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as a senior QA professional, you will be collaborating with a saas development team, that use the latest technologies in continuous delivery to secure the top enterprises in the world.
gain a deep understanding of the product's functionality, target use cases, and the value it provides to customers.
serves as the senior QA professional in the r&d team
commit to the quality of all released content
take an active role in process inspection and continuous improvement
actively track team tasks, analyze testing needs, and define QA activities and ownership
plan, define, and execute tests as part of team QA related activities
analyze and challenge existing testing coverage, both manual and automated
create TEST plans to determine the steps needed to increase confidence in product quality
monitor the TEST and production environments, using DevOps tools assimilate appropriate QA activities within every step of the sdlc
define, implement, and manage QA processes, including TEST plans and procedures
actively participate in feature testing during development to ensure adherence to specifications and quality standards
efficiently analyze logs and reproduce customer issues for quick resolution
maintain and prioritize open issues and bugs to ensure effective tracking and resolution
monitor TEST and production environments using DevOps tools and methodologies.
design and execute automated tests, manage TEST environments, and develop tools to improve testing efficiency and coverage. qualifications
at least 5 years of experience in QA roles, deep understanding of QA methodologies
proven experience in system analysis and excellent business requirements understanding
experience in TEST design and execution for complex systems (manual and automated)
proficiency in analyzing rest api interactions originating from UI workflows
broad understanding of complex product solutions (business, technical, architecture)
demonstrated ability to design and write new tests for system -level scenarios
proven experience with saas product sdlc, preferably on aws
comprehensive experience working in an agile development process
proactive mindset and a passion for excellence and continuous improvement
curiosity and self-learning skills; ability to collaborate cross-functionally
soft skills:excellent time management and ability to deliver high-quality results on schedule
proactive by nature; internal drive for excellence and improvement
team player
ability to work alone
capability to manage task priority effectively fluent english security testing background
experience in performance, and scale tests
experience in datadog and production monitoring
experience with aws
experience with sdlc of saas products
experience with Linux and ssh
hands-on experience with automated testing tools
experience in writing of automation tests
knowledge in Python

looking for an experienced staff software engineer for our new authentication service. you will be responsible for building this core saas service, built on-top of aws using.net, eks, terraform and other cloud technologies. you will be working with an elite team to produce top-notch services at the highest standards, meeting the high security, stability, and performance standards of the largest enterprises in the world. qualifications
solid experience leading the design, development and delivery of features in saas applications
design and implement the infrastructure of the service
bachelors degree in Computer Science or engineering related field/technology elite unit alumni with relevant experience
7+ years of experience with aws
7+ years of experience in.net core
desire to use new technologies and understand them depth-in
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
autodidact, like to learn new things and share with the team
excellent ability to meet deadlines, while consistently striving for high-quality and efficient solutions good knowledge in containers and container orchestration
experience with development in cloud/saas environment (aws serverless architecture/eks is a definite advantage)
solid understanding of security and high scale best practices
experience with modern ci/cd tools, in particular, github, jenkins, and artifactory
deep understanding of various authentication protocols

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
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 and user identity tailored to the modern agent ecosystem.
as a staff engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
this is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of ai, identity, and security.
responsibilities
own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management, shaping architectures that span multiple services and teams while balancing scalability, reliability, and security. lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs. proactively identify critical technical problems or gaps, and drive solutions from concept through delivery. establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence. communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration. document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform. advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops

In this role, you will work at the intersection of advanced optical physics, digital twins, and AI-driven modeling, contributing to research that shapes the future of high‑capacity optical networks. This position is ideal for researchers who want their academic excellence to translate into real‑world technological impact.

What Youll Be Working On

As an Optical Communications Researcher, you will lead and contribute to advanced research in coherent optical communication systems, tackling challenges that go beyond standard experimental boundaries.

Your work will include:

Investigating complex optical phenomena that are not fully measurable or observable, using deep analytical and theoretical reasoning
Developing high‑fidelity theoretical and simulation models that accurately represent real‑world optical behavior
Exploring novel and emerging optical network architectures, often with limited prior art or validation data
Playing a key role in Digital Twin research, including:
Research and development of an Optical Layer Network Digital Twin
Combining optical hardware, software, and AI/ML algorithms
Providing expert insight and solutions to complex system‑level challenges arising from digital twin activities
Performing advanced simulation and modeling of optical phenomena, including the application of machine learning techniques
Why This Role Is Special

Participation in a high‑visibility national project supported by the Ministry of Science, Technology, and Space
Direct exposure to industrial‑grade optical systems alongside deep academic research
Opportunity to influence future optical network design and innovation
Work in a team that values intellectual ownership, curiosity, and independent thinking
A strong platform for future careers in advanced R&D, academia, or the deep‑tech industry

Responsibilities:
* Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
* Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
* Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
* Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.