Location: Abu Dhabi, United Arab Emirates
Workplace: hybrid
About the role
We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models.
Key Responsibilities
Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams
Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows
Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data
Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need
Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication)
Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables
Skills, Knowledge & Expertise
4+ years in data engineering
Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync
Experience preparing training datasets for computer vision or autonomous-driving models.
Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent)
Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks
Strong Python and SQL; AWS or GCP, Docker, Kubernetes
Nice to have
Sensor data formats such as ROS2 bag, MCAP or point clouds
Parquet, Delta or Iceberg; Databricks
Argo Workflows or Airflow
OpenStreetMap and Overture Map
QGIS
BigQuery
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Mexico City, Mexico
Workplace: onsite
We're looking for a
Creator
.
You'll work across 360° campaigns, helping shape ideas from the first spark to the final execution. One day you might be crafting an integrated campaign. The next, writing radio scripts, developing activations, or finding the one line that makes people stop scrolling.
You'll brainstorm with the team, challenge ideas, build on them, and just as importantly, know when to disappear for an hour and come back with something no one else thought of.
Key Responsibilities
Proven experience as a
Copywriter in an advertising agency
(required).
A strong portfolio showcasing integrated campaigns across multiple channels.
Experience developing creative concepts from idea to execution.
Ability to write for a wide range of media, including digital, social, radio, OOH, film, activations, and experiential.
Award-winning work at recognized advertising festivals is a strong plus.
Skills, Knowledge & Expertise
Exceptional conceptual thinking and creative problem-solving.
Outstanding writing, editing, and storytelling skills.
Ability to adapt tone of voice across brands and audiences.
Strong presentation and communication skills.
Experience crafting integrated campaigns and day-to-day brand communications.
Excellent collaboration and brainstorming abilities.
Strong attention to detail without losing sight of the strategic objective.
Ability to manage multiple projects in a fast-paced environment.
Curiosity, initiative, and a constant desire to learn, experiment, and push ideas further.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Annapolis Junction, MD, United States
Job Title
Senior‑Level Python Developer (Python, C++)
Why IDS?
IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients.
Locations
Annapolis Junction, MD
Shifts Available
Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements.
Job Description
IDS is seeking a Senior‑Level Python Developer to support a new cybersecurity initiative. The developer will work closely with a small team and mission stakeholders to capture requirements, develop network protocol parsers, create fingerprints and signatures to identify anomalous network activity, and deploy analytics solutions across customer‑supported tools and environments.
Key Duties
• Collaborate with customers to overlay network datasets within an existing architecture using the ABYSS product
• Integrate parsers and signatures into ABYSS and develop tradecraft for front‑end sensors
• Develop parsing and processing of network protocols to populate customer data repositories
• Prototype and develop analytic workflows to automate profiling of network traffic and activity
• Develop detection and alerting capabilities based on anomalous network behavior and network changes
Requirements
• Bachelor’s degree in computer science with eight (8) years of relevant experience, or equivalent
• Proficiency in Python, C++, and Spark
• Experience with Jupyter Notebooks
• Experience using JIRA, Confluence, and Git/GitLab
• Knowledge of customer corporate tools and data repositories
• Active TS/SCI with Polygraph
Compensation
• Salary range: $155,000 – $175,000
• Benefits
seniorAnnapolis Junction, MD, United States
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
🧩 Требования: глубокие знания SQL и умение работать с планами запросов, опыт эксплуатации ClickHouse, Kafka и Kubernetes, владение Java, практический опыт создания DWH и Data Lake, опыт построения и развития высоконагруженных систем;
Location: Lisbon, Portugal
Joom
is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.
Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
We are looking for
Lead/Senior ML developers
to join our
teams:
Search team (Lead):
will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience
Order Experience team (Senior):
developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds
Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins
Requirements
Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries
Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code
Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production
Preferred
Experience in developing recommendation or search systems
Experience training neural network models
Experience working with various data sources: Spark, Cassandra, Mongo, Kafka
Knowledge of Go
We offer
Compensation package: base salary and performance-based bonuses
Office-first: flexible hours with a possibility to work remotely 52 days per year
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
Relocation Support: full assistance for a smooth relocation for the employees and their family
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
Before applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Location: European Union
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
leadLisbon, Portugal; Relocation Support: full assistance for a smooth relocation for the employees and their family
United States - Remote; Must be located in the Boston area
United States - Remote; Must be located in the North Central region of the US
Brazil - Remote; Must be located in the São Paulo area
Brazil - Remote; Must be located in the São Paulo area
United States - Remote; Must reside in the New York metro area
United States - Remote
United States - Remote; Must be located in the Greater Philadelphia area
seniorГеография найма не уточнена
seniorCyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden