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.

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

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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 Design award winner for inclusivity for 2025.

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

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

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.

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.

Job Description:

The Applied AI Engineering team at DevRev is responsible for architecting and building solutions that deliver the optimal experience for our customers. As customers progress through their DevRev journey, they may require integrations with enterprise systems, workflow automation, or custom enhancements to the platform.

As a Junior Applied AI Engineer, you will work alongside experienced engineers and cross-functional teams to help design and implement integrations, automations, and AI-driven solutions. You will gain hands-on experience applying AI/ML techniques, coding, and building scalable solutions that enhance the customer experience, while receiving mentorship to grow your technical and problem-solving skills.

Objectives:

• Assist in designing, developing, and implementing integrations, automations, and customizations across DevRev and customers’ workflows.
• Apply AI techniques, including Generative AI and prompt engineering, under guidance from senior team members.
• Conduct basic data analysis, write SQL queries, and help build dashboards to share insights.
• Participate in cross-functional communication to ensure requirements and feedback loops are maintained.
• Learn new tools and assist in guiding customers through critical workflows.
  
  

Ideal Candidate Qualifications:

• Degree in Software Engineering or equivalent experience (recent graduates welcome).
• Hands-on coding experience in TypeScript/JavaScript, Python, APIs, Webhooks, and SQL.
• Basic understanding of AI/ML concepts; familiarity with Generative AI and LLMs is a plus.
• Strong communication skills in English.
• Result-oriented, eager to learn, and comfortable working in a fast-paced environment.
• Passion for challenging work and growing as an engineer.

Nice to Have:

Exposure to vector databases, data embeddings, NodeJS, or Golang.Interest in customer-facing solutions and workflow automation.

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.

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 App of the Day.

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

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

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.

About the Role:

The defense and intel pillar is looking for a full-stack software engineer who will be responsible for building systems and integrating with our federal customers. In this role, you will work with multiple internal teams to build our next generation global monitoring application that will drive our next decade of growth.

Your work will be highly visible and will directly impact the ability of customers to get faster access to Planet’s unprecedented datasets. The ideal candidate would have full-stack experience, with experience developing backend services, frontend applications, and data solutions.

This is a full-time, hybrid role which will require you to work from our Haarlem or Ljubljana office 3 days per week.

Impact You’ll Own:

• Participate in the entire engineering lifecycle, from concept to implementation 
• Ownership of the quality and availability of mission systems
• Contribute to the improvement of our architecture, infrastructure, and processes 

What You Bring:

• 6+ years of relevant industry experience
• Bachelor’s degree in Computer Science or a relevant field
• Fluency in Golang, Python, Postgresql, & React or related technologies
• Full stack application development experience (Database, Services, Web)
• Experience building frontend applications, preferably in React
• Experience with maintaining infrastructure-in-code
• Experience with logging, alerting, and monitoring tools to support system quality

What Makes You Stand Out:

• Ability to learn new technologies quickly and adjust on the fly to customer needs
• Experience building systems with many integrations
• Experience with geospatial technologies and data

Application Deadline:

July 13, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

This is a work-from-office / In-Office role based in our Hyderabad, India location.

Plume develops and deploys cloud based control planes with scale to manage tens of millions of customer homes through some of the world’s largest Internet Service Providers. Our cloud applications include WiFi network management and optimization, device access control, network provisioning, IoT security, and end customer user interaction through mobile apps. 

The Opportunity:

Plume is hiring a security engineer to join the security team to help protect and drive the Plume mission. As a highly visible and dynamic organization, we must value and guard against damage to our internal information, our platforms, and our reputation and brand. Finally, it is paramount that we defend against loss of control or confidence in our systems, to guarantee the highest probability of success.

As a Sr. Security Vulnerability Engineer, you will focus on the technologies that ensure our networks and systems are up to industry and Plume security standards. This role will partner with various engineering, IT and stakeholder groups across Plume to ensure that the technologies and systems we build in-house or purchase are protected in a secure way that minimizes risk.

What you will do:

1. Establish a process to detect, track, prioritize, and report vulnerabilities on organizational information systems
2. Own End to End Vulnerability program, move the area into SOAR as needed.
3. Coordinate with SOC/MSSP on vulnerability triage and detection rules/alerts, coordinate mitigation efforts, and report progress
4. Identify critical flaws in applications and systems that cyber attackers could exploit
5. Conduct vulnerability assessments for networks, applications and operating systems
6. Conduct network security audits and scanning on a predetermined basis
7. Use Crowdstrike, DAST, SAST, Rapid7 to pinpoint vulnerabilities and reduce time-consuming tasks
8. Use refinement techniques to gain understanding to reduce false positives.
9. Compile and track vulnerabilities over time for metrics purposes
10. Serve as advisor to engineering and dev teams in security best practices and design.
11. Work with security and IT teams to identify threats and problem areas and create stronger and safer software and application deployments across Plume, measuring decreased risk and prevalence of issues.

Who you are: 

• Must be a Senior level person and have HANDS-ON experience as the person responsible for overseeing vulnerability Programs
• Bachelor's degree in Information Security, Computer Science or related field or equivalent work experience
• 5+ years of professional experience in vulnerability management with an education in security or other STEM discipline; 
• Experience with either Crowdstrike, Rapid7, other EDR , MDM, XDR or SIEM
• Experience with scripting in Python, Shell, Go, Javascript and ability to read APIs
• Expertise with Mac and Linux operating systems
• Understand AWS and GCP cloud resource vulnerabilities.
• Strong communication, written, presentation and interpersonal skills
• Proven ability to work unsupervised, exercise leadership, and influence change.
• You operate effectively across teams and disciplines even in highly ambiguous situations with a rack record of getting things done quickly and with quality

Full-time position
Hybrid role, 3 days a week in our Ljubljana, Slovenia office. 

Life at Plume

At Plume, we believe that technology isn't about moving faster; it's about making life’s moments better. Which is why we’ve built the world's first and only open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at a massive scale.

We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. 

With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.

Senior Technical Program Manager

We're looking for a Senior Technical Program Manager to take the wheel on some of our most exciting and high-impact initiatives - spanning automation, AI, and CI/CD. You'll be the connective tissue across engineering teams, making sure the right things get built, shipped, and measured.

This isn't a role for someone who likes to stay in the background. You'll drive clarity in ambiguous situations, call out blockers before they become fires, and help teams move faster without cutting corners.

Responsibilities

Program Management & Execution

• Own end-to-end planning, tracking, and delivery of programs across automation, AI, and CI/CD domains.
• Define and maintain program roadmaps, milestones, dependencies, and success metrics.
• Run crisp, efficient rituals (standups, reviews, retrospectives) that actually move things forward.
• Proactively surface risks and drive mitigation plans before issues escalate.

CI/CD & Automation

• Partner with engineering teams to track and accelerate initiatives that improve CI/CD pipelines, release velocity, and deployment reliability.
• Champion automation-first thinking across the SDLC — from testing and build pipelines to monitoring and incident response.
• Measure and report on pipeline health, lead time, and deployment frequency.

AI Initiatives

• Manage programs introducing AI-driven tools and workflows into engineering processes.
• Track adoption and impact of AI-enabled development tools and automation frameworks.
• Coordinate cross-team integration of AI technologies into engineering platforms.

Cross-Functional Leadership

• Serve as the primary point of coordination across engineering, product, SRE, and leadership stakeholders.
• Build strong working relationships across time zones and disciplines — you know how to get alignment without being the bottleneck.
• Communicate program status clearly and confidently to both technical and non-technical audiences.
• Drive a culture of accountability, transparency, and continuous improvement.

Qualifications

• 5+ years of experience in technical program management, with a track record of delivering complex, cross-functional programs.
• Deep Jira expertise, including project configuration, custom workflows, dashboards, and advanced JQL querying, with the ability to leverage Jira data (velocity trends, cycle time, sprint burndown) to drive decisions and proactively identify risks such as scope creep.
• Proven experience driving end-to-end Agile delivery for technical programs, including facilitating sprint planning (capacity planning, backlog refinement, story estimation), daily stand-ups, sprint reviews, and retrospectives that translate into measurable improvements across automation, AI, and CI/CD initiatives.
• Excellent written and verbal communication skills in English, with the ability to adapt messaging appropriately for different audiences, from senior executives to technical stakeholders such as staff engineers.
• Strong project management skills with the ability to bring structure and clarity to complex initiatives, maintain a high level of attention to detail, and consistently deliver outcomes within defined timelines.

Bonus points if you have:

• Experience in SaaS, networking, or connected devices.
• Familiarity with agile and scaled agile frameworks.
• Background working across globally distributed teams.
• Strong grasp of CI/CD concepts, DevOps practices, and the software development lifecycle.
• Hands-on experience managing AI or data-driven initiatives (you don't need to write the models, but you need to understand the landscape).

Why Plume

• Work on technology that reaches millions of real people in their homes every day.
• Hybrid flexibility — we believe in in-person collaboration and personal autonomy.
• A culture that values directness, curiosity, and getting things done.
• Competitive compensation, equity, and benefits.

About the Role: 

As a Senior Software Engineer on the Calibration and Validation (CalVal) team, you will be a key contributor to the integrity and evolution of our geometric models. You will design and implement the automated, scalable processes required to ensure our products consistently exceed rigorous geometric specifications and SLAs. You will develop photogrammetric models, error budgets, and calibration concepts for our high-resolution and next-generation monitoring programs, ensuring spatial integrity across diverse fleets. Additionally, you will drive ongoing performance characterization and serve as a lead investigator for complex image quality issues—troubleshooting sensor models and geometric anomalies to architect the long-term fixes that maintain Planet's high standard of spatial data.

This is a full-time, remote position based in Slovenia. If located near an office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Perform ongoing space imaging operations, geometric calibration activities and performance characterization
• Design and implement automated scalable processes to calibrate hundreds to satellites to ensure that our products meet and exceed specifications and SLAs
• Collaborate within a cross functional team to develop performance models, error budgets and calibration concepts for new very high resolution constellation
• Troubleshoot geometric image quality issues and developing long-term mitigations and fixes

What You Bring:

• 10+ years of industry experience with statistical processing and analysis techniques of large sets of measurement data
• Bachelor’s degree in Photogrammetry, Engineering, Physics, or Mathematics, relevant to geometric characterization of space imaging platforms
• Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively
• Understanding of end-to-end image processing chain – from sensor electronics and image ancillary data to geometric characterization
• Passion for Programming, Photography, Remote Sensing, Earth Sciences, and Geography
• Extensive experience leveraging scientific computing using Python in a Unix/Linux environment
• Knowledge of how to scale code with cloud computing resources, e.g. AWS or GCP
• Practical experience in solving problems by exploiting large cloud-based datasets

What Makes You Stand Out:

• 5+ years remote sensing experience + track record of software automation of analysis of imagery/maps
• Master’s degree or PhD in a relevant scientific/engineering field
• Hands-on experience with calibrating and operating very high resolution optical satellites
• Familiarity with design and construction of imaging/capture/camera hardware
• Active contribution to open source projects

Application Deadline:

June 11, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE