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In this role, you will:

Collaborate closely with multiple teams across Microsoft to deliver key customer solutions and the technologies that support them.

Build features end-to-end from our endpoint installed on user machines across multiple platforms, all the way to Cloud Services.

Lead the end-to-end design, implementation, and delivery of the future architecture for highly scalable, durable, low-latency systems.

Build an effective and agile development organization by applying industry-leading best practices.

Lead the definition of requirements, KPIs, priorities, and the planning of engineering deliverables.

Demonstrate proven team-building experience, including mentoring and growing team members.

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Infrastructure Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

We are seeking a motivated Software Developer to join our Agent Team. This role is crucial in building and maintaining features that span from user endpoints across multiple platforms to cloud services. If you have a passion for technology, strong collaboration skills, and a drive for results, we want to hear from you.



Responsibilities

Develop and maintain features end-to-end, from user endpoints on various platforms to cloud services.

Collaborate with cross-functional teams to design, implement, and test new features.

Troubleshoot and debug complex technical issues across different environments.

Continuously learn and apply new technologies to improve our products.

Contribute to code reviews and maintain high standards of code quality.

We are looking for a Senior Cloud Solution Architect (CSA), specializing in Data Security who is passionate about driving our customers security & AI transformation on the Microsoft Platform. Microsoft Data Security Cloud Solution Architects are trusted advisors for customers attempting to secure their entire data estates against internal and external data risk. Microsoft Purviews integrated Data Security services support customers holistically secure data:

Protect sensitive information using data classification, sensitivity labelling and encryption capabilities.
Manage insider risks by using machine learning to detect potentially malicious usage, extending into adaptive protection to dynamically enforce data security controls.
Prevent Data Loss using built in exfiltration policies for Microsoft 365 apps, services and endpoints.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact