Senior Staff Engineer - Lead AI Engineer

Nagarro is hiring a Senior Staff Engineer to lead AI-focused initiatives in New York City. This position centers on steering teams as they design and deliver advanced artificial intelligence solutions. Role overview This role involves taking charge of major AI projects, shaping technical direction, and ensuring high standards throughout the development process. The Senior Staff Engineer will help teams translate complex requirements into practical, AI-powered products that strengthen Nagarro's portfolio. What you will do Guide and mentor engineering teams working on artificial intelligence projects Drive the development of new AI solutions to improve existing offerings Oversee project execution from concept through deployment Requirements Extensive experience in artificial intelligence engineering Strong leadership skills in technical team settings Ability to manage and deliver complex AI-driven projects

Vibecode is on a mission to make artificial intelligence accessible to 100 million more people. The team is dedicated to using advanced technology to inspire and educate, with a focus on the possibilities of AI-assisted coding. Role overview This New York City-based role centers on exploring how AI tools can influence the future of coding and design. The work involves building scalable design systems and paying close attention to visual details that set products apart. What you will do Use AI coding tools such as Cursor, Claude Code, and Codex to build and refine design systems. Work with fine design details, including subtle color distinctions (for example, #1f1f1f vs. #1d1d1d). Apply a strong sense of aesthetics and design judgment throughout your projects. Support the design process with Figma as needed. Who thrives here People who are deeply curious about technology and often pursue projects late into the night. Those with a strong work ethic who enjoy collaborating with a dedicated team and tackling challenging problems. Individuals who stay humble, take on any task, and value input from others.

THE ROLE:As a pivotal member of our team, you will transform the interaction dynamics between life sciences organizations and agents. Your creativity will help craft innovative experiences that seamlessly integrate into daily workflows. You will engage with cutting-edge models and develop interfaces that empower users to harness their capabilities effectively.WHAT WE ARE LOOKING FOR:Analytical Thinkers: You possess a comprehensive approach to problem-solving, effectively balancing business and technical considerations.Technology Agnostic: You appreciate technology for its practicalities and are open to learning and adapting to new tools and ideas.Self-Motivated and Organized: You thrive in situations of ambiguity and take initiative to create meaningful impact.Product Ownership: You take responsibility for the quality and usability of the products you create, demonstrating pride in your work.Determined: You are relentless in pursuing goals, overcoming obstacles with perseverance.YOUR KEY RESPONSIBILITIES:Manage retrieval of vast document scales with diverse formats (graphs, tables, diagrams, etc.)Develop organizational interfaces to enhance collaboration with AI, integrating into everyday workflowsDesign and implement strategic planning tools involving human oversightWork directly with enterprise clients to create product experiences that automate routine tasksAssess large language models across various life science tasksEnsure government-level data security for sensitive informationConduct internet-scale data collectionDESIRABLE QUALIFICATIONS:Experience in a rapidly growing early-stage startup environment.Background in building agents or fine-tuning language models for complex tasks.Experience in developing large-scale content indexing systems.Familiarity with API development and integrations.

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

Why Choose Shiftsmart?Join Us in Revolutionizing Labor. At Shiftsmart, we are developing a groundbreaking labor platform that combines comprehensive workforce management technology with an expanding global network of 5 million flexible workers. This innovative approach creates scalable labor solutions for industry giants such as Circle K, Pepsi, Dollar General, and Starbucks. With our unique business model, we break down jobs into manageable shifts, facilitating easy worker mobility across various companies via our digital marketplace. As one of the fastest-growing startups in the nation, we have achieved remarkable growth, scaling 2-3 times annually since inception, and have secured over $120 million in funding from esteemed investors like D1 Capital and Imaginary Ventures. And this is just the beginning.Our Mission: To establish the world's foremost platform for hourly workers and enterprises, promoting flexibility, choice, and upward social mobility.Embark on a Journey with Us. This is an exceptional chance to join a rapidly evolving company that is transforming the hourly labor landscape while seizing a $2 trillion opportunity in the US alone.Take Ownership and Make an Impact. Collaborate with a team that encourages and challenges one another to build a successful business while creating flexibility and opportunities for workers worldwide.Chart Your Career Path. Experience accelerated growth and learning alongside a world-class team comprised of alumni from leading tech firms (e.g., Uber, Airbnb, Google, Amazon), top business schools (e.g., Harvard Business School, Stanford GSB, Wharton), and premier consulting firms (e.g., Bain, BCG, Goldman Sachs).Hone Your Execution Skills. We believe in the mantra that #ExecutionIsBinary, and we are committed to helping you develop this critical skill for your career and beyond.Role Mission: This position is integral to our Engineering Team, empowering Shiftsmart to proactively identify and creatively address challenges across various functions, delivering solutions that have a significant impact on our customers and users. Our mission is straightforward: to build the world's leading platform for hourly workers and enterprises, fostering flexibility, choice, and upward social mobility.This role is based in New York City (HQ) with a typical requirement of 4+ days per week in the office.

Join Deeptune’s Innovative TeamAt Deeptune, we are pioneering the development of high-fidelity training environments for AI agents, enabling them to learn real-world tasks through advanced reinforcement learning techniques. Collaborating with leading AI laboratories, we are at the forefront of training the next generation of agentic models, contributing to significant advancements in computer operations, code generation, and complex task execution.Our close-knit team of around 20 talented engineers and operators, hailing from prestigious organizations such as Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, is based in New York City. Recently, we successfully secured $43 million in Series A funding, led by Andreessen Horowitz, with contributions from 776, Abstract Ventures, and Inspired Capital.If you are eager to tackle some of the toughest challenges at the intersection of reinforcement learning and practical AI implementation, we would love to connect with you!Learn more: Fortune Exclusive on Our Series A | a16z: Why We’re Investing in Deeptune

About Our TeamAt OpenAI, the Forward Deployed Engineering (FDE) team is at the forefront of transforming groundbreaking research into robust production systems. We collaborate closely with our clients to tackle high-impact challenges, functioning as the driving force behind our most intricate large-scale projects. Our agility allows us to swiftly transition from prototype stages to production, establishing reusable patterns that enhance our platform. Our work bridges the gap between deployment and development, enabling us to partner effectively with OpenAI Research, Product, and Partnerships.About the RoleAs a Technical Deployment Lead (TDL), you will be instrumental in shaping how OpenAI delivers sophisticated systems to our customers. You will take full ownership of their construction, delivery, and adoption processes. Your role will involve translating business objectives into comprehensive technical plans, overseeing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure our deliverables meet their objectives.You will manage the complete delivery process: working alongside customers to outline workflows and success metrics, ensuring timely shipment of components, and leading readiness and change management initiatives for effective adoption. Your responsibilities will include monitoring progress, managing dependencies, making sequencing decisions, and driving the development of prototypes from inception to minimum viable product (MVP) and full-scale implementation. Additionally, you will share valuable field insights with Product and Research teams to inform roadmap decisions and priorities.Your success will be evaluated primarily by the impact of deployments that yield tangible value against customer objectives, encourage adoption, and become integral to their operational workflows. Additional success metrics will include reliability of delivery (meeting milestones, minimal reopen/churn), operational efficiency (reusable patterns across deployments), decision-making under pressure, and product impact (field insights that influence roadmaps and architectures).This role demands a high level of trust and autonomy. To thrive, you will need extensive technical project management expertise, a profound sense of ownership over outcomes, and the ability to immerse yourself in customer workflows while collaborating with teams to address complex engineering challenges promptly.This position is based in New York City, utilizing a hybrid work model that requires three days in the office per week. Relocation assistance is offered, and travel is expected to range between 25% to 50%.

Join Eagle as a Member of Technical Staff!Eagle is revolutionizing the built environment, akin to Pixar Studios, by integrating advanced AI into civil, structural, and MEP engineering. With the support of Lightspeed Venture Partners, we acquire and transform engineering firms to tackle some of the world’s most pressing infrastructure, energy, and climate challenges.Our mission is to equip engineers with cutting-edge tools that enhance their capabilities and streamline their processes. By leveraging AI, we aim to close the automation gap in engineering, where currently less than 5% of tasks have been automated.As a Member of Technical Staff, you will collaborate closely with our founders to develop Cortex, our innovative data platform. You will work alongside experienced engineers to create systems that make institutional knowledge accessible, automate quality assurance, and produce engineering deliverables efficiently.Your Responsibilities:Develop and implement core components of our platform, including data connectors and document intelligence for AEC artifacts.Lead the creation of systems across LLM pipelines, document parsing, and backend infrastructure.Collaborate with design partners, delivering your work for immediate use by engineers.Research and apply emerging AI frameworks and methodologies.Contribute to fostering a positive engineering culture.

Join dualentry as a Lead Technical Writer and play a pivotal role in shaping our documentation standards. In this position, you will be responsible for creating clear and comprehensive technical documentation that meets the needs of our users. You will collaborate with cross-functional teams to gather information, understand complex technical concepts, and translate them into user-friendly content.

Join Duet as a Technical Lead!Duet is pioneering a revolution in primary care by empowering nurse practitioners (NPs) to take ownership of their practices. Our mission is to create a supportive ecosystem through personalized products and services, ultimately establishing the largest network of NP-led practices in the nation and enhancing patient outcomes across communities.About UsAs a well-funded seed-stage venture led by seasoned entrepreneurs and nurse practitioners, Duet has gained backing from notable investors like Kairos HQ and Lerer Hippeau. We're developing a comprehensive enablement platform for NP-led practices, featuring innovative software that minimizes administrative burdens, optimizes cash flow, and empowers clinicians to run sustainable businesses independent of corporate pressures.With a robust data infrastructure already established, connecting outpatient EHR and practice management systems, we are poised to enhance these workflows through transformative services. This position is crucial for advancing our technical vision into scalable, self-serve products while cultivating a high-performing team.Your RoleAs the Technical Lead, you will be the chief architect behind Duet's product engineering stack. You will lead a dedicated team of data and engineering professionals, guiding technical direction while remaining actively engaged in coding and development. This is a hands-on role that combines leadership with the passion for building.You will take charge of the architecture that drives Duet's customer-facing products, which include data-intensive applications that present intricate healthcare and practice management information through intuitive user interfaces. Your responsibilities will span the entire technology stack, from backend systems and data pipelines to the application interfaces utilized by clinic staff daily.Reporting directly to the founding team, this role is perfect for an individual who possesses a systemic mindset, thrives under pressure, and is energized by transforming complex real-world challenges into structured software solutions.Your ResponsibilitiesDefine Technical Strategy: Lead architectural decisions across the technology stack, from data extraction from EHR and practice management systems to backend services and business logic, all the way to the presentation layer in customer-facing applications. Make informed choices that effectively balance speed and reliability within an early-stage environment. Establish scalable engineering standards and practices as the team expands.Develop Data-Driven Products: Design and execute backend systems that convert complex healthcare data into actionable insights.

About the Role normalcomputing is hiring a Technical Community Lead in New York City. This person will help build and support our technical community, encourage active participation, and make sure members have the resources and support to succeed. What You Will Do Foster engagement and collaboration among technical community members Promote knowledge sharing and open communication Act as a main point of contact for community questions and feedback Help connect members with the resources they need Location This position is based in New York City.

Our MissionAt ReflectionAI, we are dedicated to creating open superintelligence and ensuring its accessibility to everyone.Our innovative team, comprised of AI experts and industry pioneers from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic, is on a mission to develop open-weight models tailored for individuals, enterprises, and even nation-states.FoundationsVision:Our goal is to establish and manage a comprehensive foundations platform that empowers all teams by delivering dependable, scalable developer infrastructure, site reliability engineering (SRE) capabilities, and efficient data ingestion tools, allowing ReflectionAI to accelerate its growth and capabilities.Team ObjectivesWe focus on developing both internal and customer-facing product interfaces that transform our platform's capabilities into practical workflows. This position bridges engineering and product development, converting vague requirements into structured, operable systems and advancing concepts from initial prototypes to robust production components.Design and implement internal product interfaces such as dashboards, administrative tools, and self-service workflows.Oversee the complete delivery process encompassing UI, APIs, authentication, role-based access control (RBAC), and audit trails.Facilitate integration with customer environments and related systems to assure seamless workflows.Transform prototypes into reliable, maintainable, and operable platform components.Clarify ambiguous product requirements into precise system designs and user interfaces.Incorporate delivery insights back into platform patterns and defaults to expedite future releases.Technologies You Will Work WithFull-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, and API design.Authentication & Governance: OIDC authentication, RBAC, and audit logging.Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, and customer integrations.Monitoring & Developer Tools: Dashboards, observability tools, experiment tracking systems, and metrics/log visualization.About YouA solid full-stack engineering foundation with hands-on experience in delivering production-quality applications end-to-end.Proficient in managing the entire delivery surface effectively.

Role Overview On Running AG is seeking a Lead Technical Representative based in New York City. This position plays a central role in advancing On's strategic growth across the region. The Lead Technical Representative reports to the Senior Lead Technical Representatives within the Brand Experience team and guides a group of Technical Representatives. The focus: deliver outstanding service to key wholesale partners and foster strong brand loyalty in local communities. This role combines project leadership with hands-on coaching, ensuring On's premium standards are upheld in every training, trial, and retail interaction. Main Responsibilities Oversee and grow a regional team of Technical Representatives, handling recruitment, onboarding, and ongoing development to drive strong results. Mentor team members to deepen their technical expertise, strengthen relationship-building skills, and support their career progression within Brand Experience. Lead the delivery of high-quality dealer training programs, including Oniversity and Key Account Summits, maintaining consistency and brand standards across the region. Serve as a strategic contact for major national accounts, offering specialized education and integrated marketing support. Use tools such as Salesforce, ThirdChannel, and Asana to monitor team performance, spot potential risks, and provide data-driven recommendations. Work closely with Sales, Marketing, Trade, and Operations teams to ensure grassroots initiatives support larger seasonal campaigns and business goals. Develop new ways to engage retailers and consumers, challenging traditional technical representative programs to create memorable experiences. Manage complex regional projects and budgets, making the most of resources to increase product trials and community involvement.

Role overview Axonius, Inc. is seeking a DevOps Technical Lead for a fully remote position connected to its New York City headquarters. The role centers on building and refining technology solutions that support the company’s cybersecurity asset management platform. This position combines hands-on technical leadership with the responsibility of solving complex infrastructure and operational problems. What you will do Design and architect cloud infrastructure with a focus on scalable, secure deployment patterns and smooth integration across related systems. Develop and configure networking architecture to support distributed services within the Axonius platform, primarily using AWS. Build Infrastructure as Code frameworks for automated, consistent provisioning, using tools such as Terraform and AWS CloudFormation. Set up and maintain continuous integration automation to streamline development, testing, and deployment workflows. Lead configuration management architecture, ensuring reliable and auditable system configurations across all environments, with Ansible as a main tool. Create and maintain local and staging development environments that deliver a consistent experience for over 200 internal users. Design monitoring architectures to provide visibility and actionable insights across all systems. Location This is a remote role based in the NYC area, reporting to the New York headquarters.

At Smith Engineering, we are on a mission to foster a sustainable future through enhanced operations and efficiency in critical facilities. With over a decade of experience in central plant design and optimization, we have built a strong reputation for unraveling facility challenges and optimizing plant performance. Our multidisciplinary team combines expertise in design, energy management, controls, and workforce development to empower our clients to achieve their operational and sustainability objectives.We are currently looking for passionate and knowledgeable Part-Time Technical Trainers to join our dynamic team in the New York Metro area. In this role, you will work from our Manhattan office as well as various client sites, delivering impactful training in renewable energy and Chiller Plant Design.Your RoleAs a key member of our Training Group, you will contribute to building a top-tier technical training organization. We seek individuals who possess credible technical expertise and a knack for creating engaging learning experiences tailored to diverse audiences.

Vibecode aims to make AI-assisted coding accessible to millions more people. The team, based in New York City, explores ways to inspire a broad audience through technology and creative outreach. Role overview This Technical Staff Member position centers on Growth & Content. The role brings together research, content creation, and practical work with the latest AI technologies. Projects often involve both technical and creative problem-solving, with a focus on sharing insights and fostering community engagement. What you will do Research new technologies and evaluate their real-world applications Test and refine early-access AI models and runtimes to enhance performance Create in-depth educational and inspirational content for platforms like YouTube, X, Instagram, and LinkedIn Develop original projects that blend multiple AI tools in inventive ways Use a strong visual approach to ensure work is distinctive and polished Location This role is based in New York City.

Reddit brings together millions of people around shared interests and conversations. With more than 100,000 active communities and about 121 million daily unique visitors, Reddit stands as one of the largest online forums for information and discussion. More details are available at www.redditinc.com. Role overview The Android Platform team at Reddit sets the technical direction for Android development company-wide. This group is responsible for building and maintaining the Reddit Android app, as well as the libraries, frameworks, observability tools, and build/CI systems that support reliable and engaging user experiences. As Lead Staff Android Engineer - Clients Platform, this role provides technical leadership within the Android organization. The primary focus is on three areas: Client Health (including crashes, ANRs, and performance), Developer Experience, and App Architecture. What you will do Architect the Reddit Android app to scale for over 100 million daily active users. Design tools, workflows, and CI integrations to streamline Android development and release processes. Establish and implement guardrails such as lint/static analysis, tests, and AI-assisted reviews to catch issues early. Build and improve foundations for client health and observability, including events, traces, and dashboards. Integrate AI into engineering workflows, such as code review and static analysis, to boost productivity. Mentor Android engineers through design reviews, documentation, and sharing knowledge about platform capabilities. Requirements At least 8 years of experience in Android development, with a track record of technical leadership. Deep understanding of Android architecture, libraries, and tools. Ability to improve developer efficiency and code quality through creative tooling and process improvements. Experience with observability tools and metrics. Strong interest in mentoring and developing engineering talent. Location New York City, NY