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Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.
Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics
2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.
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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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
Hiring for the below position with one of our premium client
Role: Senior DevOps Engineer
Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
Bachelor's degree in Computer Science or a related field, or equivalent work experience
Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform
Experience with infrastructure as code tools such as Terraform or CloudFormation
Proficiency in scripting languages such as Python, Bash, or PowerShell
Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Willingness to learn new technologies and tools as required
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

at Altimetrik
Java with cloud
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Core Java, SpringBoot, MicroServices |
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- DB2 or any RDBMS database application development |
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- Linux OS, shell scripting, Batch Processing |
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- Troubleshooting Large Scale application |
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- Experience in automation and unit test framework is a must |
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- AWS Cloud experience desirable |
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- Agile Development Experience |
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- Complete Development Cycle ( Dev, QA, UAT, Staging) |
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- Good Oral and Written Communication Skills |
Requirements:-
- Bachelor’s Degree or Master’s in Computer Science, Engineering,Software Engineering or a relevant field.
- Strong experience with Windows/Linux-based infrastructures, Linux/Unix administration.
- knowledge of Jira, Bitbucket, Jenkins, Xray, Ansible, Windows and .Net. as their Core Skill.
- Strong experience with databases such as SQL, MS SQL, MySQL, NoSQL.
- Knowledge of scripting languages such as Shell Scripting /Python/ PHP/Groovy, Bash.
- Experience with project management and workflow tools such as Agile, Jira / WorkFront etc.
- Experience with open-source technologies and cloud services.
- Experience in working with Puppet or Chef for automation and configuration.
- Strong communication skills and ability to explain protocol and processes with team and management.
- Experience in a DevOps Engineer role (or similar role)
- AExperience in software development and infrastructure development is a plus
Job Specifications:-
- Building and maintaining tools, solutions and micro services associated with deployment and our operations platform, ensuring that all meet our customer service standards and reduce errors.
- Actively troubleshoot any issues that arise during testing and production, catching and solving issues before launch.
- Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
- Deploy product updates as required while implementing integrations when they arise.
- Automate our operational processes as needed, with accuracy and in compliance with our security requirements.
- Specifying, documenting and developing new product features, and writing automating scripts. Manage code deployments, fixes, updates and related processes.
- Work with open-source technologies as needed.
- Work with CI and CD tools, and source control such as GIT and SVN.
- Lead the team through development and operations.
- Offer technical support where needed, developing software for our back-end systems.
- Experience working on Linux based infrastructure
- Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
- Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
- Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
- Awareness of critical concepts in DevOps and Agile principles
DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!
Hello superstar,
I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......
I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.
I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;
- We choose the most appropriate technology
- We choose competent developers in those technologies
- The architecture and data modeling are clearly defined in a ‘blueprint’ plan
- A DevOps environment and processes are set up and the developers understand what is required
- Proper tests are carried out to ensure everything works as intended
- There are processes for testers to follow and competent testers are selected to follow them
- Accessibility, localization, and internationalization are planned ahead of time
- Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
- Documentation and code reviews, refactoring and other quality assurance processes are undertaken
- Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
- Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications
I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.
Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response. I look forward to hearing from you.
Warm wishes DevOps Evangelist,
Your skills and experience should cover:
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5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
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Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
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5+ years of experience using one or more modern programming languages (Python, Node.js).
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Hands-on experience migrating data to the AWS cloud platform
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Experience with Scrum/Agile methodology.
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Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
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Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
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Experience working with GIT, or similar tools.
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Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
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Experience with Docker
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Experience with PostgreSQL database


