Akamai Technologies is hiring for a Software Engineer 2 (SE-2) opportunity in India with a remote work setup. The role is aimed at professionals with 3–5 years of experience who have strong Python development skills along with exposure to AI/Agent frameworks, API gateways or integration platforms, microservices and distributed systems. The combination makes this an interesting opportunity for software engineers moving toward AI-enabled backend and cloud-native engineering.
🏢 About Akamai
Akamai is a global cybersecurity and cloud computing company that helps businesses deliver, secure and scale applications and digital experiences. The company operates a globally distributed infrastructure and has evolved from its origins in content delivery into a broader platform spanning Delivery, Security and Compute. Akamai reports 11,500+ employees worldwide, operations spanning more than 700 cities and $4.21 billion in 2025 annual revenue.
Akamai is also investing heavily in AI infrastructure. Its current cloud strategy includes distributed AI, AI inference and agentic AI, with the company positioning Akamai Cloud for workloads that require low latency, scalability and globally distributed computing.
📌 Job Overview
• Company: Akamai Technologies
• Role: Software Engineer 2 (SE-2)
• Experience: 3–5 Years
• Work Mode: Remote – India
• Core Language: Python
• AI: AI / Agent Frameworks
• Architecture: Microservices + Distributed Systems
• Integration: API Gateways / Integration Platforms
🌟 Why This Role Is Good for Experienced Professionals
This position combines traditional backend engineering with emerging AI technologies. Engineers with 3–5 years of experience can strengthen their expertise in Python, distributed architecture and microservices while gaining practical exposure to AI agents and intelligent application workflows.
The role is particularly relevant for developers who want to move beyond conventional REST API development toward systems that integrate AI agents, APIs, services and distributed infrastructure.
Akamai’s current cloud roadmap specifically includes infrastructure for AI inference and agentic applications, making the combination of AI and distributed systems highly relevant to the company’s technology direction.
🧠 Skills Required
Core skills: Python, object-oriented programming, data structures and algorithms, REST APIs, microservices, distributed systems, API gateways and integration platforms.
AI skills: AI/agent frameworks, LLM application concepts, tool calling, agent orchestration, prompt design and API-based model integration.
Backend skills: FastAPI/Flask or similar Python frameworks, asynchronous programming, authentication, caching, databases and message queues.
Engineering skills: Git, Linux, Docker, Kubernetes, CI/CD, debugging, unit testing and observability.
Knowledge of networking concepts such as HTTP, DNS, TCP/IP, load balancing and latency can also be valuable for an Akamai engineering role.
🎯 Expected Akamai Interview Rounds
- Recruiter/Initial Screening – Experience, Python background, projects, location and role fit.
- Coding/DSA Round – Arrays, strings, hash maps, algorithms, complexity and problem-solving.
- Python + Backend Technical Round – Python internals, APIs, microservices, debugging and concurrency.
- System Design Round – Distributed systems, scalability, reliability, API gateways, caching and service communication.
- Hiring Manager/Project Round – Previous projects, architecture decisions, ownership and collaboration.
The exact number of rounds is not guaranteed and may differ by team.
💰 Salary Range
The hiring post does not disclose an official salary. As third-party market context, AmbitionBox lists Akamai Software Development Engineer II compensation in India at approximately ₹16.3–₹28 LPA for 1–5 years of experience, based on reported salaries. Actual compensation for this specific SE-2 role can vary according to experience, location, skills, level calibration and Akamai’s compensation structure.
🔥Preparation Tips
🐍 Master Python: Revise decorators, generators, iterators, context managers, exceptions, memory concepts, concurrency and async programming.
🤖 Build an AI Agent: Create a small Python application where an agent can call tools/APIs, maintain state and handle failures. Be prepared to explain the architecture.
🌐 Study API Gateways: Understand routing, authentication, rate limiting, load balancing, retries, circuit breakers and observability.
⚙️ Practice distributed systems: Prepare concepts such as replication, partitioning, consistency, fault tolerance, queues, caching and service discovery.
🏗️ Design microservices: Be ready to design a scalable service and explain communication, database selection, failure handling and deployment.
💻 Strengthen DSA: Practice medium-level Python problems and always explain time and space complexity.
📄 Resume Tips
Place Python + AI/Agent Frameworks + Microservices + Distributed Systems prominently in the headline or skills summary. Do not simply write “worked on AI”; specify what you built—agent workflows, LLM integrations, API orchestration, RAG, tool calling or automation.
Quantify achievements wherever possible: reduced API latency, increased throughput, improved reliability, automated manual processes or reduced infrastructure costs. For backend projects, mention architecture, scale, APIs, databases and cloud technologies. Keep the resume focused on engineering impact, rather than creating a long generic technology list.
📩 How to Apply
Interested candidates can DM to Mrunmai Dahare and share updated resume if their experience matches the job requirements.
The referral post asks interested candidates to DM to Mrunmai Dahare their resume for referral, while noting that referrals may be limited and that the official application link is available in the pinned comment. Candidates should also verify the role directly through the official Akamai Careers portal, where Akamai currently lists India-remote engineering opportunities.
Final Thoughts
The Akamai Software Engineer 2 opening brings together Python, AI agents, APIs, microservices and distributed systems. Candidates should prepare for both coding depth and architecture discussions, with particular attention to how AI-enabled services operate reliably at scale. A resume that clearly demonstrates production backend engineering plus practical AI integration will align closely with the technologies highlighted in this opportunity.
