
Context :
This is a waste management vertical SaaS with leading solutions and acceptance from the market on the path to growth. However, the product architecture needs a redefinition because of impending growth. The product needs refactoring of bottleneck code pieces, introduction of flexibility through modularity, scalability, layers of application and infrastructure layer security, interfaces designs, large amounts of data management and synchronization of business-critical accounting data. All of these goals have to be achieved while the product remains in production and business grows.
What the Role Needs:
Review current architecture and anticipate engineering bottlenecks
• Identify subsystems and isolate them
• Design interfaces between subsystems, evaluate available tools for each of the subsystems and make choices
• Make choices of tools, libraries, frameworks and design patterns
• Set benchmarks and KPI metrics
• Mentor & coach team leads to ensure architectural blueprints are practiced.
Requirements :
• Extensive experience with AWS cloud infrastructure - EC2, S3, Route53, ELB, Auto-Scaling groups, VPC, AWS Lambda, SNS/SQS, DynamoDB
• Database design & management for data-heavy product/s - NoSQL & SQL DBs (MongoDB, PostgreSQL, MySQL)
• Extensive API design & patterns experience including micro services
architecture/communication - REST, Webhooks, API gateways, and GraphQL
• Prior experience in designing a multi-tenant architecture would be beneficial
• Experience with caching architectures and technologies - Redis, Memcached, or KeyDB
• Experience with caching, sessions, OWASP, state management design patterns, micro front ends, and frameworks (ReactJs/VueJS)
• Experience with designing & architecture of event driven services - Kafka, RabbitMQ, NATS.io, socket.io
• Experience in Docker, Kubernetes, or Cloud Native applications
• Have experience in one of the workflow orchestrations tools - Apache Airflow, Cadence by Uber, AWS Glue
• Solr or Elastic search experience
• Understanding and working with other senior team members to devise and execute DRP, data storage and backup strategies, incident reporting
• Prior experience of software architecture in real-time tracking like Uber
• Prior experience in notifications delivery tools - FCM
• Understanding of ADR and UM

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Good understanding of the underlying business and workings of cross functional teams for successful execution.
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Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
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Identify and use appropriate investigative and analytical technologies to interpret and verify results.
Apply and learn a wide variety of tools and languages to achieve results.
Use best practices to develop statistical and/ or machine learning techniques to build models thataddress business needs.
Collaborate with the team in order to improve the effectiveness of business decisions throughthe use of data and machine learning/predictive modeling.
Innovate on projects by using new modeling techniques or tools.
Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. C
ommunicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Who you need to be?
Typically has 2 - 6 years of relevant experience.
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value proposition - Catalyst IQ provide the potential to for someone to earn a months salary that a typical HR recruiter with 0-4 years exp makes in a full-time role, by just working part-time for us.
Connect with us to learn more.
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Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer experience
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