Location: United Kingdom, Remote
Workplace: remote
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within the UK.
Your new role
As Senior Security Engineer, you will help Olo reduce identified risks, respond to adversarial attacks while maintaining the up-time of our systems, and implement the right strategic risk mitigation measures to safeguard the data of our clients and their customers while supporting innovation. You will also provide white glove service and support to internal and external stakeholders by addressing security questions and support issues as needed, and by mentoring other engineers in how to best provide support.
Additionally, you will help in the identification and prioritisation of future project initiatives based on risk, and execute on cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets through peering and informal training.
How you’ll make an impact
Lead improvements in detection and response capabilities, continuously optimising monitoring, alerting, and incident response processes.
Mentor junior and mid-level engineers, setting a high standard in security practices and offering guidance for professional development.
Participate actively in an on-call rotation, responding to escalated security incidents and coordinating effective resolutions.
Demonstrate excellence in white-glove service delivery, ensuring security incidents are managed thoroughly and with professionalism.
Define and collaborate on implementing leading security practices, ensuring strategies align with organisational security goals and industry standards.
Take ownership of security project execution, prioritising tasks and aligning initiatives with team and company objectives.
Use and optimise advanced security tools, including SIEMs and vulnerability scanners, to enhance detection, logging, and analysis capabilities.
Conduct regular and detailed vulnerability assessments, identifying gaps in security controls and implementing mitigation strategies.
Support compliance efforts, ensuring documentation, audits, and regulatory standards are met to maintain certifications and adherence to best practices.
Collaborate with cross-functional teams, including development and IT, to integrate security best practices within architectural frameworks.
Lead security awareness initiatives, educating technical teams on advanced security topics and secure coding practices.
Stay informed on emerging security threats and technologies, continuously evaluating and integrating relevant tools or methodologies.
Provide guidance for risk management processes, helping to establish and maintain effective risk identification and mitigation protocols.
Develop and document security processes and procedures, ensuring consistency and readiness for both routine and high-stress security incidents.
Support leadership with reporting by providing insights and data on incidents, vulnerabilities, project progress, and metrics to inform security decisions.
Lead automation and process optimisation efforts by developing scripts and tools to automate repetitive security tasks as well as to enhance detection and response capabilities through the use of automation and integration of security tools.
What will set you up for success
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent security experience).
5+ years of experience in security engineering and operations, including extensive experience in blue team operations, security architecture, DevOps, and general operations.
Deep knowledge of information technology, evolving threats, attack patterns, incident response, and cybersecurity standards.
Proven ability to develop and lead incident response, including remediation, mitigation, and regular status updates and reporting.
Skilled in security event evaluation, discerning legitimate security incidents from false positives, incident investigation, countermeasures, and impact monitoring.
Strong understanding of operating system, networking, and application hardening for Windows, macOS, and Linux, including virtualisation security.
Experience deploying, maintaining, and administering security technologies like IDS, DLP, FIM, firewalls, SIEM, MFA, vulnerability assessment tools, web proxies, and WAFs.
Experience with cloud providers and Infrastructure as Code (IaC) tools, such as Terraform, Ansible, or CloudFormation.
Proficiency in AWS security best practices.
Skills in automation, development, or scripting for enhanced security operations.
Advanced knowledge of Application Security, modern web protocols, and Web Application Firewalls.
Proficiency in email security protocols like SPF, DKIM, and DMARC.
About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com
Applicant Privacy Notice (United Kingdom)
О ПРОЕКТЕ
Ocean AI развивает сложные высоконагруженные продукты, интегрирующие блокчейн-технологии и искусственный интеллект. Мы ищем инженера для построения надежной платформенной основы, способной выдерживать специфические нагрузки Web3-нод и AI-моделей.
ОСНОВНЫЕ ЗАДАЧИ
— Развитие и оптимизация облачной инфраструктуры на базе Kubernetes.
— Проектирование и поддержка полных циклов CI/CD (от сборки до автоматических откатов).
— Обеспечение высокой доступности (HA), масштабирования и глубокой observability систем.
— Сопровождение специфической инфраструктуры: Web3 (ноды, RPC, индексеры) и AI (LLM, RAG).
— Внедрение и контроль стандартов безопасности (Secrets management, SAST/DAST).
ТРЕБОВАНИЯ К КАНДИДАТУ
— 6+ лет опыта в эксплуатации высоконагруженных систем.
— Глубокие знания Kubernetes, Helm и IaC (Terraform / Ansible).
— Опыт работы с современным CI/CD стеком (GitLab, GitHub Actions, ArgoCD).
— Владение инструментами Observability (Prometheus, Grafana, логирование и трассировка).
— Опыт администрирования PostgreSQL, Redis, Kafka и работы с облаками (AWS/GCP/Azure).
— Понимание сетевых протоколов (TCP/IP, DNS, TLS) и системного администрирования Linux.
ОБЯЗАТЕЛЬНЫЙ СПЕЦИФИЧЕСКИЙ ОПЫТ
— Web3: практическая работа с нодами, ключами и on/off-chain синхронизацией.
— AI: опыт вывода LLM/RAG в продакшен, оптимизация latency и стоимости ресурсов.
— Security: обеспечение безопасности цепочек поставок и управления секретами.
УСЛОВИЯ РАБОТЫ
— Полностью удаленный формат из любой точки мира.
— Гибкий подход к юридическому оформлению сотрудничества.
— Прямое влияние на архитектуру платформы в динамично растущей компании.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Engineering Lead - Orbit Determination
- Location: Espoo
- Department: Spacecraft Analysis, Orbit and Attitude Control / Engineering
- Reports to: VP of Engineering
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As an Engineering Lead - Orbit Determination, you’ll lead a small (4-10 people) multidisciplinary team responsible for delivering accurate and reliable orbit determination capabilities that underpin ICEYE’s satellite operations. Your work ensures timely and precise satellite position data, enabling mission-critical systems such as image acquisition, planning, ground station communications, and on-orbit collision avoidance.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Lead and develop a multidisciplinary team delivering orbit determination software and services
- Own delivery, prioritization, and roadmap alignment in collaboration with product and domain stakeholders
- Drive continuous improvement of orbit determination capabilities including accuracy, latency, and scalability
- Support team growth through mentoring, hiring, and effective workload distribution aligned with individual strengths
What we’re looking for
Must haves:
- Proven experience leading multidisciplinary teams delivering complex software systems
- Strong understanding of modern software engineering practices including deployment, observability, and release processes
- Experience with cloud and on-prem environments using technologies such as Docker and Kubernetes
- Ability to communicate effectively across deep technical domains and scalable software systems
- Interest in understanding high-level fundamentals of orbital dynamics to understand constraints they impose on the software system
Nice to haves:
- Experience working on systems with strong theoretical components such as flight dynamics, state estimation, or data science
- Understanding of orbital dynamics
- Track record of hiring and developing engineers across different career stages
Application Process
- Talent Attraction Screening (remote)
- Hiring Manager Interview (remote)
- Take-home technical task and panel interview (remote)
- System thinking workshop (on-site)
- Behavioural interview to assess cultural fit (on-site)
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at http://iceye.comiceye.com http://iceye.com.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will be responsible for the core architecture design and technical delivery of an enterprise-grade AI Native engineering platform, driving the deep integration of large language models, AI Agents, knowledge capabilities, and the software development lifecycle. The platform will support intelligent capabilities across requirement analysis, solution generation, coding collaboration, test automation, and environment orchestration.This role focuses on engineering-grade AI implementation in complex R&D scenarios. You are expected to turn model capabilities into reusable, scalable, and governable platform capabilities, and continuously drive the evolution of the engineering platform toward an AI Native architecture.
What You’ll Be Doing
Lead the
overall architecture design and core capability development
of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Drive the
implementation of AI Native capabilities in engineering workflows
, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment.
Build the
knowledge augmentation layer
for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities.
Establish the
runtime and governance framework
for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality.
What We Look For In You
Bachelor’s degree or above
, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
6+ years
of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in
Java / Python
, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of
LLM
and AI Agent architectures
, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with
LangChain and LangGraph
, and strong familiarity with mainstream AI coding tools or frameworks such as
Claude Code
, Codex,
Cursor
, and Copilot
.
Experience in designing or developing
RAG / GraphRAG / knowledge graph
solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of
DevOps
,
CI/CD
,
Kubernetes
, and cloud-native technologies
, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to
open-source projects
related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building
enterprise engineering platforms,
DevOps
platforms, or AI platforms
.
Familiarity with open-source Agent projects such as
openclaw, openhands/openharness, or Hermes
.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Mississauga, Ontario
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Job title: Senior Software Engineer
About the role:
You will join a high-impact team transforming healthcare through technology. Our platform
connects fragmented clinical systems to enable real-time care coordination across
thousands of healthcare facilities, serving millions of users. You will design and build
scalable platform services, leveraging modern AI-augmented engineering practices to
accelerate delivery, improve reliability, and enhance clinical and operational outcomes
What your day-to-day will look like:
• Build robust platform services supporting clinical operations
• Partner with product and clinical teams to understand and solve real workflow
challenges
• Drive architectural decisions for business platform services
• Own the reliability and performance of critical healthcare solutions
• Mentor team members on modern engineering practices
What qualifications we’re looking for:
Required Technical Experience
•Strong track record building and shipping production software in modern languages
(Java, Python, or similar)
• Deep understanding of cloud-native architecture and distributed systems design
patterns
• Expertise in design, optimization, and scaling for relational (SQL) database
systems, bonus points for NoSQL database systems
• Experience designing and implementing RESTful APIs and microservices
• Proficiency with test-driven development, automated testing, and maintaining high
code quality
• Hands-on experience with modern frontend frameworks, primarily React or Vue.js.
• Working knowledge of CI/CD pipelines and infrastructure-as-code practices
• Experience with production observability, monitoring, and performance
optimization tools
Modern Engineering Practices
• Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude
Code) as part of your workflow
• Experience applying AI tools throughout the development lifecycle from
requirements analysis, documentation to incident response
• Strong code review skills demonstrated through giving and receiving constructive
feedback
• Experience with Git workflows and collaborative development practices
• Ability to balance feature delivery with system reliability and technical excellence
• Comfortable with on-call responsibilities and incident response
What Would Make You Stand Out
• Experience building and scaling SaaS platforms
• Track record of mentoring engineers or leading technical initiatives
• Background with Spring Boot and Java ecosystem
• Experience with Azure cloud services and Kubernetes (AKS)
• Experience in healthcare technology or regulated industries
• Understanding of HIPAA compliance and handling sensitive data
Our Stack
• Front-End: React/Vue JS, Micro-Frontends, Material-UI
• Backend: Java, Spring Boot
• Data: PostgreSQL, MSSQL, Redis
• CI/CD: GitHub Actions, Jenkins
• Infrastructure: Azure, AKS, Terraform
• AI Tooling: Claude Code, Copilot
#LI-AJ1
#LI-Hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: London
Workplace: Hybrid
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters
RESPONSIBILITIES
- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
- Manage and optimize Slurm-based HPC environments for distributed training of large language models
- Develop robust APIs and orchestration systems for both training pipelines and inference services
- Implement resource scheduling and job management systems across heterogeneous compute environments
- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
QUALIFICATIONS
- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
- Experience with deploying and managing distributed training systems at scale
- Deep understanding of container orchestration and distributed systems architecture
- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
- Experience managing GPU clusters and optimizing compute resource utilization
REQUIRED SKILLS
- Expert-level Kubernetes administration and YAML configuration management
- Proficiency with Slurm job scheduling, resource management, and cluster configuration
- Python and C++ programming with focus on systems and infrastructure automation
- Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
- Strong understanding of networking, storage, and compute resource management for ML workloads
- Experience developing APIs and managing distributed systems for both batch and real-time workloads
- Solid debugging and monitoring skills with expertise in observability tools for containerized environments
PREFERRED SKILLS
- Experience with Kubernetes operators and custom controllers for ML workloads
- Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
- Familiarity with GPU cluster management and CUDA optimization
- Experience with other ML frameworks like TensorFlow or distributed training libraries
- Background in HPC environments, parallel computing, and high-performance networking
- Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
- Experience with container registries, image optimization, and multi-stage builds for ML workloads
REQUIRED EXPERIENCE
- Demonstrated experience managing large-scale Kubernetes deployments in production environments
- Proven track record with Slurm cluster administration and HPC workload management
- Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
- Experience supporting both long-running training jobs and high-availability inference services
- Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
Location: San Francisco; Palo Alto; New York City
We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us.
WHAT YOU WILL WORK ON
Examples of real work the team does:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
GOOD IF YOU TOUCHED ANY OF
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Location: London
We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL.
RESPONSIBILITIES:
- New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway.
- GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow.
- Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic.
- Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving.
- Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.
WHO WE'RE LOOKING FOR:
- Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus.
- You understand modern LLM architectures and are able to bring them up reliably in a production environment.
- You've built and operated production distributed systems under real load - ideally performance-critical ones.
- Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels.
- You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday.
- Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you.
NICE-TO-HAVE:
- ML compilers and framework internals: PyTorch internals, torch.compile, custom operators.
- Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism.
- Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving.
- Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis.
- Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads.
QUALIFICATIONS:
- 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.
- Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).
- Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).
- Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).
Final offer amounts are determined by multiple factors including experience and expertise.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Location: Warsaw
Workplace: Hybrid
Role highlights:
• Senior C++ Engineer – Satellite Real-Time Control Systems
• Location: Warsaw, Poland
• Department: Engineering
• Reports to: Engineering Lead, AOCS Software
• Employment type: Permanent
• Workplace model: Hybrid
• Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics.
Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
• Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution
• Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy
• Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support
• Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance
• Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value
• Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy
What we’re looking for
Must haves:
• Strong experience writing modern C++ with a clear understanding of production-quality code
• Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems
• Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour
• Experience interfacing with sensors and actuators in embedded Linux environments
• Strong engineering practices including rigorous testing, CI/CD, and clear documentation
• Ownership mindset across the full software lifecycle from concept to on-orbit maintenance
• Clear communicator who collaborates effectively across multidisciplinary teams
Nice to haves:
• Experience with hardware-in-the-loop and model-in-the-loop testing
• Experience supporting software in operational or mission-critical environments
• Familiarity with satellite GNC or space systems
Application Process
• Talent Attraction screening
• Hiring Manager interview
• Task and Technical interview
• On-site technical workshop
• On-site behavioural interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Sydney
Workplace: Hybrid
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.
- Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.
- Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency.
- Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.
EXAMPLE PROJECTS
These are some examples of projects that engineers on our team have worked on recently:
- Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn
- Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations
- Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services!
- Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development
- Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers
WHAT YOU'LL BRING
- Experience building and scaling end-to-end production systems
- Strong technical problem-solving skills, especially in fast-changing, ambiguous environments
- A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
EVEN BETTER...
- Experience building or deploying AI/LLM systems in production
- Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed
- Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
- Prior experience with React, TypeScript, and/or Go
- Previous roles where you interfaced with customers or led technical projects with external stakeholders
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include:
- Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach
- Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users
- Implementing sophisticated data processing pipelines that maintain search relevancy
As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo.
ABOUT YOU
- 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products
- Product acumen to reason about technical tradeoffs in terms of user impact
- Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering
- A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code.
- Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery
- Solid project management abilities
- Excellent written and verbal communication to validate and articulate decisions
- Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Colombia; Mexico; Argentina; Brazil; Costa Rica
We are seeking an
Engineering Manager – Mechanical & Electrical
to lead and develop a distributed team of LATAM-based engineering resources.
This role is
mechanically driven
, with strong responsibility for design quality, execution, and manufacturability, while also overseeing electrical engineering integration.
You will act as the
key bridge between U.S.-based stakeholders and LATAM execution teams
, ensuring all deliverables are accurate, aligned, and delivered on time.
This is a
technical leadership role
, requiring deep involvement in engineering work, not a people-only management position.
Engineering Leadership & Team Management
Lead and develop LATAM-based CAD Technicians, Drafters, Mechanical Design Engineers, and Electrical Engineers
Set clear expectations for quality, delivery, and technical rigor
Assign and prioritize work across multiple programs
Mentor engineers to improve technical capabilities and execution
Provide performance feedback and support ongoing development
Mechanical Engineering (Primary Focus)
Own mechanical design execution across modular systems, enclosures, and industrial structures
Review and approve designs for accuracy and manufacturability
Ensure proper application of materials, tolerances, and fabrication methods
Drive design-for-manufacturability (DFM) and design-for-assembly (DFA) best practices
Partner with Manufacturing Engineering to align designs with build strategies
Electrical Engineering Oversight
Provide leadership and oversight for electrical engineering deliverables
Ensure clean integration between electrical systems and mechanical layouts
Review schematics, layouts, and documentation for completeness and consistency
Coordinate and resolve mechanical–electrical interface challenges
Standards, Quality & Governance
Establish and enforce engineering standards, templates, and best practices
Ensure consistent use of CAD tools, drawing standards, and revision control
Maintain quality control across engineering output from LATAM teams
Support engineering change management and design revisions
Cross-Functional Collaboration
Collaborate with Engineering, Manufacturing, Supply Chain, and Program teams
Translate project requirements into clear engineering work packages
Support project timelines, milestones, and risk identification
Act as a technical escalation point for complex design challenges
Global Team Execution
Manage distributed teams across time zones with clear communication and structure
Ensure alignment between stakeholders and LATAM engineering execution
Drive accountability without micromanagement
Build repeatable workflows for offshore engineering support
Technical Review & Risk Management
Review complex designs for technical risk, cost drivers, and manufacturability concerns
Identify issues early and drive corrective action
Ensure designs meet compliance, safety, and customer requirements
Requirements
Must-Have
Bachelor’s degree in Mechanical Engineering or related discipline
10+ years of experience in industrial, modular, or engineered-to-order environments
5+ years of experience leading engineering teams
Strong mechanical engineering background with design experience
Experience managing remote or distributed teams
Ability to review and approve mechanical and electrical designs
Strong communication and technical leadership skills
Nice-to-Have
Experience with modular systems, enclosures, or industrial equipment
Experience working with CAD teams and drafting resources
Familiarity with SolidWorks and SolidWorks Electrical
Experience integrating mechanical and electrical systems
Experience working with LATAM or offshore engineering teams
Exposure to manufacturing, fabrication, or production environments
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Jeddah, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates; Cairo, Egypt; Lahore, Pakistan; New Delhi, India
We are seeking a skilled Maintenance Engineer - Biomedical to join our team in Saudi Arabia. The Maintenance Engineer - Biomedical will be responsible for maintaining, troubleshooting, and repairing biomedical equipment to ensure optimal functionality and safety standards are met. This role involves performing preventive maintenance, conducting inspections, and supporting the installation and commissioning of new biomedical devices.
The Maintenance Engineer - Biomedical is responsible for ensuring the effective and reliable delivery of maintenance services across all community facilities and systems at KAUST. The role focuses on monitoring, auditing, and verifying the performance of service providers to ensure compliance with contractual, technical, and safety standards.
Key responsibilities include managing both preventive and corrective maintenance activities, ensuring they are carried out efficiently, safely, and in accordance with established schedules and procedures. By conducting regular inspections, technical evaluations, and performance reviews, the engineer safeguards asset quality and reliability while fostering continuous improvement and operational excellence.
Responsibilities
Ensure effective execution, reliability, and quality of maintenance activities across all assigned facilities and assets.
Support and oversee preventive, corrective, and predictive maintenance operations to ensure safe and efficient performance.
Monitor daily maintenance activities carried out by service providers, ensuring compliance with schedules, SOPs, and KPIs.
Review work orders, reports, and field activities to verify completion, accuracy, and maintenance quality.
Provide technical expertise, troubleshooting support, and guidance across multiple asset categories and disciplines.
Ensure full compliance with contractual requirements, safety regulations, and industry standards (JCI, CBAHI/SBAHI, SFDA).
Conduct audits, inspections, and performance evaluations of service providers and maintenance processes.
Lead root cause analysis of equipment failures and implement corrective and preventive actions.
Maintain and update asset data in CMMS (SAP/Maximo) and support asset lifecycle and reliability strategies.
Oversee biomedical equipment maintenance, calibration, testing, and performance verification, ensuring compliance and operational readiness.
Requirements
Bachelor’s degree in Engineering (preferably Biomedical Engineering).
5–7 years of experience in biomedical equipment maintenance and operations.
Strong knowledge of preventive, corrective, and predictive maintenance methodologies.
Proficiency in CMMS systems such as SAP or Maximo.
Knowledge of international healthcare and engineering standards (JCI, CBAHI/SBAHI, SFDA, IEC 60601, HTM).
Expertise in biomedical equipment calibration, performance testing, and lifecycle management.
Proven experience in contractor coordination, audits, inspections, and technical reporting.
Professional certifications (CMRP, BMET) and safety training (OSHA/EHS) are preferred.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're looking for a GTM Engineer to join our team. This is a hands-on engineering role embedded in our GTM org. You'll own the systems that power how we identify, enrich, score, and engage prospects at scale: a custom built enrichment pipelines leveraging Cargo, the campaign sync tooling that feeds our events and outbound plays, and the code that ties it all together.
You'll work at the intersection of GTM strategy and software engineering by writing production TypeScript/Python, shipping PRs, designing schemas, and building internal tools that the whole GTM team depends on daily. Think of it as being the engineer who makes the rest of the GTM team unreasonably effective.
You don't need to have done this exact job before. You need to care about the craft. The best GTM Engineers at WorkOS are the ones who spot a broken workflow in Slack at 11pm, open a PR the next morning, and ship the fix before the standup. They're the ones who, when the sales team complains about bad data, don't just route it to RevOps, they dig into the Snowflake schema and find the upstream issue. If that sounds like how you work, we want to talk.
RESPONSIBILITIES
- Enrichment infrastructure: You'll maintain and improve our core enrichment pipeline: the workflows that take a new signup or a conference attendee list and return a fully enriched, scored, and Salesforce-upserted record. Today that involves Cargo, Clay, Snowflake, and a growing set of data providers (Apollo, Linkup, Exa). You'll own the reliability, fill rates, and schema consistency of these systems.
- Account scoring: You'll work on the fit scoring pipeline: the logic that evaluates every company flowing through our stack against our ICP and writes results to Snowflake and SFDC. This includes batching optimization, retry logic, logging and observability, and continuously improving the underlying signals.
- Campaign and event tooling: You'll build and maintain the systems that sync event attendee lists (Luma, conference CSVs) through enrichment and into Salesforce campaigns. When a BDR asks "who came to our event last night?", your tooling answers that question automatically and routes the right records to the right owners. You’ll also propose and prioritize growth experiments, validate the approach, own implementation, measure results, and iterate.
- Custom Tooling integration: You'll build and maintain enrichment tooling accessible via Wallaby, WorkOS's internal AI agent that the GTM team uses to look up prospects, run ad-hoc enrichments, and surface account intel on demand. You’ll design the underlying tools so they’re clean, effective, and composable, using AI and automation across research, enrichment, routing, and engagement workflows.
- GTM data infra: You'll work closely with the data engineering team to keep our Snowflake schema in sync with the tools that consume it, track downstream pipeline impacts when schemas change, and ensure the data flowing into SFDC is accurate and up-to-date. Own and maintain lead and conversion tracking across the funnel, including lifecycle stages and campaign attribution. Keep the underlying data and tracking reliable so we can measure conversion and identify where prospects drop off.
- Code: You'll ship real code. PRs go through review. You'll debug production incidents (Salesforce API rate limits, Cargo timeouts, enrichment failures). You'll instrument logging, add observability, and think carefully about batching, concurrency, and idempotency.
QUALIFICATIONS
- Engineering foundation: You're a capable software engineer. You write clean TypeScript or Python, understand async patterns, know how to design a database schema, and can debug a production incident from logs alone. You don't need to have worked at a software company, but you need to be able to write and ship code.
- GTM domain knowledge: You've worked with the tools: Salesforce, HubSpot, Clay, Cargo, Apollo, or equivalents. You understand how leads flow through a CRM, what enrichment providers actually return, and why data quality degrades over time. Ideally you've had a BDR or AE background that gives you intuition for what the sales team actually needs.
- Systems thinking: You think in pipelines, not one-off scripts. When you build something, you think about what happens at 10x volume, when an API goes down, or when the same company gets submitted five times simultaneously.
- 3+ years of experience in GTM Engineering, Revenue Operations, or a closely adjacent technical role at a high-growth B2B SaaS company.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Kyiv
Workplace: onsite
Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.
Ми шукаємо сильного технічного лідера, який візьме на себе відповідальність за розвиток software ecosystem в Automation департаменті. Ця роль передбачає проведення технічного аудиту існуючих систем і процесів, формування єдиного бачення архітектури та стандартів розробки, а також підвищення зрілості інженерних практик у командах.
Prod Automation Departament забезпечує стабільність масового виробництва та запуск нових виробничих локацій. Команда розробляє уніфіковані і модульні рішення, оптимізує ефективність ліній та працює над зниженням собівартості процесів без втрати якості продукту.
Ви будете працювати на стику кількох напрямків (Cloud, Desktop, DevOps, ML/CV) і допомагати командам рухатися в сторону більш масштабованих, стабільних і узгоджених рішень, які підтримують виробництво та RnD процеси компанії.
Зони відповідальності:
Проведення аудиту існуючих систем (desktop, web, backend, DB, API) та визначення зон для оптимізації
Розвиток архітектури високонавантажених систем, включаючи обробку подій та роботу з виробничими даними
Впровадження та розвиток best practices (CI/CD, тестування, code review, observability)
Підвищення якості коду та зниження технічного боргу
Стандартизація підходів до розробки між командами
Менторинг тім-лідів та розвиток інженерної культури
Необхідні навички:
Досвід на позиції Tech Lead / Engineering Manager 3+ років
Досвід роботи з командами (10–30 інженерів, напряму або через лідів)
Досвід проєктування складних distributed systems (API, DB, event-driven)
Досвід роботи з high-load або production-critical системами
Глибоке розуміння CI/CD, тестування, code review процесів
Комерційний досвід розробки desktop систем (Python, .net, java, C++) - 5+ років
Досвід роботи з інтеграції REST API сервісів в десктоп застосунки - 2+ роки
Досвід побудови архітектури системи: контроль етапів впровадження, роботи аплікацій, стандартизація розробки
Досвід написання документації, створення/впровадження процесів і правил розробки
Організація прозорої і швидкої системи рев'ю (15+ розробників)
Досвід роботи з linux-системами
Досвід роботи з AWS
Буде плюсом:
Досвід роботи з hardware / embedded /
IoT
Досвід у виробничих системах (MES, SAP Digital Manufacturing чи аналоги)
Досвід з ML/
CV
Досвід інтеграції з enterprise системами (SAP тощо)
Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.
Location: Barcelona, Spain
Workplace: remote
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We have an exciting opening for a
Senior Software Engineer
who is able to see the big picture and balance the search for software quality with a pragmatic approach to help us scale the company. If you're a proactive, creative, and hands-on person who wants to help improve SeQura's product, having ownership and exposure to work hand in hand with seasoned professionals in a collaborative environment, this is the perfect place for you.
We have different projects to carry out our amazing product’s development, you’ll have the possibility to join us to help us grow by contributing to technical and architectural decisions and even creating new teams.
How we build at seQura
🤖
AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift.
What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first.
AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you.
Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code.
If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you.
What challenges you'll be solving 🚀
Be passionate about solving meaningful product problems and delivering simple, clean, and maintainable solutions, leveraging AI to improve both your thinking and your code.
Be proactive, accountable, analytical, and pragmatic.
Contribute with close attention to detail/product ownership.
Work as a strong team player and communicator.
Arrive with motivation to learn and grow.
Be passionate about driving change and efficiency with partners from different disciplines.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and DKV.
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid or remote work (up to 2 hours difference from GMT+2).
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need 🤝
7+ years of experience working as a Software Engineer.
Experience in the full-stack development, deployment, and maintenance of web-based technology applications with Ruby on Rails or the ability and interest in working with it (JavaScript, Elixir, Kotlin, Java, and Python experience is also very valued).
Solid knowledge of OOP, clean coding, TDD, and agile.
English proficiency.
Which are the next steps?
🙌
Interview with People Team
Technical take-home assessment
(async)
Live Peer review of the assessment
Meet the team
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
ГибридleadEspoo
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоseniorUSA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
УдалённоColombia; Mexico; Argentina; Brazil; Costa Rica; Manage distributed teams across time zones with clear communication and structure
Jeddah, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates; Cairo, Egypt; Lahore, Pakistan; New Delhi, India
seniorГеография найма не уточнена
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
ОфисleadKyiv
УдалённоseniorBarcelona, Spain; If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you; Hybrid or remote work (up to 2 hours difference from GMT+2)
