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GCP AlloyDB PostgreSQL Performance Architect

Impetus Technologies -
Noida, Uttar Pradesh

Apply Now

Job details

Qualifications

Spring Boot
CI/CD
RDBMS
Data modelling
Azure
Oracle
Cloud architecture
Node.js
Cassandra
MCP
React
Kubernetes
DevOps
Encryption
Microsoft SQL Server
NoSQL
Git
MongoDB
Java
SQL
AWS
Docker
PostgreSQL
Terraform
Continuous integration
REST
Angular
GitHub
APIs
ETL
Kafka
Redshift
DynamoDB
AI
Jenkins
Communication skills
Python
Spring framework
MySQL
Identity & access management

Full job description

Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India;Hyderabad, Telangana, India;Gurgaon, Haryana, India;Chennai, Tamil Nadu, India;Indore, Madhya Pradesh, India

Qualification

Experience

Overall: 12+ years
Application Architecture: 4+ years
AlloyDB / PostgreSQL Internals: 6+ years (mandatory)

Role Summary

The Application & Database Architect will be responsible for defining, designing, and governing end‑to‑end application and database architecture with a strong focus on GCP AlloyDB PostgreSQL.
This role demands deep expertise in distributed PostgreSQL systems, performance engineering, and cloud‑native architectures, ensuring highly scalable, secure, and high‑performance solutions aligned with business and enterprise standards.

The architect will act as a technical authority, driving application modernization, cloud migration, and database optimization for high throughput, low latency, and high availability systems deployed across multiple regions.

Key Responsibilities

Application Architecture

Define end‑to‑end application architecture across UI, services, integration, and data layers
Design microservices‑based, event‑driven, API‑first architectures
Review and govern application designs, frameworks, and coding standards
Guide teams on non‑functional requirements: scalability, performance, security, reliability
Lead application modernization and cloud migration initiatives
Evaluate and recommend technology stacks, frameworks, and tools
Ensure alignment with enterprise architecture, DevOps, and security standards

Database & Data Architecture

Design, enhance, and maintain multi‑region AlloyDB PostgreSQL clusters on GCP
Architect for high availability, failover, and cross‑region replication
Optimize read/write distribution, latency, and throughput across regions
Perform deep AlloyDB/PostgreSQL performance tuning
Diagnose complex production issues such as:
- Idle transactions
- Long‑running queries
- Subtransaction overhead and lock contention
Analyze and optimize queries using EXPLAIN / ANALYZE
Fine‑tune PostgreSQL/AlloyDB parameters for:
- Parallel query execution
- CPU and memory utilization
- High concurrency workloads
- VACUUM and AUTOVACUUM internals
Drive data modelling (conceptual, logical, physical) and schema governance
Define indexing strategies and query optimization standards
up, DR, retention, and database security strategies
modern DBs)

Cloud & Platform Architecture

Define cloud‑native architectures on GCP (AWS/Azure exposure is a plus)
Design solutions using managed cloud services (databases, messaging, caching, storage)
Establish CI/CD, IaC, and DevSecOps standards for applications and databases
Drive cost optimization, performance tuning, and reliability engineering in cloud environments

Governance & Technical Leadership

Act as a cross‑team technical authority
Conduct architecture reviews and design walkthroughs
Mentor senior developers, DBAs, and solution architects
Collaborate with product owners, business stakeholders, and security teams
Support pre‑sales, estimations, and technical solutioning when required

Required Technical Skills

Application & Integration

Programming: Java / Python / Node.js (any two preferred)
Spring Boot, RESTful APIs, event‑driven systems
API gateways, messaging platforms (Kafka / PubSub / SQS‑like systems)
Front‑end awareness: React / Angular (high‑level)
Working knowledge of GenAI / Agentic AI / MCP workflows

Databases

AlloyDB PostgreSQL (deep internals – mandatory)
Other RDBMS: MySQL, Oracle, SQL Server
NoSQL: DynamoDB, MongoDB, Cassandra, or equivalent
Experience with large data volumes, OLTP/OLAP, and high‑throughput systems
Strong expertise in data modeling and performance engineering

Cloud & DevOps

Hands‑on architecture experience on GCP / AWS / Azure
Docker & Kubernetes (design‑level proficiency)
CI/CD tools: Git, Jenkins, GitHub Actions, Azure DevOps
Infrastructure as Code: Terraform / ARM / CloudFormation

Security & Reliability

Secure design principles, IAM, encryption, auditing, compliance
Observability: logging, monitoring, tracing
DR, resilience, and fault‑tolerant design

Good to Have

Experience with data platforms: BigQuery, Databricks, Redshift, Snowflake
Exposure to ETL and streaming architectures
Experience in regulated environments (finance, data‑privacy heavy systems)
TOGAF or Cloud Certifications (GCP / AWS / Azure)

Soft Skills

Strong stakeholder communication and technical storytelling
Decision‑making with clear trade‑off analysis
Mentoring and technical leadership
Ability to work across multiple programs and priorities

Skills Required

GCP, AlloyDB,Postgres , SQL

Role

Experience

Overall: 12+ years
Application Architecture: 4+ years
AlloyDB / PostgreSQL Internals: 6+ years (mandatory)

Role Summary

Key Responsibilities

Application Architecture

Define end‑to‑end application architecture across UI, services, integration, and data layers
Design microservices‑based, event‑driven, API‑first architectures
Review and govern application designs, frameworks, and coding standards
Guide teams on non‑functional requirements: scalability, performance, security, reliability
Lead application modernization and cloud migration initiatives
Evaluate and recommend technology stacks, frameworks, and tools
Ensure alignment with enterprise architecture, DevOps, and security standards

Database & Data Architecture

Design, enhance, and maintain multi‑region AlloyDB PostgreSQL clusters on GCP
Architect for high availability, failover, and cross‑region replication
Optimize read/write distribution, latency, and throughput across regions
Perform deep AlloyDB/PostgreSQL performance tuning
Diagnose complex production issues such as:
- Idle transactions
- Long‑running queries
- Subtransaction overhead and lock contention
Analyze and optimize queries using EXPLAIN / ANALYZE
Fine‑tune PostgreSQL/AlloyDB parameters for:
- Parallel query execution
- CPU and memory utilization
- High concurrency workloads
- VACUUM and AUTOVACUUM internals
Drive data modelling (conceptual, logical, physical) and schema governance
Define indexing strategies and query optimization standards
up, DR, retention, and database security strategies
modern DBs)

Cloud & Platform Architecture

Define cloud‑native architectures on GCP (AWS/Azure exposure is a plus)
Design solutions using managed cloud services (databases, messaging, caching, storage)
Establish CI/CD, IaC, and DevSecOps standards for applications and databases
Drive cost optimization, performance tuning, and reliability engineering in cloud environments

Governance & Technical Leadership

Act as a cross‑team technical authority
Conduct architecture reviews and design walkthroughs
Mentor senior developers, DBAs, and solution architects
Collaborate with product owners, business stakeholders, and security teams
Support pre‑sales, estimations, and technical solutioning when required

Required Technical Skills

Application & Integration

Programming: Java / Python / Node.js (any two preferred)
Spring Boot, RESTful APIs, event‑driven systems
API gateways, messaging platforms (Kafka / PubSub / SQS‑like systems)
Front‑end awareness: React / Angular (high‑level)
Working knowledge of GenAI / Agentic AI / MCP workflows

Databases

AlloyDB PostgreSQL (deep internals – mandatory)
Other RDBMS: MySQL, Oracle, SQL Server
NoSQL: DynamoDB, MongoDB, Cassandra, or equivalent
Experience with large data volumes, OLTP/OLAP, and high‑throughput systems
Strong expertise in data modeling and performance engineering

Cloud & DevOps

Hands‑on architecture experience on GCP / AWS / Azure
Docker & Kubernetes (design‑level proficiency)
CI/CD tools: Git, Jenkins, GitHub Actions, Azure DevOps
Infrastructure as Code: Terraform / ARM / CloudFormation

Security & Reliability

Secure design principles, IAM, encryption, auditing, compliance
Observability: logging, monitoring, tracing
DR, resilience, and fault‑tolerant design

Good to Have

Experience with data platforms: BigQuery, Databricks, Redshift, Snowflake
Exposure to ETL and streaming architectures
Experience in regulated environments (finance, data‑privacy heavy systems)
TOGAF or Cloud Certifications (GCP / AWS / Azure)

Soft Skills

Strong stakeholder communication and technical storytelling
Decision‑making with clear trade‑off analysis
Mentoring and technical leadership
Ability to work across multiple programs and priorities

Experience

12 to 16 years

Job Reference Number

13764

Apply Now

Refine Your Search

– integration / data platforms (enterprise programs) jobs in up

GCP AlloyDB PostgreSQL Performance Architect

Senior AI Engineer – (Land Services)

Automation Test Engineer

IT- Sr Systems Engineer (Boomi)

Lead II, Software Development/Engineering

4195- Staff Engineer - Healthcare Interoperability (Gravity)

IT- Staff Systems Engineer (SFDC Dev 1)

Software Security Engineer

Fullstack Developer

PHP Developer (Pimcore)

AVP - Strategic Alliances

Product Development_O & G Team

AWS Cloud DevOps Lead

Lead -AI/ML

Information Security Manager

Computer Scientist II (Full Stack)

Senior Lead - AI/ML

4348- Software Development Engineer-III Backend (Comet)

Vice President - Cyber Security (Operations)

Qualdev Architect

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