The Wire Team plays a pivotal, yet behind-the-scenes, role at CAST AI. While they may not directly manage the products that customers purchase, the value they create is indispensable for making all of CAST AI's offerings functional and user-friendly.
The team develops a wide array of user-facing features that contribute to a fully realized platform. This includes designing robust authorization and authentication flows, managing user and organization accounts, as well as implementing notifications and audit systems, among other tasks. Furthermore, they create frameworks and tools that enable other internal teams to seamlessly incorporate these capabilities into their own products.
In addition to these tasks, the Wire Team is also responsible for implementing enterprise-level Single Sign-On (SSO) integrations as a self-service feature. They work on integrating billing systems with various cloud marketplaces and oversee the management of platform entitlements.
In essence, the Wire Team's efforts are crucial to the very existence of our platform. Their mission is to elevate the user experience, regardless of whether the customer is a small startup or a large enterprise.
How Do We Operate? At CAST AI, we specifically seek out Software Engineers rather than Software Developers. This distinction is not merely semantic; it underscores a profound difference in responsibilities and expectations. Let's delve into what sets the two apart.
A Software Engineer is responsible for overseeing the entire lifecycle of a system, starting from its conceptual genesis to its continuous delivery of value to customers. When a high-value feature is identified and properly prioritized, an engineer takes ownership. The task entails not just coding but also meticulously reviewing the technical architecture, design, and feasibility of the feature. Beyond functional aspects, we pay heed to:
Testability Adaptability Performance and Scalability Deployment and Compatibility Debugging and Operational Management. Throughout this comprehensive process, collaboration is key. While engineers are accountable for end-to-end delivery, they are also encouraged to consult with peers to arrive at the most effective solutions. The capacity to work both independently and as part of a team is essential.
To expedite delivery, we have devised a suite of proprietary tools that assist us in various aspects of development. Engineers periodically switch roles to write automated end-to-end tests, optimise our GitOps-enabled continuous integration and continuous deployment (CI/CD) pipelines, or fine-tune our observability stack. We even have a rotation for passive on-call duties to promptly address any issues that arise within our codebase.
It's worth noting that we do not employ separate DevOps or QA roles within our engineering team. Self-reliance is vital: we automate everything and construct our own tooling. Therefore, a broad systems-oriented perspective - going beyond mere software development - is indispensable for success within our team.
Our mantra is straightforward: we build it, we test it, we ship it and we operate it.
Here are some of the tools we use daily: GoLang is our language Kubernetes is our core product AWS, GCP, and Azure are the clouds we operate Postgres and cloud object storage for persistence GCP PubSub for messaging GRPC and REST APIs We use GitLab CI with ArgoCD as our GitOps CD engine Prometheus, Grafana, Loki, and Tempo for observability Deployment charts are written in Helm. Having experience with these tools is not a strict prerequisite for the ideal candidate, but it does offer a competitive edge.
The Omni Team's goal it to solve the multi-cluster multi-cloud Kubernetes challenge! Building on top of concepts from cluster federation it tries to shift the paradigm in Kubernetes usage patterns and how it is being used when many clouds are involved. And while doing this to enable CAST AI customers to realize significant AAA savings for our customers.
To give you a glimpse into the complexities we navigate:
We’ve successfully proven that you can do more with Kubernetes compute resources in the ways people didn't think was possible. We are building on top of giants, by leveraging OpenSource technologies like wireguard and controller-runtime. We write custom Kubernetes operators to orchestrate every component, related to multi-cluster operations in the clusters. Manage OpenSource project usage by maintaining stability, security, flexibility and independence. We strive for minimal APIs and user experience with the goal to make multi-cloud not only a buzzword, but reality. We're breaking new grounds of networking, Kubernetes operators and cloud provisioning at CAST AI. The above examples merely scratch the surface of what we've achieved. Consider that these efforts are magnified by the range of cloud providers we support - and each one presents its own unique challenges. Each development sprint uncovers new hurdles and learning opportunities. We consider ourselves fortunate to operate in a cutting edge technological landscape.
Here are some of the technologies we use in the stack: GoLang is our language. Kubernetes is our core product. AWS, GCP, and Azure are the clouds we operate. Postgres and cloud object storage for persistence. Temporal for our scheduling needs and executor. VirtualKubelet and ControllerRuntime for our operators stack. Terraform for IaC. GCP PubSub for messaging. GRPC and REST APIs. We use GitLab CI with ArgoCD as our GitOps CD engine. Prometheus, Grafana, Loki, and Tempo for observability. Deployment charts are written in Helm. Having experience with these tools is not a strict prerequisite for the ideal candidate, but it does offer a competitive edge.
We are looking for a Senior Security Engineer to join our Security Team. In this role, you will propose new ideas and improvements, collaborate with peers on the architecture, and implement new software solutions for container and network security.
Responsibilities: As a Senior Software Engineer, you will work in a highly skilled team and collaborate throughout the full development lifecycle.
Participate in feature brainstorming, requirement gathering, and customer needs solving Design and architecture software, leveraging your experience to ensure scalability, maintainability and performance Write clean, maintainable and documented code using best practices and coding standards Ensure software reliability through test coverage and local testing Contribute in maintaining CI/CD pipelines, monitoring and alerting stack Respond to incidents to resolve customer issues or service disruptions.
We are looking for a Senior Software Engineer with a passion for platform engineering to join our Wire Team. This role has a strong focus on improving internal Developers' Experience (DX) tools and platforms that are integral to the success of our development process.
Initially, a portion of your time will be spent working closely with the Wire Team. This will help you familiarize yourself with CAST AI’s engineering practices and gain a deep understanding of our product. In the Wire team, your main responsibility will be managing and improving the observability (o11y) stack. Long term, you will have the exciting opportunity to transition and play a key role as one of the founding members of our Tooling Team, where you will shape and influence our approach to DX tooling and automation at scale. In this position, you will:
Maintain and optimize the observability (o11y) stack: manage Prometheus, Grafana, Loki, Phlare, Tempo, and other relevant observability tools. Ensure our monitoring, alerting, and logging systems provide a frictionless way to define engineering team-related alerts.
Improve continuous Integration and Delivery: manage and optimize CI/CD pipelines using tools like GitLab Pipelines, GitHub Actions, ArgoCD, and Helm, ensuring efficient and reliable deployment processes.
Development environment management: enable other engineering teams by maintaining and extending the existing local development tooling managed by Tilt.
Oversee incident management systems: integrate with incident management and alerting tools such as Opsgenie, Pagerduty, or similar to enhance our response capabilities and reduce downtime.
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:
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.
Workload Optimization (WOOP) – Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.
AI Enabler – Helps customers deploying and managing LLMs in their Kubernetes cluster and optimizes their workloads by providing cost visibility and intelligent routing for LLM requests to the most cost-effective compute resources (e.g. Grok, self-hosted LLAMA models).
Here are some of the tools we use daily: Languages: GoLang (primary), Python (secondary for some cases) Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Databases & Storage: PostgreSQL, Cloud Object Storage PostgreSQL and Cloud Object Storage for persistence 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: Strong software engineering skills with experience in distributed systems and backend development (ideally GoLang, but not a hard requirement as long as you’re willing to transition to it) Strong debugging, optimization, and performance-tuning skills Deep understanding of cloud platforms: hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), Microsoft Azure, and tools such as Kubernetes for containerization and orchestration CI/CD and DevOps practices experience Strong English skills, both verbal and written Ability to work independently and collaboratively within a team Startup mindset: adaptable, proactive, and comfortable with ambiguity A proactive, problem-solving mindset with a "yes we can" attitude.
Chestnut, backed by a16z, is applying modern solutions to transform a $7B industry. Our customizable, easy-to-use producer management and compensation platform is purpose-built to address the insurance industry’s unique challenges.
We help customers break free from legacy constraints, static compensation models, and manual processes—turning commissions into a dynamic revenue driver that unlocks growth.
We’re tackling one of the hardest problems in insurance. If you love solving complex challenges and want to work directly with a founding team building something groundbreaking, let’s chat!
Chestnut is, at its core, a technology company, and we are building the best team! We are looking for engineers who are excited to be part of our early story and who want to build a transformational company. We hire engineers who have a broad set of technical skills, are highly cross-functional, and are eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling it in production. We value people who take pride and ownership in their work and who show an aptitude for learning quickly. As an early employee, you will be working with a nimble team of committed and talented engineers and will have a large, long-term impact on technical design and engineering culture.
We are looking to expand our founding engineering team. Our team is inclusive, transparent, and takes large ownership in driving features from 0 to 1. We are looking for someone who is equally interested in developing robust APIs to stand the test of time as they are in developing innovative solutions to solving tough data modeling or UX challenges.
*Please note that we can only consider candidates in the US within EST, CST, MST time zones.
About Rialtic
Rialtic is an enterprise software platform empowering health insurers and healthcare providers to run their most critical business functions. Founded in 2020 and backed by leading investors including Oak HC/FT, F-Prime Capital, Health Velocity Capital and Noro-Moseley Partners, Rialtic's best-in-class payment accuracy product brings programs in-house and helps health insurance companies gain total control over processes that have been managed by disparate and misaligned vendors. Currently working with leading healthcare insurers and providers, we are tackling a $1 trillion problem to reduce costs, increase efficiency and improve quality of care. For more information, please visit www.rialtic.io.
The Role
We seek a motivated and curious Staff Engineer with extensive background experience in cloud-native distributed systems who hates manual processes and feels compelled to build tools to automate them away. As a key contributor to our core healthcare claims processing platform team and senior member of the technical staff, you will play a vital role in building solutions to improve workflows across multiple engineering teams, supporting client evaluations and implementations, live system support, site reliability, system testing and monitoring, and logging/alerting integrations. This position requires a customer-first, quality-oriented mindset. We are a data-driven organization, so instrumentation and measurement are how we determine the success or failure of our engineering efforts.
We tackle challenges that are common to healthcare companies and healthcare data, but we do it using a modern, cloud-native stack. Our core processing platform and related services are written in Go, while our clinical and financial analytics components that run inside the platform are written in Python. This is a back-end systems focused role: we won’t ask you to write Javascript (but being able to read it never hurts, and we have many APIs and interfaces between us, our clients, and our own systems). Our ability to parse, validate, process, write code against, and manage enormous volumes of data while performing complex analyses quickly and accurately is critical to our success.
If that sounds like a fun challenge, then you should apply for this position!
You will
During any given week in this role, you might:
Stream uses Go for our video SFU & chat API. We power chat for many large apps like Strava, Nextdoor, Patreon, IBM, Adobe and Midjourney. In addition to Go we use CockroachDB/Postgres, RocksDB, Raft and Redis.
We are willing to train you on Go if you’re experienced on a different tech stack (we have a 10 week internal onboarding program focused on Go, scalability etc.). Solid engineering experience and motivation to learn is more relevant than prior experience with the language. Roles open from entry level to director/principal go engineers. Remote (EU) or Amsterdam (relocation and Visa sponsorship available).
To get a feel for what we do you can have a look at our API tour: https://getstream.io/chat/get_started/
Salary range is around 80k Euro for entry level roles up to 160k for staff/lead level.
Why Stream:
High scale/ difficult engineering Default alive. Startup growth opportunity with healthy revenue Strong engineering culture. Engineering is what makes us succeed All managers are hands on and capable engineers Edge network of servers around the world Great opportunity to learn and grow Raised $58M from leading VCs (Felicis Ventures, Notable Capital, 01.Advisors, Techstars, Arthur Ventures), including backers like Dick Costolo (01 Advisors, ex-CEO of Twitter), Olivier Pomel (CEO of Datadog), Tom Preston-Werner (Co-Founder of GitHub), Nicolas Dessaigne (Co-Founder of Algolia)
This role requires at least 4 years of backend engineering experience. We’re looking with someone with experience in 2 out of these 3 areas:
Experience with Go Scalability/database/Redis experience Experience with SDK development/ React/Swift/Compose etc.
Bonus points for:
Experience with AWS or other cloud provider Python (our AI runs on Python) and Rust experience Message queues experience Full text search experience Bachelor's degree in Computer Science, Engineering or a related field WebRTC experience
What we have to offer you Stream employees enjoy some of the best job benefits in the industry:
A team of exceptional (and friendly) engineers
The chance to work on OSS projects
28 days paid time off plus paid Dutch holidays
Company equity
A pension scheme
A Learning and Development budget
Commute expenses to Amsterdam covered or the option to use a company bike within the city
Fitness stipend
Monthly in-office chair massages by a professional
MacBook Pro
Healthy team lunches and plenty of snacks
A generous relocation package
An office in the heart of Amsterdam
Tooling & Solutions Engineer (Go)
Gevulot is a generic decentralized prover network designed for deploying arbitrary provers as on-chain programs while maintaining performance similar to centralized provers. The vision of Gevulot is to make the creation of performant zk-based systems, such as validity rollups, as easy as deploying smart contracts.
About the Role:
We are looking for a Solutions Architect to work closely with our Gevulot partners. Your goal in this position would be to make it more convenient for them to start and keep using the Gevulot network. We are looking for a person who has a wide range of expertise in different technologies/sectors to easily discover, propose, and execute the best solutions. You are comfortable working in CLI and have an excellent routine in thoroughly documenting solutions and instructions.
Requirements:
Key Responsibilities:
What We Offer:
Stack:
We are looking for a Senior Software Engineer who can turn ideas into reliable, beautifully written code that other people will find easy to comprehend and modify. You have a fundamental understanding of distributed systems and how Linux works behind the scenes. All additional experience in low-level systems is considered to your benefit. Experience and understanding of blockchain are not mandatory.