DevSecOps Engineer

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

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.

Job Description:

Infilect is a GenAI company pioneering the use of Image Recognition in Consumer Packaged Goods retail.

We are looking for a Senior DevOps Engineer to be responsible and accountable for the smooth running of our Cloud, AI workflows, and AI-based Computer Systems. Furthermore, the candidate will supervise the implementation and maintenance of the company’s computing needs including the in-house GPU & AI servers along with AI workloads.

Responsibilities

• Understanding and automating AI based deployment an AI based workflows
• Implementing various development, testing, automation tools, and IT infrastructure
• Manage Cloud, computer systems and other IT assets.
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Design, develop, implement, and coordinate systems, policies, and procedures for Cloud and on-premise systems
• Ensure the security of data, network access, and backup systems
• Act in alignment with user needs and system functionality to contribute to organizational policy
• Identify problematic areas, perform RCA and implement strategic solutions in time
• Preserve assets, information security, and control structures
• Handle monthly/annual cloud budget and ensure cost effectiveness

Requirements and skills

• Well versed in automation tools such as Docker, Kubernetes, Puppet, Ansible etc.
• Working Knowledge of Python, SQL database stack or any full-stack with relevant tools.
• Understanding agile development, CI/CD, sprints, code reviews, Git and GitHub/Bitbucket workflows
• Well versed with ELK stack or any other logging, monitoring and analysis tools
• Proven working experience of 2+ years as an DevOps/Tech lead/IT Manager or relevant positions
• Excellent knowledge of technical management, information analysis, and of computer hardware/software systems
• Hands-on experience with computer networks, network administration, and network installation
• Knowledge in ISO/SOC Type II implementation with be a 
• BE/B.Tech/ME/M.Tech in Computer Science, IT, Electronics or a similar field

What you will do

We are looking for an exceptional engineering lead to join our team. You will be responsible for building and owning the systems that would have critical impact for the business and the experience of our community from day one. 

• Build and lead an agile engineering team
• Work closely with Founder on product development
• Collaborate with operations team to understand customer pain points and solve interesting problems
• Code, test, ship - manage the entire application cycle
• Build libraries and documentation for future references
• Research and develop best practices and tools to enable delivery of features
• Set up capabilities to track and report business and user metrics
• Design and improve architecture to ensure scalability
  
  

Requirements

• Proven experience at scaling tech companies, preferably in commerce or social network
• Keen to innovate, open-minded and collaborative
• Able to interpret product needs and suggest appropriate solutions
• Have led a team, also able to code hands-on
• Strong communication skills
• Strong work ethic: responsible, responsive, and detail-oriented.
  
  

Technologies we use
Go, Flutter, AWS, Google Cloud

Who we are :

Stanza Living is India's largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India. We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers' lifestyle. From smartly-planned residences, host of amenities and services for hassle-free living to exclusive community engagement programmes - everything is seamlessly integrated through technology to ensure the highest consumer delight.

Today, we are :

• India's largest managed accommodation company with over 75,000+ beds under management across 25+ cities
• Most capitalized player in the managed accommodation space, backed by global marquee investors - Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners
• Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn
• LinkedIn Top Startup to Work for - 2019

Objectives of this role :

- Work in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the company

- Define and document best practices and strategies regarding application deployment and infrastructure maintenance

- Provide guidance, thought leadership, and mentorship to developer teams to build their cloud competencies

- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design

- Manage cloud environments in accordance with company security guidelines

Job Description :

- Excellent understanding of Cloud Platform (AWS)

- Strong knowledge on AWS Services, design, configuration on enterprise systems

- Good knowledge on Kubernetes configuration, Dockers

- Understanding the needs of the business for defining AWS system specifications

- Understand Architecture Requirements and ensure effective support activities

- Evaluation and choosing suitable AWS Service or and suggesting methods for integration

- Overseeing assigned programs and guiding the team members

- Providing assistance when technical problems arise

- Making sure the agreed infrastructure and architecture are implemented

- Addressing the technical concerns, suggestions, and ideas

- Configure Monitoring systems to make sure they meet business goals as well as user requirements

- Excellent knowledge of AWS IaaS Layer

- Ability to lead & implement PS workloads or POCs

- Ensure continual knowledge management

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform  etc

This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.

This person MUST have:

• B.E Computer Science or equivalent
• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
• Experience configuring/maintaining one monitoring tool.
• Excellent verbal & written communication skills.
• Candidates with certifications - AWS, GCP, CKA, etc will be preferred
• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..

Location:

• Remotely, anywhere in India

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.