Backend Developer

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon (Work from Office)

Job Summary :

We are looking for an experienced Python Django Developer with strong expertise in building scalable web applications and distributed systems. The ideal candidate must have hands-on experience with Django, Redis, Celery, RabbitMQ, PostgreSQL, and Kafka to design and optimize high-performance applications.

Mandatory Skills :

Python, Django, Redis, Celery, RabbitMQ, PostgreSQL, Kafka

Key Responsibilities :

• Design, develop, and maintain web applications using Python & Django.
• Implement asynchronous tasks and background job processing using Celery with RabbitMQ/Redis.
• Work with PostgreSQL for database design, optimization, and complex queries.
• Integrate and optimize messaging/streaming systems using Kafka.
• Write clean, scalable, and efficient code following best practices.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams (frontend, DevOps, QA) for end-to-end delivery.
• Stay updated with the latest backend development trends and technologies.

Requirements :

• Minimum 3+ years of experience in backend development using Python & Django.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, and PostgreSQL.
• Strong understanding of REST APIs, microservices architecture, and asynchronous task management.
• Knowledge of performance tuning, caching strategies, and scalable system design.
• Familiarity with Git, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure) is a plus.
• Excellent problem-solving and communication skills.

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Job Title: L3 SDE (Python- Django)

Location: Arjan Garh, MG Road, Gurgaon

Job Type: Full-time, On site

Company: Timble technologies Pvt Ltd. (www.timbleglance.com)

Pay Range: 30K- 70K

**IMMEDIATE JOINERS REQUIRED**

About Us:

Our Aim is to develop ‘More Data, More Opportunities’. We take pride in building a cutting-edge AI solutions to help financial institutions mitigate risk and generate comprehensive data. Elevate Your Business's Credibility with Timble Glance's Verification and Authentication Solutions.

Responsibilities

• Writing and testing code, debugging programs, and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Ultimately, you’ll build highly responsive web applications that align with our client’s business needs

• Write effective, scalable code

• Develop back-end components to improve responsiveness and overall performance

• Integrate user-facing elements into applications

• Improve functionality of existing systems

• Implement security and data protection solutions

• Assess and prioritize feature requests

• Coordinate with internal teams to understand user requirements and provide technical solutions

• Creates customized applications for smaller tasks to enhance website capability based on business needs

• Builds table frames and forms and writes script within the browser to enhance site functionality

• Ensures web pages are functional across different browser types; conducts tests to verify user functionality

• Verifies compliance with accessibility standards

• Assists in resolving moderately complex production support problems

Profile Requirements

* 2 years or more experience as a Python Developer

* Expertise in at least one popular Python framework required Django

* Knowledge of object-relational mapping (ORM)

* Familiarity with front-end technologies like JavaScript, HTML5, and CSS3

* Familiarity with event-driven programming in Python

* Good understanding of the operating system and networking concepts.

* Good analytical and troubleshooting skills

* Graduation/Post Graduation in Computer Science / IT / Software Engineering

* Decent verbal and written communication skills to communicate with customers, support personnel, and management

**IMMEDIATE JOINERS REQUIRED**

Experience: 6+ Years

Location: Chennai & Pune

Work Model: Hybrid

Notice Period: Immediate Joiners Preferred

Role Overview

We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.

Key Responsibilities

• Design, develop, and maintain scalable applications using Python
• Build and optimize RESTful APIs using Flask or FastAPI
• Work on data manipulation, processing, and transformation using Python libraries
• Collaborate with cross-functional teams to define and deliver high-quality solutions
• Develop efficient, reusable, and reliable code with strong attention to performance
• Implement containerization and orchestration using Docker and Kubernetes
• Ensure application security, data protection, and compliance best practices
• Manage code versioning using Git and follow CI/CD best practices
• Contribute to cloud-based deployments and infrastructure
• Explore and implement solutions using Generative AI and Large Language Models (LLMs)

Required Skills & Qualifications

• 6+ years of hands-on experience in Python development
• Strong understanding of Python fundamentals and problem-solving skills
• Experience with data manipulation libraries (e.g., Pandas, NumPy)
• Expertise in building REST APIs using Flask or FastAPI
• Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with Docker and Kubernetes
• Strong knowledge of application security principles
• Proficiency in Git and version control practices
• Exposure to Generative AI concepts and working with LLMs

About the role

We are seeking a seasoned Backend Tech Lead with deep expertise in Golang and Python to lead our backend team. The ideal candidate has 6+ years of experience in backend technologies and 2–3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.

Responsibilities

Technical & Product Delivery

● Oversee design and development of backend systems operating at 10K+ RPM scale.

● Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).

● Partner with product managers to scope, prioritize, and release B2C product features and applications.

● Ensure architectural best practices, high-quality code standards, and robust testing practices.

● Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.

Operational Excellence

● Champion observability, monitoring, and reliability across backend services.

● Continuously improve system performance, scalability, and resilience.

● Streamline development workflows and engineering processes for speed and quality.

Requirements

● Experience:

7+ years of professional experience in backend technologies.

2-3 years as Tech lead and driving delivery.

● Technical Skills:

Strong hands-on expertise in Golang and Python.

Proven track record with high-scale systems (≥10K RPM).

Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.

● Leadership Skills:

Demonstrated success in managing teams through 2–3 appraisal cycles.

Strong experience working with product managers to deliver consumer-facing applications.

● Excellent communication and stakeholder management abilities.

Nice-to-Have

● Familiarity with containerization and orchestration (Docker, Kubernetes).

● Experience with observability tools (Prometheus, Grafana, OpenTelemetry).

● Previous leadership experience in B2C product companies operating at scale.

What We Offer

● Opportunity to lead and shape a backend engineering team building at scale.

● A culture of ownership, innovation, and continuous learning.

● Competitive compensation, benefits, and career growth opportunities.

• Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
• Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
• Good knowledge of REST API development and API authentication (JWT/OAuth).
• Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
• Basic understanding of cloud platforms (GCP or AWS).
• Experience with Git, branching strategies, and code reviews.
• Solid understanding of performance optimization and writing clean, efficient code.
• Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
• Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
• Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
• Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
• Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
• Use version control tools such as Git/BitBucket for collaborative development.
• Support and build data pipelines using Dataflow/Beam and BigQuery if required.
• Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
• Good to have Exposure to microservices architecture.
• Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
• 
  

We are looking for passionate people who love solving interesting and complex technology challenges, who are enthusiastic about building an industry first innovative product to solve new age real world problems. This role requires strategic leadership, the ability to manage complex technical challenges, and the ability to drive innovation while ensuring operational excellence. As a Backend SDE-2, you will collaborate with key stakeholders across the business, product management, and operations to ensure alignment with the organization's goals and play a critical role in shaping the technology roadmap and engineering culture.

Key Responsibilities

• Strategic Planning: Work closely with senior leadership to develop and implement engineering strategies that support business objectives. Understand broader organization goals and prepare technology roadmaps.
• Technical Excellence: Guide the team in designing and implementing scalable, extensible and secure software systems. Drive the adoption of best practices in technical architecture, coding standards, and software testing to ensure product delivery with highest speed AND quality.
• Project and Program Management: Setting up aggressive as well as realistic timelines with all the stakeholders, ensure the successful delivery of engineering projects as per the defined timelines with best quality standards ensuring budget constraints are met. Use agile methodologies to manage the development process and resolve bottlenecks.
• Cross-functional collaboration: Collaborate with Product Management, Design, Business, and Operations teams to define project requirements and deliverables. Ensure the smooth integration of engineering efforts across the organization.
• Risk Management: Anticipate and mitigate technical risks and roadblocks. Proactively identify areas of technical debt and drive initiatives to reduce it.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1-3 years of experience in software engineering
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical challenges.
• Proven track record of successfully delivering large-scale, high-impact software projects.
• Strong understanding of software design principles and patterns.
• Expertise in multiple programming languages and modern development frameworks.
• Experience with cloud infrastructure (AWS), microservices, and distributed systems.
• Experience with releational and non-relational databases.
• Experience with Redis, ElasticSearch.
• Experience in DevOps, CI/CD pipelines, and infrastructure automation.
• Strong communication and interpersonal skills, with the ability to influence and inspire teams and stakeholders at all levels.

Skills:- MySQL, Python, Django, AWS, NoSQL, Kafka, Redis, ElasticSearch

Software Architect

Bangalore, India / Engineering/ Full-time

Job Overview:

As a Software Architect, you will play a crucial role in designing, developing, and maintaining robust and scalable backend solutions for our software applications. You will be responsible for making strategic technical decisions, and collaborating with cross-functional teams to ensure the successful delivery of high-quality software products with scalable backend infrastructure. 

Responsibilities:

• System Architecture:
• Design and architect scalable, efficient, and maintainable backend systems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Technical Leadership:
• Provide technical leadership and guidance to the development team, ensuring best practices and coding standards are followed.
• Mentor and coach team members, fostering a culture of continuous learning and improvement.
• Backend Development:
• Lead the development of backend components, modules, and features primarily on Ruby on Rails tech stack and also be open to contribute in other tech stacks based on Java/Kotlin and Python.
• Implement and maintain APIs, data models, and database structures to support application functionality.
• Performance Optimization:
• Identify and address performance bottlenecks, ensuring optimal system response times and resource utilization.
• Implement caching strategies and other performance optimization techniques.
• Collaboration:
• Collaborate with frontend developers, product managers, and other stakeholders to integrate frontend and backend components seamlessly.
• Participate in code reviews to ensure code quality, adherence to standards, and knowledge sharing within the team.
• Security and Compliance:
• Implement and enforce security best practices to safeguard sensitive data.
• Stay updated on industry trends and emerging technologies to ensure compliance and security standards are met.
• Documentation:
• Create and maintain comprehensive technical documentation for the backend architecture, APIs, and development processes.
• Continuous Improvement:
• Proactively identify opportunities for process improvement and contribute to the evolution of development methodologies and practices.

Qualifications:

• Overall 10+ years of experience, with 2+ years as a Software Architect with a focus on backend development using Ruby on Rails.
• In-depth knowledge of Ruby on Rails framework, database design, and API development.
• Strong understanding of software architecture principles, design patterns, and best practices.
• Experience with performance optimization, scalability, and security considerations.
• Excellent communication and collaboration skills.
• Leadership experience with a demonstrated ability to mentor and guide development teams.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

Bonus points:

• Familiarity with front-end technologies and frameworks(ReactJs).
• Experience with other programming languages.(Kotlin/Python)
• Experience with cloud platforms and microservices architecture.
• Knowledge of DevOps practices and tools.(AWS, Kubernetes, )

Join us in revolutionizing the way software solutions are developed, and contribute to building cutting-edge applications that make a positive impact on our users and the industry.