SDE I: Backend Engineer (Symfony / Laravel)

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.

Role Overview

We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
• Work with JSON-based data structures for request/response handling.
• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
• Collaborate with the product and AI teams to implement new features.
• Debug, troubleshoot, and optimize performance of applications and workflows.
• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).
• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
• Experience with JSON data parsing and transformations.
• Familiarity with PostgreSQL or other relational databases.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and eagerness to learn.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Experience working in startups or fast-paced environments.
• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• Opportunity to work on cutting-edge AI applications in permitting & compliance.
• Collaborative, growth-focused, and innovation-driven work culture.
• Mentorship and learning opportunities in AI/LLM development.
• Competitive compensation with performance-based growth.

Job Title: Senior Python Developer – Product Engineering

Location: Pune, India

Experience Required: 3 to 7 Years

Employment Type: Full-time

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

🏢 About Our Client

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

🎯 Role Overview

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

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

🛠️ Key Responsibilities

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

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

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

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

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

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

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

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

📌 Required Skills & Experience

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

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

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

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

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

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

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

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

➕ Preferred/Bonus Skills

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

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

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

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

🌟 What We Offer

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

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

●      Hybrid work flexibility with competitive compensation and growth opportunities

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

Are you a high-performing, collaborative, results-oriented and technologically savvy person who is keen on sales in the digital industry? Then this highly visible role is for you!

Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories, and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen the doctor-patient relationship and enhance the in-clinic experience.

As the Sr. Java Developer, you will be responsible for developing cutting edge health-tech applications that include high scale transaction processing, intelligent bot-based programs, and data analytics

What you will do:

• Building components for the companys advanced health-tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively

What you need to have:

REQUIREMENTS:

Primary Skills -

• PHP Version 7.1.33 or higher
• Codeigniter 3 or higher (PHP MVC Framework)
• MS SQL Server 2005 (DB)
• Apache 2.4.6 or higher (Web Server)Ubuntu 18.04 or higher / Red Hat Linux / Similar (Operating System on machines).

Good to Have:

The knowledge of any of the following Content Management Systems:

• Magento
• Wordpress
• Prestashop
• Drupal
• Opencar

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
• AWS - experience in extensive use of AWS offerings like Redis, Kafka etc.
• 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

We are building for the future of work by changing the way the world looks at information and data paradigms. The Meaning Engine by India-based Needle Innovision enables building solutions by processing meaningful data out of anything stored anywhere - structured, unstructured data types, distributed, at scale and more. 

In our quest to do more, we are looking for a fantastic Java Tech Lead to join us in a hybrid setting from New Delhi. Below are some (seriously important) green flags that we are looking for from you: 

🟢 Ability to build and repeat the vision, not just work on tasks in the new phase of your career

🟢 The excitement to architect awesome products and resilient teams

🟢 Preparedness to move into enterprise-ready environments 

🟢 Build team motivation, delegate smartly and create a career path

This could be an awesome launching pad for someone who enjoys working towards big-picture goals, has a keen interest in leadership, and has a deep understanding of Java technologies.  Our teams are sustained on values of care and we offer a generous number of vacation days, the opportunity to craft your calendar with flexible schedules and very soon an insurance plan for you and your loved ones. We offer a starting salary range of 10-14LPA.

What you will do: 

• Collaborate with the client to understand problem statements and provide solutions for the same.
• Explain client requirements to the project team and plan and delegate work requirements
• Ensure the applications are released to production in the committed timeline
• Work with the QA team to ensure the code developed by the team passes the necessary quality check.
• Document application changes and development updates
• Set and evolve standards and best practices for our application development team 
• .Guide and mentor junior developers and engage in regular learning activities
• Oversee development process compliance and CI activities.

What you will bring: 

• 4 years minimum detail-oriented experience as a Senior Software Engineer.
• Experience in client interactions and/or are looking forward to doing that (preferred if, you have worked in B2B application development for large enterprises 🟢)
• Prior experience of at least one large project with a few people under your belt. (🟢)
• Expert-level knowledge of Java, Spring Boot, Oracle/Postgres.
• Expert-level knowledge on one or all of Hibernate/JPA/MyBatis.
• Experience in RESTful services and fundamentals of MVC architecture.
• Experience in working with and configuring web and application servers, such as Apache/Nginx/Tomcat.
• Proficient understanding of build tools, such as Maven/Gradle and code versioning tools, such as Git/SVN.
• Ability to review specifications documents and provide technical inputs on successfully implementing business solutions.

As a Java Tech Lead, you would be expected to understand business requirements, represent Needle to external stakeholders, and have experience in working in agile teams.

If leading a squad that implements digital transformation solutions at the intersection of data science and AI excites you, and if our awesome bite-sized team inspires you to be a part of our quest, we think you could be the one to help build the impact, we are looking to building here. 

Lets talk!

Office Location: Goregaon Mumbai

Position description:

4+ years of experience in database development.

Primary Responsibilities:

• Understand requirements from front end applications developers
• Write advanced queries, stored procedures, cursors, functions & triggers
• Conduct code reviews
• Work with high-traffic application servers
• Complete understanding of various DB like Postgresql, Mongo DB, MySQL 
• Ability to identify root cause and mitigate issues
• Ability to lead a team of DB developers

Required Skills:

Mandatory: Passionate about sports, Problem solving, Team player, Target & Result oriented, Strong communication skills

Functional: Oracle SQL, PostgreSQL Development - TSQL, Advance Queries, Query Optimization, Stored Procedures, Triggers & Cursors, Database Design, Indexes, Joins, ETL tools like SSAS, SSIS, High Data Volume Processing, DB Backup/Recovery.