Key Responsibilities:
- Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
- Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
- CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
- Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.
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Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonReview Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Elastic Search
Amazon Web Services (AWS)Overview
adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.
Job Description
The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange
We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.
The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.
Responsibilities:
Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.
Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.
Improve and fix bugs in installation and automation routines.
Monitor CPU usage, security findings, and AWS alerts.
Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.
Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).
Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.
Integrate data from AWS CloudWatch.
Document all relevant information and train involved personnel in the used technologies.
Requirements:
Experience with Elastic Stack (ELK) components and related technologies.
Proficiency in automation tools like Ansible and CloudFormation.
Strong knowledge of AWS Cloud services.
Experience in creating and managing dashboards and alerts.
Familiarity with IAM roles and rights management.
Ability to document processes and train team members.
Excellent problem-solving skills and attention to detail.
Skills & Requirements
Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.
KubernetesTitle: Azure Cloud Developer/Engineer
Exp: 5+ yrs
Location: T-Hub, Hyderabad
Work from office (5 days/week)
Interview rounds: 2-3
Excellent comm skills
Immediate Joiner
Job Description
Position Overview:
We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.
Key Responsibilities:
- Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
- Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
- Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
- Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
- Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
- Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
- Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
- Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
- Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
- Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
- Work with Azure Key Vault for secrets and certificate management.
- Explore multi-cloud strategies, integrating AWS services where necessary.
Key Skills Required:
- Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
- Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
- Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
- Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
- Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
- CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
- Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
- Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
- Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
- Strong understanding of containerization, orchestration, and microservices architecture.
Certifications (Preferred):
Required:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure DevOps Engineer Expert
Nice to Have (AWS Experience):
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified DevOps Engineer – Professional
Nice to Have Skills:
- Experience with multi-cloud environments (Azure & AWS).
- Familiarity with container security tools (Aqua Security, Prisma Cloud).
- Experience with GitOps methodologies using tools like ArgoCD or Flux.
- Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).
Benefits
Why Join Us?
- Competitive salary with performance-based incentives.
- Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
- Access to training programs, workshops, and learning resources.
- Comprehensive health insurance coverage for employees and their families.
- Wellness programs and mental health support.
- Hands-on experience with large-scale, innovative cloud solutions.
- Opportunities to work with modern tools and technologies.
- Inclusive, supportive, and team-oriented environment.
- Opportunities to collaborate with global clients and cross-functional teams.
- Regular performance reviews with rewards for outstanding contributions.
- Employee appreciation events and programs.
Kubernetes
Docker
PostgreSQLAbout 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
Position: DevOps Lead
Job Description
● Research, evangelize and implement best practices and tools for GitOps, DevOps, continuous integration, build automation, deployment automation, configuration management, infrastructure as code.
● Develop software solutions to support DevOps tooling; including investigation of bug fixes, feature enhancements, and software/tools updates
● Participate in the full systems life cycle with solution design, development, implementation, and product support using Scrum and/or other Agile practices
● Evaluating, implementing, and streamlining DevOps practices.
● Design and drive the implementation of fully automated CI/CD pipelines.
● Designing and creating Cloud services and architecture for highly available and scalable environments. Lead the monitoring, debugging, and enhancing pipelines for optimal operation and performance. Supervising, examining, and handling technical operations.
Qualifications
● 5 years of experience in managing application development, software delivery lifecycle, and/or infrastructure development and/or administration
● Experience with source code repository management tools, code merge and quality checks, continuous integration, and automated deployment & management using tools like Bitbucket, Git, Ansible, Terraform, Artifactory, Service Now, Sonarqube, Selenium.
● Minimum of 4 years of experience with approaches and tooling for automated build, delivery, and release of the software
● Experience and/or knowledge of CI/CD tools: Jenkins, Bitbucket Pipelines, Gitlab CI, GoCD.
● Experience with Linux systems: CentOS, RHEL, Ubuntu, Secure Linux... and Linux Administration.
● Minimum of 4 years experience with managing medium/large teams including progress monitoring and reporting
● Experience and/or knowledge of Docker, Cloud, and Orchestration: GCP, AWS, Kubernetes.
● Experience and/or knowledge of system monitoring, logging, high availability, redundancy, autoscaling, and failover.
● Experience automating manual and/or repetitive processes.
● Experience and/or knowledge with networking and load balancing: Nginx, Firewall, IP network
KubernetesDockerAmazon Web Services (AWS)Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
JenkinsDockerDevOps Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. we offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Key Qualifications
· 4+ years of experience as a DevOps Engineer with monitoring, troubleshooting, and diagnosing infrastructure systems.
· Experience in implementation of continuous integration and deployment pipelines using Jenkins, JIRA, JFrog, etc
· Strong experience in Linux/Unix administration.
· Experience with automation/configuration management using Puppet, Chef, Ansible, Terraform, or other similar tools.
· Expertise in multiple coding and scripting languages including Shell, Python, and Perl
· Hands-on experience Exposure to modern IT infrastructure (eg. Docker swarm/Mesos/Kubernetes/Openstack)
· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database
· Worked on open-source tools for logging, monitoring, search engine, caching, etc.
· Professional Certificates in AWS or any other cloud is preferable
· Excellent problem solving and troubleshooting skills
· Must have good written and verbal communication skills
Key Responsibilities
Ambitious individuals who can work under their own direction towards agreed targets/goals.
Must be flexible to work on the office timings to accommodate the multi-national client timings.
Will be involved in solution designing from the conceptual stages through development cycle and deployments.
Involve development operations & support internal teams
Improve infrastructure uptime, performance, resilience, reliability through automation
Willing to learn new technologies and work on research-orientated projects
Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.
Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.
Independent thinking, ability to work in a fast-paced environment with creativity and brainstorming
http://www.banyandata.com" target="_blank">www.banyandata.com
PythonContract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)
Kubernetes
Go Programming (Golang)PythonYou will be responsible for
1. Setting up, maintaining cloud (AWS/GCP/Azure) and kubernetes cluster and automating
their operation
2. All operational aspects of devtron platform including maintenance, upgrades,
automation.
3. Providing kubernetes expertise to facilitate smooth and fast customer onboarding on
devtron platform
Responsibilities:
1. Manage devtron platform on multiple kubernetes clusters
2. Designing and embedding industry best practices for online services including disaster
recovery, business continuity, monitoring/alerting, and service health measurement
3. Providing operational support for day to day activities involving the deployment of
services
4. Identify opportunities for improving the security, reliability, and scalability of the platform
5. Facilitate smooth and fast customer onboarding on devtron platform
6. Drive customer engagement
Requirements:
● Bachelor's Degree in Computer Science or a related field.
● 2+ years working as a devops engineer
● Proficient in 1 or more programming languages (e.g. Python, Go, Ruby).
● Familiar with shell scripts, Linux commands, network fundamentals
● Understanding of large scale distributed systems
● Basic understanding of cloud computing (AWS/GCP/Azure)
Preferred Qualifications:
● Great analytical and interpersonal skills
● Passion for creating efficient, reliable, reusable programs/scripts.
● Excited about technology, have a strong interest in learning about and playing with the
latest technologies and doing POC.
● Strong customer focus, ownership, urgency and drive.
● Knowledge and experience with cloud native tools like prometheus, kubernetes, docker,
grafana.
Job Description :
- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team.
- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven
- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.
Key responsibilities :
- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.
Required Knowledge :
- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.
- Good written and verbal communication skills
Qualification :
Education and Experience : Bachelors/Masters in Computer Science
Open for 24- 7 shifts
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon