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We are seeking qualified Senior DevOps engineers to join our growing Cloud Data Operations and services team in Bangalore, India, as we continue our rapid growth with an expansion of our Indian subsidiary, phData Solutions Private Limited. This expansion comes at the right time with increasing customer demand for data and platform solutions. In addition to the phenomenal growth and learning opportunities, we offer a competitive compensation plan, including base salary, annual bonus, training, certifications, and equity. As a Senior DevOps Engineer on our Consulting Team, you will be responsible for technical delivery for technology projects related to Snowflake, Cloud Platform (AWS/Azure/), and services hosted on Cloud. Responsibilities: Operate and manage modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack. Ability to learn new technologies in a quickly changing field Owns execution of Tasks and questions around Tasks other Engineers are working on related to the project. Responds to Pager Incidents. Solves hard and challenging problems. Goes deep into customer processes and workflows to solve issues. Demonstrate clear ownership of tasks on multiple simultaneous customer accounts across a variety of technical stacks. Continually grow, learn, and stay up-to-date with the MS technology stack. 24/7 rotational shifts Required Experience: Working knowledge of SQL and the ability to write, debug, and optimize SQL queries. Hand-on and strong knowledge in one of the native clouds (AWS/Azure). Should have contributed to designing and provisioning cloud service solutions and certified on any one cloud (AWS/Azure). Good understanding of writing and optimising Python programs. Experience in providing operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift). Experience with cloud-native data technologies in AWS or Azure. Hands-on on CI/CD tools like bitbucket and Github Proven experience learning new technology stacks. Strong troubleshooting and performance tuning skills. Client-facing written and verbal communication skills and experience. Open to learning new technology stacks and up-skill/training the other team members. Preferred Experience: Production experience and certifications in core data platforms such as Snowflake, AWS, Azure, or Databricks. Production experience working with Cloud and Distributed Data Storage technologies such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems. Production experience working with Data integration technologies such as Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, HVR, NiFi, AWS Data Migration Services, Azure DataFactory or others. Production experience working with Workflow Management and Orchestration such as Airflow, AWS Managed Airflow, Luigi, NiFi. Working experience with infrastructure as code using Terraform or Cloud Formation. Expertise in scripting language to automate repetitive tasks (preferred Python). Well versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket, Github, Flyway, Liquibase. Bachelor's degree in Computer Science or a related field Perks and Benefits Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement Professional Development Allowance Reimbursement of Skill Upgrade Certifications Certification Bonus
Posted 12 days ago
Develop and maintain full stack web and mobile applications.
Implement and automate robust backend API services.
Posted 12 days ago
Design and develop user-facing backend services and web applications.
Collaborate effectively with team members and stakeholders.
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Develop and maintain customer-facing applications and microservices on Kubernetes
Collaborate with cross-functional teams to document product and development details
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Hire a remote Principal AI Engineer
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Support critical infrastructure Manage device tools Provide desktop/laptop support Maintain
None
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Lead a team of engineers through ambiguity to solve problems
Collaborate with various stakeholders in product development
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Develop backend systems for credit decisioning.
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Leading the technical implementation of AI-driven data solutions
Translating customer needs into technical requirements
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Lead technical implementation and optimization of data platform
Serve as primary technical contact for key accounts
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Architect and maintain high-performance backend infrastructure
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Lead backend development for AI-powered data solutions
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Design and build scalable AI-driven backend systems
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Improve data infrastructure Optimize performance and accessibility Enable data-driven
g Collaborate with cross-functional teams Mentor and lead data
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Deliver high-quality software using Node.js and Angular.
Lead and mentor engineering teams in Agile environments.
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. Engage with developer community
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Building advanced AI systems powered by LLMs and intelligent agents
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Build and productionize advanced AI systems
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Build and productionize advanced AI systems
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Build and deploy scalable AI systems for production use.
Develop advanced multi-agent architectures and conversational AI.
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ion, Deploy production services, Drive thought
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Designing and delivering structured hands-on developer sprints focused on AI technologies.
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Lead and architect full-stack applications
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Provide technical leadership and hands-on development
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Lead software development team in technical design and project execution
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Monitor IAM and PAM platforms.
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Design and develop applications on Python stack and .Net Core
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Design, build, and maintain efficient, reusable code
Participate in Agile development process and ceremonies
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Lead a high-performing team in vulnerability detection and patch management.
Ensure security baselines and compliance standards are met.
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Develop and enhance web applications using Ruby on Rails, Elixir, and Phoenix
Write well-documented and structured code daily
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Support Windows systems infrastructure
Automate tasks using scripting languages
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Support and manage Windows infrastructure effectively
Automate daily tasks using scripting and programming languages
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Design and build high-quality applications using Microsoft stack
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Design and architect secure cloud network solutions.
Develop and enforce cloud network best practices.
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Lead and manage engineering teams in an agile environment
Recruit and develop high-performing teams
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Develop and enhance web applications using Ruby on Rails, Elixir, and Phoenix
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Supporting Windows infrastructure with automation
Utilizing cloud platforms for system management
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Design and build high-quality applications using the Microsoft stack
Collaborate with product managers, designers, and engineers for scalable solutions
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Design and oversee enterprise-wide data architecture
Develop strategies for data platforms and analytics
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Automate and manage Windows infrastructure
Leverage cloud and IaC technologies
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Lead vulnerability and patch management programs
Drive automation and operational excellence
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Design and develop efficient software solutions
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