Technical Community Lead Jobs

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. We are passionate about advancing semiconductor manufacturing through innovation, collaboration, and continuous improvement. Our Process Integration team plays a critical role in enabling leading-edge DRAM technologies by optimizing processes, improving yield, and driving manufacturing excellence. We foster a culture of technical curiosity, data-driven decision making, and cross-functional partnership. As a Fab RegE Process Integration Engineer (Bevel/Backside Focus), you will lead the development, optimization, and sustainment of RegE, bevel, and backside processes that directly impact product quality, yield, and reliability. This role offers the opportunity to solve complex manufacturing challenges, influence future technology nodes, and work closely with Process, Equipment, RDA, and Manufacturing teams to deliver innovative process solutions. Responsibilities: Develop and optimize RegE, bevel, and backside process technologies to improve yield, quality, reliability, and cost performance Lead process improvement initiatives, utilizing data-driven methodologies to identify, diagnose, and resolve manufacturing challenges Monitor and improve process health metrics, defect control strategies, and process capability to strengthen manufacturing robustness Partner with cross-functional teams to investigate process abnormalities, implement corrective actions, and mitigate manufacturing risks Support technology development, qualification, and transfer activities by deploying best-known methods

Job Details: Job Description: Shape the Future of Confidential Computing! Join Intel's elite engineering team to validate TDX (Trusted Domain Extensions) - a breakthrough technology redefining security and virtualization. Work on one of the industry's most complex and impactful products, where functional validation meets deep technical innovation. Why You'll Love This Role: High Impact: Ensure the reliability of TDX, a cornerstone of Intel's confidential compute. Deep Technical Challenge: Validate across the stack-firmware, OS, drivers, middleware, SDKs, and apps. Code-Driven: Build frameworks, automation, and reference implementations. Innovation at Scale: Operate at the intersection of security, virtualization, and cloud. Career Growth: Collaborate with world-class engineers on advanced architectures. Qualifications: Minimum Qualifications: Education BSc or MSc in Computer Science, Computer Engineering, or Electrical Engineering. Experience 5-7 years in software/hardware validation or verification. 5-7 years coding in higher-level languages: C or C&#43;&#43;. Skills Proficient in English. Excellent communication and teamwork skills. Strong analytical and problem-solving abilities. Preferred Qualifications: Operating Systems and Virtualization Pre/Post-Silicon validation Specman experience What we offer: At Intel, employees share in successes, enjoy comprehensive rewards and are inspired by an innovative & inclusive workplace. What can you expect when there is a match between us? <li

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 Drive the global optimization and strategic evolution of Everpure’s supply chain network to ensure maximum operational efficiency, cost-effectiveness, and sustainability. In this high-impact technical leadership role, you will bridge industrial engineering rigor with data-driven decision-making, setting the analytical direction for network modeling to guide executive-level expansion and transformation plans. You will lead cross-functional initiatives across landed cost, service levels, manufacturing process capabilities, and CO2 emissions tracking while aligning closely with IT, hardware engineering, and global operations teams. WHAT YOU’LL DO Guide Network Modeling & Strategic Decision-Making: Define scenario logic, digital twin framing criteria, and tradeoff analyses for the team's Network Design Modeler, translating operational data into defensible strategies for total landed cost, service levels, CO2 emissions, and go-to-market (GTM) readiness. Assess & Level Supply Base Capability: Evaluate and align global contract manufacturers (CMs) and facilities using JDM design RFQ processes, L6/L10 manufacturing maturity, test infrastructure, and resiliency criteria to ensure site-to-site process equivalency. Drive End-to-End Supply Chain Transformation: Lead multi-workstream transformation projects from inception to closure using Agile/Scrum and Waterfall frameworks to optimize technical scope, operational bud

About the team The Frontier Assurance team strengthens OpenAI’s safety decisions through independent expertise, rigorous assessment, and public transparency. We coordinate external evaluations of frontier models and safeguards, develop approaches such as embedded auditing, and manage the misalignment disclosure process and safeguard testing. Our work helps independent experts scrutinize OpenAI’s safety approach and ensures their findings inform consequential decisions about advanced AI systems. About the role As a researcher on Frontier Assurance, you will build the technical foundations for rigorous assessments of frontier AI risks. You will help design technical assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. You will work closely with external evaluators and embedded auditors, helping them understand the systems they are assessing and access the models, data, and technical information their work requires. Where direct access is not possible, you will conduct experiments and analyses on their behalf, with methods and results they can meaningfully scrutinize. This role combines research engineering, experimental design, and close technical collaboration. You will move between investigating specific safety questions, navigating complex internal systems, and building reusable tools that make assessments more thorough and efficient. Your work will help turn independent scrutiny into concrete evidence about model capabilities, safeguards, and remaining risks. In this role, you will: Help design assessments with external evaluators and internal teams: identify consequential safety claims to test, define the evidence and methods needed to assess them, and address gaps in coverage. Support the technical execution of third-party assessments and embedded audits focused on frontier risks, working with evaluators to translate research que

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Facilities Operations Supervisor at SpaceXSI Memphis, you will oversee the maintenance and performance of critical data center infrastructure, including power, cooling, and environmental systems. You will lead a team of Facilities Operations Technicians, driving hands-on technical operations, team leadership, process optimization, and cross-functional collaboration to ensure the reliability and efficiency of our data center. This role emphasizes fostering a team-first culture, prioritizing team focus, and promoting a collaborative work environment. RESPONSIBILITIES: Lead and mentor a team of Facilities Operations Technicians, fostering a culture of excellence, collaboration, and continuous improvement. Oversee maintenance, monitoring, and troubleshooting of data center infrastructure, including HVAC, power distribution, and backup systems. Develop, implement, and optimize preventive maintenance schedules, equipment calibration, and system performance monitoring. Create and enforce standard operating procedures (SOPs) to ensure operational consistency and efficiency. Ensure compliance with safety regulations and industry standards. Collaborate with engineer

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 financial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us 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… 3+ years of professional experience 3+ 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 Proficiency in programming languages such as Python/Kotlin/Scala 3+ years of experience in ETL orchestration and workflow management tools like Airflow Expert in database fundamentals, SQL, data reliability practices and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools Comfortable working in

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join us as our next Senior Solutions Engineer on Twilio’s Regulated Verticals Communications team! About the job At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion mean that no matter your location, you’re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations a

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. The Claims Team Lead is responsible for leading a team of Adjusters and Specialists by monitoring their workloads, providing supervisory oversight for individual claim activities, and providing technical and jurisdictional direction on claims adjudication to ensure Pie is providing optimal claim outcomes and experiences for our clients. Additionally, this role is responsible for performance management and development of direct reports. The Team Lead will report to and work directly with the Claims Manager to achieve team and departmental goals. The Team Lead will need to be able and pivot quickly in a fast growing company and department. How You’ll Do It Claims Technical Oversight: Review and approve claim denials, payments, settlements, trials, and reserve requests. Perform claim audits to ensure consistency and accuracy in statutory/regulatory compliance, internal procedures and guidelines, and quality expectations. Ensure reserves are adequately set for the ultimate probable outcome of the claim Perform regular leader reviews and provide feedback and recommendations for individual claims files. Operational Management: Resolve escalated agent, broker, policyholder complaints and/or concerns. Identify trends that could be problematic and take steps to develop processes to correct. Additional project assignments at manager's discretion. People Management: Develop & lead a team of adjusters by ensuring the quality, accuracy, and timely resolution of claims that may include high exposure/complex cases. Oversee of all cla

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 financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes 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... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

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 financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes 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… 3+ years of professional experience working in data engineering, business intelligence, 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 Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS pl

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

Job Summary The Supplier Quality Engineer II is a fully proficient professional individual contributor responsible for ensuring that purchased electronic, electrical, electromechanical, and mechanical components, materials, assemblies, and supplier-provided services meet company, customer, regulatory, and contractual quality requirements. Working with limited supervision, this position independently manages routine to moderately complex supplier-quality assignments across supplier qualification, risk assessment, auditing, performance monitoring, nonconformance investigation, corrective and preventive action, change management, and continuous improvement. The (Supplier Quality Engineer II) partners with suppliers and internal stakeholders in Strategic Purchasing, Procurement, Engineering, Manufacturing, Quality, Product Management, Logistics, and other functions to resolve quality issues, strengthen supplier capability, reduce risk, and improve product and process performance. The role applies broad working knowledge of quality engineering principles, electronics-component manufacturing processes, drawings and specifications, quality systems, structured problem-solving methods, and statistical analysis to identify root causes, evaluate containment and corrective actions, and recommend practical solutions. Consistent with a second-level professional contributor role, the Supplier Quality Engineer II independently handles varied assignments within established policies and professional standards, exercises judgment when selecting and adapting methods, manages multiple priorities, and escalates issues that involve significant technical, commercial, customer, or compliance risk. The position may lead to defined supplier-quality projects, facilitate cross-functional problem-solving activities, and provide technical guidance or knowledge sharing to less-experienced employees without formal people-management responsibility. This is the second level within the Supplier Qualit

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana As we scale our logistics business, we are hiring a Senior Sales Engineer to be the technical lead on Altana’s work with logistics service providers and customs brokers. Following our acquisition of Cervo, our product surface now spans transaction screening, shared product catalog, duty calculation, post-entry audit, and agentic entry writing, and the deals that win are the ones where someone can map a broker’s actual entry-writing workflow today, show them what it looks like on Altana, and prove the integration path is real. You’ll own that work: demos, solution design, architecture conversations, and the technical narrative that carries a deal from first call to signed order form. You’ll partner closely with Sales, Product, Engineering, and Implementation, and act as the voice of the customer back to our product and engineering teams. This is a high-leverage hire on a fast-moving vertical. You Will Achieve mastery of the full Altana product surface area and run demos that hold up with brokerage operations staff, IT leadership, and executive buyers alike, whether it’s an impromptu whiteboard session or a prepared narrative demo Design solutions for complex customer environments, mapping current-state operational workflows to a credible future state on Altana, and documenting the gap between them in terms a customer recognizes as their own business Speak fluently to the technical architecture of the platform: data models, APIs, EDI and file-based integration patterns, and how Altana lands inside the systems logistics providers already run Serve as the bridge between the commercial and product organizations, translating field reality into product input and product direction into field-ready positioning Support the sales process with new and existing custom

MongoDB is seeking an executive public-sector leader to build the next phase of growth across Federal civilian and Defense. As General Manager, you’ll have significant autonomy to shape a more self-sufficient business by integrating Clarity’s federal engineering and modernization capabilities with MongoDB’s product and go-to-market teams, expanding our position in Defense, and establishing the partnerships, authorization strategy, talent, and operating discipline needed for sustained growth. MongoDB acquired Clarity Business Solutions to accelerate the modernization of government applications. Clarity is a federal-focused software and systems engineering firm with expertise in data analytics, data processing, and data flow. Its team combines technical delivery capabilities with experience navigating federal missions, procurement, and security requirements. You will shape how Clarity’s people and capabilities work alongside MongoDB by aligning strategy, customer engagement, delivery, and operating practices while preserving the specialized expertise federal customers rely on. MongoDB Atlas for Government’s achievement of FedRAMP Certified – Class D (formerly known as FedRAMP High) expands MongoDB’s ability to support high-impact government workloads, secure AI, and mission-critical modernization across cloud environments. This is an opportunity to build on customer trust and strong executive commitment, address significant unmet demand across government, and shape a business with the ambition and resources to become a meaningful growth engine for MongoDB. We are looking to speak to candidates who are based in Washington DC for our hybrid working model. What you will do Own the public-sector P&L, strategy, operating plan, and execution, with accountability for revenue, expenses, investment decisions, forecast quality, and overall performance. Establish executive-grade forecasting, pipeline inspection, P&L reviews, account and partner planning, talent reviews,