SDE Roadmap

Values, control flow, memory, runtime behavior, and the mental models that make code predictable.

Use asymptotic analysis, profiling, and measurement to explain time and space trade-offs.

Reproduce failures, isolate causes, write focused tests, and make fixes that stay fixed.

Use branches, commits, pull requests, and reviews to collaborate without losing context.

Improve names, boundaries, duplication, and complexity while preserving observable behavior.

Model collections and lookup problems with arrays, strings, maps, and sets.

Choose linked structures, stacks, and queues for ownership, ordering, and traversal problems.

Use recursion, invariants, heaps, and tries to model hierarchical and priority data.

Represent relationships with graphs and apply BFS, DFS, shortest paths, and dependency ordering.

Select sorting and search strategies, then recognize the recurrence patterns behind dynamic programming.

Design cohesive objects with clear responsibilities, stable interfaces, and replaceable dependencies.

Use pure functions, immutability, and composition to make behavior easy to reason about.

Define explicit inputs, outputs, errors, and contracts before implementation begins.

Coordinate work with promises, events, workers, locks, and failure-aware asynchronous flows.

Apply patterns as named trade-offs rather than ceremony, and choose architecture that fits the product.

Trace a request through DNS, TLS, HTTP, the browser, and accessible UI boundaries.

Build frontend features with components, state, routing, data fetching, and testing.

Structure backend services around modules, validation, authorization, and resilient APIs.

Model data with constraints, indexes, transactions, migrations, and query plans.

Use caches, queues, retries, idempotency, and scheduled work without hiding failure.

Operate processes, images, networks, and environments from local development to production.

Automate build, test, deploy, approval, rollback, and artifact promotion workflows.

Understand compute, storage, networking, identity, and cost across cloud platforms.

Use metrics, logs, traces, SLOs, runbooks, and incident reviews to improve reliability.

Protect identities, inputs, dependencies, data, and secrets against common attack paths.

Decompose ambiguous requirements into components, capacity assumptions, and deliberate trade-offs.

Write concise technical proposals, explain decisions, and make complexity legible to others.

Break work into outcomes, sequence risk, estimate honestly, and keep delivery visible.

Give actionable feedback, review for correctness and maintainability, and grow teammates.

Show evidence of shipped work, reflect on gaps, and build a sustainable learning loop.