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.

About the role

You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.

Depending on your strengths, you'll work in one of these areas:

• Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
• Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
• Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
• Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.

Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.

How we build

We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.

Requirements:

• Strong backend fundamentals and production-grade coding, preferably Go.
• Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
• Clear English communication, collaborative and self-directed.
• Bias toward action and ownership.

What would make you stand out

• Deep knowledge of EKS, GKE, or AKS internals.
• Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
• Kubernetes or cloud-native OSS contributions.
• Cloud storage depth - block storage, CSI, volume management, filesystem internals.
• Container runtime experience (CRI-O, runc, containerd) or CRIU.
• Experience with AI coding agents and agentic development workflows.
• Comfort building where there's no playbook.

Responsibilities:

• Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
• Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
• Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
• Shape public and internal APIs.
• Leverage and improve AI-powered development workflows.
• Participate in design reviews, code reviews, on-call, and customer deep-dives.

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

Why Kimchi?

Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.

Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.

Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.

Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.

What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.

Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.

Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.

The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.

Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.

What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:

• GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
• A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
• Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.

Requirements:

• You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
• Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
• You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
• You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.

Responsibilities:

• Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
• Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
• Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
• Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
• Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.

What success looks like (after 6 months):

• You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
• You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
• You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
• You've formed strong opinions about where our harness is load-bearing and where it's dead weight.

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.

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.

*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

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.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• 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.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

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.

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

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

About the Team + Role: 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Bitstamp made history in 2011 as the world’s first regulated crypto exchange. Today, we are entering an ambitious new chapter as part of the Robinhood family. The Cloud Engineering Team is at the heart of this transformation, owning the AWS foothold that enables our global expansion and ensures the world’s longest-running exchange remains unshakeable.

We are currently bridging the gap between our legacy monolith architecture and a modern, high-velocity ecosystem. This team doesn't just "run" the platform; we are the architects of its modernization, moving toward full containerization and fully automated operational responsibilities to deliver at "Robinhood speed."

As a Senior Backend Engineer integrated into the Cloud Engineering team, you will be a key driver of our modernization strategy. You aren't just writing features; you are rewriting the rules of how our core platform operates. You will take ownership of the code changes necessary to decompose our monolith into a containerized, scalable environment while ensuring seamless integration with Robinhood’s global systems.

This role is based in our Ljubljana office(s), with in-person attendance expected at least  3days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

Applications for this role will be accepted through April 27th, 2026.

Requires participation in an on-call rotation to support business needs.

What You’ll Do:

• Containerize the Core: Lead the effort to containerize our monolith application, making the critical code adjustments required to modernize our deployment and scaling workflows.
• Robinhood Ecosystem Integration: Manage and execute high-priority integration projects that align Bitstamp’s backend with Robinhood’s global infrastructure.
• Evolve the Stack: Identify and implement backend improvements that enhance platform performance and reduce operational toil through intelligent automation (with and without AI).
• End-to-End Ownership: Take full responsibility for complex projects from design to deployment, working independently with limited supervision and making meaningful decisions to improve system effectiveness.
• Cross-Functional Influence: Collaborate with teams across the organization to interpret complex technical requirements and influence processes that enhance our overall engineering velocity.
• Maintain Platform Integrity: Participate in the on-call rotation, applying your deep knowledge of the system to solve difficult problems and ensure 24/7 reliability.

What You Bring:

• Applied Expertise: 4–5+ years of relevant experience in backend engineering, with a strong background in containerization (Docker, Kubernetes) and modernizing legacy architectures.
• Technical Depth: Advanced knowledge of backend disciplines and practical experience with AWS services (ECS, EC2, Aurora, DynamoDB).
• Proven Autonomy: An experienced contributor who has managed entire projects or processes, coordinating across different job areas to solve difficult, multi-faceted problems.
• Operational Pragmatism: Someone who thrives on the challenge of taking a stable system and "paving the road" toward automation while balancing necessary day-to-day operational tasks.
• Collaboration & Influence: Strong communication skills to guide and coach other employees, and the ability to influence stakeholders outside of your immediate department to reach technical agreements.
• Project Mastery: Practical knowledge of project management and the ability to manage complex administrative and technical logistics within a fast-moving organization.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact and bonus programs
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Threat Intelligence team reduces organizational risk by rapidly detecting, understanding, and disrupting adversary activity. We research criminal ecosystems targeting our brand, customers, and infrastructure, and work with partners to translate that intelligence into detections, controls, and customer protections. Our work enables Security, Engineering, Trust & Safety, and executive leaders to focus resources where risk is highest. We operate with a strong sense of ownership, clear communication, and a commitment to protecting customers so they can confidently participate in the financial system!

As a Staff Security Analyst, Threat Intelligence, you will operate at the forefront of advanced and evolving threats targeting Robinhood and our customers. You will actively hunt for emerging phishing, scam, impersonation, fraud, and infrastructure abuse campaigns while building scalable systems that turn intelligence into action. This role combines hands-on investigation, program design, mentorship, and stakeholder engagement. Your work will shape proactive controls, influence product and security decisions, and strengthen our overall threat defense strategy.

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Proactively hunt and map criminal ecosystems targeting Robinhood and its customers, then translate intelligence into scalable systems and coordinated defenses that disrupt adversaries before they cause harm.
• Build and operationalize a comprehensive “Universe of Threats” by identifying, tracking, and prioritizing adversaries across phishing, scams, impersonation, fraud, and infrastructure abuse.
• Establish and mature a proactive threat intelligence lifecycle by developing industry partnerships, collaborating with trusted peers and federal authorities, and cultivating online personas to generate early warning capabilities that protect Robinhood’s business operations.
• Investigate attacker infrastructure across domains, DNS, certificate transparency logs, cloud providers, and telecom platforms, and convert findings into concrete detections, controls, and customer protections.
• Coordinate threat actor infrastructure takedowns with hosting providers, domain registrars, cloud platforms, and other infrastructure partners to disrupt adversary operations at scale.
• Design and automate intelligence workflows using OSINT tooling, enrichment pipelines, data analysis tools, and case management systems to scale analysis and reporting.
• Partner directly with Detection & Response, Automation, Customer Trust & Safety (Fraud and Financial Crimes), Security Engineering, Corporate Security, Risk, and executive leaders to prioritize threats based on measurable business risk.

What you bring

• 8–12+ years of total experience, including 3–5+ years operating at a senior or staff-level scope in threat intelligence, brand protection, or cyber investigations.
• Hands-on experience tracking criminal ecosystems tied to phishing, scams, impersonation, fraud, and infrastructure abuse, and the ability to move from isolated indicators to campaign- and actor-level analysis.
• Deep familiarity with domain registration patterns, DNS and certificate transparency analysis, cloud and hosting abuse across providers (e.g., AWS, GCP, Azure, VPS), and attacker monetization methods.
• Experience using OSINT tooling, SQL, Python, notebooks, SIEM or SOAR platforms, OpenCTI, and case management systems to analyze data and automate workflows.
• Ability to translate complex technical threats into clear business risk for technical teams and executive audiences through strong written and verbal communication.
• Experience mentoring others or leading initiatives across teams, with a high level of accountability and sound risk judgment in ambiguous situations.

Nice to have

• Experience with crypto investigations or on-chain analysis.
• Background in highly regulated industries such as fintech, financial services, payments, crypto, healthcare, or government.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Red Team team’s mission is to proactively identify and simulate real-world threats against Robinhood’s platforms, properties, and people. Through red teaming and adversarial simulations, the team evaluates security controls, uncovers vulnerabilities, and helps continuously strengthen Robinhood’s overall security posture in close partnership with Detection & Response, Physical Security, and Engineering.

As a Staff Offensive Security Engineer, you will take a hands-on role in designing and executing stealthy adversarial simulations to validate assumptions and uncover gaps in detection and response. You’ll leverage threat modeling, penetration testing, and research-driven techniques to emulate sophisticated attackers, while collaborating cross-functionally to improve defenses and shape more secure systems.

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Plan and execute red team operations, adversarial simulations, and penetration tests across applications, infrastructure, networks, offices, and internal processes.
• Perform threat modeling for new and existing services, clearly articulating security risks and tradeoffs to engineering and risk stakeholders.
• Conduct vulnerability research, exploit development, and testing using both custom tooling and public proof-of-concept techniques.
• Partner with detection and response teams to simulate realistic attack scenarios and evaluate monitoring and incident response readiness.
• Write and maintain tooling to automate and scale offensive security assessments.
• Serve as a subject matter expert by documenting findings, recommending remediation strategies, and supporting teams through fixes.
• Mentor teammates and contribute to shared knowledge through internal documentation, presentations, and external talks or blog posts.

What you bring

• 8+ years of hands-on experience in red teaming, offensive security, or penetration testing.
• Demonstrated experience mentoring or guiding other security engineers.
• Strong understanding of threat modeling methodologies and the MITRE ATT&CK framework.
• Experience testing modern environments, including cloud platforms (AWS, GCP), containerized systems (Docker, Kubernetes), CI pipelines, and identity systems.
• Working knowledge of defensive security tools such as IDS/IPS, EDR, packet capture, and network monitoring, including common evasion techniques.
• Proficiency in Python, Go, or JavaScript for exploit development, tooling, or automation.
• Clear written and verbal communication skills, with the ability to explain technical findings to both engineers and senior leaders.
• Experience collaborating with distributed teams and documenting work through tools such as Slack, Jira, GitHub, and email.

Bonus points:

• Experience working in financial technology or regulated environments.
• Prior experience serving as a technical lead on security initiatives.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.

Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.

Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

What You’ll Do: Build and Scale DevRev’s Platform

• Engage with internal customers around cloud native application and infrastructure design to ensure services are built with scalability, cost optimization and security as primary considerations
• Design and support infrastructure as code solutions using OpenTofu and other automation frameworks.
• Manage Kubernetes clusters at scale, focusing on reliability, security, and performance.
• Own cost optimization across cloud environments, implementing strategies to balance performance with efficiency.
• Contribute to the evolution of DevRev’s multi-cloud and multi-tenant strategy, ensuring compliance and scalability.
• Mentor engineers, teach best practices, and influence DevRev’s platform architecture decisions.

What You’ll Need: Strong Foundations in Cloud and Platform Engineering

• 10 years in overall technical roles with at least 5+ years of experience in platform, infrastructure, or DevOps roles.
• Experience in leadership or mentor roles.
• Deep knowledge of Terraform/OpenTou for managing infrastructure in a zero console environment.
• Hands-on experience with Kubernetes in production, including upgrades, scaling, and troubleshooting.
• Practical expertise with Argo CD or similar GitOps tools for continuous delivery.
• Proven track record of cost optimization in cloud-native environments (AWS, GCP, or Azure).
• Strong understanding of CI/CD, monitoring, observability, and incident management.
• Proficiency in at least one programming or scripting language (Go, Python, or similar).
• BS/MS in Computer Science or related field, or equivalent professional experience.

Bonus Points If You Have: Expanding the Impact

• Experience with service mesh (Istio, Linkerd) for secure service-to-service communication.
• Background in multi-cloud operations and hybrid deployments.
• Exposure to compliance-driven environments (SOC 2, HIPAA, ISO 27001, FedRAMP).
• Contributions to open-source communities in Kubernetes, Argo CD, or Terraform.
• Familiarity with advanced cloud cost management tools and FinOps practices.

Why Join DevRev? Be Part of the AI-SaaS Revolution

Impactful Work: Shape an AI-native platform “reimagining SaaS for the AI Era”.

Cutting-Edge Tech: Innovative culture valuing platform thinking while delivering high quality conversational experiences and agentic workflows.

Growth & Problem Solving: Learn continuously while solving complex AI and distributed systems challenges.

Company Vision: Join a dynamic, growing company with a bold vision and make a visible impact.

DevRev is an equal opportunity employer committed to diversity and inclusion.

About the opportunity

We are looking for a passionate Senior Software Engineer to join Veza’s Graph team. You will play a key role in designing, improving, and maintaining the robust and scalable code behind the Veza Access Graph, collaborating closely with cross-functional teams to shape the future of our products and deliver exceptional identity and access management experiences to our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies! 

You Will:  

• Develop, maintain and scale Graph features to directly and indirectly support actionable customer intelligence across various products.
• Drive the performance, scalability, and reliability of the backend services and APIs for our platform.
• Collaborate with product managers, other software engineers, and security experts to build product features that meet business objectives and security standards.
• Continuously optimize and improve your work through code and design reviews, testing, and refactoring.
• Implement logging, monitoring, and auditing capabilities to ensure visibility and compliance with regulatory requirements and operational health metrics.
• Stay current with industry trends and emerging technologies across different fields and leverage them to drive innovation and improve our platform.

You Have:

• Education:
• A bachelor's or master's degree in computer science, engineering, or a related field.
• Experience:
• Proven experience (minimum 5+ years) in professional backend software development with a focus on data modeling, data management, identity, security, or related areas.
• A history with the development of databases, storage layers, query engines or adjacent tooling.
• Experience with complex relational data models in OLAP systems and/or graph database systems such as Neo4j.
• Deep knowledge of relational algebra and graph algorithms.
• A familiarity with caching mechanisms and distributed systems.
• A proven ability to develop and test code in one or more modern backend programming languages such as Golang or Kotlin.
• Experience designing and implementing RESTful APIs in microservice architectures.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.

You Are:

• An excellent problem-solver with high attention to detail.
• Someone who can work both independently and collaboratively in a fast-paced environment.
• A strong communicator with the ability to relate technical concepts to both technical and non-technical stakeholders.
• A mentor who helps others become the best versions of themselves.
• A pleasure to work with!

About the opportunity:

We are looking for a passionate Senior Software Engineer, Backend who will play a key role in designing, developing, and maintaining product features of our IAM platform. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies in the field of identity and access management.

You will:  

• Design, develop, and maintain backend services and APIs for our IAM platform, ensuring high performance, scalability, and reliability.
• Collaborate with product managers, other software engineers, and security experts to build product features that meet business objectives and security standards.
• Develop and maintain Access Intelligence features that curate the actionable insights from customer’s environments.
• Develop and maintain identity lifecycle management features, including user provisioning, de-provisioning, and access control policies.
• Implement logging, monitoring, and auditing capabilities to ensure visibility and compliance with regulatory requirements.
• Continuously optimize and improve the performance, security, and scalability of the IAM platform through code reviews, testing, and refactoring.
• Stay current with industry trends and emerging technologies in identity and access management, and leverage them to drive innovation and improve our platform.

You have:

• Education:
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience:
• Proven 7+yrs in backend software development, with a focus on identity and access management, security, or related areas.
• Strong proficiency in one or more programming languages, such as Golang, Java.
• Experience designing and implementing RESTful APIs and microservices architectures.
• Solid understanding of authentication and authorization protocols, standards, and best practices.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features.
• Others: 
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
• Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems.
• Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.

We are looking for a passionate Senior Software Engineer, Backend who will play a key role in designing, developing, and maintaining product features of Veza's flagship offering, Access Security. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies in the field of Identity and Access Management.

You have:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience: Proven 5+yrs in backend software development, with a focus on APIs, Microservices Architecture or related areas
• Strong proficiency in one or more programming languages, such as Golang, Java.
• Experience designing and implementing RESTful APIs and Microservices Architectures.
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features.
• Innate love for Distributed Systems (designing, developing, debugging, monitoring)

Others:

• Experience with Containerization and Orchestration technologies, such as Docker and Kubernetes, is a plus.
• Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and scaling systems. 
• Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
• Strong sense of Product feature Ownership – from Ideation to Deployment

About the opportunity

We are looking for a passionate Senior Software Engineer, Backend who will play a key role in designing, developing, and maintaining product features of our IAM platform. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. This is an exciting opportunity to contribute to the growth and success of a high-impact startup while working on cutting-edge technologies in the field of identity and access management.

You Will:  

• Design, develop, and maintain backend services and APIs for our IAM platform, ensuring high performance, scalability, and reliability.
• Collaborate with product managers, other software engineers, and security experts to build product features that meet business objectives and security standards.
• Develop and maintain Access Intelligence features that curate the actionable insights from customer’s environments.
• Develop and maintain identity lifecycle management features, including user provisioning, de-provisioning, and access control policies.
• Implement logging, monitoring, and auditing capabilities to ensure visibility and compliance with regulatory requirements.
• Continuously optimize and improve the performance, security, and scalability of the IAM platform through code reviews, testing, and refactoring.
• Stay current with industry trends and emerging technologies in identity and access management, and leverage them to drive innovation and improve our platform.

You Have:

• Education:
  • A bachelor's or master's degree in computer science, engineering, or a related field.
• Experience:
  • Proven 4+yrs in backend software development, with a focus on identity and access management, security, or related areas.
  • Strong proficiency in one or more programming languages, such as Golang, Java.
  • Experience designing and implementing RESTful APIs and microservices architectures.
  • Solid understanding of authentication and authorization protocols, standards, and best practices.
  • Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features.
• Others:
  • Experience with containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
  • Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems.
  • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.