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. Responsibilities: Lead design readiness activities for new DRAM products, including risk assessments, DFMEA development, validation planning, and readiness reviews Partner with cross-functional teams to identify product risks, define validation coverage, and prioritize debug activities Drive root-cause investigations of silicon findings through data analysis, experiment planning, evidence review, and corrective action development Influence product readiness decisions by connecting design intent, validation results, silicon behavior, manufacturing constraints, and customer quality expectations Mentor engineers and help improve technical practices, readiness processes, and organizational learning across DRAM programs Minimum Qualifications: Advanced degree in Electrical Engineering, Computer Engineering, Semiconductor Engineering, Applied Physics, Materials Science, or a related technical field, or equivalent industry experience Significant experience in semiconductor design, DRAM or memory technology, silicon validation, product engineering, device characterization, circuit debug, reliability, test development, or new product introduction Proven ability to analyze sophisticated technical problems using silicon data, validation results, circuit behavior, failure analysis
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Meet Yubico Yubico is a global leader in identity security and creator of the YubiKey, the original hardware-backed passkey. We are publicly traded on Nasdaq Stockholm; our global footprint includes headquarters in Stockholm, Sweden, Silicon Valley, California; and Singapore. Why Join Our Mission? At Yubico, we are guided by a shared belief that your work matters. We operate under a cultural philosophy of Speed with Integrity , pushing the boundaries of technology to secure the AI frontier—protecting both human and agentic AI interactions—and leading the transition to post-quantum cryptography. In everything we do, we live by our core values: Battle Friction: We constantly look for new ways to simplify our products, our work, and the user experience. Inspire Higher: We think big, champion the open internet, and strive to do the right thing even when it is difficult. One Team: We are open, responsive, and collaborative, overcoming challenges and celebrating our successes together. Aligned with our commitment to open standards, we foster a thriving builder ecosystem through the Yubico Developer Program , offering free open-source repositories , libraries, and SDKs to help developers rapidly integrate strong hardware authentication into any application. Through close collaborations with technical partners like Google, Microsoft, and Amazon, as well as newer frontiers like OpenAI, we continue to shape a safer digital world while donating security keys to protect vulnerable communities, journalists, and humanitarian groups worldwide through our Secure it Forward program. The Role Yubico is looking for a Sr. Software Engineer who is innovative and has a passion for building security solutions and software. You will join our Production and Fulfillment Services (PFS) team. The PFS team develops the software systems that control our YubiKey production, fulfillment, and manufacturing. They build integrated end-to-end solutions for production software to enhance and scale our
P-1011 Job Location: San Francisco Bay Area, CA As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues
Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving
FEQ427R339 Location: Melbourne or Sydney As a Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 5+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GC
Opportunity Overview: We are seeking an experienced and driven Sr. Technical Talent Acquisition Partner to join our Talent Acquisition team and spearhead hiring initiatives for our Healthcare Technology organization. The ideal candidate will have strong technical hiring expertise, a deep understanding of engineering roles (e.g., software development, data engineering, cybersecurity, cloud, etc.), and a passion for healthcare innovation. In this role, you will lead strategic hiring efforts, partner closely with business leaders to attract top-tier engineering talent aligned with the evolving needs of the healthcare tech landscape. You will play a key role in scaling high-performing technology teams that are building transformative healthcare solutions. What you’ll do: Recruitment: Lead and own the end-to-end recruitment lifecycle from sourcing, screening, and interviewing to offer negotiation and onboarding for critical IT roles across domains like software engineering, data science, cloud, DevOps, cybersecurity, and healthcare IT systems. Assess candidates for both technical and cultural fit; conduct initial technical interviews when appropriate. Drive diversity, equity, and inclusion (DEI) in hiring initiatives. Stakeholder Management: Serve as the primary point of contact for senior-level hiring, workforce planning, and executive recruitment. Partner with business, HRBPs, and leadership to forecast talent needs and develop proactive sourcing strategies. Collaborate with global TA and business teams on talent pipeline planning and role prioritization. Sourcing & Market Intelligence: Design and execute advanced sourcing strategies across platforms, leveraging multiple sourcing channels including job boards, LinkedIn, employee referrals, campus outreach, and recruitment agencies. Employer branding: Represent the company at tech events, career fairs, and employer branding campaigns to attract top talent. Conduct regular market mapping and talent intelligence repor
Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! As a Solutions Architect , you will be the trusted advisor helping our customers unlock the ultimate value of Couchbase. You will work directly with customer engineering teams, blending high-level architectural coaching with hands-on professional service delivery. If you love solving complex, real-world data challenges, designing cutting-edge AI-ready architectures, and guiding enterprise customers from design to production, this role is for you. What You’ll Do (Responsibilities): Lead Customer Engagements: Guide short- to medium-term on-site and remote client engagements. You will lead architecture and use case reviews, sizing, performance tuning, and deployment topology planning to get Couchbase up, running, and optimized. Solve Complex Technical Challenges: Work hand-in-hand with customers t
Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches
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. At Micron, our EDA and Design Enablement team sits at the center of memory technology development. We build, maintain, and optimize the tools, methodologies, and design flows that enable world-class CMOS design at scale. By partnering closely with design, layout, and process engineering teams, we solve complex technical challenges that directly contribute to product innovation and business success. As a Computer Engineer, you will play a key role in supporting and advancing the design ecosystem used across Micron's engineering organization. You will develop, debug, and enhance both in-house and commercial EDA solutions while collaborating with multi-functional teams to improve engineering productivity, design quality, and workflow efficiency. This position is ideal for someone who enjoys hands-on technical problem solving, software development, and enabling engineers to perform at their best. Responsibilities Develop, maintain, and enhance EDA tools, design flows, and methodologies that support CMOS design and verification activities. Debug, evaluate, and provide production support for in-house and commercial EDA solutions in Linux/Unix environments. Collaborate with design, layout, and process engineering teams to identify and resolve workflow, automation, and tool integration challenges. Create and maintain technical documentation and deliver training and support for engineering users. Leverage AI-assisted tools and technologies, where appropriate, to improve development efficiency
Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partn
Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: We are seeking a highly skilled Sr. NetSuite Developer to serve as the principal architect and technical authority for NetSuite and the integrations, automations, and AI solutions that interact with NetSuite. In this senior technical role, you will define the technical vision for NetSuite and its surrounding application landscape, establish architecture and engineering standards, pioneer transformative AI solutions, create governance frameworks aligned with financial controls, and serve as a key technical advisor to leadership. What You'll Do: Define NetSuite technical vision: Establish the strategic direction and technical vision for NetSuite customization, integration, automation, and AI, using SuiteScript, Python, no/low-code solutions, and LLMs, aligning solutions across the entire organization, directly shaping enterprise business transformation. Create cross-platform architecture: Design sophisticated, scalable architectures for business processes that start or end in NetSuite, connecting it with surrounding applications (e.g., Workday, Snowflake, Custom Applications), and establish patterns for SuiteScript 2.x, SDF, RESTlets, NetSuite REST/SOAP web services, SuiteQL, generative AI, low-code/no-code, and developer platform implemen
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We’re passionate about transforming how companies interact with customers across every screen. The Opportunity Adobe Experience Platform and Apps powers real-time customer experiences for the world’s largest enterprises — unifying data, resolving identity at scale, orchestrating journeys, and activating audiences across channels. The Forward Deployed Engineer sits at the intersection of solution architecture, technical consulting, and hands-on engineering. You’ll work directly with Adobe’s strategic customers to solve complex platform challenges, design scalable architectures, and build solutions that accelerate adoption. You’ll operate in a multi-functional Customer Pod with end-to-end ownership, partnering with customers, product teams, and engineers to turn complex problems into working solutions. What You’ll Do Partner with strategic customers to understand their architecture, workflows, security requirements, and business objectives. Translate complex customer problems into scalable solution designs, reference architectures, and working prototypes. Investigate and resolve production-level platform issues across data ingestion, identity resolution, journey orchestration, and audience activation. Des
Sr. Automation Engineer - IT Asset Management Req ID: GAQ427R222 About the Role As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees. Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management. This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management. The Impact You Will Have New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil. SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance. Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy. Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance. Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures. What We Are Looking For Core Qualifications 5+ years of experience in IT system
FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 7+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-gr
JOB ROLE : SENIOR MANAGER, SOFTWARE ENGINEERING Location: Hyderabad, India (Hybrid) Department: Product Development ABOUT GHX GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the world's largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate processes, reduce costs, and increase operational efficiency. GHX continues to innovate with intelligent automation and AI-driven capabilities across its product portfolio. ABOUT THE ROLE GHX is seeking a Senior Engineering Manager to lead a multi-disciplinary engineering team that powers intelligent, AI-augmented automation across multiple product lines with document understanding — extracting structured meaning from unstructured documents and data — as one of its core technical problems. This team spans three areas: a platform engineering team (AI, DevOps, Infra, architecture, business continuity, security etc.), a set of product-line delivery teams (each building product-specific business logic, validation, and integrations), and a team building the Human-in-the-Loop (HiTL) application along with reporting/analytics capabilities. You will lead through team leads or senior engineers rather than running delivery for a single team directly. You will set technical direction for shared platform capabilities that every product-line team depends on, while ensuring each product line independently meets its own functionality, quality, and delivery commitments. You will work directly with business, product, and operations stakeholders across every product line this platform serves, and you will own end-to-end outcomes: people, technical direction, and customer impact across the full teams. RESPONSIBILITIES Organizational & Engineering Leadership: • Lead and develop a multi-disciplinary team spanning platform engineering, pro
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