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

Principal Consultant A2 - Infra

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

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related field AND 3+ years leadership experience in relevant area of business. Higher Education Preferred
OR master’s degree in computer science, Information Technology, Engineering, or related field AND 6+ years’ experience in technology solutions, practice development, architecture, consulting, and/or Cloud Infrastructure domain
Highly proficient & solid Customer facing Project experience involving solution design, project envisioning, planning, development, and deployment of complex solutions with minimum of 10 plus years
Must have a proven record of delivering technical solutions
2+ years managing multiple projects or portfolios
1+ year(s) experience leading blended, multidisciplinary teams
Preferred Qualifications: Overall minimum 20+ Year of industry experience
Technical or Professional Certification in Cloud Infrastructure domain
Open to travel domestically and internationally and work with different cultures and customers
Technical certifications based on domain/service line (e.g., Azure, Security, Dynamics)

Job Responsibility

AI-First Delivery Leadership: Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence: Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Fulltime

Senior Staff Software Engineer, Cloud Proxy

We are seeking a Senior Staff Engineer in Temporal's Cloud Global Services team ...

Location

United States

Salary:

230000.00 - 290000.00 USD / Year

Temporal

Expiration Date

Until further notice

Requirements

Proven experience architecting and delivering high-availability, security-critical networking or proxy systems
Deep understanding of authentication/authorization patterns (OIDC-OpenID Connect on top of OAuth), mTLS, JWT-JASON Web Token, custom identity integrations)
Expertise in data encryption at rest and in transit, including envelope encryption and key management
Strong proficiency in Go or a comparable systems programming language
Familiarity with distributed systems, RPC frameworks (gRPC), and cloud networking patterns
Track record of leading complex, multi-team technical initiatives to successful delivery
Ability to navigate ambiguity, define vision, and create alignment
Experience influencing technical direction across organizational boundaries

Job Responsibility

Define and drive the architecture for a unified, pluggable proxy framework
Establish technical standards for authentication, authorization, encryption, and observability across proxy implementations
Evaluate and integrate existing customer-built, S2S, and Cloud Auth proxies into a single supported solution
Translate high-level business and security requirements into technical designs
Ensure proxy meets Tier 0 workload reliability, security, and performance standards
Partner with Product, Security, and Customer Success to align roadmap with customer needs
Work closely with Infra Foundations, Security, OSS Server, and CGS teams
Engage directly with strategic customers to understand and incorporate their requirements
Mentor other engineers on distributed systems architecture, networking, and security
Drive the open-source development model, ensuring code quality, documentation, and extensibility

What we offer

Unlimited PTO, 12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more
$3,600 / Year Work from Home Meals
$1,500 / Year Career Development & Learning
$1,200 / Year Lifestyle Spending Account
$1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment)
$500 / Year Professional Memberships

Fulltime

Senior Technical Program Manager, Infrastructure

Glean is seeking a Senior Infrastructure Technical Program Manager (TPM) to lead...

Location

United States , Palo Alto

Salary:

198000.00 - 235500.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Engineering, or a related technical field
8-10+ years of experience in technical program management, infrastructure, or SRE, with at least 3-5 years managing infra or platform-scale programs
Proven success delivering cross-functional infrastructure programs in B2B or enterprise environments where scalability, uptime, and performance are critical
Experience working closely with Infra, SRE, and ML/AI teams on distributed systems or data infrastructure
Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems
Ability to structure complex multi-quarter infrastructure programs with clear milestones and measurable impact
Strong written and verbal communication and ability to manage through ambiguity, anticipate scaling challenges, and align teams across priorities
Builder mindset with focus on automation, reliability, and efficiency

Job Responsibility

Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads
Partner with Engineering to define standards for environment provisioning, deployment automation, and configuration governance
Develop and operationalize frameworks for runtime health, scaling, and disaster recovery
Drive consistency and automation across deployment orchestration systems
Establish clear metrics for reliability, performance, and cost efficiency
Coordinate cross-team delivery of high-impact programs such as data pipeline scalability, LLM infrastructure expansion, or infra observability improvements
Communicate program status and technical risks effectively to leadership and stakeholders
Continuously identify process or system bottlenecks, and drive automation to improve speed and reliability of infra operations

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Senior Consultant - 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
At least 5+ years of hands-on expertise in Azure Infrastructure architecture, design, and operations
Bachelor’s degree in computer science, Engineering, or equivalent professional experience
Mandatory Microsoft Azure Administrator certification (AZ104)
Azure Solutions Architect Expert (AZ305) highly preferred
Terraform Associate certification strongly valued, with proven experience in Infrastructure-as-Code (IaC) automation
Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage
Experience across both application architecture and cloud infrastructure domains
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

Job Responsibility

Design, build, and optimize end-to-end cloud and on-premises infrastructure solutions
Collaborate with customer/partner team of CIOs, other C-level executives, and technical and business decision-makers
Manage risk and Services business goals within engagements
Responsible for technical quality assurance, identification, and mitigation of technical risk
Apply technical experience and industry-specific knowledge to develop solutions
Apply information-compliance and assurance policies
Identify new processes and innovations to help customers or partners build and accelerate capabilities
Identify the best practice approach for a project
Define engagements and opportunities to use Intellectual Property (IP) and address product gaps
Drive new ways of thinking to improve quality, engineering productivity, and responsiveness

Fulltime

New

Senior Lead Programmer

Location

United States , Shrewsbury

Salary:

Not provided

Ventois

Expiration Date

Until further notice

Requirements

Minimum of a Bachelor’s degree in Information Technology, Computer Science, Computer Information Systems or a combination of education and experience equating to the U.S. equivalent of a bachelor’s degree in one of the aforementioned subjects

Job Responsibility

Design, build, and run large-scale Customer Communications Management (CCM) solutions on OpenText Communications (Exstream) Cloud Native (CN)
Design communications in Communications Designer
model flows in Communications Orchestrator
enable business-side edits in Content Author with robust approval workflows
Assess existing server-based/legacy packages (including PUB-based apps)
Execute redesigns or rationalized lift-and-shift where appropriate
leverage CN accelerators (e.g., docx/PDF design importers, component export/import via DAS)
Engineer high-volume/bulk and interactive/on-demand outputs
profile engine throughput
partner with infra on Kubernetes scaling, HA/DR, and resource tuning (CPU/memory/vCores)

New

Principal Research Engineer

As a Principal Research Engineer at Microsoft, you will set the technical vision...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Define and execute technical strategy for foundational models, multi-agent systems, and next-generation Copilot experiences, especially within Business & Industry Copilot
Lead cross-team efforts to deliver scalable, reliable, and responsible AI systems
Advance the state of the art and translate breakthroughs into measurable customer and business impact
Architect and deliver complex AI systems across model development, data, infra, evaluation, and deployment spanning multiple product lines
Set technical direction for large programs
drive alignment across Research, Engineering, and Product
Integrate LLMs, multimodal models, multi-agent architectures, and RAG into Microsoft’s ecosystem
Establish best practices for MLOps, governance, and Responsible AI, compliant with Microsoft principles and industry standards
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities

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 - 300000.00 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 , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 - 300000.00 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

Multi Cloud Infra Technical Lead

Sopra Steria

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
June 11, 2025

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Job Posted:June 11, 2025

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