Senior Software Engineer

Hiring For SDE II - Python (Remote)

The Impact you will create:

• Build campaign generation services which can send app notifications at a speed of 10 million a minute

• Dashboards to show Real time key performance indicators to clients

• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds

• Building highly available & horizontally scalable platform services for ever growing data

• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability

• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed

• You will build backend services and APIs to create scalable engineering systems.

• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.

• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.

• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.

• Identify and improvise areas of improvement through data insights and research.

Primary Responsibilities

• End-to-end ownership of product development, from design, through implementation, testing, deployment, and maintenance

• Translating high-level requirements and end-user use cases into design proposals, decomposing complex features into smaller, short-term deliverable tasks

• Maintaining constant focus on scalability, performance and robustness of architecture

• Designing and implementing logging, monitoring and alerting systems for existing and new infrastructure

• Documenting API's and architecture design

• Mentor and guide juniors on their path to become solid developers

  
  
  

What we look for?

• 4+ of industry experience in technical leadership roles

• Solid knowledge of Python, SQL, NoSQL, shell scripting and Linux operating environment

• End-to-end experience in design and development of highly scalable enterprise and cloud data products

• Ability to challenge and redefine existing architecture to create robust, scalable and reliable products

• Hands-on experience with design and troubleshooting of scalable web services, queue based systems, distributed databases and streaming services

• Experience with modern DevOps technologies such as kOps, Kubernetes and Docker, CI/CD, monitoring and autoscaling
  
  
  

Job Responsibilities:

● Design, test, and build scalable backend python services

● Closely collaborate with marketing and product teams to build innovative, robust, and easy-to-use features that serve.

● Developing high-quality code based on detailed designs that cater to the product requirements.

● Responsible for troubleshooting, testing, and maintaining the core product software and databases to ensure strong optimization and functionality

Required Skills:

● Degree in Computer Science, Software Engineering or equivalent.

● Minimum 3+ years experience in software development.

● Expertise in Python 3.7, Django 2.2+, and REST APIs.

● Willingness to learn and ability to flourish in a dynamic, high-growth, entrepreneurial environment

● Hands-on, self-starter, capable of working independently

● True love for technology and what you do

● Maniacal attention to detail

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

• 6+ years of experience with expertise in Django CMS, Python, REST framework, AI framework
• MySQL Db usage, SQL queries
• Experience in using scraping tools.
• Microservices
• Docker and Kubernetes hands-on experience
• AWS Redis cache integration
• Deployment on AWS cloud, auto-scale
• Work will be rotational Shifts/ UK Shift
• Must be flexible to work on weekends/stretch for some hours

We are seeking a lead Python Developer to lead the backend efforts and, in the process design, develop, and deploy its customer centric applications.

The person will have the opportunity to design and build an early stage, rapidly evolving platform from scratch and carry out these primary responsibilities -

Optimize components for maximum performance across multiple devices and browsers

Write performant REST APIs for both internal and external consumption

Build micro services and their deployment process

Work with problems of scale, leveraging technologies that are distributed in nature.

Perform code reviews

Required qualifications and must have skills

Excellent analytical and problem-solving skills

Proven-deep-expertise with Python programming (4+ years of hands-on experience in Python and backend development)

Building performant and scalable applications from scratch

Experience in working with frameworks like Django, Flask, etc.

Experience with building APIs and services using REST, SOAP, etc.

Experience with any RDBMS and strong SQL knowledge

Comfortable with Unix / Linux command line

Object-oriented concepts & design patterns

Sytem and database desinging skills

Nice to have Skills

Knowledge of other programming languages beyond Python

Familiarity with managing infrastructure on AWS/GCloud

Experience with working with/building data analytics pipleline

Familiarity with NoSQL databases

Good understanding of Docker and container platforms like Mesos and Kubernetes

Security-first architecture approach

Application benchmarking and optimization

Interpersonal Attributes

You are driven by the impact your work creates

You can answer the why behind any technological choice you make

You can work independently as well as part of a team