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awsGoInterview

Perfect. Below is a complete structured interview document you can use for your 1-hour Senior Engineer (AWS + Golang) interview.

It combines: ✅ The 6 structured phases (increasing difficulty) ✅ Theory, scenario, and practical questions ✅ Coding questions (for notepad) ✅ Short reference answers for each question — so you can easily gauge how well the candidate’s responses align with what’s expected.

🧩 Senior Engineer (AWS + Golang) — 1 Hour Technical + Leadership Interview 🕒 Interview Breakdown Phase Duration Focus 1 5 min Introduction & project ownership 2 10 min AWS + Go fundamentals 3 15 min System design scenarios 4 15 min Debugging & problem-solving 5 10 min Leadership & ownership 6 5 min Wrap-up

  • — Coding Questions (mix into Phase 3 or 4)

🔹 PHASE 1 — Introduction (5 mins)

Q1: Tell me about one project where you owned end-to-end delivery using AWS and Go.

Expected Answer: Should highlight complete ownership — from architecture to deployment — using AWS services like Lambda, ECS, or EC2, and Go for backend logic. Should mention CI/CD, monitoring, and cost optimization. A good candidate emphasizes design decisions, trade-offs, and outcomes (e.g., performance gains, cost savings).

Follow-up:

“What would you do differently now?” → Looks for introspection and evolution in design choices.

“Which part only you understood deeply?” → Tests unique expertise and ownership instincts.

🔹 PHASE 2 — AWS + Go Fundamentals (10 mins)

Q2: Design a scalable API using AWS components.

Expected Answer: Should mention Load Balancer (ALB), API Gateway, Lambda/ECS (Go runtime), RDS/DynamoDB, S3, and CloudWatch. Mentions security layers (IAM, VPC, SGs). Good engineers mention autoscaling, fault tolerance, and CI/CD deployment with CodePipeline or Terraform.

Follow-ups:

Use IAM roles, VPCs, or PrivateLink for secure service comms.

Region-level resilience through multi-region failover or Route53.

Lambda timeout debugging using CloudWatch logs and X-Ray.

Q3: Explain goroutines and channels in Go.

Expected Answer: Goroutines are lightweight threads managed by Go runtime; channels synchronize and share data safely. The candidate should mention avoiding global state and using select for multiplexing.

Follow-ups:

[]rune for Unicode correctness.

-race flag for detecting race conditions.

Awareness of goroutine leaks and context cancellations.

🔹 PHASE 3 — Scenario-Based System Design (15 mins)

Q4: Design a logging pipeline for multiple microservices (AWS + Go).

Expected Answer: Use Kinesis Firehose or Kafka → Lambda (Go) → S3 → Glue/Athena for queries. Add CloudWatch logs for monitoring and IAM for permissions. Mentions schema evolution or partitioning in S3 for efficient querying.

Follow-ups:

Handle out-of-order logs with timestamp sorting.

Avoid duplicates via deduplication key or DynamoDB state.

Scalability test using load simulation or AWS FIS.

Multi-region via cross-region replication in S3.

Q5: Structuring a Go project using AWS SDKs.

Expected Answer: Use clean architecture: cmd/, pkg/, internal/. Maintain AWS sessions centrally; dependency inject clients. Mock AWS SDK with interfaces for tests.

Follow-ups:

Manage session reuse to prevent overhead.

Use gomock or testify for mocking SDKs.

🔹 PHASE 4 — Debugging & Problem Solving (15 mins)

Q6: ECS Fargate service shows high latency — how to debug?

Expected Answer: Start with CloudWatch metrics (CPU, memory, network). Check container logs, analyze X-Ray traces, and verify DB latency. Check connection pooling, goroutine blocking, or DNS resolution delay.

Follow-ups:

Differentiate network vs code issues via VPC Flow Logs or profiling.

Time-specific issues hint at autoscaling or DB throttling.

Q7: S3 costs suddenly doubled — what’s your plan?

Expected Answer: Check AWS Cost Explorer, S3 Storage Lens, and CloudTrail for changes. Investigate versioning or unexpired lifecycle policies. Enable intelligent tiering.

Follow-ups:

Automate cost enforcement using IaC and lifecycle policies.

Use AWS Config for detecting public buckets.

Q8: Deploy & roll back a Go microservice via CI/CD.

Expected Answer: Use CodePipeline + CodeDeploy (blue/green). Terraform for infra. Maintain versioned artifacts in S3 or ECR. Implement rollback through version tags.

Follow-ups:

Handle DB schema migrations with pre/post deploy steps.

Rollback failure = resource conflict → automate cleanup.

🔹 PHASE 5 — Leadership & Ownership (10 mins)

Q9: You lead 4 engineers — how do you start from scratch?

Expected Answer: Establish coding standards, Git branching, sprint rituals, CI/CD pipelines, and lightweight documentation. Prioritize backlog, define MVP, and ensure local setup works for all.

Follow-ups:

First week = repo setup, pipeline, code review rules.

Handling underperformers = mentorship + pairing + clear goals.

Teaching juniors: review-based learning and pair debugging.

Q10: PM changes requirements mid-sprint — what’s your move?

Expected Answer: Reassess impact, communicate clearly to team and PM, adjust sprint scope if needed. Maintains delivery while protecting morale.

Follow-ups:

Balance delivery vs flexibility.

Propose feature flags to decouple delivery from requirements.

🔹 PHASE 6 — Wrap-Up (5 mins)

Q11: What’s one AWS or Go concept you learned recently?

Expected Answer: Should mention something advanced like Lambda SnapStart, Step Functions, Go generics, or context propagation.

Follow-ups:

How do you help your team stay updated?

Mention of internal knowledge-sharing is a plus.

⚙️ CODING QUESTIONS (For Notepad)

You can ask 2–3 of these in the middle (Phases 3–4).

  1. Reverse a string
func Reverse(s string) string {
    r := []rune(s)
    for i, j := 0, len(r)-1; i < j; i, j = i+1, j-1 {
        r[i], r[j] = r[j], r[i]
    }
    return string(r)
}

✅ Should handle Unicode properly.

Follow-up: Why rune instead of byte?

  1. Write a Go function that counts occurrences of each word in a given sentence.
package main

import (
	"fmt"
	"strings"
)

// CountWordOccurrences counts the occurrences of each word in a given sentence.
// It returns a map where keys are the words and values are their respective counts.
func CountWordOccurrences(sentence string) map[string]int {
	// Convert the sentence to lowercase to treat "The" and "the" as the same word.
	lowerSentence := strings.ToLower(sentence)

	// Split the sentence into words using whitespace as a delimiter.
	// strings.Fields handles multiple spaces and trims leading/trailing spaces.
	words := strings.Fields(lowerSentence)

	// Create a map to store word counts.
	wordCounts := make(map[string]int)

	// Iterate over the words and increment their counts in the map.
	for _, word := range words {
		wordCounts[word]++
	}

	return wordCounts
}

func main() {
	sentence := "Go is a great language. Go is fun to learn."
	counts := CountWordOccurrences(sentence)

	fmt.Println("Word occurrences:")
	for word, count := range counts {
		fmt.Printf("'%s': %d\n", word, count)
	}

	sentence2 := "Hello world, hello Go!"
	counts2 := CountWordOccurrences(sentence2)

	fmt.Println("\nWord occurrences for second sentence:")
	for word, count := range counts2 {
		fmt.Printf("'%s': %d\n", word, count)
	}
}

Follow-up: When use sync/atomic instead?

simple coding

  1. Variable Shadowing

Question: What is the output of the following snippet?

package main
import "fmt"

func main() {
    x := 10
    if true {
        x := 20
        fmt.Println(x)
    }
    fmt.Println(x)
}

Expected Answer:

20 10

Explanation: The inner x := 20 declares a new variable shadowing the outer one — scope ends with the block.

Follow-up:

What happens if you use x = 20 instead of x := 20?

  1. Nil Interface Trick

Question: What is the output?

package main
import "fmt"

func main() {
    var x *int = nil
    var i interface{} = x
    if i == nil {
        fmt.Println("nil interface")
    } else {
        fmt.Println("non-nil interface")
    }
}

Expected Answer:

non-nil interface

Explanation: The interface i holds a typed nil (*int(nil)), which means the interface itself isn’t nil — both type and value must be nil for the interface to be nil.

Follow-up:

How can you check if the underlying value of an interface is nil?

  1. Slice Backing Array Trap

Question: What will be printed here?

package main
import "fmt"

func main() {
    s := []int{1, 2, 3}
    t := s
    t[0] = 100
    fmt.Println(s)
}

Expected Answer:

[100 2 3]

Explanation: Slices share the same backing array; modifying one changes all references.

Follow-up:

How can you make a true copy so s isn’t affected?

  1. Deferred Function Execution

Question: Predict the output:

package main
import "fmt"

func main() {
    for i := 0; i < 3; i++ {
        defer fmt.Println(i)
    }
}

Expected Answer:

2 1 0

Explanation: Deferred functions execute in LIFO order after main() returns.

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