Process Integration And Yield Enhancement Engineer Jobs

About the Role: We're looking for a Senior QA Engineer to drive quality across multiple concurrent projects, partnering closely with product and engineering to catch risks before they reach production. This role blends hands-on manual and automated testing with process ownership and mentorship of others. Specific responsibilities: Review and validate requirements and technical specifications; partner early with product managers and developers to define acceptance criteria and ensure testability Design and execute test cases covering functional, integration, regression, API, and end-to-end testing across web and mobile (Android/iOS) applications Write manual and automated tests; work with the Test Automation team to build and maintain automated test suites Log, track, and perform root cause analysis on defects through full resolution Document test results and provide observations on product quality and process improvements Establish and monitor QA KPIs; support and enhance test processes and reporting Manage testing efforts across multiple projects under tight deadlines with minimal supervision Mentor and support fellow QA Engineers Leverage AI-powered tools to improve test coverage, accelerate defect analysis, and support overall test efficiency [see note below] What you’ll need: Minimum of 7+ years of quality assurance experience Strong understanding of QA methodologies, defect lifecycle, and SDLC/STLC Experience with Agile software development methodologies Experience writing test cases in BDD/Gherkin syntax Hands-on experience with at least one test management tool (e.g., Jira/Xray, TestRail, Zephyr) Preferred Qualifications 2+ years building automated tests with Playwright and TypeScript Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins) Familiarity with AI-assisted testing tools (e.g., AI-generated test cases, code-assist tool

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. At Appian, we support our federal customer’s mission by delivering solutions using our cloud-based platform technology. Appian’s Customer Success organization works closely with our federal customers, advising and supporting them on how to architect and deliver Appian based-solutions. To support this goal, Appian Customer Success, is looking for an Solution Architect to help us to grow our federal business and work closely with customers to design integrated solutions and make compelling offers. As a Solution Architect supporting the Department of War, you will serve as a key technical leader within Appian’s Customer Success team and a trusted advisor to mission, program, and technology stakeholders. In this role, you will define integrated Appian solutions that support DoW modernization priorities, using Appian as an agility layer to connect mission processes, legacy systems, enterprise data, and operational workflows. You will help customers design solutions that leverage Appian platform capabilities, including process automation, case management, integration, and Data Fabric, to improve mission outcomes across DoW business, logistics, readiness, acquisition, and enterprise information environments. To be successful in this role, you will: Advise customers on the technical design, architecture and implementation of Appian solutions on a customer’s private cloud or on-premise hosting solution, and/or integrating Appian government cloud offerings with the customer’s infrastructure Support the sales cycle through the creation of high-value, dif

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Sitting within the broader Safety & Customer Care team, Lyft's Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Director of Business Planning & Central Operations is a newly created role at the center of how Customer Care runs and grows. This leader will ensure the org is resourced and positioned for the future, and will own the functions that keep Customer Care financially disciplined and execution-ready. Reporting to the Senior Director of Customer Care Operations, they will lead five functions: Planning & Forecasting, Workforce Management, Readiness & Integration, Vendor Management, and Support Excellence. What You'll Do Business Planning & Strategy Partner with the Senior Director to drive H1 and H2 planning — translating annual objectives into operational plans, investment decisions, and resource models. Lead the investment brief process: sizing opportunities, articulating trade-offs, and building the business cases that secure resourcing for strategic priorities. Drive capacity planning, scenario modeling, and long-range forecasting to ensure the internal and external workforce scales efficiently alongside platform growth and AI adoption. Define and operationalize OKRs across the portfolio, then build the rhythms and infrastructure — scorecards, business reviews, and performance dashboards — that hold teams accountable and give leadership clear visibility into progress and outcomes. Growth & Integrations Lead operational readiness for major product launches, external partnerships, and

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. At Appian, we support our federal customer’s mission by delivering solutions using our cloud-based platform technology. Appian’s Customer Success organization works closely with our federal customers, advising and supporting them on how to architect and deliver Appian based-solutions. To support this goal, Appian Customer Success, is looking for an Solution Architect to help us to grow our federal business and work closely with customers to design integrated solutions and make compelling offers. As a Solution Architect supporting the U.S. Army, you will serve as a key technical leader within Appian’s Customer Success team and a trusted advisor to Army mission, program, and technology stakeholders. In this role, you will define integrated Appian solutions that support Army modernization priorities, using Appian as an agility layer to connect mission processes, legacy systems, enterprise data, and operational workflows. You will help customers design solutions that leverage Appian platform capabilities, including process automation, case management, integration, and Data Fabric, to improve mission outcomes across Army business, logistics, readiness, acquisition, and enterprise information environments. To be successful in this role, you will: Advise customers on the technical design, architecture and implementation of Appian solutions on a customer’s private cloud or on-premise hosting solution, and/or integrating Appian government cloud offerings with the customer’s infrastructure Support the sales cycle through the creation of high-value, diff

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business. 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: Partner with Accounting, FP&A, Tax, and other Finance stakeholders to gather requirements and translate business needs into scalable reporting and analytics solutions. Collaborate with cross-functional teams including IT, Business Systems, Sales Systems, and Analytics to drive data and automation initiatives. Build and maintain dashboards and reporting tools that monitor financial and operational performance and support evolving business priorities. Automate recurring finance processes and enhance data workflows using AI tools, data visualization platforms, and custom solutions. Support financial system implementations and upgrades through data migration, mapping, reporting integration, testing, and validation activities. Deliver analytical insights and maintain documentation that enables self-service reporting and informed decision-making across Finance. Who You Are: Have 2-6 years of experience in data analytics, financial systems, finance operations, or a rel

Senior Backend Engineer (Python / Go) Overview We are seeking a skilled and passionate Senior Backend Engineer to join our team, focusing on the design, development, and maintenance of high-performance, scalable microservices. The ideal candidate will have strong expertise in Go (Golang), and a deep understanding of distributed systems architecture. Essential Qualifications Technical Skills Skill Category Requirement Proficiency Level Programming Languages Python (Deep expertise with frameworks like FastAPI, Flask, or Django) Advanced Programming Languages Go (Golang) (Experience building robust, high-concurrency microservices) Expert Microservices / Architecture Designing, developing, and deploying RESTful APIs Expert Security Keycloak, API authentication, JWT Advanced Databases Realtime analytics (Clickhouse) Advanced Databases Relational databases (MySQL) including complex query optimization Advanced Databases NoSQL databases (Redis) Advanced Containerization / Orchestration Kubernetes for deployment and scaling Advanced Containerization / Orchestration Docker container build Advanced Testing Writing comprehensive unit, integration, and end-to-end tests Advanced Core Experience 7+ years of professional experience in backend software development, with a significant focus on building and operating microservices in a production environment. Proven ability to work with and contribute to large-scale, distributed systems. Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling. Desired Qualifications Process & Tools CI/CD: Experience setting up and maintaining automated deployment pipelines Observability: Proficiency with monitoring and logging tools Source Control: Expertise in Git and collaborative workflows Architecture & Design Familiarity with event-driven architectures and streaming data processing Experience with security best practices in API design (e.g., OAuth 2.0, JWT, input validation) Knowledge of perform

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate

We are seeking a hands-on Senior Workday Platform Engineer within the G&A IT Applications team to serve as the primary technical owner of the Workday platform across HCM, Payroll, Recruiting, Prism Analytics, Illuminate (AI/ML), integrations, security, and release management. This is a builder-first role. You will configure, develop, integrate, and operate within Workday while partnering closely with HR, Payroll, Finance, and IT stakeholders. You own the technical platform layer configuration, integrations, security architecture, governance, and release discipline, while HR and Payroll retain ownership of sensitive data and business policy logic. Key Responsibilities Platform Ownership & Delivery: Own technical execution across Workday HCM, Payroll, Recruiting, Prism Analytics, and Illuminate. Translate business requirements into phased technical delivery plans. Manage sandbox strategy, tenant lifecycle, and biannual release readiness. Hands-On Configuration & Development: Configure HCM and Recruiting modules.Build advanced reports (matrix, composite, BIRT), calculated fields, validations, and business process frameworks. Leverage Workday Extend to design and build lightweight custom applications that enhance core workflows. Maintain scalable security models and governance standards. Integrations & Architecture: Build and maintain integrations (EIB, Studio, REST/SOAP APIs, RaaS). Integrate with applications like ERP, identity providers, benefits carriers, and third-party systems. Ensure secure, reusable integration frameworks with monitoring and error-handling discipline. Analytics, AI & Automation: Implement and manage Workday Prism Analytics datasets and dashboards. Enable Workday Illuminate capabilities and intelligent workflows. Drive automation while maintaining audit and compliance standards. Security & Compliance: Own Workday security architecture and least-privilege acc

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role : We are looking for a curious, smart and “learn it all” Architect with proven experience and a passion for designing solution architectures for our prospects and customers to support and help our growing sales team to achieve revenue goals. You work with the technical teams at our prospects and customers to design an architecture for the integration of our products that will meet their performance, data/information security and business requirements; you will unlock technical blockers that can slow down the adoption of our products and partner closely with our Sales and Value Engineering teams as well as our Product Management, Data Ops and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling and contribution to overall sales team and business success. The work you’ll do: Lead and define the overall architecture, data and cloud strategy for our largest client accounts Engage with customers C-level their strategic objectives with the Celonis technical strategy Be the bridge between our product & engineering teams within Celonis w

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will get us to market faster and result in a superior customer experience. The Developer Experience team at Zoox is dedicated to improving the process of developing autonomy software, services, and applications. We define and enforce the best practices for engineering across the company. Our approach involves using established programming languages, and tools and, when necessary, developing our own. We're leveraging Large Language Models (LLMs) to improve development velocity and streamline engineering workflows. We're looking for an engineer with firsthand experience as a full-stack developer, who knows the engineering challenges at scale and feels comfortable designing and implementing solutions to address them. In this role, you will: Architect and implement LLM-powered solutions using frontier models like Claude, Gemini, GPT. Build tools that leverage AI and improve engineer productivity by 10x through intelligent code assistance, automated code review, and improving zoox’s operational efficiency. Develop systems to automate mundane development tasks like boilerplate generation, test creation, and code refactoring. Create intelligent workflows that leverage LLMs for bug detection, security vulnerability assessment, and code optimization. Bridge the divide between developers' needs and infrastructure solutions while establishing best practices for responsible AI integration in our development pipeline. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 7+ years of industry experience. Solid experience as a full-stack or backend developer, showcasing a deep understanding of system design, data structures, and algorithms. Fluency in at least one of the following languages: Python or C++. Exper

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking an experienced and motivated Senior Software Engineering Manager to drive the strategic execution and delivery of enterprise platform technology, ensure alignment with business objectives , seamless integration, compliance with regulations, and operational excellence. Our Impact : Enterprise Business Technology Office (EBTO) support s multiple verticals by crafting and creating solutions to a variety of technology challenges. This support takes many forms, including delivering automation solutions by building and enhancing software applications using Business Process Management and Low Code Application Platforms required for Internal Audit, Legal and various other divisions at Freddie Mac. Enterprise Business Technology portfolio delivers foundational technology capabilities that power secure, scalable, and innovative technology for the organization using best-in-class tooling and standards across multiple functional domains. Your Impact: As a Senior Software Engineering Manager , you will lead the evolution of our C

About the Team The New Vertical Onboarding Strategy & Operations team drives a fast, seamless onboarding experience for merchants across the SMB segments. We collaborate closely with cross-functional partners to enhance visibility, streamline workflows, and reduce onboarding friction through scalable process and product improvements. Our mission is to ensure every merchant launches smoothly and efficiently, powered by data-driven insights and strong operational alignment. About the Role The SMB Onboarding Strategy & Operations (S&O) role focuses on improving the end-to-end onboarding experience for small and medium-sized merchants by identifying process inefficiencies, building visibility tools, and driving scalable solutions across cross-functional teams. This role acts as the single-threaded owner for SMB onboarding, ensuring merchants are launched quickly, accurately, and with minimal friction through data-driven insights, process automation, and clear ownership alignment. Key Responsibilities Process Visibility & SLA Tracking: Build dashboards to monitor true onboarding timelines, identify delays, and surface insights to inform process and tooling improvements. Root Causing Blocked Cases: Develop a shared tracker for blocked cases, analyze trends, and work with cross-functional partners to resolve issues and implement sustainable fixes. Integrations Enablement: Design and refine onboarding workflows for new integration types (e.g., Shopify), and establish scalable processes as SMB Retail expands in 2026. Product & Tooling Guidance: Translate workflow gaps into actionable product requirements for systems like SFDC, and advocate for automation that reduces manual work. Cross-Functional Collaboration: Partner with MXO, GTMT, IA, Sales, and Product to ensure end-to-end alignment on onboarding priorities and execution. Data & Insights: Create and maintain onboarding performance dashboards to measure success and track progress toward SLAs and O

MongoDB's Global Security Organization (GSO) is looking for a Principal Security Engineer. The GSO secures MongoDB's products, infrastructure, and the trust our customers place in us — spanning product security, corporate security, and risk, and working across engineering, go-to-market, and corporate development to keep security moving at the same speed as the business. The Principal Security Engineer will serve as a senior technical anchor for the team. This is a deep individual-contributor role that will stay hands-on with hard security and architecture problems, form sharp independent opinions, and know how to debate, align, and commit once GSO has made a call. Key topic areas will include collaborating with our product teams to ensure identity and permission models meet customer needs for our new autonomous agent platform and working with integration security teams to push the envelope on automated detection, reproduction, and remediation of security vulnerabilities via AI. What we need here is depth, judgment, and the ability to build up the bench of senior technical talent around you. This role can be based out of our NYC or Seattle office or remotely in the North America region. Responsibilities Maintain real technical depth in security and in MongoDB's product architecture — compute, network, and storage — deep enough to evaluate actual risk rather than apply generic best practice Form independent, well-reasoned opinions on security and architecture decisions, and voice them even when they cut against consensus or a leader's default plan Push teams to move faster when process or over-engineering is introducing complexity without reducing risk — and push teams to slow down when GTM pressure is outrunning a clear-eyed view of the risk Debate hard, then align, then commit: help the org land on the right call, then execute on it Seed and grow a working community of senior ICs embedded in security operations, product security, and enterprise sec

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. What is the opportunity? As a Principal Azure Platform & Cloud Operations Architect, you will play a hands-on role in strengthening how Zafin runs critical production systems on Azure. You will assess current cloud operations processes and platform architecture, identify opportunities for automation and improvement, and implement operational patterns that improve reliability, scalability, and delivery confidence. In this role, you will also serve as the escalation subject matter expert for complex technical roadblocks, particularly across AKS, Azure networking, and deployment workflows, helping the team resolve issues while building more mature and repeatable operating practices. What will you do? Cloud Operations and Platform Reliability Assess current operational workflows, including provisioning, deployments, incident response, and change management, and implement automation, process improvements, and operational guardrails that reduce manual effort and improve reliability. Lead the architecture and operational maturity of Azure Kubernetes Se