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With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.

As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.

You Are A Part Of:

DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.

Job Responsibilities:

Responsibilities include, but are not limited to:

• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.

• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.

• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.

• May design and develop automated test suites.

• May maintain lab equipment.

Required Skills and/or Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.

• 5-10 years related industry experience required.

• 5+ years software development in C or C++ is required.

• 3-5 years’ experience working in a Linux environment is required.

• Experience in writing scripts: Perl, shell, bash, and/or other scripting tools is required.

• Experience with debugging tools such as GDB is required.

• Experience with source control and shared build environments is required.

Role: Sr. Azure Data Engineer

Experience: 8–10 Years

Work Timings: 1:30 PM – 10:30 PM IST

Location: Bellandur Bengaluru (Work from Office)

Company: Chevron

Employment Type: 6- 12 months Contract

Role Overview

We are seeking an experienced Senior Data Engineer to design and deliver scalable cloud data solutions on Azure. The ideal candidate will have strong expertise in Databricks, PySpark, and modern data architectures, with exposure to energy domain standards like OSDU.

Key Responsibilities

• Architect and design robust Azure-based data solutions using Databricks, ADLS, and PaaS services
• Define and implement scalable data Lakehouse architectures aligned with OSDU standards
• Build and manage end-to-end data pipelines for batch and real-time processing using PySpark
• Establish data governance frameworks including metadata, lineage, security, and access control
• Implement DevOps best practices (CI/CD, Azure Pipelines, GitHub, automated deployments)
• Collaborate with stakeholders to translate business needs into technical solutions
• Develop and maintain architecture documentation, solution patterns, and standards
• Provide technical leadership and mentorship to engineering teams
• Optimize solutions for performance, cost, reliability, and security
• Ensure alignment with enterprise architecture and compliance standards
• Drive adoption of modular and reusable cloud data components

Required Skills & Qualifications

Core Technical Skills

• Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog
• Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse Analytics
• Strong experience in Python-based data engineering
• Data pipeline development (batch + real-time)

Architecture & Advanced Skills

• Data Lakehouse architecture and distributed systems
• Microservices, APIs, and integration frameworks
• OSDU (Open Subsurface Data Universe) or similar energy data models

DevOps & Tools

• CI/CD tools: Azure Pipelines, GitHub Actions
• Infrastructure as Code: Terraform or similar

Other Skills

• Data governance, security, compliance, and cost optimization
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management

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

We're looking for a Senior Python Developer with experience to join our team. You will lead and contribute to Python-based software projects as a Senior Python Developer, ensuring code quality and efficiency.

Senior Python Developer Job Responsibilities

• Design and Development: Senior Python Developers are in charge of creating Python-based applications and systems. Their code is the foundation of all software projects, ensuring functionality and performance.
• Leadership & Mentorship: Senior Developers frequently take on leadership positions, guiding and mentoring junior developers. They give technical skills and ensure the team adheres to best practices.
• Collaboration: Working collaboratively with cross-functional groups is an important element of this role. They aid in the definition of project demands and specifications, ensuring that software meets business objectives.
• Code Quality Assurance: A Senior Python Developer's role includes code reviews. They ensure code quality, suggest areas for development, and ensure best practices are followed.
• Troubleshooting and Debugging: Senior Python Developers are in charge of finding and resolving code bugs. Their strong problem-solving abilities are put to use as they troubleshoot and debug software to ensure its flawless operation.
• Staying Informed: It is critical to stay current with the newest trends and standards in Python development. Senior Developers ought to be knowledgeable about new technologies and tools.
• Performance Optimisation: They are in charge of optimization and testing to ensure that software is functional and operates smoothly.
• Documentation: Proper code and technical specifications documentation is required to ensure that the development process is open and readily available to the team.

Senior Python Developer Requirements and Skills

• Educational Background: A bachelor's or master's degree in computer science or a related field is a good starting point for this position.
• Experience: 6+yr Proven experience as a Python Developer is required. A strong project portfolio reveals expertise and capability.
• Python Proficiency: A strong understanding of Python and its associated libraries is required. It is critical to have a thorough understanding of Python's capabilities and limitations.
• Web Frameworks: Knowledge of web frameworks such as Django or Flask is advantageous because it speeds up web application development.
• Database Knowledge: Understanding of relational and non-relational databases is frequently required. Understanding how to work with databases is essential for developing reliable software.
• Front-End Skills: Being familiar with front-end technologies such as HTML, CSS, and JavaScript can be a valuable addition to the skill set of a Senior Python Developer, particularly when working on web applications.
• Version Control: Working knowledge of source control systems such as Git is frequently required, as it aids in code integrity and collaboration.
• Problem-Solving Skills: Strong skills in problem-solving and attention to detail are required. Senior Python developers must be able to effectively identify and resolve issues.
• Communication and Collaboration: Effective communication and collaboration with team members and stakeholders are critical to the success of projects.
• Leadership Experience: Prior leadership or mentorship experience is a significant asset. The ability to mentor and lead junior developers is frequently required.

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills

• Write lots of bug-free, efficient, scalable and reusable code.
• Write unit tests and take responsibility for the quality of your own code.
• Coach, encourage and mentor your fellow software developers to do the same.
• Consult with product owners to define, scope and plan new features.
• Test, evaluate and recommend technologies to improve the overall product.
• Be a key participant in the Agile process.
• Produce excellent documentation.
• Undertake and implement processes for smoother and efficient deployment of code base
• Maintain code base as it grows bigger and scales

What we value

• 2-3 Years of experience building and shipping API’s using python based frameworks
• Proficiency with NoSql Databases (Elastic, Mongo) is a must
• Experience in working with Amazon Cloud Services like SNS, SQS, VPC, etc. is preferred
• Experience with databases migration and system re-architecture is valued
• Ability to write modular, reusable, and clean code
• Comfortable with ticket management and documentation

Minimum 3+ Years of hands-on experience in developing Python Applications. 
Excellent knowledge of Python and experience in or in-depth understanding of core Python 
Knowledge in Lists, Tuples, and Dictionaries
Excellent knowledge of Python Constructor- Parameterized and Non-Parameterized
Must have experience in core python concepts about data structure, OOPS concepts, XML parsing, XML to JSON, optimizations

Developers should have developed Web Based applications., back end, SQL
Agile and scrum methodology

Should not be test automation, Application development frame work

Excellent Communication Skill

Good to Have 

Django/ Flask 
Strong Hands-on experience in HTML, CSS, DTL(Django Template Language), SASS.
knowledge of SQL