You will collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord. You will exercise 'First Principles Thinking' to always deliver what matters most to our users.

You will work with a talented team of engineers who have built one of the largest communication platforms in the world.

Responsibilities:

• Build and operate large-scale, reliable, and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux, and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise 'First Principles Thinking' to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

Requirements:

• 4+ years of experience with building distributed systems and datastore infrastructure.
• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, BigTable, DynamoDB, CockroachDB, Postgres w/HA, etc.
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Strong operating systems, distributed systems, and concurrency control fundamentals.
• Familiarity with Linux internals.
• Comfortable working in fast-paced environments.

Bonus Points:

• Experience with Cassandra or Scylla.
• Experience with Rust.
• Knowledge of DevOps tools like Salt, Terraform, or Kubernetes.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multi-platform, multi-generational, and multiplayer platform that helps people deepen their friendships around games and shared interests.

We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank.

Join us in our mission!

Your future is just a click away!

XML job scraping automation by YubHub

As a member of the Data Platform Team, you will have the opportunity to drive technical decision-making to accelerate delivery, mentor engineers, and grow team capability. You will champion event-driven architecture adoption and build consensus across the organization. You will participate in the company's data infra strategy planning and initiatives.

Key responsibilities include:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs.
• Develop a stream processing architecture and solve for scalability and reliability.
• Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation.
• Establish guidelines, guard rails for data access and storage for stakeholder teams.
• Ensure compliance with standards for data protection regulation.

To be successful in this role, you will need to have 12+ years of software engineering experience. You should understand the CAP theorem and concurrency models, and be able to clearly define data models and establish guidelines around data management. You should be familiar with one of the distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka.

Additionally, you should have experience with designing and operating systems at scale, API designs and microservices, and Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration. You should be excited to have the opportunity to contribute to a Kubernetes operator in order to manage data systems.

The base salary range for this role is $188,000 to $250,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

XML job scraping automation by YubHub

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.

You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.

You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do ------------

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring --------------

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.

• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.

Why Join Dialpad ---------------

• Work at the center of the AI transformation in business communications.
• Build and ship agentic AI products that are redefining how companies operate.
• Join a team where AI amplifies every employee’s impact.
• Competitive salary, comprehensive benefits, and real opportunities for growth.

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

XML job scraping automation by YubHub

You will review and advise implementation designs, evangelize the Search roadmap internally and externally, and mentor engineers and foster technical excellence. You will bring proven experience as a technical leader for large, complex engineering teams and projects, deep expertise in Java/JVM, search technologies, context engineering, experience building complex distributed systems, or understanding of the inner workings of databases/datastores.

You will be passionate about Search, able to reason about architecture at both high and detailed levels, hands-on, comfortable coding, reviewing PRs, and staying close to the team's work. You will be an excellent communicator, collaborator, and problem solver, operating with high autonomy.

In this role, you will have the opportunity to work on a wide range of challenging projects, collaborate with a talented team of engineers, and contribute to the development of Elastic's Search products.

XML job scraping automation by YubHub

We build everything from foundational infrastructure that extends Elasticsearch, to user-facing features like Agent Builder that enable customers to create powerful search and Agentic experiences. You'll be the technical leader shaping the architecture and vision for Elastic's Search products, ensuring that using Elasticsearch for building applications, Agents, or as a context engineering Platform is easy to get started with and operate, while preserving the flexibility to configure every aspect of search & relevance.

Responsibilities

• Own and evolve the architecture and roadmap for Search, Context Engineering, and Agent Building.
• Define and enhance the end-to-end developer and user experience across use-cases
• Collaborate with the team owning Elasticsearch and other engineering teams across Elastic to align priorities and make smart technology and design choices.
• Lead technical discussions with partners and customers to ensure our solutions meet real needs.
• Review and advise implementation designs.
• Evangelize the Search roadmap internally and externally.
• Mentor engineers and foster technical excellence.

What You Will Bring

• Proven experience as technical leader for large, complex engineering teams and projects.
• Deep expertise in Java/JVM, search technologies, context engineering, experience building complex distributed systems, or understanding of the inner workings of databases/datastores.
• Passionate about Search
• Able to reason about architecture at both high and detailed levels.
• Hands-on: comfortable coding, reviewing PRs, and staying close to the team’s work.
• Excellent communicator, collaborator, and problem solver.
• Operates with high autonomy.

Bonus Points

• Extensive technical leadership in search.
• Experience with the Elastic Stack.
• Built search products at scale.
• Open-source project leadership or major contributions.

Additional Information

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

XML job scraping automation by YubHub

At Elastic, our solutions are tailored to provide Observability, Cybersecurity, and Search AI, and we need a leader who is technically adept and can drive our teams to ensure our customers derive the most value from our offerings.

In this leadership position, the ideal candidate is a unique blend of a people-focused, business-driven, and technically-savvy leader. You will directly lead all aspects of a high performing team of Customer Architects.

Having an intimate understanding of our technical solutions is crucial to empathize with your team's challenges and derive strategic solutions.

The Director of Customer Engineering plays a pivotal role in representing Elastic at the forefront.

Given the intrinsic technical nature of our offerings, it's crucial for the Director to be proficient in the intricacies of our solutions, ensuring they can effectively communicate their value and drive consumption.

This role requires frequent face-to-face engagements, making it essential for the candidate to excel at in-person presentations, discussions, and building strong relationships rooted in technical trust.

With the need to partner with a wide array of customers, travel becomes inherent to this role. Candidates should be primed for 25% travel, geared towards promoting and amplifying the consumption of our Elastic solutions across the Americas.

Responsibilities

• Leadership: Lead and mentor Customer Architects, encouraging a culture of collaboration, innovation, and customer-centricity.

• Technical Acumen: Serve as the technical pillar of leadership, ensuring that the region's strategies align with the technical nuances of our solutions. A background in sales engineering leadership is beneficial.

• Strategic Planning: Employ both urgent and strategic approaches to address critical situations, instilling processes that address challenges at scale. Ensure that teams in the region are geared towards helping customers realize value and driving consumption.

• Market Knowledge: Leverage your experience with distributed datastores, and areas such as observability, cybersecurity, or search to bring depth to the team's understanding of the market. Experience in Vectors, Machine Learning, and GenAI will be an added advantage.

• Collaboration: Work in tandem with regional sales leaders, account teams, and other stakeholders to ensure seamless communication and alignment of objectives.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field highly preferred.

• Proven experience leading teams centered on consumption.

• Technical expertise in distributed datastores, and areas like observability, cybersecurity, or search. Familiarity with Elastic solutions will be a significant advantage.

• Familiarity or experience in the realms of Vectors, Machine Learning, and GenAI.

• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to a varied audience.

• Ability to balance urgency with strategic planning, ensuring teams are always aligned with company and customer objectives.

Compensation

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE).

On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting.

We may ultimately pay more or less than the posted range, and the range may be modified in the future.

An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.

Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.

Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $161,300-$255,100 USD

The typical starting Target Variable range for this role is: $69,000-$109,200 USD

The typical starting On-Target Earnings (OTE) range for this role is: $230,300-$364,300 USD

XML job scraping automation by YubHub

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

XML job scraping automation by YubHub