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Position Name: DevSecOps Engineer
Job type: Contract (3 months & extendable)
Location: Bangalore & Hybrid
Experience: 5+ years’ experience required
Roles & Responsibilities:
Experienced DevOps engineer on AWS Cloud Platform and Azure Cloud Platform
Experienced DevOps engineer on GitHub, Jenkins, Nexus Repository, SonarQube and Fortify
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Establish CI/CD pipeline for Java, React and Angular container based applications to Kubernetes
clusters on AWS environments using Jenkins, HELM charts Nexus Repo, SonarQube and Fortify
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Strong hands-on Branching Strategies
Strong hands-on HELM charts – able to design HELM chart for multiple microservices
Expertise in defining and creating Approval workflows for deployments to different AWS
environments
Partner with the rest of engineering to improve stability, performance, and maintainability of
systems and infrastructure
Drive and support devops needs for development initiatives
Preferred Skills:
Hands-on experience setting up CI/CD pipelines using Jenkins
Hands-on experience setting up HELM Charts
Hands-on experience on Kubernetes clusters
Programming background with AWS CLI
Experience creating pipelines to publish containers to AWS EKS platform
Experience with build technologies like nuget, maven, SonarQube and all dependent plugins to
build and test applications
Source control system experience especially with GitHub
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About LION AND ELEPHANTS CONSULTANCY PRIVATE LIMITED
About
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Key Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting
Multiplier enables companies to employ anyone, anywhere in a few clicks. Our
SaaS platform combines the multi-local complexities of hiring & paying employees
anywhere in the world, and automates everything. We are passionate about
creating a world where people can get a job they love, without having to leave the
people they love.
We are an early stage start up with a "Day one" attitude and we are building a
team that will make Multiplier the market leader in this space. Every day is an
exciting one at Multiplier right now because we are figuring out a real problem in
the market and building a first-of-its-kind product around it. We are looking for
smart and talented people who will add on to our collective energy and share the
same excitement in making Multiplier a big deal. We are headquartered in
Singapore, but our team is remote.
What will I be doing? 👩💻👨💻
Owning and managing our cloud infrastructure on AWS.
Working as part of product development from inception to launch, and own
deployment pipelines through to site reliability.
Ensuring a high availability production site with proper alerting, monitoring and
security in place.
Creating an efficient environment for product development teams to build, test
and deploy features quickly by providing multiple environments for testing and
staging.
Use infrastructure as code and the best of methods and tools in DevOps to
innovate and keep improving.
Create an automation culture and add automation to wherever it is needed..
DevOps Engineer Remote) 2
What do I need? 🤓
4 years of industry experience in a similar DevOps role, preferably as part of
a SaaS
product team. You can demonstrate the significant impact your work has had
on the product and/or the team.
Deep knowledge in AWS and the services available. 2 years of experience in
building complex architecture on cloud infrastructure.
Exceptional understanding of containerisation technologies and Docker. Have
had hands on experience with Kubernetes, AWS ECS and AWS EKS.
Experience with Terraform or any other infrastructure as code solutions.
Able to comfortably use at least one high level programming languages such
as Java, Javascript or Python. Hands on experiences of scripting in bash,
groovy and others.
Good understanding of security in web technologies and cloud infrastructure.
Work with and solve problems of very complex nature and enjoy doing it.
Willingness to quickly learn and use new technologies or frameworks.
Clear and responsive communication.
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)
CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
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Platform Services Engineer
DevSecOps Engineer
- Strong Systems Experience- Linux, networking, cloud, APIs
- Scripting language Programming - Shell, Python
- Strong Debugging Capability
- AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
- Knowledge on Terraform, Packer, Ansible, Jenkins
- Observability - Prometheus, InfluxDB, Dynatrace,
- Grafana, Splunk • DevSecOps-CI/CD - Jenkins
- Microservices
- Security & Access Management
- Container Orchestration a plus - Kubernetes, Docker etc.
- Big Data Platforms knowledge EMR, Databricks. Cloudera a plus
- 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
- At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
- At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
- Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
- Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
- Strong know-how on VA/PT integration in CI/CD pipeline.
- Experience in handling financial solutions & customer-facing applications
Roles
- Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
- Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
- Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
- Maximize automation and enhance DevSecOps pipelines and other tasks
- Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
- Operate and support a suite of enterprise DevSecOps services
- Implement security automation to decrease the loop between the development and deployment processes.
- Support project teams to adopt & integrate the DevSecOps environment
- Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
- Coordinate with development and operations teams for practical automation solutions and custom flows.
- Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
- Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
- Build workflows to ensure a successful DevSecOps journey for various enterprise applications.
- Understand the strategic direction to reach business goals across multiple projects & teams
- Collaborate with development teams to understand project deliverables and promote DevSecOps culture
- Formulate & deploy cloud automation strategies and tools
Skills
- Knowledge of the DevSecOps culture and principles.
- An understanding of cloud technologies & components
- A flair for programming languages such as Shell, Python, Java Scripts,
- Strong teamwork and communication skills.
- Knowledge of threat modeling and risk assessment techniques.
- Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
- An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
- Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
- On the job learning for new programming languages, automation tools, deployment architectures
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We 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.
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• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
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