Consulting Staff Engineer - Analytics

Position Title : Python Django Developer

Location : Gurgaon (6 Days WFO)

Experience : 3+ Years

Job Overview :

We are looking for a skilled Python Django Developer with a strong background in developing scalable, high-performance web applications. The ideal candidate must have 3+ Years of hands-on experience in Django and related technologies, including RabbitMQ, Redis, Celery, and PostgreSQL, to ensure seamless background task management, caching, and database performance.

Key Responsibilities :

• Develop, maintain, and enhance Django-based web applications and APIs.
• Design and implement message broker solutions using RabbitMQ for asynchronous communication.
• Integrate Redis for caching and session management to optimize application performance.
• Implement and manage task queues using Celery for efficient background processing.
• Work with PostgreSQL, ensuring proper database design, query optimization, and performance tuning.
• Collaborate with front-end developers, DevOps engineers, and stakeholders to deliver high-quality software solutions.
• Write clean, modular, and well-documented code following best practices.
• Debug, troubleshoot, and resolve issues across the application stack.
• Participate in code reviews, system design discussions, and team meetings.
• Ensure scalability, reliability, and security of applications.

Required Technical Skills :

• Minimum 3+ Years of relevant experience in Python and Django framework.
• Proficiency in RabbitMQ for message brokering.
• Hands-on experience with Redis for caching and session management.
• Strong knowledge of Celery for distributed task queues.
• Experience with PostgreSQL, including database design, indexing, and optimization.
• Expertise in RESTful API design and development.
• Understanding of Docker and containerized applications.

Preferred Skills :

• Experience with CI/CD pipelines for automated deployments.
• Familiarity with cloud platforms like AWS or GCP.
• Knowledge of Django ORM and its performance optimizations.
• Basic understanding of front-end technologies (HTML, CSS, JavaScript).

Soft Skills

• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to adapt to an agile development environment and evolving requirements.

Educational Qualifications :

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

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.

Position = Java Developer

We are looking forward to hire a committed Java Developer with experience in building high performing, scalable, enterprise-grade applications. You will be part of our Engineering team that works on mission-critical applications. You will be managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.

You are required to:

Contributing in all phases of the development lifecycle.

Write well designed, testable & efficient code.

Ensure designs are in compliance with specifications.

Prepare and produce releases of software components.

Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Technical Skills required

Java, Springboot, Microservices, Data structures & Algorithms, MySQL, NoSQL, Mongodb and Hibernate.

OUR CURRENT STACK

Backend: Spring (JAVA), Laravel (PHP), MySQL, NoSQL, NGINX Plus.

Frontend: Angular 5+ Ngrx/store 5

Infrastructure: Google cloud platform (App engine, CloudSQL, BigQuery, PubSub, Firebase Hosting), Scrapy Cloud, Pusher.io (websockets), Getstream.io, Filestack, Postmark app, AS2 Gateway, Google Cloud Endpoints Framework, MongoDB, Algolia, Memcache

Tools: Gitlab, Postman app, JIRA. Wondering what your Responsibilities would be? Technical Skills required O

You are where our search ends, if you hold:

B. Tech/ M. Tech or corresponding degree

Experience in the same role of almost 1-6 years

Experience with connecting backend and frontend services.

Exposure to consuming data through different interfaces (Web API's/Socket/ REST/ RESTFUL/ JSON/ XML).

Proficiency in Data Structures and Algorithms.

Understanding of web markup, including HTML 5 CSS.

Understanding of client-side scripting and JavaScript frameworks.

Ability to write clean, reusable and well documented code.

Proficient understanding of code versioning tools, such as Git.

Knowledge of API authentication techniques (Token, JWT, OAuth2) - desirable but not mandatory. (Experience with API Design will be a plus)

Fair spoken and written English Flexibility - Things change around here. FAST!

Other Inter-personal skills like self-motivation, persistency, patience and eagerness to learn and work independently.

• Java
• Springboot
• REST API
• Microservices

• Deep understanding of Django and DRF
• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• 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

Role: Senior Software Engineer – Backend                                            Location: Bangalore / Gurgaon / Pune

About the Role

The successful backend engineer will work closely and collaboratively with cross functional teams during all phases of the software development lifecycle.

The incumbent should be competent to provide quick solutions to problems and taking a product or a product’s component through the entire life cycle, optimize the space / time complexity and improve on usability and reliability.

What you’ll be doing:

• Bachelor's degree in Computer Science or related field from top notch colleges 
• 4 + years of software development engineering.
• Understanding of fundamental design principles (including MVC).
• Good hands on in AWS scalable environment.
• Experience with different RDBMS and No SQL databases like MySQL, mongo, etc.
• Experience in designing scalable micro-services required.
• Strong knowledge of CS fundamentals including data structures, algorithm design and complexity analysis.
• Proficiency in one language that emphasizes class abstractions (for e.g. Java) and have coded in it for at least 4 years.
• Excellent communication, analytical and problem solving skills.
• Strong organizational skills and the ability to prioritize and work with clients with great efficiency.
• Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly.
• Open minded, Team builder, Good communicator and ability to lead and inspire teams.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
• Experience in dealing with ambiguous/undefined problems; ability to think abstractly

What are we looking for?

• 4 to 10 years of hands on design / development experience. 
• Tech / M.Tech Computer Science or equivalent field from a premier institutes. 
• Proficient in Java OR C/C++, data structures, algorithms and OO design / design patterns. 
• Strong understanding of Computer Science fundamentals. 
• Technical depth in OS, computer architecture and OS internals. 
• Ability to write scalable and maintainable code. 
• Self-starter and goal-oriented with strong analytical and problem-solving skills. 
• Must be able to work cooperatively within a strong diverse technical community to expedite development tasks.
• Experience in Machine Learning is a plus

 
What we offer

• Competitive salary and excellent benefits, in a diverse working environment with inspiring and hardworking colleagues
• A positive, get-things-done workplace.
• An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
• Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale.
• A flexible working environment where you can drive your outcomes.

About us

At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at www.payu.com

Our Commitment to Building A Diverse and Inclusive Workforce

As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities.