As a Lead Software Engineer , you will work closely with the co-founder and CPO and

collaborate with a passionate team of data scientists, engineers and developers. You will be

exposed to advanced technologies and will have the opportunity to learn.

You will design and implement highly distributed, resilient, and cost-effective systems in the

cloud. You’ll take the reins in architecting modern backend infrastructure, with a strong focus

on horizontal scalability, fault tolerance, and operational efficiency using AWS-native tools

and infrastructure as code.

This is more than just a coding role — we want someone who understands how to build for

failure, how to automate everything, and how to ensure systems remain fast, reliable, and

cost-effective at scale.

You'll drive best practices in DevOps, contribute to continuous delivery strategies, and ensure

our systems can scale without sacrificing stability or budget. You’ll also collaborate with data

science teams to help operationalize ML models using AWS SageMaker and production-ready

MLOps workflows.

You will:

● Architect, build, and maintain distributed backend services with an emphasis on high

availability, auto-scaling, and graceful degradation.

● Design systems that are resilient to failure, support multi-tenant environments,

and remain observable at every layer.

● Lead the buildout and optimization of CI/CD pipelines to automate testing,

deployments, and infrastructure provisioning.

● Collaborate with data scientists and ML engineers to deploy, monitor, and version

models using SageMaker or similar platforms.

● Enforce best practices for monitoring, alerting, logging, and security in production

environments.

● Make architectural decisions that balance performance, scalability, maintainability,

and cost-efficiency.

● Mentor developers and collaborate cross-functionally to ensure technical alignment

and velocity.

● Support efforts around web scraping, data extraction pipelines, and external data

ingestion.

● Advocate for and implement “infrastructure as code” using Terraform or similar

tools.

● Develop automated unit tests and work closely with QA to ensure integration and user

acceptance testing are done efficiently.

● Ensure best practices in security, compliance, and data protection are followed across

all infrastructure components.

● Produce technical documentation.

What Do You Bring

● A degree in computer science or software engineering or equivalent.

● 5+ years of professional software development, with at least 2 in a senior or lead

capacity.

● Demonstrated experience in building large-scale, distributed systems in a

cloud-native environment.

● Proven ability to design services that scale horizontally, recover from failures

gracefully, and support high concurrency.

● Hands-on experience with DevOps tooling, cloud automation, and modern

deployment practices.

● Ability to optimize for cloud cost-efficiency using architecture best practices like

right-sizing, spot instances, caching strategies, and tiered storage.

An experience with the following is preferred:

● AWS Services: Lambda, EC2, DynamoDB, RDS, SageMaker, ECS/Fargate,

CloudWatch, CodePipeline, EventBridge, Secrets Manager, SQS, SNS, GuardDuty.

● IaC Tools: Terraform (preferred), CloudFormation.

● CI/CD: Building and maintaining pipelines using GitHub Actions, AWS CodePipeline, or

similar.

● Security & Governance: IAM, VPC design, Secrets Management, GuardDuty,

least-privilege policies.

● Monitoring & Observability: CloudWatch, log aggregation, distributed tracing,

custom metrics.

● Scrapy or other web scraping frameworks.

● Designing for multi-tenant SaaS platforms.