
Role Overview:
As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.
Key Responsibilities:
- Design and manage scalable, secure, and highly available cloud infrastructure.
- Lead efforts in implementing and optimizing CI/CD pipelines.
- Automate repetitive tasks and develop robust monitoring solutions.
- Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
- Troubleshoot complex issues across development, staging, and production environments.
- Mentor and guide L1 engineers on best practices.
- Stay updated on emerging DevOps tools and technologies.
- Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
Qualifications:
- Bachelor’s degree in Computer Science, IT, or a related field.
- Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
- Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
- Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
- Proficiency in scripting languages like Python, Bash, or PowerShell.
- Deep understanding of system security, networking, and load balancing.
- Strong analytical skills and problem-solving mindset.
- Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.
What We Offer:
- Opportunity to work with a cutting-edge tech stack in a product-first company.
- Collaborative and growth-oriented environment.
- Competitive salary and benefits.
- Freedom to innovate and contribute to impactful projects.

About Alyke
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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.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- 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.
We are hiring a Senior DevOps Engineer (5–10 years experience) with strong hands-on expertise in AWS, CI/CD, Docker, Kubernetes, and Linux. The role involves designing, automating, and managing scalable cloud infrastructure and deployment pipelines. Experience with Terraform/Ansible, monitoring tools, and security best practices is required. Immediate joiners preferred.
Job Title: AWS DevOps Engineer
Experience Level: 5+ Years
Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon
Summary:
We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.
Key Responsibilities:
- Provision AWS infrastructure using Terraform (IaC).
- Manage and troubleshoot Kubernetes clusters (EKS/ECS).
- Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
- Support CI/CD pipelines using Jenkins and GitHub.
- Collaborate with teams to resolve infrastructure and deployment issues.
- Maintain documentation of infrastructure and operational procedures.
Required Skills:
- 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
- Strong Linux administration and troubleshooting skills.
- Experience managing Kubernetes clusters.
- Basic experience with CI/CD tools like Jenkins and GitHub.
- Good communication skills and a positive, team-oriented attitude.
Preferred:
- AWS Certification (e.g., Solutions Architect, DevOps Engineer).
- Exposure to Agile and DevOps practices.
- Experience with monitoring and logging tools.
Expert troubleshooting skills.
Expertise in designing highly secure cloud services and cloud infrastructure using AWS
(EC2, RDS, S3, ECS, Route53)
Experience with DevOps tools including Docker, Ansible, Terraform.
• Experience with monitoring tools such as DataDog, Splunk.
Experience building and maintaining large scale infrastructure in AWS including
experience leveraging one or more coding languages for automation.
Experience providing 24X7 on call production support.
Understanding of best practices, industry standards and repeatable, supportable
processes.
Knowledge and working experience of container-based deployments such as Docker,
Terraform, AWS ECS.
of TCP/IP, DNS, Certs & Networking Concepts.
Knowledge and working experience of the CI/CD development pipeline and experience
of the CI/CD maturity model. (Jenkins)
Knowledge and working experience
Strong core Linux OS skills, shell scripting, python scripting.
Working experience of modern engineering operations duties, including providing the
necessary tools and infrastructure to support high performance Dev and QA teams.
Database, MySQL administration skills is a plus.
Prior work in high load and high-traffic infrastructure is a plus.
Clear vision of and commitment to providing outstanding customer service.
Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
Experience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology. Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.
RESPONSIBILITIES:
- Provide leadership on cross-functional development focused software release process.
- Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
- Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
- Work with engineering team to understand impacts of branches and code merges.
- Identify, communicate, and mitigate release delivery risks.
- Measure and monitor progress to ensure product features are delivered on time.
- Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
- Responsible for planning, monitoring, executing, and implementing the software release strategy.
- Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
- Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
- Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
- Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
- Make Improvements to processes to improve the experience and delivery for internal and external customers.
- Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
EXPERIENCE AND KNOWLEDGE:
- Bachelor’s degree in Computer Science, or related field or equivalent experience.
- Minimum 4 years related experience in product release management role.
- Excellent understanding of software delivery lifecycle.
- Technical Background with experience in common Scrum and Agile practices preferred.
- Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
- Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
- Familiarity with enterprise software deployment architecture and methodologies.
- Proven ability in building effective partnership with diverse groups in multiple locations/environments
- Ability to convey technical concepts to business-oriented teams.
- Capable of assessing and communicating risks and mitigations while managing ambiguity.
- Experience managing customer and internal expectations while understanding the organizational and customer impact.
- Strong organizational, process, leadership, and collaboration skills.
- Strong verbal, written, and interpersonal skills.
Responsibilities:
- Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
- Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
- Creating the Architecture Diagrams and documentation for various pieces
- Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response
Requirements:
- 3 - 5 years of professional experience as a DevOps / System Engineer.
- Strong knowledge in Systems Administration & troubleshooting skills with Linux.
- Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
- Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
- Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
- Experience in Infrastructure as code development using Terraform.
- Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
- Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
- Experience with GIT Version Control Software.
- Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
- Strong interpersonal and communication skills; ability to work in a team environment.
- AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
- Setup and management of a Kubernetes cluster, including writing Docker files.
- Experience working in and advocating for agile environments.
- Knowledge in Microservice architecture.









