Full-stack Engineer

• Flock Safety is looking for a frontend-focused, Senior Software Engineer to join our Search team.
• Your focus will be heavily frontend-leaning (around 90%), but you'll maintain the fullstack context needed to build seamless end-to-end features.
• You'll be working on a high-traffic production system where the quality of your work has a direct impact on outcomes that matter.
• You'll champion the frontend architecture across a complex React/TypeScript/Node stack, collaborating closely with backend engineers, product, and design to shape the future of the Search experience.

Senior Software Engineer, Search

• Technical Leadership & Architecture: Define the long-term technical vision and architectural roadmap for FuzeRx’s B2B and consumer platforms. Drive decisions around microservices design, API design, database schemas, and data pipelines.
• Engineering Excellence & Code Quality: Lead by example by writing clean, highly optimized, and maintainable code for critical system components. Establish engineering standards, champion rigorous code reviews, and advocate for modern testing practices.
• System Scalability & Performance: Own the reliability and performance of our core platforms. Diagnose and resolve complex systemic issues, optimize heavy PostgreSQL workloads, and architect high-throughput infrastructure on AWS.
• Cross-Squad Force Multiplier: Act as a technical consultant and mentor to engineers across multiple squads. Break down ambiguous, massive technical problems into actionable execution phases that junior and senior engineers can successfully deliver.
• Cross-Functional Collaboration: Partner closely with Product Managers, Pharmacy Operations, and Engineering Managers to evaluate technical feasibility, de-risk complex roadmaps, and align technology choices with business objectives.
• Security & Compliance Safeguarding: Architect systems with privacy by design. Ensure our codebase, data-at-rest, and data-in-transit adhere strictly to healthcare regulations (e.g., HIPAA, SOC2), safeguarding sensitive patient data.
• Innovation & R&D: Evaluate emerging technologies, frameworks, and patterns. Build prototypes and proofs-of-concept (POCs) to derisk new initiatives before they are rolled out to the wider engineering team.

Staff Software Engineer – Fuze Health

• Execute end-to-end technical delivery across assigned complex processing projects, including technical briefing, concept development, technical design, learning plans, pilot runs, capital design, and commercialization handover to Operations/Supply Chain
• Develop and maintain detailed technical documentation including Manufacturing Procedure Specifications, Transformation Flowsheets, and Process Design Scopes, ensuring processing parameters meet defined quality, shelf-life, consumer experience, and manufacturing performance requirements
• Apply processing commercialization tools (CQV, FMEA, CPRA) to systematically identify and mitigate technical risks, drive design decisions, and ensure Right- First-Time launch readiness
• Partner with Platform R&D, GDI R&D, Packaging R&D, Quality, Operations, and external suppliers to define processing requirements and success criteria, resolve technical trade-offs, and maintain project timelines and milestones
• Lead and support pilot line trials and scale-up activities, translating learnings into robust commercial processing solutions
• Contribute to STAR and Tech Review Board processes, preparing and presenting technical content that clearly communicates design rationale, risk status, and commercialization readiness
• Maintain compliance with all regulatory and safety requirements throughout project execution
• Support cost optimization and value engineering efforts that improve margin, sustainability, and reinvestment priorities
• Serve as an informal technical mentor to junior processing engineers on the team, sharing applied expertise and supporting capability development

Senior Principal Engineer, R&D – E2E Complex Processing Project Delivery

• Design and build scalable full stack applications using Node.js and React to support invest operations and business intelligence.
• Develop robust APIs and microservices that integrate with enterprise systems.
• Implement responsive, user-friendly interfaces that enable efficient workflows for Research and Strategy, Transaction teams.
• Leverage AI-assisted development tools to accelerate development cycles and improve code quality.
• Architect and implement IaC solutions using tools such as Terraform to automate cloud resource provisioning and management.
• Design and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
• Optimize cloud infrastructure for performance, security, and cost-efficiency across Cloud Platform environments (Azure preferred).
• Utilize AI-assisted coding tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or similar platforms to enhance development productivity.
• Apply AI code generation and completion capabilities to accelerate feature development while maintaining code quality standards.
• Integrate AI tools into development workflows and share best practices with the team.
• Provide technical guidance to development teams on architecture decisions, coding standards, and best practices including effective use of AI development tools.
• Conduct code reviews and mentor junior developers to elevate team capabilities.
• Collaborate with product managers, UX designers, and business stakeholders to translate requirements into technical solutions.

Senior Software Engineer

• Help build the next generation of AI-powered investigative products.
• Join a small, senior team that combines application development and ML testing expertise.
• Accelerate agent development, raise engineering standards, and turn work into a reusable AI platform.
• Own ambiguous, high-impact technical problems end to end.
• Influence architecture across teams and serve as a multiplier for engineers building AI-powered customer experiences.

Staff Software Engineer, Agents

• Drive the development of the “Agent Ecosystem” by designing, building, and operationalizing enterprise-grade AI agents and the orchestration layer that seamlessly coordinates their interactions.
• Serve as a player-coach, balancing hands-on engineering, building agent prototypes and platform components, with strategic guidance, including shaping product direction, advising on implementation best practices, and fostering a culture of technical excellence.
• Initially focus on creating foundational patterns and frameworks that can be leveraged across the broader agent development landscape, enabling scalability and reusability.
• Design Agents and implement an agent orchestration layer (routing, tool-calling patterns, workflow coordination, agent registry integration, state management, and failure/fallback strategies) by leveraging your software development super-powers (Python).
• Define and apply enterprise agent patterns (standard agent templates, reusable components, and orchestration controls).
• Establish observability/monitoring for agents and orchestrations: logging, tracing, drift detection signals, agent-specific metrics, and operational dashboards.
• Integrate Microsoft Azure services and Microsoft ecosystem components (with emphasis on Azure AI capabilities and “Foundry” experience where applicable).
• Partner with leadership to clarify expected outcomes/vision and translate them into an executable build plan, architecture decisions, and delivery milestones.
• Operate and support production grade AI solutions to meet availability, reliability, and performance expectation.
• Perform routine model, prompt, and configuration updates within approved change processes.
• Embed Applied AI Evals considerations into the platform: governance hooks, auditability, risk controls, and operational readiness for agents.

Software Developer, AI Agents

• Design, develop, and maintain backend systems using Scala, leveraging Kubernetes for container orchestration
• Architect, deploy, and manage backend applications in a Kubernetes environment to ensure scalability, availability, and resilience
• Implement and enhance microservices architecture for trading applications, promoting modularity and maintainability
• Develop distributed systems to support high-performance and low-latency trading platform requirements
• Implement robust monitoring and logging solutions to track and analyze backend system performance in real time
• Integrate backend systems with various market data feeds, ensuring accurate and timely data for trading activities
• Collaborate with cross-functional teams, including frontend developers, UX/UI designers, and other engineers, to deliver end-to-end trading solutions
• Create and maintain technical documentation for backend systems, Kubernetes configurations, and deployment procedures
• Work directly with project managers to help deliver solutions

Senior Software Engineer II, Trading Services

• Lead the design, implementation, and maintenance of our API lifecycle.
• Engineer robust Infrastructure as Code (IaC) solutions and automated CI/CD pipelines.
• Drive system reliability by leading incident management.
• Shape the long-term technical infrastructure roadmap.
• Provide dedicated support for our mission-critical API services.
• Oversee scalable cloud-native deployments on AWS and GCP.
• Utilize expertise in Java, Python, Kubernetes, and observability tools to build, secure, and optimize our foundational API infrastructure.

Senior Software Engineer, Full Stack, API Gateway, Cloud Operations Resilience Engineering

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems to create solutions that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Lead Software Engineer

• Lead the design, implementation, and maintenance of our API lifecycle, ensuring a seamless experience across our API portal and service ecosystem.
• Engineer robust Infrastructure as Code (IaC) solutions and automated CI/CD pipelines to streamline deployments and eliminate manual operational overhead.
• Drive system reliability by leading incident management, defining technical requirements, and monitoring key performance metrics to ensure platform health.
• Shape the long-term technical infrastructure roadmap, including vendor selection and architectural standards, to ensure alignment with enterprise product goals.
• Provide dedicated support for our mission-critical API services, including advanced policy creation, proactive troubleshooting, and rapid production issue resolution.
• Oversee scalable cloud-native deployments on AWS and GCP, implementing enterprise-grade security standards (such as OAuth 2.0, mTLS, JWT, and JWKS) to safeguard API traffic.
• Utilize your expertise in Java, Python, Kubernetes, and observability tools like Datadog to build, secure, and optimize our foundational API infrastructure.

Senior Software Engineer, Full Stack – API Gateway, Cloud Operations Resilience Engineering

• Own and drive the API product vision and roadmap aligned to Enterprise Architecture
• Act as technical product owner and lead for enterprise and 3PD APIs
• Partner with domain teams and third-party vendors to design and deliver secure APIs
• Provide technical leadership across the API lifecycle
• Collaborate closely with Security, Architecture, Data Engineering, and SRE teams

Technical Lead, Third Party API

• Lead a team of iOS and Android engineers through the full delivery lifecycle: scoping, estimation, architecture, implementation, testing, release, and post-release monitoring.
• Own the mobile technical roadmap, including platform strategy, dependency management, CI/CD pipelines, release cadence, and store submission processes for both Apple App Store and Google Play.
• Set and enforce engineering standards: code review discipline, automated testing coverage (unit, integration, UI/E2E), crash-free session targets, performance budgets, and accessibility compliance.
• Drive a test-first culture. You are responsible for defining what "done" means and ensuring the team meets it. Expect to defend coverage thresholds and reject work that does not.
• Operate as an AI-first engineer and require the same of your team. Use Cursor, Claude Code, GitHub Copilot, or equivalent for code generation, refactoring, test scaffolding, and review.
• Establish team norms for prompt patterns, model selection, review of AI-generated output, and where AI tooling should and should not be trusted.
• Partner with product, design, backend, QA, and DevOps to translate ambiguous requirements into concrete, shippable work.
• Coach and grow engineers through 1:1s, pairing, structured feedback, and performance reviews. Hire when needed.
• Be the escalation point for production incidents affecting mobile clients.

Mobile Engineering Team Lead

• Set and evolve the technical architecture for IAA’s data platform.
• Personally design and build complex data pipelines and components.
• Define engineering standards and patterns across architecture and code quality.
• Lead the design and implementation of robust data products.
• Build the production-grade data pipelines and infrastructure for data scientists.
• Diagnose and resolve performance and scalability challenges.
• Drive technical strategy across Microsoft Fabric and Azure BI technologies.
• Mentor and grow data engineers and analytics engineers.

Principal Software Engineer

• Design and build major data systems, pipelines, frameworks, and reusable components, owning architecture within your area and contributing to platform-wide design alongside the Director Data Engineering.
• Personally deliver complex, high-impact data engineering work on IAA’s Azure data and analytics stack — ingestion, transformation, storage, semantic modeling, and data delivery.
• Apply and help refine engineering standards and patterns across code quality, performance, scalability, observability, and governance, and drive their adoption through example and code/design review.
• Build robust pipelines, semantic models, and data products that power dashboards, self-service analytics, forecasting, and downstream machine learning systems.
• Build the production-grade data pipelines and feature/data infrastructure that data scientists rely on to train, serve, and operationalize models.
• Diagnose and resolve difficult performance, reliability, and scalability challenges across BI and data workloads (e.g., Power BI, Synapse, Fabric).
• Contribute to technical strategy across Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, helping evaluate new tools and inform build/buy decisions.
• Mentor data engineers and analytics engineers, conducting design reviews and helping elevate the technical capability of the team.
• Serve as a technical partner to engineering leadership on data architecture and technical tradeoffs within your scope.
• Translate complex business problems into practical, scalable, and well-architected data solutions.

Senior Staff Software Engineer

• Lead the design and delivery of large-scale software initiatives.
• Drive architecture and technical decisions across multiple teams.
• Build scalable, reliable, and maintainable backend systems.
• Partner with Product, Engineering, and Leadership stakeholders.
• Mentor engineers through technical guidance, design reviews, and best practices.
• Improve system performance, reliability, and operational excellence.
• Help define engineering standards and contribute to technical strategy.

Staff Software Engineer – US SaaS

• Participate in a cross-shore development team
• Review Pull requests and provide feedback to developers
• Owns and works with dev team on deliverables
• Control and improve the code quality in the team
• Implement culture of learning in the team
• Influence and collaborate to create amazing API’s
• Participate in Agile scrums with cross-functional teams
• Participate and contribute in Agile sprints including planning, daily standups, backlog grooming sessions and reviews
• Analyze production defects, troubleshoot systems, identify root cause and implement fixes
• Work with third party vendors to develop software and/or integrate their software into our products
• Perform other duties and/or special projects as assigned

Software Development Engineer – II

• Defines, analyzes, and evaluates organizational needs relating to AI-enabled solutions, automation, and collaboration technologies.
• Partners with stakeholders to gather requirements and design scalable, secure, and maintainable AI applications.
• Leads development of modern solutions using C# and .NET Core/.NET 8.
• Develops and deploys cloud-native applications on Azure using: Azure Web Apps / App Services, Azure Function Apps, Durable Functions for orchestrated AI workflows.
• Implements event-driven and distributed system patterns leveraging: Azure Service Bus Asynchronous messaging and integration frameworks.
• Builds AI-powered solutions using: Azure AI Foundry, Azure OpenAI (chat models, embeddings, vector search), Retrieval-Augmented Generation (RAG) architectures, AI agents and orchestration frameworks.
• Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and workflows.
• Designs and maintains secure APIs and backend services integrating with: Azure SQL Database, Enterprise document repositories and business systems.
• Builds containerized workloads using Docker and supports modern deployment strategies.
• Implements observability, telemetry, and performance monitoring through: Azure Application Insights, Logging, tracing, and alerting best practices.
• Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments.
• Supports Azure governance and security requirements, including identity, compliance, and networking controls.
• Provides quality assurance, documentation, and knowledge transfer for developed AI systems.
• Responds to escalated production issues and provides technical leadership in root cause resolution.
• Other duties as assigned by IT leadership.

Software Developer

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets
• Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets
• Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development
• Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling
• Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage
• Help define and enforce standards for data modeling, documentation, and governance within the semantic layer

Staff Software Engineer – Semantic Data Team

• Partners with product management to craft product strategy, create product descriptions and ensure alignment to technology roadmaps.
• Be a thought leader: a senior point of expertise on software engineering issues, industry trends and developing technologies.
• Be a role model to others on the team.
• Coach and mentor team members.
• Takes ownership for creating technical product design and architecture.
• Creates and conducts presentations for small-to-medium size groups.
• Works closely with customers to understand their needs and create a partnership for making Early Warning products better.
• Partners with software engineering, product, and architecture to shape engineering approaches, share knowledge and experience.
• Develop, scope and shape a departmental-wide technical vision for the future.
• Design / Engineer product / application service solutions in alignment with technology strategy roadmap (example, cloud, containerization, CI/CD and automated testing) keeping futuristic business growth, ease of maintenance, operational readiness and self-service enabled.
• Collaborate and build relationships cross-functionally to influence and motivate others; serve as an internal catalyst for progressive, strategic and successful change management.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Principal Software Engineer – AWS

• Lead backend architecture and system design, proactively proposing and driving new systems that support critical customer facing features
• Take point on initiatives, owning the backend roadmap, driving technical decisions, and coordinating cross-functional delivery
• Optimize existing systems for performance, reliability, and cost. You treat production health as a first-class priority, not an afterthought
• Serve as the team's technical anchor: set engineering standards, lead design reviews, unblock teammates
• Manage technical roadmap and problems of significantly larger scope, from formulating an efficient game plan to delivering stable, well-tested features on time
• Make technical recommendations that improve the codebase while minimizing risk; identify and fix (or ideally prevent) bugs and performance bottlenecks
• Coordinate and communicate seamlessly across engineering, product, and design teams
• Leverage AI coding tools (Claude, Codex, etc.) to accelerate development velocity for yourself and the team

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