Skillsacross the landscape.

Designs inclusive experiences that meet accessibility standards.

Works with engineering teams through iterative delivery practices.

Facilitates Scrum and Kanban practices, ceremonies, and continuous improvement.

Builds controlled tool-using and multi-step AI systems.

Evaluates task quality, safety, regressions, and model trade-offs.

Sets the rules under which the organization builds, buys, and runs AI systems.

Mitigates prompt injection, data leakage, unsafe actions, and supply risks.

Uses AI coding assistants and agentic tools to accelerate development while verifying and owning their output.

Selects data structures and algorithms with understood complexity.

Decides how the organization measures itself and who gets to answer which questions.

Defines stable HTTP, RPC, and event-driven service contracts.

Documents APIs with accurate references, examples, and quickstarts.

Integrates secure design, coding, testing, and dependency controls.

Protects browser, service, identity, and data boundaries.

Records options, trade-offs, and consequences for consequential decisions.

Owns architectural direction and the standards teams build against, without designing every system.

Eliminates repetitive operational work with maintainable software.

Builds server-side application and domain logic.

Implements maintainable server-side applications in a production language.

Meets recovery objectives through tested protection and restore procedures.

Builds scalable bounded and unbounded data pipelines.

Understands consensus, cryptography, and distributed ledger architecture.

Explains technology bets, risk, and spend to boards and executives in terms they can act on.

Understands rendering, events, networking, storage, and compatibility.

Estimates, tracks, and reports project costs.

Decides what to build, buy, or outsource, and owns the consequences of each choice.

Delivers governed metrics and usable analytical products.

Builds and maintains reports in BI platforms for self-service consumption.

Supports adoption of new systems and processes across the organization.

Selects cloud service patterns that satisfy availability, scalability, and cost constraints.

Selects and operates virtual-machine, container, and serverless compute services.

Designs connectivity, traffic flow, and isolation for cloud workloads.

Maintains service health, capacity, upgrades, and recovery procedures.

Applies identity, least privilege, workload protection, and policy controls.

Selects and operates durable storage for workload requirements.

Grows engineers through regular one-on-ones, feedback, and career support.

Keeps stakeholders informed with the right detail at the right cadence.

Builds and nurtures developer communities across channels.

Understands workstation components, peripherals, and common failures.

Deploys and operates cloud-native workloads on orchestrated platforms.

Plans documentation coverage, lifecycle, and maintenance.

Builds reliable pipelines for validation, packaging, and deployment.

Runs trustworthy quality gates within CI/CD pipelines.

Leads the organization through breaches and major incidents, including what gets said and to whom.

Partners with product, design, and leadership on direction and staffing.

Evaluates and uses shared-runtime mobile frameworks appropriately.

Uses SQL and spreadsheets to quantify problems and options.

Detects and resolves quality issues before analysis.

Establishes ownership, policy, and decision rights over data across the organization.

Decides how long data is kept, where it lives, and when it is archived or destroyed.

Designs reusable dimensional and semantic analytical models.

Schedules, coordinates, retries, and observes pipeline work.

Integrates reliable data processing with training and inference.

Uses Python or R to build reproducible analyses.

Tests assumptions, freshness, lineage, and model contracts.

Makes data trustworthy, discoverable, traceable, and controlled.

Frames analysis as narratives that drive decisions with stakeholders.

Connects data investment to business outcomes instead of collecting data for its own sake.

Communicates quantitative findings accurately and efficiently.

Works effectively with analytical storage and compute platforms.

Cleans, reshapes, and validates heterogeneous data.

Protects database identities, privileges, encryption, auditing, and data.

Models data and uses transactions, indexes, and persistence systems correctly.

Isolates and corrects defects using evidence and reproducible techniques.

Uses debuggers, logic analyzers, and traces to diagnose firmware.

Builds and deploys applications through automated pipelines.

Shapes planning, prioritization, and execution rhythms for the team.

Builds and maintains reusable components and design tokens.

Works fluently in modern collaborative design tooling.

Supports Windows, macOS, and common desktop configuration.

Designs learning paths, workshops, and hands-on labs.

Understands code and tooling well enough to verify what is documented.

Reduces cognitive load and friction across software delivery workflows.

Audits onboarding, docs, and APIs from the developer's perspective.

Communicates specs and collaborates with engineers through delivery.

Secures boot, storage, communication, and update paths on devices.

Collects and analyzes evidence to reconstruct security events.

Reasons about consistency, failure, messaging, and service boundaries.

Manages documentation in version control with review and CI workflows.

Works with static site generators, markup formats, and publishing pipelines.

Integrates devices with cloud IoT platforms and data pipelines.

Reviews content for accuracy, consistency, and style compliance.

Writes efficient C, C++, or Rust for resource-constrained targets.

Validates critical user and system workflows in representative environments.

Provisions, configures, patches, and secures managed endpoints.

Uses delivery, quality, and developer-experience signals to steer engineering across teams.

Uses delivery and quality signals to improve how the team works.

Keeps the application and integration estate coherent as the business changes.

Designs experiments and interprets causal evidence responsibly.

Identifies and safely exploits vulnerabilities within agreed scope.

Investigates distributions, relationships, anomalies, and data limitations.

Produces reliable training and serving features from raw data.

Channels community pain points into actionable product input.

Structures components, state, data flow, and application boundaries.

Builds accessible browser interfaces with modern web technologies.

Shapes rules, balance, progression, and player experience.

Builds with engines like Unity, Unreal, or Godot and their toolchains.

Applies linear algebra, geometry, and physics to game systems.

Implements mechanics, physics, input, and game state logic.

Compares current state against goals to identify what must change.

Operates AI applications with observability, cost, release, and incident controls.

Works with rendering pipelines, shaders, and real-time performance.

Works with buses and protocols like I2C, SPI, UART, and CAN.

Designs replication, failover, and maintenance for service continuity.

Designs fair interview processes and builds strong, diverse teams.

Builds semantic, maintainable, responsive document and presentation layers.

Resolves account, authentication, authorization, and directory issues.

Reviews authentication, authorization, and privilege hygiene.

Administers users, groups, policy, and directory-backed access.

Coordinates detection, mitigation, communication, and learning during incidents.

Triages, contains, and remediates security incidents methodically.

Diagnoses query behavior and tunes indexes, plans, and resources.

Structures content and navigation so users find what they need.

Structures documentation so readers find answers fast.

Provisions cloud resources through reviewed and reproducible definitions.

Designs stable APIs and integration patterns between systems.

Defines flows, states, and behaviors across user journeys.

Designs cohesive self-service platform capabilities and golden paths.

Connects devices with protocols like MQTT, BLE, LoRa, and Wi-Fi.

Tracks hardware, software, and license estates so spend and compliance stay defensible.

Runs IT as a set of defined services with owners, levels, and lifecycles rather than tickets.

Implements browser applications with robust language and type-system practices.

Creates reusable support knowledge and accurate operational documentation.

Understands transformer behavior, context, limitations, and model selection.

Configures and maintains Linux hosts and services.

Selects and trains suitable predictive models.

Assesses competitors, positioning, and opportunity size.

Keeps core business entities consistent across the systems that disagree about them.

Designs asynchronous workflows using queues and event streams.

Programs MCU peripherals, interrupts, and low-level drivers.

Implements models with production-relevant training frameworks.

Makes training and release workflows reproducible and governed.

Structures state, navigation, persistence, networking, and platform integration.

Automates builds, signing, release channels, and store delivery.

Understands mobile lifecycles, platform constraints, and interaction models.

Protects application code, local data, transport, and credentials.

Tests application behavior across devices, operating systems, and integrations.

Selects prompting, retrieval, and fine-tuning appropriately.

Evaluates generalization, uncertainty, bias, and operational usefulness.

Detects drift, degradation, and operational failures.

Serves models with appropriate latency, scale, and reliability.

Builds networked gameplay with synchronization and latency handling.

Builds applications using Android or iOS platform tools and conventions.

Manages network configuration and validation through code and APIs.

Attacks network services, protocols, and segmentation controls.

Applies segmentation, filtering, secure access, and traffic inspection.

Operates DNS, DHCP, NTP, load balancing, and related services.

Configures and diagnoses host and service connectivity.

Uses cloud and workload telemetry to diagnose behavior and failures.

Designs indexers, oracles, and storage that complement on-chain logic.

Understands processes, memory, filesystems, boot, and system interfaces.

Shapes team boundaries, ownership, and interfaces so the org can deliver what the strategy needs.

Ships reliable firmware updates to fleets in the field.

Sets expectations and addresses underperformance with clarity and care.

Profiles and optimizes for frame rate, memory, and load times.

Measures behavior under load and identifies capacity limits.

Operates at least one production database platform deeply.

Defines stable, discoverable contracts for platform capabilities.

Applies platform-as-a-product principles and measures developer outcomes.

Extends platform capabilities through APIs, controllers, automation, and reusable abstractions.

Manages platform lifecycle, capacity, upgrades, backup, recovery, and incident response.

Ships builds to PC, console, mobile, and web storefronts.

Builds identity, policy, isolation, secrets, and supply-chain controls into secure platform defaults.

Makes explicit trade-offs across value, effort, and risk.

Holds the organization to its obligations over personal data, end to end.

Models uncertainty and draws justified conclusions from samples.

Maps current and future business processes and data flows.

Identifies and validates problems worth solving through user evidence.

Defines and tracks metrics that measure product health and impact.

Operates distributed services safely through change and failure.

Implements correct programs using appropriate language constructs and paradigms.

Breaks work into schedules, milestones, and resource plans.

Designs structured model instructions and interaction patterns.

Applies layered models, Ethernet, IP, TCP, UDP, and subnetting.

Creates interactive prototypes to validate ideas before build.

Presents at conferences, meetups, and streams with clarity and energy.

Automates and extends analysis with notebooks and data libraries.

Builds concurrent firmware with RTOS scheduling and synchronization.

Maps attack surfaces through passive and active information gathering.

Translates legal and regulatory obligations into controls the organization can evidence.

Understands schemas, normalization, constraints, and data integrity.

Makes releases repeatable, traceable, and safe to promote or roll back.

Designs services and operating practices around explicit reliability risks.

Documents findings with impact, evidence, and actionable remediation.

Translates problems into clear specs, user stories, and acceptance criteria.

Writes unambiguous specifications, user stories, and acceptance criteria.

Draws out real needs through interviews, workshops, and observation.

Ensures AI systems are fair, transparent, accountable, and compliant with governance requirements.

Grounds model responses in retrieved authoritative information.

Identifies, tracks, and mitigates risks before they become issues.

Sequences outcomes and bets into a communicable product roadmap.

Designs and operates routing with appropriate protocols and policy.

Writes demos, SDK-quality examples, and reference integrations.

Controls scope changes and keeps delivery commitments realistic.

Defines rules of engagement and operates within legal boundaries.

Automates testing workflows and adapts offensive tooling.

Integrates identity, data protection, and threat mitigations into designs.

Proves controls work through metrics, audit evidence, and independent testing.

Applies standards and compliance frameworks to assess posture.

Sets policy, standards, and program direction, and measures whether controls hold in practice.

Operates SIEM and detection tooling to spot suspicious activity.

Uses detection and incident response to contain active threats.

Applies threat, risk, least-privilege, and defense-in-depth models.

Quantifies security risk and decides what to remediate, transfer, or accept.

Integrates vulnerability-focused tests into delivery feedback.

Keeps critical services recoverable through continuity planning and tested recovery.

Manages incidents, requests, escalation, and user communication.

Decides which IT services to offer, invest in, consolidate, or retire.

Protects APIs, identities, dependencies, and sensitive data.

Defines service indicators, objectives, and error-budget policies.

Prevents and audits common vulnerabilities in on-chain code.

Writes and tests contracts in languages like Solidity or Rust.

Tests human-layer defenses through phishing and pretexting engagements.

Integrates build, release, and deployment workflows into platform capabilities.

Applies modularity, abstraction, patterns, and architectural boundaries.

Defines system boundaries, responsibilities, constraints, and quality attributes.

Validates delivered solutions against requirements and business value.

Uses collaborative version-control practices as the basis of delivery automation.

Models, cleans, and explores data with advanced spreadsheet techniques.

Expresses complex analytical transformations clearly and efficiently.

Communicates designs and trade-offs to technical and business audiences.

Aligns leadership, customers, and teams around decisions.

Applies descriptive and inferential statistics to validate findings.

Operates filesystems, storage, backup, and recovery.

Designs and operates resilient switched networks.

Selects components and interaction patterns for scalable systems.

Removes blockers and enables teams to deliver without friction.

Builds psychological safety, motivation, and sustainable pace.

Produces tutorials, talks, videos, and blog posts developers trust.

Guides architectural and technical trade-offs without micromanaging.

Plans hiring, leveling, and progression so capability arrives before it is needed.

Explains complex systems in plain, precise, audience-appropriate language.

Plans and defends the technology budget across capital, run cost, and headcount.

Names the technology risks worth carrying and the ones worth spending to remove.

Sets a technology direction the business can bet on, and revisits it when reality moves.

Builds maintainable automated test systems and data.

Selects test layers and evidence appropriate to product risk.

Verifies service behavior through unit, integration, and end-to-end tests.

Tests contracts against forks and deploys through audited pipelines.

Assesses and monitors the risk carried by suppliers, platforms, and the software supply chain.

Tracks attacker techniques and applies them to defensive priorities.

Identifies trust boundaries, abuse cases, and proportionate mitigations.

Implements token and NFT standards and their economic implications.

Engineers load balancing, content delivery, and global traffic flow.

Manages isolation, locking, consistency, and concurrent workloads.

Builds modular, versioned transformations with dbt-style practices.

Diagnoses packet, protocol, path, and service failures.

Builds fast tests around components and their boundaries.

Plans and runs interviews, surveys, and usability tests to understand users.

Coordinates external suppliers, contracts, and deliverables.

Collaborates through source control and effective code review.

Administers hypervisors and virtual machines across on-premises and hybrid environments.

Applies typography, color, and layout to create coherent interfaces.

Identifies, prioritizes, and tracks remediation of weaknesses.

Selects and structures analytical storage platforms.

Probes web applications and APIs for injection, auth, and logic flaws.

Measures and improves loading, rendering, and interaction latency.

Prevents browser and application-layer vulnerabilities.

Connects frontends to chains through wallets, providers, and SDKs.

Configures and maintains Windows Server environments.