Senior Design Quality Engineer Jobs

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have exper

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview As the Okta Research & Design (ORD) Jira Owner & Administrator , nested within the Technical Program Management (TPM) organization, you will define and execute the strategy for how ORD plans, tracks, and reports on engineering work within the full toolchain of Atlassian Jira, Jira Advanced Roadmaps (Plans), Confluence, Rovo, and AI integrations. In this role, you act as a critical bridge between product & technical leadership, agile teams, and cross-functional business units — translating methodology, best practices, and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person engineering, product, and design organization. By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD’s developer velocity and strengthen operational efficiency. Core Responsibilities 1. Platform Ownership & Strategic Tooling Direction Strategic Vision: Define, implement, govern an AI-led strategy for utilizing Jira for product planning, tracking, and reporting tooling that supports end-to-end portfolio tracking from high-level corporate objectives down to sprint-level stories. E2E Ecosystem Management: Complete ORD ownership of the toolchain (Jira, Jira advanced Roadmaps, AI integrations, Confluence), overseeing architecture, schema updates, workflow management, screen/notification schemes, cu

About Your Team Our Human Resources team operates as a strategic partner to the business, focused on cultivating a high-performance culture where exceptional talent thrives. Our work is fundamentally guided by the DICE (Democratize Internet Commerce for Everyone) mission, which underpins our approach to all people strategies. Our core mandate centers on two critical pillars: driving world-class Talent Density and continuously elevating Employee Experience. We achieve this by relentlessly attracting, developing, and retaining the highest caliber of professionals, ensuring that every individual contributes significantly to our success. Concurrently, we are committed to shaping an unparalleled employee experience—one defined by transparent communication, meaningful development, and a deeply engaging, inclusive culture. As stewards of the company's most valuable asset—its people—we design, implement, and champion people strategies that directly translate into sustained business growth and a position as one of India’s most sought-after e-commerce destinations. About Your Role As Senior Talent Partner, you’ll own our ongoing quest to discover talent, build a strong employment brand, and ensure great relationships with both candidates and stakeholders. You’ll be in charge of hiring for one of the businesses. You’ll own the recruiting strategy and drive execution. You’ll partner up with business stakeholders and work with them in closing monthly/quarterly/annual hiring requirements. You’ll also help in building a strong brand and support stakeholders in making the right recruiting decisions by providing necessary insights.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, inc

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own. The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages . We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine. Position Expectations Design, build, and deliver core components of the system in collaboration with other stakeholders Help shape architecture, development practices, and escalation policies as the teams and the product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization) 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... We are looking for an experienced engineer to join the Infrastructure Management and Automation team. In this role, you’ll help shape and build the tools, platforms, and automation that power and manage GoDaddy’s growing infrastructure footprint while leading the design of scalable solutions to complex operational challenges. Our infrastructure platform empowers GoDaddy engineers to help small business customers start, grow, and run their ventures. GoDaddy teams rely on our infrastructure solutions every day, whether for development workflows or hosting production workloads at global scale. If you enjoy solving complex technical problems, designing scalable systems, influencing technical direction, and improving how infrastructure is managed and automated, we’d love to hear from you! What you'll get to do... Lead the design and evolution of GoDaddy’s next generation of infrastructure management platforms and automation systems, taking ownership of complex technical areas from design through delivery and operation Leverage modern engineering practices and AI-assisted development workflows to rapidly design, build, and deliver scalable internal tooling and automation Design and build reliable services and integrations across infrastructure platforms and operational systems, including provisioning, networking, IPAM, DNS, CMDB, and asset management workflows Partner with engineering and operations teams to identify opportunities, shape technical solutions, and improve infrastructure reliability, scalability, utilization, and opera

About the Role Language Requirements: We prefer the hire to be Tri-Lingual with English, Spanish and Portuguese. English and Spanish are required. As a Senior Solutions Engineer at Amplitude, you'll be the technical quarterback for our most strategic opportunities in Northeast. You'll partner with Account Executives to win complex, multi-stakeholder deals by translating product capabilities into business outcomes that matter to Product, Marketing, and Analytics leaders. You'll lead technical discovery, architect custom proof-of-concept implementations, and serve as a trusted advisor to prospects navigating their digital analytics strategy. Your technical credibility and business acumen will directly influence the annual pipeline. What You'll Do Deal Execution (70% of time) Lead technical evaluation phases for deals ranging from 100K to 1M+ ARR Conduct deep discovery to map prospect workflows, tech stack dependencies, and decision criteria to Amplitude's differentiation Design and execute hands-on proof-of-concepts that prove value within the prospect's actual data and use cases Handle technical objections related to data architecture, privacy/compliance, and integration complexity Present to C-level executives and translate technical capabilities into ROI narratives Internal Collaboration (20% of time) Partner with Product Management to communicate feature gaps and customer requirements that affect deal velocity Work with Customer Success to ensure smooth handoffs and technical alignment during implementation Mentor junior SEs on technical positioning and demo best practices Thought Leadership (10% of time) Contribute to our competitive intelligence on tools like Google Analytics 4, Adobe Analytics, and Mixpanel Develop reusable demo assets, technical content, and proof-of-concept frameworks for the broader SE team What We're Looking For Required 5+ years in software pre-sales (SE, Sales Consulting, or technical Account Management roles) Language Requirements: Tri-L

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Datadog Notebooks provide customers with a collaborative surface for ad-hoc data analysis, technical documentation, incident postmortems and runbooks. The power and flexibility of Notebooks also makes it the perfect place to integrate AI tools that can augment user workflows. Our vision is that in Notebooks users can collaborate with each other and with AI agents seamlessly. We are looking for a product-oriented Senior Software Engineer to help build the AI-assisted workflows that are becoming central to how customers use Notebooks. In this role you will work closely with product and design, and own platforms for analysis workflows and context discovery. There is a real opportunity for impact here: turning Notebooks into the tool that helps customers go from uncertainty to answer, and making that knowledge retrievable and reusable across Datadog products. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Lead the design and delivery of AI-powered product experiences for Notebooks and adjacent surfaces Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments Provide technical leadership and mentorship while helping establish AI engineering best practices Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services Who You Are You have experience with Go,

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building integrations across multiple model providers. Experience with AW

Coder is looking for a Senior Staff Product Manager to lead our product management function and raise the bar for how we build. You will develop PMs, strengthen product execution, and help turn strategy into measurable outcomes for customers and teams. You will manage a small team of product managers while partnering closely with Engineering, Design, GTM, and executive leadership. You will coach people, improve systems, and keep product decisions grounded in real customer evidence. What you’ll do here Coach and develop product managers at every stage, helping strong executors grow into strategic leaders. Set a high bar for product discovery, planning, execution, and measurement. Partner with Engineering, Design, Customer Success, Sales, and Marketing to align priorities and deliver outcomes. Create clarity around product priorities, tradeoffs, and investment decisions. Build a culture of ownership, accountability, authority, and autonomy across the product organization. Lead customer discovery and ensure product decisions are grounded in objective evidence, not assumptions. Improve how the product organization operates, including planning, roadmap development, product reviews, and decision-making frameworks. Serve as a senior product leader and trusted partner to executive leadership. What we’re looking for Significant product management experience, including experience leading or managing product managers. A strong track record of coaching and developing PM talent. Excellent customer discovery and validation skills, including interviews that uncover objective insights and real customer needs. Sound judgment and pragmatism. You know when to optimize for outcomes, when to improve process, and how to balance strategy with execution. A strong sense of ownership and accountability, with the ability to build those qualities across a team. Clear communication skills and the ability to influence across functions, levels, and priorities. Experience operating in fast-moving

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. To provide substantive overlap with the team, this position must be in Eastern Time. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute.

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Join a team responsible for building the authentication and security solutions that help protect digital interactions across Mastercard's Identity Solutions platform. As a Senior Software Engineer, you will design, develop, and support secure, scalable, and high-performing applications that enable trusted identity verification, authentication, and fraud prevention capabilities. In this role, you will take ownership of complex technical challenges, contribute to software design and architecture decisions, and partner closely with product, security, and platform teams to deliver reliable, production-ready solutions. You'll play a key role in advancing engineering excellence through secure development practices, system reliability, automation, and continuous improvement while mentoring other engineers and influencing technical direction across the team. Role •Design, build, test, deploy, and maintain scalable, cloud-native applications and microservices •Develop REST APIs using Java and Spring Boot, focusing on performance, scalability, and reliability •Translate requirements into well-structured designs and architecture, ensuring maintainability and security •Lead and contribute to system design discussions, aligning with architectural standards and best practices<