Artificial Intelligence is transforming the software engineering landscape, and Akamai Technologies is looking for talented engineers to be part of this evolution. The company is hiring Software Engineer II professionals to design AI-powered automation platforms, build scalable cloud-native solutions, and improve developer productivity using modern AI technologies.
If you have experience with Python, Kubernetes, Docker, AWS, Azure, Microservices, AI/LLMs, LangChain, Vector Databases, and Cloud Computing, this opportunity offers an exciting chance to work remotely with one of the world’s leading cloud and cybersecurity companies.
๐ Job Overview
๐ข Company: Akamai Technologies
๐ผ Position: Software Engineer II
๐ Location: Bengaluru, India (Remote)
๐ข Work Mode: Remote
๐จโ๐ป Experience: 2โ3 Years
๐ฐ Expected Salary: โน22โ35 LPA (Estimated)
โก Preferred Candidates: Software Engineers with experience in AI, Python, Cloud Computing, Kubernetes, Automation Frameworks, and Distributed Systems.
๐ข About Akamai Technologies
Akamai Technologies is one of the world’s leading cloud computing, cybersecurity, and content delivery companies. Every day, billions of internet users interact with Akamai’s technology without even realizing it. Whether you’re streaming videos, shopping online, using banking applications, or accessing cloud services, Akamai’s edge platform helps deliver content securely and at high speed.
The company operates one of the world’s largest distributed cloud platforms and focuses on:
- ๐ Cloud & Edge Computing
- ๐ Cybersecurity
- โก Content Delivery Network (CDN)
- ๐ค Artificial Intelligence
- โ๏ธ Cloud Infrastructure
- ๐ Developer Platforms
Working at Akamai provides engineers with the opportunity to solve large-scale distributed systems problems while collaborating with global engineering teams.
๐ Why This Role is Good for Experienced Professionals
This Software Engineer II role is an excellent opportunity for engineers who want to work at the intersection of Artificial Intelligence, Cloud Computing, Automation, and Distributed Systems.
Some of the major advantages include:
- ๐ Remote work opportunity across India.
- ๐ฐ Excellent salary package ranging from โน22โ35 LPA.
- ๐ค Opportunity to build AI-powered developer tools.
- โ๏ธ Work with modern cloud technologies including AWS and Azure.
- ๐ Exposure to Kubernetes, Docker, and large-scale distributed systems.
- ๐ง Gain hands-on experience with LLMs, LangChain, RAG, and AI automation.
- ๐ Strong learning and career growth opportunities.
- ๐ Collaborate with globally distributed engineering teams.
If you’re looking to move into AI Engineering, Platform Engineering, or Cloud Infrastructure, this role offers outstanding career progression.
๐ผ Roles & Responsibilities
As a Software Engineer II at Akamai, you will:
- Design and implement AI-powered automation infrastructure.
- Develop scalable developer productivity tools.
- Build automation frameworks using Python.
- Integrate AI and LLM solutions into engineering workflows.
- Design and optimize cloud-native distributed systems.
- Work with Kubernetes and Docker environments.
- Build AI evaluation frameworks and RAG-based solutions.
- Research and implement emerging AI technologies.
- Collaborate with engineering teams to improve SDLC efficiency.
- Mentor teams on AI-powered automation best practices.
๐ฐ Salary Range
Although Akamai has not officially disclosed the compensation, the estimated salary based on market standards is:
๐ต Estimated CTC
- โน22 LPA โ โน35 LPA
The final package depends on:
- Experience
- Technical expertise
- AI knowledge
- Cloud experience
- Interview performance
Additional benefits generally include:
- Remote work flexibility
- Health insurance
- Learning & certification support
- Paid leaves
- Performance bonuses
- Global career opportunities
๐ Expected Interview Rounds
Candidates can generally expect the following hiring process:
Round 1 โ Resume Screening
Recruiters evaluate:
- Python expertise
- AI experience
- Cloud knowledge
- Kubernetes experience
- Relevant projects
Round 2 โ Online Coding Assessment
Topics may include:
- Python Programming
- Data Structures
- Algorithms
- Problem Solving
Round 3 โ Technical Interview
Topics may include:
- Python
- Kubernetes
- Docker
- Microservices
- Distributed Systems
- AWS / Azure
- REST APIs
- AI & LLM Concepts
- LangChain
- Vector Databases
- RAG Architecture
- Automation Framework Design
Round 4 โ Hiring Manager Discussion
Discussion around:
- Current projects
- AI implementation experience
- Collaboration
- Design thinking
- Problem-solving approach
Round 5 โ HR Discussion
Topics include:
- Salary
- Notice period
- Work mode
- Career aspirations
๐ Skills Required
Akamai is looking for professionals with expertise in:
Programming
- Python
- Go (Preferred)
Cloud Technologies
- AWS
- Azure
Containers & DevOps
- Docker
- Kubernetes
- CI/CD Pipelines
Artificial Intelligence
- LLMs
- LangChain
- LangGraph
- Vector Databases
- RAG Frameworks
- AI Automation
- AI Evaluation Frameworks
Software Engineering
- Microservices
- Distributed Systems
- Automation Frameworks
- REST APIs
- Developer Tools
AI Coding Tools
- GitHub Copilot
- Claude Code
- AI Coding Agents
Soft Skills
- Communication
- Problem Solving
- Collaboration
- Analytical Thinking
๐ Preparation Tips
To improve your chances of getting selected:
- Revise Python thoroughly.
- Practice DSA questions on LeetCode.
- Learn Kubernetes architecture.
- Understand Docker fundamentals.
- Build a small LangChain project.
- Study Vector Databases.
- Learn Retrieval-Augmented Generation (RAG).
- Practice AWS and Azure basics.
- Revise Distributed Systems concepts.
- Prepare explanations for your AI and cloud projects.
๐ Resume Tips
A strong resume should highlight your AI and cloud engineering experience.
Include:
- Professional Summary
- Technical Skills
- Python Projects
- AI Projects
- Cloud Projects
- Kubernetes Experience
- GitHub Profile
- Certifications
- Internship / Professional Experience
- Measurable achievements
ATS keywords to include:
- Python
- Kubernetes
- Docker
- AWS
- Azure
- Artificial Intelligence
- LangChain
- RAG
- LLM
- Cloud Computing
- Microservices
- Distributed Systems
- Automation Framework
- CI/CD
- Vector Database
๐ฉ How to Apply
๐ Application Link: Click Here
Before applying:
- โ Update your resume with AI and cloud projects.
- โ Highlight Python, Kubernetes, Docker, and automation experience.
- โ Add GitHub, portfolio, or technical blog links if available.
- โ Mention certifications related to Cloud, Kubernetes, AI, or Python.
- โ Apply before the position is filled, as remote engineering roles receive a high number of applications.
๐ Final Thoughts
The Software Engineer II opportunity at Akamai Technologies is an excellent career move for software engineers with 2โ3 years of experience who want to work on cutting-edge technologies like Artificial Intelligence, Cloud Computing, Kubernetes, Distributed Systems, and AI-powered automation. With a remote work model, an attractive estimated salary of โน22โ35 LPA, and the opportunity to build solutions used by millions of users worldwide, this role offers tremendous technical growth and long-term career potential. If you enjoy solving complex engineering challenges and want to work at the forefront of AI and cloud innovation, this is a role worth applying for.
