Aveva

3 months ago

Senior Software Engineer - AI Platform & Cloud Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join the Core AI Services team to design, develop, and scale cloud-native AI platform services and public APIs that enable AI adoption across AVEVA’s product portfolio. Work in a Scrum environment to build secure, reliable MLOps-enabled pipelines, APIs, and tooling on Azure, mentor developers, and drive engineering excellence with a startup-like agility.

Location: Bengaluru, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
•Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
•Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
•Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
•Embed robust security controls to protect sensitive data and ensure secure access to AI services.

Pay and Benefits

Perks:GratuityHealth InsuranceDentalEducation AssistanceHome OfficeWell-being

Key Requirements

•Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
•Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
•Proficient in securing APIs, managing authentication/authorization and data privacy practices.
•Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes.
•Experience with Large Language Models (LLMs) and trade-offs between performance, cost, and capability.

Experience:AICloudIndustrial softwareMLOps

Skills:API designRESTSecurityOAuthJWTAzureDockerKubernetes.NETC#MLOpsPython

Tech Stack:AzureDockerKubernetesREST API.NETC#MLOpsLLMs

Company Brief

Aveva

Provides industrial software for engineering, design, and information management across industries including oil & gas, manufacturing, and utilities. Delivers solutions for digital transformation, asset performance, and operations optimization.

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn

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Aveva

3 months ago

Senior Software Engineer - AI Platform & Cloud Services

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
•Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
•Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
•Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
•Embed robust security controls to protect sensitive data and ensure secure access to AI services.

Pay and Benefits

Perks:GratuityHealth InsuranceDentalEducation AssistanceHome OfficeWell-being

Key Requirements

•Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
•Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
•Proficient in securing APIs, managing authentication/authorization and data privacy practices.
•Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes.
•Experience with Large Language Models (LLMs) and trade-offs between performance, cost, and capability.

Experience:AICloudIndustrial softwareMLOps

Skills:API designRESTSecurityOAuthJWTAzureDockerKubernetes.NETC#MLOpsPython

Tech Stack:AzureDockerKubernetesREST API.NETC#MLOpsLLMs

Company Brief

Aveva

Industry: Industrial Automation

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1967

Glassdoor: 3.6

Website LinkedIn