Production Supervisor Jobs

FEQ427R473 As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted technical partner to customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are becoming a go-to resource within your team for depth in a specific domain. The Impact You Will Have: Own the end-to-end technical strategy for your accounts — from discovery through production deployment — driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth Lead complex architecture discussions — designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics Serve as a trusted technical partner to customer architects, engineering leads, and Directors — helping shape their data and AI journey on Databricks Develop an emerging technical specialization (archetype) — ideally in AI/ML, agentic architectures, or a related domain — becoming a go-to resource within your team Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps What We Look For: 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales — with a strong track record of hands-on solution building and customer-facing technical leadership Deep expertise in modern data and AI architectures — lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms — with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data

About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: Have demonstrated strength in research engineering, ML en

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Agent credentials that grant an agent exactly the access it needs for the gi

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique portfolios trading energy on the market. We’re looking for a We're looking for a Backend Engineer o join us - maybe that's you? Job Mission 🚀 As a Backend Engineer, you'll play a key role in turning our trading models into robust, production-ready systems - helping Tibber trade smarter so we can pass better prices and a more reliable energy experience on to our customers. You'll work closely with our forecasting team, right where trading decisions meet real customer impact. What you'll do ✅ Build forecasts that support Tibber's trading operations Bridge model development and production-ready backend systems, working closely with the team building our ML models Support both our retail trading and flex trading domains Work hands-on with time series data Collaborate closely with traders who act on your systems' outputs daily What we're looking for⚡ You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability. We believe you'll thrive here if you: Have strong Python skills and experience building backend systems in ML-heavy environments (production ML, not just notebooks) Have hands-on experience with time series data and forecasting Know how to move ML models from development into reliable, production-ready systems Are proactive and entrepreneurial, comfortable owning your work end-to-end in a small, high-impact team Communicate well with both technical peers and business stakeholders Have a background in energy, utilities, or financial markets, or experience with .NET — a plus, but not required Tibber becomes more AI-

Position Summary The Automation Engineer is an intermediate role focused on deployment, optimization, and support of automated systems and software tools, including workcells, liquid handlers, and analytical instruments. This engineer has more independence than an Associate and is expected to have a solid foundation in sustaining engineering (troubleshooting and development). This individual should have a solid understanding of most complex automated liquid handling systems used in the lab, and can drive engineering projects of medium complexity independently and of high complexity with some guidance. They document work completely, follow SOPs, and contribute to Production Engineering documentation and team knowledge. Work is organized across Production Automation Engineering's project portfolio categories—Stabilize, Standardize, and Optimize—and commonly includes liquid-handler capacity expansion, platform upgrades, assay/workflow verification, instrument troubleshooting, and go-live support for production systems. Roles and Responsibilities Complexity & Problem Solving Operate as a semi-autonomous individual contributor within Production Engineering. Deploy liquid handling robotics for capacity expansion. Use SOPs or work instructions when available and assist with drafting documentation for new deployments. Perform defined continuous improvement projects; take ownership of assigned work and report to the project leader and/or manager. Contribute to Stabilize / Standardize / Optimize projects from intake through execution, including providing status updates and supporting schedule and % complete tracking. Handle complex troubleshooting, repairs, and maintenance. Provide 2nd-tier support to the Service Engineering team. Solve non-routine problems with some guidance. Perform assignments following SOPs. Support technical work independently on medium-complexity scope projects and with guidance on high-complexity scope. Assist with performance qualification

ReqID: FEQ427R149 Location: London Skills: Networking, Security, Platform, DevOps, Databricks, Cloud - AWS, GCP, Azure, Infrastructure - First preference would be GCP experience Recruiter: Dina Hussain As an Infrastructure & Platform Specialist Solutions Engineer, you will serve as a trusted technical advisor, helping enterprise customers with the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine solid technical expertise with a growing ability to connect architecture decisions to customer outcomes. The Impact You Will Have Guide enterprise customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards Act as a technical specialist in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management Support technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Collaborate with cross-functional resources (DSAs, SAs, FDE, Partners) to contribute to solutions for complex customer needs Operate with growing autonomy on well-scoped engagements, with guidance from senior architects on the most complex designs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 4+ years in solutions architecture, technical pre-sales, or a Network architecture hands-on technical role Strong expertise across the following areas: Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-

Opportunity Overview: Cohere Health is at the forefront of leveraging artificial intelligence (AI) to transform prior authorization, shifting from transaction-based processes to creating elevated care journeys. By integrating AI into healthcare decisioning, we aim to improve efficiency, reduce costs, and ultimately enhance patient care. This is a unique opportunity to join our rapidly growing Clinical Intelligence team, where you’ll work on building impactful healthcare technologies that streamline and optimize the prior authorization process using AI/ML and Advanced Rules Engines. What you’ll do: Contribute to the functional & technical roadmap for the team, working alongside cross-functional teams to deliver high-impact deterministic rules-based and AI-driven healthcare automation solutions. Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions Continuously discover, understand, and implement new technologies & services to maximize development efficiency Contribute heavily to feature design, development, testing, and delivery of our cloud platform and web applications Support all parts of our platform from the database to the frontend Drive daily engineering release once 2-4 times a month Perform production support duties 1-2 times a year. ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. What we looking for: You have experience working on software development teams, building and deploying full stack web applications You are passionate about building quality products and want to own product development end-to-end, with excellent design and development stan

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands-on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams Key Responsibilities: Design, implement, and deploy AI agents and generative AI solutions using Python, with hands-on use of LangChain and related orchestration frameworks Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, an

Opportunity Overview: We are seeking a Senior Data Engineer to contribute to the design and delivery of our cloud-native healthcare data platform. You will implement scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines strong hands-on engineering with collaboration across platform, analytics, and business teams. What You'll Do Data Engineering Delivery Deliver complex data engineering projects in collaboration with cross-functional teams Drive technical execution from design through production deployment Implement scalable data patterns and reusable frameworks Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Contribute to Apache Iceberg implementation and optimization Apply standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Implement data quality frameworks and validation layers Support observability and monitoring practices Contribute to operational excellence and reliability improvements Participate in architecture and design discussions Conduct and participate in code reviews Mentor junior engineers and share best practices ISMS roles and responsibilities Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitoring and reporting on the performance of the ISMS. Responsible for implementation of security policies and procedures and report

Req ID: FEQ427R45 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streamin

Req ID: FEQ427R403 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streami

Job Description Location: Bengaluru (Whitefield) Experience: 10+ Years About the Role SAIGroup is looking for an Engineering leader for one of its portfolio companies to drive the architecture, design, and engineering of next-generation Agentic AI solutions for healthcare/medical imaging. The ideal candidate will combine deep expertise in Agentic AI architecture and platform design with strong healthcare domain experience. The individual will be responsible for defining the technology vision, building scalable AI platforms and applications, leading engineering teams, and representing the organization's technology capabilities with customers, partners, and senior stakeholders. This is an opportunity for a builder and technology leader who has experience taking complex AI solutions from architecture and concept through production at scale. Key Responsibilities Agentic AI Architecture & Technology Leadership Define and own the architecture and technical strategy for Agentic AI platforms and applications. Design scalable, secure, reliable, and production-ready agentic AI architectures. Drive the design of AI agents, multi-agent systems, orchestration frameworks, tool integration, memory, reasoning, and workflow automation. Evaluate emerging Agentic AI technologies, frameworks, models, and architectural patterns and translate them into practical healthcare applications. Establish engineering and architectural standards for AI/ML products and platforms. Healthcare AI & Clinical Technology Lead the development of AI platforms & applications addressing complex healthcare and clinical use cases. Apply knowledge of healthcare workflows, clinical data, healthcare interoperability, and regulatory considerations to technology architecture. Partner with product and clinical stakeholders to translate healthcare problems into scalable technology solutions. Experience with medical/clinical imaging, radiology, or imaging workflows will be an added advantage.

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 Description As a Process Integration & Yield Enhancement Engineer of Micron, you will be responsible for driving manufacturing performance through systematic variability reduction across assembly and test. You will leverage statistical analysis and advanced data analytics to rapidly identify yield improvement opportunities and support timely, accurate production issue resolution. Through daily analysis of inline, alarm, electrical test, and experimental data, you will enable best-in-class yield, quality and reliability performance in high-volume manufacturing. Responsibilities and Tasks: Demonstrates strong understanding of yield analysis methodologies, Backend assembly and test processes, and their characteristic impacts on yield, quality and product performance. Apply knowledge of semiconductor device behavior, materials, and backend manufacturing processes to diagnose and resolve yield and reliability issues using statistical and data‑driven analysis tools. Identify and communicate process-, material-, and equipment‑related yield sensitivities to assembly and test process owners and actively support corrective actions and process optimization. Collaborate effectively with Quality, Manufacturing,

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 Summary : The Planning Engineer is responsible for ensuring on-time delivery of customer orders through effective collaboration with Supply Chain, Central Planning, and Manufacturing teams. This role manages material planning for production builds, performs capacity studies, and drives optimization of loading plans to maximize output. Success requires strong analytical skills, cross-functional collaboration, and the ability to manage dynamic customer requirements while maintaining operational efficiency. Main Responsibilities : Customer Delivery & Order Fulfillment Ensure on-time delivery for all production orders . Collaborate with Supply Chain to understand customer requirements and fulfill ad-hoc upside requests. Work with Centr

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. As a Manufacturing Engineer, you will be responsible for production planning to meet weekly target output, on-time delivery to customer, machine utilization and inventory level. In this role, some of the tasks that need to carry out include exploring continuous improvements activities to assist area management in running the production in a cost efficient and effective manner. Responsibilities and Tasks Generate production plan and execution strategy to meet Output plan, On Time Delivery (OTD) to customer, Cycle Time and Day Of Inventory (DIO) metrics Analyze the progress of daily production operations and collaborate with cross functional team to resolve any issues impacting delivery schedule to customers Create and implement integrated systems for carrying out materials flow, production processes, inventory control and human work factors Drive continuous improvement to achieve Best In Class performance on Cycle Time and Delivery Serve as Manufacturing primary point of contact for In-line Planning and Production Control related activities Forecast production logistics, direct and indirect materials to ensure production readiness to meet weekly output plan Review curren