WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Berlin, Germany office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from any DACH country (Germany, Austria, Switzerland).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in German or French preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll design, deploy, and maintain the ML infrastructure backbone that makes frontier AI research possible. This isn't abstract systems work—every decision you make directly impacts whether a multi-week training run succeeds, whether inference stays fast enough for production, whether researchers can iterate quickly or wait hours for resources.

What You’ll Work On 

You'll be the person who:

• Designs, deploys, and maintains cloud-based ML training clusters (Slurm) and inference clusters (Kubernetes) that researchers and products depend on
• Implements and manages network-based cloud file systems and blob/S3 storage solutions optimized for ML workloads at scale
• Develops and maintains Infrastructure as Code (IaC) for resource provisioning—because manual configuration doesn't scale and configuration drift breaks things
• Implements and optimizes CI/CD pipelines for ML workflows, making it easy for researchers to go from experiment to production
• Designs and implements custom autoscaling solutions for ML workloads where standard approaches fall short
• Ensures security best practices across the ML infrastructure stack without creating friction that slows down research
• Provides developer-friendly tools and practices that make ML operations efficient—because infrastructure that's hard to use doesn't get used

What We’re Looking For

You've built and managed ML infrastructure at scale and understand that supporting AI research is fundamentally different from traditional cloud infrastructure. You've been paged because a training run failed. You've debugged why storage became the bottleneck. You know the difference between infrastructure that works in demos and infrastructure that works when researchers depend on it for months-long experiments.

You likely have:

• Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services—you know which services matter and which are marketing
• Extensive experience with Kubernetes and Slurm cluster management in production environments
• Expertise in Infrastructure as Code tools (Terraform, Ansible, etc.) and the discipline to actually use them
• Proven track record managing and optimizing network-based cloud file systems and object storage for ML workloads
• Experience with CI/CD tools and practices (CircleCI, GitHub Actions, ArgoCD, etc.) in ML contexts
• Strong understanding of security principles and best practices in cloud environments—without making security the enemy of velocity
• Experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.) that help you understand what's actually happening
• Familiarity with ML workflows and GPU infrastructure management—you understand what researchers need
• Demonstrated ability to handle complex migrations and breaking changes in production environments without losing data or breaking experiments

We'd be especially excited if you:

• Have experience building custom autoscaling solutions for ML workloads that standard tools can't handle
• Bring knowledge of cost optimization strategies for cloud-based ML infrastructure (because GPU hours add up)
• Are familiar with MLOps practices and tools
• Have experience with high-performance computing (HPC) environments
• Understand data versioning and experiment tracking for ML
• Know network optimization techniques for distributed ML training
• Have worked with multi-cloud or hybrid cloud architectures
• Are familiar with container security and vulnerability scanning tools

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

• Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
• Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
• Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
• Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

The role in a nutshell:

We’re looking for a Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact.

What you’ll do:

• Be the frontline agent: Triage, investigate, reproduce, manage, and annihilate complex customer issues involving Chainguard Images.
• Escalate wisely: Engage the Engineering team when things get spicy.
• Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed.
• Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans.
• Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix.
• Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams.
• Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick.
• Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support.
  
  

What we're looking for:

• You’ve spent 3+ years supporting enterprise customers with a confident, calm approach.
• 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers.
• You deliver top-tier customer experiences with stellar written and verbal communication.
• You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more.
• You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff.
• Experience with AWS, Azure, or GCP; AWS EKS experience is a plus.
• Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning.
• Extra kudos if you bring a KCNA or CKA certification and aspire to be a future Kubestronaut.
• Startup experience? Even better.  You’ve navigated fast lanes before.

A curious soul who learns faster than a caffeinated squirrel.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

At Staffbase, security is at the heart of everything we build. Our Product Security team helps keep our products and customer data secure while enabling engineering teams across the company. We believe the best security work happens when people bring their authentic selves and diverse perspectives to the table and we’re proud of the unique mix of talents and backgrounds in our team.

As an enablement team, we provide tools, guidance, and insights that allow developers to integrate security early in the development process. We see security not as a blocker but as a trusted partner that is the foundation for better products. With us, you’ll get hands-on experience with modern security practices, mentorship from experienced engineers, and the chance to make a visible impact in a global SaaS environment.

We work together with curiosity, humility, and a growth mindset, supporting each other, taking ownership of our contributions, and celebrating progress along the way. Here, your ideas matter, your work will shape how we build secure products, and you’ll have space to grow into new challenges.

What you’ll be doing 

• Take ownership of tasks that improve our security automation and strengthen our product security pipelines
• Proactively explore the use of AI for vulnerability detection and remediation
• Continuously learn and share knowledge about how vulnerabilities apply in our specific product context
• Support the team by enhancing our services with software engineering solutions
• Collaborate closely with stakeholders across the product department and gain broad exposure to how a growing SaaS company operates
• Maintain our outbound e-mail security by regularly reviewing the related metrics
• Maintain our Web Application Firewall ruleset
• Maintain our central HTML sanitization service written in Typescript

What you need to be successful 

• Programming knowledge, preferably in one of: TypeScript, JavaScript, Kotlin, Java, Go, or Python
• Practical knowledge of Unix basics and Kubernetes infrastructure 
• Practical knowledge of security topics (e.g. penetration testing, secure software development, vulnerability management, SAST, DAST) and curiosity to deepen this knowledge
• Experience with infrastructure-as-code, preferably via Terraform and Kustomize
• A structured and organized way of working with attention to detail
• Strong communication skills in English (German is a plus)

What you'll get 

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support - we’re offering a company pension scheme
• Volunteers Day - you’ll get one day off per year for supporting a social project

At Staffbase, security is at the heart of everything we build. Our Product Security team helps keep our products and customer data secure while enabling engineering teams across the company. We believe the best security work happens when people bring their authentic selves and diverse perspectives to the table and we’re proud of the unique mix of talents and backgrounds in our team.

As an enablement team, we provide tools, guidance, and insights that allow developers to integrate security early in the development process. We see security not as a blocker but as a trusted partner that is the foundation for better products. With us, you’ll get hands-on experience with modern security practices, mentorship from experienced engineers, and the chance to make a visible impact in a global SaaS environment.

We work together with curiosity, humility, and a growth mindset, supporting each other, taking ownership of our contributions, and celebrating progress along the way. Here, your ideas matter, your work will shape how we build secure products, and you’ll have space to grow into new challenges.

What you’ll be doing 

• Take ownership of tasks that improve our security automation and strengthen our product security pipelines
• Proactively explore the use of AI for vulnerability detection and remediation
• Continuously learn and share knowledge about how vulnerabilities apply in our specific product context
• Support the team by enhancing our services with software engineering solutions
• Collaborate closely with stakeholders across the product department and gain broad exposure to how a growing SaaS company operates
• Maintain our outbound e-mail security by regularly reviewing the related metrics
• Maintain our Web Application Firewall ruleset
• Maintain our central HTML sanitization service written in Typescript

What you need to be successful 

• Programming knowledge, preferably in one of: TypeScript, JavaScript, Kotlin, Java, Go, or Python
• Practical knowledge of Unix basics and Kubernetes infrastructure 
• Practical knowledge of security topics (e.g. penetration testing, secure software development, vulnerability management, SAST, DAST) and curiosity to deepen this knowledge
• Experience with infrastructure-as-code, preferably via Terraform and Kustomize
• A structured and organized way of working with attention to detail
• Strong communication skills in English (German is a plus)

What you'll get 

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support - we’re offering a company pension scheme
• Volunteers Day - you’ll get one day off per year for supporting a social project

At Staffbase, security is at the heart of everything we build. Our Product Security team helps keep our products and customer data secure while enabling engineering teams across the company. We believe the best security work happens when people bring their authentic selves and diverse perspectives to the table and we’re proud of the unique mix of talents and backgrounds in our team.

As an enablement team, we provide tools, guidance, and insights that allow developers to integrate security early in the development process. We see security not as a blocker but as a trusted partner that is the foundation for better products. With us, you’ll get hands-on experience with modern security practices, mentorship from experienced engineers, and the chance to make a visible impact in a global SaaS environment.

We work together with curiosity, humility, and a growth mindset, supporting each other, taking ownership of our contributions, and celebrating progress along the way. Here, your ideas matter, your work will shape how we build secure products, and you’ll have space to grow into new challenges.

What you’ll be doing 

• Take ownership of tasks that improve our security automation and strengthen our product security pipelines
• Proactively explore the use of AI for vulnerability detection and remediation
• Continuously learn and share knowledge about how vulnerabilities apply in our specific product context
• Support the team by enhancing our services with software engineering solutions
• Collaborate closely with stakeholders across the product department and gain broad exposure to how a growing SaaS company operates
• Maintain our outbound e-mail security by regularly reviewing the related metrics
• Maintain our Web Application Firewall ruleset
• Maintain our central HTML sanitization service written in Typescript

What you need to be successful 

• Programming knowledge, preferably in one of: TypeScript, JavaScript, Kotlin, Java, Go, or Python
• Practical knowledge of Unix basics and Kubernetes infrastructure 
• Practical knowledge of security topics (e.g. penetration testing, secure software development, vulnerability management, SAST, DAST) and curiosity to deepen this knowledge
• Experience with infrastructure-as-code, preferably via Terraform and Kustomize
• A structured and organized way of working with attention to detail
• Strong communication skills in English (German is a plus)

What you'll get 

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support - we’re offering a company pension scheme
• Volunteers Day - you’ll get one day off per year for supporting a social project

At Staffbase, security is at the heart of everything we build. Our Product Security team helps keep our products and customer data secure while enabling engineering teams across the company. We believe the best security work happens when people bring their authentic selves and diverse perspectives to the table and we’re proud of the unique mix of talents and backgrounds in our team.

As an enablement team, we provide tools, guidance, and insights that allow developers to integrate security early in the development process. We see security not as a blocker but as a trusted partner that is the foundation for better products. With us, you’ll get hands-on experience with modern security practices, mentorship from experienced engineers, and the chance to make a visible impact in a global SaaS environment.

We work together with curiosity, humility, and a growth mindset, supporting each other, taking ownership of our contributions, and celebrating progress along the way. Here, your ideas matter, your work will shape how we build secure products, and you’ll have space to grow into new challenges.

What you’ll be doing 

• Take ownership of tasks that improve our security automation and strengthen our product security pipelines
• Proactively explore the use of AI for vulnerability detection and remediation
• Continuously learn and share knowledge about how vulnerabilities apply in our specific product context
• Support the team by enhancing our services with software engineering solutions
• Collaborate closely with stakeholders across the product department and gain broad exposure to how a growing SaaS company operates
• Maintain our outbound e-mail security by regularly reviewing the related metrics
• Maintain our Web Application Firewall ruleset
• Maintain our central HTML sanitization service written in Typescript

What you need to be successful 

• Programming knowledge, preferably in one of: TypeScript, JavaScript, Kotlin, Java, Go, or Python
• Practical knowledge of Unix basics and Kubernetes infrastructure 
• Practical knowledge of security topics (e.g. penetration testing, secure software development, vulnerability management, SAST, DAST) and curiosity to deepen this knowledge
• Experience with infrastructure-as-code, preferably via Terraform and Kustomize
• A structured and organized way of working with attention to detail
• Strong communication skills in English (German is a plus)

What you'll get 

• Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
• Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
• Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
• Support - we’re offering a company pension scheme
• Volunteers Day - you’ll get one day off per year for supporting a social project

Job Teaser

As a Site Reliability Engineer in our Platform Squad, you will be a key player in keeping Flip's infrastructure fast, resilient and ready to scale. You'll shape the reliability culture, tooling and practices that allow our engineering teams to ship with confidence - at scale and without compromising availability.

This role is perfect for an engineer who is passionate about building high-throughput, highly available systems and who wants to shape how a fast-growing SaaS platform runs in production.

What awaits you with us

• Enable scaling: Further expand and optimize our cloud infrastructure on Azure and our Kubernetes clusters - designed for high throughput and highest availability - to support Flip's rapid growth across the globe.
• Ensure resilience & safety: Design and implement zero-downtime deployments, rollback mechanisms and disaster-recovery strategies that keep our platform available around the clock.
• Create observability: Evolve our LGTM stack (Loki, Grafana, Tempo, Mimir) to give every team the visibility they need - and use it to define and optimize our SLOs.
• Automate everything: Design, develop and optimize infrastructure as code with Pulumi in Go, eliminating toil and making our platform self-service for engineering teams.
• Champion reliability practices: Promote CI/CD best practices, incident management, post-mortems and developer experience across the entire engineering organization.
• Shape our roadmap: Collaborate with your squad and engineering leadership to define the platform's direction - from scalable, high-throughput systems and cost optimization to security posture and compliance.

What you bring to the table

We're looking for a hands-on, product-minded engineer who is passionate about high-throughput, highly available systems - and who cares about reliability as much as velocity.

Must-Have Qualifications

• You have 1–3 years of hands-on experience as a Site Reliability Engineer (SRE), Platform Engineer, DevOps Engineer, Infrastructure Engineer, Cloud Engineer, or Backend Engineer with a strong infrastructure focus.
• Experience operating and scaling cloud infrastructures (Azure, GCP, AWS).
• Deep knowledge of Kubernetes and container orchestration in production environments.
• Hands-on experience with modern observability stacks (e.g. Prometheus, Mimir, Loki, ELK) and comfortable defining and operating SLOs and error budgets.
• Solid software development skills in Go (preferred, since our IaC runs on Pulumi in Go), Python or Kotlin.
• Hands-on experience with infrastructure as code (e.g. Pulumi, OpenTofu, Terraform) and configuration tooling (e.g. Ansible, Chef).
• A collaborative mindset, strong communication skills and business-fluent English.
• Willingness to participate in on-call rotations to ensure the reliability of our platform.

Nice-to-Have Qualifications

• Experience building and operating high-throughput, highly available systems in production.
• Experience with Azure Kubernetes Service (AKS) specifically.
• Experience with Kubernetes Gateway API and Envoy Gateway.
• Familiarity with GitOps workflows and CI/CD pipeline design.
• Knowledge of service mesh technologies (e.g. Linkerd, Istio).
• Experience with Kubernetes Operators (e.g. Strimzi, CNPG)
• Experience with operating High-Availability PostgreSQL

Stellenbeschreibung

Als Site Reliability Engineer in unserem Platform Squad wirst du eine Schlüsselrolle dabei spielen, Flips Infrastruktur schnell, belastbar und bereit für Skalierung zu halten. Du wirst die Reliability-Kultur, Tools und Praktiken gestalten, die es unseren Engineering-Teams ermöglichen, mit Vertrauen zu veröffentlichen – im großen Maßstab und ohne Kompromisse bei der Verfügbarkeit. Diese Rolle ist perfekt für einen Engineer mit Leidenschaft für den Aufbau von Hochdurchsatz- und hochverfügbaren Systemen, der mitgestalten möchte, wie eine schnell wachsende SaaS-Plattform im Produktivbetrieb läuft.

Was dich bei uns erwartet

• Skalierung ermöglichen: Erweitere und optimiere unsere Cloud-Infrastruktur auf Azure und unsere Kubernetes-Cluster – ausgelegt auf hohen Durchsatz und höchste Verfügbarkeit – um das schnelle weltweite Wachstum von Flip zu unterstützen.

• Resilienz & Sicherheit gewährleisten: Entwirf und implementiere Zero-Downtime-Deployments, Rollback-Mechanismen und Disaster-Recovery-Strategien, die unsere Plattform rund um die Uhr verfügbar halten.

• Observability schaffen: Entwickle unseren LGTM-Stack (Loki, Grafana, Tempo, Mimir) weiter, um jedem Team die nötige Sichtbarkeit zu geben – und nutze ihn, um unsere SLOs zu definieren und zu optimieren.

• Alles automatisieren: Entwirf, entwickle und optimiere Infrastructure as Code mit Pulumi in Go, um manuellen Aufwand (Toil) zu eliminieren und unsere Plattform für Engineering-Teams als Self-Service bereitzustellen.

• Reliability-Praktiken vorantreiben: Fördere CI/CD Best Practices, Incident Management, Post-Mortems und Developer Experience in der gesamten Engineering-Organisation.

• Unsere Roadmap gestalten: Arbeite mit deinem Squad und dem Engineering-Leadership zusammen, um die Richtung der Plattform zu definieren – von skalierbaren Hochdurchsatz-Systemen und Kostenoptimierung bis hin zu Security Posture und Compliance.

Was du mitbringst

Wir suchen einen Hands-on, produktorientierten Engineer mit einer Leidenschaft für hochverfügbare Hochdurchsatz-Systeme – und dem Zuverlässigkeit genauso wichtig ist wie Geschwindigkeit.

Must-Have Qualifikationen

• Du hast 1–3 Jahre Hands-on-Erfahrung als Site Reliability Engineer (SRE), Platform Engineer, DevOps Engineer, Infrastructure Engineer, Cloud Engineer oder Backend Engineer mit starkem Infrastruktur-Fokus.

• Erfahrung im Betrieb und in der Skalierung von Cloud-Infrastrukturen (Azure, GCP, AWS).

• Tiefe Kenntnisse in Kubernetes und Container-Orchestrierung in Produktionsumgebungen.

• Hands-on-Erfahrung mit modernen Observability-Stacks (z. B. Prometheus, Mimir, Loki, ELK) und vertraut mit der Definition und dem Betrieb von SLOs und Error Budgets.

• Fundierte Software-Entwicklungskenntnisse in Go (bevorzugt, da unser IaC auf Pulumi in Go läuft), Python oder Kotlin.

• Hands-on-Erfahrung mit Infrastructure as Code (z. B. Pulumi, OpenTofu, Terraform) und Konfigurations-Tools (z. B. Ansible, Chef).

• Ein kollaboratives Mindset, starke Kommunikationsfähigkeiten und verhandlungssicheres Englisch.

• Bereitschaft zur Teilnahme an On-Call-Rotationen (Rufbereitschaft), um die Zuverlässigkeit unserer Plattform zu gewährleisten.

Nice-to-Have Qualifikationen

• Erfahrung im Aufbau und Betrieb von Hochdurchsatz- und hochverfügbaren Systemen im Produktivbetrieb.

• Speziell Erfahrung mit Azure Kubernetes Service (AKS).

• Erfahrung mit Kubernetes Gateway API und Envoy Gateway.

• Vertrautheit mit GitOps-Workflows und CI/CD-Pipeline-Design.

• Kenntnisse in Service-Mesh-Technologien (z. B. Linkerd, Istio).

• Erfahrung mit Kubernetes Operators (z. B. Strimzi, CNPG).

• Erfahrung mit dem Betrieb von High-Availability PostgreSQL.

Mission Brief 

We are seeking a versatile Hybrid Infrastructure Engineer to bridge the gap between our on-premise virtualization and multi-cloud footprint. This is a "best of both worlds" role: you will manage our private cloud clusters (VMware/Proxmox) while orchestrating production workloads across Azure, AWS, and IONOS Cloud. The ideal candidate is a Debian Linux expert who views manual configuration as a failure and uses Ansible and Terraform to automate everything from the OS kernel to global network routing.

Your Role in Our Space Mission: 

• Multi-Cloud Administration: Design and maintain scalable infrastructure across Azure, AWS, and IONOS Cloud.
• Virtualization Management: Oversee our on-premise footprint using VMware vSphere and Proxmox VE.
• Infrastructure as Code (IaC): Develop and maintain Terraform modules for provisioning and Ansible playbooks for configuration.
• System Mastery: Provide expert-level support for Debian Linux environments (security patching, performance tuning, and troubleshooting).
• Network Troubleshooting: Resolve complex connectivity issues involving Site-to-Site VPNs, Cloud VPCs, and local VLANs.
• Disaster Recovery: Ensure data integrity and high availability across all platforms through automated backup strategies.

Qualification Checklist 

• 3–5+ years of experience as a Systems Administrator, Linux Administrator, or Cloud Administrator
• Strong hands-on experience with Linux-based systems (administration, troubleshooting, automation)
• Cloud platform experience (Azure and/or AWS preferred)
• Relevant industry certifications, such as: (Red Hat Certified Engineer (RHCE), Microsoft Azure Administrator (AZ-104 or equivalent), AWS Certified SysOps Administrator)
• Operating Systems: Advanced proficiency in Debian, Redhat  Linux.
• Cloud Providers: Proven experience with Azure and AWS. (Familiarity with IONOS Cloud is a major plus).
• Automation: Professional experience with Ansible and Terraform in a production environment.
• Virtualization: Hands-on expertise with VMware (ESXi/vCenter) and Proxmox (KVM/LXC).
• Networking: Strong understanding of TCP/IP, DNS, Firewall rules, and Load Balancing.

Bonus Skills

• Relevant industry certifications, such as: (Red Hat Certified Engineer (RHCE), Microsoft Azure Administrator (AZ-104 or equivalent), AWS Certified SysOps Administrator)
• Scripting: Proficiency in Bash or Python.

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Rental clothing with laundry service: Enjoy hassle-free workwear with our convenient rental clothing and laundry service  
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team.         
  

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection
We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer
Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

Über IP Fabric 

Werde Teil der treibenden Kraft für Netzwerkautomatisierung! 

Bei IP Fabric ermöglichen wir es unseren Kunden, die Wahrheit über ihre Netzwerke zu erkennen. Entwickelt von Netzwerkprofis und Branchenexperten, verändern unsere innovativen Lösungen die Art und Weise, wie Unternehmen ihre Netzwerke verwalten. Als Unternehmen nach der Series-B-Finanzierung wachsen wir schnell in Europa, den USA und darüber hinaus.  

Über die Rolle 

• Dies ist keine typische „Demo-Jockey“-Position. Es geht darum, potenziellen Kunden zu zeigen, was möglich ist, wenn sie Klarheit, Kontrolle und Vertrauen in ihre Netzwerke haben. 
• Als Senior Solutions Architect bei IP Fabric arbeitest Du mit einigen der komplexesten und anspruchsvollsten Enterprise-Umgebungen in der DACH-Region. Du begleitest unsere Prospects dabei zu verstehen, was moderne Network Assurance wirklich bedeutet, und verbindest tiefes technisches Verständnis mit konkreten geschäftlichen Ergebnissen und Zielorientierung im Vertrieb. 
• Du arbeitest eng mit Sales, Produktmanagement und Engineering zusammen und arbeitest im Vertriebsprozess klar unseren Mehrwert duch KI/Automatisierung, Integrationen und das Zusammenspiel im Ökosystem heraus. Du bringst technische Expertise und souveränes Auftreten auf Managementebene in jede Unterhaltung ein, übersetzt Komplexität in klare Handlungsempfehlungen und hilfst Kunden, schneller bessere Entscheidungen zu treffen. 
• Diese Rolle ist sowohl technisch als auch strategisch. Sie eignet sich ideal für jemanden, der in wirkungsvollen Gesprächen mit IT-Führungskräften von Unternehmen aufblüht und gleichzeitig bereit ist, praktisch Lösungen zu entwickeln, zu testen und zu validieren. 

Deine Aufgaben 

• Durchführung technischer Discovery-Workshops zur Identifikation von Herausforderungen und Ableitung messbarer Ergebnisse  
• Übersetzung von Network-Assurance-Potenzialen in klare Business-Impact-Aussagen (Risikoreduktion, Compliance, Effizienzsteigerung)  
• Konzeption und Umsetzung von Proof-of-Concepts (PoC) zur Demonstration des Mehrwerts von IP Fabric in hybriden und Cloud-Netzwerken  
• Präsentation von Integrationen mit wichtigen Partnern wie ServiceNow, NetBox, Nautobot, Splunk usw.
• Zusammenarbeit mit Produkt- und Engineering-Teams zur strukturierten Weitergabe von Feedback aus dem Feld und zur Mitgestaltung der Product Roadmap  
• Enge Abstimmung mit Account Executives zur Definition technischer Strategien, Planung von PoCs und erfolgreichen Evaluierungen  
• Befähigung interner Teams und Partner durch starke Narrative: wie funktioniert IP Fabric und warum ist es für die Transformation von Unternehmen entscheidend 
• Repräsentation von IP Fabric als echter Partner und „trusted advisdor“ bei Kundenworkshops, Konferenzen und Branchenveranstaltungen  

Dein Profil 

• 6+ Jahre Erfahrung im Enterprise-Networking: Du hast große, globale Netzwerkumgebungen entworfen, betrieben oder automatisiert (Rechenzentren, SDN, Campus, SD-WAN)  
• Fundierte Multi-Domain-Erfahrung in On-Premises-, Hybrid- und Cloud-Netzwerken (AWS, Azure, GCP)  
• Tiefgehendes Verständnis von Architekturprinzipien (z. B. Modularität, Trade-offs, Einfachheit vs. Overengineering, Ausrichtung an Business-Zielen) sowie L2/L3-Protokollen und Konzepten (BGP, OSPF, VRF, ACLs, VLANs)  
• Erfahrung mit relevanten Ökosystemen wie ServiceNow CMDB, NetBox, Nautobot, Ansible, Terraform oder ähnlichen Technologien  
• Nachgewiesene Fähigkeit, technische Komplexität in klare, ergebnisorientierte Gespräche mit Fach- und Führungskräften zu übersetzen  
• Kommunikationsstärke: Du bist souverän sowohl am Whiteboard als auch in Präsentationen vor Führungskräften  
• Erfahrung in der Strukturierung von Discovery-Ergebnissen, Definition von Erfolgskriterien und Erstellung von Value-Narrativen nach PoCs  
• Leidenschaft dafür, Unternehmen bei der Modernisierung, Validierung und Automatisierung ihrer Netzwerke zu unterstützen  
• Deutschkenntnisse auf Muttersprachniveau, verhandlungssicheres Englisch in Wort und Schrift 

Von Vorteil 

• Zertifizierungen wie CCNP/CCDE, DevNet Professional oder vergleichbare Qualifikationen  
• Erfahrung mit Network-Assurance-, Observability- oder Orchestrierungsplattformen (z. B. IP Fabric, Cisco NSO, GitHub Actions)  
• Kenntnisse in Sicherheits-, Compliance- oder Change-Management-Frameworks (NIST, CIS, PCI, HIPAA etc.)  
• Praktische Erfahrung in Automatisierung: Python, REST APIs, Git-Workflows, Jinja, Nornir, YAML/JSON sowie CI/CD  

Benefits & Vorteile 

• 25 Urlaubstage + 5 Flexi-Days 
• Arbeit komplett remote möglich  
• Boni zum Firmenjubiläum  
• Zusammenarbeit mit internationalen Teams  
• Regelmäßige Team- und Firmenevents  

Werde Teil unserer einzigartigen Unternehmenskultur in einem gründergeführten Startup, in der Du aktiv unser Wachstum mitgestaltest und die Möglichkeit hast, echten Mehrwert auf für unsere weltweit führenden Kunden zu stiften. Bei IP Fabric erwartet Dich ein flexibles Arbeitsumfeld mit Fokus auf Work-Life-Balance und Entwicklungsmöglichkeiten. 

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role

We're looking for a Backend Engineer to join our small, focused ClickHouse team. You'll work on the systems that power our managed ClickHouse service – building, scaling, and operating infrastructure that thousands of customers depend on daily.

You'll write Python that orchestrates database lifecycle operations, dig into Linux internals when things get interesting, and ship features through a well-established CI/CD pipeline. You'll work in a modern async-first Python codebase alongside engineers who care about code quality, type safety, and automation.

If you have experience with ClickHouse internals or C++ – even better. But what matters most is strong backend fundamentals and a genuine interest in databases and distributed systems.

What You'll Do

• Design, build, and maintain backend services in Python (FastAPI, asyncio, psycopg2) that manage the ClickHouse service lifecycle
• Work with CI/CD pipelines (Buildkite, GitHub Actions) to ship code reliably and often
• Investigate and resolve production issues across the stack – from Python application code down to Linux system behavior
• Contribute to technical planning within a small team where your input directly shapes the roadmap
• Write well-tested, type-checked code and participate in thorough code reviews
• Use AI coding tools as part of your daily workflow to accelerate development

What We're Looking For

Must have:

• Solid Python development skills -- you write clean, production-grade Python and understand async patterns (asyncio, aiohttp)
• Strong understanding of databases -- you know how relational and analytical databases work under the hood, not just how to query them
• Deep Linux knowledge (Fedora preferred) -- comfortable with systemd, process management, filesystem internals, and debugging at the OS level
• CI/CD experience -- you've built and maintained delivery pipelines, not just used them
• Familiarity with automated testing -- unit, integration, and system tests are part of how you work
• Experience with AI coding tools -- you actively use AI-assisted development in your workflow and understand how to get the most out of it
• Distributed systems awareness -- you understand the challenges of running services across multiple nodes and regions
• Fluent English -- written and verbal

Nice to have:

• ClickHouse experience -- operational knowledge, query optimization, or contributions to the project
• C++ or C -- ability to read and contribute to database engine code
• Cloud infrastructure experience (AWS, GCP, Azure) with Terraform or similar IaC tools
• PostgreSQL operational experience
• Software and network security knowledge

Why This Role

• Small team, big impact. You're not a cog -- you'll shape the technical direction of a product used at scale.
• Real engineering problems. Database orchestration, distributed systems, performance at scale -- not CRUD apps.
• Modern tooling. Strict type checking, automated formatting, security scanning, and AI-assisted development are the norm, not aspirations.
• Berlin-based, hybrid. The team is in the office 3 times per week.

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Ability to lead conversations focused at various audiences including technical, business, and executive level.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• Hands on experience deploying and troubleshooting various k8s distributions
• Solid understanding of computer networking concepts along with hands on experience in cloud 
  networking
• Comfortable leading security architecture discussions with various audiences.
• Knowledge of ASM methodologies, network reconnaissance, cloud security, and vulnerability assessment.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• Deep, practical knowledge of the AppSec landscape, including Application Security Posture Management (ASPM), SAST, DAST, SCA, and the operational use of SBOMs (SPDX/CycloneDX) and their practical use cases for vulnerability and license management.
• Demonstrable proficiency in one or more high-level languages (e.g., Python, Go, Rust) and/or advanced shell scripting. 
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Exceptional ability to present complex technical concepts to a wide range of audiences—from deeply technical developer teams to executive-level (CISO, CTO) stakeholders.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Serve as the company's top field expert in application and cloud-native security and provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

SUMMARY

WHAT YOU’LL DO

• Lead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them 
• Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls 
• Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  
• Build deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions 

WHAT YOU’LL BRING

• 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: 
• AWS platforms and services (we will also consider equivalent experience in Azure and GCP) 
• Kubernetes (AWS EKS) and container infrastructure 
• IAM and managing cloud identities at-scale 
• Secure development and application of IAC solutions (Terraform, Helm) 
• Cloud-native observability and management tools 
• Development experience in Go, Python and Rust

PREFERRED QUALIFICATIONS

• Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree 
• Experience working with remote, globally distributed teams  
• Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   
• Experience with CNAPP, CSPM, or CIEM solutions

#LI-Remote

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

About Buynomics:  

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.

About the role:  

Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.

As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.

This role focuses on:

• Secure single-tenant deployments in customer-controlled environments (Azure-first)
• Kubernetes-based service architecture across clouds
• Scalable infrastructure for distributed compute and ML workloads
• Infrastructure automation, security, and operational excellence

You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.

Why this role:

• Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
• Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
• Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
• AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
• Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team

What you'll do:  

• Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
• Build and maintain reusable Infrastructure-as-Code modules (Terraform)
• Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
• Implement GitOps-based CI/CD and automated environment provisioning
• Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
• Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
• Establish observability standards (structured logging, metrics, distributed tracing, alerting)
• Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
• Collaborate with engineering teams to define clean service deployment contracts
• Define platform standards, architectural decision records, and operational runbooks
• Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
• Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit

What you'll need:

• 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
• Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
• Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
• Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
• Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
• Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
• Experience designing CI/CD and GitOps workflows
• Experience operating distributed or high-concurrency workloads
• Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
• Strong system design skills and ability to operate at Staff-level technical depth
• Ability to navigate ambiguity and move initiatives forward independently

Nice-to-Haves:

• Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
• MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
• Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
• GPU workload optimization and scheduling
• Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
• Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
• Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
• FinOps practices and multi-environment cost governance

What we offer:

• Dynamic Environment: Join a truly international and diverse team where your ideas matter.
• Flexible Work Model: Enjoy a remote setup with offices located in Cologne.
• Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
• Local Language Classes: Participate in language lessons to support your integration and personal development.
• Urban Sports Club Membership
• Deutschlandticket
• Personal and professional growth opportunities
• Regular company events 

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Remote

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in.

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet.

Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys.

Experience, Tech & AI

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.

We are now looking for a Senior DevSecOps Engineer who connects platform engineering, security, and automation to build robust, scalable foundations for modern digital and AI-driven systems.

Our local benefits

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like
• Working for strong brands and clients we believe in
• 30 days vacation per year
• Company Benefits
• Urban Sports Club
• Nice people in welcoming teams

What you can expect

Cloud, Platform & Automation

• Design and operate scalable cloud infrastructures and platform setups
• Automate deployments, environments, and operational processes
• Build reliable foundations for fast, stable, and traceable releases 

Security by Design

• Integrate security early into development and operations
• Define and enforce standards across infrastructure, access, secrets, and data flows
• Identify risks early and implement pragmatic, maintainable solutions 

Reliability, Monitoring & Collaboration

• Ensure observability, availability, and resilience of systems
• Collaborate with engineering, architecture, and product teams
• Bring structure to complex environments and balance speed with quality

What we'd love to see

• Several years of experience in DevOps, DevSecOps, Platform Engineering, or Cloud Operations
• Strong knowledge of CI/CD, Infrastructure as Code, and cloud architectures
• Experience with container technologies and automated deployment pipelines
• Solid understanding of security principles, IAM, secrets management, and distributed systems security
• Hands-on experience with monitoring, logging, incident handling, and troubleshooting
• Familiarity with tools like Terraform, GitHub Actions, GitLab CI, or similar
• Experience with GCP, Kubernetes, or Cloud Run is a plus
• Exposure to security automation, policy enforcement, or vulnerability scanning
• Experience with AI/data platforms or production AI systems is a plus
• Understanding of FinOps and cost-aware infrastructure is beneficial
• Clear, pragmatic communication of complex technical topics
• Fluent in German and/or English (B2–C1)
• Work permit for Germany and at least one year of work onsite in Germany

You’ll be the backbone of secure and scalable delivery, bridging internal platforms and client projects. By embedding security, automation, and reliability into every layer, you enable teams to ship faster, operate safely, and scale with confidence.

We care about your personality and professional skills. We don't care about your gender, age, nationality or appearance and are open to working with everyone.

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity is responsible, which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here.

If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in. 

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet. 

Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys. 

Experience, Tech & AI 

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.  

We are now looking for a Solution Architect who designs scalable cloud and AI platforms on Google Cloud—connecting systems, data, and intelligence into robust, future-ready architectures.

Our local benefits 

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like 
• Working for strong brands and clients we believe in 
• 30 days vacation per year 
• Urban Sports Club 
• Nice people in welcoming teams 

What you can expect

Architecture & Platform Design

• Design cloud architectures for digital products, data platforms, and AI-driven solutions on GCP, AWS or Azure
• Define end-to-end system architecture across data, services, and AI workflows
• Ensure scalability, maintainability, and long-term viability of architectural decisions
• Create architecture documentation and diagrams outlining key decisions and solutions to technical challenges

Integration & System Landscape

• Define interfaces, integration patterns, and system interactions
• Assess existing enterprise landscapes and design integration strategies (e.g. SAP, CDP, CMS, DAM)
• Connect data sources, AI models, and content systems into a coherent architecture

Scalability, Governance & Collaboration

• Define security concepts, operating models, and architectural guardrails
• Make informed decisions on compute, storage, messaging, identity, observability, and deployment
• Work closely with engineering, security, and business teams to establish a viable target architecture
• Balance MVP thinking with long-term platform scalability
• Help teams reduce complexity and choose the right technical setup
• Contribute to RFPs, pitches, and the development of visionary architecture concepts
• Evaluate emerging technologies, recommend suitable adoption strategies for customer projects and suggest improvements on cost, performance, and maintainability

What we'd love to see

• Several years of experience in system architecture (cloud, data, APIs)
• Proven experience as a Solution Architect or in a comparable technical leadership role
• Strong expertise in GCP and AWS
• Deep understanding of platform design and modular architectures
• Experience integrating complex enterprise systems
• Solid knowledge of security best practices, data modeling, and system performance optimization
• Hands-on experience with DevOps tools (CI/CD pipelines, containerization, IaC with Terraform or ARM)
• Ability to communicate technical decisions clearly and effectively
• Confident in client-facing settings, with the ability to engage and advise senior stakeholders (e.g. CTOs)
• Experience in Buy vs. Build decisions
• Very good German and English language levels (C1+)
• Work permit for Germany and at least one year of work onsite in Germany

Your impact

You’ll be the architectural bridge between creativity and computation, enabling WongDoody’s teams to design and deliver intelligent, modular, and headless experiences that scale. Your architectures will empower brands to connect faster, adapt smarter, and evolve with technology, one API at a time.

We care about your personality and professional skills. We don't care about your gender, age, nationality, or appearance and are open to working with everyone.  

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity responsible which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here. 

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in. 

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet. 

Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys. 

Experience, Tech & AI 

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.  

We are now looking for a Senior AI Engineer who combines strong engineering fundamentals with a pragmatic delivery mindset—turning ambitious ideas into stable, scalable AI systems.

Our local benefits 

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like 
• Working for strong brands and clients we believe in 
• 30 days vacation per year 
• Company Benefits
• Urban Sports Club 
• Nice people in welcoming teams 

What you can expect 

AI Systems & Service Architecture

• Design and build production-ready AI services and backend systems
• Develop APIs, orchestrations, and integrations for GenAI and LLM-based applications
• Create technical foundations that enable teams to build, scale, and operate reliably
• Contribute to RFPs, pitches, and forward-looking AI solution concepts 

Reliability, Scale & Performance

• Ensure AI solutions run reliably, perform efficiently, and remain cost-effective
• Make architectural decisions around scalability, monitoring, security, and maintainability
• Optimize systems across quality, latency, operational cost, and developer experience 

Technical Leadership & Collaboration

• Work closely with Creative Technologists, Product, Design, and Engineering
• Lead technical discussions and bring clarity to complex initiatives
• Support other engineers through reviews, sparring, and best practices
• Engage in client-facing conversations and explain technical concepts to senior stakeholders

What we'd love to see 

• A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes
• Analytical and structured mindset with the ability to make complexity simple
• End-to-end architecture from prototyping to production (including CI/CD, logging, analytics, and scaling)
• Several years of experience building production-grade AI or backend systems
• Strong experience in software engineering (Python and/or TypeScript)
• Practical knowledge of LLM frameworks,tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
• Experience in integrating visual AI tools such as ComfyUI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems
• Proven experience integrating text-based AI APIs like ChatGPT, Claude, Gemini, or Llama into end-to-end workflow solutions
• Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines
• Understanding of real-time communication protocols (Websocket / gRPC / PubSub event handling) and API integration across data and creative environments
• Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resources cost factor and ability to optimize it
• Open-source engagement or hands-on experimentation with AI agents, visual frameworks, or orchestration systems
• Excellent English communication skills (German is a plus)
• Work permit for Germany and at least one year of work onsite in Germany
• Nice to have: Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems

Your impact 

You’ll shape the future of AI agent experiences and scalable AI systems that work reliably in production environments, create standards, and transform complex systems into meaningful, measurable experiences - for users, brands, and products. 

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity responsible which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here. 

If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net.

The Role

We are looking for a Senior Backend Software Engineer (Java) to join the Provisioning & Licensing team. This is a high-impact role that demands significant autonomy and ownership, driving the technical design and delivery of mission-critical systems.

You will be responsible for our core provisioning pipeline. Additionally, you will apply your expertise and technical knowledge to support the development of our strategic Self-Managed Platform Solution for highly regulated environments. If you thrive on complexity, enjoy taking architectural contributions from design to production, and want to own systems that directly enable multi-million dollar market expansion, this is your next role.

The Team: Provisioning & Licensing

You will be part of the Provisioning & Licensing team, the vital "glue team" between our business functions and the core platform.

• The team owns the latency-sensitive internal APIs for automatically creating new tenants based on customer data, as well as our internal Feature & Configuration system (like a car configurator, just for microservices!).
• Your team is a central internal unit with many touchpoints across other engineering teams and business teams like Licensing Management.
• When it comes to prioritization, we value your input and expect you to contribute actively to the prioritization discussions in our dynamic environment.

The Tech Stack

Our stack is modern, cloud-native, and focused on portability to support our strategic on-premise deployments.

• Core Technologies: Java 25, Spring Boot, Postgres as the main datastore.
• Containerization: We are all in on containerization and orchestration, running our applications on Kubernetes (K8s).
• Architecture: We develop within a new & modern modular monolithic application with strongly enforced boundaries between the modules.
• DevOps: Writing deployment files with the help of Kustomize and deploying our applications with Github CI and Kargo. We use Datadog for metrics, logs, and as our APM tool.

The Work You’ll Do

This role requires you to operate with a high degree of independence, owning complex technical problem spaces, and applying your expertise to strategic initiatives.

• End-to-End Problem Ownership: Independently take ownership of significant portions of the development process from architecture to delivery. You build it, you own it! (We mean it.)
• Self-Managed Solution Contribution: Contribute to the implementation of the Self-Managed Platform Solution. You will support the team by implementing components, tooling, and integration patterns, leveraging your knowledge of Kubernetes, IaC, and On-Premise environments to help package and operationalize our core platform.
• Technical Strategy: Have a strong say in the technical vision and strategy for your team, balancing trade-off decisions between the cloud and self-managed deployment models (hello, complexity!).
• Reliability & Scalability: Continuously focus on the scalability and reliability of our services, upholding the defined latency SLAs.
• Collaboration & Documentation: Collaborate with other Engineering teams (i.e., Identity, Platform) to deliver broad-impact technical projects. Actively ensure high software quality standards and thoroughly document processes, concepts, and insights (help us save time later!).

The Qualifications You Need

• 7+ years of professional experience building high-performance Java applications.
• Strong practical experience with Spring frameworks.
• Expert-level familiarity with containerization (i.e., Docker) and proven experience deploying and managing applications on Kubernetes (K8s).
• Experience with REST APIs and/or distributed micro-service architecture.
• Experience in writing and setting up comprehensive tests (unit and integration tests).
• Strong communication skills in English and a passion for clean and understandable code.

Nice to Have (High-Impact Skills):

• Infrastructure as Code (IaC): Hands-on experience with tools like Terraform.
• Systems Programming: Experience with languages like Go for building automation and tooling.
• On-Premise Experience: Prior experience with the architectural and operational challenges of On-Premise or Self-Managed enterprise solutions, including deployment models and packaging (e.g., Helm).
• Experience with monitoring and log analysis capabilities (i.e., DataDog).

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

About the Position: 

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability.  As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up. 

This role is remote in Germany.  

What you’ll be doing: 

• Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring). 
• Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control) 
• Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services. 
• Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications. 
• Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes. 
• Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform. 
• Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints). 
• Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.
• Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits. 
• Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture. 

Qualifications: 

• Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment. 
• Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture. 
• Strong experience with CI/CD tools and practices, ideally GitHub Actions. 
• Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash). 
• Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes). 
• Solid understanding of networking, security best practices, and system performance monitoring. 
• Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging. 
• Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services. 

About Bluefish: 

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.  

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.  

Why Bluefish & Our Values: 

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI  
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry  
• Join an experienced high-performing team where you will have immediate ownership and impact  
• Experience a true meritocracy with significant career growth upside as the business scales  

Our Values: 

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment. 
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. 
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes. 
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. 
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. 
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. 

Team

As an Enterprise IT Services Engineer you will join an international team of IT professionals that supports the growth and internal IT operations of Raisin globally. The main task of the team is to manage and configure the applications and services that support the internal IT operations and the company’s goals, compliance, security and growth in a sustainable way. 
The team manages core IT services, such as Google Workspace, Jamf, InTune, Automox, Okta, Meraki, Palo Alto Prisma etc. and enables the IT operations on that aspect to our employees world wide.

Your Responsibilities

• IT Services operations
  
  • Configuration and administration of the enterprise IT services and applications.
  • Structured change management for any change requests.
  • Integration between the enterprise IT services and other applications/services in the organization.
• Secure IT operations
  • Secure and fast IT offboardings
  • Devices are managed, controlled, updated and secure
  • Support InfoSec requests and implementations
• Support other functions by means of integrations and automations
  
  • Integrate services used by different teams to ease access and information sharing
  • Automate internal team processes through scripts
  • Leverage AI to optimise / automate
  • Proactively improve shared enterprise IT services to support other teams' needs.
• Productive enterprise IT operations
  
  • Improve employees’ on/off-boarding and support processes
  • Automate IT processes through integrations and scripts

Your Profile

• 3-6 Year experience in IT administration in SaaS or hybrid environments
• Good knowledge in configuration and change management of multiple applications
• Deep experience with:
  
  • Programming, eg. Python, PowerShell, Bash, Google Apps Script
  • Computer networks, network administration and network installation (experience with Meraki and/or Palo Alto Prisma is a big plus) 
  • IT SaaS services like Jamf, InTune, AzureAD, Google Workspace, Okta
  • AWS, IaC, Terraform, GitLab
• Excellent communication skills.
• Previous work experience in a rapid growing Enterprise B2B SaaS environment is a plus
• Excellent knowledge of technical management, information analysis and of computer hardware/software systems
• Strong creative and analytical thinking
• Bachelor’s degree (or equivalent) in information technology or computer science

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Location: Come and join us in Hamburg!

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.
Be ready to work in a multinational, diverse, highly motivated and collaborative marketing team who strives for excellence and likes to have fun. Are you ready for your next ride?

Join us as a Junior Cloud Infrastructure Engineer to build and maintain the resilient cloud infrastructure that keeps our platform running at scale. You will contribute to the reliability, performance and security of our systems while growing your skills across a modern, cloud-native stack.

Be ready to join a multinational, diverse, highly motivated and collaborative team that is passionate about automation, engineering excellence, and empowering every developer in the organization  to do their best work.

YOUR DAILY ADVENTURES WILL INCLUDE:

• Managing and maintaining cloud-based infrastructure, CI/CD pipelines, and monitoring and logging stacks
• Designing architectures and standards for large-scale distributed systems
• Performing service capacity planning, cost analysis, and system performance tuning
• Planning and executing migrations of key internal services
• Automating and simplifying operational toil through scripting and tooling
• Supporting and coaching fellow engineers on infrastructure topics, best practices, and platform developments

TO BE SUCCESSFUL IN THIS ROLE:

• You have foundational experience with a cloud provider, ideally AWS (EC2, ELB, RDS, S3, IAM, Systems Manager)
• You are comfortable working with container technologies such as Docker, Kubernetes, Amazon ECS or EKS
• You have hands-on experience with Infrastructure as Code tools like Terraform, Packer or Ansible
• You can write scripts in Bash or Python to solve operational problems
• You have a solid understanding of Unix/Linux systems and networking fundamentals (routing, VPNs, IPv4/IPv6)
• You are familiar with CI/CD pipelines and version control systems like Git
• You take ownership of your work and drive tasks forward independently

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT FREENOW:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Your Role 

You will join our EXP Squad, building the customer-facing APIs and backend systems that power how enterprise customers manage and automate their IoT connectivity. These are production systems that directly impact adoption, scalability, and reliability. 

As a Senior Software Engineer, you will operate at the intersection of product thinking and technical excellence. You will not just implement tickets, you will own features end to end. From early discovery and architectural design to rollout and iteration, you will shape scalable, secure, and extensible systems. 

Our core stack includes TypeScript, Node.js, and NestJS, running on AWS with Infrastructure as Code.

Your Impact

• Design and deliver scalable, customer-facing backend capabilities from architecture to production.
• Drive API and system design decisions with long-term scalability, security, and maintainability in mind.
• Collaborate closely with Product, Design, and other engineering teams to translate complex requirements into clean technical solutions.
• Improve reliability, observability, testing practices, and architectural standards within your domain.
• Contribute to mentoring, hiring, and raising the engineering bar within the team. 

Your Skills

• Strong experience building scalable backend systems with TypeScript and Node.js, ideally using NestJS.
• Proven track record designing and evolving REST APIs in production environments.
• Solid experience with AWS and Infrastructure as Code, especially Terraform.
• Hands-on experience with data modeling and performance optimization in SQL or NoSQL databases.
• Demonstrated ability to own features end to end and make sound architectural trade-offs. 

Willst Du, dass Deine Arbeit eine echte Bedeutung & spürbare Auswirkung für uns als Gesellschaft hat? Hast Du Lust mit einem großartigen Team eine sichere, digitale Zukunft aufzubauen?

„Zusammen sind wir mehr als die Summe von Einzelpersonen: Im Team gelingt es uns seit Jahren erfolgreich, unseren Kunden im Öffentlichen Dienst individuell abgestimmte Lösungen anzubieten und ein verlässlicher Partner zu sein. Darauf sind wir stolz! Das Wissen unserer Mitarbeitenden ist dabei unser höchstes Gut. Vielseitige Weiterbildungsmöglichkeiten gehören für uns daher selbstverständlich zum beruflichen Alltag.“ Ralf Wecke, Director Market Unit Public

Du fühlst Dich angesprochen? Unser Team wächst stetig und wir suchen Dich als OpenShift Consultant (m/w/d) an einem unserer Standorte oder Remote, um unsere Kunden im Öffentlichen Sektor gemeinsam bestmöglich zu beraten und zu unterstützen.

WAS DU BEI UNS MACHST

• Aufbau und Regelbetrieb von OpenShift-Clustern, einschließlich Updates und Erweiterungen, sowohl in der On-Premise Infrastruktur als auch in der Cloud
• Bereitstellung von Container-Storage und Entwicklung von Backup-/Restore-Verfahren
• Verwaltung des Cluster-Networkings (Ingress, Egress, Network Policies, PKI) sowie Umsetzung von Sicherheitsstandards nach NIST und BSI-Grundschutz
• Einsatz von Infrastructure-as-Code (z.B. Ansible, Terraform) sowie Arbeiten mit DevOps-Technologien (ArgoCD, Helm, Kustomize, CI/CD Pipelines)
• Unterstützung von Entwickler- und Betriebsteams bei der Plattform-Nutzung sowie Coaching interner Teams

WIE DU UNS BEGEISTERST

• Fundierte Kenntnisse in OpenShift mit Spezialisierung in Bereichen wie Cluster-Aufbau, Wartung und Skalierung
• Gute Kenntnisse in Virtualisierungstechnologien (z.B. VMware), Observability, Logging und Image-Registries
• Erfahrung mit RBAC, Active Directory oder LDAP-Integration
• Sicherer Umgang mit Linux-Systemen und gängigen Automatisierungstools
• Sehr gute Deutschkenntnisse in Wort und Schrift

FEEL GOOD KULTUR @SITSGROUP

• Wertschätzung: Eine offen-herzliche, respektvolle und wertschätzende Kommunikationskultur steht bei uns an erster Stelle.
• Teamspirit: Es erwarten Dich spannende und vielseitige Aufgaben gepaart mit einem tollen und unterstützenden Team um Dich herum. Wir fördern nicht nur eine gesunde, sondern auch kollegiale Teamstruktur.
• Onboarding & Einarbeitung: Wir legen großen Wert auf ein strukturiertes Onboarding und eine intensive Einarbeitung. Wir möchten, dass Du bei uns gut ankommst!
• Work-Life-Blending: Wir bieten Dir die Option auf mobiles Arbeiten und flexible Arbeitszeitmodelle mit Fokus auf eine gesunde Work-Life-Balance.
• Perspektiven: Du erhältst vielfältige Freiräume für kreatives Arbeiten, persönliche Entwicklungsoptionen und interessante Weiterbildungsmöglichkeiten – auch im Team.
• Corporate Benefits: Auf Dich warten interessante und zahlreiche Mitarbeiterkonditionen.
• Hire a Friend!: Empfehle Deinen Wunschkollegen! Unser lukratives Mitarbeiterempfehlungsprogramm liegt uns besonders am Herzen und macht sich auch für Dich bezahlt!
• Modern Workplace: Du erhältst von uns eine moderne IT-Ausstattung (bspw. Firmenlaptop, Headsets, Zweitbildschirm, Smartphone etc.).
• Großartige Unternehmenskultur: Wir pflegen eine offene Du-Kultur und feiern legendäre größere und kleinere Teamevents!

ÜBERZEUGT? SO GEHT’S WEITER

Wir freuen uns über Deinen aussagekräftigen CV, den Du über das untenstehende Formular hochladen kannst. Ein Anschreiben darfst Du gerne weglassen.

Solltest Du uns noch weitere Dokumente zur Verfügung stellen wollen, kannst Du sie in diesem Feld einfügen.

Wir freuen uns sehr Dich kennenzulernen!

DU WILLST NOCH MEHR ÜBER UNS WISSEN?

SITS Group - Sicherheit braucht Partner: Als führende Unternehmensgruppe für IT Security stehen wir für eine ganzheitliche Sicherheit. Mit über 700 Mitarbeitenden vereint die SITS Group Erfahrung, Kompetenz, Ressourcen und Services hochkarätiger IT Security-Provider zu einem umfassenden Ganzen. Für unsere Kunden bieten wir mithilfe innovativer Lösungen und Technologien Gesamtkonzepte zur IT Security, die auf den Aspekten Schützen, Erkennen und Abwehren beruhen. Dazu zählen der Einsatz maßgeschneiderter Strategien, die Sensibilisierung der Mitarbeitenden sowie weitreichende Servicepakete. Sämtliche Prozesse in Unternehmen werden immer stärker digital vernetzt. Dank aufeinander abgestimmter Maßnahmen und einem mehrschichtigen Schutzsystem sind unsere Kunden für die Zukunft gewappnet.

Hilf uns die IT-Sicherheit unserer Kunden zu schützen und werde Teil unserer großartigen Vision mit einem einzigartigen Teamgeist.

KONTAKT

Bei Fragen kannst Du Dich gerne per Email an ▶ Abdullah Kohistani (Head of Talent Acquisition) wenden.

Willst Du, dass Deine Arbeit eine echte Bedeutung & spürbare Auswirkung für uns als Gesellschaft hat? Hast Du Lust mit einem großartigen Team eine sichere, digitale Zukunft aufzubauen?

„Zusammen sind wir mehr als die Summe von Einzelpersonen: Im Team gelingt es uns seit Jahren erfolgreich, unseren Kunden im Öffentlichen Dienst individuell abgestimmte Lösungen anzubieten und ein verlässlicher Partner zu sein. Darauf sind wir stolz! Das Wissen unserer Mitarbeitenden ist dabei unser höchstes Gut. Vielseitige Weiterbildungsmöglichkeiten gehören für uns daher selbstverständlich zum beruflichen Alltag.“ Ralf Wecke, Director Market Unit Public

Du fühlst Dich angesprochen? Unser Team wächst stetig und wir suchen Dich als OpenShift Consultant (m/w/d) an einem unserer Standorte oder Remote, um unsere Kunden im Öffentlichen Sektor gemeinsam bestmöglich zu beraten und zu unterstützen.

WAS DU BEI UNS MACHST

• Aufbau und Regelbetrieb von OpenShift-Clustern, einschließlich Updates und Erweiterungen, sowohl in der On-Premise Infrastruktur als auch in der Cloud
• Bereitstellung von Container-Storage und Entwicklung von Backup-/Restore-Verfahren
• Verwaltung des Cluster-Networkings (Ingress, Egress, Network Policies, PKI) sowie Umsetzung von Sicherheitsstandards nach NIST und BSI-Grundschutz
• Einsatz von Infrastructure-as-Code (z.B. Ansible, Terraform) sowie Arbeiten mit DevOps-Technologien (ArgoCD, Helm, Kustomize, CI/CD Pipelines)
• Unterstützung von Entwickler- und Betriebsteams bei der Plattform-Nutzung sowie Coaching interner Teams

WIE DU UNS BEGEISTERST

• Fundierte Kenntnisse in OpenShift mit Spezialisierung in Bereichen wie Cluster-Aufbau, Wartung und Skalierung
• Gute Kenntnisse in Virtualisierungstechnologien (z.B. VMware), Observability, Logging und Image-Registries
• Erfahrung mit RBAC, Active Directory oder LDAP-Integration
• Sicherer Umgang mit Linux-Systemen und gängigen Automatisierungstools
• Sehr gute Deutschkenntnisse in Wort und Schrift

FEEL GOOD KULTUR @SITSGROUP

• Wertschätzung: Eine offen-herzliche, respektvolle und wertschätzende Kommunikationskultur steht bei uns an erster Stelle.
• Teamspirit: Es erwarten Dich spannende und vielseitige Aufgaben gepaart mit einem tollen und unterstützenden Team um Dich herum. Wir fördern nicht nur eine gesunde, sondern auch kollegiale Teamstruktur.
• Onboarding & Einarbeitung: Wir legen großen Wert auf ein strukturiertes Onboarding und eine intensive Einarbeitung. Wir möchten, dass Du bei uns gut ankommst!
• Work-Life-Blending: Wir bieten Dir die Option auf mobiles Arbeiten und flexible Arbeitszeitmodelle mit Fokus auf eine gesunde Work-Life-Balance.
• Perspektiven: Du erhältst vielfältige Freiräume für kreatives Arbeiten, persönliche Entwicklungsoptionen und interessante Weiterbildungsmöglichkeiten – auch im Team.
• Corporate Benefits: Auf Dich warten interessante und zahlreiche Mitarbeiterkonditionen.
• Hire a Friend!: Empfehle Deinen Wunschkollegen! Unser lukratives Mitarbeiterempfehlungsprogramm liegt uns besonders am Herzen und macht sich auch für Dich bezahlt!
• Modern Workplace: Du erhältst von uns eine moderne IT-Ausstattung (bspw. Firmenlaptop, Headsets, Zweitbildschirm, Smartphone etc.).
• Großartige Unternehmenskultur: Wir pflegen eine offene Du-Kultur und feiern legendäre größere und kleinere Teamevents!

ÜBERZEUGT? SO GEHT’S WEITER

Wir freuen uns über Deinen aussagekräftigen CV, den Du über das untenstehende Formular hochladen kannst. Ein Anschreiben darfst Du gerne weglassen.

Solltest Du uns noch weitere Dokumente zur Verfügung stellen wollen, kannst Du sie in diesem Feld einfügen.

Wir freuen uns sehr Dich kennenzulernen!

DU WILLST NOCH MEHR ÜBER UNS WISSEN?

SITS Group - Sicherheit braucht Partner: Als führende Unternehmensgruppe für IT Security stehen wir für eine ganzheitliche Sicherheit. Mit über 700 Mitarbeitenden vereint die SITS Group Erfahrung, Kompetenz, Ressourcen und Services hochkarätiger IT Security-Provider zu einem umfassenden Ganzen. Für unsere Kunden bieten wir mithilfe innovativer Lösungen und Technologien Gesamtkonzepte zur IT Security, die auf den Aspekten Schützen, Erkennen und Abwehren beruhen. Dazu zählen der Einsatz maßgeschneiderter Strategien, die Sensibilisierung der Mitarbeitenden sowie weitreichende Servicepakete. Sämtliche Prozesse in Unternehmen werden immer stärker digital vernetzt. Dank aufeinander abgestimmter Maßnahmen und einem mehrschichtigen Schutzsystem sind unsere Kunden für die Zukunft gewappnet.

Hilf uns die IT-Sicherheit unserer Kunden zu schützen und werde Teil unserer großartigen Vision mit einem einzigartigen Teamgeist.

KONTAKT

Bei Fragen kannst Du Dich gerne per Email an ▶ Abdullah Kohistani (Head of Talent Acquisition) wenden.

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain or the Netherlands.

About the Team

About the Role

This is a 12-month fixed term contract. We're at an exciting but demanding point in our data platform journey, and we need extra capacity to help us move faster. There's real, meaningful work to do here — and plenty of scope to make your mark.

We're looking for a Data Platform Engineer to contribute to the design, development, and maintenance of our core data infrastructure. You'll work on pipelines, platform tooling, and data quality, helping us scale reliably and build good engineering habits along the way.

You'll report to the Senior Data Platform Manager and collaborate closely with Analytics, Data Science, and Platform Engineering. This is a hands-on role — you'll spend most of your time building, fixing, and improving, with growing opportunities to shape technical decisions as you settle in.

What you’ll do

Platform development & maintenance

• Build and maintain scalable data pipelines for ingestion, transformation, and delivery across the organization
• Contribute to the design and improvement of our data warehouse and lakehouse architecture
• Help consolidate and improve fragmented tooling, replacing manual processes with automated, repeatable solutions
• Support data quality, lineage tracking, and observability across our pipelines
• Work within our CI/CD workflows and contribute to infrastructure-as-code using tools like Terraform

Collaboration & documentation

• Partner with Analytics Engineering, Data Science, and Platform Engineering to understand data needs and deliver reliable platform capabilities
• Document data workflows, ownership guidelines, and engineering decisions to improve team clarity
• Contribute to the development of shared templates, standards, and best practices for pipeline development

Growth & learning

• Deepen your understanding of streaming architectures, data governance, and modern platform patterns
• Work alongside experienced engineers and take on increasing ownership of platform components over time

What you bring

• Solid experience as a data or software engineer working with data pipelines, warehousing, or platform infrastructure
• Hands-on experience with tools like Python, SQL, Terraform, and CI/CD pipelines
• Familiarity with cloud-native data infrastructure and batch or streaming data processing
• A collaborative mindset and the ability to communicate clearly across technical teams
• Comfort working in ambiguous environments where not everything is defined yet

Extra awesome

• Experience with Kafka or similar streaming technologies
• Exposure to data governance frameworks or data quality tooling
• Background in a B2B SaaS or product-led company
• Familiarity with reverse-ETL, data contracts, or event-driven architectures

How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

• Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
• Support and maintain existing configuration management and Infrastructure as Code setups
• Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
• Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
• Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
• Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
• Collaborate with senior engineers to improve automation, monitoring, and operational practices
• Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

• Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
• Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
• Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
• Basic scripting or development experience (e.g., Python)
• Clear communication skills and a collaborative, respectful approach to working with teammates
• Willingness to learn, ask questions, and grow technical depth over time

Nice to have

• Exposure to Infrastructure as Code tools such as Terraform
• Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
• Familiarity with Kubernetes or container-based environments
• Experience with monitoring tools such as Grafana or similar platforms
• Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
• Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1