Role

We are looking for a Staff Data Center Operations Engineer to join our Network Infrastructure department on-site near Schipol Airport, Amsterdam, reporting to the Datacenter Deployment Manager.

In this position, you will play a critical role in expanding Zscaler’s global cloud by utilizing automation to provision hardware that will be deployed to our data centers.

What you’ll do (Role Expectations)

• Provision new hardware and network devices in a staging environment that will be deployed globally to expand and supplement the Zscaler network
• Troubleshoot issues within our build environment and repair or replace server and network components and infrastructure
• Collaborate with the maintenance, network, install and platform engineering teams to execute and validate build activities and assist in optimizing processes

Who You Are (Success Profile)

• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Experience working in Data Center or hardware build and development environments
• Deep understanding of various types of servers, network devices and configurations, and physical connectivity
• Proficiency with the LINUX/UNIX command line, BIOS, and OOB management tools such as ILO, SAA, iDRAC, or IPMI

What Will Make You Stand Out (Preferred Qualifications)

• Basic scripting capabilities in BASH or Python
• Familiarity with build automation technologies such as Ansible or PXE boot
• Experience with Jira, Confluence, or other ticketing and documentation tools

#LI-MM8

#LI-ONSITE

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

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

Nebius is searching for a Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

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.

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

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

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.

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Hybrid working two days a week in the Amsterdam office.

Responsibilities

• Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
• Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
• Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
• Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
• Perform architecture and research work for decentralized AI workloads
• Work on the core, open-source Together AI platform
• Create services, tools, and developer documentation
• Create testing frameworks for robustness and fault-tolerance

To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. 

Requirements

• 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
• 5+ years experience writing high-performance, well-tested, production quality code
• Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
• Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
• Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
• Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
• Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
• Experience with Cluster API or similar a big plus
• Experience working on high-performance compute, networking, and/or storage a big plus
• Experience virtualizing GPUs and/or Infiniband a big plus
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
• Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
• Experience building IaaS or PaaS systems at scale a plus
• Experience with DPUs/SmartNICs a plus
• GPU programming, NCCL, CUDA knowledge a plus 

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

As a AI Infrastructure Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.

You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.

Requirements

• 7+ years of professional SRE or related experience
• Bachelor's degree in Computer Science or a related field or equivalent work experience
• Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
• Proficiency in programming/scripting languages
• Direct experience in monitoring and observability practices
• Advanced knowledge of cloud services
• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts

Responsibilities

• Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
• Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
• Build monitoring systems to ensure the highest quality service for our customers
• Design and implement operational processes (such as deployments and upgrades)
• Debug production issues across all services and levels of the stack
• Identify improvements for the product architecture from the reliability, performance and availability perspectives 
• Plan the growth of Together AI’s infrastructure

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Lead a team of Site Reliability Engineer (SRE) at Together based out of our office in Amsterdam, you  and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.

You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.

Responsibilities

• Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
• Manage, develop and coach the SRE Team.
• Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
• Build monitoring systems to ensure the highest quality service for our customers
• Design and implement operational processes (such as deployments and upgrades)
• Debug production issues across all services and levels of the stack
• Identify improvements for the product architecture from the reliability, performance and availability perspectives 
• Plan the growth of Together AI’s infrastructure

Requirements

• 7+ years of professional SRE or related experience
• Ideally 2 years as a Lead SRE
• Bachelor's degree in Computer Science or a related field or equivalent work experience
• Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
• Proficiency in programming/scripting languages
• Direct experience in monitoring and observability practices
• Advanced knowledge of cloud services
• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.

You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.

Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
• Analyze data to diagnose and identify root causes to network issues to minimize downtime
• Evaluate and recommend network technologies, hardware, and software solutions.

• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability. 
• Manage relationships with external vendors and partners to test and verify hardware and software selections.

• Develop, and deploy systems and tools to keep all networks running reliably and efficiently
• Establish and implement industry best practices and contribute to the design of new scalable network solutions
• Ensure compliance with IT governance standards and best practices.
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
• Experience designing and supporting multi-tenant networks
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
• Experience working with cloud networks such as AWS, GCP, and Azure.
• Solid experience working in and troubleshooting within a Linux environment.
• Must have either RoCE or Infiniband real work experience.

Preferred

• Experience with Docker, Kubernetes, or Slurm a plus 
• Understanding of AI training workloads and the demands they exert on networks a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

In this role, you will design and deliver multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll architect high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as WekaFS, Ceph, and Lustre, and drive aggressive cost optimization-routinely achieving 30-50% savings through intelligent tiering, lifecycle policies, capacity forecasting, and right-sizing. 

You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. 

Hybrid Working 2 days a week at our offices in Amsterdam

Responsibilities

• Design multi-petabyte AI/ML storage systems; integrate WekaFS, Ceph, etc.; lead capacity planning and cost optimization (30-50% savings via tiering, lifecycle policies, right-sizing).
• Design/optimize RDMA, InfiniBand, 400GbE networks; tune for max throughput/min latency; implement NVMe-oF/iSCSI; troubleshoot bottlenecks; optimize TCP/IP for storage.
• Build Kubernetes storage operators/controllers; enable automated provisioning, self-service abstractions, multi-tenant isolation, quotas; create reusable Helm/Terraform patterns.
• Deliver 10-50 GB/s per GPU node; optimize caching (weights/datasets/checkpoints), parallel filesystems, and data paths; troubleshoot with profiling tools; scale to thousands of nodes.
• Build multi-tier caches (local NVMe, distributed, object); optimize data locality and model-weight distribution; implement smart prefetching/eviction.
• Implement monitoring, alerting, SLOs; design DR/backups with runbooks; run chaos engineering; ensure 99.9%+ uptime via proactive/automated remediation.
• Partner with ML/SRE teams; mentor on storage best practices; contribute to open-source; write docs, postmortems, and public learnings.

Requirements

• 8+ years in storage engineering with 3+ years managing distributed storage at multi-petabyte scale

• Proven track record deploying and operating high-performance storage for GPU/HPC clusters

• Deep Kubernetes and cloud-native storage experience in production environments

• Strong coding skills in Go and Python with demonstrated ability to build production-grade tools

• BS/MS in Computer Science, Engineering, or equivalent practical experience

• History of technical leadership: designing systems that significantly improved performance (>3x), reliability (99.9%+ uptime), or cost efficiency

• Distributed Storage Systems: Deep expertise in WekaFS, Lustre, GPFS, BeeGFS, or similar parallel filesystems at multi-petabyte scale

• Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management

• Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers

• Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (100+ GB/s aggregate cluster throughput)

• Programming: Go and Python for automation, operators, and tooling

• Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD)

• Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations

• Observability: Prometheus, Grafana, Thanos architecture and operations

Nice to Have Skills

• GPU Direct Storage (GDS), NVMe-oF, storage networking (100GbE/400GbE)

• ML/AI storage patterns (model weights, checkpointing, dataset caching)

• Kubernetes operator development (controller-runtime, kubebuilder)

• Storage snapshots, cloning, and thin provisioning

• Backup and disaster recovery (Velero, Restic, cross-region replication)

• Storage encryption (at-rest and in-transit), security and compliance
• Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace)

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the role and team

At Catawiki, we’re building an internal developer platform that enables our engineering teams to move fast without compromising on reliability or security.

As a Senior Software Engineer in our Developer Experience (DevEx) Platform team, you will design and build the tooling, systems, and abstractions that power how engineers develop, deploy, and operate services at scale.

This is not a traditional DevOps or SRE role,  it’s a software engineering role focused on improving developer productivity and platform capabilities.

You’ll work at the intersection of software engineering and infrastructure, helping product teams ship faster by removing friction and building scalable internal platforms.

What You’ll Do 

Your work as a Senior Platfrom Engineer (DevEX)  will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

Our Linux engineering team ensures that our critical trading servers and infrastructure operate efficiently and reliably across the globe. In a highly customized, bare-metal environment powered by proprietary tools and technology, you’ll help design and implement cutting-edge solutions that enable scalable technological evolution while maintaining peak performance together with speed and precision.

What you'll do

• Designing, deploying, and managing the lifecycle of a large-scale fleet of Linux servers across multiple data centers, ensuring reliability, performance, and scalability.
• Architecting, building, and maintaining systems that drive efficiency and support Optiver’s evolving technology stack.
• Ensuring system reliability by swiftly resolving incidents and optimizing performance to meet trading demands, even during extreme market conditions.
• Researching and implementing new technologies or building enhanced in-house solutions to improve performance and system stability.
• Bridging the gap between hardware and software to ensure seamless interaction and integration.
• Optimizing system and kernel performance, including CPU affinity, NUMA balancing, HugePages, IRQ tuning, and other low-level configurations.
• Developing and maintaining automation tools using Python to enhance system efficiency.
• Monitoring system health and performance using observability tools such as Prometheus, Grafana, and Alertmanager.
• Managing system provisioning and infrastructure deployment using Infrastructure-as-Code tools like Ansible and/or Terraform.
• Joining our rotating support and on-call roster to facilitate global trading operations.

Who you are

• Experience in Linux engineering, debugging, administration, and OS system provisioning

• A solid understanding of networking fundamentals, including TCP/IP, DNS, TCP/UDP/multicast, and packet analysis.

• Hands-on experience with system/network tools such as EBPF, tcpdump, strace, ntp/ptp, lsof, nc.

• Experience with performance tuning at both the kernel and hardware level, including CPU pinning, cache optimizations, and BIOS/UEFI tuning.

• Experience with Linux security hardening techniques.

• Experience managing SAN storages.

• Familiarity with CI/CD pipelines, version control systems (Git), and PR-based workflows.

• Strong experience with monitoring and alerting tools like Elastic, Prometheus, Grafana, and Alert Manager.

• Proficiency in Python for automating operational tasks and system administration.

• Ability to manage large projects, work collaboratively in a team, and communicate effectively to drive technical improvements.

• Willingness to learn new technologies, navigate frequent change, and contribute to a high-performance engineering environment.

No prior trading or financial experience is needed – our onboarding program will kick-start your career at Optiver and support you in gaining all the relevant knowledge about our business.

Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get
You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
  
  

How to apply
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role
• We cannot accept applications via email
  
  

Diversity statement
Optiver is committed to diversity and inclusion.

Our Linux engineering team ensures that our critical trading servers and infrastructure operate efficiently and reliably across the globe. In a highly customized, bare-metal environment powered by proprietary tools and technology, you’ll help design and implement cutting-edge solutions that enable scalable technological evolution while maintaining peak performance together with speed and precision.

What you'll do

• Designing, deploying, and managing the lifecycle of a large-scale fleet of Linux servers across multiple data centers, ensuring reliability, performance, and scalability.
• Architecting, building, and maintaining systems that drive efficiency and support Optiver’s evolving technology stack.
• Ensuring system reliability by swiftly resolving incidents and optimizing performance to meet trading demands, even during extreme market conditions.
• Researching and implementing new technologies or building enhanced in-house solutions to improve performance and system stability.
• Bridging the gap between hardware and software to ensure seamless interaction and integration.
• Optimizing system and kernel performance, including CPU affinity, NUMA balancing, HugePages, IRQ tuning, and other low-level configurations.
• Developing and maintaining automation tools using Python to enhance system efficiency.
• Monitoring system health and performance using observability tools such as Prometheus, Grafana, and Alertmanager.
• Managing system provisioning and infrastructure deployment using Infrastructure-as-Code tools like Ansible and/or Terraform.
• Joining our rotating support and on-call roster to facilitate global trading operations.

Who you are

• Experience in Linux engineering, debugging, administration, and OS system provisioning

• A solid understanding of networking fundamentals, including TCP/IP, DNS, TCP/UDP/multicast, and packet analysis.

• Hands-on experience with system/network tools such as EBPF, tcpdump, strace, ntp/ptp, lsof, nc.

• Experience with performance tuning at both the kernel and hardware level, including CPU pinning, cache optimizations, and BIOS/UEFI tuning.

• Experience with Linux security hardening techniques.

• Experience managing SAN storages.

• Familiarity with CI/CD pipelines, version control systems (Git), and PR-based workflows.

• Strong experience with monitoring and alerting tools like Elastic, Prometheus, Grafana, and Alert Manager.

• Proficiency in Python for automating operational tasks and system administration.

• Ability to manage large projects, work collaboratively in a team, and communicate effectively to drive technical improvements.

• Willingness to learn new technologies, navigate frequent change, and contribute to a high-performance engineering environment.

No prior trading or financial experience is needed – our onboarding program will kick-start your career at Optiver and support you in gaining all the relevant knowledge about our business.

Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get
You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
  
  

How to apply
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role
• We cannot accept applications via email
  
  

Diversity statement
Optiver is committed to diversity and inclusion.

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

We’re looking for a Senior Site Reliability Engineer who thrives at the crossroads of classic Linux and AWS infrastructure and modern Site Reliability Engineering. This is a high-impact, hybrid role designed for someone who can manage cloud resources, harden Kubernetes clusters, and shape a more reliable and developer-friendly platform.

We need you not just to maintain but to rethink and evolve our infrastructure, balancing hands-on operations with strategic improvements that future-proof our growing AI product landscape.

You’ll take over key responsibilities from our current Infra Lead who is transitioning to a software-focused role, giving you immediate ownership and space to shine.

WHY THE ROLE IS SPECIAL 💡

You won’t be a cog in a massive SRE org. You’ll be the bridge between Infrastructure and Engineering, shaping how we scale Kubernetes, how we approach platform reliability, and how developers ship fast without fear. You’ll get autonomy, ownership, and a smart, humble team excited to learn with you.

WHAT YOU’LL DO 🤖

• Maintain and harden AWS infrastructure (EC2, ALB/NLB, WAF, IAM, CloudWatch)
• Operate and evolve our EKS clusters powering Python-based AI services
• Migrate existing services to Kubernetes using Terraform and Helm
• Codify infrastructure with Terraform and manage host-level automation via Ansible
• Build and improve CI/CD pipelines with GitHub Actions
• Own observability efforts: Prometheus, Grafana, alerting, and on-call readiness
• Support OS-level patching, certs, WAF rules, and general infra hygiene
• Partner with engineers to guide best practices and drive platform reliability
• Create clean, maintainable infrastructure documentation and playbooks
• Occasionally support rare off-hours incidents (don’t worry, really rare)

TO SHINE IN THIS ROLE 💥

• 5+ years of experience managing Linux in production (Ubuntu, Amazon Linux)
• Strong experience with Kubernetes (ideally EKS), Helm, and Terraform
• Comfort with running and debugging Python workloads in containers
• Solid understanding of networking, IAM, and cloud security best practices
• Hands-on Nginx experience (Ingress and reverse proxy setups)
• Excellent communication skills; you can explain complex infra to devs clearly

NICE TO HAVE SKILLS 🛠️

• Strong Ansible skills beyond the basics
• PostgreSQL or Amazon RDS tuning and operations experience
• Deep understanding of observability tools (Prometheus, Grafana, Loki, etc.)
• Familiarity with PHP production environments
• Experience with TDD, CI/CD best practices, and agile development
• Any previous SRE-like exposure such as building resilience, automation, or incident tooling

WHAT WE OFFER 🤗
We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

What we offer 

• Interact with our clients on regular basis to drive their business towards impactful change.
• Seize opportunities at the client and at XYZ in our entrepreneurial environment.
• Become part of a fast growing international and diverse team.

Who we are

We are XYZ, We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients.

With our multidisciplinary teams, we create bold strategies and innovative solutions that are tailored to our client’s needs and help them capitalize on opportunities. Together we strive to bring long-lasting impact and celebrate collective victories.

At XYZ we share an entrepreneurial mindset, a compelling passion to create, and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. 

Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction in which the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.

Become part of the journey, become part of XYZ. Partners for impact.

What you will do  

• Responsible for the operation and further development of our multi-cloud container orchestration solution.
• Administer and manage our Linux systems.
• Work together with software developers and solution architects to plan, design, test, implement and maintain professional integration solutions in a multi-cloud environment.
• Develop concepts and methods for automation in a DevOps environment and ensure compliance with processes and documentation.
• Support with best practices for the scalability, reliability, and performance of our production systems.
• Work confidently in a team on escalations and solve critical problems that affect our highly available development, test and production systems.
• Developing and improving standards for security (via security as code) across a continuous delivery environment and cloud-based production deployments.
• Performance load/stress testing and performance tuning of all tiers including web server, application server, database.
• Evaluate and report on new tools and techniques for monitoring and securing an e-Commerce site.

What you’ll bring  

• 8-10 years of Experience in the DevOps field in the Retail & E-Commerce space.
• BE/ BTECH/ ME/ MCA- degree in Computer Science, Engineering.
• Good knowledge of Infrastructure as Code and configuration management, preferably with Terraform and Ansible.
• Good knowledge of scripting/programming and automation solutions.
• Good knowledge of IT operations and security monitoring as well as know-how in CI/CD tools.
• Experience with container technologies (Kubernetes) is an advantage.
• Strong knowledge in DevOps implementation & Practices.
• Strong knowledge in Azure/AWS/Google Cloud implementation.
• Strong knowledge on Linux operating system and proven ability to manage environments running on the same.
• Experience with software security, secure coding, or software assurance tools and techniques.
• Hands-on experience in any one of these tools & technology:
• GitHub/Bitbucket/Jenkins/Maven/Bamboo/JIRA etc.;
• Testing Tools like Selenium/Cucumber/JMeter etc.;
• Deployment (Chef/Puppet/Ansible);
• Infrastructure-as-a-code (IaaC) using Terraform/Cloud Formation Template/ ARM Template;
• Scripting knowledge in Bash/Python/PowerShell.
• Extensive experience in developing and automating deployment tools.
• Expertise in managing Cloud / VMWare resources and good exposure on Containerization using Docker, Kubernetes.
• Strong written and oral communication skills in English.
• Willingness to travel for business meetings, as required.

Good to Know  

• Exposure to Microservices, Database, API implementation is a plus.
• Certifications in AWS/ Azure/ Docker/ Kubernetes etc is a plus.