Senior Software Engineer

NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍Location: Bengaluru, India (Hybrid / On-Site)

🏢Sector: Technology, Information & Media

👥Company Size: 500 – 1,000 Employees

💼Employment: Full-Time, Permanent

🎯Experience: 6 – 9 Years (Backend Engineering)

🚀 Level: Tech Lead

ABOUT THIS MANDATE

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations — a company operating at the intersection of Technology, Information, and Media — to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure — migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% — engineers who think in systems, own outcomes, and lead by example.

THE OPPORTUNITY AT A GLANCE

🏗️ Architecture Ownership

Drive system design decisions across the entire backend platform. Shape the future of distributed, fault-tolerant architecture.

🤖 AI-Augmented Engineering

Embed GenAI and LLM tooling directly into the SDLC. Champion automation-first development practices across squads.

🎓 Engineering Leadership

Mentor and grow the next generation of backend engineers. Lead hiring, reviews, and cross-functional technical alignment.

KEY RESPONSIBILITIES

1. Architecture & Platform Modernisation

• Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture
• Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets
• Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)
• Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings
• Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade)

• Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies
• Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls
• Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents
• Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics
• Apply Saga orchestration and choreography patterns for distributed transaction integrity
• Execute zero-downtime deployments and canary release strategies with rollback capability
• Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices

• Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle
• Apply prompt engineering techniques for automated code generation, review, and documentation workflows
• Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation
• Build automation-first pipelines that reduce toil and accelerate delivery velocity
• Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture

• Own backend platforms end-to-end with full accountability across development, stability, and performance
• Actively mentor, coach, and elevate engineers at all levels (L3–L6) through structured 1:1s and code reviews
• Drive and lead technical hiring — from designing assessments to final hire decisions
• Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives
• Represent the engineering org in cross-functional roadmap planning and architecture decision reviews
• Foster a culture of technical excellence, psychological safety, and high-velocity delivery

TECHNOLOGY STACK (HANDS-ON PROFICIENCY REQUIRED)

Languages: Java (primary) · Go · Python · Node.js · PHP · Rust

Cloud: AWS · GCP · Azure (Multi-cloud exposure preferred)

Containers: Docker · Kubernetes · Helm · Service Mesh (Istio / Linkerd)

Databases: PostgreSQL · MySQL · MongoDB · Cassandra · Redis · Elasticsearch

Messaging: Apache Kafka · RabbitMQ · AWS SQS/SNS · Google Pub/Sub

Observability: Datadog · Prometheus · Grafana · OpenTelemetry · Jaeger · ELK Stack

CI/CD & IaC: GitHub Actions · Jenkins · ArgoCD · Terraform · Ansible

AI & GenAI: OpenAI / Claude APIs · LangChain · RAG Pipelines · GitHub Copilot · Cursor

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
• Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience

• 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact
• Proven track record of shipping and scaling production SaaS / Product systems at significant user load
• Exposure to and success within start-up, mid-size, and large-scale product organisations — the full spectrum
• Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals
• Demonstrated career stability — minimum 2 years average tenure per organisation
• The Ideal Candidate Exemplifies
• System-level thinking with an ability to hold context across code, architecture, product, and business
• An ownership mindset — no task is 'not my job'; outcomes and quality are personal commitments
• Strong written and verbal communication skills for asynchronous, cross-functional collaboration
• Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)
• Bias for automation, observability, and engineering efficiency at every level
• A mentor's instinct — genuine desire to grow others and raise the capability of the team around them

WHY THIS ROLE STANDS APART

✅ Transformational Scope

Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

✅ AI-Forward Engineering Culture

Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

✅ Established, Stable Platform

Join a company with 500–1,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

✅ Career-Defining Leadership

Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Job Title: Senior Linux Kernel Engineer

Experience: 5–10 Years

Location: Bangalore / Chennai

Domain: Enterprise Linux / Kernel Development

Job Summary

We are seeking a highly skilled Senior Linux Kernel Engineer with deep expertise in kernel development, debugging, and performance optimization. The role involves working on enterprise-grade Linux distributions, kernel lifecycle management, security patching, and low-level hardware integration.

Key Responsibilities

1. Kernel Lifecycle & Maintenance

• Lead kernel upgrade strategies (e.g., LTS migrations such as 5.15 → 6.x) while ensuring stability and compatibility.
• Perform patch porting across kernel versions, resolving API and dependency conflicts.
• Track and mitigate security vulnerabilities by monitoring CVEs and upstream sources (e.g., LKML).
• Backport critical fixes to production kernels without impacting system stability.

2. Debugging & System Stability

• Act as an escalation point for kernel panics and system crashes.
• Perform post-mortem analysis using kdump, crash, and gdb.
• Debug early boot issues (UEFI, initramfs, kernel initialization).
• Conduct performance analysis using eBPF, ftrace, and perf to optimize system behavior.

3. Driver Development & Hardware Integration

• Design, develop, and maintain device drivers (network, storage, GPU, or character devices).
• Work closely with hardware through DMA, interrupts (MSI-X), and register-level programming.
• Maintain out-of-tree drivers using DKMS or similar frameworks.
• Ensure compatibility of drivers across kernel updates.

Required Technical Skills

• Programming: Strong expertise in C (mandatory) and C++
• Kernel Internals: Deep understanding of:
• Virtual File System (VFS)
• Memory Management (MMU, Paging)
• Process Scheduler
• Linux Networking Stack
• Debugging Tools:
• kdump, crash, gdb
• kprobes, trace-cmd, ftrace
• perf, valgrind
• Hardware debugging tools (JTAG, Serial Console)
• Build Systems:
• Kbuild, Makefiles
• Kernel packaging (RPM/Debian)
• Security:
• Experience with CVE patching and backporting
• Knowledge of SELinux/AppArmor
• Kernel hardening (FIPS, KSPP)

Preferred Skills

• Experience contributing to open-source kernel projects
• Familiarity with Linux Kernel Mailing List (LKML) workflows
• Exposure to enterprise Linux distributions (RHEL, Ubuntu, SUSE)
• Experience with performance tuning and system optimization at scale

1. Core Programming (C Language)

• Must have strong hands-on experience in C programming
• Comfortable with pointers, memory management, and low-level concepts

2. Kernel Internals Expertise

• Should have worked in at least one subsystem:
• VFS / File Systems
• Memory Management
• Scheduler / Networking

3. Debugging & Crash Analysis

• Experience handling kernel panics
• Hands-on with vmcore analysis tools

4. Security & Patching

• Understanding of CVE fixes and backporting

5. Driver Development

• Experience in writing or maintaining device drivers

6. Performance & Advanced Debugging

• Exposure to eBPF, ftrace, perf

7. Hardware-Level Understanding

• Knowledge of DMA, interrupts, hardware interaction

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication skills
• Ability to work independently and in collaborative environments
• Quick learner with adaptability to new technologies

About Simprosys InfoMedia:

Simprosys is a diverse team of E-commerce enthusiasts with a simple yet powerful goal of empowering E-commerce merchants with easily adaptable product listings’ and Ad management solutions. 

Our crew consists of budding techies developers who build and maintain the technological interventions to automate our product listing and ad management solutions. Support executives who are digital marketers themselves. Passionate designers with exceptional UI designing, motion graphics, animation, and video editing skills. Our marketing team consists of versatile content creators and brand strategists. 

Be a part of our E-commerce enthusiasts crew.

Job Title: Sr. Python Developer

Location: Ahmedabad (Onsite)

Skill Set: Python, JavaScript, Python frameworks (Flask, Django, Django Rest Framework), AWS, Data Science, Machine Learning.

 Responsibilities:

1. Develop and maintain Python applications, using frameworks like Flask or Django to create and manage APIs and web services.
2. Integrate various data sources and databases, including SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) systems, into a unified solution.
3. Model data for reporting and analysis, leveraging libraries like NumPy, Pandas, and Matplotlib to provide insights and communicate results to stakeholders.
4. Utilize AWS services, such as DynamoDB and Lambda, to build and deploy efficient, cloud-based solutions.
5. Manage code versions with GIT, ensuring effective tracking and collaborative development practices.
6. Employ strong debugging and optimization skills to ensure high performance and resolve issues promptly.

Requirements:

1. Strong knowledge and hands-on experience with Python, including its standard libraries, toolkits, and APIs.
2. Experience with web frameworks like Flask or Django, and familiarity with REST framework principles for web services.
3. Proficiency in database structures, with practical experience in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases.
4. Experience with cloud platforms, especially AWS, and knowledge of services like DynamoDB and Lambda.
5. Skilled in Python libraries for data analysis, such as NumPy, Pandas, and Matplotlib, with an understanding of big data frameworks.
6. Excellent analytical and problem-solving skills, capable of debugging and resolving complex issues efficiently.
7. Strong grasp of data structures and algorithms, crucial for building efficient applications.
8. Thoroughly understand version control systems, particularly GIT, for effective code management and collaboration.

Have you streamed a program on Disney+, watched your favorite binge-worthy series on Peacock or cheered your favorite team on during the World Cup from one of the 20 top streaming platforms around the globe? If the answer is yes, you’ve already benefitted from Conviva technology, helping the world’s leading streaming publishers deliver exceptional streaming experiences and grow their businesses. 

Conviva is the only global streaming analytics platform for big data that collects, standardizes, and puts trillions of cross-screen, streaming data points in context, in real time. The Conviva platform provides comprehensive, continuous, census-level measurement through real-time, server side sessionization at unprecedented scale. If this sounds important, it is! We measure a global footprint of more than 500 million unique viewers in 180 countries watching 220 billion streams per year across 3 billion applications streaming on devices. With Conviva, customers get a unique level of actionability and scale from continuous streaming measurement insights and benchmarking across every stream, every screen, every second.

As Conviva is expanding, we are building products providing deep insights into end user experience for our customers.

Platform and TLB Team

The vision for the TLB team is to build data processing software that works on terabytes of streaming data in real time. Engineer the next-gen Spark-like system for in-memory computation of large time-series dataset’s – both Spark-like backend infra and library based programming model. Build horizontally and vertically scalable system that analyses trillions of events per day within sub second latencies. Utilize the latest and greatest of big data technologies to build solutions for use-cases across multiple verticals. Lead technology innovation and advancement that will have big business impact for years to come. Be part of a worldwide team building software using the latest technologies and the best of software development tools and processes.

What You’ll Do

This is an individual contributor position. Expectations will be on the below lines:

• Design, build and maintain the stream processing, and time-series analysis system which is at the heart of Conviva's products
• Responsible for the architecture of the Conviva platform
• Build features, enhancements, new services, and bug fixing in Scala and Java on a Jenkins-based pipeline to be deployed as Docker containers on Kubernetes
• Own the entire lifecycle of your microservice including early specs, design, technology choice, development, unit-testing, integration-testing, documentation, deployment, troubleshooting, enhancements etc.
• Lead a team to develop a feature or parts of the product
• Adhere to the Agile model of software development to plan, estimate, and ship per business priority

What you need to succeed

• 9+ years of work experience in software development of data processing products.
• Engineering degree in software or equivalent from a premier institute.
• Excellent knowledge of fundamentals of Computer Science like algorithms and data structures. Hands-on with functional programming and know-how of its concepts
• Excellent programming and debugging skills on the JVM. Proficient in writing code in Scala/Java/Rust/Haskell/Erlang that is reliable, maintainable, secure, and performant
• Experience with big data technologies like Spark, Flink, Kafka, Druid, HDFS, etc.
• Deep understanding of distributed systems concepts and scalability challenges including multi-threading, concurrency, sharding, partitioning, etc.
• Experience/knowledge of Akka/Lagom framework and/or stream processing technologies like RxJava or Project Reactor will be a big plus. Knowledge of design patterns like event-streaming, CQRS and DDD to build large microservice architectures will be a big plus
• Excellent communication skills. Willingness to work under pressure. Hunger to learn and succeed. Comfortable with ambiguity. Comfortable with complexity

Underpinning the Conviva platform is a rich history of innovation. More than 60 patents represent award-winning technologies and standards, including first-of-its kind-innovations like time-state analytics and AI-automated data modeling, that surfaces actionable insights. By understanding real-world human experiences and having the ability to act within seconds of observation, our customers can solve business-critical issues and focus on growing their businesses ahead of the competition. Examples of the brands Conviva has helped fuel streaming growth for include DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision, and Warner Bros Discovery.  

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets! 

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

General Accountabilities/Job Responsibilities

• Participation in the requirements analysis, design, development and testing of applications.
• The candidate is expected to write code himself/herself.
• The candidate is expected to write high level code, code review, unit testing and deployment.
• Practical application of design principles with a focus on the user experience, usability, template
• designs, cross browser issues and client server concepts.
• Contributes to the development of project estimates, scheduling, and deliverables.
• Works closely with QA team to determine testing requirements to ensure full coverage and best
• quality of product.
• There is also the opportunity to mentor and guide junior team members in excelling their jobs.

Job Specifications

• BE/B. Tech. Computer Science or MCA from a reputed University.
• 3 -12 Years of experience in software development, with emphasis on JAVA/J2EE Server side programming.
• Hands on experience in Core Java, Multithreading, RMI, Socket programing,
• JDBC, NIO, webservices and Design patterns.
• Should have Knowledge of distributed system, distributed caching, messaging frameworks,
• ESB etc.
• Knowledge of Linux operating system and PostgreSQL/MySQL/MongoDB/Cassandra database is essential.
• Additionally, knowledge of HBase, Hadoop and Hive are desirable.
• Familiarity with message queue systems and AMQP and Kafka is desirable.
• Should have experience as a participant in Agile methodologies.
• Should have excellent written and verbal communication skills and presentation skills.
• This is not a Fullstack requirement, we are purely looking out for Backend resources.