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We are looking for a Data Engineering Lead to join our Platform Group at our company. In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead at our company you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our company's platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our company's overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.

Were expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on:
Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.

we are looking for a Senior DevOps Engineer to build our next-gen production infrastructure.In this role, youll work on evolving our architecture, including CI/CD processes, data replication, monitoring and security tooling in a multi-cloud, multi-account environment.Our tech-stack includes AWS, RDS, Redis, RabbitMQ, DataDog, Jenkins and Github Actions, K8s and more
Youll work on:
Building a world-class SaaS infrastructure for shipping high-quality changes to production
Defining, developing, and maintaining core production services
Securing our cloud infrastructure and development environments
Defining and leading innovative DevOps processes and introducing new tools across
Constantly improving our Delivery Frequency, Lead Time to Changes, and Mean Time to Recovery

Were looking for a Mid-Senior Frontend Engineer who will work on cutting-edge cybersecurity platform, building intuitive and scalable user interfaces, optimizing performance, and collaborating closely with cross-functional teams to deliver seamless, user-centric experiences.
You'll work onL:
Design and implementation of major product features
Building reusable code and libraries
Collaborate with UX/UI designers to implement design into the code

we are a global fintech company and a leading provider of cashless payment, consumer engagement, and business management solutions for the unattended retail sector. We are looking for a salesforce Business Analyst to join the CRM ( salesforce ) team, which is responsible for supporting global users and is in charge of global business processes. The salesforce Business Analyst will support global stakeholders and users and create project plans, track progress and create training materials. You should apply if you are a team player who can drive complex projects to completion we offer a great working environment in a successful company and development opportunities going forward. The salesforce Business Analyst will report to CRM Manager. IN THIS POSITION YOU WILL:
* Establish working processes to ensure timely and high-quality delivery.
* Design and implement solutions on the salesforce platform.
* Manage and lead projects insalesforce ecosystem.
* Design and implement new business requirements to improve business processes.we are looking for a salesforce Business Analyst to join the CRM ( salesforce ) team, which is responsible for supporting global users and is in charge of global business processes.
* Support users on the day-to-day tasks, including data fixes and troubleshooting.
* Manage salesforce releases, understand Whats coming (and when), present the new features to the relevant users & training.

we are seeking a passionate Senior Platform Engineering Developer to help build the next generation of our Internal Platform for Engineering. If youre driven by the challenge of designing and developing cutting-edge infrastructure and tools, this is the opportunity for you. As a Platform Engineer at our company, you will be responsible for designing, developing, and managing an internal multi-cloud platform tailored for engineers. You will collaborate closely with product managers, developers, DevOps, and other engineering teams to build platform features and capabilities that enhance deployment processes, observability, monitoring, security, and cost optimization, all while ensuring the scalability, availability and stability of our company's SaaS.
As a Senior Platform Engineering Developer at our company, you will...
Take part in designing, developing, and extending the capabilities of our company internal platform and SaaS, ensuring they meet the evolving needs of engineering teams and our company customers
Develop scalable cloud-native solutions that leverage AWS, Azure, GCP, and Kubernetes, empowering teams with efficient and reliable infrastructure. Collaborate with product managers to align platform development with business objectives, ensuring the platform delivers maximum value to our company's SaaS customers
Continuously improve developer productivity by creating self-service tooling, minimizing manual interventions, and integrating cloud and Kubernetes services
Work with diverse and cutting-edge technologies, including Kubernetes, k8s Operators, ArgoCD, Prometheus, OpenTelemetry, Kafka, MongoDB, Falco, etcd, Helm, Istio, Crossplane, and Kyverno, while developing expertise in these areas.

At our company, were reinventing DevOps to help the worlds greatest companies innovate and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey?
our company's Security is one of the main pillars of our companys long-term strategy. We are pushing the boundaries of security analysis of both binaries and code, shifting left and bringing new and exciting features to both developers and DevOps. We are looking for an experienced malware researcher to lead our malware research team. As a Malware Research Team Lead at our company, you will lead research on source code, compiled code, and various software supply chain attacks. The position requires proven experience in researching malicious code, understanding supply chain attack techniques, and experience in developing malware monitoring and analysis automation.
As a Malware Research Team Lead at our company you will...
Lead a team of experienced malware researchers to discover malicious code in open source & new supply chain attack techniques
Research malicious code in public repositories from various coding languages and technologies
Define and implement ways to automatically detect malicious code in open-source software
Write technical reports and outward-facing publications regarding all research subjects mentioned above
Present your teams research in local and international security conventions.

At our company, were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey?The company's CSO Security team is looking for a Senior Application Security Researcher. In this role, you will perform vulnerability research, assess existing architectures, and build and run tools to secure the company application landscape at scale. You will work closely with R&D and DevOps teams and be the focal point for identifying and solving complex security challenges. This is a hands-on, development-focused role with the goal of ensuring our company products adhere to the stringent security requirements of our thousands of customers.
As a Senior Application Security Researcher at our company you will
Continuously assess and challenge our companys overall security posture to ensure optimal and up-to-date platform security in our products and systems
Evaluate architecture, design, and code to ensure they are free from potential vulnerabilities and security risks
Train and mentor developers about security frameworks, testing, vulnerabilities, and best practices to ensure code compliance
Evaluate new technologies and standards in the application security domain
Plan and lead cross-company efforts with the R&D that will improve our companys security posture.

We are looking for a Senior Software Engineer.
As a software engineer, youll lead core features in our SaaS platform. Youll work closely with cybersecurity researchers and data scientists and get a chance to learn from experts in these fields.Our technology stack includes AWS, Docker, Redis, Apache Spark, and Databricks, just to name a few.
You'll work on:
Designing, building, and scaling new product features and backend services from scratch using cutting-edge technologies
Driving technological and architectural decisions
Building world-class engineering standards, tools, and processes

The company's quality team is looking for a highly motivated and experienced Quality Architect, with proven experience in test design, automation and performance, to boost the quality of our growing products. In this role, you will provide leadership and guidance to R&D and quality engineering teams, ensuring they adhere to industry standards and deliver high-quality, reliable software products.
As a QA Architect at our copmpany you will...
Define the QA strategy, approach, standards and execution to quality testing across our suite of products and collaborate with other leaders to build the our copmpany approach
Continually improve the operational efficiency and effectiveness of the QA effort by assessing current quality assurance practices and incorporating new strategies
Build new performance and scale testing and choose tools to ensure the optimal performance of code
Design and build our automation infrastructure framework and its building blocks
Oversee product release quality and risks in our self-hosted and SaaS products
Define and implement quality metrics and reporting mechanisms
Continually improve the operational efficiency and effectiveness of QA by assessing current quality assurance practices and incorporating new strategies.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.