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.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (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

Your mission

Join Bitpanda as a Senior DevOps Engineer and take a leading role in shaping the next generation of our high-performance, cloud-native infrastructure that powers the future of digital finance. As a senior member of the team, you will drive architectural decisions, mentor and guide junior engineers, and ensure our platforms remain secure, scalable, and resilient. You’ll work with a motivated group of highly skilled engineers, contributing your experience while continuing to grow in a cutting-edge, fast-moving environment.

What You’ll Do

• Design, develop, and evolve our AWS-based infrastructure using best-in-class tooling, including Terraform/CloudFormation and ArgoCD, leading the operation and optimisation of our container orchestration platforms, with a focus on multi-cluster networking and service-to-service communication.
• Take ownership of our cross-cluster Istio service mesh—implementing policies, improving traffic management, and enhancing mesh-level networking performance and security
• Monitor, optimise, and automate systems to ensure high availability, strong security posture, and superior performance using Datadog, Opsgenie, and AI-powered tooling
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Mentor junior and mid-level engineers, promote engineering excellence, and contribute to team knowledge sharing and process improvements.

Who You Are

• 5+ years of hands-on experience building and managing AWS infrastructure (EC2, VPC, IAM, RDS, KMS, and related services).
• Strong expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation).
• Advanced understanding of cloud networking, including routing, load balancing, VPC design, hybrid connectivity, and service-mesh-based networking - familiarity with multi-cluster service mesh (Istio) and related capabilities is preferred
• Proficiency in CI/CD systems, with deep experience in GitLab CI/CD and working knowledge of ArgoCD.
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

** We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

What You’ll Do

• Design, develop and evolve our cloud-based messaging systems with a focus on scaling and automation
• Take ownership of the Confluent Kafka deployment - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications
• Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Promote engineering excellence and contribute to team knowledge sharing and process improvements.

Who You Are

• 3+ years of hands-on experience building and managing kafka deployments, experience with Confluent kafka is a plus.
• Solid experience in AWS-based infrastructure (EC2, VPC, IAM, RDS, KMS, etc.).
• Expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform).
• (Nice to have) Experience with other messaging solutions
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

What You’ll Do

• Design, develop and evolve our AWS-based database deployments with a focus on scaling and automation
• Take ownership of database performance - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications
• Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible
• Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns with best practices and long-term platform goals.
• Promote engineering excellence and contribute to team knowledge sharing and process improvements.

Who You Are

• 3+ years of hands-on experience building and managing database infrastructure in AWS (Aurora MySQl, Aurora Postgres, DynamoDB, Lambda, KMS, IAM and related services).
• Deep understanding of SQL, as well as MySQL and/or PostgresQL specific features
• Ability to design and implement lightweight scripts / glue code in bash, python or go
• Additional experience with Metabase, Opensearch or MongoDB Atlas is beneficial.
• Expertise in Docker, Kubernetes, and Infrastructure as Code (Terraform).
• Proven experience deploying, maintaining, and scaling critical cloud infrastructure components in production environments.

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.

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Nextjs for our front-end. Gitlab is used as a version control tool, issue tracker and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, flexible paid time off, and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, Github, Jenkins or similar).

Nice to have

• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Reporting line: Engineering Team Leader
• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser Interview
6. Executive Interview with VP of Engineering
7. Offer and Prior employment verification check

Your mission

As a software engineer within Bitpanda’s Trade Hub, you will help design, build and scale the core systems that power our trading ecosystem end-to-end — from pricing, execution and portfolio lifecycle, to asset infrastructure, hedging and prime services. You will work on highly available, low-latency and financially critical back-end services that handle order flow, market data, risk, balances, assets and exposure management at scale. Your work will directly impact how customers trade, how liquidity is managed, how portfolios are valued, and how Bitpanda operates safely and efficiently across markets. You will collaborate closely with product, quantitative, risk and trading stakeholders to deliver resilient, high-performance systems that form the backbone of our trading platform.

As a bonus, you get work on new age tech projects, tackling architectural and conceptual challenges, integrating with 3rd party vendors and interface and collaborate with many other Engineers and teams within Bitpanda.

What you’ll do

• Design and develop scalable, resilient, message-driven services using Java
• Write clean and future proof code with 80% unit test test coverage, end to end and integration testing before deploying into event driven microservices architecture
• Optimise payment modules/services to ensure reliability, maintainability, performance and scalability using tools like 
• Drive innovation by researching and adopting the latest trends and technologies in backend development, ensuring our applications remain cutting-edge.

Who you are

• Knowledge and experience of software development using modern frameworks such as Spring Boot, with Java as your main programming language
• Understanding of relational and non-relational databases (bonus points for experience with Postgres and MongoDB)
• Experience creating and maintaining publicly available REST APIs with a keen understanding of performance optimisation and scalability
• Practical knowledge in using message-oriented middleware as we’re working with event driven microservices (ideally Apache Kafka or ZeroMQ)
• Understanding of CI/CD: familiarity with AWS and Kubernetes is ideal but any public cloud experience is fine

**We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.

You Mission

As a Software Engineer in the Financial Crime Prevention (FCP) team at Bitpanda, you will build the systems that keep Bitpanda safe, secure, and compliant at scale. You’ll work on high-throughput, low-latency services that detect, prevent, and respond to suspicious activity across payments, trading, and user accounts. Your work will directly impact the integrity of our platform and protect millions of users from financial crime, fraud, and compliance risk.

What you'll do

• Design and operate scalable, event-driven backend services using Java 25, Micronaut/Spring, and Kafka to power real-time detection and prevention workflows
• Build and maintain core FCP systems, including transaction monitoring, risk scoring, alerting, and reporting pipelines
• Ensure production-grade reliability with ≥80% unit test coverage, integration and end-to-end tests, and leverage AI-assisted code review tools like Claude Code
• Integrate with internal and external systems, including payment providers, trading services, and compliance tools, handling edge cases and high-throughput data streams
• Continuously improve system performance, observability, and scalability while meeting strict compliance and regulatory requirements

Who you are

• Strong backend engineering experience with Java (Micronaut or Spring) and distributed systems fundamentals (consistency, messaging, failure modes, concurrency)
• Experience building systems where correctness, reliability, and low-latency decision-making are critical
• Skilled in testing strategies, ensuring correctness at scale, and leveraging tools like Claude Code for code quality and review efficiency
• Familiar with event-driven architectures, streaming platforms (Kafka), and cloud-native environments (AWS, Kubernetes)
• Motivated to solve complex financial crime problems and build infrastructure that protects users and the business at scale

Your mission

As a senior engineer within Bitpanda’s Trade Hub, you will help design, build and scale the core systems that power our trading ecosystem end-to-end — from pricing, execution and portfolio lifecycle, to asset infrastructure, hedging and prime services. You will work on highly available, low-latency and financially critical back-end services that handle order flow, market data, risk, balances, assets and exposure management at scale. Your work will directly impact how customers trade, how liquidity is managed, how portfolios are valued, and how Bitpanda operates safely and efficiently across markets. You will collaborate closely with product, quantitative, risk and trading stakeholders to deliver resilient, high-performance systems that form the backbone of our trading platform.

What you’ll do

• Design and develop scalable, resilient, message-driven services using Java
• Write clean and future proof code with 80% unit test test coverage, end to end and integration testing before deploying into event driven microservices architecture
• Optimise payment modules/services to ensure reliability, maintainability, performance and scalability 
• Drive innovation by researching and adopting the latest trends and technologies in backend development, ensuring our applications remain cutting-edge
• Be a technical mentor for junior developers, providing guidance and support to help them grow and excel in their careers

Who you are

• Advanced knowledge and experience of software development using modern frameworks such as Spring Boot, with Java as your main programming language
• Good understanding of relational and non-relational databases (bonus points for experience with Postgres and MongoDB)
• Experience creating and maintaining publicly available REST APIs with a keen understanding of performance optimisation and scalability
• Practical knowledge in using message-oriented middleware as we’re working with event driven microservices (ideally Apache Kafka or ZeroMQ)
• Good understanding of CI/CD: familiarity with AWS and Kubernetes is ideal but any public cloud experience is fine

**We offer a comprehensive relocation package to support candidates who are moving to join our team. Our goal is to make your transition as smooth as possible, and we provide assistance throughout the whole process.