenge the roadmap, talk directly to customers, and drive innovation from ideation to production.

In this role, you will run fast on multiple high-impact projects, using AI to amplify your impact and speed. You will have the autonomy to make architectural and product decisions, moving with the speed and spirit of an entrepreneur within the company.

What youll do
Build End-to-End: You will not just build products; you will build the systems that power them. You will take concepts from a rough idea to a deployed, scalable production system autonomously.
Leverage AI to Move Fast: You will utilize the newest AI tools to accelerate your workflow, allowing you to focus on high-level architecture, complex problem-solving, and customer value rather than boilerplate coding.
Drive Product Innovation: You will work directly with customers to understand their pain points. You are expected to challenge Product Managers, Designers and Leadership, offering alternative solutions and driving ideation based on your technical and product insights.
Own the Architecture: While frameworks change, architecture persists. You will design robust systems that can scale, ensuring we arent just shipping quick and dirty prototypes but enterprise-grade software.
Operate with Autonomy: You will manage your own priorities and projects, navigating ambiguity without needing constant direction. You focus on outcomes, not output.

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

We're seeking a talented, experienced Software Engineer to join our Backend Engineering team - diving deep into Kubernetes and related technologies like Istio, Helm, and Prometheus, tackling daily engineering challenges, driving innovation in Kubernetes optimization, and working with cutting-edge tools and frameworks such as container orchestration, microservices architecture, and cloud-native applications.

Join a highly skilled team building our core product offering.
Build a world-class Kubernetes resource management platform to improve the productivity of DevOps teams across the world.
Gain a deep understanding of Kubernetes and container technologies.
Write extensive code in Go and develop deep expertise in Kubernetes internals.
Enjoy a high degree of autonomy and responsibility.

Were looking for a talented, ambitious, self driven developer with experience and knowledge in backend and frontend of vast web based systems. 5 years of experience.

Key Responsibilities:
Maintain, design and develop large scale cloud solutions that can handle millions of records per day.
Intensive hands-on work on the systems end to end flows.
Develop web app using popular web framework.

we are looking for a SecOps Detection & Response.
As a Security Operations Analyst, Detection & Response, you will help protect Aidocs cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring.

This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization respond quickly and effectively to security events.

You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of clinical AI platform.
Responsibilities:
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.

We're seeking a talented, experienced Frontend Engineer to join our Engineering team, tackling complex engineering challenges daily, improving our solutions, and driving innovation in Kubernetes optimization while working with cutting-edge technologies alongside major cloud providers such as AWS, GCP, and Azure.

Join a team of top-notch, skilled professionals building our core product offering
Build a world-class Kubernetes resource management platform that improves the productivity of DevOps teams across the world
Own the design and implementation of top-tier UI components, ensuring a smooth user experience
Enjoy a high degree of autonomy and responsibility
Make a high impact on the company's future, working on the core product while collaborating with top-tier engineers in a culture of innovation

As a Sr Product Manager for Cortex Cloud Application Security (CAS), you will be at the forefront of securing the development ecosystem from code to deployment. You will help design, build, and ship industry-defining products that facilitate "shift left" security operations. Your work will directly empower application security teams and developers to build more secure cloud applications by identifying and remediating risks across IaC, source code, open-source libraries, and CI/CD pipelines.
Key Responsibilities
Build and launch enterprise class products throughout the entire product lifecycle - collect customers' feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex cloud CAS and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launch
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases.

we are looking for Sales Development Representative
What You'll Be Doing:

Collaborate with the sales team to develop and execute strategies for opening new accounts
Identify companies that fit our Ideal Client Profile,
Create personalized messaging to generate interest
Schedule discovery calls for Account Executives
Outbound prospecting through email, phone calls, and social media to schedule meetings
Becoming an expert on how ScaleOps helps customers
Meticulously track and improve your outbound activity
Hitting daily KPIs for dials, meetings completed, and pipeline generated
Collaborate with team members to share and learn from best practices