Senior ai engineer/python developer (bangalore, india based) Jobs

Tech Lead- Go-lang
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Tech Lead- Go-lang

Geekyants -
Bengaluru, Karnataka

Apply Now

Job details

Qualifications

CI/CD
Azure
Go
Node.js
React
Kubernetes
Business analysis
System design
NoSQL
Git
MongoDB
Databases
Microservices
SQL
AWS
Flutter
Docker
PostgreSQL
Distributed systems
Continuous integration
Redis
Angular
GitHub
APIs
Kafka
DynamoDB
gRPC
Communication skills
Banking
Python
React Native
MySQL

Full job description

GeekyAnts India Pvt Ltd

Services

251 - 500

Employees

4.5

Reviews

Bengaluru, Karnataka

Location

About company

GeekyAnts is a design and development studio that specializes in building solutions for web and mobile that drive innovation and transform industries and lives. They hold expertise in state-of-the-art technologies like React, React Native, Flutter, Angular, Vue, NodeJS, Python, Svelte and more.

GeekyAnts has worked with around 500+ clients all across the globe, delivering tailored solutions to a wide array of industries like Healthcare, Finance, Education, Banking, Gaming, Manufacturing, Real Estate and more. They are trusted tech partners of some of the world's top corporate giants and have helped small to mid-sized companies realize their vision and transform digitally. They are also the registered service suppliers for Google LLC since 2017.

They provide services ranging from Web & Mobile Development, UI/UX design, Business Analysis, Product Management, DevOps, QA, API Development, Delivery & Support and more.

In addition to that, GeekyAnts is the brains behind React Native's most famous UI library; NativeBase (15000+ GitHub Stars), BuilderX, Vue Native, Flutter Starter, apibeats and hold numerous other Open Source contributions to their name. GeekyAnts has offices in India (Bangalore) and the UK (London)

2 vacancy

Tech Lead- Go-lang

Posted a month ago

Not Disclosed

Salary

6+ Year

Experience

Bengaluru, Karnataka

Location

Job Description

We are looking for a highly experienced Senior Golang Lead Engineer with strong expertise in designing and building scalable backend systems. The ideal candidate should have hands-on experience working on high-scale platforms, fintech systems, or distributed microservice architectures.

Key Responsibilities:

Design, develop, and maintain scalable, secure, and high-performance backend systems using Golang.
Lead architecture discussions and drive backend engineering best practices across teams.
Build and manage distributed systems and microservice-based applications.
Develop high-throughput and reliable production-grade backend platforms.
Collaborate with cross-functional stakeholders to deliver scalable technical solutions.
Review code quality, architecture decisions, and system design implementations.
Mentor engineering teams and provide technical leadership to developers.
Implement event-driven architectures, APIs, caching, queues, and system reliability practices.
Work with SQL and NoSQL databases to ensure performance, scalability, and reliability.
Drive cloud-native deployments and infrastructure management on AWS, Azure, or GCP.
Manage containerization, orchestration, and deployment workflows using Docker and Kubernetes.
Support CI/CD pipeline implementation, monitoring, and production deployments.
Ensure backend platform scalability, observability, security, and performance optimization.
Own backend delivery responsibilities and ensure platform stability in production environments.

Skills & Competencies:

Strong expertise in Golang and concurrent/distributed system design.
Excellent understanding of microservices and event-driven architectures.
Hands-on experience with APIs, caching systems, queues, and system reliability engineering.
Strong knowledge of SQL and NoSQL databases including PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB.
Cloud expertise in AWS, Azure, or GCP environments.
Experience with Docker, Kubernetes, CI/CD pipelines, monitoring, and production deployments.
Strong leadership, mentoring, and stakeholder management capabilities.
Excellent communication and problem-solving skills.

Good to Have:

Experience with gRPC, Kafka, WebSockets, or streaming systems.
Exposure to security, observability, and performance optimization at scale.
Experience leading engineering teams or owning large backend platforms.

Educational Qualifications

7+ years of software engineering experience with strong backend fundamentals.
Prior experience in fintech, banking, payments, trading, or other mission-critical domains is preferred.
Proven experience building scalable and high-throughput production systems.

Rounds description

Preliminary Assessment Round

This will be a Virtual AI Interview.

Make sure your entire screen is shared and you are using a Laptop

Please keep your updated resume along
Ensure your phone is on silent mode to avoid interruptions.
This round will include just a basic communication assessment

Wishing you the very best!

HR Discussion

Apply Now

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