Backend Engineer

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Strong AI & Full-Stack Tech Lead

Mandatory (Experience 1): Must have 5+ years of experience in full-stack development, including Python for backend development and React/JavaScript for frontend, along with API/microservice integration.

Mandatory (Experience 2): Must have 2+ years of experience in leading technical teams, coordinating engineers, and acting as a system integrator across distributed teams.

Mandatory (Experience 3): Must have 1+ year of hands-on experience in AI projects, including LLMs, Transformers, LangChain, or OpenAI/Azure AI frameworks.

Mandatory (Tech Skills 1): Must have experience in designing and implementing AI workflows, including RAG pipelines, vector databases, and prompt orchestration.

Mandatory (Tech Skills 2): Must ensure backend and AI system scalability, reliability, observability, and security best practices.

Mandatory (Company): Must have experience working in B2B SaaS companies delivering AI, automation, or enterprise productivity solutions

Tech Skills (Familiarity): Should be familiar with integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure) and enterprise SaaS environmentsx

Mandatory (Note): Both founders are based out of Australia, design (2) and developer (4) team in India. Indian shift timings.

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
  
  
  

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• 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 looking for an experienced Backend Engineer who can help make our desktop app even more spectacular for the highest performing professionals globally. She / he should be versatile and should have a good base with Golang, NodeJs and Python

About Track

The calendar is a tool that can assist you to achieve your highest human potential. Being productive with your time and collaborating efficiently with others is key to it. And Track (https://thetrackapp.com) is the fastest calendar experience ever. We've redesigned the calendar from the ground up to be fast, simple, effortless and also fun.

The Team

We are a small, global and efficient team and speed is part of everything we build and do

We are backed by amazing investors from India and US who have cofounded startups which had massive exits and the investors are currently on boards of Unicorn startups.

The Founder has over 12 years of experience in technology, studied and worked in the US for 8 years, and has cofounded a startup before.

Expected Skills :- 

Primary expertise: Golang, NodeJs, Python 

• Our backend was written in Nodejs and some parts converted to Golang. We want to switch completely
• Knowing Golang well is important 
• You should know python / Django at a reasonable level
• Ability to work with GCP and AWS environments
  Worked with Amazon services like SNS, SQS and Google services like Firebase FCM
• Ability to execute rapidly