The Ads Foundations organization is responsible for the technical backbone powering Ads Monetization at scale. Within this ecosystem, efficient resource utilization is critical.

We are seeking a Senior Staff Engineer to serve as the Cloud Resources Technical Owner for the Ads Domain. You will be the primary engineering point of contact for the Senior Director in Ads and Cloud Operations/Resources (COR & Opex) stakeholders.

Responsibilities

Technical Vision & Strategy

• Define and drive the technical strategy for Cloud Resource management within Ad first, ensuring that cost accountability is built into the architecture of our systems.
• High-Fidelity Investment Modeling: Elevate cloud estimation from guesswork to a rigorous engineering discipline. You will lead the high-quality forecasting of new cloud investments and efficiency projects, designing data-driven models to validate technical ROI before builds happen
• Design and implement a roadmap for Cost Observability 2.0, moving beyond simple reporting to real-time, service/team-level spend attribution and automated anomaly detection.

Engineering & Tooling Leadership

• Design and build internal platforms that programmatically enforce PnL accountability. You will engineer (or collaborate with Core Infrastructure partners) to deliver the dashboards, alerts, and governance tools that every Ads team relies on to manage their cloud footprint.
• Architect automated frameworks for validating cost estimates and forecasting, replacing manual spreadsheets with data-driven software solutions.

Scale & Optimization

• Fight for observability by instrumenting deep telemetry into our cloud infrastructure. You will be hands-on in identifying inefficiencies (e.g., underutilized clusters, uncompressed data flows) and re-architecting critical paths for cost reduction.
• Lead the technical validation of vendor and 3rd-party tool integration, ensuring we extract maximum engineering value from every dollar spent.

Cultural & Technical Stewardship

• Act as a role model for the Ads domain and the wider company. You will set the standard for how engineering teams think about Cost as a Non Functional Requirement, eventually scaling these patterns to other domains.
• Partner with Finance and Engineering leadership to translate Cloud Spend into actionable engineering tasks (e.g., refactor Service X to use Spot instances).

Requirements

• 10+ years of software engineering experience, with a strong focus on public cloud infrastructure (AWS/GCP/Azure) and large-scale distributed systems.
• Engineer-First Mindset: You are comfortable writing code (Go, Python, Java) to solve infrastructure problems. You don't just ask for a report; you build the API that generates it.
• Deep Cloud Expertise: You have mastery over Kubernetes, container orchestration, and cloud-native storage, understanding exactly how architectural choices impact the bottom line.
• Operational Excellence: Proven track record of building observability pipelines (Prometheus, Grafana, Datadog) that drive operational and financial alerts.
• Influential Leader: Skilled at driving clarity in ambiguous spaces. You can convince a Principal Engineer to refactor their service for cost efficiency because you can prove the technical and business value.

Bonus Points

• Experience building custom FinOps tooling or internal developer platforms.
• Background in performance engineering or capacity planning for high-traffic ad tech environments.
• Contributions to open-source projects related to cloud efficiency or observability.

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Descript is on a mission to make audio and video content creation and editing fast, easy, and accessible to all. We are building a cutting-edge media editor incorporating real time collaboration, ground-breaking UX, and cutting-edge AI.

Job Description

As a Senior Infrastructure Engineer, you will drive projects that let engineers better understand and improve the performance, availability, and quality of what they ship. You will be owning and improving the core production infrastructure and building blocks upon which other engineers depend.

Responsibilities

• Develop technical and business solutions that enable engineers to improve the quality and reliability of product features and systems that they build.
• Drive improvements to the reliability of our core infrastructure, such as production clusters, networking, databases, and observability systems.
• Champion best practices during reviews of code, technical designs, and launch plans.
• Own our incident management and fire drill processes.
• Work with engineering leadership to set goals and prioritize production reliability.

Requirements

• 5+ years experience in production/site-reliability engineering OR 5+ years of server-side software engineering with an interest in working on core infrastructure
• A solid understanding of at least two of: public cloud infrastructure, Linux systems administration, and DevOps tooling.
• Basic coding skills to work on automation and technical guardrails.
• Strong written and verbal communication skills, and the ability to collaborate with other functions
• Experience mentoring engineers, including code reviews, architecture discussions, and leadership skills

Nice to Have’s

• Experience with:

+ TypeScript + Kubernetes + Google Cloud Platform + Terraform

The base salary range for this role is $191K-$250K.

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You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem

• Engage with the partner technical community by leading workshops, seminars, and meet-ups

• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network

• Show expertise by producing creative technical solutions and blog posts

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets

• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Coding experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

• Native-level fluency in Korean and professional working proficiency in English (both written and verbal)

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In this role, you will lead the architecture and development of performance profiling and instrumentation infrastructure, covering CPU, GPU, memory, request hot paths, utilization, and deployment events, making these capabilities available to all backend teams.

You will partner with infrastructure teams across compute, reliability, backend frameworks, and AI Infra to ensure the fleet operates at optimal utilization.

You will connect performance outcomes to business objectives and company-wide SLOs, and guide engineering teams in keeping the stack scalable and efficient.

You will evaluate emerging hardware and software technologies, engage with the external solutions ecosystem, and advise on build vs. buy decisions in areas of strategic importance.

As a mentor and technical leader, you will uplevel engineers across the organization through design reviews, architectural guidance, and performance best practices.

To be successful in this role, you will need to have 12+ years of performance engineering experience in high-scale, high-growth production environments.

You will need to have a deep understanding of how software and hardware systems interact at scale, including architectural patterns for performance-critical stacks.

You will need to have strong familiarity with public cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).

You will need to have experience with profiling and instrumentation tooling across CPU, GPU, memory, and distributed request tracing.

You will need to have demonstrated ability to define performance objectives and drive delivery against company-wide SLOs across multiple organizations.

You will need to have strong communication and influence skills; comfortable driving technical direction with senior engineering and product leadership.

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At Microsoft AI, we deliver exceptional products and services that empower users to be more productive and efficient.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation.

You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation.

Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile.

You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal.

Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps.

The possibilities are endless.

Responsibilities:

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.

• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.

• Designing pipeline architecture to ensure rapid iteration and scalability.

• Conducting post-analysis of labeled data and developing dashboards to visualize insights.

• Collaborating closely with the product team to enhance quality and address gaps.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python OR equivalent experience.

• 2+ years’ experience with SQL, PostgreSQL or MySQL

• 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.

• Extensive use datastores like RDBMS, key-value stores, etc.

• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code

• HTML, CSS, JavaScript, ASP.NET, REST, jQuery

• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright

• Familiarity with mobile automation tools like Appium

• Familiarity with LLMs and AI ChatBots Prompt Engineering

• Azure DevOps, GIT

• Azure Open AI, Azure Foundry

• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.

There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the team.

Microsoft's 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:

• Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures.
• Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites.
• Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints.
• Implement AI-forward product features and use AI-assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability.
• Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact.
• Collaborate closely with product team to ship end-to-end features, contribute to architectural discussions, and uphold a high quality bar.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• 2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
• Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals
• Solid understanding of web performance, accessibility, and cross-browser compatibility
• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
• Familiarity with LLMs and AI ChatBots Prompt Engineering, Azure DevOps, GIT
• Solid problem-solving skills and ability to work independently
• Experience in leading technical projects and supporting architectural decisions with data.

#MicrosoftAI Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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