Location: European Union
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden
What you'll be solving
A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks.
That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem
-
several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live.
This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Understanding of Kubernetes internals – autoscaling and networking.
You've personally driven a complex project end-to-end.
Experience with AI coding agents and agentic development workflows.
You've used observability tooling in production.
CI/CD and DevOps practices experience.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Nice-to-haves:
Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood.
Deep knowledge of EKS, GKE, or AKS internals.
Container runtime experience CRI-O, runc, containerd.
Cloud storage depth – block storage, CSI, volume management, filesystem internals.
Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage.
Low-level systems programming experience in C or C++.
Kubernetes or cloud-native OSS contributions.
Experience with AI coding agents and agentic development workflows.
Responsibilities:
Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Participate in on-call rotation for teams that require it.
Tools we use daily:
Programming Languages:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab/Github CI with ArgoCD and Kargo
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Estonia; Finland; Greece; Latvia; Romania; Sweden
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Moldova; Montenegro; Slovenia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cape Town, South Africa
Job Description:
Microsoft Dynamics 365 CRM Engineer
Location:
CBD Cape Town, South Africa (Office-based, on-site)
UK-aligned Hours:
Mon-Fri (10am-7pm winter / 11am-8pm summer)
Reports to:
VP Engineering
Department:
Engineering
Type:
Full-time
We’re seeking a seasoned
Microsoft Dynamics 365 CRM Engineer
to design, build, and scale enterprise-grade solutions across model-driven and Canvas apps. You will lead integrations, implement refined UI/visual enhancements, craft custom components (PCF), and deliver secure, performant data experiences in Dataverse. This role suits an engineer with a proven track record across the full SDLC in complex, fast-moving environments.
Key Responsibilities
Architecture & Customization
— Implement model-driven app customizations (forms, views, command bar/ribbon, Business Process Flows) with clean, maintainable patterns
Canvas & Power Fx
— Build responsive, accessible Canvas apps with robust Power Fx logic and thoughtful UX
PCF Development
— Develop reusable PCF controls (TypeScript/React), including dataset and field components with unit tests
Server-Side Extensibility
— Create plugins, custom workflow activities, and custom actions in C# (real-time and async)
Dataverse Data Shaping
— Pull and transform conditional data via FetchXML, OData, Web API, and QueryExpression with security-aware filtering
Systems Integration
— Integrate with internal and third-party systems through REST/Graph APIs and Azure services (Functions, Logic Apps, Service Bus)
ALM & Governance
— Own solution management and CI/CD in Azure DevOps (managed/unmanaged strategy, environment strategy, versioning)
Client-Side Engineering
— Implement standards-compliant JavaScript/TypeScript for form logic, validation, and UX polish
Data Modeling
— Define and maintain tables, relationships, keys/alternate keys, and business rules to uphold data quality
Security & Compliance
— Apply best practices for roles, field-level security, auditing, and DLP across the Power Platform
Performance & Reliability
— Monitor, troubleshoot, and optimize plugins, PCF, queries, and Canvas app performance
Documentation & Collaboration
— Produce clear technical documentation and partner effectively with product and business stakeholders
Requirements
5+ years
delivering production systems on Dynamics 365/Dataverse and Power Platform
Strong
C#
for plugins/custom workflow activities;
TypeScript/React
for PCF;
Power Fx
for Canvas apps
Demonstrated experience customizing model-driven UI and implementing client scripting
Proven delivery of secure, reliable integrations using
Azure Functions/Logic Apps/Service Bus
and
REST/Graph APIs
Solid
ALM
expertise with Azure DevOps (repos, CI/CD pipelines, automated solution deployments)
Deep understanding of solution layering, dependencies, upgrades, and migrations
Advanced troubleshooting and performance tuning across client and server
Excellent stakeholder communication and documentation skills
Fluent English
(spoken and written)
Nice to Have
Virtual Tables, custom connectors, and event-driven patterns
Power Automate at scale (governance, error handling, retry policies)
Unit/integration testing for PCF and plugins; automated quality gates
Familiarity with licensing, governance, and DLP in the Power Platform
Microsoft certifications (e.g.,
PL-400
,
PL-600
,
MB-260
)
Experience in high-growth or multi-region deployments
About OneDome
OneDome is a UK-based
housing and fintech technology platform
building an
AI-powered platform
to simplify life’s biggest financial decisions — from buying a first home to building and protecting long-term wealth.
The platform brings together property discovery, mortgage origination, legal and transaction ser-vices, insurance, and financial planning into a single, end-to-end digital experience. OneDome’s flagship
HomeBuyer Service
reimagines home ownership as a retail-style product, bundling every-thing required to purchase a home into one transparent, fixed-price offering. Beyond home purchases, the platform supports customers across the full lifecycle of home ownership and personal finance.
OneDome operates at scale, working with a nationwide network of over 500 mortgage brokers and arranging approximately
$1.4 billion in mortgage volume per month
, positioning the company among the largest housing and mortgage platforms in the UK.
The company is
profitable
and has been recognised for rapid, capital-efficient growth, including being ranked the
4th fastest-growing fintech
and
17th fastest-growing technology company
by the Deloitte Fast 50 in 2025, and the 6th fastest-growing tech company by the
Sunday Times Tech 100
in 2026.
Backed by Channel 4 Ventures and family offices across the UK, Saudi Arabia, the United States, and Australia, OneDome is building the next generation
housing and fintech super-platform
, re-placing fragmented, manual processes with a modern, data-driven, AI-enabled consumer experience.
Salary: R70,000 – R80,000 / month
Location: Malta
About the Role
Are you an experienced Senior Backend Software Engineer ready for your next challenge? The Payments Engineering Area is hiring! Payments Engineering is responsible for building the best payment customer experience from payment pages perspective and improving the offering of different payment options across global brands and markets that we operate within. We are an international team with some of the best people in the industry! If you are passionate about the latest technologies and can handle company-critical responsibilities, then this is the role for you!
What You’ll Work On
Design, develop, and maintain scalable and reliable server-side applications using the .NET framework and related technologies.
Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand requirements and translate them into technical specifications.
Develop and implement efficient and secure RESTful APIs and microservices to support client applications and integrations.
Perform thorough testing and debugging of backend applications to ensure high quality and reliability.
Optimise application performance and scalability through code optimisations, caching strategies, and database optimisations.
Participate in code reviews to ensure code quality, adherence to architectural guidelines, and best practices.
What You Bring
Experience with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
Strong background in backend development, with experience in languages such as C#/.Net
Knowledge of NoSQL, PostgreSQL, SQL Server databases.
Experience in design and implementation of distributed systems that comprise of multiple domain-oriented services.
Understanding of front-end development technologies, including HTML, CSS, and JavaScript.
Familiarity with version control systems, preferably Git.
Familiarity with containerisation technologies like Docker and orchestration tools like Kubernetes.
Strong understanding of object-oriented programming (OOP) principles and design patterns.
Proficiency in SQL databases both in writing queries and optimising performance
Effective communication skills in English, both verbal and written, with the ability to work collaboratively in a team environment.
Stay updated with the latest trends, tools, and technologies in backend development and actively contribute to improving development processes and efficiency.
Nice to Have
Bachelor's degree in Computer Science, Information Technology, or a related field.
We don’t expect you to be an expert in all these technologies but would anticipate experience with some combined with a curiosity for others: etcd, Consul, Redis, Apache Kafka, RabbitMQ, gRPC, Orleans.
Benefits
Hybrid working model
Private health insurance
Life insurance
Wellness allowance
Home office set-up allowance
24 days annual holiday leave + additional days for public holidays falling on weekends
Flexible compensation benefits
Remote working from abroad options
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
Product Development at Betsson Group
Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together.
Ready to Apply?
If this sounds like your next step, please submit your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Malta
About the Role
Are you an experienced Backend Software Engineer ready for your next challenge? The Payments Engineering Area is hiring! Payments Engineering is responsible for building the best payment customer experience from payment pages perspective and improving the offering of different payment options across global brands and markets that we operate within. We are an international team with some of the best people in the industry! If you are passionate about the latest technologies and can handle company-critical responsibilities, then this is the role for you!
What You’ll Work On
Design, develop, and maintain scalable and reliable server-side applications using the .NET framework and related technologies.
Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand requirements and translate them into technical specifications.
Develop and implement efficient and secure RESTful APIs and microservices to support client applications and integrations.
Perform thorough testing and debugging of backend applications to ensure high quality and reliability.
Optimise application performance and scalability through code optimisations, caching strategies, and database optimisations.
Participate in code reviews to ensure code quality, adherence to architectural guidelines, and best practices.
What You Bring
Experience with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
Strong background in backend development, with experience in languages such as C#/.Net
Knowledge of NoSQL, PostgreSQL, SQL Server databases.
Experience in design and implementation of distributed systems that comprise of multiple domain-oriented services.
Understanding of front-end development technologies, including HTML, CSS, and JavaScript.
Familiarity with version control systems, preferably Git.
Familiarity with containerisation technologies like Docker and orchestration tools like Kubernetes.
Strong understanding of object-oriented programming (OOP) principles and design patterns.
Proficiency in SQL databases both in writing queries and optimising performance
Effective communication skills in English, both verbal and written, with the ability to work collaboratively in a team environment.
Stay updated with the latest trends, tools, and technologies in backend development and actively contribute to improving development processes and efficiency.
Nice to Have
Bachelor's degree in Computer Science, Information Technology, or a related field.
We don’t expect you to be an expert in all these technologies but would anticipate experience with some combined with a curiosity for others: etcd, Consul, Redis, Apache Kafka, RabbitMQ, gRPC, Orleans.
Benefits
Hybrid working model
Private health insurance
Life insurance
Wellness allowance
Home office set-up allowance
24 days annual holiday leave + additional days for public holidays falling on weekends
Flexible compensation benefits
Remote working from abroad options
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
Product Development at Betsson Group
Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together.
Ready to Apply?
If this sounds like your next step, please submit your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
As the Director of Partner Operations, you will lead the operational engine that powers our global partner ecosystem. You will be responsible for building and optimizing processes, tools, and programs that support all partner types—resell, referral, delivery, technology, MSP, and cloud marketplaces.
Удалённоwhile this is a remote role, we are seeking candidates based in the Pacific or Mountain time zones to support close collaboration with our West Coast channel leadership
Location: India
Job Overview
We are looking for an experienced
Windows Engineer
to manage and support enterprise Windows Server infrastructure, including Active Directory, DNS, DHCP, Group Policy, patching, virtualization, security, and high-availability environments. The role requires strong troubleshooting and
PowerShell automation
skills, with experience in VMware/Hyper-V and enterprise infrastructure operations.
• Key Responsibilities
• Install, configure, administer, and support Windows Server 2016/2019/2022/2025 environments.
• Manage Active Directory, DNS, DHCP, Group Policy, OU, users, groups, and computer accounts.
• Perform server builds, upgrades, migrations, hardening, and decommissioning.
• Manage Windows patching using tools such as WSUS, MECM/SCCM, or equivalent platforms.
• Troubleshoot OS, application, authentication, networking, performance, and system-level issues.
• Manage Microsoft Failover Clustering, Windows Server roles, and high-availability environments.
• Support VMware / Hyper-V virtualized Windows workloads.
• Perform system performance analysis and capacity optimization.
• Implement and maintain Windows security baselines and hardening standards.
• Troubleshoot authentication issues involving Kerberos, NTLM, LDAP, certificates, and domain connectivity.
• Manage Windows services, scheduled tasks, event logs, registry settings, and system configurations.
• Support backup, restore, disaster recovery, and business continuity activities.
• Automate repetitive administration tasks using PowerShell.
• Monitor infrastructure using enterprise monitoring and logging platforms.
• Participate in incident, problem, change, and request management processes.
• Prepare technical documentation, SOPs, knowledge articles, and infrastructure reports.
• Participate in 24x7 on-call / shift support, where required.
Required Technical Skills
Area Required Skills
Windows Server Windows Server 2016/2019/2022/2025
Active Directory AD DS, OU, Users, Groups, FSMO, Sites & Services
DNS/DHCP DNS zones, records, DHCP scopes, troubleshooting
Group Policy GPO creation, configuration, troubleshooting
PowerShell Scripting, automation, administration
Patching WSUS, SCCM/MECM or equivalent
Virtualization VMware vSphere and/or Microsoft Hyper-V
Security Windows hardening, security baselines, endpoint security
Networking TCP/IP, DNS, DHCP, VLANs, routing basics, firewall concepts
Monitoring Windows monitoring, event logs, performance counters
Backup/DR Backup, restore, replication and DR concepts
ITSM Incident, Problem, Change and Service Request management
Good to Have
• Microsoft Azure / Azure Virtual Machines
• Microsoft Entra ID / hybrid identity
• Microsoft Intune
• Microsoft Defender for Endpoint
• SCCM/MECM administration
• Windows Failover Clustering
• IIS administration
• Certificate Services / PKI
• VMware vCenter and ESXi
• Automation using PowerShell
• Experience with ServiceNow or other ITSM platforms
• Knowledge of enterprise monitoring tools such as SCOM, SolarWinds, Dynatrace, or equivalent
• Experience supporting large-scale data center environments
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in Bengaluru, India.
WHAT YOU'LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
Representative Projects
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
Nice to Have
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
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.
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