Senior Software Engineer

Job Title : Python Backend Lead / Senior Python Developer

Experience : 6 to 10 Years

Location : Bangalore (CV Raman Nagar)

Openings : 8

Interview Rounds : 1 Virtual + 1 In-Person (Face-to-Face with Client)

Note : Only local Bangalore candidates will be considered

About the Role :

We are seeking an experienced Python Backend Lead / Senior Python Developer to design, develop, and optimize scalable backend solutions.

The role involves working with large-scale data, building efficient APIs, integrating middleware solutions, and ensuring high performance and reliability.

You will lead a team of developers while also contributing hands-on to coding, design, and architecture.

Mandatory Skills : Python (Pandas, NumPy, Matplotlib, Plotly), FastAPI/FlaskAPI, SQL & NoSQL (MongoDB, CRDB, Postgres), Middleware tools (Mulesoft/BizTalk), CI/CD, RESTful APIs, OOP, OOD, DS & Algo, Design Patterns.

Key Responsibilities :

• Lead backend development projects using Python (FastAPI/FlaskAPI).
• Design, build, and maintain scalable APIs and microservices.
• Work with SQL and NoSQL databases (MongoDB, CRDB, Postgres).
• Implement and optimize middleware integrations (Mulesoft, BizTalk).
• Ensure smooth deployment using CI/CD pipelines.
• Apply Object-Oriented Programming (OOP), Design Patterns, and Data Structures & Algorithms to deliver high-quality solutions.
• Collaborate with cross-functional teams (frontend, DevOps, product) to deliver business objectives.
• Mentor and guide junior developers, ensuring adherence to best practices and coding standards.

Required Skills :

• Strong proficiency in Python with hands-on experience in Pandas, NumPy, Matplotlib, Plotly.
• Expertise in FastAPI / FlaskAPI frameworks.
• Solid knowledge of SQL & NoSQL databases (MongoDB, CRDB, Postgres).
• Experience with middleware tools such as Mulesoft or BizTalk.
• Proficiency in RESTful APIs, Web Services, and CI/CD pipelines.
• Strong understanding of OOP, OOD, Design Patterns, and DS & Algo.
• Excellent problem-solving, debugging, and optimization skills.
• Prior experience in leading teams is highly desirable.

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.

• Experience in Core Java, CXF, Spring.
• Experience in spring boot, microservices.
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS, preferably Sybase database
• Good knowledge of multi-threading and high volume server side development
• Experience in sales and trading platforms in investment banking/capital markets
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Role:

• Design and Develop scalable high performance server applications
• Contribute towards scalable Design / Architecture for various modules / complete application
• Deliver high quality, robust, bug free code

Details

• Location – Pune
• Reporting to – CEO
• Team – To be built

This is what you will do

• Interface with the QA teams to ensure that the product meets desired quality standards
• Strong individual contributor who can develops excellent application without much supervision
• Excellent team player who can collaborate with other engineers to ship quality product in timely manner
• Assist Engineers in estimating effort, assigning tasks to engineers and tracking deliverables
• Research on new technologies, libraries and frameworks as per project needs
• Help maintain code quality, follow coding standards and guidelines
• Communicate on assignment progress / completion on a frequent basis

Educational Background:

• Engineering Graduate / Post Graduate Degree holder / MCA

Professional Experience:

• 4 – 7 Years of software development experience using Java/J2EE

Tech Skills

• Have very good hands on experience of Core Java, Spring, Hibernate and related JEE technologies
• Have good understanding of data structure and algorithms
• Good in programming fundamentals
• Basic understanding of HTML, CSS, JavaScript, Web technologies
• Basic understanding of RDBMS concepts, preferably using MySQL
• Good understanding of client-server architecture and multi-threading
• Knowledge of Web Services, XML and socket programming is plus
• Have very strong problem-solving skills

Other Skills

• Good listener
• Confident approach
• Strong problem-solving skill
• Highly proficient with MS Office
• Ability to structure processes and lay down the foundation for a department

Personality and attitude traits

• Passionate about work – We like people who like to work, and want their work to mean something
• Self-starter and motivator – We do not believe in monitoring or tracking team members
• Eager and quick to learn – If you are not excited to learn new things, then tech companies are not for you
• Individual contributor – We are a small team, and everyone has hands on contribution
• Start-up savvy

Job brief

As an Application Developer at Bridgei2i, you will participate in development and implementation of custom projects and products of Bridgei2i in Business Intelligence Applications. The role includes working closely with lead, testers, project managers, designers. 

You are expected to develop prototypes of the system design and work with lead, backend developers, testers and project managers as appropriate throughout development cycle. You will be developing bug free, maintainable, scalable web applications.

Requirements

• Working knowledge in JavaScript, CSS and HTML, Java/J2EE
• Experience of 1 + year's atleast in application development 
• Possess good knowledge of object-oriented design and development (OOA/OOD), algorithm and data structure
• Basic knowledge of web services (SOAP & Restful)
• Basic knowledge of relation database, SQL
• Knowledge in any of one of UI frameworks (AngularJS, ReactJS, NPM, node.js, JQuery) , or Spring or Struts
• Curiosity and attention to detail 
• Adaptable to changing technology and restrictions, design challenges, deadlines, and project requirements 

About the Company

Leap Info Systems Pvt. Ltd. - A software product company with its products and solutions in the convergent lighting controls and automation. Recently Leap acquired elitedali – worlds first Niagara based lighting controls and automation solution, from one of the leading US organization.

We are a passionate team on a mission to develop innovative controls and automation products. We are expanding our product development team and are in search of like-minded highly passionate team members who would like to contribute to the leading lighting controls and automation product. We have customers in India, Europe, USA, and Australia.

Eligibility

Any suitable graduates (0 to 2 years experienced) who meet prescribed qualities and job responsibilities. Preferred but not limited to engineering graduate in Computer/IT/Instrumentation/EnTC etc.
Job Responsibilities

Be a part of the product development team for maintaining as well as developing new products based on JAVA and Niagara Software framework.

Qualities

• Self-Learner
• Analytical skills
• Able to work with Cross-functional team
• Problem-solving approach
• Good Team Player with Positive vibes

What you must have,

• Hands-on programming at academic or at the hobby level.
• Good knowledge of Java/J2EE related technologies
• Good knowledge of solution-based approaches
• Good communication skills - phone, email and in-person.

What you can expect from LEAP,

• Positive conducive working environment to grow with cross-functional team members.
• Flexi working hours with defined responsibilities.
• Opportunity to work with leading open standard automation framework like Niagara Software, Lighting controls technologies like DALI, Wireless etc
• Be the active part of an emerging global product company

Job description

Do you want to work with high traffic OLTP and OLAP systems that provide real value to retailers? Want to build real web applications that work across multiple channels and devices? In this critical role, the right candidate should have an entrepreneurial mind-set, have experience working across an application stack and a strong background in developing complex web experiences that are rich, responsive and interactive. The individual should have exhibited good technical leadership skills and be a highly motivated individual.

Role & Responsibility

• Exhibit strong technical knowledge, leadership skills and independent execution.
• A keen eye for good experiences. Understanding the experience from a customer perspective.
• Drive design discussion of complex features and own development of these modules across the application stack.
• Ability to adapt to changing business and product needs.
• Experience evolving the design and operation scale as new features are added to the product
• Mentor junior developers and ensure quality code output (via code reads, reading references, etc.) from them.
• Co-ordinate with internal teams and external partners in ensuring we build the best solution on time for the customer. Constantly looking at ways to innovate and improve the product.
• 8+ years of experience in Java & J2EE based Web Technologies & Frameworks with a focus in either Service Oriented Architecture or APIs. 
• Experience in designing scalable solutions in a large-scale distributed environment.
• Strong knowledge of web technologies, common web frameworks, networking, SQL and database technologies
• Well versed in software engineering principles, frameworks and technologies
• Strong debugging / troubleshooting skills.
• Ability to propose and defend solutions.
• Ability to work closely with product management, customer support, and  other engineering teams to continuously evolve and innovate the enterprise-class Products.