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Staff Corporate It Engineer in Amsterdam

21 active opportunities · Updated for October 2026

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Explore current staff corporate it engineer jobs in Amsterdam. Use filters to narrow by work mode, employment type, experience and date posted.

D
25mo ago

P-1345 You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Own the end-to-end product management process Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product Drive launches with product marketing through blog posts, release notes, webinars Define and measure OKRs for your products Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. What we look for: 6+ yrs of experience Bachelors degree in Computer Science or similar field Experience in Product Management (inbound, outbound, cross-functional processes) Technical skills Solid understanding of cloud infrastructure (AWS, Azure) Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks

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P-1127 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform. We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats. We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs. The Impact you will have: Solve real business needs at large scale by a

About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage its full lifecycle — turning racks of GPUs into running inference clusters without a human touching a runbook. The Research and Inference team is your customer: today they file tickets and wait; the target state is that they issue a single API call to stand up, scale, or tear down a cluster, and the system takes care of the rest. The platform is manifest-driven such that teams declare the desired state of a cluster or host — shape, topology, software stack — and the system is responsible for reconciling reality to that manifest, continuously, through every stage of its lifecycle. You will design the engines that manifest the schema, the engines that execute against it, and the workflows that carry a piece of hardware or a cluster from one state to the next—taking it from bare metal to a fully functioning AI cluster for training or inference. You'll write production code which is typed, tested, versioned, and deployed through CI/CD that models infrastructure state and reconciles it, the same way a Kubernetes controller reconciles a cluster's desired state. Success looks like eliminating manual provisioning work, not documenting it better. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. Build the self-service API: design declarative

pythonkubernetesai
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AC
Appian Corporation
📍 Amsterdam• €75K – €150K/yr
2mo ago

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. We are looking for a Senior Enterprise Account Executive to be based in Netherlands. You will be in charge driving major enterprise accounts, establish relationships and provide direct touch across all levels of the end customer, engaging with the top SI. Your ability to penetrate new customers and organizations within your assigned accounts is essential to your being successful in this role. Cross-functional teams from Appian Marketing, Business Development, Customer Success and Solution Consulting functions provide support and tools for you to use to attain and exceed sales performance goals. What you’ll be doing: Run the strategy for the Enterprise customers in Netherlands & Benelux - across multiple industries (including FS) Use company-wide success and use cases as a blueprint and add own ideas and vertical knowledge Resolve if the customer has a valid business need for Appian platform and Customer success services. Discuss business drivers and value with relevant decision makers also on C-Level Build and strengthen your business relationship with existing accounts across all hierarchies; follow-up to ensure all their post-sales needs are being met Recommend marketing strategies Provide status information including forecast/pipeline information Identify Appian customer references that can be utilized when reference selling What we need to see: Experience in influencing Digital transformation, Customer services, Customer experience initiatives at Cx0 level and consulting partners Excellent verbal and written communications skills; presentati

aicustomer service
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Thoughtworks is seeking industry- and market-relevant business development leaders to join and lead our client growth in the Europe region. Business Development Managers at Thoughtworks are responsible for developing and securing a pipeline of new opportunities and building relationships with both new clients and in new areas of existing client organizations. As a Business Development Manager (BDM) you are responsible for prospecting, shaping and selling aspirational engagements for our clients as well as for Thoughtworks. You will work within Thoughtworks' Strategic Sales team, leading the development and expansion of client relationships within our company. Your responsibilities and accountabilities include prospecting, identifying and qualifying new opportunities, building trust with potential clients, shaping deals, developing winning value propositions, tightly orchestrating sales pitches, proposals and orals, negotiating win / win agreements with prospective clients, and expanding follow-on sales to create a sustainable business within each account. You will work across client organizations, from C-level and board members to front line business and technical staff, building relationships to secure long-lasting business opportunities. To be successful, you will have multiple years of consultative selling experience within an enterprise IT services company. Your experience should demonstrate industry relevance and expertise across one or more industry domains. You will have sold custom software application development and digital transformation services, and have demonstrated proficiency in prospecting, leading and securing custom software and digital transformation deals with significant total contract value (TCV). You will have expertise dealing with both business and IT leaders and executives. You will bring deep expertise, insights, and credibility in one or more of the following key industries: Retail, Consumer Goods, Travel, Transport & Hospitality . A

awsairecruitment
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P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience. The Impact You Will Have Manage large strategic accounts to provide a high-touch support experience. Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks. Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg). Project manage all open support cases to expedite support ticket closure. Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution. Directly engage on business-impacting situations and ensure recovery of functionality for the customer. Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues. Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems. Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities. Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders. Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks S

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