Lead Platform Engineer

Tech Economy; New Delhi; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Tech Economy is seeking a Lead, Platform Engineering in New Delhi, India. In this role, you will design and build cloud-based distributed systems to solve complex challenges for major companies. Candidates should have over 6 years of experience, proficient in cloud engineering, DevOps, and API design.

This hybrid role offers a dynamic work environment where you will collaborate with cross-functional teams to enhance platform capabilities, utilizing technologies like Kubernetes and Terraform.

Qualifications

• 6+ years of experience and 3+ years at Senior or Staff level.
• Proven experience as a cloud engineer and software engineer.
• Strong computer science fundamentals.

Responsibilities

• Design and build cloud-based distributed systems.
• Participate in code reviews and establish coding standards.
• Develop and maintain APIs and microservices.
• Implement security measures to protect sensitive data.
• Monitor and troubleshoot application performance.

Skills

Cloud engineering

DevOps expertise

API design

Kubernetes

Terraform

Python

CI/CD pipelines

Data architecture

Education

Master’s degree in Computer Science or related field

Tools

Terraform

Kubernetes

Git

Job description

What You’ll Do

As a Lead, Platform Engineering, you will design and build cloud-based distributed systems that solve complex business challenges for some of the world’s largest companies. You will draw on your deep software engineering, cloud engineering, and DevOps expertise to design and build technology stacks and platform components that enable cross-functional AI Engineering teams to create robust, observable, and scalable solutions.

• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience
• Influence, educate and directly support the platform engineering capabilities of our clients
• Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform

Required

• 6+ years minimum experience and 3+ years at Senior or Staff level, or equivalent
• Master’s degree in Computer Science, Engineering, or a related technical field
• Proven experience as a cloud engineer and software engineer within either product engineering or professional services organizations

Technical Skills and Knowledge

• Experience designing and delivering cloud-based distributed solutions – GCP, AWS, or Azure certifications are a plus
• Experience building infrastructure as code with tools such as Terraform (preferred), CloudFormation, Pulumi, AWS CDK, CDKTF, etc.
• Experience building backend APIs, services and/or integrations with Python
• Deep familiarity with nuances of software development lifecycle
• One or more configuration management tools: Ansible, Salt, Puppet, or Chef
• One or more monitoring and analytics platforms: Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga
• CI/CD deployment pipelines (e.g., GitHub Actions, Jenkins, Travis CI, GitLab CI, CircleCI)
• Practitioner experience with Kubernetes through services like GKE, EKS or AKS – a benefit
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker, Kubernetes or Terraform
• Experience with workflow orchestration such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or any other
• Use Git as your main tool for versioning and collaborating
• Exposure to LLMs, Prompt engineering, Langchain – a plus
• Strong knowledge in designing API interfaces
• Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Knowledge of data architecture, database schema design, database scalability
• Knowledge of agile development methodologies and principles
• Travel frequency and destinations will vary based on project needs
• Hybrid role

Interpersonal Skills

• Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
• Curiosity, proactivity and critical thinking
• Ability to collaborate with people at all levels and with multi-office/region teams