Senior Engineering Manager Data Platform Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Enterprise Solutions – Connected Stores team is building the next generation of in-store experiences, bridging physical retail with digital capabilities through cutting-edge hardware, software, and AI. We partner with enterprise retailers to deliver seamless, high-scale integrations that power magical shopping experiences for millions of customers and thousands of stores. As a Senior Solution Architect, you will own end-to-end technical design and solutioning for our enterprise retail partners, serving as the primary technical liaison across Instacart Product and Engineering while collaborating closely with partner technology and business stakeholders. You’ll work on first-of-a-kind challenges in the in-store physical AI space, translating business needs into scalable architectures that launch successfully and stand the test of time. This role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. You will be instrumental in designing, integrating, and implementing solutions on-premise as well supporting migrations of existing workloads to the cloud. The Senior Data Engineer is expected to have extensive knowledge of modern programming languages, designing and developing data solutions. The position is open in a data engineering team that is responsible for processing payer files into our Data Warehouse. Required Qualifications 6&#43; years of experience working with SQL and relational database management systems 3&#43; years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc. 3&#43; years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc. Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.</spa

Job Title Senior Supplier Quality Engineer Job Description The Senior Supplier Quality Engineer ensures supplier quality, compliance, and process capability across sustaining activities within Philips’ Image Guided Therapy Devices business. Your role: Serves as the primary Supplier Quality Engineering point of contact for the Colorado Springs, CO facility, providing on-site support ensuring timely alignment with site Quality, Manufacturing, R&D, Sustaining Engineering, Procurement, and supplier stakeholders. Leads and owns MSA, PFMEA, Control Plan, SPC, PV&V, FAI, IQ/OQ/PQ, and related APQP / PPAP activities to ensure supplier process capability, validation readiness, and compliance with quality requirements. Leads APQP / PPAP execution for supplier transfers, supplier changes, SICRs, and sustaining projects supporting the Fremont, CA manufacturing facility. Facilitates Design for Excellence collaboration between R&D, Sustaining Engineering, Manufacturing, and suppliers to improve design quality, manufacturability, supplier process robustness, and long-term product performance. Ensures Critical to Quality characteristics are clearly defined, flowed down to suppliers, validated through appropriate controls, and maintained throughout production. Leads supplier audits, including initial qualification, for-cause, and follow-up audits, to assess supplier compliance with applicable quality system requirements, regulatory expectations, process controls, and supplier agreement obligations. Leads supplier qualification activities for addition to the Approved Supplier List, including supplier capability assessment, quality system maturity evaluation, technical readiness, risk classification, approval documentation, and onboarding completion. Leads supplier-related non-conformance investigations, including defect

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Reporting to the Director of Global Vulnerability Management, you will serve as a Senior Security Research Engineer and technical lead within SIE’s Global Vulnerability Management team. You will lead complex work that advances our Threat Exposure Management capability and supports our transition to a Continuous Threat Exposure Management operating model, while remaining directly engaged in vulnerability research, analysis, security validation, prioritization, and remediation support. You will partner across Information Security, engineering, technology, and business teams to improve how SIE discovers, prioritizes, validates, and mobilizes action on security risks. You will translate annual TEM goals into defined workstreams, delivery plans, success measures, and repeatable operating practices that improve visibility, decision-making, remediation outcomes, and program scale. Responsibilities Lead complex Global Vulnerability Management workstreams that advance SIE’s Threat Exposure Management capability and transition toward a Continuous Threat Exposure Management operating model across discovery, prioritization, validation, and mobilization. Translate annual TEM goals into defined delivery plans, milestones, success measures, dependencies, and repeatable operating

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6&#43; years, or BS (or equivalent experience) with 8&#43; years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

Join our multidisciplinary team and help build and improve GPU and CPU accelerated data processing software libraries. Projects like DALI or nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Ideal candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you! What you’ll be doing: Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries. Providing technical leadership and guidance to library engineers working with you. Find opportunities to improve user experience and library performance. What we need to see: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience). 5&#43; years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA. C/C&#43;&#43; programming and software development skills. Proven experience in leading and completing software development projects. Strong collaboration, communicati

We at NVIDIA seek an Senior Developer Relations, Automated Synthetic Chemistry Science Lead who can coordinate science streams. This role exists at the crossroads of experimental science, optimization, analytical characterization, AI modeling, laboratory automation, and data infrastructure. It demands a practitioner with a background in research who can lead interdisciplinary science teams and accelerate experimentation without compromising scientific quality. What you'll be doing: Coordinate the operating plan across research priorities, technical execution, and program achievements. Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria. Lead research initiatives encompassing synthetic chemistry, catalysis, process chemistry, machine learning, automated systems, and data processing. Build standardized experimental traces capturing successful and unsuccessful outcomes, metadata, quality-control signals, analytical summaries. Guide AI systems for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration. Integrate automated experimentation, analytical data streams, data curation, model retraining, and campaign decisions into a closed-loop operating model. Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues. Prepare recurring workstream readouts for program leadership, including scientific progress, critical decisions, cross-team dependencies, resource needs, and unresolved risks. What we need to see: PhD (or equivalent experience) with 10&#43; years of hands-on experience in experimental science, chemical engineering, material science, robotics, a

About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds. About the job Goods & Services is looking for a Senior PMO who supports the coordination and delivery cadence of complex, multi-team client engagements. This role keeps program governance running smoothly—driving meeting discipline, tracking open issues to resolution, and ensuring accurate, actionable records across workstreams. What you’ll do: • Lead the planning, execution, and delivery of complex, cross-functional technical programs on behalf of client organizations, ensuring alignment with the client's business objectives, technical strategy, organizational priorities and team dynamics. • Drive definition of program scope, milestones, timelines, dependencies, resource requirements, and budget within the engagement's statement of work (SOW), while proactively managing risks, issues, and changes throughout the program lifecycle. • Understand, communicate, and execute program strategies that align with the client's enterprise architecture, security, compliance and operational standards. •

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable &#34;flight recorder&#34; for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as &#34;Hardware Fault,&#34; &#34;Software Bug,&#34; or &#34;Environment Issue.&#34; This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define &#34;signals of impending failure,&#34; enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6&#43; years in systems programming. Experience building automated

Position Overview: We are looking for a Senior Software Engineer to drive technical excellence, architect complex systems, and elevate our engineering team. You will own critical technical decisions, lead major initiatives from conception to delivery, and set the standard for engineering quality across our products. As a senior engineer, you will architect and lead the development of sophisticated AI-enabled features and infrastructure. This includes designing MCP server architectures, building advanced RAG systems, implementing agentic AI workflows, and establishing patterns that scale across our product portfolio. You will combine deep technical expertise in both traditional software engineering and AI/ML to deliver production-grade solutions. What You'll Do Lead the design and implementation of AI integration infrastructure (MCP servers, orchestration layers, API gateways) Build sophisticated AI features including advanced RAG systems, agentic workflows, and multi-step reasoning Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and implement quality benchmarks Debug and resolve complex production issues across traditional and AI systems Required Qualifications Tech Stack Core: Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 5+ years professional development with proven track record of delivering complex systems Strong Node.js and JavaScript/TypeScript expertise Advanced React and frontend architecture skills Extensive AWS architecture experience Expert PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices, distributed systems, and

Senior Malware Analyst (Media, Malware, and Analysis – MMA) US CITIZEN ONLY Job Type Full-time Location Annopolis Junction, MD Clearance Requirement TS/SCI with CI polygraph Position Description The Senior Malware Analyst provides advanced technical expertise in malware analysis, digital forensics, and cyber threat intelligence in support of USCYBERCOM cyberspace operations. This role directly supports operations across USCYBERCOM J3, Cyber National Mission Force (CNMF), and Joint Task Force-Ares (JTF-ARES), delivering critical insights into adversary tactics, techniques, and procedures (TTPs) targeting the Department of Defense Information Network (DODIN) and associated mission systems. The analyst performs deep technical analysis of malicious code, compromised systems, and digital media to identify threats, develop mitigation strategies, and enhance operational situational awareness. This position contributes to mission assurance, defensive cyberspace operations (DCO), and offensive cyberspace operations (OCO) by enabling timely, actionable intelligence and supporting enterprise cyber defense and exploitation capabilities. Key Responsibilities Conduct static and dynamic malware analysis , reverse engineering, and forensic examination of compromised systems and digital media to identify adversary TTPs and intrusion artifacts. Perform media exploitation and forensic analysis , including extraction and analysis of malicious files, logs, and system artifacts across Windows, UNIX/Linux, and network environments. Develop and disseminate technical intelligence reports, threat briefs, and executive summaries to support operational decision-making and leadership awareness. Identify and develop indicators of compromise (IOCs) , signatures, heuristics, and MD5 hash repositories to support detection and mitigation strategies. Analyze and correlate cyber threat intelligence (all-source, SIGINT, and technical data) to identify patterns, anomalies, and emerging thr

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS; Develop ADaM,specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan; Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts; Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) Create electronic submission packages to FDA, e.g., define.xml or define.pdf following FDA guidelines with no supervision. Expert-level in analyze information and develop innovative solutions to programming and data analysis challenges; Serve as point of contact (POC) of programming with statisticians for statistical input and analysis interpretation; Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiatives. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams; Review draft and final production deliverables for project to ensure quality and consistency. Work with global team or sponsors to coordinate project deliverables, timelines and resources. Skills and Responsibilities: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 5+years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Expert-level in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Expert level in applying concept in Artificial Intelligence and Machine Learning in real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical tria

Responsibilities: Annotate Case Report Form (acrf.pdf) following FDA/CDISC or sponsor guidelines. Develop SDTM specifications and generate SDTM datasets using SAS. Develop ADaM specifications and generate ADaM datasets using SAS based on Statistical Analysis Plan. Develop Tables, Listings, Graphs, Patient Profile in support of the Clinical Study Report, Posters, Manuscripts. Develop ADaM data, Tables, Listings, Figures for Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE). Create electronic submission package to FDA, e.g., define.xml or define.pdf following FDA guidelines with minimum supervision. Proficient in analyze information and develop innovative solutions to programming and data analysis challenges; Support the point of contact (POC) of programming with statisticians for statistical input and analysis interpretation Follow and reinforce regulatory agency requirements during daily job. Serve as a programming team lead and contribute to department initiative. Provide guidance, mentoring, training for team members and help solve issues from cross-functional teams. Review draft and final production deliverables for project to ensure quality and consistency. Skills and Qualifications: Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with at least 4+ years of clinical programming experience. Proven knowledge and training in high level computing languages such as. SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus. Proficient in decoding programming logic and assembling programming code based on logic provided and be able to explain to team members. Proficient in applying concepts in Artificial Intelligence and Machine Learning in the real world. In-depth knowledge of ICH, Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology. Good understa

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Security Operations Engineer – Attack Surface Management , you will help engineer, operate, and continuously improve our enterprise Attack Surface and Vulnerability Management capabilities. You will focus on discovering and understanding our attack surface, identifying vulnerabilities and exposures, prioritizing them based on real-world risk, and driving remediation across our global environment. The role spans Attack Surface Management, Vulnerability Management, Zero Trust, Secrets and Credential Security, SSPM, Deception, Detection Engineering and Security Automation. We are looking for engineers with strong ASM/Vulnerability Management fundamentals and deeper expertise in one or more adjacent security domains. WHAT YOU’LL DO Engineer and improve enterprise Attack Surface and Vulnerability Management across cloud, infrastructure, endpoints, applications, and internet-facing environments. Discover and correlate assets across security platforms and identify unknown, unmanaged, stale, and externally exposed assets. Drive risk-based vulnerability prioritization using asset criticality, exposure, exploitability, known exploitation, threat intelligence, and compensating controls. Establish remediation workflows and SLAs and partner with asset owners to drive measurable risk reduction. Operate and troubleshoot Zscaler ZIA/ZPA, including SSL inspection, access policies, connectivity, and Zero Trust controls.

Responsibilities Collaborate - Upholding CXD process, collaborating with product management and engineering to define and implement innovative solutions. Craft - Creating wireframes, storyboards, user flows, and process flows to effectively communicate interaction, design ideas and building application UI toolkits. Construct - Conceptualizing original ideas that bring simplicity and user friendliness to complex design roadblocks. Concentrate - Demonstrating attention to detail and problem-solving skills along with paying careful attention to staying on-brand. Convince - Presenting and articulating designs and key milestone deliverables to peers and executive level stakeholders. Minimum Qualifications A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Proficiency in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, tools, techniques, and technologies and their role in a commercial environment. 4-7 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.