Sr Production Engineer Public Sector 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. Responsibilities & Skills Minimum 7 years of hands-on experience in Oracle Database Administration and production support environments. Strong experience administering Oracle Database 19c and exposure to Oracle 26ai. Perform Oracle database installations, upgrades, migrations, cloning, refresh activities, and patching using Release Updates (RU), one-off patches, and Grid Infrastructure patches. Strong understanding of Oracle RAC architecture with hands-on experience supporting 2-node, 3-node, 4-node, and 5-node RAC clusters. Expertise in troubleshooting Oracle Clusterware, OCR, Voting Disk, ASM, RAC services, SCAN listeners, and Grid Infrastructure-related issues. Extensive experience in Oracle RMAN backup and recovery strategies, including backup validation, restore and recovery operations, Point-in-Time Recovery (PITR), and disaster recovery testing. Strong expertise in Oracle performance tuning and troubleshooting, including SQL tuning, execution plan analysis, AWR, ASH, and ADDM report analysis. Ability to diagnose and resolve CPU, memory, storage, I/O, network, and operating system-related database performance issues. Strong Oracle ASM administration experience, including ASM disk group management, troubleshooting, rebalancing activities, storage optimization, capacity planning, and performance analysis. Extensive hands-on experience with Oracle Data Pump exports/imports, schema migrations, database refreshes, full database mig

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. In the OMT manufacturing area, be responsible for a designated area, working closely with Subject Matter Experts (SMEs) related to processes, equipment, and production to analyze overall machine performance and drive systematic improvements. Transform analysis results into actionable on-site improvement actions and assist cross-teams in tracking improvement progress and effectiveness. Regularly conduct weekly/monthly OEE analyses to systematically identify performance gaps and propose specific and prioritized improvement recommendations. Be responsible for P2P (Plan-to-Performance) monitoring of the area, ensuring baseline performance aligns with planned goals and promptly identifying deviation risks. Assist in establishing and optimizing the area-level OEE indicator framework and analysis methodology to improve consistency and analysis efficiency across areas and sites. Compare machine or process performance across different sites to identify replicable and scalable best improvement models. Collaborate and exchange ideas across regions with SMEs and Global Team experts from other sites, sharing analytical methods and improvement experiences to disseminate results and maximize benefits throughout the Micron network. Establish and participate in OEE Task Forces based on operational or project needs, enabling rapid cross-area support and resource integration to complete tim

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Responsibilities: Plan, build and lead Cleanroom Facilities mechanical infrastructure expansion projects to facilitate tool utilities demand of future technology of manufacturing equipment as the need arises Respond and problem solving of system issues and production interruptions to mechanical related systems Identification, evaluation and potential implementation of sophisticated technology on Mechanical systems to improve electricity, waste or water reduction to align to Micron Environment Sustainability efforts Perform capacity tracking and planning for mechanical systems Enforce to company’s environmental safety health policy and procedure, standard operating procedure with risk assessment, good housekeeping standard and quality policy when performing work. Responsible for continual improvement of preventive maintenance programs for systems to achieve optimal system performance and uptime. Engage in driving system reliability improvement initiative to enable maximum equipment uptime and reduction of system interruption. Lead troubleshooting and timely response to site for system abnormities to reduce production impacts. Carry out Root cause analysis and implement action plans to prevent recurrence. Perform effec

GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business

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 looking for Facility Experts of different facility systems, including Electricity, Water, Gas, Chemical, Exhaust, Mechanical, and CSA, and Project management. The Facility Expert is responsible for planning, designing, and overseeing electrical systems and infrastructure within plant, office, and production environments. This role ensures optimal facility performance, compliance with safety and building codes, and cost-effective operations. The expert will collaborate with internal teams and external engineering firms to deliver high-quality electrical solutions that support business objectives. Key Responsibilities: Facility Planning & Design Plan and implement electrical system changes for plant, office, and production equipment layouts. Ensure designs maximize operational efficiency and comply with applicable laws, regulations, and safety standards. Coordination & Documentation Work closely with architecture and engineering firms to develop design criteria and prepare detailed electrical layouts and drawings. Prepare bid sheets, technical specifications, and contracts for electrical construction and facility acquisition projects. Cost Estimation & Budgeting Review and estimate design costs, including equipment, installation, labor, materials, and related expenses. Prov

P-1476 Location: Mountain View, CA At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Sr Software Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. Seamless onboarding and management for all members of an organization to become data-driven. Provide a great SQL-centric data exploration and dashboarding experience on Databricks An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: 5+ years of experience with HTML, CSS, and JavaScript Experience leading large multi-quarter efforts with a demonstrated customer or business impact Passion for user experience and design and an understanding of front-end arch

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as: Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: BS (or higher) in Computer Science, or a related field 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience working

Job Title: Senior SDET - Test Automation Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Senior SDET - Test Automation Engineer 5+ Years’ Experience Location: Vadodara (Client office, Hybrid) Role Overview We are seeking a Senior Software Development Engineer in Test (SDET) with strong expertise in Java-based test automation, Spring Boot Microservices, API testing, and Kubernetes-based application validation. The role will be responsible for designing and implementing robust automated testing frameworks to ensure the quality, reliability, and production readiness of MDES applications undergoing modernization and regional deployments. Key Responsibilities Design, develop, and maintain scalable Java-based test automat

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Villalba Manufacturing site supports the development, transfer, and commercialization of medical device technologies through advanced manufacturing engineering, process development, and operational excellence. The engineering organization partners closely with global technical teams across product design, reliability, tooling, equipment development, and manufacturing technology to bring new products from concept through high-volume production while ensuring quality, compliance, and process capability. This position is based onsite in Villalba, Puerto Rico. The role serves as a key technical liaison between the Villalba site and Medtronic's global engineering network, driving knowledge transfer, technology adoption, and manufacturing innovation. Occasional travel may be required to support global initiatives, technical reviews, and cross-functional collaboration. The Sr. Principal Manufacturing Engineer provides advanced technical leadership in the design, development, validation, and optimization of manufacturing processes for new and existing products. This role translates product concepts into scalable, predictable, and reliable manufacturing solutions while serving as a technical expert and mentor for engineering teams. The position is responsible for leading complex engineering initiatives, resolving technical challenges, and collaborating

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. Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Analyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Design & Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Collaborate with the Product and Engineering teams to identify opportunities for integrating Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of Generative AI Technologies, paradigms & frameworks following organizational best practices. Design, develop, and deploy enterprise-grade applications leveragi

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation , technical excellence, and continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine learning, including production-scale deployments. 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training,

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

About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. In this role, you will Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. Implement API and EDI partner inte

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role A strong and reliable platform is essential to scaling Sentry for the future. Our Platform organization is responsible for everything that powers Sentry, from cloud infrastructure and streaming systems to storage, deployment, and security. We own the core services and technical foundations that enable every product and engineering team at Sentry to move fast and build with confidence. We’re looking for a Senior Staff Software Engineer to set technical direction across Sentry’s Platform organization and lead engineering work spanning infrastructure, streaming, and storage. Reporting directly to the VP of Platform Engineering , you’ll partner with engineering and product leaders to identify where our platform needs to evolve, make architectural decisions across team boundaries, and lead those changes through production delivery. You’ll stay hands-on through system design, prototyping, and code while helping senior and staff engineers lead work across teams. What You’ll Do Set technical direction for platform initiatives spanning multiple teams, connecting architectural decisions to product needs and business priorities. Identify and lead changes addressing system bottlenecks, reliability risks, and architectural constraints. Own cross-team initiatives from problem definition and design through implementation, rollout, and evaluation. Make tradeoffs across reliability, performance, cost, operational complexity, and delivery speed. Stay hands-on where your contribution matters most, writing code, building prototypes, and helping teams resolve difficult implementation problems. Partner with engineering and product

Join Adobe Security Engineering and help build the ML and generative AI capabilities that protect Adobe, our products, and our customers. Our team sits where cybersecurity, large-scale data, and AI meet, building models for anomaly detection, threat detection, investigation, and security analytics across some of Adobe's largest datasets. As a Staff Machine Learning Engineer, you'll design, build, and scale production ML systems spanning deep learning, behavioral modeling, embeddings, and agentic AI. You'll write code, train models, run experiments, and help shape the architecture the broader team builds on. You'll also partner closely with data, platform, and security engineers across Adobe. The Challenge Architect end-to-end ML systems for high-volume security data, turning experiments into reusable capabilities. Own the ML lifecycle, from feature engineering through training, deployment, monitoring, and retraining. Build LLM and agentic AI capabilities for security investigation, including retrieval-augmented generation. Design evaluation frameworks that measure model quality and help analysts trust and validate results. Work with data and platform engineers to scale pipelines and resolve system bottlenecks together. Mentor engineers and help guide technical direction through design reviews and hands-on collaboration. What you bring Experience running production ML systems from early experimentation through sustained operation at scale. A strong background training models with PyTorch and transformers, including behavioral modeling and anomaly detection. Comfort with distributed compute like Spark, cloud platforms like AWS, and MLOps tools like MLflow. Experience building with LLMs or generative AI, along with evaluating how they behave in production. Strong Python and SQL skills, and solid software engineering habit