Software Development Engineer, Backend

What you will be doing

• Build and ship features in our Node.js (and now migrating to TypeScript) codebase that directly impact user experience and help move the top and bottom line of the business.
• Collaborate closely with our product, design and data team to build innovative features to deliver a world class product to our customers. At STAGE, product managers don’t “tell” what to build. In fact, we all collaborate on how to solve a problem for our customers and the business. Engineering plays a big part in it.
• Design scalable platforms that empower our product and marketing teams to rapidly experiment.
• Own the quality of our products by writing automated tests, reviewing code, making systems observable and resilient to failures.
• Drive code quality and pay down architectural debt by continuous analysis of our codebases and systems, and continuous refactoring.
• Architect our systems for faster iterations, releasability, scalability and high availability using practices like Domain Driven Design, Event Driven Architecture, Cloud Native Architecture and Observability.
• Set the engineering culture with the rest of the team by defining how we should work as a team, set standards for quality, and improve the speed of engineering execution.

The role could be ideal for you if you

• Experience of 4-6 years of working in backend engineering with at least 2 years of production experience in TypeScript, Express.js (or another popular framework like Nest.js) and MongoDB (or any popular database like MySQL, PostgreSQL, DynamoDB, etc.).
• Well versed with one or more architectures and design patterns such as MVC, Domain Driven Design, CQRS, Event Driven Architecture, Cloud Native Architecture, etc.
• Experienced in writing automated tests (especially integration tests) and Continuous Integration. At STAGE, engineers own quality and hence, writing automated tests is crucial to the role.
• Experience with managing production infrastructure using technologies like public cloud providers (AWS, GCP, Azure, etc.). Bonus: if you have experience in using Kubernetes.
• Experience in observability techniques like code instrumentation for metrics, tracing and logging.
• Care deeply about code quality, code reviews, software architecture (think about Object Oriented Programming, Clean Code, etc.), scalability and reliability. Bonus: if you have experience in this from your past roles.
• Understand the importance of shipping fast in a startup environment and constantly try to find ingenious ways to achieve the same.
• Collaborate well with everyone on the team. We communicate a lot and don’t hesitate to get quick feedback from other members on the team sooner than later.
• Can take ownership of goals and deliver them with high accountability.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Description

1. 5- 8 yrs IT industry experience preferably Banking domain
2. Strong Python Skills and good understanding of Java and Microservices
3. Should have handled banking customers and exposure to Production support processes
4. Good in database and Pl/SQL – Ability to write SQL as and when needed  
5. Good attitude and communication
6. WFH not allowed – Working from Bank premises as per bank calendar in Saifabad or Hitech City – Saifabad Flexibility must

Job Brief:

- Proficient in object-oriented programming and distributed systems

- Some experience with Web Programming and TypeScript

- Ability to speak and write in English fluently

- A proactive approach to spotting problems, areas for improvement, and performance bottlenecks

- Experience with TypeScript and NodeJS

- Experience with the language server protocol

- Experience with JavaScript

- Experience with the Pub-Sub pattern

At BACQ, our mission is to build financial services that are simple, accessible and affordable.

BACQ is founded by Sachin Bansal & Ankit Agarwal to build consumer-centric and technology-driven businesses in the BFSI (Banking, Financial Services & Insurance) space.

• Work on the development backend systems for our first product
• Build reliable, secure and performant backend systems
• Drive test coverage and continuous delivery automation within the team
• Mentor and provide feedback to teammates

• 2+ years of software development experience
• Strong computer science fundamentals
• Good knowledge of Java ecosystem
• Can write code that is readable, maintainable and performant
• Know the importance of tests and how to approach writing different types of tests
• Good understanding of relational databases, transactions, entity-relationship modeling
• Comfortable writing multi-threaded programs

• Understanding of domain-driven design concepts like ubiquitous language, bounded contexts, aggregates and domain events
• Know how to use test driven development as a design tool 
• Good intuition for the principles underlying object-orientation, particularly encapsulation
• Understand the importance of immutability and of reducing the state-space of objects
• Seek to identify key underlying ideas and use those as building blocks before reaching for shiny new tools
• Have read some of our https://docs.google.com/document/d/18eWIOPYs0Hi8Kr4lXTtP_XMJp_4BrBzOd9Eui8v_l-c/edit?usp=sharing">favourite books