• Your time will be divided between leading cross-functional technical projects, building and reviewing architectures. • You’ll be setting and driving coding standards, technical processes, and tooling across engineering. • You’ll drive AI tool adoption across Engineering. • You'll prioritize and work on multiple projects from start to finish, balancing quality, stability and project delivery. • Through code reviews and mentoring, you'll set a high-quality bar. You’ll also actively look for ways to improve the overall quality of our codebase. • You'll work across teams to promote an open, collaborative approach to architecture, technical patterns, and complex problem-solving.

• Develop, maintain, and enhance full-stack applications using React/Next.js on the frontend and Python/FastAPI on the backend. • Design and implement REST APIs and microservices with high performance, scalability, and security. • Build responsive UI components using Tailwind CSS/Bootstrap and ensure cross-browser compatibility. • Integrate front-end applications with backend services and databases (SQL/NoSQL). • Write clean, maintainable, and well-documented code following coding best practices. • Troubleshoot, debug, and optimize application performance across the stack. • Collaborate with cross-functional teams (Product, QA, DevOps) in an Agile environment. • Participate in code reviews, technical discussions, and architecture planning. • Maintain CI/CD pipelines and support deployment processes (Vercel/AWS/GCP). • Stay updated with emerging technologies and contribute to continuous improvement initiatives.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At LearnLux, you will build a product that changes lives. Our mission is to empower people to take control of their financial future, whether that means getting out of debt, buying their first home, or preparing for retirement. As a Staff Software Engineer, you’ll shape this mission by setting and executing on the architectural direction of our platform as we scale globally as an enterprise-grade SaaS product. In this role, you’ll tackle complex technical challenges that come with scaling an enterprise platform, including: - Multi-tenancy - Cloud infrastructure - Distributed systems - Data architecture - AI infrastructure that is thoughtfully integrated into the core platform Your contributions will be instrumental in creating a scalable, secure, compliant, and operationally sound backend foundation. You will directly influence architecture, execution, and how the engineering organization operates day to day. We are a small, agile engineering team, and this role is intentionally hybrid. You’ll spend meaningful time hands-on in the code and infrastructure while also acting as a backend technical leader and cross-functional partner. You’ll connect backend, data, infrastructure, and AI-enabled systems into a coherent architectural vision, mentor other engineers, and raise the bar for technical decision-making as we grow. If you’re excited by broad architectural ownership, building leverage through automation (including AI-driven systems), and helping shape an engineering organization focused on the future of financial wellness, we’d love to meet you. This role is based in Denver, Colorado. Remote candidates will be evaluated on a case-by-case basis. Qualifications - Staff-level backend engineering experience, defined by scope and impact rather than years. - Proven experience designing and evolving large-scale, distributed, enterprise SaaS systems. - Hands-on experience leading or executing major architectural transitions (e.g., multi-tenancy, global scale, platform re-architecture). - Strong backend development experience with Node.js and/or Python. - Deep experience with cloud infrastructure, GCP preferred (AWS experience acceptable). - Experience building systems with security and compliance as first-class concerns in enterprise SaaS and global environments. - Experience working with data platforms and pipelines, including data warehousing, Airflow, and SQL/NoSQL databases. - Demonstrated experience using AI-driven or agentic automation to improve engineering systems, workflows, or organizational efficiency. - Ability to thoughtfully identify where AI and automation create real leverage and to implement those systems pragmatically in production. - Ability to operate independently, lead through influence, and collaborate effectively across the stack. - Demonstrated ability to mentor engineers and raise the overall effectiveness of an engineering team. - Strong communication skills, especially around architectural tradeoffs and technical decision-making. Requirements - Lead the architectural design and incremental execution of LearnLux’s transition from single-tenancy to multi-tenancy in an enterprise SaaS environment. - Design and evolve cloud infrastructure for global scale, reliability, and data isolation, primarily on GCP (with AWS experience welcomed). - Apply a strong security and compliance mindset to system design and operational scale. - Own and improve our infrastructure-as-code approach, using Pulumi (preferred) or Terraform to ensure environments are repeatable, visible, and scalable. - Connect backend services, infrastructure, and data platforms into a cohesive, well-documented system architecture. - Partner closely with engineers, product, and data to translate strategic architectural goals into a prioritized and executable roadmap. - Build and maintain backend services using Node.js and Python, contributing hands-on to critical systems. - Collaborate with data workflows and platforms, including BigQuery and Airflow, ensuring backend systems scale alongside a growing data platform and data lake. - Drive engineering efficiency through automation, including the use of AI-driven or agentic systems to improve developer workflows, operations, and internal tooling. - Mentor and support other engineers, enabling them to ramp quickly and contribute meaningfully. - Uphold global performance, reliability, and operational excellence, leading by example. - Foster clear communication and thoughtful decision-making across backend, frontend, data, and infrastructure domains. Benefits - Remote-first company structure - Medical, dental, and vision - 401(k) - Mental wellbeing (Talkspace) - Financial wellbeing (LearnLux) - Paid vacation and sick leave - Paid sabbatical after 5 years of service - A supportive, inclusive team culture - Opportunities for continuous learning and growth at a fast-growing startup at the cutting edge intersection of financial wellness and technology

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases. Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. At Aerospike, we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability. If you're ready to shape the future of data, join us. We’re growing fast and investing deeply in our Cloud Platform—a multi-cloud, multi-tenant platform that brings the power of Aerospike to customers with maximum simplicity, speed, and scale. Senior Software Engineer, Cloud We’re growing fast and investing deeply in our Cloud Platform, with a particular focus on the systems that provision, operate, and monitor Aerospike databases running in customer-dedicated Kubernetes clusters. We’re looking for a Senior Software Engineer to join our Cloud team and play a key role in designing and building the infrastructure orchestration, control loops, and operational systems that power Aerospike Cloud. Your work will directly impact the reliability, scalability, and safety of production database clusters used by customers worldwide. What You’ll Do Drive real impact. You’ll build and evolve the systems that provision and manage Aerospike Cloud clusters, spanning Kubernetes, cloud infrastructure, storage, networking, and long-running workflows. Collaborate deeply. You’ll work closely with product managers, architects, control-plane engineers, and SREs to deliver reliable platform capabilities while balancing customer needs, operational safety, and long-term maintainability. Build for reliability and scale. From safely orchestrating cluster lifecycle operations to handling failure modes in cloud infrastructure, you’ll design and implement systems that behave predictably under load and degrade gracefully when things go wrong. Elevate operational quality. You’ll help define best practices around rollout safety, workflow versioning, observability, and incident prevention, raising the bar for how we operate stateful systems in Kubernetes. Responsibilities - Design, implement, and maintain components and workloads responsible for provisioning and managing Kubernetes-based Aerospike clusters - Build and evolve workflows used to orchestrate long-running infrastructure and database lifecycle operations - Develop Kubernetes-native systems using controllers, operators, and CRDs - Own cloud infrastructure automation using Terraform, including VPCs, EKS clusters, IAM, storage, and networking - Design and maintain persistent storage lifecycles involving EBS volumes, local NVMe instance storage, and backups - Diagnose and resolve complex production issues spanning Kubernetes, cloud provider APIs, and distributed systems - Improve observability through metrics, logs, and alerts using Prometheus, OpenTelemetry, and Datadog - Collaborate across teams to evolve architecture, improve reliability, and prevent operational regressions Required Skills and Qualifications - At least 5 years of relevant software engineering experience - Strong foundation in computer science, distributed systems, and debugging complex systems - Proficiency in at least one statically typed backend language (preferably Go) - Experience developing and operating distributed systems in production - Hands-on experience with Kubernetes and containerized workloads - Experience with at least one major cloud provider (AWS preferred) - Experience designing, deploying, and operating stateful systems - Familiarity with Git-based workflows and CI/CD pipelines Preferred Skills and Qualifications - Proficiency in Go - Experience with Terraform and infrastructure-as-code - Experience with Kubernetes Operators, controllers, or CRDs - Experience with workflow orchestration systems (Temporal, Cadence, Airflow, etc.) - Strong understanding of cloud networking concepts (VPCs, subnets, IP management, load balancers) - Experience with observability stacks (Prometheus, OpenTelemetry, Datadog) - Experience operating storage systems (EBS, instance store, backups) Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. Join us at Aerospike and be part of a dynamic team that is shaping the future of data management. Salary Range for California Based Applicants: [$169,000 - $195,000] (actual compensation will be determined based on experience, location, and other factors permitted by law)