network engineer

VERDA

<div>Imagine a future where everyone has instant, low-cost access to intelligence. We&rsquo;re building a fully featured European AI cloud - with everything one needs to train, experiment with, and deploy AI models. In addition, our GPUs run on 100% renewable energy.
We&rsquo;re ambitious, curious, and gutsy doers. We practice a low hierarchy across the company and high morale in our teams. We&rsquo;ve already achieved a lot, yet we&rsquo;re only getting started. Now it&rsquo;s your chance to join the ride. We offer more than just the job - we offer a career-defining opportunity to be part of building something big!
Join Verda while it&rsquo;s still being built - not once it&rsquo;s finished.<h2 class="jobSectionHeader">
About the role</h2>
We are looking for a Principal DNS Infrastructure Engineer to completely own our DNS ecosystem. You will inherit a platform built on PowerDNS and take it to the next level of massive scale, resilience, and automation. In our &quot;move fast&quot; culture, your goal is to build an API-driven, bulletproof DNS architecture where zone provisioning, subdomain delegation, and record updates happen instantly and programmatically via code, removing all human bottlenecks.<h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Absolute Ownership of DNS Architecture: Shape, scale, and maintain our global PowerDNS authoritative and recursive infrastructure.</li><li>
Massive Scale Engineering: Leverage dnsdist for intelligent load balancing, query filtering, and denial-of-service mitigation to keep our DNS layer highly available under extreme loads.</li><li>
Automate Everything: Use SaltStack and Ansible to drive a strict GitOps model for DNS. Every zone, record type, and configuration change must be managed as code.</li><li>
Master Subdomain &amp; Multi-Tenancy Routing: Design clean, automated architectures for dynamic subdomain delegation and tenant isolation, ensuring cloud customers can programmatically spin up and tear down records safely.</li><li>
Architect Anycast DNS: Partner with our networking team to scale our DNS footprint globally using BGP Anycast, ensuring ultra-low latency and seamless failover across deployment regions.</li><li>
Collaborate &amp; Communicate: Act as the organization's resident DNS evangelist. Write crystal-clear internal documentation and runbooks, ensuring our core SRE and platform teams understand how to interface with your DNS pipelines without fear.</li></ul><h2 class="jobSectionHeader">
Your Key Requirements</h2><ul><li>
Deep PowerDNS Mastery: Proven experience architecting, tuning, and operating PowerDNS components (Authoritative, Recursor, and dnsdist) at massive scale.</li><li>
Expertise in DNS Mechanics: In-depth knowledge of DNS internals (TSIG, DNSSEC automation, EDNS, SOA timers, and query/response optimization).</li><li>
Scale &amp; Routing Fundamentals: Solid understanding of how DNS scales using database backends (MySQL/PostgreSQL) and how routing protocols like BGP/Anycast distribute query loads globally.</li><li>
Automation-First Mindset: 5+ years of experience managing infrastructure via configuration management (SaltStack or Ansible) and treating infrastructure strictly as code.</li><li>
Clear, Collaborative Communicator: The ability to explain complex DNS routing, delegation anomalies, or propagation delays to external teams and leadership with absolute clarity.</li></ul><h2 class="jobSectionHeader">
Nice-to-Haves</h2><ul><li>
Experience writing custom Lua scripts for advanced traffic management or security filtering inside dnsdist.</li><li>
Active contributor to the open-source PowerDNS community or related internet infrastructure working groups (IETF/DNSOP).</li><li>
Experience implementing modern privacy/security protocols at scale, such as DNS-over-TLS (DoT) or DNS-over-HTTPS (DoH).</li></ul><h2 class="jobSectionHeader">
Why Verda</h2><ul><li>
Cash + equity compensation along with various fringe benefits (e.g., healthcare, lunch, wellbeing, etc.).</li><li>
Profitable operations with rapid, sustained growth.</li><li>
31 nationalities, with 6 different ones on the management team.</li><li>
An opportunity to make a clear impact and work alongside world-class engineers, researchers, and partners across the global AI ecosystem.</li></ul><h2 class="jobSectionHeader">
Practicalities</h2><ul><li>
Work mode: Remote (EU)</li><li>
Employment type: Full-time, permanent</li><li>
Start date: As soon as possible</li></ul></div>

Senior DNS Infrastructure Engineer

ALMETRA

<div>We&rsquo;re looking for a hands-on engineer to own the deployment of our AI edge systems at customer sites. You&rsquo;ll assemble, configure, and install hardware cabinets, networking equipment, and camera systems &mdash; ensuring everything runs smoothly in real industrial environments.
Your Role<ul><li>
Prepare and install full edge setups &mdash; cameras, compute nodes, and networking components</li><li>
Configure devices, test connectivity, and verify data flow from edge to cloud</li><li>
Develop and use automation scripts for faster installation, calibration, and verification</li><li>
Troubleshoot and resolve on-site issues across hardware, network, and software layers</li><li>
Coordinate component sourcing and logistics with the operations team</li><li>
Ensure every installation meets reliability, safety, and performance standards</li></ul>
Your Profile<ul><li>
3+ years in industrial hardware installation, systems integration, or field engineering</li><li>
Strong practical experience with Linux, networking, and device configuration</li><li>
Familiarity with edge computing, camera systems, or IoT deployments</li><li>
Proficiency in Bash or Python for setup automation and diagnostics is a plus!</li><li>
Comfortable working independently on customer sites (domestic &amp; international travel)</li></ul>
Must have a valid driver's license to be able to transport equipment to client site and conduct installations
Expected to occasionally lift 30kg+
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;45K - &euro;58K</div>

Field Installation Engineer (AI Startup)

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

<div>Platform Engineer
We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure &mdash; with a focus on developer experience and the chance to get hands-on with AI systems.
What you'll do<ul><li>
Design and maintain cloud infrastructure on AWS using Terraform</li><li>
Own and improve CI/CD pipelines for fast, safe deployments</li><li>
Manage and scale Kubernetes clusters</li><li>
Improve developer experience &mdash; making it easy for teams to ship and debug</li><li>
Implement monitoring, logging and alerting for full observability</li><li>
Configure and optimise CDN infrastructure</li></ul>
You are<ul><li>
8-10 years of experience in DevOps, SRE or platform engineering roles</li><li>
Expertise in AWS</li><li>
Proficient with Terraform and infrastructure-as-code workflows</li><li>
Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar)</li><li>
Solid understanding of Kubernetes &mdash; deployment, networking, scaling and troubleshooting</li><li>
Strong sysadmin fundamentals &mdash; Linux, networking, storage and configuration management</li><li>
Comfortable working with relational databases (PostgreSQL, MySQL) and time series databases (TimescaleDB, Prometheus)</li><li>
A clear communicator who works well across engineering and data science teams</li><li>
Pragmatic and reliable &mdash; you know when to move fast and when to be careful</li></ul>
Nice to have<ul><li>
Experience supporting ML infrastructure &mdash; model deployment, GPU workloads or training pipelines</li><li>
Background in CDN configuration (CloudFront, Fastly, Cloudflare)</li><li>
Familiarity with streaming data or video processing systems</li><li>
Interest in MLOps and bridging the gap between ML research and production</li></ul>
Why this role matters
You'll keep our systems running smoothly and help the team ship with confidence. And if you're curious about ML, you'll get real exposure to production AI systems.
#LI-SP1 #LI-Hybrid
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;85K</div>

Platform Engineer (m/f/d) (AI Startup)

Sony Interactive Entertainment

<div>
 
 Why Sony Interactive Entertainment?
 
 
 
 Sony Interactive Entertainment isn&rsquo;t just the Best Place to Play &mdash; it&rsquo;s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we&rsquo;re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
 
 
 
 Site Reliability Engineer
 
 
 
 As a part of Sony Computer Entertainment, the Gaming, Developer &amp; Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.
 
 
 Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.
 
 
 We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.
 
 
 
 What you'll be doing:
 
 
 
 <ul>
 <li>
 Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
 </li>
 <li>
 Be involved in creating High Level Designs (HLDs) for new products and platforms
 </li>
 <li>
 Mentor junior SRE staff and enable them for success
 </li>
 <li>
 Lead incident response and post-mortem activities within your assigned service team
 </li>
 <li>
 Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
 </li>
 <li>
 Contribute to code to improve reliability
 </li>
 <li>
 Implement automation to reduce ongoing toil
 
 
 </li>
 </ul>
 
 What we're looking for:
 
 
 
 <ul>
 <li>
 Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
 </li>
 <li>
 Strong interpersonal, written and verbal communication skills.
 </li>
 <li>
 Available to be scheduled in on-call rotation.
 
 
 </li>
 </ul>
 
 Skills &amp; Knowledge:
 
 
 
 <ul>
 <li>
 Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
 </li>
 <li>
 Development experience in one or more of the following programming languages:
 </li>
 <li>
 Python (preferred)
 </li>
 <li>
 Bash, Go, Java, C++, or Rust
 </li>
 <li>
 In addition, experience with at least 3 of the following topics:
 </li>
 <li>
 Distributed data storage at scale (Hadoop, Ceph)
 </li>
 <li>
 NoSQL at scale (MongoDB, Redis, Cassandra)
 </li>
 <li>
 Data Aggregation technologies. (ElasticSearch, Kafka)
 </li>
 <li>
 Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
 </li>
 <li>
 Monitoring &amp; Alerting (Prometheus, Grafana), and Incident Management toolsets
 </li>
 <li>
 Kubernetes and/or AWS (deployment and management)
 </li>
 <li>
 Software Distribution (Package management and distribution at scale)
 </li>
 <li>
 Configuration Management (ansible, saltstack, puppet, chef)
 </li>
 <li>
 S/W Performance analysis and load testing (QA or SDET experience: a plus)
 
 
 </li>
 </ul>
 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
 
 
 Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
 
 
 
 Equal Opportunity Statement:
 
 
 
 
 Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
 
 
 
 
 We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
 
 
 
 
 Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
 
</div>

Site Reliability Engineer

<div>We&rsquo;re looking for a backend engineer who thrives in fast-moving environments and enjoys building robust systems end-to-end. You&rsquo;ll work across data pipelines, APIs and infrastructure, ensuring our platform runs efficiently and scales cleanly as we grow.
Your role<ul><li>
Develop and maintain backend features and APIs for our core platform</li><li>
Improve database performance, reliability and real-time data processing</li><li>
Debug, profile and optimise code to keep latency low and systems stable</li><li>
Collaborate with AI, frontend and product teams to integrate new capabilities</li><li>
Contribute to architectural decisions and shape the evolution of our backend stack</li></ul>
You are<ul><li>
5-7 years&rsquo; experience building production-grade backends (Python is a must; additional experience in Go, C++, or Java is valuable)</li><li>
Solid in SQL and data modelling (PostgreSQL or similar)</li><li>
Experienced with REST APIs and cloud environments (AWS preferred)</li><li>
Comfortable working independently and taking ownership of a problem</li><li>
Startup mindset &mdash; quick to ship, focused on quality, allergic to bureaucracy</li></ul>
Nice to have<ul><li>
Linux debugging and performance tuning</li><li>
Familiarity with orchestration (Kubernetes, Terraform, Ansible)</li><li>
Experience with data pipelines or analytical databases</li><li>
Interest in edge/cloud hybrid architectures</li></ul>
Why this role matters 
You&rsquo;ll help shape how data moves through our system &mdash; building fast, reliable infrastructure that powers every customer interaction.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;70K - &euro;90K</div>

Senior Backend Engineer (m/f/d)

<div>We&rsquo;re looking for a Research Engineer to push the limits of vision-language models for real-world video understanding. You&rsquo;ll work on applied, state-of-the-art multimodal models and turn them into production pipelines used by customers.<h3 class="jobSectionHeader">
Your role</h3><ul><li>
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition</li><li>
Build and maintain large-scale training and evaluation pipelines on GPU clusters</li><li>
Curate and augment video-text and action datasets, including synthetic labels and retrieval-based augmentation</li><li>
Develop robust benchmarks for video QA, instruction following and temporal understanding, and use them to drive iterative model improvements</li><li>
Cut and refactor model architectures for efficiency and deployability (compression, pruning, distillation)</li><li>
Deliver production-ready inference pipelines to product and customer teams, working closely with CV, platform and robotics engineers</li></ul><h3 class="jobSectionHeader">
You bring</h3><ul><li>
Completed PhD (or equivalent research track record) in computer vision, machine learning, robotics or a related field</li><li>
Strong background in video-centric deep learning: scene understanding, temporal / activity / action recognition, or video generation</li><li>
Experience training and adapting large vision or VLM models (e.g. InternVL, Qwen-VL, DeepSeek-VL, similar stacks)</li><li>
Proven work with multi-GPU training (PyTorch, distributed, mixed precision) and large-scale datasets</li><li>
Solid engineering habits: clean Python, reproducible experiments, reliable data and training pipelines</li><li>
Track record of moving research into usable systems (demos, internal tools, or productised features) in fast-moving teams</li></ul><h3 class="jobSectionHeader">
Nice to have</h3><ul><li>
Publications at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.) on video, multimodal learning or scene understanding</li><li>
Experience with 3D/4D scene representations, action generation or embodied / sense-plan-act style projects</li><li>
Inference optimisation: quantisation, TensorRT, model distillation, or deployment on constrained hardware</li><li>
Prior experience in a startup or applied research lab environment</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul></div>

VLM Research Engineer (m/f/d)

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