Senior Software Engineer – Full Stack & Generative AI

Below is a ready‑to‑use “Senior Software Engineer – Full‑Stack & Generative AI” résumé template (including a short, targeted cover‑letter opening) that you can copy‑paste, edit with your own details, and send straight to the recruiter.

I’ve organized the content to hit every mandatory and preferred qualification in the posting, showcase measurable impact, and keep the layout clean for an ATS‑friendly PDF.

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📄 RESUME – Senior Software Engineer (Full‑Stack & Generative AI)

[Your Name]
[City, State] • [Phone] • [Email] • [LinkedIn] • [GitHub / Portfolio]

PROFESSIONAL SUMMARY

Seasoned full‑stack engineer with 8+ years of experience designing and delivering cloud‑native, data‑intensive applications. Expert in Angular/TypeScript, Java (Spring Boot) and Python (FastAPI/Flask), with deep hands‑on expertise in AWS, Docker/Kubernetes, and CI/CD pipelines. Recent focus on Generative AI—building LLM‑driven features, RAG pipelines, and vector‑store integrations using LangChain/LlamaIndex. Proven technical leader who mentors teams, drives architecture decisions, and ships production‑grade services at scale.

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CORE COMPETENCIES

Front‑end	Back‑end	Cloud & Infra	Data & Storage	AI/ML Integration	DevOps & CI/CD
Angular, TypeScript, RxJS, NgRx	Java (Spring Boot), Python (FastAPI, Flask), Node.js	AWS (Lambda, ECS/EKS, S3, RDS, DynamoDB, Bedrock), Docker, Kubernetes	PostgreSQL, MongoDB, DynamoDB, Redis, ElasticSearch, Spark (basic)	LLM APIs (OpenAI, Anthropic, Bedrock), LangChain, LlamaIndex, Vector DBs (Pinecone, Qdrant), Prompt Engineering, RAG	GitLab CI/CD, Jenkins, Terraform, Helm, ArgoCD

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PROFESSIONAL EXPERIENCE

Senior Software Engineer – Full‑Stack & Generative AI

[Current / Most Recent Employer] – [City, State]
MM/YYYY – Present

Achievement	Tech Stack / Impact
Led end‑to‑end delivery of a SaaS analytics platform used by > 200 enterprise customers, handling 10 M+ daily events.	Angular 15, Spring Boot, PostgreSQL, AWS ECS, Terraform
Designed & implemented a micro‑service architecture (12 services) with REST + GraphQL gateways, reducing average API latency from 420 ms → 120 ms.	Spring Cloud, FastAPI, Apollo Server, AWS API Gateway
Integrated Generative AI: built a RAG‑powered knowledge‑base for internal support agents using LangChain + Pinecone, cutting average ticket resolution time by 35 %.	Python, LangChain, OpenAI GPT‑4, Pinecone, S3
Built CI/CD pipelines (GitLab) with automated unit, integration, and contract tests; achieved zero‑downtime deployments via blue‑green strategy on EKS.	GitLab CI, Helm, ArgoCD
Mentored a squad of 5 engineers; instituted code‑review standards and design‑review guilds, raising code‑coverage from 58 % → 92 %.	SonarQube, Jest, JUnit
Optimized data access: introduced caching layer (Redis) and query‑refactoring, improving heavy‑report generation from 30 s → 4 s.	PostgreSQL, Redis, JPA, SQL tuning
Implemented observability: centralized logging (ELK), metrics (Prometheus/Grafana), and tracing (OpenTelemetry) → Mean‑time‑to‑detect dropped from 45 min → 5 min.	ELK, Prometheus, OpenTelemetry

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Software Engineer – Full‑Stack

[Previous Employer] – [City, State]
MM/YYYY – MM/YYYY

Achievement	Tech Stack / Impact
Delivered a customer‑portal with Angular + Spring Boot, supporting 1 M+ concurrent users during peak sales events.	Angular 12, Spring Boot, MySQL, AWS ELB
Migrated monolith to Docker‑based micro‑services on EKS, cutting infrastructure cost by 22 %.	Docker, Kubernetes, Helm
Built event‑driven pipelines using Kafka for real‑time order processing, achieving 99.99 % uptime.	Kafka, Spring Cloud Stream
Created Terraform modules for repeatable AWS resource provisioning, reducing environment‑setup time from days → hours.	Terraform, AWS CloudFormation
Championed test‑driven development; introduced Jest + Cypress for UI, raising defect detection early by 40 %.	Jest, Cypress, JUnit

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Software Engineer – Backend

[Earlier Employer] – [City, State]
MM/YYYY – MM/YYYY

Achievement	Tech Stack / Impact
Developed high‑throughput REST APIs (Python Flask) serving 5 M+ requests/day for a fintech platform.	Flask, PostgreSQL, AWS Lambda
Implemented batch processing on AWS EMR/Spark, reducing nightly ETL runtime from 6 h → 2 h.	Spark, EMR, S3
Designed NoSQL data model in DynamoDB for session storage, achieving single‑digit ms latency at scale.	DynamoDB, Boto3

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EDUCATION

B.S. Computer Science – [University], [City, State] – Graduation Year

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CERTIFICATIONS

Certification	Issuer	Year
AWS Certified Solutions Architect – Associate	Amazon	2023
Certified Kubernetes Application Developer (CKAD)	CNCF	2022
(Optional) Generative AI with Large Language Models – Coursera/DeepLearning.AI	2024

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PUBLICATIONS / OPEN‑SOURCE (optional)

• “Building RAG Pipelines with LangChain & Pinecone” – Medium article, 12 k+ views.
• GitHub: awesome‑gen‑ai‑stack – Boilerplate for FastAPI + LangChain + AWS Bedrock (⭐ 1.2k).

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PROFESSIONAL AFFILIATIONS

• Member, Association for Computing Machinery (ACM)
• Volunteer mentor, Women Who Code – DC/VA Chapter

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📄 COVER LETTER – Opening Paragraph (customizable)

Dear Hiring Team,

I am excited to apply for the Senior Software Engineer – Full‑Stack & Generative AI role at ConsultNet. With 8 years of experience delivering cloud‑native, data‑driven applications and a recent track record of integrating LLM‑powered features (LangChain‑based RAG, prompt engineering, and vector‑store pipelines), I am uniquely positioned to help your clients modernize platforms, accelerate AI adoption, and achieve high‑scale reliability. My hands‑on expertise across Angular, Spring Boot, Python FastAPI, AWS, Docker/Kubernetes, and CI/CD aligns directly with the technical stack you outlined, and I thrive in environments where I can both lead architectural decisions and stay deeply involved in code.

(Continue with a brief story of a relevant project, then close with enthusiasm and a call‑to‑action.)

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🎯 INTERVIEW PREP – Quick Cheat‑Sheet

Topic	Sample Questions	Key Points to Emphasize
Full‑Stack Architecture	“Walk me through a recent end‑to‑end feature you built.”	Show Angular component hierarchy, state mgmt (NgRx), API contract, backend service, DB schema, CI/CD flow.
Microservices & APIs	“How do you design a resilient microservice?”	Use Spring Cloud Config, circuit‑breaker (Resilience4j), health checks, async messaging (Kafka/Kinesis).
Generative AI Integration	“Explain a RAG pipeline you built.”	Data ingestion → vector store → LangChain retriever → LLM (Bedrock/OpenAI) → prompt engineering → response caching.
AWS & Containerization	“Why choose EKS over ECS for this workload?”	Discuss scaling, pod‑level isolation, Helm charts, cost, operational maturity.
Performance & Data Modeling	“How did you reduce query latency on a large dataset?”	Indexing, denormalization, caching (Redis), query profiling, read replicas.
Leadership	“How do you mentor junior engineers?”	Code‑review checklist, pair‑programming, brown‑bag sessions, growth plans.
Observability	“What metrics do you monitor for a production API?”	Latency (p95), error rate, CPU/memory, request‑per‑second, DB connection pool, tracing IDs.
CI/CD & IaC	“Describe your GitLab pipeline for a multi‑service repo.”	Lint → unit → integration → Docker build → Helm upgrade → canary rollout.
Security	“How do you secure API keys for LLM services?”	AWS Secrets Manager, IAM roles, least‑privilege policies, rotating secrets.

STAR‑style anecdotes – prepare 2–3 stories that cover: (1) a high‑impact AI feature, (2) a performance‑critical migration, (3) a leadership/mentorship moment.

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How to Use This Material

1. Copy the résumé into a Word/Google Doc, replace placeholder text (company names, dates, metrics) with your actual experience.
2. Export as PDF (keep headings bold, use a clean sans‑serif font).
3. Tailor the cover‑letter opening (or write a full letter) to reference the specific client or project you’re most excited about.
4. Practice the interview cheat‑sheet – rehearse concise 2‑minute answers for each row, then dive deeper with STAR details.

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Good luck! If you’d like a deeper dive—e.g., a full cover letter, a customized LinkedIn headline, or help polishing any section—just let me know and I’ll craft it for you. 🚀