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 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 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.

Come join the team as a Staff Machine Learning Engineer. We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities. You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology. If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
Help automate, deliver, monitor, and improve GenAI solutions while taking end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

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

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 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

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.

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
we are looking for a bright, talented senior devex platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. this role is focused on development flow productivity and building application infrastructures and tools to handle the challenges of hyper-growth and application scale.
you will design, implement, and deploy products and infrastructures that directly increase our stability and quality while reducing our time to market.
what you will do:
Developer platforms: design and develop solution-oriented enterprise DevOps platforms and tools to improve the Developer experience.
velocity & quality: create solutions to increase r&d velocity, reduce lead time, and improve overall product quality.
saas infrastructure: plan, design, and develop company's saas infrastructure, operation engine, and deployment strategy.
ci/cd & security: develop and adopt new technologies to improve ci/cd pipelines, utilizing a devsecops "shift left" approach to introduce security early in the cycle.
troubleshooting: perform platform and service troubleshooting across various applications, domains, and platforms.