Systems Engineering Support Analyst Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you'll do As part of our growing, global Product Support team, you'll be a critical driver in delivering excellent user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, problem-solving mindset, and project management skills to strategically improve our support systems, processes, and product quality. You'll own complex technical user issues and coordinate with cross-functional teams, including Engineering and Product, to drive them to resolution. A deep understanding of SQL and APIs allows you to engage with these teams effectively, analyse data to inform decisions, and propose solutions that drive operational efficiency. Your work focuses on scaling support operations, creating better user experiences, and pushing forward continuous improvements that align with our key metrics, such as Consumer Satisfaction (CSAT), Contact Rate, and Service Level Agreements (SLA). Responsibilities Analyse and troubleshoot complex technical issues through direct user interaction (email, phone), utilising SQL to extract and interpret data, and leveraging your knowledge of API documentation. Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues. Strategically optimise and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics. Lead continuous improvement ini

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead

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. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just comp

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Job Summary As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions. This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org. Key Responsibilities AI-Powered Automation Design & Development Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows. Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions. Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk w

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes. Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency Maintain team resources and

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our mission is to enable effective financial decisions through reliable data, increased efficiency, and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance and Strategy (F&S), Finance Operations (FinOps), and Treasury functions across automation, data insights, and process improvements. You may work on a wide variety of critical business areas including Seller Systems — Responsible for building the systems and tooling that make sellers and internal revenue teams at Stripe dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single "plane of glass" selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling. Finance Engineering — Responsible for building the robust and scalable infrastructure that powers

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 Team: Celonis Support Services team operates a 3-Level Support model, which includes a dedicated highly-trained team of Celonis experts located in our Celonis Support Centre. Our support engineers are familiar with the common challenges organisations face when deploying Celonis software and are able to quickly diagnose and support the questions regarding product-related issues our customers face and provide technical support for Celonis On-Premise and Cloud-based products. You will report directly to the Team Lead Customer Support and you will be based in Bangalore, India. The Role: As a core function of the position, you will be responsible for the analysis, diagnosis, and recovery of complex technical issues. This will involve close engagement and interaction with our Product and Engineering teams and at times with our customers. The work you’ll do: Provide in-depth technical support for customer issues across one or more product areas of the Celonis Platform Drive and resolve complex Tickets according to ITSM processes Qualify problems or defects for close collaboration with Celonis Development and Product Management Participate and drive regular Root Cause Analysis (RCA) cycles to improve our Support Knowledge base Contribut

Please send CVs to [email protected] with “202 7 KEPL Application” in the subject line. About 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. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding into new markets and assets classes. Role: We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our research infrastructure which will take our research and trading capability to the next level. Responsibilities: Conduct quantitative research to support the team’s investment process. Build technologies that bolster research & trading productivity. Develop, maintain, and improve the production trading capacity. Expand the system to new markets and asset classes. Requirements: Master or PhD degree in math, physics, computer science, engineering, or other related discipline. 1-3 years of prof

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and fi nancial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Sta ff Software Engineer,Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will... Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because... 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects 6+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Pro fi ciency in programming languages such as Python/Kotlin/Scala 4+ years of experience in ETL orchestration and work fl ow management tools like Air fl ow Expert in database fundamentals, SQL, data reliability practices and distributed computing 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming Excellent communication skills and experience working

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. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just comp

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Quality Assurance & Quality Engineering (PQA / PQE) in MTB, you will be responsible for driving product and in-line process quality for Back End manufacturing. This role focuses on establishing effective quality processes and data-driven methodologies to identify, analyze, and mitigate quality risks across assembly, test, and probe operations. You will work closely with Manufacturing, Assembly/Test Engineering, Product Engineering, and Global Quality teams to improve outgoing product quality, manage deviations, support qualification activities, and ensure robust correlation between in-line inspection, probe results, and customer quality requirements, enabling Micron to deliver best-in-class product quality. Additionally, this role will leverage AI, advanced analytics, and digital technologies to transform quality management from reactive issue resolution to predictive and preventive quality intelligence. The role will drive systemic root cause learning, quality knowledge management, and lesson-learned fan-out across both High Volume Manufacturing (HVM) and New Product Introduction (NPI) programs, enabling quality-by-design practices throughout the product lifecycle. Responsibilities and Tasks Drive product and process quality improvement through structured problem solving, data analysis, and continuous improvement initiatives. Leverage AI, advanced analytics, and quality intelligence systems to identify systemic failure modes, accelerate root cause learning,

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Product Quality Assurance & Quality Engineering (PQA / PQE) in MTB, you will be responsible for driving product and in-line process quality for Back End manufacturing. This role focuses on establishing effective quality processes and data-driven methodologies to identify, analyze, and mitigate quality risks across assembly, test, and probe operations. You will work closely with Manufacturing, Assembly/Test Engineering, Product Engineering, and Global Quality teams to improve outgoing product quality, manage deviations, support qualification activities, and ensure robust correlation between in-line inspection, probe results, and customer quality requirements, enabling Micron to deliver best-in-class product quality. Additionally, this role will leverage AI, advanced analytics, and digital technologies to transform quality management from reactive issue resolution to predictive and preventive quality intelligence. The role will drive systemic root cause learning, quality knowledge management, and lesson-learned fan-out across both High Volume Manufacturing (HVM) and New Product Introduction (NPI) programs, enabling quality-by-design practices throughout the product lifecycle. Responsibilities and Tasks Drive product and process quality improvement through structured problem solving, data analysis, and continuous improvement initiatives. Leverage AI, advanced analytics, and quality intelligence systems to identify systemic failure modes, accelerate root cause learning,

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Snowflake Architect in Data Solutions, you'll lead pre-sales, estimation, scoping, design, and delivery of modern analytics solutions on Snowflake. You'll act as a hands-on architect and delivery lead on your own projects, while also providing technical guidance and people leadership to team members deployed across multiple client engagements. Architecture & Delivery Own end-to-end Snowflake solution architecture: data modelling, warehouse sizing and cost optimization, RBAC/security design, data sharing, and performance tuning Lead the data engineering lifecycle - research, POCs, architecture, design, development, testing, deployment, and maintenance Design and build POCs for modern analytics stacks across cloud-based business systems for prospective clients Translate client business needs into technical solution designs and actionable recommendations for platform, structural, or logic issues Manage day-to-day technical relationship with client stakeholders on active engagements Pre-Sales Lead technical workstreams in pre-sales: estimation, scoping, solution proposals, and orals/proposal defense sessions Partner with other practices on cross-functional solution plays and pre-sales activity Support sales cycles by leading solution presentations and building

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Advanced Packaging Technology Development Manufacturing Development Engineering (MDE) Senior Manager , you will lead the MDE organization supporting DLT, MRDA, and WLT process development execution within APTD. The APTD MDE organization serves as the execution engine of technology development by enabling rapid learning cycles, maximizing development velocity, and providing scalable 24/7 execution support across advanced packaging technology development programs. In this role, you will provide organizational leadership, strategic direction, operational governance, and technical oversight to accelerate technology learning and ensure safe, predictable, and efficient development execution. You will establish and continuously improve the MDE operating model, workforce strategy, organizational capability, and execution systems required to support future technology roadmaps. In support of Micron's AI transformation strategy, this role is expected to champion AI-enabled ways of working, promote responsible adoption of AI and automation technologies, and build organizational capability in leveraging AI, data analytics, and digital solutions to improve decision quality, operational effectiveness, workforce productivity, and technology development execution. You will work closely with Technology Development, Manufacturing, Product Engineering, Equipment Development, Quality, and other cross-functional organizations to accelerate technology readiness and achieve business objectives.