Cloud Architect_EMCA012PS

Lightning Job By Cutshort ⚡

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Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Kindly apply at https://wohlig.keka.com/careers/jobdetails/54566

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.

• 3+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

DevOps Engineer

Location: Bangalore office

About Peliqan

Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.

The Role

Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.

Responsibilities

Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.

Maintain Docker-based local development environments for the engineering team.

Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).

Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.

Set up and manage monitoring, alerting, and logging for platform health and incident response.

Manage release processes — deployments, rollbacks, and release strategies.

• Maintain infrastructure-as-code using Helm charts.
• Support security hardening and compliance efforts (SOC 2, GDPR).

Requirements

3+ years in a DevOps, SRE, or Infrastructure Engineering role.

Strong hands-on experience with Kubernetes and Helm charts.

Deep familiarity with Docker for containerisation and local dev workflows.

Production experience with AWS and/or Google Cloud.

• Proficiency in Python and Bash scripting for automation and tooling.
• Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
• Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).

Nice to Have

• Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
• Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
• Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

At Toast, our Site Reliability Engineers (SREs) are responsible for keeping all customer-facing services and other Toast production systems running smoothly. SREs are a blend of pragmatic operators and software craftspeople who apply sound software engineering principles, operational discipline, and mature automation to our environments and our codebase. Our decisions are based on instrumentation and continuous observability, as well as predictions and capacity planning.

About this roll* (Responsibilities) 

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and uplift
• Balance feature development speed and reliability with well-defined service level objectives

Troubleshooting and Supporting Escalations:

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
• Diagnose performance bottlenecks and implement optimizations across infrastructure, databases, web, and mobile applications
• Implement strategies to increase system reliability and performance through on-call rotation and process optimization
• Perform and run blameless RCAs on incidents and outages aggressively, looking for answers that will prevent the incident from ever happening again

Do you have the right ingredients? (Requirements)

• Extensive industry experience with at least 7+ years in SRE and/or DevOps roles
• Polyglot technologist/generalist with a thirst for learning
• Deep understanding of cloud and microservice architecture and the JVM
• Experience with tools such as APM, Terraform, Ansible, GitHub, Jenkins, and Docker
• Experience developing software or software projects in at least four languages, ideally including two of Go, Python, and Java
• Experience with cloud computing technologies ( AWS cloud provider preferred)

Bread puns are encouraged but not required

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Datadriven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RaRa Delivery.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
• Operate to strengthen teams across their product with their knowledge base
• Contribute to improving team relatedness, and help build a culture of camaraderie.
• Continuously refactor applications to ensure high-quality design
• Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team
• Excellent bash, and scripting fundamentals and hands-on with scripting in programming languages such as Python, Ruby, Golang, etc.
• Good understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Basic understanding of cluster orchestrators and schedulers (Kubernetes)
• Deep knowledge of Linux as a production environment, container technologies. e.g. Docker, Infrastructure As Code such as Terraform, K8s administration at large scale.
• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, CI/CD.

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash