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We're looking for an Infrastructure Engineer with a strong backend engineering mindset - someone who treats infrastructure as software.

In this role, you won't just operate infrastructure - you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform.

You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers.



Responsibilities
What Youll Do:

Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns.
Develop automation and tooling in Go or Python to manage infrastructure at scale.
Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models).
Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities.
Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability.
Implement observability patterns and integrate monitoring signals into infrastructure logic.
Collaborate with backend engineers to design infrastructure that behaves like software - versioned, testable, and automated.

As a Software Engineer, you will play a critical role in designing, delivering, and maintaining software that powers the bank's core financial logic-where reliability, precision, and performance are paramount.

You will have the opportunity to work on industry-defining technology, implement robust processes, and contribute to a culture of excellence.

Responsibilities
Design, implement, and validate robust financial logic and testing infrastructure, primarily using Python.
Provide technical guidance, mentorship, and code reviews to team members.
Collaborate with customers and internal stakeholders to transform ambiguous requirements into clear, actionable functional specifications.
Work with the team to establish and promote a culture of quality and engineering excellence.
Troubleshoot and resolve issues, ensuring solutions are delivered effectively both independently and as part of a team.

we are looking for a Staff Software Systems Engineer.
As a Staff Software Systems Engineer and Senior Product Owner, you will provide technical leadership across software-intensive medical device systems while guiding product direction for Agile development teams. You will bridge product strategy, systems engineering, and software development to deliver innovative solutions supporting Electrophysiology Mapping and Imaging portfolio across current and next-generation product platforms. You will be responsible for leading feature teams in the development of complex software applications that include signal processing, algorithms, and visualization in a real-time environment. You will champion cybersecurity-by-design and privacy-by-design principles throughout software development and product lifecycle activities. You will partner with Systems Engineering to translate system capabilities and architecture into software requirements, interfaces, and implementation strategies that enable scalable, maintainable, and compliant product solutions.

we are looking for an experienced Full Stack Developer to join our engineering team. In this role, you will be responsible for developing and maintaining high-quality web applications, working across both backend and frontend technologies, and contributing to scalable and reliable products. You will work closely with other engineers and cross-functional teams to turn product requirements into effective technical solutions.

What Youll Be Doing?

Develop and maintain scalable, high-quality full-stack web applications.
Build and maintain backend services using Node.js.
Develop modern, responsive frontend applications using React, Angular, or Vue.js.
Design and implement clean, maintainable, and scalable software solutions.
Participate in architectural and technical discussions and contribute to engineering best practices.
Collaborate closely with Product, Engineering, and other teams to deliver features from concept to production.
Take end-to-end ownership of assigned features and projects, ensuring high quality and timely delivery.
Troubleshoot, debug, and improve application performance, reliability, and scalability.
Contribute to continuous improvement of development processes, tools, and technical standards.

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

We're looking for a Frontend Engineer to build our Web products. The web is a first-class product surface for us, powering our core AI English learning product, Business dashboards, and user acquisition initiatives. You'll own features end-to-end, from Figma to shipped, performant UI, collaborating closely with design, product, and non-technical stakeholders.
What you'll do:
Build and ship core product features across our core AI English tutor web experience alongside to acquisition funnels, dashboards, SEO and our company site
Turn Figma designs into clean, accurate, responsive UI
Extend and improve our internal component library
Partner directly with designers, PMs, and non-technical stakeholders to shape and refine features
Continuously improve web and mobile-web performance - load time, rendering, bundle size
Own test coverage for the features you build
Make technical tradeoffs independently and drive decisions in your area
Incorporate AI/agentic coding tools into your day-to-day workflow

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

We value team players with technical excellence and a sense of ownership who know how to choose the right tool for the right task.


What you'll be doing

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Write clean, highly scalable, and top-quality code that sets industry standards.

Work closely with the Product, Architects, DevOps, and BI.

Continuously learn and stay up to date with emerging trends and technologies in the industry.

Drive innovation by researching and implementing new technologies and best practices within the development team.

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Implement and manage CI/CD pipelines for continuous integration and deployment.
Monitor system performance and troubleshoot issues as they arise.
Collaborate with development and IT teams to streamline workflows.
Manage cloud infrastructure and ensure high availability and scalability.
Automate system processes and infrastructure deployment using tools like Docker, Kubernetes, or

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

We are looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers.

This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. Youll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.

Youll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using our SaaS platform.

Key Responsibilities
Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions.
Translate customer business processes and requirements into working AI solutions.
Own customer implementations end-to-end, from technical discovery and solution design through production deployment.
Integrate us with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems.
Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements.
Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance.
Support enterprise customers using the SaaS platform.
Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product.
Manage multiple customer implementations simultaneously and take ownership through successful production delivery.

We are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.


What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.

Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.