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Role: Senior Platform Engineer (GCP Cloud)
Experience Level: 3 to 6 Years
Work location: Mumbai
Mode : Hybrid
Role & Responsibilities:
- Build automation software for cloud platforms and applications
- Drive Infrastructure as Code (IaC) adoption
- Design self-service, self-healing monitoring and alerting tools
- Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
- Build Kubernetes container platforms
- Introduce new cloud technologies for business innovation
Requirements:
- Hands-on experience with GCP Cloud
- Knowledge of cloud services (compute, storage, network, messaging)
- IaC tools experience (Terraform/CloudFormation)
- SQL & NoSQL databases (Postgres, Cassandra)
- Automation tools (Puppet/Chef/Ansible)
- Strong Linux administration skills
- Programming: Bash/Python/Java/Scala
- CI/CD pipeline expertise (Jenkins, Git, Maven)
- Multi-region deployment experience
- Agile/Scrum/DevOps methodology
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.
Job role: Systems Engineer (L2)
Location: Remote/Bengaluru
Experience: 3-6 years
About the Role:
We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.
Key Responsibilities:
— Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.
— Manage and optimize networking components — routers, switches, firewalls, load balancers.
— Handle incident response — monitor systems, identify issues, resolve production problems.
— Implement DevOps best practices — CI/CD pipelines, automation, containerization.
— Collaborate with backend and product teams on system architecture.
— Performance tuning — ensure high availability and reliability of platform.
— Security management — implement security protocols and compliance standards.
Required Skills:
Technical:
- Linux/Unix administration — strong fundamentals
- Networking — TCP/IP, DNS, BGP, VoIP protocols
- Cloud platforms — AWS/GCP/Azure — minimum 2 years
- DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
- Monitoring tools — Grafana, Prometheus, Kibana, Datadog
- Scripting — Python, Bash, Shell
- Databases — MySQL, PostgreSQL, Redis
Soft skills:
- Strong problem-solving under pressure
- Good communication — English written and verbal
- Team player — collaborative mindset
Good to Have:
- Experience in telecom/CPaaS/cloud communications industry
- Knowledge of VoIP, SIP, RTP protocols
- AI/ML operations experience
- CCNA/AWS certifications
Strong Lead DevOps / Infrastructure Engineer Profiles.
Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.
Mandatory (Education) –B.E/ B.Tech
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
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Job Title - DevOps Engineer
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Reports Into - Lead DevOps Engineer
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Location - India
A Little Bit about Kwalee….
Kwalee is one of the world’s leading multiplatform game developers and publishers, with well over 900 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Airport Security and Makeover Studio 3D. We also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope, Die by the Blade and Scathe.
What’s In It For You?
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Hybrid working - 3 days in the office, 2 days remote/ WFH is the norm
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Flexible working hours - we trust you to choose how and when you work best
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Profit sharing scheme - we win, you win
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Private medical cover - delivered through BUPA
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Life Assurance - for long term peace of mind
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On site gym - take care of yourself
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Relocation support - available
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Quarterly Team Building days - we’ve done Paintballing, Go Karting & even Robot Wars
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Pitch and make your own games on https://www.kwalee.com/blog/inside-kwalee/what-are-creative-wednesdays/">Creative Wednesdays!
Are You Up To The Challenge?
As a DevOps Engineer you have a passion for automation, security and building reliable expandable systems. You develop scripts and tools to automate deployment tasks and monitor critical aspects of the operation, resolve engineering problems and incidents. Collaborate with architects and developers to help create platforms for the future.
Your Team Mates
The DevOps team works closely with game developers, front-end and back-end server developers making, updating and monitoring application stacks in the cloud.Each team member has specific responsibilities with their own projects to manage and bring their own ideas to how the projects should work. Everyone strives for the most efficient, secure and automated delivery of application code and supporting infrastructure.
What Does The Job Actually Involve?
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Find ways to automate tasks and monitoring systems to continuously improve our systems.
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Develop scripts and tools to make our infrastructure resilient and efficient.
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Understand our applications and services and keep them running smoothly.
Your Hard Skills
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Minimum 1 years of experience on a dev ops engineering role
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Deep experience with Linux and Unix systems
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Networking basics knowledge (named, nginx, etc)
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Some coding experience (Python, Ruby, Perl, etc.)
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Experience with common automation tools (Ex. Chef, Terraform, etc)
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AWS experience is a plus
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A creative mindset motivated by challenges and constantly striving for the best
Your Soft Skills
Kwalee has grown fast in recent years but we’re very much a family of colleagues. We welcome people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances, and all we ask is that you collaborate, work hard, ask questions and have fun with your team and colleagues.
We don’t like egos or arrogance and we love playing games and celebrating success together. If that sounds like you, then please apply.
A Little More About Kwalee
Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts.
Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle.
We have an amazing team of experts collaborating daily between our studios in Leamington Spa, Lisbon, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, Cyprus, the Philippines and many more places around the world. We’ve recently acquired our first external studio, TicTales, which is based in France.
We have a truly global team making games for a global audience, and it’s paying off: - Kwalee has been voted the Best Large Studio and Best Leadership Team at the TIGA Awards (Independent Game Developers’ Association) and our games have been downloaded in every country on earth - including Antarctica!
What is the role?
As a DevOps Engineer, you are responsible for setting up and maintaining the GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, and Cloud security.
Key Responsibilities
- Set up, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi-hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Work on Docker images and maintain Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Work on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve a successful implementation of integrated solutions within the portfolio.
- Have the necessary technical and professional expertise.
What are we looking for?
- Minimum 5-12 years of experience in the IT industry.
- Expertise in implementing and managing DevOps CI/CD pipeline.
- Experience in DevOps automation tools. Well versed with DevOps Frameworks, and Agile.
- Working knowledge of scripting using Shell, Python, Terraform, Ansible, Puppet, or chef.
- Experience and good understanding of any Cloud like AWS, Azure, or Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience with Jira is a plus.
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being here.
We are
It is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II,offers a suite of three products - Plum, Empuls, and Compass. Works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, It is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
What your average day would look like:
- Deploy and maintain mission-critical information extraction, analysis, and management systems
- Manage low cost, scalable streaming data pipelines
- Provide direct and responsive support for urgent production issues
- Contribute ideas towards secure and reliable Cloud architecture
- Use open source technologies and tools to accomplish specific use cases encountered within the project
- Use coding languages or scripting methodologies to solve automation problems
- Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
- Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time
What you need to work with us:
- Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
- Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
- Proficiency in Unix Operating systems and comfortable with Networking concepts
- Experience with developing/deploying a scalable system
- Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
- Experience in managing Hadoop clusters
- Understanding of containers and have managed them in production using container orchestration services.
- Solid understanding of data structures and algorithms.
- Applied exposure to continuous delivery pipelines (CI/CD).
- Keen interest and proven track record in automation and cost optimization.
Experience:
- 1-4 years of relevant experience
- BE in Computer Science / Information Technology
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery












