Backend Developer

Job Title: Senior Python Developer – Product Engineering

Location: Pune, India

Experience Required: 3 to 7 Years

Employment Type: Full-time

Employment Agreement: Minimum 3 years (At the completion of 3 years, One Time Commitment Bonus will be applicable based on performance)

🏢 About Our Client

Our client is a leading enterprise cybersecurity company offering an integrated platform for Digital Rights Management (DRM), Enterprise File Sync and Share (EFSS), and Content-Aware Data Protection (CDP). With patented technologies for secure file sharing, endpoint encryption, and real-time policy enforcement, helps organizations maintain control over sensitive data — even after it leaves the enterprise perimeter.

🎯 Role Overview

We are looking for a skilled Python Developer with a strong product mindset and experience building scalable, secure, and performance-critical systems. You will join our core engineering team to enhance backend services powering DRM enforcement, file tracking, audit logging, and file sync engines.

This is a hands-on role for someone who thrives in a product-first, security-driven environment and wants to build technologies that handle terabytes of enterprise data across thousands of endpoints.

🛠️ Key Responsibilities

●      Develop and enhance server-side services for DRM policy enforcement, file synchronization, data leak protection, and endpoint telemetry.

●      Build Python-based backend APIs and services that interact with file systems, agent software, and enterprise infrastructure.

●      Work on delta sync, file versioning, audit trails, and secure content preview/rendering services.

●      Implement secure file handling, encryption workflows, and token-based access controls across modules.

●      Collaborate with DevOps to optimize scalability, performance, and availability of core services across hybrid deployments (on-prem/cloud).

●      Debug and maintain production-level services; drive incident resolution and performance optimization.

●      Integrate with 3rd-party platforms such as LDAP, AD, DLP, CASB, and SIEM systems.

●      Participate in code reviews, architecture planning, and mentoring junior developers.

📌 Required Skills & Experience

●      3+ years of professional experience with Python 3.x, preferably in enterprise or security domains.

●      Strong understanding of multithreading, file I/O, inter-process communication, and low-level system APIs.

●      Expertise in building RESTful APIs, schedulers, workers (Celery), and microservices.

●      Solid experience with encryption libraries (OpenSSL, cryptography.io) and secure coding practices.

●      Hands-on experience with PostgreSQL, Redis, SQLite, or other transactional and cache stores.

●      Familiarity with Linux internals, filesystem hooks, journaling/logging systems, and OS-level operations.

●      Experience with source control (Git), containerization (Docker/K8s), and CI/CD.

●      Proven ability to write clean, modular, testable, and scalable code for production environments.

➕ Preferred/Bonus Skills

●      Experience in EFSS, DRM, endpoint DLP, or enterprise content security platforms.

●      Knowledge of file diffing algorithms (rsync, delta encoding) or document watermarking.

●      Prior experience with agent-based software (Windows/Linux), desktop sync tools, or version control systems.

●      Exposure to compliance frameworks (e.g., DPDP Act, GDPR, RBI-CSF) is a plus.

🌟 What We Offer

●      Work on a patented and mission-critical enterprise cybersecurity platform

●      Join a fast-paced team focused on innovation, security, and customer success

●      Hybrid work flexibility with competitive compensation and growth opportunities

●      Direct impact on product roadmap, architecture, and IP development

We are looking for a Senior Backend Engineer to build and operate the core AI/ML-backed systems that power large-scale, consumer-facing products. You will work on production-grade AI runtimes, retrieval systems, and ML-adjacent backend infrastructure, making pragmatic tradeoffs across quality, latency, reliability, and cost.

This role is not an entry point into AI/ML. You are expected to already have hands-on experience shipping ML-backed backend systems in production.

At Proximity, you won’t just build APIs - you’ll own critical backend systems end-to-end, collaborate closely with Applied ML and Product teams, and help define the foundations that power intelligent experiences at scale.

Responsibilities -

• Own and deliver end-to-end backend systems for AI product runtime, including orchestration, request lifecycle management, state/session handling, and policy enforcement.
• Design and implement retrieval and memory primitives end-to-end — document ingestion, chunking strategies, embeddings generation, indexing, vector/hybrid search, re-ranking, caching, freshness, and deletion semantics.
• Productionize ML workflows and interfaces, including feature and metadata services, online/offline parity, model integration contracts, and evaluation instrumentation.
• Drive performance, reliability, and cost optimization, owning P50/P95 latency, throughput, cache hit rates, token and inference costs, and infrastructure efficiency.
• Build observability by default, including structured logs, metrics, distributed tracing, guardrail signals, failure taxonomies, and reliable fallback paths.
• Collaborate closely with Applied ML teams on model routing, prompt and tool schemas, evaluation datasets, and release safety gates.
• Write clean, testable, and maintainable backend code, contributing to design reviews, code reviews, and operational best practices.
• Take systems from design → build → deploy → operate, including on-call ownership and incident response.
• Continuously identify bottlenecks and failure modes in AI-backed systems and proactively improve system robustness.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6–10 years of experience building backend systems in production, with 2–3+ years working on ML/AI-backed products such as search, recommendations, ranking, RAG pipelines, or AI assistants.
• Strong practical understanding of ML system fundamentals, including embeddings, vector similarity, reranking, retrieval quality, and evaluation metrics (precision/recall, nDCG, MRR).
• Proven experience implementing or operating RAG pipelines, covering ingestion, chunking, indexing, query understanding, hybrid retrieval, and rerankers.
• Solid distributed systems fundamentals, including API design, idempotency, concurrency, retries, circuit breakers, rate limiting, and multi-tenant reliability.
• Experience with common ML/AI platform components, such as feature stores, metadata systems, streaming or batch pipelines, offline evaluation jobs, and A/B measurement hooks.
• Strong proficiency in backend programming languages and frameworks (e.g., Go, Java, Python, or similar) and API development.
• Ability to work independently, take ownership of complex systems, and collaborate effectively with cross-functional teams.
• Strong problem-solving, communication, and system-design skills.

Desired Skills -

• Experience with agentic runtimes, including tool-calling or function-calling patterns, structured outputs, and production guardrails.
• Hands-on exposure to vector and hybrid retrieval stacks such as FAISS, Milvus, Pinecone, or Elasticsearch.
• Experience running systems on Kubernetes, with strong knowledge of observability stacks like OpenTelemetry, Prometheus, Grafana, and distributed tracing.
• Familiarity with privacy, security, and data governance considerations for user and model data.

Benefits

• Best in class compensation: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet engineers, designers, and product leaders — and learn from experts across domains.

Keep on learning with a world-class team: Work on real, production AI systems at scale, challenge yourself daily, and grow alongside some of the best minds in the industry.

Key Responsibilities:

● Work closely with product managers, designers, frontend developers, and other

cross-functional teams to ensure the seamless integration and alignment of frontend and

backend technologies, driving cohesive and high-quality product delivery.

● Develop and implement coding standards and best practices for the backend team.

● Document technical specifications and procedures.

● Stay up-to-date with the latest backend technologies, trends, and best practices.

● Collaborate with other departments to identify and address backend-related issues.

● Conduct code reviews and ensure code quality and consistency across the backend team.

● Create technical documentation, ensuring clarity for future development and

maintenance.

Requirements;

● Experience: 4-6 years of hands-on experience in backend development, with a strong

background in product-based companies or startups.

● Education: Bachelor’s degree or above in Computer Science or a related field.

● Programming skills: Proficient in Python and software development principles, with a

focus on clean, maintainable code, and industry best practices. Experienced in unit

testing, AI-driven code reviews, version control with Git, CI/CD pipelines using GitHub

Actions, and integrating New Relic for logging and APM into backend systems.

● Database Development: Proficiency in developing and optimizing backend systems in

both relational and non-relational database environments, such as MySQL and NoSQL

databases.

● GraphQL: Proven experience in developing and managing robust GraphQL APIs,

preferably using Apollo Server. Ability to design type-safe GraphQL schemas and

resolvers, ensuring seamless integration and high performance.

● Cloud Platforms: Familiar with AWS and experienced in Docker containerization and

orchestrating containerized systems.

● System Architecture: Proficient in system design and architecture with experience in

developing multi-tenant platforms, including security implementation, user onboarding,

payment integration, and scalable architecture.

● Linux Systems: Familiarity with Linux systems is mandatory, including deployment and

management.

● Continuous Learning: Stay current with industry trends and emerging technologies to

influence architectural decisions and drive continuous improvement.

Benefits:

● Competitive salary.

● Health insurance.

● Casual dress code.

● Dynamic & Collaboration friendly office.

● Hybrid work schedule.

Industry

• IT Services and IT Consulting

Employment Type

Full-time

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.

• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.

• Should have work experience on the following stacks/libraries: Flask

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python

• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Understanding of accessibility and security compliance

• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

Role Responsibilities:

● Analyze business requirements

● Develop and customize Odoo modules

●

Integrate Odoo with 3rd Party systems

● Troubleshooting

● Share ideas on how to continuously improve the system and way of working

Requirements:

The desired candidate should have below skills:

● Working knowledge of Python with the Odoo-framework (minimum 3 years experience)

● Should be familiar with the latest versions of Odoo.

● Have experience with Object Oriented programming.

● Have knowledge of PostgreSQL.

● Should have experience with Python unit testing.

● Have experience with setup of interfaces between different systems using API’s.

● Should be familiar with Agile and Scrum methodology.

● Have experience with collaboration tools like Git, Buildout, Jira, Confluence, etc

● Have experience with Linux (Ubuntu)

Description:

For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose-built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,900 companies and have detected 100 Million threats/day. 

We work in a fast-paced, dynamic and make it happen culture. Our people are some of the brightest and passionate in the industry that thrives on being the first to solve problems.  We are always looking to hire highly passionate, collaborative and humble people that want to make a difference.

About the role :

This is a senior staff backend engineer role in the engineering team that designs, implements and maintains our state of the art product IllusionBLACK. The team is responsible for designing and implementing secure, highly performant and maintainable product.

Responsibilities:

• Architect, develop and maintain high performance, fault tolerant and scalable cloud hosted service using NodeJS
• End to end responsibility to continuously create and monitor the services you build
• Help design reusable and clean API's for our frontend React app
• Guide team members with handling complex issues
• You will also be responsible for database schema design and development of migration scripts
• Experiment with new technologies and ideas and help shape our stack and processes

Requirement:

• 10+ years professional SW development experience
• All our production applications are built with either Typescript or Python. You must have a strong understanding of NodeJS express apps written in Typescript and ES6
• Must have good experience with Python
• Solid experience with databases is a must. We use and love Postgres here at Smokescreen
• You should be able to design a complex database SQL schema normalized to 3NF on the back of a napkin at 3am in the morning
• Deep understanding and working knowledge of Redis cache
• Experience with Solr or Elasticsearch is a must. We use Solr for our event analytics exclusively
• Experience with AWS, Azure or GCP is a plus. We have a large distributed application running on AWS
• Experience with Docker/Swarm is a plus
• Experience in some stream processing platforms like Kafka/Redis stream is a plus

• Relevant Experience : Minimum 2 Years
• You have prior experience developing and working on consumer facing web/app products
• Hands-on experience on Python. Exceptions can be made if you’re really good on any other language with experience on building web/app based tech products
• Experience in at least one of the following frameworks - Django, Flask, Falcon, web2py, Twisted, Tornado
• Working knowledge of MySQL, MongoDB, Redis
• Good understanding of Data Structures, Algorithms and Operating Systems
• You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3
• You can dabble in Frontend codebases using HTML, CSS and Javascript
• You love doing things efficiently. At Fynd, the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves
• You might not have experience with all the tools that we use but you can learn those given the guidance and resources

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity