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Join us, Protect the entire API lifecycle with full discovery, real-time visibility, intelligent threat detection.and continuously uncover shadow APIs, audit vulnerabilities, and stop attacks before they start.
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As a Senior C++ Engineer you will help us build a world class scalable backend platform. You will be responsible for the end-to-end feature lifecycle. You will take ownership for design and architecture, through to implementing, testing and releasing the feature
As a Senior C++ Engineer you will be responsible for:
Building a world class scalable backend platform to ensure a robust, stable and high-performing environment
Writing reliable, efficient, secure, and scalable code
Coding in C++ and Python as the main languages
Collaborating with different engineering teams, product teams, and operations while developing one of the most central components of theproduct

Were looking for a talented and experienced DevOps Engineer to join our growing technology team! If youre passionate about automation, cloud infrastructure, and complex on-prem environments - wed love to meet you.

Responsibilities:

* Design, build, and maintain CI/CD pipelines
* Manage and monitor hybrid infrastructures - both cloud (AWS / Azure) and on-prem environments
* Implement infrastructure-as-code and automation processes
* Ensure smooth deployments and reliable system operations in secured, mission-critical environments
* Collaborate closely with development, infrastructure, and security teams
* Drive initiatives to improve system reliability, scalability, and security
* Participate in overseas installations and on-site integrations when required

Were looking for a Backend Engineer to join our growing R&D team and take an active role in building and scaling core components of our product.

Your Chain of Impact:

Spearhead feature development from requirements to delivery.
Participate in all phases of the software development lifecycle within an agile framework.
Stay abreast of emerging technologies to keep our solutions cutting-edge.
Maintain high standards for code quality, scalability, readability, and performance.
Take ownership of the product, tech stack, and development processes.

As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly skilled engineer who can design and deliver scalable backend services, craft intuitive frontend features, integrate AI-driven capabilities, and help architect robust systems that power the next generation of intelligent financial tools. This role is ideal for a proactive, collaborative developer who thrives in a high-impact environment and enjoys solving complex engineering challenges.

Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth.
Build frontend features with modern frameworks (e.g., React) and deliver intuitive, user-centric interfaces aligned with business and product goals.
Integrate Large Language Models (LLMs) into core systems using prompt engineering techniques to enhance AI-driven capabilities.
Drive technical design discussions and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.

Were looking for a visionary, technically grounded, hands-on practitioner to help us explore, shape, and represent the future of AI agent trust. You will develop a deep understanding of how autonomous and agentic systems are built and used in the real world, and help internal teams and the broader ecosystem reason about how agents can be trusted, governed, and safely deployed.

You will report to the CPO, work closely with the CTO, and partner across product, engineering, research and data teams. This role sits at the intersection of emerging agent technologies, product strategy, hands-on technical exploration, and external thought leadership.

What Youll Do:

Research & Ecosystem Insight

Stay current on agentic systems and autonomous architectures, with a focus on how agentic interactions are enabled across the open web.
Analyze how AI agents are designed, deployed, and integrated across industries and use cases.
Track trends, standards, and shifts in agent architectures, behaviors, and interaction patterns.
Develop models and approaches to profile, classify, and assess agentic interactions.
Technical Exploration & Prototyping

Build lightweight prototypes or proofs-of-concept to validate ideas and assumptions.
Evaluate third-party frameworks, tools, and integration approaches.
Translate emerging concepts into clear technical direction, architectures, or requirements.
Product Enablement

Advise product teams as they explore and productize agent-trust solutions.
Help reason about agent behavior, system boundaries, reliability, and safe operation.
Act as a bridge between research, product, engineering, and data.
Thought Leadership

Represent the company on topics related to AI agents, autonomy, and trust.
Contribute to blogs, whitepapers, talks, or industry discussions that shape how the market thinks about agentic systems.
Engage with partners, customers, and the broader ecosystem to share insights and learn from real-world feedback.
Help position the company as a credible, forward-looking voice in AI-agent trust.
Communication & Collaboration

Communicate complex ideas clearly through documentation, presentations, and discussions.
Build shared language and understanding around agentic systems across the organization.
Collaborate effectively in a fast-moving, cross-functional environment.

We are looking for a talented Senior Backend Engineer.

What Youll Do:

Design and Architect Distributed Systems: Lead the design of resilient, event-driven architectures and scalable microservices.
Navigate Real-Time Pipelines: Contribute across the full real-time data pipeline, ensuring high performance and reliability.
Drive Technical Excellence: Lead architectural discussions, make critical technical decisions, and own features from initial design through to production.
AI-First Development: Leverage and champion GenAI tools (specifically Cursor) to accelerate development and multiply team productivity.
Mentor and Enable: Teach and guide teammates on advanced system design, architectural patterns, and AI-assisted development practices.

We are looking for a highly motivated Senior DevOps Engineer.

Responsibilities:

Infrastructure & Platform Engineering

Cloud Architecture: Design and operate high-scale, production-grade infrastructure primarily on GCP (leveraging GCE, Cloud SQL, and networking).
Kubernetes Mastery: Own the lifecycle of GKE clusters, including advanced networking, security hardening, and scaling strategies.
IaC & Automation: Architect modular infrastructure using Terraform or Pulumi and manage deployments via Helm.
Data & Messaging: Support high-throughput data platforms, including Databricks, Confluent Kafka, and RabbitMQ.
Continuous Delivery & GitOps

GitOps Excellence: Standardize deployments using ArgoCD for automated, declarative environment synchronization.
CI/CD Innovation: Build and optimize GitHub Actions workflows to minimize lead time for changes.
Developer Enablement: Reduce friction by building internal scripts and automation in Python and Bash that empower dev teams.
Reliability & AI Integration

AI-Augmented Workflow: Integrate AI tools (Copilot, ChatGPT, Claude) into the daily DevOps lifecycle to accelerate scripting, complex troubleshooting, and documentation.
Observability: Monitor system health with VictoriaMetrics and Datadog to ensure actionable alerting and high visibility.
Incident Response: Participate in on-call rotations, maintain runbooks, and drive blameless postmortems.

We are looking for a motivated and creative software Engineer to join our team in building automated test equipment for medical product production. This position focuses on Python programming and hardware interface development, contributing to reliable and efficient testing systems in a regulated environment.
Key Responsibilities
In this role, you will
Develop and maintain software for automated test equipment with hardware integration.
Collaborate with senior engineers and cross-functional teams to implement robust solutions.
Learn and apply new technologies to improve testing processes.
Write clean, maintainable, and well-documented code.
Participate in code reviews and continuous improvement initiatives.

we are looking for a Software Engineer Team Leader.
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

We seek an experienced technical leader to lead our MLOps Engineering Team Leader

In this role, you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines. This role combines technical expertise in machine learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.

A day in the life and how youll make an impact:

Build, recruit, and lead a team of backend engineers.
Architect and implement enterprise-scale MLOps infrastructure
Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
Design and optimize model-serving architectures
Ensure high availability and scalability of ML systems
Collaborate with Algorithm Engineers to deliver innovative solutions.
Partner with product teams to align ML solutions with business objectives
Communicate technical plans and progress to stakeholders
Establish and enforce MLOps standards and best practices

If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities.
Job Description:
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.
As the Product Owner, you will define and deliver the vision, roadmap, and execution of core platform capabilities. You will work closely with the R&D team, architecture, security, and stakeholders across the organization to ensure the platform aligns with technical and business needs, balancing deep engineering context with user impact.
This is a rare opportunity to help shape a new security infrastructure layer from the ground up - in a team with startup agility and the backing of a mature organization. Youll play a pivotal role in shaping how AI agents operate safely and effectively across real-world enterprise environments.
Responsibilities
Work closely with the Product Manager to understand customer needs, technical constraints, and business context deeply.
Translate high-level product requirements into clear, actionable epics, user stories, and functional specifications for the R&D team.
Create and maintain detailed functional documentation that guides engineering, architecture, and QA throughout development.
Own and manage the product backlog, ensuring clarity, prioritization, and alignment with roadmap objectives.
Collaborate daily with R&D to support sprint planning, refinement, and high-quality delivery.
Align with architecture and security teams to ensure product capabilities meet enterprise-grade security, scalability, and interoperability requirements.
Assist in defining and validating use cases related to agent identity, secrets access, delegation, and orchestration logic.
Foster continuous feedback loops between stakeholders and technical teams to ensure rapid iteration and value delivery.

We are seeking an experienced Data Engineer with a strong background in BI and Data Engineering, excellent problem-solving skills, and the ability to work independently and learn quickly.
Role Overview
You will join a dynamic team responsible for designing and implementing end-to-end data solutions on the Microsoft Fabric platform. This role involves:
Building and maintaining robust data processes.
Driving adoption of new technology within the organization.
Ensuring scalability, performance, and reliability of data solutions.

Responsibilities:
Collaborate with leaders, stakeholders, and product managers to understand data requirements and deliver effective BI solutions.
Design, develop and maintain robust data pipelines for efficient data ingestion, processing, and storage.
Optimize data storage and retrieval processes for optimal performance.
Monitor data pipelines and systems consistently to identify performance issues, ensuring timely maintenance and troubleshooting.
Create and maintain documentation of data processes and systems.

Our SW group is looking for a strong backend software developer to join our team and work on complex, high-performance software systems in a highly technical environment.
In this role, you will be part of a multidisciplinary team developing backend and server-side software that interacts closely with hardware components such as motion controllers, sensors, cameras, and embedded or field devices. The work involves deep technical challenges, system-level thinking, and close collaboration across engineering, product, and quality teams.
This role is ideal for a backend engineer with strong analytical thinking, solid object-oriented design skills, and a genuine passion for building robust, scalable systems at the intersection of software and hardware.
Responsibilities
What you will be doing:
Design and develop backend and server-side software components
Implement complex software features end-to-end, meeting high quality and reliability standards
Contribute to system architecture, technical design, and key engineering decisions
Investigate and resolve production-level issues using strong debugging and analytical skills
Work closely with developers, QA, Product, and other cross-functional stakeholders
Take ownership of tasks, deliver independently, and help drive engineering excellence and best practices.

At our company, we are reinventing Identity Security and Identity Governance. Join us to build a world-class solution with a simple and intuitive user experience that stands apart from the complex products in the IT & Security space.
The connector team is responsible for delivering on the mission that our company IGA can connect to anything. Connectors are the foundation of all modern IGA programs. Customers have hundreds of different applications in their environment with a daunting amount of complexity. Design the integration approach between the on-prem applications and the IGA cloud service. Our platform handles this complexity to support hundreds of out of the box connectors for SaaS applications, on-prem applications and custom applications. Join the connector team to execute connectors at scale and help customers build connectors at scale by leveraging no-code, low-code and AI based vibe-coding.
We are looking for engineering manager who thinks creatively and is great at execution to lead a full-stack engineering team.
As an engineering manager, you will take a major role in expanding IGA to the large enterprise scale and lead, mentor, and build a team that will take one of the core activities of IGA.