DevSecOps Engineer

DevOps Engineer (Cloud & Infrastructure)

📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years

About TestMu AI

TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.

• Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
• Comprehensive Coverage: Supports web, mobile, and enterprise applications.
• Real-World Testing: Scale execution across real devices, browsers, and custom environments.

About the Role

This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.

You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.

Key Responsibilities: The Pillars of Growth

A. DevOps & Automation (50% Focus)

• Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
• Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
• Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
• Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.

B. Networking & Data Center Mastery (30% Focus)

• Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
• Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
• Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
• Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.

C. Development & Scripting (20% Focus)

• Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
• Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
• Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".

The Interview Journey

We value your ability to solve problems under pressure more than your ability to memorize documentation.

1. Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
2. Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
3. Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
4. Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.

Growth Timeline

This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.

Perks That Matter

Health Cover: Comprehensive insurance for you and your family.

Fresh Meals: Daily catered meals at the office.

Transport: Safe cab facilities for eligible shifts.

Pod Budgets: Dedicated engagement budgets for team building and offsites.

GCP Cloud Engineer:

• Proficiency in infrastructure as code (Terraform).
• Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
• Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
• Design Disaster Recovery and backup strategies to meet application objectives.
• Working knowledge of Google Cloud
• Working knowledge of various tools, open-source technologies, and cloud services
• Experience working on Linux based infrastructure.
• Excellent problem-solving and troubleshooting skills

We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).

Job Description:

● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.

●Responsible for deploying highly complex, distributed transaction processing systems.

● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization

● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale

● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking

● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.

● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.

● Ensuring scaled database setup/monitoring with near zero downtime

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus