Role – Devops
Experience 3 – 6 Years
Roles & Responsibilities –
- 3-6 years of experience in deploying and managing highly scalable fault resilient systems
- Strong experience in container orchestration and server automation tools such as Kubernetes, Google Container Engine, Docker Swarm, Ansible, Terraform
- Strong experience with Linux-based infrastructures, Linux/Unix administration, AWS, Google Cloud, Azure
- Strong experience with databases such as MySQL, Hadoop, Elasticsearch, Redis, Cassandra, and MongoDB.
- Knowledge of scripting languages such as Java, JavaScript, Python, PHP, Groovy, Bash.
- Experience in configuring CI/CD pipelines using Jenkins, GitLab CI, Travis.
- Proficient in technologies such as Docker, Kafka, Raft and Vagrant
- Experience in implementing queueing services such as RabbitMQ, Beanstalkd, Amazon SQS and knowledge in ElasticStack is a plus.

Similar jobs
Primary Skills:
Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL
Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka
Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.
Cross-team coordination, incident triage and resolution, leadership and stakeholder management.
Secondary Skills:
Lang-chain, Langraph, RAG, MCP
Experience with working on LLM's and integrating with the existing applications
Python - FastAPI
Cache - Redis
Program Details:
Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Work on integrating the existing AI tools and should know major AI frameworks and libraries.
Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
If you are interested for this role, kindly acknowledge this email with your interest.
Company - Apptware Solutions
Location Baner Pune
Team Size - 130+
Job Description -
Cloud Engineer with 8+yrs of experience
Roles and Responsibilities
● Have 8+ years of strong experience in deployment, management and maintenance of large systems on-premise or cloud
● Experience maintaining and deploying highly-available, fault-tolerant systems at scale
● A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
● Practical experience with Docker containerization and clustering (Kubernetes/ECS)
● Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, VPN)
● Version control system experience (e.g. Git)
● Experience implementing CI/CD (e.g. Jenkins, TravisCI, CodePipeline)
● Operational (e.g. HA/Backups) NoSQL experience (e.g. MongoDB, Redis) SQL experience (e.g. MySQL)
● Experience with configuration management tools (e.g. Ansible, Chef) ● Experience with infrastructure-as-code (e.g. Terraform, Cloudformation)
● Bachelor's or master’s degree in CS, or equivalent practical experience
● Effective communication skills
● Hands-on cloud providers like MS Azure and GC
● A sense of ownership and ability to operate independently
● Experience with Jira and one or more Agile SDLC methodologies
● Nice to Have:
○ Sensu and Graphite
○ Ruby or Java
○ Python or Groovy
○ Java Performance Analysis
Role: Cloud Engineer
Industry Type: IT-Software, Software Services
Functional Area: IT Software - Application Programming, Maintenance Employment Type: Full Time, Permanent
Role Category: Programming & Design
We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.
We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.
Responsibilities:
- Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
- Manage and maintain Kubernetes clusters on EKS and EC2 instances
- Implement and maintain automated CI/CD pipelines for microservices
- Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
- Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
- Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
- Implement backup and disaster recovery solutions for our microservices and databases
- Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
- Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
- Experience with large scale system design and scaling services is highly desirable
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 5 years of experience in AWS DevOps and infrastructure engineering
- Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
- Experience with SOC2 compliance and vulnerability assessment best practices for microservices
- Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
- Strong scripting skills in languages like Python, Bash, and Go
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with agile development methodologies and DevOps practices
- AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.
Notice period : Can join within a month
About Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
Role : SRE
Experience : 4 - 8 Years
- Experience in building, deploying and operating cloud solutions on Kubernetes
- Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
- Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
- Hands-on experience as a DevOps or Automation development
- Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
- Experience working with Helm Charts and building out Infrastructure As Code (IaC)
- Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
- Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
- Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
- Architected CNF Orchestration with Kubernetes
- Strong understanding of the principles of 12-factor apps and modern containerized microservices
- Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
- Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL
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.
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.
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization
Qualifications:
• At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise on configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:
Must-Have’s:
Job Description
We are looking to add DevOps Engineer to the Infra team.
Roles & Responsibilities
What you do :
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
-
Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare-metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
-
Data management skills
Education :
- Degree in Computer Engineering or Computer Science
- 1-3 years of equivalent experience in DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
-
Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
-
The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings, etc.
- Work with intelligent, fun, and interesting people in a dynamic start-up environment.
Eligibility
B.Tech/M.Tech/B.E
Company Introduction
Established in May 2015, Indus OS is a homebred system apps company, building India’s only content and commerce platform for users to discover and consume digital content & services in the language of their choice. With a vision of digitally connecting 1 Billion Indians, Indus OS is constantly striving to adapt its existing portfolio (App Store, Minus One Screen, Keyboard, Messenger, etc) by introducing new features to enrich the user experience in their native language.
Currently, Indus OS has a user base of over 12+ Million on the back of 10+ smartphone brand partnerships with leading OEMs such as Samsung, Gionee, iTel, Micromax, Intex, Karbonn, and others. The Indus platform is available in English & 23 Indian regional languages and is intended to digitally connect the next 1 billion people in the emerging markets.










