Senior Backend Developer

🚀 Job Title : Backend Engineer (Go / Python / Java)

Experience : 3+ Years

Location : Bangalore (Client Location – Work From Office)

Notice Period : Immediate to 15 Days

Open Positions : 4

Working Days : 6 Days a Week

🧠 Job Summary :

We are looking for a highly skilled Backend Engineer to build scalable, reliable, and high-performance systems in a fast-paced product environment.

You will own large features end-to-end — from design and development to deployment and monitoring — while collaborating closely with product, frontend, and infrastructure teams.

This role requires strong backend fundamentals, distributed systems exposure, and a mindset of operational ownership.

⭐ Mandatory Skills :

Strong backend development experience in Go / Python (FastAPI) / Java (Spring Boot) with hands-on expertise in Microservices, REST APIs, PostgreSQL, Redis, Kafka/SQS, AWS/GCP, Docker, Kubernetes, CI/CD, and strong DSA & System Design fundamentals.

🔧 Key Responsibilities :

• Design, develop, test, and deploy backend services end-to-end.
• Build scalable, modular, and production-grade microservices.
• Develop and maintain RESTful APIs.
• Architect reliable distributed systems with performance and fault tolerance in mind.
• Debug complex cross-system production issues.
• Implement secure development practices (authentication, authorization, data integrity).
• Work with monitoring dashboards, alerts, and performance metrics.
• Participate in code reviews and enforce engineering best practices.
• Contribute to CI/CD pipelines and release processes.
• Collaborate with product, frontend, and DevOps teams.

✅ Required Skills :

• Strong proficiency in Go OR Python (FastAPI) OR Java (Spring Boot).
• Hands-on experience building Microservices-based architectures.
• Strong understanding of REST APIs & distributed systems.
• Experience with PostgreSQL and Redis.
• Exposure to Kafka / SQS or other messaging systems.
• Hands-on experience with AWS or GCP.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Strong knowledge of Data Structures & System Design.
• Ability to independently own features and solve ambiguous engineering problems.

⭐ Preferred Background :

• Experience in product-based companies.
• Exposure to high-throughput or event-driven systems.
• Strong focus on code quality, observability, and reliability.
• Comfortable working in high-growth, fast-paced environments.

🧑‍💻 Interview Process :

• 1 Internal Screening Round
• HR Discussion (Project & Communication Evaluation)
• 3 Technical Rounds with Client

This is a fresh requirement, and interviews will be scheduled immediately.

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 Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Engineering Lead (Backend/Full stack)

About

It is a mission-oriented high-growth fintech startup building payment &

lending products to simplify education payments. Jodo’s suite of products make education payments convenient & affordable for parents while simplifying & streamlining fee collections for educational institutes. Jodo aims to be a category-defining company with a mission to be a

trusted partner to parents in fulfilling their aspirations for their kids’ education.

We are backed by marquee VC investors – Tiger Global, Elevation Capital and Matrix Partners – to realize this mission. It is started by three co-founders who have a pedigreed education

(IIT/IIM) and professional background (Nomura, Goldman Sachs, Morgan Stanley, Barclays, Matrix Partners).

🎬Job Description:

We are looking for an Engineering Leader with a focus on building maintainable and scalable applications. The Lead will be responsible for the design and development of Jodo’s fee payments platform and be owning one of the products/verticals. Leads will be closely working

with Product Managers and Founders to execute projects from ideation to completion. As a hands-on Team Lead, you will take ownership of services/systems and guide a team of

developers.

📈Key Responsibilities

● Own and drive the development of one or more of Jodo’s products

● Take the lead in the design and development of the backend platform

● Mentor a team of developers, promote collaboration and engagement, and promote practices that improve the developer experience

● Work closely with Product Managers and Founders to brainstorm requirements and prioritize

● Own quality - actively participate in code reviews

● Own reliability - continuously monitor Production Health, proactively fix production issues

● Own execution - Plan and delegate work for the team, optimize for speed of development and incremental delivery

📃Requirements

● 6+ years of hands-on experience in application development

● 1+ years of leading a team

● Experience in working with distributed systems

● Proficient in building Microservices/RESTful APIs with any modern tech stack

● Working knowledge of relational and nonrelational databases

● Prior working knowledge of Python/Django is a big plus

● Familiarity with modern CI/CD tools

● Knowledge of AWS or any other Cloud Platform services

● Champion code quality and drive best practices

● Ability to analyze and convert business requirements into technical requirements

● Self-starter and ability to take the ownership

● Prior experience working in a startup environment is great to have

● Excellent communication and interpersonal skills

🤩Benefits

● Becoming a part of the early core team

● Competitive salary

● Work with colleagues from strong backgrounds & hungry to succeed

● Opportunity to interact with and learn from high-pedigree investors & mentors -

○ VCs: Elevation Capital (erstwhile SAIF Partners), Matrix Partners

○ Select angel investors: Kunal Shah, Nithin Kamath, Amit Ranjan

🔎What are we looking for?

● Self-starter with a high sense of ownership → Comfortable to work with minimal

supervision

● Hungry to learn and grow → Passion to learn & be a better version of oneself; motivated to succeed

● Bias for action → Have the temperament to experiment and execute in uncertainty

● Hustler → Ability to generate resources to solve a problem

● Intellectual honesty → Always seeking and presenting truth irrespective of personal

POV or beliefs

● Mission-oriented → Deeply care about delivering value and making an impact on customer’s lives

✅Key Details

● Role: Engineering Lead

● Location: Bengaluru

● Compensation: Negotiable based on candidate profile (structured as Fixed + ESOPs)

● Date of Joining: ASAP

Job Responsibilities

✓ Perform the role of Technical Lead on assigned projects to drive solution design (especially backend) and API services development.

✓ Be the thought leader and champion for above mentioned technologies.

✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.

✓ Drive tasks related to backend development by providing architectural and technical leadership to mid-tier and database developers.

✓ Conduct peer reviews as the lead into Git to confirmed that developed code meets acceptable standards and guidelines.

✓ Work closely with the rest of the leads, mid-tier development, front-end developers, database developers, etc. to ensure end-to-end integrity of the solution being developed.

✓ Work closely with the rest of the tech leads and senior engineering leadership team to ensure reuse where applicable to increase productivity and throughput.

✓ Conduct technical interview to staff open positions in the backend team.

✓ Delegate work and assignments to team members

✓ Collaborate with their team to identify and fix technical problems

✓ Analyze users' needs and then finding applications to serve them

✓ Drive assigned tasks related to SOC 2 certification and ensure compliance to defined controls for areas under lead’s purview.

✓ Guiding their team through technical issues and challenges

✓ Prepare Technical design documents which would help the team to understand the technical flow

✓ Active participation in customer calls especially discussions related to Technical/Architectural and provide inputs.

Required Experience: 

✓ Backend Lead around 14 years of experience

✓ Server less Computing Architecture

✓ NodeJS, MySQL, Jenkins, Python, GitLab Technologies

✓ Good knowledge of AWS Cloud

✓ Full cycle AWS implementation experience

✓ Project experience in development and maintenance support for AWS web service and Cloudbased implementations

✓ Experience leading teams of up to 10 + professionals

Ability to manage multiple tasks and projects in a fast-moving environment 

Educational Qualifications: 

Engineering graduate or B. Tech/MCA with relevant major subjects like Computer Science

Responsibilities

• Plan, develop and implement large-scale projects from conception to completion.
• Interface with clients and gather business requirements and objectives.
• Translate clients’ business requirements and objectives into technical applications and solutions.
• Understand and evaluate complex data models.
• Design, develop and implement new integration.
• Execute system development and maintenance activities.
• Develop solutions to improvise performance and scalability of systems.
• Mentor junior and mid-level engineers.

Minimum Requirements

• 3-5 years of relevant experience, working in Java related technologies.
• A Good Engineering or Masters degree from a reputed university
• Should have strong technical skills with a good grasp of OO concepts and design patterns

• Good knowledge of SQL database ( MySQL, Oracle, etc )
• Good understanding of frameworks like Spring, Hibernate, etc.
• Good understanding of spring boot and microservices.
• Exposure to AWS services - S3, SQS, Lambda, DynamoDB, API Gateway, etc.

Good to have

• Knowledge of No-SQL DBs like mongo, dynamoDB, etc.
• Knowledge of message brokers/queuing services like SQL, rabbitMQ, Kafka, etc.

Requirements:

• Expert in Python, with good knowledge in Django technology.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.
• Experience in Flask will be an add-on
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Able to create database schemas that represent and support business processes.
• Proficient understanding of code versioning tools.
• Good communication skills.

Primary Responsibilities

• Design, architect and develop advanced software solutions in a cross functional Agile team supporting multiple projects and initiatives
• Collaborate with product owners and/or the business on requirements definition, development of functional specifications, and design
• Collaborate on or lead development of technical design and specifications as required
• Code, test and document new applications as well as changes to existing system functionality and ensure successful completion
• Take on leadership roles as needed

Skills & Requirements

• Bachelor’s Degree required, preferably in Computer Science or related field
• 3+ years of software development experience using GoLang/Java programming language
• Experience with cloud technologies (AWS/Azure/GCP/Pivotal Cloud Foundry/any private cloud) and containerization is required
• Experience with a micro-services architecture is a plus
• Excellent communication, collaboration, reporting, analytical and problem solving skills
• Experience with PostgreSQL or other Relational Databases
• Test-driven development mindset and a focus on quality, scalability and performance
• Strong programming fundamentals and ability to produce high quality code
• Solid understanding of Agile (SCRUM) Development Process required

• Bachelor’s Degree in Computer Science or equivalent
• 8-12 years’ of industry experience in programming web applications, mobile and/or large scale enterprise products
• Deep knowledge of C#, ASP, .NET, MVC, .Net core
• Deep knowledge and extensive experience working on Ruby or React and JavaScript, as required
• Experience with XML, ADO/ADO.NET, LINQ, AJAX, IIS
• Extended experience with SQL, relational and non-relational databases
• Experience in TFS and Visual Studio
• Hands on experience with SDLC and programming design patterns
• Experience with Agile methodology
• Skillful at reviewing new feature impact on an application and recognizing potential risks
• Uses time effectively and efficiently
• Quickly learns new technologies
• Detailed oriented, professional and possesses a positive work attitude
• Communicate professionally both verbally and in writing
• Effective time management skills
• Knowledge on UI technologies will be plus

PRINCIPAL DUTIES AND RESPONSIBILITIES:

• Develops software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.
• Conducts systems analysis and makes recommendations to improve the system to achieve an outcome.
• Promotes internal best practices and coding conventions to write and execute tests for your own code, including creating comprehensive unit tests.
• Contributes to Technical Requirements Documents.
• Requests constructive feedback for designs early in the process.
• Communicates successfully with large teams and many stakeholders.
• Provides mentorship for Software Engineers and participates in interview panels to hire new Software Engineers.
• Assists in removing obstacles for the team to yield successful sprints.
• Performs peer code reviews to ensure quality of the codebase.
• Ability to decompose and delegate work to junior engineers.
• Updates job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations.
• Works effectively with multiple projects and features.
• All other duties as assigned.