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Required Senior AI Platform Engineer - Sovereign AI Engineering
The Dream Job
It starts with you - an engineer driven to build the agentic AI platform that turns LLMs into reliable, production-grade capabilities. You care about clean APIs, well-defined service boundaries, and systems that teams can build on with confidence. We are AI-first across the board - every team builds and operates agents. You'll architect and ship the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation pipelines, tool-calling infrastructure, and retrieval systems. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments.
If you want to make a meaningful impact, join our mission and build the agentic AI platform that drives Sovereign AI products - this role is for you.
Responsibilities
Design and build agentic systems - single and multi-agent workflows with planning, memory, context engineering, and tool use - for both internal automation and product-facing autonomous capabilities operating over long time horizons.
Build and operate the AI platform layer - LLM gateways, prompt management, structured output handling, tool-calling infrastructure, and cost/latency optimization - deployed on Kubernetes, consumed by every team for their agentic work.
Own the agent framework layer - orchestration primitives, execution environments, state management, and sandboxed tool execution - giving every team the building blocks to create and operate their own agents.
Build evaluation infrastructure that gives teams confidence in agent behavior - automated LLM and agent evals for quality, correctness, safety, latency, cost, and regressions, including human-in-the-loop oversight for mission-critical workflows.
Productionize and harden backend services (APIs, gRPC, async workers) that integrate LLMs - with proper error handling, retries, circuit breakers, and high-availability patterns.
Own RAG pipelines and retrieval systems - indexing, chunking, embedding, vector database management, filtering, and relevance tuning for production retrieval.
Optimize performance and cost across the AI stack - model routing, caching, batching, and inference cost management.
Ship shared tooling - libraries, SDKs, agent templates, and documentation - while working closely with ML Platform, Data Platform, DevOps, and other teams across the Applied AI Engineering group. Own architecture, documentation, and operations end-to-end.

we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.





What youll build

Challenging software development tasks, working with the most advanced cloud technologies such as Kubernetes and Golang.
Design and implement new features and functionalities for our products.
Continuously measure and improve the performance of our systems.
Be part of the platform team - develop core infrastructure features for the product.

As a Project Manager (PM) you will develop into a trusted advisor in the delivery of SAP software and services, working closely with project managers and delivery leads to ensure successful execution. Youll have direct experience in project coordination, financial forecasting, and backlog management, while tracking and communicating key project metrics to both SAP and customer stakeholders. You are a key player in driving operational excellence and supporting the seamless delivery of customer engagements.

Leads customer engagement and monitors budget and spend.

Oversees the project from initiation through delivery.

Coordinates cross-functional activities to ensure delivery on schedule and within budget.

Establishes trusted advisor relationships with strategic customers and actively manages executive-level stakeholders across LOB and IT.

Drives the governance process in alignment with all stakeholders, including customers, SAP, and partners.



What youll do:


As part of the SAP Academy for Services & Consulting, Project Manager Associate will:

Successfully complete a structured 12-month learn-and-apply academy program
Participate in classroom learning, simulations, and real-customer engagement scenarios
Accountable for delivering outcomes for assigned sub-projects.
Works independently within defined policies, processes, and scope of responsibility.
Contributes to key milestones across projects of moderate complexity.
Collaborates effectively while managing work independently as needed.
Provides regular, clear status updates to managers or project leads.
Applies strong technical competence using relevant tools, procedures, and programming languages.
Enhances existing systems and processes through sound decisions and solutions.
Builds collaborative relationships and communicates clearly, timely, and constructively across functions

We are seeking a Senior Applied Researcher/ Data Scientist to join our core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within our Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
Responsibilities
Design and build advanced AI models and systems that power our core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across our AI and product landscape.

Develop and apply automation/testing/CICD for system-level software in cloud environments (AWS/Azure/GCP/Private etc.)
Liaise with R&D and delivery/operations teams to plan and design control and tests for new features, software deployment, recreation of cases, and validation of bugfixes
Develop automations for DevOps environment
Develop and enhance pipelines and infrastructure
Develop tracking and automation for logs and results through SQL queries on databases
Develop skills for AI tools in the DevOps environment

we are looking for a SW Team Leader.
As the team leader, you will manage a multidisciplinary engineering team and help shape the future of audience building and activation. You will work closely with product, architecture, data, and other engineering teams to deliver scalable, reliable, and user-centric solutions. This role requires a strong engineering leader who is passionate about building excellent teams, solving complex data and backend challenges, and driving execution in a fast-moving environment.
What Youll Do
Lead and grow a high-performing engineering team responsible for end-to-end ownership of audience-related products and capabilities
Drive the design and delivery of scalable backend systems and data flows that power audience creation, enrichment, segmentation, and activation
Partner closely with Product, Design, Architecture, and cross-functional engineering teams to define and execute the team roadmap
Translate product and business goals into clear technical plans and ensure predictable, iterative delivery
Stay hands-on and involved in architecture discussions, design reviews, and code reviews
Foster a strong engineering culture of ownership, collaboration, quality, and continuous improvement
Mentor and develop engineers, supporting their professional growth and helping them reach their full potential
Recruit top talent and build a healthy, balanced, and effective team
Ensure high production standards, operational excellence, and system reliability
Promote curiosity and technical excellence by evaluating new tools, technologies, and approaches where relevant
Take an active role in shaping the broader engineering direction of the Collab Unit together with fellow team leaders

Were looking for an experienced Automation Engineer to join our QA Automation team and help shape the future of quality at Dream. In this role, youll play a critical part in developing innovative testing systems for our SaaS product-ensuring every release is fast, reliable, and built to scale.
Responsibilities
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are looking for a Data Engineer to join our usage metering & billing platform team! with a strong background in writing ETLs and complicated data processing pipelines. Youre deeply familiar with modern data processing stack (especially Spark, Hadoop and Airflow), have a strong problem-solving attitude and, most importantly, youre passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit.
Working with this enormous volume of data begins with massive ETL pipelines built using cutting-edge technologies such as Kafka, BigQuery, Airflow, S3, PostgreSQL, Athena, SQS, Redis, and especially Spark. We are big believers in working with the right tool for the right job, including programming languages. We run a truly polyglot shot with Scala, Python, Go and Node being especially common here . The extreme growth rate of our data and client base means that solutions need to be designed to handle 10X growth or more.
What youll do:
Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development
Improve the scalability and performance of existing data pipelines
Delve into existing pipelines and business logic, target weaknesses and add functionality
Mentor, advise, and work collaboratively within the Biz Data & Dev group, with other development teams, and with all other business teams of the company
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible

As a Success Plan Manager, you will develop into a trusted advisor who supports customers in adopting, optimizing, and realizing value from SAP solutions including SAP S/4HANA, RISE with SAP, SAP Business Technology Platform (BTP), and SAP Business AI. Through progressive responsibility, coaching, and hands-on experience, you will learn how to:

Translate customer business objectives into structured success activities
Support outcome-driven Success Plans aligned to customer priorities
Contribute to governance, cadence management, and value discussions
Collaborate across SAP delivery, architecture, and adoption teams
Apply SAPs Success Plan methodology consistently and at scale


What youll do:



As part of the SAP Academy for Services & Consulting, Success Plan Manager Associates will:

Successfully complete a structured 12-month learn-and-apply academy program
Participate in classroom learning, simulations, and real-customer engagement scenarios
Support the execution of Success Plans under guidance of experienced Success Plan Managers
Assist with development, maintenance, and updates of customer success documentation
Prepare materials for governance meetings, including quarterly reviews and steering sessions
Support tracking of adoption milestones, consumption indicators, and value realization inputs
Participate in proactive risk identification and escalation preparation
Collaborate with Customer Engagement Partners, Enterprise Architects, Data Architects, Success Experts, and delivery teams
Learn and apply SAPs integrated toolchain including Holistic Engagement Planner (HEP), dashboards, Cloud ALM, and customer insights tools
Contribute to continuous improvement of engagement quality and customer experience


Expectations and Tasks:



Support executive-level customer relationships built on trust, transparency, and consistent delivery quality
Ensure disciplined planning, execution, and follow-up across all Success Plan activities
Provide clear, concise, and value-based executive communications and reporting
Coordinate internal SAP stakeholders to ensure clarity of roles, responsibilities, and ownership
Ensure alignment between customer priorities, SAP recommendations, and delivered outcomes
Uphold SAP standards for service quality, governance, and customer engagement excellence

Senior Backend Engineer- CTI
We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the Dream platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.