Wizdaa

• Lead-level backend ownership • Make architecture decisions independently • Design systems with long-term scalability in mind • Implement backend solutions using NestJS and TypeScript • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Set and enforce quality standards across code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, and testing strategy

• Lead-level backend ownership • Make architecture decisions independently • Design systems with long-term scalability in mind • Turn ambiguous product needs into production-ready backend solutions • Use AI to move fast while maintaining judgment around architecture, correctness, security, performance, and reliability • Design and own backend services in NestJS and TypeScript • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction • Set and enforce quality standards • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity

• Lead-level backend ownership • AI-first delivery • Architecture decisions • Design and own backend services in NestJS and TypeScript, from schema to production • Make architecture decisions independently, with a focus on scalability, maintainability, and reliability • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity • Operate in an AI-first workflow without compromising engineering standards

• Lead-level backend ownership • AI-first delivery • Architecture decisions • Design and own backend services in NestJS and TypeScript, from schema to production • Make architecture decisions independently, with a focus on scalability, maintainability, and reliability • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity • Operate in an AI-first workflow without compromising engineering standards

• Lead-level frontend and mobile ownership • AI-first delivery • Architecture decisions • Design and own frontend and mobile application architecture across React, React Native, and Next.js • Make architecture decisions independently, with a focus on scalability, maintainability, performance, and reliability • Build production-grade applications using TypeScript across web and mobile environments • Work with GraphQL APIs and define clean integration patterns across frontend, mobile, and API layers • Define scalable engineering patterns across React, React Native, Next.js, TypeScript, and GraphQL • Own application quality standards across architecture, code structure, testing, responsiveness, and developer experience • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Use AI-first and agentic development workflows with tools such as Cursor and Claude to accelerate delivery without compromising engineering standards • Translate ambiguous product needs into clear technical solutions • Ensure the performance, quality, and responsiveness of applications across web and mobile • Collaborate directly with clients to ensure smooth communication and strong understanding of requirements • Contribute to system design, performance strategy, testing strategy, and engineering productivity • Apply a basic understanding of native mobile development concepts in Kotlin/Java and Objective-C/Swift when working with React Native integrations, debugging, or platform-specific requirements

• Lead-level frontend and mobile ownership • AI-first delivery • Architecture decisions • Design and own frontend and mobile application architecture across React, React Native, and Next.js • Make architecture decisions independently, with a focus on scalability, maintainability, performance, and reliability • Build production-grade applications using TypeScript across web and mobile environments • Work with GraphQL APIs and define clean integration patterns across frontend, mobile, and API layers • Define scalable engineering patterns across React, React Native, Next.js, TypeScript, and GraphQL • Own application quality standards across architecture, code structure, testing, responsiveness, and developer experience • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Use AI-first and agentic development workflows with tools such as Cursor and Claude to accelerate delivery without compromising engineering standards • Translate ambiguous product needs into clear technical solutions • Ensure the performance, quality, and responsiveness of applications across web and mobile • Collaborate directly with clients to ensure smooth communication and strong understanding of requirements • Contribute to system design, performance strategy, testing strategy, and engineering productivity • Apply a basic understanding of native mobile development concepts in Kotlin/Java and Objective-C/Swift when working with React Native integrations, debugging, or platform-specific requirements

Role Description We are looking for a highly senior engineer who can operate at Lead Engineer level across frontend and mobile applications. This is not a role for someone who only executes tickets. We need someone who can make architecture decisions independently, design scalable frontend and mobile systems, and turn ambiguous product needs into production-ready applications. This is a high-ownership role on a lean team. The default mode of execution is AI-first. Engineers use AI agents and tools such as Cursor, Claude, and similar platforms to accelerate research, planning, implementation, testing, and refinement, but ownership stays fully with the engineer. The person in this role must be able to use AI to move fast while maintaining strong judgment around architecture, correctness, performance, usability, maintainability, and overall product quality. - Design and own frontend and mobile application architecture across React, React Native, and Next.js - Make architecture decisions independently, with a focus on scalability, maintainability, performance, and reliability - Build production-grade applications using TypeScript across web and mobile environments - Work with GraphQL APIs and define clean integration patterns across frontend, mobile, and API layers - Define scalable engineering patterns across React, React Native, Next.js, TypeScript, and GraphQL - Own application quality standards across architecture, code structure, testing, responsiveness, and developer experience - Define technical direction, not just implementation details - Set and enforce quality standards across both AI-generated and manually written code - Use AI-first and agentic development workflows with tools such as Cursor and Claude to accelerate delivery without compromising engineering standards - Translate ambiguous product needs into clear technical solutions - Ensure the performance, quality, and responsiveness of applications across web and mobile - Collaborate directly with clients to ensure smooth communication and strong understanding of requirements - Contribute to system design, performance strategy, testing strategy, and engineering productivity - Apply a basic understanding of native mobile development concepts in Kotlin/Java and Objective-C/Swift when working with React Native integrations, debugging, or platform-specific requirements This is a fast-paced environment with real production stakes. You will be expected to move quickly, think at systems level, and make strong technical decisions with minimal hand-holding. If you are comfortable owning frontend and mobile architecture, working across React, React Native, Next.js, TypeScript, GraphQL, and AI-first workflows, and raising the technical bar in a high-accountability environment, this role is for you. Qualifications - Strong proficiency in React, React Native, Next.js, and TypeScript - Strong experience working with GraphQL APIs - Extensive AI/ML or agentic development experience using Cursor, Claude, or similar tools - Basic understanding of native mobile development concepts in Kotlin/Java and Objective-C/Swift - Proven experience designing, developing, and maintaining production web and mobile applications - Strong understanding of performance, responsiveness, maintainability, and overall software quality - Proven ability to make architecture decisions independently and own technical direction - Ability to communicate clearly with clients and stakeholders - Full-time availability in a remote environment - Bachelor's degree in Computer Science or a related field, or equivalent practical experience - Minimum of 5 years of hands-on development experience - Exceptional English communication skills, both written and verbal - Ability to pass a background check with good references Benefits - Fully remote - Paid in USD - EST or PST aligned hours

• Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake • Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls • Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store • Integrate pipeline health and metrics into engineering dashboards for full visibility and observability • Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL • Build reusable frameworks and connectors to standardize internal data publishing and consumption

• Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake • Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls • Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store • Integrate pipeline health and metrics into engineering dashboards for full visibility and observability • Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL • Build reusable frameworks and connectors to standardize internal data publishing and consumption

Role Description We're looking for a Senior Platform Engineer / SRE who can lead complex infrastructure work, drive IaC and GitOps architecture, and set the standard for how we automate and operate systems at scale. You'll tackle hard problems — multi-tenant isolation, self-service infrastructure, reliability engineering — and have the scope to solve them properly. This is not a ticket-processing role. Seniors here identify problems before they're asked, make architectural calls, mentor engineers, and raise the ceiling on what the platform can do. What You'll Work On - Lead IaC architecture — Terraform module design, state management, multi-account patterns, and setting the standards the rest of the team builds against - Drive GitOps at scale — ArgoCD configuration, progressive delivery patterns, promotion workflows, and deployment reliability across multiple environments and tenants - Architect and operate multi-tenant Kubernetes infrastructure on AWS EKS — tenant isolation, workload placement, cluster topology, and long-term scalability strategy - Build self-service infrastructure automation — provisioning pipelines, configuration management, and platform capabilities that engineering teams can consume without manual intervention - Lead the use of agentic coding tools for infrastructure work — scaffolding new environments, generating and reviewing IaC, accelerating automation, and establishing patterns for the team - Own reliability — SLO definitions, error budgets, incident response quality, and the feedback loop that turns incidents into platform improvements - Set observability standards — trace coverage, alert quality, on-call ergonomics, and runbook culture - Partner with security on zero-trust architecture, secrets management at scale, and infrastructure hardening - Contribute to technical roadmap and help the team prioritize the right work - Mentor mid-level engineers — code review, design feedback, on-call shadowing Qualifications - 6+ years in platform engineering, SRE, or infrastructure — with meaningful time operating production systems at scale - Deep IaC expertise — you design Terraform architectures, not just write modules; you've managed complex state and multi-account configurations in production - Strong GitOps background — you understand declarative infrastructure management at depth and have opinions on how to do it well - Deep Kubernetes knowledge — you've operated clusters in production, dealt with real failure modes, and understand the system at the control plane level - Strong AWS background — networking, compute, IAM, storage, multi-account design - Experience with multi-tenant infrastructure — isolation patterns, noisy neighbor mitigation, and tenant lifecycle management - Automation-first thinking at a senior level — you design systems that eliminate entire categories of manual work, not just individual tasks - Active user of agentic coding tools — you know how to direct them effectively, review their output critically, and use them to multiply your output - Reliability engineering track record — SLOs defined and measured, post-mortems run, measurable improvements driven - Strong communicator — you can make architectural decisions legible to engineers and leadership alike Nice to Have - Experience with Karpenter and node lifecycle management in production - Background in FinOps — cost attribution, reserved capacity planning, workload right-sizing - Familiarity with data infrastructure — object storage, CDC pipelines, or lakehouse patterns - Experience supporting AI/ML inference workloads or GPU-based compute in production - Prior experience scaling platform infrastructure at a startup moving toward enterprise-grade requirements What You Won't Find Here A platform team that maintains the status quo. We're actively building — new scale requirements, new architectural domains, new automation capabilities. Senior engineers here shape how the platform evolves, and the tools available to do it are better than they've ever been. Type: Full-Time, remote Work hours aligned with EST or PST