Were looking for a highly experienced Principal Software Engineer to join our CTO team in a cross-company, hands-on role. This position is focused on solving complex engineering challenges, driving architectural decisions, and actively contributing code across multiple teams and domains.Youll work closely with senior engineers, architects, and leadership to improve platform scalability, reliability, and engineering practices, while remaining deeply involved in day-to-day development.
On a typical day youll:
Take ownership of complex technical challenges across the platform, from design through production
Design and evolve scalable, reliable architectures supporting high traffic and rapid growth
Actively contribute code, prototypes, and reference implementations used by multiple teams
Lead and participate in architecture and code reviews across the organization
Improve engineering practices around CI/CD, testing, observability, and operational readiness
Partner with infrastructure, security, and product teams to define and meet non-functional requirements
Identify recurring technical gaps and build tools, libraries, or automation to address them
Support incident analysis and guide long-term improvements in performance and reliability.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

We're looking for a hands-on builder to join our company's Backend Core Team as a Principal Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

Were seeking a Principal Engineer to drive cross‑disciplinary design and execution across all R&D teams. This role spans Embedded/Linux, Backend (Java/Kotlin), Python SDK, Compiler, and Logic Design/Verification, owning multi‑team epics end‑to‑end-from planning and interface definition to high‑quality delivery. Youll be the technical driver and execution leader: aligning architecture with product needs, orchestrating interfaces between teams, de‑risking integration, and staying 50-70% hands‑on to unblock execution.
Youll thrive here if you love complex systems, multi‑threaded and real‑time challenges, hardware/logic/software co‑design, and building resilient, production‑quality systems for cutting‑edge quantum computing products.
Responsibilities
Cross‑Disciplinary Ownership & Delivery:
Own several multi‑disciplinary epics concurrently; define scope, plan milestones, manage risks, and deliver on time with high quality.
Translate product outcomes into technical roadmaps and cross‑team work breakdown structures.
Architecture, Interfaces & Integration:
Define and maintain interface contracts (APIs, protocols, HW/logic/SW boundaries, timing & resource constraints) across teams.
Establish integration readiness criteria; lead integration plans, dry‑runs, and cross‑stack troubleshooting.
Drive architectural decisions balancing performance, reliability, testability, and maintainability.
Hands‑On Technical Leadership (50-70%):
Contribute code/designs in at least two disciplines (e.g., Embedded C/C++/Linux, Python SDK, Java/Kotlin backend, compiler/LLVM/MLIR, Logic Design/Verification).
Build POCs, profiling harnesses, and integration tooling to de‑risk complex paths.
Perform deep dives on performance, concurrency, and resource utilization in HW‑constrained environments.
Quality, SDLC & Execution Excellence:
Champion clean architecture, code reviews, automated testing, CI/CD, and production hardening.
Define non‑functional requirements and acceptance gates for cross‑team epics (latency, throughput, accuracy, reliability).
Lead technical reviews; ensure documentation (design docs, interface specs, runbooks) is complete and up‑to‑date.
Mentorship & Stakeholder Management:
Mentor senior engineers, set engineering standards, and grow cross‑disciplinary capabilities.
Interface with Product, Architecture, and all development teams; communicate risks and trade‑offs clearly and early.

We are looking for a Principal Backend Infrastructure Engineer to lead the conceptualization and development of mission-critical services and APIs. In this role, you will assume full ownership of a system that directly influences the success of our company. To achieve this, you will collaborate closely with data scientists, product managers, and customer success managers in our dynamic, agile work environment.
Responsibilities:
Take ownership of backend and infrastructure tasks for our rapidly growing SAAS product. This includes designing and implementing the architecture, as well as overseeing maintenance and monitoring.
Collaborate seamlessly with team members to produce production-ready code and maintain high infrastructure standards.
Lead the team in technical design efforts and serve as a source of knowledge for fellow engineers.
Develop APIs and background services using a diverse range of backend technologies to:
Integrate with external platforms
Extract and analyze web content
Interface with internal machine learning services
Cater to external customer needs
Scale up our system to handle big data challenges, ensuring robustness and reliability.
Work closely with the entire R&D team to create better tools and infrastructure.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.
A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.

We are seeking a hands-on Python Tech Lead to oversee a small team of 2-3 engineers focused on high-level quantum computing software development, within our High-Level Software team. The role includes leading high-level software design and developing Python packages that enable our customers to write both basic and advanced quantum programs.
Responsibilities:
Lead and mentor a small team of 2-3 Python engineers, providing technical guidance, code reviews, and architectural direction.
Drive the design and development of high-level quantum computing software within the High-Level Software group.
Design, implement, and maintain Python packages that enable customers to write both basic and advanced quantum programs.
Define and uphold best practices in software design, testing, documentation, and code quality across the team.
Collaborate with product managers, quantum researchers, and other engineering teams to translate product needs into robust software solutions.
Own the end-to-end architecture of high-level software components, ensuring scalability, clarity, and long-term maintainability.
Lead hands-on development efforts: write code, prototype features, debug complex issues, and contribute directly to the codebase.
Oversee release processes, versioning, and integration with the broader quantum-computing software ecosystem.
Identify technical risks, propose mitigation strategies, and drive continuous improvements in performance, developer experience, and reliability.

We are looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You arent just a developer; you are a core architect of our vision.
You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystems.
This is a high-impact role where you will own features from the initial napkin sketch through to production. Youll be working with a massive data scale, complex security integrations, and a cutting-edge stack.
What Youll Do:
End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.

we are looking for a Principal Product Manager.
This role offers high visibility, strong strategic influence, and direct collaboration with executives, Fortune 100 customers, engineering, finance, information systems, GTM, and business stakeholders.
As a Principal Product Manage you will
Drive Product Strategy: Identify market opportunities, define product vision, and gather customer requirements.
Own the Lifecycle: Lead your product from ideation to launch, ensuring alignment with customer needs and high-quality execution.
Leverage Data: Design, experiment, and iterate based on customer feedback, market research, and usage metrics.
Collaborate Cross-Functionally: Partner with Information Systems, Finance, Sales, Support, Marketing, and Engineering to deliver scalable and efficient platform solutions.
Build Relationships: Foster trust and alignment across internal and external stakeholders to bring your vision to life.