Amazon Web Services (AWS)ob Description
Job Requirement:
-
Experience with OKTA planning, implementation, and operations
-
Configure Okta to provide enterprise Single Sign-On services and enable Multi-Factor Authentication (MFA) platform features for internal and external applications
-
Identify required attributes, customizing log in pages and implement security policies
-
Follow SDLC, change management and document the procedures on OKTA solutions to meet compliance requirements
-
Hands on experience supporting and assisting users with access issues.
-
Assess integration opportunities from technical perspective and provide solutions
-
Anticipate, identify, track and resolve technical issues
-
Experience in integrating Okta with on-premises directory and Cloud.
-
Experience with Cloud technologies (Google Cloud Platform, Azure or AWS)
-
Understanding of cloud computing architecture, technical design and implementations, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models
-
Experience in various authentication standards such as Security Assertion Markup Language (SAML), OAuth and OpenID Connect
-
Experience with various LDAP products including Active Directory and Azure
-
Familiarity with SCIM and knowledge of various API authentication standards
-
Mentoring and training others in the use and functionality of the Okta SaaS products including MFA and ensuring analysis, design, implementation, and support artifacts meet or exceed established Service Level objectives
-
Experience working in Agile development environments
-
Expertise in OKTA, Access Gateway, Single Sign-On, Adaptive MFA, Universal directory, Advanced Server Access, API Access Management, Secure authentication, access management systems, Identity as a Service (IDaaS), WS-Federation, OAuth, OpenID Connect
-
Qualifications
Required Education & Experience
-
5+ years of experience in implementing, integrating, and supporting Okta's cloud technologies
-
5+ years of experience in implementing Active Directory and Azure AD technologies
-
Ability and willingness to develop creative solutions to business problems and work well within a team environment
-
Must have good communication and collaboration skills
-
Solid diagnostic, testing, and problem-solving skills
-
Good organizational and time management skills
-
Must be team-oriented and able to collaborate across many participating teams
Preferred Candidate
-
Okta Certified Professional or Okta Certified Administrator or Okta Certified Consultant certification
-
Experience with Identity Governance Products (SailPoint, Oracle, Saviynt etc.)
-
Experience with Privileged Access Management (CyberArk, BeyondTrust, Thycotic etc.)
-
Experience with Linux and Windows Operating Systems
Work Location : India/Remote
Work Timing : 6:00 PM 3:00 AM IST (US Shift)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Codvoai
About
At Codvo, we accelerate Cloud, AI, and Transformation roadmaps while offering most satisfying mix of work-life balance, quality of living, and cutting edge work to our employees.
We deliver value through our unique "Virtual Silicon Valley" model where we bring seasoned experts and global talent together as a Product Oriented Deliver (POD) unit to successfully deliver on your next roadmap priorities.
Our “Virtual Silicon Valley” PODs deliver better success and speed because they are self-managed, have right expertise mix, and most importantly are aligned to work in your time zone. The goal is to balance speed, expertise mix, and cost while ensuring the success of core product development, design, and transformation activities.
We are proud to have our customers ready to vouch for us and share their success stories. Our teams of scientists, engineers, architects, and designers have helped AI-driven companies, fast-growing Fintechs, Wealth Management & Healthcare startups, Energy companies, and US Defense contractors accelerate their product and transformation roadmaps.
Photos
Connect with the team
Company social profiles
Similar jobs
- Provide technology strategy planning
- Integrate information technologies into the company for optimal effectiveness
- Understand current and future business goals and ongoing IT issues to ensure business success
- Develop a renewal and upgrade schedule for company software programs
- The candidate will be responsible to start and complete projects on a scheduled basis, inclined to maintain highest standard of quality.
- Analyzing scope of work, project sequencing, resource planning, time estimation, scheduling, cost estimation, risk analysis are a set of responsibilities.
- Monitor project performance and take proactive action to ensure projects are adhering to timelines set.
Execute marketing campaigns through FB Ads ensuring high ROAS
Optimize campaigns to achieve the best ROI & meet targets
Handle various campaign: conversion, website clicks, traffic, remarketing, etc.
Conduct A/B testing on campaigns to improve ROI
Docker
KubernetesAmazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate Senior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable 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 non-production 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, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 4 to 7 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 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
PHP
jQuery
CodeIgniter
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)● 3+ years of experience with any cloud infrastructure (AWS/Azure/GCP)
● Must have Cloud application backend programming experience with any of the modern languages -Java/Node JA/GoLang/Rust.
Built a collaboration platform - messaging, voice, video - to be used in mobile apps, web etc.
● Good understanding of Docker and Kubernetes deployments
● Hands-on experience with one or more modern programming languages-Java/Node JS.GoLang/Python/Rust
● Good understanding of linux and associated tools.
As a Product Manager, you will collaborate with a cross-functional team of designers, developers, and quality assurance analysts to execute on a portfolio of complex projects related to designing the next generation of our B2C and B2B offerings.
This position is based out of our swanky Gurugram head office.
Ability to manage work in a fast-paced environment and not minding getting their hands dirty is a must.
Location: Gurugram
A successful candidate for this role will have 0 to 3 years of relevant experience in delivering and managing industry-first products and platforms, with a strong user focus, excellent project management skills, delivering impeccable BRDs and PRDs, and a motivation to achieve results in a fast-paced environment. They should be well-accustomed to project management tools like JIRA, Confluence, etc.
Role requirements:
1. Utilization of agile methodologies: to define requirements, prioritize features, provide business guidance, and perform acceptance testing, for newly-developed products as well as enhancements to existing products
2. Understanding data and analytics and using that as a focal point for all deliveries is a must.
3. Proven ability to work in cross-functional environments including digital sales, marketing, business management, and design and engineering teams.
4. Takes responsibility as the Product Owner/ Champion of the assigned product/ module and is the go-to person for any solutions/requirements in the assigned area.
5. Ability to develop quick partnerships with 3rd party systems and integrate their API's to enhance a company's product capabilities faster.
6. Ensure UAT and QA checks on every product release.
7. Make sure OKRs and timelines are met without impacting the quality of product or its release.
JenkinsDockerKubernetes
GitMLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
Data Science
R Programming
Pythonculture and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP
(PhD work and internships will be considered if they are related to unstructured text
in lieu of industry experience but not more than 2 years will be accounted towards
industry experience)
• Develop Natural Language Medical/Healthcare documents comprehension related
products to support Health business objectives, products and improve
processing efficiency, reducing overall healthcare costs
• Gather external data sets; build synthetic data and label data sets as per the needs
for NLP/NLR/NLU
• Apply expert software engineering skills to build Natural Language products to
improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining,
information retrieval techniques, machine learning approach, distributed and cloud
computing platforms
• Own the Natural Language and Text Mining products — from platforms to systems
for model training, versioning, deploying, storage and testing models with creating
real time feedback loops to fully automated services
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT
teams and Business stakeholders spread out across various locations in US and India
to achieve business goals
• Provide mentoring to other Data Scientist and Machine Learning Engineers
• Strong understanding of mathematical concepts including but not limited to linear
algebra, Advanced calculus, partial differential equations and statistics including
Bayesian approaches
• Strong programming experience including understanding of concepts in data
structures, algorithms, compression techniques, high performance computing,
distributed computing, and various computer architecture
• Good understanding and experience with traditional data science approaches like
sampling techniques, feature engineering, classification and regressions, SVM, trees,
model evaluations
• Additional course work, projects, research participation and/or publications in
Natural Language processing, reasoning and understanding, information retrieval,
text mining, search, computational linguistics, ontologies, semantics
• Experience with developing and deploying products in production with experience
in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the following
cloud vendors like AWS, Azure, and Google for 2+ years
• Hands on experience with one or more of high-performance computing and
distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)
• Thorough understanding of deep learning architectures and hands on experience
with one or more frameworks like tensorflow, pytorch, keras (2+ years)
• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP,
Genism, johnsnowlabs for 5+ years
• Understanding business use cases and be able to translate them to team with a
vision on how to implement
• Identify enhancements and build best practices that can help to improve the
productivity of the team.
Good communication skills
Should be comfortable working in target-oriented role
JavascriptPython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon