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Subodh Popalwar
Software Engineer, Memorres
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JenkinsWe are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.
Responsibilities:
- Develop and maintain infrastructure using Ansible.
- Write Ansible playbooks.
- Implement CI/CD pipelines.
- Manage GitLab repositories.
- Monitor and troubleshoot infrastructure issues.
- Ensure security and compliance.
- Document best practices.
Qualifications:
- Proven DevOps experience.
- Expertise with Ansible and CI/CD pipelines.
- Proficient with GitLab.
- Strong scripting skills.
- Excellent problem-solving and communication skills.
Regards,
Aishwarya M
Associate HR
Kubernetes
DockerRequired Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
Amazon Web Services (AWS)
MongoDB-
Working with Ruby, Python, Perl, and Java
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Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
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Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
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Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
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Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
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Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
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Demonstrate awareness of DB management, server related work, Elasticsearch.
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Selecting and deploying appropriate CI/CD tools
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Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
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Experience working on Linux based infrastructure
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Awareness of critical concepts in DevOps and Agile principles
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6-8 years of experience
KubernetesDocker
Django
FlaskAbout the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
DockerJenkinsAmazon Web Services (AWS)Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Being involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Ensuring reliable operation of CI/ CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creating Docker files
- Creating Bash/ Python scripts for automation.
- Performing root cause analysis for production errors.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
KubernetesDockerAmazon Web Services (AWS)Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
DockerKubernetesPythonWe are looking for people with programming skills in Python, SQL, Cloud Computing. Candidate should have experience in at least one of the major cloud-computing platforms - AWS/Azure/GCP. He should professioanl experience in handling applications and databases in the cloud using VMs and Docker images. He should have ability to design and develop applications for the cloud.
You will be responsible for
- Leading the DevOps strategy and development of SAAS Product Deployments
- Leading and mentoring other computer programmers.
- Evaluating student work and providing guidance in the online courses in programming and cloud computing.
Desired experience/skills
Qualifications: Graduate degree in Computer Science or related field, or equivalent experience.
Skills:
- Strong programming skills in Python, SQL,
- Cloud Computing
Experience:
2+ years of programming experience including Python, SQL, and Cloud Computing. Familiarity with command line working environment.
Note: A strong programming background, in any language and cloud computing platform is required. We are flexible about the degree of familiarity needed for the specific environments Python, SQL. If you have extensive experience in one of the cloud computing platforms and less in others you should still, consider applying.
Soft Skills:
- Good interpersonal, written, and verbal communication skills; including the ability to explain the concepts to others.
- A strong understanding of algorithms and data structures, and their performance characteristics.
- Awareness of and sensitivity to the educational goals of a multicultural population would also be desirable.
- Detail oriented and well organized.
JenkinsDockerKubernetesAre you the one? Quick self-discovery test:
- Love for the cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion: When was the last time you went to a remote gas station while on vacation and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.
- Be the first one to experiment on new-age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
- Continually augment skills and learn new tech as the technology and client needs evolve
- Use your experience in the Google cloud platform, AWS, or Microsoft Azure to build hybrid-cloud solutions for customers.
- Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud-based technology and methods.
- Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
- Participate in technical reviews of requirements, designs, code, and other artifacts
- Identify and keep abreast of new technical concepts in the google cloud platform
- Security, Risk, and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance, and related areas.
Accomplishment Set
- Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
- Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
- Strong service attitude and a commitment to quality.
- Highly organised and efficient.
- Confident working with others to inspire a high-quality standard.
Experience :
- 4-8 years experience in Cloud Infrastructure and Operations domains
- Experience with Linux systems and/OR Windows servers
- Specialize in one or two cloud deployment platforms: AWS, GCP
- Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine, API Gateway, AppSync and ServiceMesh)
- Experience in one or more scripting language-Python, Bash
- Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
- Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)
- DevOps Technologies (AWS DevOps, Jenkins, Git, Maven)
- Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef, Packer
- Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
Education :
- Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
- To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
- 3-8 years of experience with hands-on experience in Cloud Computing (AWS/GCP) and IT operational experience in a global enterprise environment.
- Good analytical, communication, problem solving, and learning skills.
- Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.
JenkinsKubernetesBelow is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
Stay home and Stay safe
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Follow CutshortSubodh Popalwar
Software Engineer, Memorres