We are looking for a skilled QA Automation Engineer (backend oriented) to join our Parking domain. You will play an important role in ensuring the quality of mission-critical systems that serve millions of users daily.
The majority of the role is automated testing combing AI Skills but combines manual as well.
This is a great opportunity for somebody who want to enhance infrastructures, develop in engineering and great best practices and handle scaled distributed systems based on AWS.
Responsibilities
Design and develop automated tests end to end for new and existing features, execute mainly Backend API tests, including automation for backend services.
Apply AI tools (e.g., Cursor, Claude Code) in day-to-day work to generate code, build automation, and continuously improve testing workflows.
Write and maintain detailed test cases and documentation.
Identify, record, and track software defects and issues, ensuring timely resolution.
Work with tools such as Qase.
Collaborate with cross-functional teams to understand product requirements and design effective testing strategies.

We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.
What Youll Do:
Data Quality & Validation:
Design and execute data validation strategies for large-scale batch and streaming pipelines
Ensure data correctness, completeness, freshness, and consistency across the data lake
Define and automate checks for schema changes, data drift, and data quality regressions
Performance & Scalability Testing:
Plan and execute performance and scalability tests for data pipelines and processing jobs
Identify bottlenecks across ingestion, transformation, and querying layers
Partner with engineers to validate performance improvements and prevent regressions
Automation & Infrastructure:
Develop and maintain the data teams QA automation infrastructure
Build reusable testing frameworks and tools tailored for large datasets and pipelines
Integrate automated tests into CI/CD pipelines and production monitoring workflows
Collaboration & Ownership:
Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck
Participate in design discussions to ensure testability and observability are built in from the start
Quality Mindset & Communication:
Champion a quality-first culture within the team
Clearly communicate risks, findings, and quality metrics to technical stakeholders
Balance thoroughness with pragmatism in fast-moving, high-scale environments.

We are looking for a skilled QA Automation Engineer (backend oriented) to join our Parking domain. You will play an important role in ensuring the quality of mission-critical systems that serve millions of users daily.
The majority of the role is automated testing combing AI Skills but combines manual as well.
This is a great opportunity for somebody who want to enhance infrastructures, develop in engineering and great best practices and handle scaled distributed systems based on AWS.
Responsibilities
Design and develop automated tests end to end for new and existing features, execute mainly Backend orientation API tests, including automation for backend services.
Apply AI tools (e.g., Cursor, Claude Code) in day-to-day work to generate code, build automation, and continuously improve testing workflows.
Write and maintain detailed test cases and documentation.
Identify, record, and track software defects and issues, ensuring timely resolution.
Work with tools such as Qase.
Collaborate with cross-functional teams to understand product requirements and design effective testing strategies.

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

we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust our company to help secure their most critical assets.
job description
as a staff engineer in the data & ai platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our data and ai ecosystem. you will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
this role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution. in this role you will
lead end-to-end development of high-priority, cross-team features and initiatives in the data & ai platform. design and implement scalable, resilient, and secure distributed systems in a modern cloud environment. drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and ai teams. mentor developers, support their growth, and elevate engineering practices across the group. promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives. evaluate new technologies and guide their adoption where appropriate. collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives

company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us, visit our blogs or follow us on x, linkedin or facebook. job description
the role
we are seeking a senior platform engineer to join our platform team. you will be responsible for building the technical foundation that hundreds of developers will use daily.
your goal is to make kubernetes "invisible" for our developers. you will design and implement the automated machinery-the "paved road"-that enables application teams to move from code to production securely and reliably, without managing the underlying infrastructure themselves.
responsibilities
platform engineering & automation
internal Developer platform (idp): build and maintain our Developer portal, creating a unified "single pane of glass" for service catalogs, self-service actions, and scorecards. k8s core: design, implement, and maintain production-grade kubernetes clusters with a focus on multi-tenancy, security, and high availability. gitops mastery: implement and manage automated deployment workflows using gitops principles (argocd or flux). self-service apis: create abstractions (using tools like crossplane or custom cli tools) to simplify cloud resource provisioning and integrate them directly into idp. Developer experience (devex)
workflow optimization: analyze the Developer 's "inner and outer loops" to identify friction points and automate them away via the idp. standardization: create helm charts, ci/cd templates, and "gold path" configurations that embody best practices for security and observability. technical mentorship: act as a subject matter expert for r&d teams, providing guidance on containerization, microservices architecture, and cloud-native patterns. operational excellence
observability: build comprehensive monitoring and logging stacks (prometheus, grafana, opentelemetry) and surface these metrics within idp to give developers deep insights. security & compliance: implement automated policy enforcement (opa/kyverno) and ensure all platform components adhere to identity security standards. infrastructure as code: maintain 100% of the platform via iac tools like terraform/pulumi/opentofu etc. qualifications
technical

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are seeking a highly technical program manager to join the execution program management team. in this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals.you will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. what will your job look like:
lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
monitor progress and proactively drive issue resolution to maintain predictable delivery.
define, track, and analyze execution kpis.
identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
drive transparency, accountability, and operational rigor across stakeholders.
engage directly with development artifacts, including:
- reading and reviewing code.
- running scripts and pipelines (e.g., Python, bash).
- analyzing logs and outputs.
- supporting debugging and validation tracking.
- help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

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