Manager, Cloud Infrastructure Software Engineering

We Looking for an Engineering Manager to lead a high-impact engineering team. You ll be responsible for people management, technical direction, and delivery excellence. This role is ideal for someone who still enjoys being hands-on with code but is equally excited about mentoring engineers and driving outcomes.

What youll do

• Lead and mentor a team of software engineers (1:1s, feedback, growth plans).
• Own end-to-end delivery of features and services - from planning to production.
• Drive technical design and architecture decisions for your team.
• Review code and ensure engineering best practices, performance, and reliability.
• Collaborate with Product to define scope, roadmap, and priorities.
• Run Agile ceremonies: sprint planning, standups, retros, etc.
• Identify and remove delivery blockers; manage risks and communicate clearly with stakeholders.
• Help shape engineering culture, processes, and standards.

Skills

• Expertise in Go for high-performance microservices, including instrumentation, concurrency, and performance tuning.
• Expertise in system design concepts both High level and Low level design.
• Deep understanding of extreme-scale, decoupled Cellular Architecture for exabyte-scale, sub-second latency data ingestion and stream processing.
• Operational experience with Kafka.
• Architectural and security depth across multi-cloud: AWS, GCP, Azure, and OCI.
• Expert-level Terraform for cloud management and codifying observability assets. Familiarity with Atlantis is valued.
• Familiarity with cloud networking (load balancers, CDNs) and security mechanisms.
• Expert technical knowledge of Kubernetes and Docker for cloud-native microservices and integration management.
• Experience designing robust CI/CD pipelines, proficient with Jenkins and ArgoCD-like tools.
• Strategic oversight of Role-Based Access Control (RBAC), Custom Authorization Strategies, Authentication Domains, and domain capture for secure user provisioning
  

This role requires

• 10-12 years of total software development experience.
• At least 3-5 years in a Tech Lead / Lead Engineer / Engineering Manager role.

• Strong hands-on background in Go lang, Node.js/TypeScript, Python, Kafka etc.].

• Solid understanding of system design, microservices - Kubernetes, Dockers etc.
• Experience with cloud platforms (AWS / GCP / Azure) and CI/CD pipelines.
• Comfortable working with distributed teams across time zones.
• Strong communication, ownership, and problem-solving skills.

Bonus points if you have

• AI and Agentic Workflows Understanding
• Model Context Protocol (MCP): Architectural knowledge of this open standard for LLM-tool/data interaction.
• Practical experience utilizing AI agents and LLMs (Claude, GitHub Copilot/Co-pilot, ChatGPT) for automated analysis, predictive insights, and remediation.