Senior Backend Software Engineer
Posted Updated
Summary
Senior backend engineer at Meltwater (media intelligence/social analytics) in Hyderabad: designs and builds scalable Python microservices, REST APIs, and event-driven data pipelines on AWS using PostgreSQL/MySQL, MongoDB, Redis, and Kafka, while driving architecture decisions and mentoring engineers.
What We’re Looking For:
Meltwater is a global leader in media intelligence and social analytics. Our mission is to help businesses make more informed decisions by providing them with actionable insights from the vast ocean of online data. With a diverse and talented team spread across the world, we are committed to driving innovation and pushing the boundaries of what's possible in our field.
Meltwater is looking for a Senior Backend Software Engineer, where you'll play a pivotal role in shaping our tech stack roadmap, leading architecture design, mentoring junior developers, and handling intricate backend task. With a keen focus on industry best practices, you'll ensure our solutions remain at the forefront of innovation.
In this role, you will contribute to designing, developing, and maintaining scalable applications that power Meltwater’s data and analytics platforms. You will work across frontend, backend, databases, and cloud infrastructure to deliver reliable, high-performing, and user-friendly solutions. The ideal candidate should have strong hands-on experience in ReactJS, backend development expertise in Python or Java, and solid database experience with PostgreSQL/MySQL and MongoDB. Experience with CI/CD pipelines, Docker, cloud platforms, and modern DevOps practices is highly preferred
What You'll Do:
- Design, develop, and maintain highly scalable backend services and APIs using Python.
- Build and optimize microservices that power core platform and product capabilities.
- Design and implement RESTful APIs and backend services to support customer-facing features and internal platforms.
- Develop and maintain event-driven systems using technologies such as Kafka or RabbitMQ.
- Build and maintain large-scale data processing pipelines and backend workflows.
- Design solutions for high availability, reliability, scalability, and observability.
- Work with databases such as PostgreSQL, MySQL, MongoDB, and Redis to support high-performance applications.
- Deploy, operate, and optimize services in cloud environments such as AWS.
- Collaborate with Product Managers, Engineers, Data Scientists, and other stakeholders to deliver high-quality solutions.
- Drive architectural decisions and contribute to the evolution of backend platforms and engineering standards.
- Mentor engineers through code reviews, design reviews, and technical guidance.
- Troubleshoot complex production issues and continuously improve system performance, reliability, and operational excellence.
- Write clean, maintainable, and testable code while following engineering best practices.
What You'll Bring:
- 7+ years of professional experience in backend software development.
- Expert-level proficiency in Python and a strong foundation in software engineering principles, design patterns, and best practices.
- Extensive experience designing, building, and operating large-scale backend systems in production environments.
- Strong experience with RESTful API design, microservices architecture, and distributed systems.
- Deep understanding of scalability, performance optimization, fault tolerance, and reliability engineering.
- Experience with messaging and streaming platforms such as Kafka or RabbitMQ.
- Strong experience with databases such as PostgreSQL, MySQL, MongoDB, and Redis.
- Experience building and maintaining large-scale data processing pipelines and backend workflows.
- Strong experience with AWS and containerized environments using Docker and Kubernetes.
- Experience with CI/CD pipelines, automated testing, monitoring, and observability tools.
- Strong understanding of modern software development practices and cloud-native architectures.
- Strong debugging, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Nice to Have
- Experience working with Machine Learning systems and integrating ML models into production applications.
- Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies.
- Exposure to MLOps practices, model deployment, monitoring, and lifecycle management.
- Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP) systems.
- Experience with large-scale data processing frameworks such as Spark, Airflow, Ray, or similar technologies.
- Familiarity with vector databases, semantic search systems, and AI-powered applications.
- Experience working in media intelligence, analytics, SaaS, or data platform environments.
- Contributions to open-source projects, technical blogs, or engineering communities.
What We Offer:
- Enjoy flexible paid time off options for enhanced work-life balance.
- Comprehensive health insurance tailored for you.
- Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
- Complimentary Calm App subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Benefit from our family leave program, which grows with your tenure at Meltwater.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career
Where You'll Work: Hyderabad
When You'll Join: As per the Offer Letter.
Our Story
At Meltwater, we believe that when you have the right people in the right environment, great things happen.
Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career.
We are Meltwater. We love working here, and we think you will too.
"Inspired by innovation, powered by people."
Equal Employment Opportunity Statement
Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements,and individual qualifications, without regard to race, colour, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world
Skills
- AI
- Airflow
- Analytics
- API
- Api Design
- AWS
- CI/CD
- Cloud
- Cloud Native
- Design Patterns
- DevOps
- Distributed Systems
- Docker
- Event Driven Architecture
- Generative AI
- Java
- Kafka
- Kubernetes
- LLM
- Machine Learning
- Microservices
- MLOps
- Model Deployment
- MongoDB
- MySQL
- NLP
- Observability
- PostgreSQL
- Python
- PyTorch
- RabbitMQ
- RAG
- React
- Redis
- REST
- SaaS
- scikit-learn
- Semantic Search
- Spark
- TensorFlow
- Test Automation
- Vector Databases
- XGBoost