Quality Management System Engineer Jobs

P-150 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks’ next-generation Search product. You’ll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You’ll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications — blending traditional information retrieval techniques, representation learning, and neural ranking. Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks. Check out our recent blog post: Reranking in Databricks AI Search for Faster, Smarter Retrieval in RAG Agents The impact you will have: Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Datab

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Staff Engineer who will be a key member of a new Systems team at Syllo that will own Platforms, Frameworks, Tools, Patterns, and Architecture. This person will not only contribute directly to technical design and implementation but also foster a collaborative, high-performing environment where engineers can grow, learn, and thrive. Responsibilities Design, implement, and manage scalable cloud-based infrastructure using Kubernetes, Pub/Sub, and other relevant technologies. Collaborate with our AI team to optimize data pipelines and integrate AI technologies to remove performance bottlenecks. Refactor existing systems to enhance scalability, including transforming stateful components into stateless ones, and applying extensive autoscaling and auto-repair mechanisms. Lead efforts on data ingestion and export processes, improving efficiency and reducing dependencies on legacy technologies. Drive platform reliability initiatives, including enhancing alerting, health checking, and incident management. Champion continuous improvement efforts, including cost control measures and technological upgrades. Oversee the development of internal tools that streamline workflows and reduce duplication of effort in development environments. Ensure the platform meets rigorous testing and security stand

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Sr. Software Engineer, you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality. Key Skill AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor' 5-7

Become a part of our caring community The Associate VP, Quality Engineering carries out procedures to ensure that all information systems products and services meet organization standards and end-user requirements. The Associate VP, Quality Engineering requires a in-depth understanding of how organization capabilities interrelate across segments and/or enterprise-wide. The Associate VP, Quality Engineering performs and leads tests of software to ensure proper operation and freedom from defects. May create test data for applications. Documents and works to resolve all complex problems. Reports progress on problem resolution to management. Devises improvements to current procedures and develops models of possible future configurations. Acts as information resource about assigned areas to technical writers. Performs complex work flow analysis and recommends quality improvements. Decisions are typically related to intradepartmental coordination, development and implementation of strategic plans, and business outcomes, and develops and implements strategic plans for the scope of management that are aligned with the Segment or Business strategy. Use your skills to make an impact Required Qualifications Bachelor's degree in a technology field Extensive experience in the information technology field Demonstrated success in leading and developing a team of associates. Expertise in software testing methodologies Record of success in leading quality improvement initiatives Certified Software Test Engineer (CSTE) designation. Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's degree in a technology field Additional Informa

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Quality Metro Real-time Defect Analysis (RDA) Engineer, you will be responsible for enabling robust quality monitoring, early detection, and rapid containment of quality risks across advanced packaging and NPI manufacturing environments. You will focus on leveraging RDA platforms, Statistical Process Control/ Fault Detection & Classification (SPC)/ (FDC) systems, automation, and data analytics to prevent escapes, accelerate learning, and improve product and process robustness, particularly during N ew Product Introduction (NPI) , pilot, and early ramp phases. This role acts as a critical bridge between Quality, RDA, Process, Equipment, and NPI teams, ensuring quality requirements are embedded into monitoring strategies and operational execution. You will work closely with Site and Global Quality, Process Integration, Equipment Engineering, and Automation teams to drive quality-focused diagnostics, excursion management, and continuous improvement in a high-change, high-learning environment. Job Responsibilities: Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational stan

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 5+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in applied c

Job Overview Wargaming is looking for a Manual QA Engineer to join the Global IT Products department and help ensure the quality of internal corporate systems and services. You will work with a variety of products, from web applications to complex microservices and integrations, applying testing approaches and techniques based on the specific needs of each product. The role offers an opportunity to work with complex business logic, large datasets, and different types of internal systems while taking ownership of the quality of products. We also value initiative: while the core tools and approaches are defined by each product's needs, we encourage QA Engineers to identify opportunities for improvement and suggest additional tools or practices when they can bring value to the product and team. Reports to Head of Quality Assurance What will you do Independent implementation of the full cycle of project testing (functional testing of web applications, microservices, API) Product testing without ready requirements Creation and maintenance of test documentation Acceptance of builds before releases, quality control of defect fixes Monitoring of reports on errors and failures Analysis and testing of project/product requirements Evaluation of testing work Participation in team meetings What are we looking for? 2+ years of experience as a QA Engineer Strong analytical skills and experience working with big datasets, calculations, corporate applications with complex business logic Experience in testing web applications and microservices Strong knowledge of testing methodologies and software development life cycles Understanding of client-server architecture principles Experience in writing test cases and checklists Experience with bug and task tracking, documentation, and test case management tools (Jira, Confluence, TestRail) Experience working with databases (PostgreSQL, MS SQL Server) and SQL Good Excel skills and experience working with data, calculations, and spread

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking an Integration Reliability Engineer to develop the methods that enable complex products to be assembled, integrated, tested, and fielded reliably throughout the product lifecycle. You will support integration strategy, build readiness, interface risk management, failure investigation, and reliability growth across product development and production. This role spans Design Engineering, Manufacturing Engineering, Test Engineering, Operations, Program Management, and field support. The work is hands-on and connected to integration builds, production environments, test activities, and hardware failure investigations in Victorville, Ca.. Key Responsibilities Define integration strategies that establish readiness for component, assembly, and production. Conduct risk assessments, and inspection plan reviews for complex products and assemblies. Develop and improve control plans, initial controls, and methods for integrating complete systems. Support component integration, built-to-print assembly, validation activities, and the transition from development into repeatable production. Monitor yield, build health, and process robustness to identify risks affecting throughput and product realization. Lead systemic root-cause and co

Salary Range: PLN 260,400 - 352,200 Subject to alignment to the responsibilities and duties of the role. About the job Help make Graphcore’s AI accelerators feel native inside modern Kubernetes environments. As a Senior Cloud Software Engineer, you will lead software that enables new AI accelerator hardware within Kubernetes. You will build Go applications that make complex hardware simple to deploy, manage and operate. Your work will help engineering teams integrate new hardware into existing clusters with a smooth Kubernetes experience. You will shape how users interact with Graphcore technology in cloud-native environments. You will design, build, test and maintain production-quality software, while guiding engineers through complex technical decisions. You will also help strengthen documentation, code quality and delivery standards. This role sits close to hardware, orchestration and cloud infrastructure. It offers rare ownership over software that connects AI compute with the systems used to run it. The team and culture You will work with engineers across cloud software, hardware, platform and infrastructure. The team turns complex integration problems into practical software that users can trust. Work happens through clear technical ownership, direct communication and fast feedback. You will be expected to lead by example, mentor others and raise the quality bar. Decisions are guided by evidence, engineering judgement and open discussion. You will have space to speak up, take responsibility and move important work forward. What we’re looking for Strong experience in software development, ideally with cloud environments or infrastructure platforms Proficiency in Go, with the ability to design, build and maintain reliable applications Deep Kubernetes experience, including container orchestration and cloud-native development Strong Linux knowledge and confidence troubleshooting complex technical issues A track record of delivering complex technical solutions and

Technology Partnerships Team at Datadog About the Role Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Engineer, you will be the technical bridge between Datadog and our partner developer community, acting as a consultant who helps partners build world-class monitoring solutions on the Datadog platform. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle from initial architectural design to final product integrations, and launching on the Datadog Marketplace. This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy, working directly with external developers and seeing your contributions immediately reflected in the Datadog ecosystem. What You’ll Do Technical Advisory: Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and MCP-based and API-based integrations and configurations. Co-Build: Partner closely with Datadog Partner, Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. Architectural & Code Review: Perform architectural assessments and deep-dive code reviews for partner integrations and marketplace repositories, ensuring they meet Datadog’s quality rubric. Technical Troubleshooting: Solve complex technical challenges for partners via dedicated technical consultations. Platform Advocacy: Identify friction points in the Datadog platform and partner with internal Product and Engineering teams to build a better developer experience. Documentation & Tracking: Maintain public-facing developer documentation including blog posts, and internal tracking systems to ensure transparency and scale. Market Awarenes

The Team We are Datadog’s in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential partners and ensuring that our integration ecosystem is high-performing, secure, and valuable. Partner Technology Solutions Engineers (TSEs) are the technical bridge between Datadog and our third-party developer community. We act as consultants, helping partners build world-class monitoring solutions on the Integration Developer Platform (IDP) . The Opportunity Datadog is looking for a Partner Technology Solutions Engineer to join our fast-paced team. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle—from initial architectural design to final publication on the Datadog Marketplace. This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy. You will work directly with external developers and see your contributions immediately reflected in the Datadog ecosystem. You Will Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and agent-based vs. API-based configurations Perform architectural assessments and deep-dive code reviews for partner integrations in the integrations-extras and marketplace repositories, ensuring they meet our Quality Rubric Solve complex technical challenges for partners via Zendesk, Slack, and dedicated technical consultations Identify friction points in our Integration Developer Platform (IDP) and partner with our internal Product and Engineering teams to build a better developer experience Maintain public-facing developer documentation and internal tracking systems ( JIRA ) to ensure transparency and scale You Are A technical expert with 3+ years of experience in a technical role (Support Engineering, Solutions Architecture, or Software Development) Proficient in at least one language (Python or Go preferred) An observability enthusiast who unders

About the job Spend your summer turning technical knowledge into tools that help data center teams work with confidence. As a Knowledge Management and Training Project Intern, you will support the Technical Services team in Austin. You will help build clear documentation, training materials and knowledge resources for data center engineering environments. You will work with engineers, operational teams and subject matter experts to turn complex information into usable guidance. Your work will help colleagues understand current processes, onboard faster and apply information with confidence. This is a 12-week, full-time summer internship, planned for May to August. You will own defined project tasks with guidance, feedback and support from experienced team members. You will gain practical experience in documentation, training content, knowledge systems and project coordination. The team and culture You will work with a team that supports the infrastructure used to develop and test the next generation of AI systems. Work happens through clear briefs, expert input, structured reviews and regular feedback. You will be trusted to organize information, ask useful questions and improve how knowledge is shared. Decisions are made through accuracy, clarity, user feedback and alignment with the right subject matter experts. The team values people who think big, act fast, take responsibility and speak up. As an intern, you will build confidence by helping technical teams make complex information easier to use. What we’re looking for Current enrollment in a bachelor's or master's degree program in communications, information management, business, learning and development, technical communication or a related field Strong written communication skills and the ability to organize information clearly for different audiences Careful attention to detail, with a commitment to accurate, high-quality work Ability to follow established processes, incorporate feedback and ask questions wh

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unlock AI. We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time. This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB. We are looking to speak to candidates who are based in Mexico for our hybrid working model. What you’ll do Design performance and benchmarking workloads that reflect realistic customer or product scenarios Build and improve production-quality internal tooling, test harnesses, automation, and reusable workload components Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed Run benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatability Analyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearly Translate broad business or engineering questions into scoped technical plans, success criteria, and execution milestones Partner closely with Engineering, Product, Sales, and other stak

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. At Ema, we build AI Employees that operate inside the enterprise. Healthcare is where the bar is highest: the output has to be accurate, auditable, and clinically sound. We're opening a part-time role focused on agent measurement and improvement. You'll instrument how our healthcare AI Employees perform in production, identify where quality breaks down, and design the experiments that close the gap — partnering with clinical experts to ensure improvements translate into better patient outcomes, not just better metrics. We're looking for strong analytical judgment (Python, agent lead development), comfort operating with incomplete information, and genuine interest in the healthcare domain. Clinical experience is valued but not required. This engagement is structured as a paid internship or contract engagement, with weekly syncs in our Bay Area office. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities t

A Career with Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What You’ll Do We are passionate about data. We collaborate to build elegant, effective, scalable, and highly reliable solutions to empower predictive modeling in finance. You will join a team that plays a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe. Specifically, you will: Serve as a frontline owner for thousands of mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with portfolio managers, data scientists, and external data vendors. Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What’s Required Bachelor’s degree with a focus in computer science or a related field. Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments; familiarity with Databricks is a plus. Exceptional attention to detail with a strong appreciation for well-defined processes and systems. 3+ years of experience in a client-facing support or operations role. Excellent organizational, communication, and interpersonal