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We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing.
You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company.
Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility.

What you will do:
Design and implement infrastructure for high-volume data processing.
Continuously improve performance, cost, and reliability at scale.
Collaborate with frontend teams on customer-facing features and applications.
Work with stakeholders across the company to ensure data processes meet their requirements.
Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices.

Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.

Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

We are looking for an experienced Product Manager to join our product team and lead initiatives focused on Financial Crime solutions. This role is ideal for someone with hands-on experience building products in the financial crime domain and a deep understanding of how banks detect, investigate, and prevent fraudulent and scam-related activity.

Responsibilities:
Own the product roadmap for Financial Crime capabilities, covering Fraud, Scams, and related risk use cases.
Work closely with Engineering, Data Science, and UX to build scalable, data-driven solutions.
Partner with Customer Success, Sales, and Solutions teams to support deployments, upgrades, and go-to-market efforts.
Engage directly with customers to understand real-world fraud and scam workflows, operational challenges, and regulatory constraints.
Analyze market trends, regulatory developments, and competitive offerings in the Financial Crime space.
Drive prioritization decisions based on customer impact, risk reduction, and business value.
Lead agile product processes, including backlog management and release coordination.

We are seeking a driven and Senior Backend Developer to join our dynamic Smart Mobility team at Pango. In this role, you will lead complex backend projects end-to-end starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.

Responsibilities:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Design, develop, and maintain scalable, high-performance backend systems and services using Python and modern cloud technologies in production environments.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

We are seeking a driven and experienced Senior Backend Developer to join our huge domain and Core Team!

In this role, you will lead complex backend projects end-to-end in our proud scalable domain of Parking, Millions of PR and integration.

From understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.

Responsibilities:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Design, develop, and maintain scalable backend systems in production environments
Build and manage cloud-native, microservices-based architectures (AWS) and distributed systems .
Work with a variety of data storage technologies
Collaborate with cross-functional teams including product, DevOps, and frontend
Build and manage frontend components (Angular) as needed
Communicate complex technical topics clearly to non-technical stakeholders
Actively leverage AI tools (e.g., Cursor\ Claude Code etc.) to accelerate development and raise the teams engineering bar and velocity.
Main Tech Stack: Python, .net core, AWS, DynamoDB, MongoDB, PostgreSQL, SQL Server and more.

M:AD Growth is looking for an experienced Delivery Leader to head our analytics and data engineering team. You will be responsible for the end-to-end execution of complex data projects, ensuring technical excellence and driving measurable impact for our enterprise clients. This role is ideal for a leader with a strong background in Digital or Product Analytics, experienced in measuring and optimizing user behavior across large-scale digital products and ecommerce platforms. This role is ideal for a builder-manager who can translate high-level strategy into high-performance data operations while leading, mentoring, and developing a team of analysts and data engineers.

Responsibilities:

* Lead and develop a multidisciplinary data team. Manage and grow a team of Analysts Data Engineers and while driving advanced AI methodologies and analytical standards.
* Measure and optimize digital user journeys across enterprise websites, applications, and ecommerce platforms. Define tracking strategies and analytical frameworks for key digital processes such as acquisition flows, onboarding journeys, service requests, and ecommerce funnels.
* Drive data-driven optimization by identifying performance gaps, user friction points, and growth opportunities through behavioral data and funnel analysis.
* Own the full analytics lifecycle, from building robust data foundations and tracking architectures to delivering dashboards, deep analyses, predictive models, and automated insights.

* Define and enforce analytics architecture standards for GA4 tracking, BigQuery data modeling, and Looker Studio reporting.

We are looking for an sharp-minded Senior Backend Developer to join our Growth Team. This is a unique opportunity to take part in shaping architecture decisions, contribute to cross-functional projects, and work with cutting-edge technologies in a fast-paced, innovation-driven environment.



In this role, you will lead complex backend projects in a strategic team- Our Subscriptions team is in charge of new one all paid packages for our millions of users and loyalty and is strongly connected to our business goals and mission in us becoming the smart mobility leading Super-App.

Responsibilities:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Design, develop, and maintain scalable backend systems using Python in production environments.
Build and manage cloud-native, microservices-based architectures and distributed systems.
Work with a variety of data storage technologies.
Collaborate with cross-functional teams including product, DevOps, and frontend.
Build and manage frontend components (Angular) as needed
Communicate complex technical topics clearly to non-technical stakeholders
Actively leverage AI tools (e.g., Cursor\ Claude Code etc.) to accelerate development and raise the teams engineering bar and velocity.
Main Tech Stack: Python, .net core, AWS, SQS, SNS, Lambda, DynamoDB, MongoDB, PostgreSQL, SQL Server and more.

Were looking for a DevOps Engineer to lead core modernization initiatives that define how our R&D teams build, ship, and operate high-scale systems.

Youll tackle complex modernization challenges, including migrating legacy systems, scaling across multiple domains, and operating a large multi-account AWS environment.

Responsibilities:
Design and evolve a multi-account AWS environment supporting real-time, consumer-facing workloads used daily by millions of users.
Ensure scalability, reliability, security, observability, and cost efficiency across production systems.
Lead Terraform standardization across R&D, building reusable modules, patterns, and governance.
Lead CI/CD modernization initiatives, including transitions to new tools and delivery platforms.
Design secure, company-wide CI/CD workflows enabling faster, safer, and more autonomous releases.
Build tools, templates, and guardrails that increase developer autonomy and delivery velocity.
Lead complex modernization projects involving large-scale systems, multiple domains.
Integrate AI-assisted tools to improve developer productivity.
Work cross-functionally to remove friction, streamline delivery pipelines, and influence engineering standards across teams.

We are looking for a process-oriented technical product manager, to define, design, and lead implementation for the various components of our analysis engine.
What you'll do:
Lead highly complex technical product features as part of the companys product team.
Take part in defining the companys roadmap, taking into account the needs from multiple clients.
Work closely with the algorithms team to define and oversee the development of AI and Computer Vision research tasks
Work closely with the engineering team to implement processes, features, and research deliverables into the analysis process
Be the operations teams point of contact for improving the data processing, validation, and delivery procedures
Research directions for new data sources, technologies or client needs, making sure we maintain our competitive edge
Be part of a vibrant team of bright product leaders bringing the construction industry into the digital age.