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Weekday (YC W21)

Engineering Lead

Weekday (YC W21)

. Lead and mentor software engineers, establish engineering standards, conduct code reviews, and promote best practices.

Posted 10/24/2026full-timeBengaluru • IndiaSenior💰 ₹4,000,000 - ₹4,500,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading software engineering teams, driving product development, and implementing scalable backend applications using Python and AWS. Proficient in establishing engineering standards, optimizing CI/CD processes, and managing cloud-based infrastructure.

Highest-signal resume keywords
Python DevelopmentAWS ServicesTerraformFastAPIPostgreSQL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Backend Application DevelopmentAPI DesignData ProcessingETL/ELT PipelinesCloud ArchitectureInfrastructure AutomationScalable Software DesignContainer OrchestrationAgile MethodologiesTechnical Leadership
Soft Skills
Analytical SkillsProblem-SolvingStakeholder ManagementCommunication SkillsMentoring
Tools & Technologies
DockerKubernetesApache AirflowApache SparkGitHub ActionsJenkinsAmazon RedshiftMongoDBAWS LambdaEventBridge
Industry Keywords
Software EngineeringCloud ComputingData EngineeringContinuous ImprovementAgile Delivery

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSCloudDistributed SystemsDockerETLJavaScriptJenkinsKubernetesMongoDBNode.jsNoSQLPostgresPythonReactSparkTerraformTypeScript

About the role

Key responsibilities & impact
  • Lead and mentor software engineers, establish engineering standards, conduct code reviews, and promote best practices.
  • Drive end-to-end product development from requirements gathering and architecture design through implementation, testing, deployment, and continuous improvement.
  • Design and develop scalable backend applications, APIs, and services using Python, FastAPI, and related technologies.
  • Build, deploy, and manage cloud-based applications using AWS services.
  • Implement and maintain infrastructure automation using Terraform.
  • Design, optimise, and maintain PostgreSQL and other relational or NoSQL database solutions.
  • Oversee ETL/ELT pipelines, data workflows, and large-scale data processing using Apache Airflow and Apache Spark.
  • Use Docker and Kubernetes to build, package, deploy, and manage applications.
  • Establish and improve CI/CD pipelines using GitHub Actions, Jenkins, and related tools.
  • Make architectural decisions, identify technical risks, and resolve complex engineering challenges.
  • Lead Agile or Kanban delivery, manage priorities, and ensure predictable development milestones.
  • Collaborate with product managers, business teams, and stakeholders to align technical execution with product goals.

Requirements

What you’ll need
  • 10–15 years of overall experience in software engineering, with at least 2–3 years in a technical leadership role.
  • Strong hands-on expertise in Python development, AWS services, Terraform, FastAPI, PostgreSQL, and Docker.
  • Proven experience designing and delivering scalable, production-grade software products.
  • Experience leading engineering teams, mentoring developers, and driving code quality and technical excellence.
  • Good understanding of cloud architecture, API design, databases, data processing, and deployment automation.
  • Experience working in Agile or Kanban environments.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • A product-oriented mindset with the ability to balance technical quality, delivery timelines, and business objectives.
  • Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.
  • JavaScript and TypeScript; Node.js and React.js; modern software architecture and distributed systems; AWS Lambda, API Gateway, ECS/EKS, S3, Glue, EMR, SNS, SQS, and EventBridge; Apache Airflow and Apache Spark; ETL/ELT pipelines and data engineering; Amazon Redshift and MongoDB; Kubernetes and container orchestration; GitHub, GitHub Actions, Jenkins, and CI/CD automation are good-to-have skills.