
Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon

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Responsibilities
● Work with application development teams to identify and understand their operational pain points.
● Document these challenges and define goals to be achieved by the infrastructure team.
● Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.
● Rollout tools and processes with heavy focus on automation.
● Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.
● Co-own the responsibility with application development teams to ensure the reliability of services.
● Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services
● Establish and implement administrative and operational best practices in the application development teams.
● Find avenues to reduce infrastructure costs and drive optimization in all services.
Qualifications
● 5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)
● Experience with git, CI / CD, Docker, etc
● Experience in working with infrastructure as code (Terraform, etc).
● Strong Linux Shell scripting experience
● Experience with one of the programming languages like Python, Java, Kotlin, etc.
Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
- 3+ years of relevant experience
- 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
- Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
- Experience in setting CI/CD pipelines from scratch
- Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
- Understanding of common security issues
LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging 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 (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 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 query analysis, peformance tuning, database redesigning, 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
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
FINTECH CANDIDATES ONLY
About the job:
Emint is a fintech startup with the mission to ‘Make the best investing product that Indian consumers love to use, with simplicity & intelligence at the core’. We are creating a platformthat
gives a holistic view of market dynamics which helps our users make smart & disciplined
investment decisions. Emint is founded by a stellar team of individuals who come with decades of
experience of investing in Indian & global markets. We are building a team of highly skilled &
disciplined team of professionals and looking at equally motivated individuals to be part of
Emint. Currently are looking at hiring a Devops to join our team at Bangalore.
Job Description :
Must Have:
• Hands on experience on AWS DEVOPS
• Experience in Unix with BASH scripting is must
• Experience working with Kubernetes, Docker.
• Experience in Gitlab, Github or Bitbucket artifactory
• Packaging, deployment
• CI/CD pipeline experience (Jenkins is preferable)
• CI/CD best practices
Good to Have:
• Startup Experience
• Knowledge of source code management guidelines
• Experience with deployment tools like Ansible/puppet/chef is preferable
• IAM knowledge
• Coding knowledge of Python adds value
• Test automation setup experience
Qualifications:
• Bachelor's degree or equivalent experience in Computer Science or related field
• Graduates from IIT / NIT/ BITS / IIIT preferred
• Professionals with fintech ( stock broking / banking ) preferred
• Experience in building & scaling B2C apps preferred
Key Responsibilities
• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.
• Creating and managing build and release pipelines with Azure DevOps and Jenkins.
• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.
• Troubleshoot server performance issues & handle the continuous integration system.
• Automate infrastructure provisioning using ARM Templates and Terraform.
• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.
• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.
• Deploy and manage Infrastructure for production applications
• Configure security best practices for application and infrastructure
Essential Requirements
• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)
• Strong knowledge of CI/CD principles.
• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.
• Experience of writing automation scripts with PowerShell, Bash, Python, etc.
• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.
• Understanding of secure DevOps practices
Good to Have -
•Knowledge of scripting languages such as PowerShell, Bash
• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.
• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)
• Strong communication skills and ability to explain protocol and processes with team and management.
• Must be able to handle multiple tasks and adapt to a constantly changing environment.
• Must have a good understanding of SDLC.
• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.
• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.
• Organized, flexible, and analytical ability to solve problems creatively
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
Rules & Responsibilities:
- Design, implement and maintain all AWS infrastructure and services within a managed service environment
- Should be able to work on 24 X 7 shifts for support of infrastructure.
- Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
- Manage the production deployment and deployment automation
- Implement process and quality improvements through task automation
- Institute infrastructure as code, security automation and automation or routine maintenance tasks
- Experience with containerization and orchestration tools like docker, Kubernetes
- Build, Deploy and Manage Kubernetes clusters thru automation
- Create and deliver knowledge sharing presentations and documentation for support teams
- Learning on the job and explore new technologies with little supervision
- Work effectively with onsite/offshore teams
Qualifications:
- Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
- Experience in designing, implementing, and maintaining all AWS infrastructure and services
- Design and implement availability, scalability, and performance plans for the AWS managed service environment
- Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
- Hands-on technical expertise in Security Architecture, automation, integration, and deployment
- Familiarity with compliance & security standards across the enterprise IT landscape
- Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
- Solid understanding of AWS IAM Roles and Policies
- Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
- Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
- Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
- Experience in managing and working with the offshore teams
- Familiarity with CI/CD systems such as Jenkins, GitLab CI
- Scripting experience (Python, Bash, etc.)
- AWS, Kubernetes Certification is preferred
- Ability to work with and influence Engineering teams
MTX Group Inc. is seeking a motivated Lead DevOps Engineer to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.
Responsibilities:
- Be responsible for software releases, configuration, monitoring and support of production system components and infrastructure.
- Troubleshoot technical or functional issues in a complex environment to provide timely resolution, with various applications and platforms that are global.
- Bring experience on Google Cloud Platform.
- Write scripts and automation tools in languages such as Bash/Python/Ruby/Golang.
- Configure and manage data sources like PostgreSQL, MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc
- Build automation and tooling around Google Cloud Platform using technologies such as Anthos, Kubernetes, Terraform, Google Deployment Manager, Helm, Cloud Build etc.
- Bring a passion to stay on top of DevOps trends, experiment with and learn new CI/CD technologies.
- Work with users to understand and gather their needs in our catalogue. Then participate in the required developments
- Manage several streams of work concurrently
- Understand how various systems work
- Understand how IT operations are managed
What you will bring:
- 5 years of work experience as a DevOps Engineer.
- Must possess ample knowledge and experience in system automation, deployment, and implementation.
- Must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
- Experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, MySQL, and Git.
- Knowledge in handling distributed data systems. Examples: Elasticsearch, Cassandra, Hadoop, and others.
What we offer:
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
- Sum Insured: INR 5,00,000/-
- Maternity cover upto two children
- Inclusive of COVID-19 Coverage
- Cashless & Reimbursement facility
- Access to free online doctor consultation
- Personal Accident Policy (Disability Insurance) -
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of upto Rs. 1,000
- Opportunity to pursue Executive Programs/ courses at top universities globally
- Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others
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