Python Developer

Job Title: Devops Engineer

Location: Delhi, Arjan Garh

Job Type: Full-Time

IMMEDIATE JOINERS REQUIRED

About Us:

Timble is a forward-thinking organization dedicated to leveraging cutting-edge technology to solve real-world problems. Our mission is to drive innovation and create impactful solutions through artificial intelligence and machine learning.

About the Role

We are looking for a high-ownership Senior DevOps Engineer to architect and maintain the mission-critical infrastructure supporting our global algorithmic trading operations. You will be the bridge between development and live trading, ensuring zero-latency performance and 100% system availability.

Key Responsibilities

• Infrastructure Architecture: Design scalable, fault-tolerant systems for high-frequency trading environments.
• Performance Optimization: Tune Linux servers and Python environments for maximum speed and efficiency.
• Incident Management: Lead real-time response for live trading systems, performing RCA and preventive fixes.
• Automation & CI/CD: Build and enhance robust pipelines using Docker, Jenkins, and Ansible.
• Proactive Monitoring: Implement advanced logging and alerting (Prometheus/Grafana) to ensure high uptime.
• Database Admin: Manage relational databases and write optimized SQL for operational reporting.
• Mentorship: Guide junior DevOps members and maintain rigorous system documentation.

Technical Requirements

• OS/Scripting: Advanced Linux Admin and expert-level Python scripting.
• IaC & Tools: Hands-on experience with Ansible, Terraform, and Docker.
• CI/CD: Proficiency in Jenkins or GitLab CI.
• Data: Strong SQL skills with experience in performance tuning.
• Education: B.Tech/M.Tech in Computer Science or related engineering field.

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.

We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.

You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.

What You Will Do:

Backend Development (Golang & Python)

• Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
• Architect for horizontal scalability, fault tolerance, and low-latency at scale
• Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines

Scalable Architecture & System Design

• Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
• Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover

ClickHouse & Analytical Data Infrastructure

• Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
• Design optimal table engines, partition strategies, materialized views, and query patterns
• Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations

Cost Efficiency & Cost Optimization

• Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
• Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering

Linux Server Management & Infrastructure

• Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
• Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
• Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed

Data, Storage & Scheduling

• Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
• Build and maintain cron jobs, scheduled tasks, and batch processing systems

Uptime, Reliability & Observability

• Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
• Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
• Drive incident response, root cause analysis, and post-mortems

Required Qualifications:

Must-Have (Critical)

• Deep proficiency in Golang (primary) and Python
• Proven ability to design and build scalable, distributed architectures
• Production experience deploying and operating ClickHouse at scale
• Track record of driving measurable cost efficiency and cost optimization
• 5+ years in backend engineering and infrastructure roles

Also Required

• Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
• Proven uptime and reliability track record across production infrastructure
• Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
• VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
• Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Cron jobs, batch processing, data archival, cold storage management
• Networking fundamentals (DNS, TCP/IP, load balancing, TLS)

Nice to Have

• AWS, GCP, or other major cloud provider experience
• Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
• Data pipelines (Airflow, dbt); FinOps practices
• Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)

What We Offer

• Remote, contractual role
• Flexible time zones (overlap for standups + incident coverage)
• Competitive contract compensation + equity
• Long-term engagement opportunity based on performance

We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.

Key Responsibilities :

- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.

- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.

- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.

- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.

- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.

- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.

- Implement inter-service communication using gRPC and REST.

- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.

Required Skills & Qualifications :

- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.

- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.

- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).

- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.

- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.

- Proven experience with system architecture, distributed systems, and microservices.

- Strong familiarity with Any Cloud infrastructure and deployment practices.

- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.

Responsibilities:

• Hand on experience in Golang/Python/Ruby on Rails /Node.Js
• Must have at least 1+ years of experience in Team Handling