Python backend developer

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

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

Job Title: Senior Software Engineer - Backend

About the firm:

Sustainability lies at the core of Stantech AI. Our vision is to empower organizations to derive actionable insights—effectuating a smarter way of working. We operate on the premise that each client is unique and as such requires their own idiosyncratic solutions. Putting this principle into practice, we deliver tailor-made solutions to digitalize, optimize, and strategize fundamental processes underpinning client organizations. For more information, please refer to our website: www.stantech.ai

Job Description:

As a Senior Software Engineer at Stantech AI, you will play a pivotal role in designing, developing, and maintaining enterprise-grade backend services and APIs that cater to the unique needs of our clients. You will be a key member of our engineering team and will contribute to the success of projects by leveraging your expertise in Python, SQL, and modern DevOps practices.

Key Responsibilities:

• Design, develop, and maintain high-performance backend applications and RESTful APIs using Python FastAPI framework.
• Optimize and maintain relational databases with SQL (data modeling, query optimization, and sharding) to ensure data integrity and scalability.
• Create, configure, and manage CI/CD pipelines using GitLab CI for automated build, test, and deployment workflows.
• Collaborate with cross-functional teams (data scientists, frontend engineers, DevOps) to gather requirements and deliver robust, scalable, and user-friendly solutions.
• Participate in architectural and technical decisions to drive innovation, ensure reliability, and improve system performance.
• Conduct code reviews, enforce best practices, and mentor junior engineers.
• Troubleshoot, diagnose, and resolve production issues in a timely manner.
• Stay up-to-date with industry trends, emerging technologies, and best practices.
• Bonus: Hands-on experience with server-level configuration and infrastructure—setting up load balancers, API gateways, and reverse proxies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 3 years of professional experience in backend development, with strong expertise in Python and SQL.
• Proven track record building and maintaining CI/CD pipelines using GitLab CI.
• Familiarity with containerization and orchestration technologies: Docker, Kubernetes.
• Solid understanding of software development lifecycle (SDLC) best practices, design patterns, and version control (Git).
• Excellent problem-solving, debugging, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Plus: Experience with front-end technologies (HTML, CSS, JavaScript) and cloud platforms (AWS, GCP, Azure).
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Financial Package:

Competitive salary in line with experience: ₹10–20 Lakhs per annum, contingent on qualifications and experience.

Responsibilities:

• Build scalable, service oriented web applications from scratch for technology products for European market.
• Maintain these applications for accuracy and high availability.
• Continuously identify opportunities to improve system designs, architecture and implementation standards
• Participate with founding, business and product teams in discussions on how to build and launch new modules.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
• Contribute in hiring highly ambitious engineers as the team grows.
• Being among the first people on the engineering team, be a culture driver.

Requirements:

• Experience of architecting and building products/business critical backend applications using different MVC frameworks.
• Experience with microservices.
• Experience of building and maintaining scalable applications using Node.js/MEAN stack.
• Experience of deploying and maintaining web applications.
• Experience with non relational databases like MongoDB.
• Understanding of relational databases like MySQL.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

• Exposure in building polyglot applications.
• Exposure for devops and related processes, preferably GCP.
• Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
• Exposure to basic frontend technologies to speed up collaboration with the frontend team.