- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills

Similar jobs
Job Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
REVIEW CRITERIA:
MANDATORY:
- Strong Senior/Lead DevOps Engineer Profile
- Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
- Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
- Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
- Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
- Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
- Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
- Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
- Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
- Its an IC role
PREFERRED:
- Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
- Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
- Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
- Candidates from NCR region only (No outstation candidates).
ROLES AND RESPONSIBILITIES:
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.
KEY RESPONSIBILITIES:
Cloud & Infrastructure as Code (IaC)-
- Architect and manage AWS environments ensuring scalability, security, and high availability.
- Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
- Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.
CI/CD & Automation:
- Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
- Automate deployments, provisioning, and monitoring across environments.
Containers & Orchestration:
- Deploy and operate workloads on Docker and Kubernetes (EKS).
- Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
- Optimize performance of containerized and microservices applications.
Monitoring & Reliability:
- Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Establish logging, alerting, and proactive monitoring for high availability.
Security & Compliance:
- Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
- Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
- Configure VPNs, firewalls, and secure access policies and AWS organizations.
Databases & Analytics:
- Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Manage data reliability, performance tuning, and cloud-native integrations.
- Experience with Apache Airflow and Spark.
IDEAL CANDIDATE:
- 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
- Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
- Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
- Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
- Proven ability with CI/CD pipeline automation and DevSecOps practices.
- Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
- Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
- Strong scripting skills (Shell/bash, Python, or similar) for automation.
- Bachelor / Master’s degree
- Effective communication skills
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
DevOps Engineer
Our engineering team is looking for Big-Data DevOps engineers to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on premise deployments.
Responsibilities
- 3-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
- Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
- Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
- Experience with middle-layer technologies including web servers (httpd, ningx),
application servers (Jboss, Tomcat) and database systems (postgres, mysql)
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
- Experience supporting on-premise solutions as well as on AWS cloud
- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Terraform, etc
- Experience working with CI/CD tools like Jenkins and various test report and coverage Plugins
- Experience defining and automating the build, versioning and release processes for complex enterprise products
- Experience supporting clients remotely and on-site
- Experience working with and supporting Java- and Python-based tech stacks would be a Plus
Company Overview
Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge.
Position Overview
We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability.
Key Responsibilities
- Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices.
- Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency.
- Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users.
- Implement and manage CI/CD pipelines to automate software delivery and ensure code quality.
- Manage and configure cloud-based infrastructure services to optimize performance and cost.
- Collaborate with development teams to design and implement scalable, reliable, and secure applications.
- Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues.
- Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data.
- Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability.
- Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role
- Strong understanding of cloud computing principles and experience with AWS
- Experience of building and supporting complex CI/CD pipelines using Github
- Experience of building and supporting infrastructure as a code using Terraform
- Proficiency in scripting and automating tools
- Solid understanding of networking concepts and protocols
- Understanding of security best practices and experience implementing security controls in cloud environments
- Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage.
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
Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.
Immediate Joiners or candidates with 30 days notice period are preferred.
Requirements:-
- Minimum 4-6 Years experience in DevOps Release Engineering.
- Expert-level knowledge of Git.
- Must have great command over Kubernetes
- Certified Kubernetes Administrator
- Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure.
- Expert level of knowledge in Docker.
- Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet.
- Basic level of web development experience and setup: Apache, Nginx, MySQL
- Basic level of familiarity with Agile/Scrum process and JIRA.
- Expert level of Knowledge in AWS Cloud Services.
Implement DevOps capabilities in cloud offerings using CI/CD toolsets and automation
Defining and setting development, test, release, update, and support processes for DevOps
operation
Troubleshooting techniques and fixing the code bugs
Coordination and communication within the team and with client team
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
Pre-requisite skills required:
Experience working on Linux based infrastructure
Experience of scripting in at-least 2 languages ( Bash + Python / Ruby )
Working knowledge of various tools, open-source technologies, and cloud services
Experience with Docker, AWS ( ec2, s3, iam, eks, route53), Ansible, Helm, Terraform
Experience with building, maintaining, and deploying Kubernetes environments and
applications
Experience with build and release automation and dependency management; implementing
CI/CD
Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio
Job role
Anaxee is India's REACH Engine! To provide access across India, we need to build highly scalable technology which needs scalable Cloud infrastructure. We’re seeking an experienced cloud engineer with expertise in AWS (Amazon Web Services), GCP (Google Cloud Platform), Networking, Security, and Database Management; who will be Managing, Maintaining, Monitoring, Handling Cloud Platforms, and ensuring the security of the same.
You will be surrounded by people who are smart and passionate about the work they are doing.
Every day will bring new and exciting challenges to the job.
Job Location: Indore | Full Time | Experience: 1 year and Above | Salary ∝ Expertise | Rs. 1.8 LPA to Rs. 2.64 LPA
About the company:
Anaxee Digital Runners is building India's largest last-mile Outreach & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach the remotest parts of India, on-demand.
We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Anaxee is one of the very few venture-funded startups in Central India | Website: www.anaxee.com
Important: Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8
Responsibilities (You will enjoy the process):
#Triage and troubleshoot issues on the AWS and GCP and participate in a rotating on-call schedule and address urgent issues quickly
#Develop and leverage expert-level knowledge of supported applications and platforms in support of project teams (architecture guidance, implementation support) or business units (analysis).
#Monitoring the process on production runs, communicating the information to the advisory team, and raising production support issues to the project team.
#Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
#Developing and implementing technical efforts to design, build, and deploy AWS and GCP applications at the direction of lead architects, including large-scale data processing and advanced analytics
#Participate in all aspects of the SDLC for AWS and GCP solutions, including planning, requirements, development, testing, and quality assurance
#Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures
#Educate teams on the implementation of new cloud-based initiatives, providing associated training as required
#Build and maintain operational tools for deployment, monitoring, and analysis of AWS and GCP infrastructure and systems; Design, deploy, maintain, automate & troubleshoot virtual servers and storage systems, firewalls, and Load Balancers in our hybrid cloud environment (AWS and GCP)
What makes a great DevOps Engineer (Cloud) for Anaxee:
#Candidate must have sound knowledge, and hands-on experience, in GCP (Google Cloud Platform) and AWS (Amazon Web Services)
#Good hands-on Linux Operating system OR any other similar distributions, viz. Ubuntu, CentOS, RHEL/RedHat, etc.
#1+ years of experience in the industry
#Bachelor's degree preferred with Science/Maths background (B.Sc/BCA/B.E./B.Tech)
#Enthusiasm to learn new software, take ownership and latent desire and curiosity in the related domain like Cloud, Hosting, Programming, Software development, security.
#Demonstrable skills troubleshooting a wide range of technical problems at application and system level, and have strong organizational skills with eye for detail.
#Prior knowledge of risk-chain is an added advantage
#AWS/GCP certifications is a plus
#Previous startup experience would be a huge plus.
The ideal candidate must be experienced in cloud-based tech, with a firm grasp on emerging technologies, platforms, and applications, and have the ability to customize them to help our business become more secure and efficient. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT operations, and an ongoing impact on our overall growth
What we offer
#Startup Flexibility
#Exciting challenges to learn grow and implement notions
#ESOPs (Employee Stock Ownership Plans)
#Great working atmosphere in a comfortable office,
#And an opportunity to get associated with a fast-growing VC-funded startup.
What happens after you apply?
You will receive an acknowledgment email with company details.
If gets shortlisted, our HR Team will get in touch with you (Call, Email, WhatsApp) in a couple of days
Rest all the information will be communicated to you then via our AMS.
Our expectations before/after you click “Apply Now”
Read about Anaxee: http://www.anaxee.com/
Watch this six mins pitch to get a better understanding of what we are into https://www.youtube.com/watch?v=7QnyJsKedz8
Let's dive into detail (Company Presentation): https://bit.ly/anaxee-deck-brands
Must-Have’s:
- Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)
Job Description:
- Knowledge on what is a DevOps CI/CD Pipeline
- Understanding of version control systems like Git, including branching and merging strategies
- Knowledge of what is continuous delivery and integration tools like Jenkins, Github
- Knowledge developing code using Ruby or Python and Java or PHP
- Knowledge writing Unix Shell (bash, ksh) scripts
- Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet
- Experience and willingness to keep learning in a Linux environment
- Ability to provide after-hours support as needed for emergency or urgent situations
Nice to have’s:
- Proficient with container based products like docker and Kubernetes
- Excellent communication skills (verbal and written)
- Able to work in a team and be a team player
- Knowledge of PHP, MySQL, Apache and other open source software
- BA/BS in computer science or similar











