דרושים » הנדסה » Phyton Tech Lead

Our mission is to pioneer advanced Feature and ML Platforms to accelerate the Financial Integrity org, by providing an uncompromised top industry risk, compliance and customer care experiences

AI is one of Metas leading investment areas as part of the financial activity expansion in our portfolio of products. As part of this, we are building best-in-class infrastructure using best-in-class ML technologies

The team is composed of software engineers, machine learning engineers, data scientists in developing state of the art backend systems and ML Infrastructure and our focus is to continue to lead industry standards in the FinTech space.
Software Engineer, Infrastructure Responsibilities
Lead complex technical efforts across many engineers
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Set direction and goals for the team regarding project impact, product quality and engineering efficiency
Lead major initiatives, projects, teams, roll-outs and phased-releases
Helps onboard new team members, provides mentorship and enables successful ramp up on your team's code bases
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

We are looking for a Full-Stack Engineer. This role is perfect for an experienced and proactive person with outstanding programming skills. The ideal candidate is a team player who has a passion for designing and developing innovative and scalable solutions, from front-end user interfaces to back-end system logic. A person who has a desire to be responsible for the development of entire features, end-to-end, while demonstrating engineering excellence.

This job is located in Tel Aviv (hybrid)
Key Responsibilities
Full responsibility for the entire products look & feel (along with the designer).
Design and development of the products front end: from individual components to entire screens.
End-to-end development of software components/services (research, design, development, testing, deployment, monitoring)
Contribute to technological and architectural decisions
Mentor other engineers in the team (via code reviews, dedicated sessions, pair programming, etc.)

Unity Aura is a mobile engagement platform that helps app developers engage with their users and optimize their revenue streams. We are looking for a highly skilled Full Stack Developer with a strong focus on backend development to join our R&D.

The ideal candidate will have experience in developing large-scale applications using AWS, Kafka, event-driven architectures, microservices, and a deep understanding of JavaScript.

What you'll be doing

Work as part of a full-stack agile team, design and develop high-quality, scalable backend systems that serve billions of customers.
Build, maintain and optimize scalable microservices architectures and event-driven systems
Be responsible for end-to-end design and implementation of major features and new services
Work closely with the product, architects, DevOps and automation teams
Debug and solve complex problems related to backend infrastructure

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Google Cloud is assisting the world's largest enterprises in their transition to the cloud. This journey encompasses all of their applications and infrastructure, which, in many cases, includes their mainframe footprint. Google Cloud offers a variety of modernization solutions in the mainframe domain, ranging from data analytics and lift-and-shift to full-blown application modernization using GenAI.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
Develop the mid-term technical direction and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

We are customer-obsessed problem-solvers. We orchestrate deep engagements in areas like incident management, support, and enablement. We analyze and amplify those customer voices, both within our own team, and across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We innovate ways to scale what we learn across our customer base. Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Azure Reliability team is a multidisciplinary engineering organization part of CXP dedicated to making, Azure the safest and most reliable Cloud.

Azure SRE teams strive to improve reliability fundamentals via software engineering, preferring long-lasting platform improvements delivered as engineering projects over repetitive manual operations. We contribute to the product fundamentals and architecture, share knowledge, and code, and prefer reuse over re-invention, always looking for ways to make what we build useful to multiple teams and products.

We are not looking for people who know it all, we are looking for people who want to learn it all. We value the input of people who arent afraid to learn all the time and embrace mistakes as they continuously improve both our services and themselves. If you are excited by this type of challenge and you love to work in groups of people who are similarly excited: come join us!

This role supports flexible work from home with occasional in-office meetings.

Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Partner across multiple product groups to apply subject-matter expertise in distributed systems design practices, interactions between cloud technology layers and components, basic dependencies at scale, and the code that defines infrastructures.
Lead by example and mentors others to produce extensible and maintainable code used across products.
Develop and evangelize insights, best practices, and standards that can be applied to improve system, platform, and/or product development and operations across the business.
Drive continuous improvements in the architecture, code, features, operations and comprehensive use scenarios of products by leveraging end-to-end technical expertise.
Make improvements to the product fundamentals and architecture, share knowledge and code, always looking for ways to make what we build useful to multiple teams and products. 
Demonstrates end-to-end expertise in distributed systems design, interactions between cloud technology layers.
Provide technical leadership in test maturity reviews, static analysis reviews, meetings, on-call rotations, and incident responses throughout product development and operations cycles.
Provides deep business and technical expertise as required to resolve major incidents.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.

Waze is also a household name in Israel, and joining our team is an opportunity to be part of local history and be part of a passionate team and community working to change the way our cities move and make every drive smarter and safer.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

We are looking for a Senior Java Engineer. This role is ideal for an experienced and proactive software engineer with outstanding programming skills who is passionate about building high-quality software, in a micro-service architecture, and can handle high-scale usage.

This job is located in Tel Aviv (hybrid).
Key Responsibilities
End-to-end development of software components/services (research, design, development, testing, rollout, monitoring)
Contribute to technological and architectural decisions
Mentor other engineers in the team (via code reviews, dedicated sessions, pair programming, etc.)
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers

The Risk team in Financial Integrity is responsible for mitigating all fraudulent financial activity that is done in Meta products in order to drive trust and integrity for all people and businesses using Metas financial ecosystem, while accelerating growth.

Fraud prevention is one of Metas leading investment areas as part of the financial activity expansion in our portfolio of products. As part of this, we are supporting highly scalable systems that are able to support tens of billions of transactions per year.

The team is composed of software engineers, machine learning engineers, data scientists which are mostly seniors in developing state of the art backend systems, supervised and unsupervised machine learning models and our focus is to continue to lead industry standards in the FinTech space.
Machine Learning Engineer - Financial Integrity, Risk Responsibilities
Have a leading position in setting the direction and goals for the ML pillar, in terms of project impact, ML system design, and ML excellence.
Creating and fostering long term vision on building first class, state of the art fraud enforcement solutions
Owning the entire development cycle, from ideation to realization across the stack. Designing and developing machine learning models using supervised, unsupervised, and deep learning techniques.
Take part in the overall team engineering efforts and contribute with hands-on work
Working with software engineers to integrate machine learning models into applications and systems
Collaborating with data scientists to identify and select appropriate machine learning algorithms and techniques

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The TI Engineering team is focused on building cutting edge solutions, countering adversary-based threats to Microsoft and its customers through dissemination of threat intelligence, proactive hunting, incident response, and the development of new solutions and methods to detect adversary activity, investigate and respond to the attacks.

Our mission is to monitor, disrupt, and shield against cyber threats by the most sophisticated actors.

We use state of the art cloud technologies, big data solutions, AI at hyper scale and modern UX platforms to deliver the highest value for our customers.

Are you passionate about building next-gen security services?

Are you excited about Security and Cloud technologies?

Are you looking for a live, fast-paced environment, where you can make an impact and grow?
Responsibilities
Continuous Integration and Continuous Deployment: Integrate CI/CD pipelines into the software delivery process. Automate testing, deployment, and rollback procedures to ensure smooth and reliable software releases, Implementing CI/CD best practices, facilitate rapid iteration cycles, improve deployment reliability, and reduce the risk of introducing regressions or failures into production environments.

Service Reliability: Ensuring the reliability and availability of software services by implementing robust monitoring, alerting, and incident response systems. Focus on minimizing downtime and service disruptions to meet reliability targets.

Automation and Tooling: Develop and maintain automation tools and infrastructure to streamline repetitive tasks, improve efficiency, and reduce human error. Leverage tools for deployment, configuration management, and scaling to support the reliability and scalability of services.

Performance Optimization: Analyze system performance metrics and conduct capacity planning to ensure services can handle current and future traffic demands effectively. Identify performance bottlenecks, optimize resource utilization, and implement improvements to enhance service performance.