Multi Cloud Infra Technical Lead Job at Sopra Steria (Noida)

Cloud Infra Engineering Lead

The Infrastructure Technology Lead Analyst is a senior level position responsibl...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12-15 years of relevant experience in a Storage Operations role with sound knowledge of software defined storage and Cloud object storage
Proficient in software defined storage like Dell PowerFlex, power scale, and IBM cloud object storage, netapp StorageGrid solutions
Experience working in Financial Services or a large complex and/or global environment
Sound knowledge of RHEL operating system, VTM remediations/patch installation, firmware upgrades, and troubleshooting experience in a complex software defined storage estate and Cloud object storage estate
Design testing approaches, complex processes, reporting streams, and creating automation of repetitive tasks using shell scripting, Pearl scripting, C scripting, ansible and python scripts
Provide technical/strategic direction and act as advisor/coach to lower-level analysts
Perform hardware capacity forecasting, planning and utilization monitoring
To analyze and apply patches / code upgrade, enhancements and perform management tools upgrades
Apply new technology and processes to improve system operation, supportability, recoverability, availability and performance
Ensure compliance to Citigroup Information Technology Management Policies (CITMP) and Standards

Job Responsibility

Create complex project and task plans related to operational initiatives such as version upgrades, service improvement plans, perform impact analyses, solve/work high impact problems/projects, and provide resolution to restore services
Provide follow the sun operational support model related to SDS and Cloud object storage
Provide Root Cause Analysis (RCA) post restoration of service
Design testing approaches, complex processes, reporting streams, and assist with the automation of repetitive tasks
Provide technical/strategic direction to team members
Review requirement documents, define hardware requirements and update processes and procedures as necessary
Ensure ongoing compliance with regulatory requirements
Responsible for applications dealing with the overall operating system
Conduct project related research
Has the ability to operate with a limited level of direct supervision

Fulltime

AI Technical Lead

Make an impact with NTT DATA. Join a company that is pushing the boundaries of w...

Location

Vietnam , Hanoi

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years in software engineering, 2+ years leading AI/ML projects, with Product Mindset
Hands-on experience building LLM/RAG pipelines in production
Comfortable with cloud AI services and multi-service architectures
Experience with agent frameworks
Strong Development skills and API design fundamentals
Track record of mentoring engineers and running sprints
Able to communicate technical trade-offs to non-technical stakeholders
English or Japanese communication ability preferred

Job Responsibility

Architect multi-product AI systems: APIs, data flows, cloud infra, security
Design shared AI service layers (OCR, NLP, embeddings, document parsing)
Drive LLM/RAG/Agent pipeline design, prompt engineering, and model evaluation
Bridge Research PoCs into production-grade, deployable services
Own CI/CD pipeline health, code quality standards, and PR review process
Mentor engineers through code reviews and architecture discussions

Fulltime

Technology Consultant

The HPE Server & Storage Product Technical Consultant is responsible for designi...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

2–4 years in server/storage engineering or consulting with enterprise‑scale deployments
Proven delivery of data center refresh, storage consolidation, SAN modernization, backup modernization, and GreenLake engagements
Experience with BFSI, Government, Telco, Manufacturing in Malaysia/SEA
Comfortable leading cutovers and troubleshooting in change windows
Compute: HPE ProLiant, Synergy, iLO, OneView, COM
BIOS/power tuning
firmware/driver lifecycle
secure boot & TPM
Storage & Data Services: HPE Alletra (Block/File/Object), Nimble, Primera, StoreOnce, InfoSight, DSCC
block/file/object design and operations

Job Responsibility

Solution Architecture & Design
Implementation & Migration
Operations, Optimization & Health
Documentation & Compliance
Stakeholder Engagement & Practice Development

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Sr Software - Core Infrastructure

Senior Engineers at Uber have a deep impact across a wide variety of business an...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, with a focus on backend services, infrastructure, or distributed systems
Strong proficiency in Go, Java, or C++
Proven track record of building, deploying, and operating production services that handle high throughput and require 99.99% availability
Ability to debug complex issues across a distributed stack, from application code down to the networking or container layer
Strong technical writing skills for RFCs and design documents, with the ability to articulate technical trade-offs to stakeholders

Job Responsibility

Design & Scale Core Services: Build and maintain the next generation of infrastructure services (Compute, Networking, or Tooling) capable of supporting XM+ sustained concurrent trips
Drive Efficiency & Optimization: Contribute to large-scale initiatives to improve resource utilization (targeting 40%+ fleet utilization) and optimize unit costs across multi-cloud and on-prem environments
Enable Multi-Cloud Resilience: Develop features that support Uber's "Thrive in Cloud" strategy, ensuring seamless failover and active-active reliability across multiple cloud providers
Automate the Lifecycle: Build "AIOps" and agentic automation tools to reduce manual operational load, aiming to automate incident response and alert triaging
Collaborate Across Infra: Work cross-functionally with Storage, Data, and Product teams to ensure infrastructure is a seamless enabler for business growth (e.g., scaling for AI/ML workloads)
Mentor & Execute: Lead by example with high-quality code and rigorous testing, while providing technical mentorship to help mid-level engineers grow

What we offer

Bonus program
Equity award
Other types of comp
Eligibility to participate in a 401(k) plan
Various benefits

Fulltime

Java Application Development Lead-Vice President

We are looking for a committed individual who can work in a fast paced environme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of experience in technology development and design
Expertise and hands on in one or more of the core areas of – Java Tech Stack (Java, JDK, JSP, Spring Boot) / Database / Mainframe / OS / Cloud / Angular/Information Security/Cyber Security
Infra Expertise of the systems- WebSphere/Tomcat/JBPM/Solace/MQ/Oracle(ORAS)/RHEL/NDM/Sonarcube
Ability to understand and contribute to infra layout, architecture designs, system vulnerability resolutions
Working on large migration plans is a definite plus – Oracle upgrade / OS upgrades / Cloud Migration, etc
Ability to evaluate tools available in market for vulnerability identification / SecOPs or Build tools in-house
Explore automation opportunities to reduce manual errors
Experience in managing application teams in Financial Service Industry
Proven Stakeholder and people management experience
Knowledge of industry standards and practices

Job Responsibility

Have an oversight of key strategic initiatives within safety and soundness domain
Support the Architecture team in the formulation of best practice and apply agreed methodologies
Must be able to drive technical POCs and establish a template for Development Teams to follow
Responsible for the complete process of providing technology solutions (across the design, modification and exit of products), including solutions provided from other teams or from third parties
Manage one or more Tech Staff to accomplish agreed goals
Review and manage tech solutions proposed by the team and provide tech oversight across systems / applications
Do appropriate risk assessment and take timely decisions in the interest of projects and organization as a whole
Drive the initiatives to closure within agreed timelines and in high quality
Demonstrate Tech Leadership and ability to multi task
Must be able to drive technical POCs and establish a template for Development Teams to follow

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Palo Alto

Salary:

90000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Consultant - AI & Infra

Microsoft Industry Solution - Global Center for Innovation and Delivery (GCID) d...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

9+ years of overall IT industry experience with at least 5+ years of handson expertise in Azure Infrastructure architecture, design, and operations.
Bachelor’s degree in computer science, Engineering, or equivalent professional experience
advanced technical certifications or higher education preferred.
Mandatory Microsoft Azure Administrator certification (AZ104)
Azure Solutions Architect Expert (AZ305) highly preferred.
Terraform Associate certification strongly valued, with proven experience in InfrastructureasCode (IaC) automation.
Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage, with practical understanding of AI/ML workloads on cloud platforms.
Experience across both application architecture and cloud infrastructure domains, with the ability to bridge development and operations teams effectively.
Professional certifications in Delivery Management methodologies (Scrum, Agile, ITIL, Change/Project Management) considered a strong advantage.
Proficiency in Python for automation, AI integration, and scripting across infra workflows

Job Responsibility

As a full Stack Infrastructure Consultant, design, build, and optimize endtoend cloud and onpremises infrastructure solutions, ensuring secure, scalable, and highperforming environments across the entire technology stack.
Collaborate with the customer/partner team of Chief Information Officers (CIOs), other C-level executives, and technical and business decision-makers to align customer vision with solutions.
Manages risk and Services business goals within engagements.
Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables delivery technology strategy aligned solutions
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
Applies information-compliance and assurance policies to ensure stakeholder confidence.
Identifies new processes and innovations to help customers or partners build and accelerate capabilities by using Microsoft technologies.
Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft.
Defines engagements and opportunities to use Intellectual Property (IP) and address product gaps, while leveraging existing IP and community resources to ensure consistency and improve predictability.
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

Fulltime

Select Country

Multi Cloud Infra Technical Lead

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?