Careers | Job Description
Senior Software Development Engineer – Data Engineering focus
4+ Years | 1 Opening | Chennai / Bangalore.
Who we are?
Kaleidofin is a neobank for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial advice.
In a very short time span, global investors such as Oiko Credit, Flourish, Omidyar Network and Blume Ventures have supported Kaleidofin’s well-thought-out business model with $8 million in seed and Series A funding and now Series B where along with existing investors, new marquee impact investors like Michael Susan Dell Foundation have participated
The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019, was recognized as India’s Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI) and was selected to present at United Nations General Assembly Special Task Force Event. ‘Kaleidofin Private Limited’ has been selected under the following Category ‘Best Use of Emerging Technology for business growth [Fintech/Neo Bank]’ as Winner for the Initiative ‘Ki-score’, and NASSCOM Emerge 50 2021 award
With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading Neobank for the informal sector using the power of technology and all financial instruments – Savings, Investment, Credit and Insurance
To know more about Kaleidofin, do visit our site www.kaleidofin.com
What You’ll Do?
We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:
- Build large scale, highly available, fault tolerant data analytics platforms & data pipelines that horizontally scale and can support advanced analytics including modelling and machine learning
- Lead design and development of products working closely with business team
- Independently own components and co-own applications with a small team of developers
- Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance
- Establish strong engineering best practices and champion their adoption
Who You Need To Be?
- 4+ years’ experience in software product development and delivery
- Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes)
- All experience should be from good product development or e-commerce background
- Must have shown good stability in all your previous associations.
- Strong grasp of CS fundamentals like OS, algorithms and excellent problem-solving abilities
- Prior experience in building and supporting highly scalable & resilient databases, warehouses, data pipelines etc and co-ordination with data scientists in consumption for analytics
Skill Set
- Have strong backend knowledge and cloud development exposure
- Proficiency in SQL, Python, Java, Spring boot, Hibernate, REST API development
- Worked with at least 1 RDBMS (Mysql preferred), 1 NoSql DB and 1 scripting language (Python preferred).
- Hive, Hadoop, Spark, Storm, MapReduce, Bigtable, Cassandra, Scala etc are technologies you have either used or are very comfortable to pick up
- Very comfortable with data lakes, warehouses and ETL/ELT paradigms
- Basic knowledge of statistical analysis, mathematical modelling and machine learning
- Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in an agile workplace
- Develop high quality code with strong unit/integration tests. Comfort with test-driven development is a plus.
- Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few
- Knowledge of AWS data pipeline stack (Athena, S3, Glue data catalog etc) will be a good plus
If you fit the bill, write to me at [email protected]