Python Backend Developer

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Exp: 7- 10 Years

CTC: up to 35 LPA

Skills:

• 6–10 years DevOps / SRE / Cloud Infrastructure experience
• Expert-level Kubernetes (networking, security, scaling, controllers)
• Terraform Infrastructure-as-Code mastery
• Hands-on Kafka production experience
• AWS cloud architecture and networking expertise
• Strong scripting in Python, Go, or Bash
• GitOps and CI/CD tooling experience

Key Responsibilities:

• Design highly available, secure cloud infrastructure supporting distributed microservices at scale
• Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
• Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
• Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
• Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
• Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
• Ensure production-ready disaster recovery and business continuity testing

If interested Kindly share your updated resume at 82008 31681

About VisibilityStack

VisibilityStack helps businesses connect with people who are actively searching for the solutions they offer, both on Google Search and in the new wave of AI-powered search tools.

Our AI agents identify what your audience is looking for, create content that answers those questions, and structure it so Google and AI systems can easily understand and recommend it. We also strengthen your online credibility through strategic backlinks and a strong social presence.

Everything is guided by real-time data. We focus on what works, remove what does not, and keep your content working around the clock. The result is simple: the right people can find you, trust you, and reach out when they need what you offer.

The Role

We need a Senior Engineer who ships production code that scales. You'll be the technical anchor—building critical infrastructure, solving complex problems, and mentoring junior developers through code reviews and pair programming.

You'll shape our future in four key ways: writing the code that becomes our foundation, being a key voice in engineering hiring decisions, helping establish the processes and patterns everyone follows, and having significant input on product decisions—your technical perspective directly influences what we build, not just how we build it. This isn't about managing people or writing performance reviews—it's about technical leadership through excellence.

What's in it for you:

1. Own mission-critical systems end-to-end — Your code directly generates customer revenue
2. Skip the politics, ship products — No layers of approval, no enterprise bureaucracy
3. Shape product direction — Your technical insights influence product strategy, not just implementation
4. Learn cutting-edge AI in production — Work with LLMs, vector databases, and agent orchestration at scale
5. Shape technical decisions and processes — Your input matters on how we build, not just what
6. Accelerated growth path — As we scale, you choose: become our technical lead or remain a deeply influential IC
7. Direct founder access — Collaborate on product vision, not just execute specs

Location: Janakpuri, Delhi (Hybrid - Maker's Schedule)

Our Work Philosophy:

We follow the Maker's Schedule, not the Manager's Schedule. This means uninterrupted blocks of deep work when you're building, and high-bandwidth collaboration when we're solving problems together.

In Practice:

1. In-office days: Whiteboard architecture sessions, rapid product iterations, deep dives into product strategy, complex debugging that needs three minds on one problem
2. Deep work days: Uninterrupted coding from wherever you work best—home, office, or that coffee shop with perfect noise levels
3. Balance by design: We optimize for both intense collaboration and deep focus

The best technical breakthroughs happen in two modes: intense in-person collaboration where ideas bounce rapidly, and deep solo work where complex problems get solved. We protect both.

Responsibilities

Technical Excellence

1. Build production systems that handle millions of AI operations daily
2. Write complex integrations that others can't figure out
3. Solve scaling problems before they become emergencies
4. Implement robust error handling and monitoring
5. Own critical infrastructure components end-to-end

Architecture & Code Quality

1. Design APIs that won't need v2 in 6 months
2. Make pragmatic technical decisions (boring tech when appropriate)
3. Help establish engineering processes—from code review to deployment
4. Create patterns and standards other engineers can follow
5. Lead code reviews that teach, not just critique
6. Balance shipping speed with technical sustainability

Hiring & Technical Assessment

1. Conduct technical interviews for engineering roles
2. Design practical coding assessments that test real skills
3. Provide strong input on hire/no-hire decisions
4. Partner with founders on technical requirements for roles
5. Help close strong candidates by selling the technical vision

Mentorship & Collaboration

1. Pair with junior developers on complex problems
2. Share knowledge through code reviews and documentation
3. Unblock teammates when they're stuck
4. Work directly with founders on technical strategy
5. Partner with product team on feature design and technical feasibility
6. Turn product ideas into technical specifications
7. Work directly with founders on technical strategy
8. Turn product ideas into technical specifications

Requirements

Must Have

1. 5-7 years of software engineering experience
2. Expert-level Python development skills
3. Production experience with LLMs (OpenAI, Anthropic, not just prototypes)
4. Built systems that scaled (and dealt with the failures)
5. Strong debugging skills—you fix what others can't
6. API design that makes sense to other developers
7. Git workflows and collaborative development

Strong Advantages

1. Previous early-stage startup experience
2. Production experience with vector databases (Pinecone, Weaviate, pgvector)
3. Elasticsearch or search infrastructure expertise
4. Built revenue-generating AI/ML systems
5. Experience with high-volume data pipelines
6. Contributed to open source projects
7. Informal mentorship or tech lead experience

Tech Stack

1. Backend: Python, FastAPI, PostgreSQL
2. AI/ML: OpenAI APIs, LangChain, Vector DBs
3. Infrastructure: AWS, Docker, GitHub Actions
4. Search: Elasticsearch (evaluating alternatives)

What We Offer

1. Early employee equity and financial upside
2. No bureaucracy—your code ships to production
3. Work on genuinely hard technical problems
4. Learn from and contribute to cutting-edge AI systems
5. Clear growth path as the team scales

• You will design and develop large scale distributed services.
• You will analyze and improve the efficiency, scalability, stability, and security of the platform as a whole.
• You will act as the primary owner of one or more components while driving innovation in your area of ownership.
• You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
• You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
• You will work independently and handle dependencies with very minimal oversight.
• You will take initiatives in developing and maintaining integrations of best practices within the back-end.
• You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.

• You have 2+ years of experience in product software development.
• You have designed and scaled up the system.
• You have a strong understanding of Data Structures and Algorithms.
• You are an incessant problem solver and tougher the problem gets, more fun you have.
• You have strong command in any one or more of the following languages: Python.
• You understand the business impact of your decisions.

Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.

• UI: HTML, JS
• System: Linux must have – good knowledge and shell scripting experience.
• Prior experience in infrastructure automation, monitoring will definitely help.

Description:

The person in this role:

- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)

Preferred skills:

Perl
- Shell scripting

- Unix

- Jenkins

1. Building REST API's & Services In Django Framework
2. Building reusable code and libraries for future use
3. Optimization of the application for maximum speed and scalability
4. Implementation of security and data protection
5. Design and implementation of the database schema
6. Design and implementation of data storage solutions
7. Implementing CI/CD pipeline

• Proficient knowledge of a back-end programming language Python
• Hands-on experience with Python Frameworks like Django
• Proficient knowledge of MySQL, PostgreSQL
• Creating database schemas that represent and support business processes (Relational & NoSQL)
• Understanding of queueing systems like Redis/AWS SQS
• User authentication and authorization between multiple systems, servers, and environments
• Data migration, transformation, and scripting
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Proficient understanding of code versioning tools, such as Git

• Experience in Docker
• HandsOn Knowledge with implementing CI/CD pipelines
• Experience in managing applications on AWS
• Management of hosting environment, including database administration and scaling application to support load changes
• Product wide application-level thinking on API and data modeling