Location: Islamabad, Pakistan
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production.
A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft.
Help us challenge injustice by creating fair choices for millions of people across 48 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: Almaty, Kazakhstan
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production.
A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft.
Help us challenge injustice by creating fair choices for millions of people across 48 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: Limassol, Cyprus
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Help us challenge injustice by creating fair choices for millions of people across in 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.
Annual salary starting from 59 200 EUR gross
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
The QA Load team is responsible for the performance and scalability of services across their entire lifecycle — from Go/No-Go decisions before launch to working with real production traffic. We design and execute load tests, model real-world usage scenarios, identify and eliminate bottlenecks in backend systems, databases, messaging, and infrastructure, and work closely with SRE, DevOps, and product engineering teams.
The role focuses on systematic performance improvement: building load-testing infrastructure, automation and CI/CD quality gates, performance analysis and experimentation, and translating technical metrics (latency, RPS, p95/p99) into clear business impact. Our goal is to make performance a core aspect of product quality and ensure the stable operation of high-load, geo-distributed systems.
Key Responsibilities
Performance Audits & Integration Support:
Go/No-Go decisions with our stakeholder about launches services before integrating them into our ecosystem and integrations support (audit APIs, web, databases, caches, message brokers)
Design&Execute Load Tests global strategy:
Modeling of load testing scenarios (load, stress, soak, peak, find max tests), methodology and formation of non-functional requirements for system using k6, JMeter (DSL framework)
Simulate real-world scenarios and traffic patterns to validate systems under production-like conditions (including high RPS, concurrency levels, data skew, and geo-distributed load)
Load Modeling:
Calculate and validate detailed load models – e.g. expected RPS, concurrent users, transaction volumes, and data distribution.
Adjust these models to mirror peak and edge-case scenarios, ensuring our capacity planning is grounded in reality.
Bottleneck Analysis & Fixes:
Find, analyze, and fix performance bottlenecks. This includes:
backend issues (CPU hotspots, memory leaks, GC pauses, thread pool exhaustion)
DB inefficiencies (Aurora MySQL/RDS indexing, query locks, IOPS limits)
messaging/queue back-pressure (Kafka partitioning, consumer lag, throughput limits)
network constraints (latency, load balancer settings, timeouts)
Work hands-on with SRE, DevOps, and Backend teams to implement optimizations and verify the improvements.
Prepare for Production Traffic:
Ensure services are production-ready. Drive capacity planning exercises and stress tests to determine scaling lag/limits and failure modes. Verify that services can gracefully handle traffic spikes or component failures without violating SLAs or SLOs. Help partners configure autoscaling policies for sustained performance
Loadtesting Infrastructure Setup&Tuning:
Set up, audit, and operate performance testing infrastructure for our services load testing automation and geo-distributed load generator to simulate production traffic
Performance Analysis & Experimentation:
Approach performance issues with an performance analyst/architect mindset – form hypotheses, design experiments, run tests, and draw conclusions to configuration infrastructure and fix backend code.
For example, if latency is high, hypothesize the cause (e.g. database index missing), test the hypothesis, and then make a the fix. Repeat this iterative process to methodically improve system performance.
Business Impact Translation:
Translate technical performance insights into business risks and opportunities. For instance, demonstrate how reducing latency or improving p95 response time can increase conversion rates or GMV. Communicate these insights to both engineers and non-technical stakeholders to underline the business value of performance work.
Observability & Monitoring:
Utilize observability tools to monitor performance during tests. Set up dashboards and alerts in Grafana/Prometheus and other systems (e.g. New Relic, Dynatrace, Zabbix, ELK Stack, Coroot), analyze traces and logs. Use few methods to interpret results and guide troubleshooting.
Performance Tooling:
Build internal performance tooling in Golang: Design and maintain internal tools for automation performance testing and analysis Load as a Service for product teams: traffic generators, load managers, mocks, test stubs, data feeders, and helper services used across partner integrations. Building load test scenarios to Jmeter (DSL framework) and k6 in JavaScript. Innovate on tooling to make load tests easier to create, run, and analyze for the whole team.
CI/CD Integration:
Integrate performance tests into our CI/CD pipeline as QG. Automate load tests run to every new integration or code change is evaluated for performance regressions. Ensure that build pipelines can catch and flag performance drops (e.g. increased response times, higher resource usage) before changes reach production.
Reporting&Communication:
Prepare executive-ready performance reports for engineering teams and C-level stakeholders. Highlight key metrics (p95/p99 latency, throughput, error rates, saturation signals) and identify primary scalability bottlenecks across services, databases, caches, and messaging systems, and compare results against SLOs and capacity targets. Provide clear root-cause explanations and actionable recommendations, including performance vs cost trade-offs, to support production readiness and Go/No Go decisions.
Performance Culture:
Champion a culture where performance = product quality.
Educate and influence teams to treat performance testing as an integral, continuous part of the development lifecycle rather than a one-time task.
Share best practices and success stories, ensuring that performance considerations are baked into design, coding, and testing processes from the start.
Conducting production load and traffic validation experiments with full ownership of risk assessment, blast radius control, observability, and rollback procedures.
Work with geo-distributed, high-load systems (200k+ RPS) and latency-sensitive mobile flows
Set up production-like performance environments in AWS
Conducting and modeling load tests in production
Performance analytics → hypotheses → experiments → fixes → measurable business impact (latency, conversion, GMV)
Skills, Knowledge and Expertise
5+ years in Performance/SRE/Load Testing
Strong programming skills in Golang/Kotlin/Java
Strong k6 or JMeter DSL - Performance Testing Mastery: Hands-on expertise with modern load testing tools, especially k6 and/or JMeter (and their scripting DSL). Deep understanding of performance best practice – you know when to apply load testing vs stress testing vs soak testing, and how to interpret the results of each.
Hands-on experience with AWS infrastructure on for high-load systems: EKS, EC2, Auto Scaling Groups, ALB/NLB, VPC, subnets, routing, security groups
Designing and tuning autoscaling strategies for compute (KEDA/Karpenter/Cluster Autoscaler, EC2 scaling policies)
Understanding network performance characteristics: latency, cross-AZ traffic, NAT/egress limits, load balancer behavior under high RPS
Profiling Golang, Kafka, Redis, DB tuning experience
Automation loadtesting and make QG (JVM languages and Go)
SRE mindset (RED/USE, SLO, error budgets)
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: London, England
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities.
We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years.
What you’ll be doing
You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality.
Day-to-day in this role you’ll:
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads.
Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently.
Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery.
Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help.
Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general.
Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil.
Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams.
Our humble expectations
Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus.
Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation.
Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on.
A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact.
Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication, and the ability to bring people together around a practical technical direction.
What we offer
Scope and influence.
Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence.
Real problems at global scale.
Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company.
Autonomy and ownership.
Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US.
Growth.
Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence.
Great people.
Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Montreal
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified
AI Platform Team
builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models.
The Role:
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane.
Key Responsibilities:
Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.
Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
Write robust Go and Python code to support the continuous sync loop for our usage dashboard
and implement automated "progressive friction" mechanisms, such as alerts.
Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.
Required Qualifications:
Strong backend programming experience, specifically in Go and/or Python.
Hands-on experience with API design, integration, and platform/cloud engineering concepts.
Familiarity with API gateways, proxy configuration, or distributed system networking.
A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-VD1
Location: Berlin, Germany
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities.
We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years.
What you’ll be doing
You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality.
Day-to-day in this role you’ll:
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads.
Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently.
Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery.
Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help.
Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general.
Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil.
Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams.
Our humble expectations
Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus.
Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation.
Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on.
A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact.
Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication, and the ability to bring people together around a practical technical direction.
What we offer
Scope and influence.
Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence.
Real problems at global scale.
Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company.
Autonomy and ownership.
Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US.
Growth.
Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence.
Great people.
Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
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're looking for a
Senior Platform Engineer
to join our Platform team and help us build the platform that lets every engineer at seQura ship safely, quickly, and on their own.
seQura is expanding into new international markets, and the platform has to grow with it without growing its cost at the same pace. At the same time, AI is changing how infrastructure is built and run. We already put AI agents to work on our everyday platform work, from reviewing infrastructure changes and explaining plans to helping engineers resolve incidents on their own. Our goal is to go much further: independent agents working across the whole scope of the platform, with engineers who decide what matters and own the outcome.
You'll work in a cloud-native AWS environment, in a regulated fintech, where security, compliance, and reliability are part of the product we offer to the rest of engineering.
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.
About the Platform team
🧩
Team Mission
To empower engineers with secure, efficient, and compliant infrastructure, while continuously improving through automation and collaboration.
What we own
Our multi-account
AWS
foundation and the
Kubernetes (EKS)
clusters where seQura's products run
Infrastructure as Code
with Terragrunt, delivered through pull requests and Atlantis
Deployment and GitOps tooling: Helm charts, shared deploy configuration, and CI/CD pipelines
The
observability
stack used across engineering: metrics, logs, traces, and alerting
Security and compliance foundations: secrets management, access control, PCI DSS, and the controls required to operate regulated entities across multiple countries under regulations such as DORA, NIS2 and those still to come.
Internal developer tooling, including the AI agents and Claude Code plugins that engineers use to work with our platform on their own
How we work
We're enablers: internal teams are our customers, and we measure success by how much they can do without us
We're autonomous end-to-end: we code, deploy, observe, improve, and document what we build
Everything as code, everything through a pull request, everything reviewed, and every important decision written down in an ADR
Strong opinions, held weakly; collaborators over rock stars; blameless by default
We plan by quarter and choose initiatives by their impact on users and on the business
We work closely with every product engineering team, with Security, with the Data Platform team, and with Compliance.
What challenges you'll be solving 🚀
International expansion
: help seQura launch in multiple new markets, with the isolation, compliance, and reliability each one requires
AI-native platform
: move from AI that assists us to independent agents that operate across the whole scope of the platform, from infrastructure changes to support and incident response
Keeping up with open source in the AI era
: define new strategies to adopt, upgrade, and secure the open source software we depend on, now that it moves faster than ever
Scale without raising our baseline cost
: design the strategies that let the business keep growing while our base infrastructure cost stays flat
What to expect in the next 90 days
🏁
Month 1:
Learn the terrain 🧭
You'll join initiatives the team already has in motion, pairing with your teammates and shipping your first changes to production. You'll learn how we work, why we made the decisions we made, and what the rest of engineering expects from us.
By the end of the month: you've shipped to production and you know who to ask for what.
Month 2:
Own your first mission 🎯
We'll hand you an opportunity the team has already identified, and it's yours: from the technical design to running it in production. You'll keep discovering seQura along the way, and we'll be there whenever you need context.
By the end of the month: you've delivered an initiative end-to-end and you have your own opinion on where the platform should go next.
Month 3:
Shape what comes next 🚀
With more context, you'll be the one finding the opportunity. You'll talk with other teams to understand their friction, lead a cross-team initiative, and bring your own proposals to the planning of next quarter.
By the end of the month: part of next quarter's roadmap has your name on it.
What we are looking for🤝
Must have:
You've
designed and operated highly available distributed systems in production, and you've lived through what happens when they fail
: incidents, post-mortems, and the changes that made sure it didn't happen again
Proven experience
scaling infrastructure at a global scale
Strong hands-on experience with
AWS
,
Kubernetes
, and
Terraform
in production
A
product mindset
: you put users and the business at the center of your decisions, and you can explain why one initiative matters more than another
Hands-on experience working with AI agents in your daily engineering work
Agency: you don't wait for a ticket. You spot the problem, decide it's worth solving, bring people along, and own it until it runs in production
Professional proficiency in English, both written and spoken
Nice to have:
Experience in fintech, payments, or other regulated environments (PCI DSS, DORA, or similar)
Experience with Terragrunt, Atlantis, or GitOps workflows
Scripting or programming in Python, Go, or similar
Experience with Prometheus, Grafana, the Elastic stack, or Tempo
Experience building internal developer platforms or self-service tooling
Experience building your own AI agents, skills, or automations for engineering teams
Experience being part of an on-call rotation
Spanish
Tech stack
🛠️
AWS (multi-account), Kubernetes (EKS), Terragrunt, Atlantis, Helm, Jenkins, GitHub Actions, SOPS, Prometheus, Grafana, Thanos, Elastic, Tempo, Python, and AI coding agents such as Claude Code as part of our daily workflow.
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
Flexible working hours.
A personal budget for professional development.
Hybrid or fully remote work.
Office workshops and meet-ups to encourage community participation and career growth.
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.
Which are the next steps?
🙌
Interview with our People Team.
Technical challenge (async), solved with your own AI tools
Live session with the team, where you walk us through your decisions and your solution
Meet the Hiring Manager
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!👇
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. More than 9 million developers and 250,000+ customers now build on Supabase, and the majority of new databases on the platform are created by AI app builders — so the systems underneath have to stay reliable while they grow fast.
ABOUT THE ROLE
Container Engineering (ConEng) owns the internal container platform that runs Supabase's multi-tenant, multi-region services — the managed Kubernetes platform that other engineering teams build and deploy on top of. We own cluster lifecycle and cluster classes, multi-cluster and multi-region topology, capacity, scheduling, isolation and runtime safety, the higher-level platform APIs, the Kubernetes deployment contract and Argo semantics, rollout primitives, and runtime configuration and secret injection.
Your job is to make the platform itself trustworthy, observable, and cheap to operate at scale — and to raise the reliability bar for everyone who depends on it. This is not a gatekeeper role. You'll make the reliable path the easy path: building the automation and platform APIs that let product teams run safely by default, instrumenting what we operate, and making sure that when something breaks we detect it and recover fast.
The work spans three strength areas:
Tooling & ecosystem — deep knowledge of the container and orchestration landscape (Kubernetes, containerd/OCI, the CNCF ecosystem) and a clear point of view on how to compose it.
Software engineering — designing and building the platform's automation, controllers, and internal tooling as production code, including solutions that don't come pre-shaped by an existing tool.
Operational / SRE practice — the discipline (SLOs, error budgets, incident response, ORRs) that runs the platform at scale as a predictable one.
We expect you to be genuinely deep in at least one of these, and many of our strongest candidates are deep in two (usually leaning toward one). Bringing real strength across all three is rare and exceptional — and even then, no one is equally strong in all three at once, so you'd focus where you're most needed at any given time. Different profiles are welcome here; tell us which of these is your center of gravity.
WHAT YOU'LL BE RESPONSIBLE FOR
Regardless of the skill set, all team members carry a share of the team's on-call rota, responding to platform incidents and driving them to resolution and follow-up.
Platform reliability & operations
- Define SLIs/SLOs and error budgets for the container platform itself, and build error-budget policies that actually gate platform changes.
- Own the Operational Readiness Review (ORR) process for new platform capabilities and major changes.
- Design and track metrics for platform uptime, and increase observability into the platform by capturing the right metrics, logs, and traces across the platform layers.
- Drive the incident-to-improvement pipeline: facilitate blameless postmortems, connect findings to readiness gaps, spot repeat failure patterns, and push through systemic fixes.
Software engineering
- Build and maintain the platform's automation, controllers, operators, and internal tooling — writing production code and shipping it, not just wiring together existing tools.
- Design and implement the platform-side CI/CD and rollout primitives that speed up platform deployments while working within proper change and release management.
- Implement and maintain security automation for the platform: intrusion detection, automated remediation, and patch management.
- Identify and quantify operational toil, and build the automation that removes it rather than just documenting it.
- Contribute to the platform's continual testing automation — the test suites and pipelines that validate platform releases are fit for purpose before they reach tenants.
Tooling, ecosystem & architecture
- Act as a platform reliability and architecture expert — contribute to failure-mode analysis, dependency mapping, and resilience design for multi-tenant container workloads.
- Evaluate and evolve the platform's tooling ecosystem (orchestration, runtime, networking, isolation, and observability stack) with a clear, opinionated view on trade-offs.
- Improve system architecture to reduce infrastructure cost while balancing security, reliability, and performance across tenants.
- Guide teams building on the platform to design sustainable on-call practices for their own services: alert quality, escalation paths, runbook coverage, and noise reduction.
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years in platform engineering, container/Kubernetes platform operations, SRE, or production infrastructure, and have operated production systems at scale and carried on-call for them.
- Are genuinely deep in at least one — ideally two — of the three strength areas below (and tell us which is your center of gravity):
- Tooling & ecosystem — know the container/orchestration landscape well: Kubernetes, containerd and the OCI/CRI standards, and the surrounding CNCF ecosystem (e.g. Argo CD/Argo Rollouts for GitOps and progressive delivery; Cilium/eBPF networking and the Gateway API; Karpenter/KEDA-style autoscaling; and workload-isolation runtimes such as gVisor or Kata Containers). You reason about trade-offs rather than reaching for defaults.
- Software engineering — write real production code (Go and/or a comparable systems language) and can build controllers, operators, and platform APIs — stepping back to the underlying problem and building the right solution when no off-the-shelf tool fits.
- Operational / SRE practice — are fluent in SLOs, error budgets, and operational KPIs; have led incident response and blameless postmortems; and have driven down MTTD/MTTR for systems you operated.
- Have worked with large-scale multi-tenant systems and understand isolation as a spectrum — from namespaces, RBAC, network policies, and resource quotas through to stronger primitives such as virtual clusters (e.g. vCluster) or VM-class runtimes.
- Operate confidently on AWS (multiple accounts, IAM, VPC) and are comfortable with infrastructure-as-code (Pulumi preferred; Terraform/CDK also fine) and Kubernetes.
- Script and automate to eliminate toil rather than absorb it.
- Communicate clearly with both infrastructure specialists and product engineers, and thrive in async, globally distributed teams.
- Are comfortable navigating ambiguity and iterating toward better systems over time.
Nice to Have
- Experience building and operating a multi-tenant Kubernetes platform that internal teams deploy onto.
- Familiarity with policy engines (Kyverno, or OPA/Gatekeeper) and cost-attribution tooling (OpenCost/Kubecost) for per-tenant chargeback/showback.
- Experience with managed database platforms or Postgres.
- Familiarity with OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, or similar observability tooling.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Москва, удалённая работа или гибрид, RU; Россия
О команде
Мы — команда хранилища данных Авито. У нас есть более сотни внутренних и внешних систем, из которых мы получаем данные. Мы строим отчётность, помогаем бизнесу проверять гипотезы и принимать решения, а также выбирать эффективные способы достижения целей, основанные на этих данных.
Наша цель — сделать так, чтобы хранилище работало стабильно и могло отвечать требованиям доступности, отказоустойчивости и своевременной готовности данных, которые предъявляют нам наши пользователи.
В работе команда использует продуктовый подход к инфраструктуре: опирается на метрики, анализирует потребности пользователей платформы и системно улучшает инструменты, с которыми работают аналитические и продуктовые команды. Это роль для инженера, которому интересно влиять на стабильность данных, качество инфраструктурных решений и развитие платформенных сервисов.
Какие задачи вас ждут:
повышать эффективность использования аналитической инфраструктуры;
обеспечивать стабильность входящего потока данных;
управлять жизненным циклом данных;
поддерживать стабильность платформы на уровне инфраструктуры.
Мы ждём, что вы:
проектировали компоненты распределённых систем или отвечали за их работу;
разбираетесь в принципах работы аналитических систем;
не менее 5 лет работали SRE-, DevOps-, Infrastructure- или бэкенд-инженером;
уверенно работаете с Linux и умеете диагностировать и устранять проблемы в продакшен-системах;
экспертно знаете Kubernetes;
программировали на Python, Java или Go.
Работа у нас — это:
расширенная забота о здоровье: ДМС, страхование жизни, онкострахование;
сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких;
корпоративный спорт: групповые тренировки, велбиинг-приложение;
спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование;
компенсация питания.
leadМосква, удалённая работа или гибрид, RU; Россия
Location: Самара
В Сбербанк Онлайн мы строим щит, который защищает финансы и данные миллионов клиентов. Наш продукт — это не просто приложение, а среда, где каждый пользователь может управлять безопасностью своих счетов и спать спокойно.
Присоединяйтесь к команде Сбербанка и создавайте надёжные сервисы, от которых зависят реальные деньги людей.
Обязанности
### В твои задачи будет входить:
* развивать CI/CD в Jenkins: сборку контейнеров, публикацию артефактов, доставку приложений
* контейнеризировать и развёртывать сервисы в Kubernetes
* взаимодействовать с командой разработчиков (3 линия) и подразделениями заказчика по вопросам сопровождения и развитие
* эксплуатировать тестовые и production-кластеры Kubernetes: Helm-релизы, Ingress, Istio, конфигурацию workloads, обновления, миграции и разбор проблем с rollout/rollback
* настраивать мониторинг, логирование, трассировку и алертинг
* устранять сбои в работе системы
* проводить регулярные работы по устранению рисков кибербезопасности
* развивать DevOps культуру в команде.
Требования
### От кандидата ждем:
* высшее техническое образование
* понимание ITSM процессов
* продвинутое понимание k8s/openshift, ArgoCD, Helm
* знание ОС Linux на продвинутом уровне
* опыт диагностики проблем и поиск корневой причины
* знание на базовом уровне языка запросов SQL и опыт работы с СУБД
* опыт работы с системами мониторинга и логирования (grafana , VM , prometheus, zabbix, vector)
* продвинутые знания инструментов автоматизации процессов разработки (jenkins, ansible, git)
Будет плюсом
* опыт работы с брокерами сообщений (kafka, rabbitmq)
* опыт работы с технологиями контейнеризации ( docker, containerd, docker-compose )
* опыт работы с инструментами потоковой обработки данных ( ni-fi, flink )
* понимание микросервисной архитектуры и принципов функционирования web-приложений
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
### **Мы предлагаем:**
* работу в офисе в городе Самара, Московское шоссе, 270в
* стабильную заработную плату и годовой бонус
* расширенный ДМС с первого дня работы для сотрудников и льготная медицинская страховка для близких
* ипотека выгоднее на 4 п.п. и льготные условия кредитования для каждого сотрудника
* бесплатная подписка СберПрайм, которой можно поделиться с тремя близкими
* инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти
* среда для обмена знаниями – высокая экспертиза внутри команды
* сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать
* нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам.
Location: AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Sydney (45 Clarence St); AU: Brisbane (243 Edward St); AU: Victoria Remote Worker
Workplace: Hybrid
SENIOR ENGINEER - PLATFORM
The role and its impact
As a Senior Engineer in our Infrastructure team, you’ll help Xero engineers build and test software faster and with more confidence. You’ll design and build the systems that create test environments, and you’ll make sure test data is ready when teams need it. This work sits at the heart of how we ship software, and it helps set Xero up for AI transformation.
You’ll work across complex platforms, including older legacy systems alongside modern technology. There will be trade-offs to weigh as you decide where the most value sits for engineering teams. Xero asks you to Go Bold in how you approach these problems, and to Go Fast without cutting corners.
The team and how they connect
Our Infrastructure team builds the platform foundations that Xero engineers rely on every day. Our engineers come from software, platform and infrastructure backgrounds, and we work closely with teams across Xero to understand their systems and find elegant solutions. We believe in Going Together, which means sharing knowledge openly and making sure everyone’s voice is heard.
The team is currently working on / Initially, you will focus on:
- Building support systems and tooling for test environments, so engineers can test changes without waiting on blockers.
- Improving test data and enabling frictionless testing across engineering teams.
- Working with our Golang services, alongside infrastructure built with Terraform on AWS, including Kubernetes, EC2 and Lambda.
- Contributing to a longer-running initiative to shorten feedback loops and increase engineering productivity.
Where and how you can work
This is a permanent role, based in Melbourne, Sydney or Brisbane with a remote-first working culture. We have no set office days, so you’ll work with your manager and team to find a balance that suits how you do your best work. Once you’ve settled in, you’ll join our on-call rotation as part of supporting the systems we build.
Here are some of the things we’re looking for, for this role:
- Your background could be in software engineering that has moved into platform or DevOps, or in infrastructure work that understands how software is built.
- Golang is our preferred language, though strong experience in Java or .NET is equally welcome.
- Hands-on experience with Terraform, AWS and Kubernetes will help you hit the ground running.
- A curious, problem-solving mindset and the ability to pick up unfamiliar systems quickly, including legacy ones, are key to how you’ll Go Further here.
- Clear communication is second nature to you, whether you’re working in another team’s codebase or presenting to leadership.
Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Singapore
Why This Role Exists
Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission.
Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network.
The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base.
The Role
CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core.
Rapid response.
When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation.
Proactive engineering.
When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds.
Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline.
What You Might Work On
Rapid response:
Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream.
Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering.
Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time.
Proactive engineering:
Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end.
Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle.
Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate.
Responsibilities
Rapid incident response and root cause analysis.
Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends.
Proactive reliability engineering.
Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve.
Cross-functional partnership.
Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes.
Technical leadership and enablement.
Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness.
Product and platform depth.
Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains.
Requirements
Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments.
Strong foundation in networking and security:
TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching.
Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP.
Routing protocols: BGP, OSPF, including path selection and route propagation.
Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs.
VPN and encryption: IPSec, SSL/TLS tunnels, GRE.
Zero Trust architecture, network segmentation, modern security models.
Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing.
Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil.
Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices.
Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers.
Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents.
Desired Skills & Experience
SRE, DevOps, or platform engineering experience with direct customer-facing accountability.
Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket).
Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss.
Data-at-scale analysis using SQL, PromQL, or equivalent.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker).
Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency.
Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority.
Experience applying AI/ML to production engineering or operational workflows.
Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents.
Bonus Points
Active Cloudflare user who understands the platform as a practitioner.
Hands-on experience with Workers, Pages, R2, D1, or other developer platform services.
Cloud networking and security experience across AWS, Azure, or GCP.
Web programming (HTML, JavaScript) and regular expressions.
Chaos engineering or formal reliability frameworks (e.g., Google SRE principles).
Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Remote USA
Workplace: Remote
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As a Senior Cloud Engineer I, you are the backbone of the infrastructure that powers Docebo’s global learning platform! You will architect, scale, and secure our AWS-based environments using cutting-edge DevOps and Platform Engineering practices. By building resilient automation and optimizing systems like our FedRAMP-regulated environments, you will directly empower engineering teams to deploy faster and keep millions of learners seamlessly connected. Get ready to solve high-impact technical challenges, elevate our cloud strategy, and shape the future of AI-driven learning!
⚡ THE DAY-TO-DAY
- Architect the Future: Own and evolve our AWS cloud infrastructure end-to-end, taking projects from initial blueprint through implementation and operations to guarantee ultra-high availability, performance, and scale.
- Automate Everything: Design and implement self-service Infrastructure-as-Code (IaC) templates and automation workflows that crush manual toil and give product teams superpowers.
- Fortify the Platform: Elevate our cloud security posture by partnering with Security and Compliance teams to maintain audit-ready FedRAMP configurations, eliminate drift, and streamline patching.
- Partner for Impact: Collaborate closely with Engineering to launch new services seamlessly, jump into high-priority incident responses, and turn post-mortem insights into platform upgrades.
- Optimize and Observe: Master systems like Datadog to keep eyes on platform performance, driving decisions that optimize system resilience, speed, and cost-efficiency.
- Level Up the Team: Inspire and mentor junior Cloud Engineers through code and design reviews, keeping Docebo at the forefront of modern cloud trends.
💪 YOUR SUPERPOWERS
- Cloud Mastery: Proven expertise managing complex, production-grade AWS infrastructure with 4–8 years of experience in cloud systems or platform engineering.
- Infrastructure as Code Ace: Intermediate to advanced mastery with IaC tooling like Terraform, CloudFormation, or CDK to provision and scale complex environments.
- Containerization & Linux Powerhouse: Hands-on proficiency with Linux, Docker, and running microservices on Kubernetes/EKS.
- Observability & CI/CD Champion: Strong experience using Datadog (or similar observability tools) alongside Git/GitLab for seamless code delivery and automation.
- DevOps Mindset & Scripting Skills: Solid understanding of DevOps methodologies paired with fluent scripting skills in Python, Bash, or Go.
- Problem-Solving Superhero: Exceptional analytical skills, sharp attention to detail, and a collaborative, team-first approach to solving complex engineering problems.
NOTE: U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. Preference will be given to candidates who live in, or are willing to work, Eastern Time hours.
⭐ BONUS POINTS
- Compliance Ninja: Direct experience maintaining and patching FedRAMP-regulated or highly compliant cloud environments.
- Academic Foundation: A Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent real-world experience).
🗓️ OUR INTERVIEW PROCESS
Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned.
Step 2: A 45-60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity.
Step 3: A technical deep-dive and system design discussion with key members of our Cloud & Platform Engineering team.
Step 4: A final wrap-up conversation with engineering leadership to discuss team culture, growth, and next steps.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with offices across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
We’re seeking a
Senior Manager, Site Reliability Engineer
to join our team and help ensure the stability, scalability, and reliability of Backblaze production systems.
About the Role
We are seeking an experienced Senior Manager to lead within our Site Reliability Engineering (SRE) organization. The ideal candidate brings deep experience developing engineering strategies, leading high-performing technical teams, and translating reliability priorities into measurable outcomes.
As a leader at Backblaze, you will work across the organization to help achieve our reliability and operational goals, including partnering with engineering leaders, executives, customers, and other key stakeholders. This role will focus on unlocking the potential of our engineers through observability, automation, operational excellence, and continuous improvement.
What You'll Do
Hire, lead, mentor, and develop a high-performing team of Site Reliability Engineers, including coaching, career development, and performance management.
Manage other engineering managers as required and help develop leadership capability within the organization.
Establish team goals, objectives, and reliability priorities, ensuring commitments are delivered or expectations are proactively reset when circumstances change.
Collaborate with engineering leaders across Backblaze to define strategic priorities and execution plans.
Develop and improve automation that accelerates the deployment of new storage vaults, core servers, and supporting infrastructure.
Own and improve vulnerability management and patching schedules to ensure contractual, operational, and security requirements are met.
Drive complex reliability initiatives from problem discovery through implementation and resolution.
Partner with engineering teams to improve observability, monitoring, and alerting and provide meaningful insight into the health and performance of Backblaze infrastructure.
Lead analysis of SLA and reliability performance, identify areas of risk, and drive corrective actions.
Participate in leadership on-call rotations, major incident response, and post-incident reviews to continuously improve service reliability.
Provide leadership during incidents and ensure root cause analyses, corrective actions, and follow-up work are completed effectively.
Apply established ITIL and operational processes across incident, change, problem, and capacity management.
Partner with Engineering, Customer Success, Product, and Operations teams to support resilient system design and reliable production operations.
Engage with customers to understand their reliability needs and ensure stability priorities reflect customer experiences and business requirements.
Work with vendors and service providers to troubleshoot service issues and monitor SLA performance.
Lead cross-functional initiatives to identify gaps in observability, operational processes, reliability, and infrastructure management.
Identify recurring operational issues and develop long-term strategies and action plans to address them.
Document systems, share learnings, and promote a reliability-focused engineering culture across Backblaze.
The Right Fit
10+ years of experience in site reliability engineering, systems engineering, infrastructure, or production operations, including significant engineering leadership experience.
Demonstrated experience building, managing, mentoring, and developing high-performing technical teams.
Experience leading reliability or infrastructure organizations operating large-scale, production-grade systems.
Strong understanding of deploying and managing large fleets of Linux hosts, with a strong emphasis on automation.
Strong knowledge of observability and monitoring technologies such as VictoriaMetrics, Prometheus, Grafana, OpenSearch, or comparable platforms.
Experience establishing operational procedures, runbooks, incident processes, and reliability practices at scale.
Strong understanding of storage systems, including storage performance, sharding, distributed architectures, and storage algorithms.
Understanding of load-balancing technologies and services, including IPVS or comparable technologies.
Experience managing security-focused infrastructure operations, including patching, hardening, vulnerability identification, and remediation.
Demonstrated ability to lead major incidents and post-incident processes, including root cause analysis and corrective action planning.
Experience using automation and AI-assisted technologies to improve engineering productivity, system performance, operational efficiency, or scalability.
Ability to independently take ownership of complex problems and drive initiatives from discovery through resolution.
Strong communication and collaboration skills, with the ability to work effectively with engineers, executives, customers, vendors, and cross-functional stakeholders.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Bonus Points For
Experience operating infrastructure at hyperscale or within a hyperscaler environment.
Experience in SaaS, cloud infrastructure, service provider, storage, or large-scale distributed systems environments.
Experience with object storage or other large-scale storage platforms.
Familiarity with ITIL or OSS operational practices.
Experience defining, managing, and improving SLOs and SLAs.
Experience with AWS, Google Cloud Platform, Microsoft Azure, or other major cloud platforms.
Experience leading teams through significant infrastructure scaling, reliability, or operational transformation initiatives.
Backblaze Perks
Equity grants for eligible full-time employees.
Annual company bonus program.
Medical, dental, and vision benefits for eligible employees and family members.
401(k) program.
Employee Stock Purchase Plan.
Flexible vacation policy.
Parental leave benefits.
MacBook Pro and workstation support.
Childcare support.
Fertility treatment and family-building support.
Learning and development opportunities.
Commuter benefits where applicable.
A culture that supports a healthy work-life balance.
To provide greater transparency to candidates, Backblaze shares base pay ranges for U.S.-based positions. Compensation ranges are established based on factors including function, level, and location. Final offers may vary based on candidate location, relevant experience, skills, and applicable licenses or credentials.
The expected salary range for this role is $178,000 - $210,000.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте
— Обеспечение бесперебойной работы инфраструктуры и сервисов
— Сопровождение bare-metal кластеров Kubernetes
— Сопровождение кластеров ClickHouse, Kafka, PostgreSQL, Aerospike
— Автоматизация процессов
— Обнаружение потенциальных проблем и участие в создании решения по их устранению
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг
Требования:
— Опыт администрирования Linux серверов
— Опыт администрирования Kubernetes
— Опыт администрирования ClickHouse, PostgreSQL, Redis
— Опыт работы с брокерами сообщений (Kafka)
— Понимание принципов Infrastructure as Code (IaC)
— Опыт работы с Prometheus stack
— Опыт работы с ELK/EFK
— Опыт работы с Aerospike (будет плюсом)
— Опыт использования GitLab CI (будет плюсом)
— Опыт автоматизации с помощью Ansible (будет плюсом)
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.) (будет плюсом)
Условия:
— Полная занятость (full-time)
— Отсутствие дресс-кода и бюрократии
— Рабочий ноутбук на выбор: Mac или PC
— Покупка билетов до Кипра за счёт компании
— Помощь с переездом семьи из любого региона
— Рабочая виза для сотрудника и гостевая виза для членов семьи
— Предоставление жилья на первый месяц
— Медицинская страховка и мобильная связь
— Бесплатные обеды и напитки
— Всегда полные корзины фруктов и всяких вкусняшек в офисе
— Бесплатные курсы английского и греческого языков
— Оплата занятий спортом
— Частичная оплата школ и детских садов
ОфисseniorЛимассол; Вакансия предполагает релокацию на Кипр
ГибридAlmaty, Kazakhstan
ГибридLimassol, Cyprus
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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
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