Backend Engineer

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Job Description

We are looking for a passionate Search Specialist Backend Engineer to join our team. This role will focus on improving and optimizing our search capabilities to enhance user experience, scalability, and relevancy.

Location - Bangalore

Designation - Senior Software engineer - Search Specialist

Responsibilities:

● Design, develop, and maintain the search application, ensuring performance, and scalability.

● Collaborate with cross-functional teams to define and implement search features and improvements.

● Ensure search results are relevant by employing techniques like ranking, personalization, and recommendation.

● Work on complex problems related to search algorithms, data structures, and distributed systems.

● Implement logging, metrics, and monitoring for search services.

● Optimize search by tuning the underlying algorithms, experimenting with new techniques, and leveraging tools like Elasticsearch, Solr, etc.

● Maintain and improve existing search functionalities while ensuring backward compatibility.

● Stay updated with the latest advancements in search technology and industry best practices.

Basic Qualifications:

● Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

● Experience with search engines like Elasticsearch, Solr, or similar technologies.

● Solid understanding of algorithms, data structures, and distributed systems.

● Proficiency in Python and Django.

● Familiarity with RESTful APIs and backend services.

● Preferred Qualifications:

● Experience with natural language processing (NLP) or machine learning as applied to search.

● Knowledge of various search relevance techniques and ranking algorithms.

● Experience in a cloud environment (e.g., AWS, Google Cloud, Azure). ● Familiarity with containerization technologies such as Docker and Kubernetes.

● Strong analytical and debugging skills. Personal Attributes:

● Strong communication skills and ability to collaborate effectively in a team setting.

● A keen interest in improving user experience through search.

● Proactive, self-motivated, and able to work in a fast-paced environment

Professional Requirements:

• 2-8 Years professional development experience.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• Good understanding of data structures and algorithms.
• Good understanding of high level and low-level design of distributed systems.
• Experience coding in any one of the following Java or Nodejs.
• Experience building highly available distributed systems on cloud infrastructure will be plus.
• Exposure to architectural pattern of a large, high-scale web application.

Requirement/responsibilities: To take a project from scoping requirements through launch of the project. Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the and implementation. Management and execution against project plans and delivery commitments. Participate in design and code reviews.

About Strata

Strata is a commercial real estate investment platform that offers investors the opportunity to invest in pre-leased commercial assets such as offices, warehouses, and retail spaces across India.

We are one of the fastest-growing Fintech platforms in India and are backed by Elevation Capital, Mayfield, Kotak Investment Advisors, Gruhas (a venture by Nikhil Kamath of Zerodha), and DLF Family Office.

Our headquarter is in Bangalore, India.

We are a small yet close-knit team of 35+ people.

Job Description 

• Collaborate with a team of engineers and managers to create applications used by our Investors, Channel Partners and Operations Team
• Write clean, self-documenting code that follows best practices and design patterns
• Provide creative ideas to improve our product and technology
• Think beyond the specifics of a ticket in order to delight customers or grow the business
• Be a self-starter that can, at times, take initiative and execute on projects with little direction

Minimum qualifications

• 3-5 years of experience
• Expert in Python with knowledge on at least one industry standard framework like Django, Flask, etc.
• Solid knowledge of developing backend applications
• Have a strong demonstrated ability to ship high-quality products
• Self-motivated, collaborative, and diligent work ethic
• Experience using Docker and cloud technologies such as Amazon Web Services (AWS)
• Database design skills