Salary
$16k – $32k per year
Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time

Removed from the employer's board on Nov 5, 2026. First seen by Alion on Nov 2, 2026. Weekday scores B on the Alion truth index.

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Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.
Backed by Y Combinator

This role is for one of Weekday’s clients

Salary range: Rs 1500000 - Rs 3000000 (ie INR 15 - 30 LPA)

Min Experience: 7+ years

Location: Bengaluru, Karnataka, India

JobType: full-time

We are looking for an experienced Lead DevOps Engineer with strong expertise in cloud infrastructure, automation, CI/CD, containerization, and Site Reliability Engineering (SRE). The ideal candidate will have deep, hands-on experience designing and managing large-scale cloud environments, building robust deployment pipelines, strengthening security practices, and ensuring the reliability and scalability of production systems.

The candidate should demonstrate strong scripting capabilities, infrastructure-as-code expertise, and the ability to lead technical initiatives while mentoring engineers and collaborating across teams.

Requirements

Key Responsibilities

  • Design, implement, and manage scalable, secure, and highly available cloud infrastructure across AWS and other cloud platforms.
  • Develop automation scripts using Python and/or Bash to streamline infrastructure operations and deployment workflows.
  • Build and maintain Infrastructure as Code (IaC) solutions using Terraform and/or Ansible.
  • Design, implement, and govern Jenkins CI/CD pipelines, ensuring efficient build, testing, integration, and deployment processes.
  • Manage production environments using Docker, Kubernetes, and OpenShift.
  • Establish and improve observability frameworks, monitoring systems, and SRE practices to ensure platform reliability and performance.
  • Own and strengthen cloud security posture, particularly across AWS infrastructure.
  • Manage advanced cloud networking components, including routing, Transit Gateways, Site-to-Site VPNs, and Client VPNs.
  • Collaborate with data and analytics teams to support platforms and tools such as Lakehouse, Data Warehouses, Databricks, Amazon QuickSight, and Power BI.
  • Drive technical decision-making, mentor team members, and coordinate with cross-functional teams to deliver infrastructure initiatives.
  • Identify opportunities to improve infrastructure efficiency, scalability, security, and operational performance.

Required Skills and Expertise

  • Strong scripting experience in Python and/or Bash.
  • Deep, architecture-level, hands-on expertise in AWS, with experience in Azure or other cloud platforms.
  • Strong understanding of multi-cloud architecture and infrastructure management.
  • Expertise in Infrastructure as Code using Terraform and/or Ansible.
  • Proven experience designing and governing Jenkins CI/CD pipelines.
  • Strong knowledge of Git and version control practices.
  • Production-level experience managing Docker, Kubernetes, and OpenShift environments.
  • Hands-on experience with observability frameworks, monitoring, and SRE practices.
  • Strong understanding of AWS security posture management and cloud security best practices.
  • Knowledge of advanced cloud networking, including routing, Transit Gateways, Site-to-Site VPN, and Client VPN.
  • Familiarity with Lakehouse architecture, Data Warehousing, Databricks, QuickSight, and Power BI.
  • Strong leadership, mentoring, problem-solving, and cross-team collaboration skills.

Preferred Skills

  • Experience implementing and managing AIOps solutions at scale.
  • Deep multi-cloud expertise across AWS, Azure, and GCP.
  • Experience managing FinOps practices and cloud cost optimization at an organizational scale.
  • Exposure to large-scale cloud infrastructure and enterprise DevOps environments.

Must-Have Skills

  • Python
  • Bash
  • AWS

Good-to-Have Skills

  • FinOps
  • AWS DevOps
  • OpenShift
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