Senior Cloud & Devops Engineer
at provides mobile application development & support services.
Docker
Kubernetes
Amazon Web Services (AWS)
MongoDB
Redis
Elastic Search
Python
JenkinsWe are looking for a self motivated and goal oriented candidate to lead in architecting, developing, deploying, and maintaining first class, highly scalable, highly available SaaS platforms.
This is a very hands-on role. You will have a significant impact on Wenable's success.
Technical Requirements:
8+ years SaaS and Cloud Architecture and Development with frameworks such as:
- AWS, GoogleCloud, Azure, and/or other
- Kafka, RabbitMQ, Redis, MongoDB, Cassandra, ElasticSearch
- Docker, Kubernetes, Helm, Terraform, Mesos, VMs, and/or similar orchestration, scaling, and deployment frameworks
- ProtoBufs, JSON modeling
- CI/CD utilities like Jenkins, CircleCi, etc..
- Log aggregation systems like Graylog or ELK
- Additional development tools typically used in orchestration and automation like Python, Shell, etc...
- Strong security best practices background
- Strong software development a plus
Leadership Requirements:
- Strong written and verbal skills. This role will entail significant coordination both internally and externally.
- Ability to lead projects of blended teams, on/offshore, of various sizes.
- Ability to report to executive and leadership teams.
- Must be data driven, and objective/goal oriented.
Shubham Vishwakarma
Full Stack Developer - Averlon
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📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
KubernetesDockerThe 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.
Amazon Web Services (AWS)General Description:
Owns all technical aspects of software development for assigned applications.
Participates in the design and development of systems & application programs.
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **DataDog** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**
Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
DockerKubernetesAmazon Web Services (AWS)Position: SDE-1 DevSecOps
Location: Pune, India
Experience Required: 0+ Years
We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.
About FlytBase
FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.
The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.
The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.
Role and Responsibilities:
- Participate in the creation and maintenance of CI/CD solutions and pipelines.
- Leverage Linux and shell scripting for automating security and system updates, and design secure architectures using AWS services (VPC, EC2, S3, IAM, EKS/Kubernetes) to enhance application deployment and management.
- Build and maintain secure Docker containers, manage orchestration using Kubernetes, and automate configuration management with tools like Ansible and Chef, ensuring compliance with security standards.
- Implement and manage infrastructure using Terraform, aligning with security and compliance requirements, and set up Dynatrace for advanced monitoring, alerting, and visualization of security metrics. Develop Terraform scripts to automate and optimize infrastructure provisioning and management tasks.
- Utilize Git for secure source code management and integrate continuous security practices into CI/CD pipelines, applying vulnerability scanning and automated security testing tools.
- Contribute to security assessments, including vulnerability and penetration testing, NIST, CIS AWS, NIS2 etc.
- Implement and oversee compliance processes for SOC II, ISO27001, and GDPR.
- Stay updated on cybersecurity trends and best practices, including knowledge of SAST and DAST tools, OWASP Top10.
- Automate routine tasks and create tools to improve team efficiency and system robustness.
- Contribute to disaster recovery plans and ensure robust backup systems are in place.
- Develop and enforce security policies and respond effectively to security incidents.
- Manage incident response protocols, including on-call rotations and strategic planning.
- Conduct post-incident reviews to prevent recurrence and refine the system reliability framework.
- Implementing Service Level Indicators (SLIs) and maintaining Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure high standards of service delivery and reliability.
Best suited for candidates who: (Skills/Experience)
- Up to 4 years of experience in a related field, with a strong emphasis on learning and execution.
- Background in IT or computer science.
- Familiarity with CI/CD tools, cloud platforms (AWS, Azure, or GCP), and programming languages like Python, JavaScript, or Ruby.
- Solid understanding of network layers and TCP/IP protocols.
- In-depth understanding of operating systems, networking, and cloud services.
- Strong problem-solving skills with a 'hacker' mindset.
- Knowledge of security principles, threat modeling, risk assessment, and vulnerability management is a plus.
- Relevant certifications (e.g., CISSP, GWAPT, OSCP) are a plus.
Compensation:
This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.
Perks:
- Fast-paced Startup culture
- Hacker mode environment
- Enthusiastic and approachable team
- Professional autonomy
- Company-wide sense of purpose
- Flexible work hours
- Informal dress code
DockerKubernetesAmazon Web Services (AWS)Intuitive is now hiring for DevOps Consultant for full-time employment
DevOps Consultant
Work Timings: 6.30 AM IST – 3.30 PM IST ( HKT 9.00 AM – 6.00 PM)
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- Mandatory
- Integrating Jenkins pipelines with Terraform and Kubernetes
- Writing Jenkins JobDSL and Jenkinsfiles using Groovy
- Automation and integration with AWS using Python and AWS CLI
- Writing ad-hoc automation scripts using Bash and Python
- Configuring container-based application deployment to Kubernetes
- Git and branching strategies
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- Beneficial
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If Your profile matches the requirements share your resume at anitha.katintuitvedotcloud
Regards,
Anitha. K
TAG Specialist
DockerJenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
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- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
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- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
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- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
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- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
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- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
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- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
DockerKubernetesAmazon Web Services (AWS)● Improve CI/CD tooling using gitlab.
● Implement and improve monitoring and alerting.
● Build and maintain highly available systems.
● Implement the CI pipeline.
● Implement and maintain monitoring stacks.
● Lead and guide the team in identifying and implementing new technologies.
● Implement and own the CI.
● Manage CD tooling.
● Implement and maintain monitoring and alerting.
● Build and maintain highly available production systems.
Skills
● Configuration Management experience such as Kubernetes, Ansible or similar.
● Managing production infrastructure with Terraform, CloudFormation, etc.
● Strong Linux, system administration background.
● Ability to present and communicate the architecture in a visual form. Strong knowledge of AWS,
Azure, GCP.
MongoDBProfile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
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Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
DockerAmazon Web Services (AWS)MongoDB● Responsible for design, development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Participating in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should be able to work on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in
● an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card
Machine Learning (ML)KubernetesPythonDevOps 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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon