Jobs at Tarento Technologies Pvt Ltd.

Manage and secure AWS production environments across EKS, ECS, and EC2. Build secure CI/CD pipelines, administer cloud networking and IAM, monitor systems, troubleshoot incidents, perform root cause analysis, and implement vulnerability scanning and compliance controls. The role promotes security-by-design, high availability, observability, and SRE-driven reliability while collaborating with development and QA teams.

Coordinate software development projects from estimation through deployment. Responsibilities include facilitating stand-ups, tracking and prioritizing the development pipeline, gathering estimates, following up on tasks, removing blockers, coordinating testing and production releases, preparing deployment reports, and maintaining accountability across cross-functional teams.

Lead IT operations for a 500-person organization and manage a team of 5–8 professionals. Own infrastructure, networks, cloud platforms, IT service management, end-user computing, DevOps tooling, cybersecurity, compliance, vendor relationships, budgets, and technology governance. Drive automation, AIOps, cost optimization, business continuity, incident management, reporting, and continuous service improvement while partnering with executives, clients, and cross-functional teams.

Provides L2/L3 support and administration across servers, networks, cloud platforms, Microsoft 365, endpoints, security controls, and IT service management. Manages Azure resources, identity, infrastructure, devices, licensing, patching, monitoring, and vendor coordination. Supports incident resolution, root-cause analysis, documentation, compliance audits, vulnerability remediation, CI/CD monitoring, and automation initiatives. Works with the IT Operations Lead to maintain reliable, secure, and efficient technology operations.

Drive supply chain business transformation initiatives through requirements analysis, documentation, and stakeholder management. Develop detailed user stories, acceptance criteria, functional specifications, and technical artifacts while supporting onshore teams. Collaborate with developers, testers, and business analysts to deliver solutions involving inventory management, demand planning, procurement, logistics, and ERP/SCM systems.

Leads DevOps, platform engineering, cloud infrastructure, automation, reliability, security, service management, and technology operations. Oversees CI/CD, infrastructure as code, containers, multi-cloud environments, monitoring, incident response, compliance, vendor management, budgeting, and team development. Drives platform availability, deployment velocity, cost optimization, operational governance, and continuous improvement across technology teams.

Design and implement scalable data architectures, models, pipelines, integrations, and cloud data platforms using Azure and Databricks. Translate stakeholder requirements into analytics, AI, and operational solutions while ensuring data quality, governance, security, performance, and scalability. Collaborate with data engineers, data scientists, and business teams to support machine learning, Generative AI, supply-chain, and enterprise data modernization initiatives.

Build and own full-stack features using React, JavaScript or TypeScript, .NET Core, REST APIs, and Azure services. Develop responsive interfaces, backend APIs, and integrations with Azure Functions, App Service, Service Bus, APIM, and Cosmos DB. Apply clean architecture, unit testing, and code-quality practices while collaborating with product and engineering teams. Preferred experience includes event-driven architecture, microservices, Azure DevOps CI/CD, Bicep-based infrastructure, and retail or supply-chain domains.

Define end-to-end architecture for scalable .NET platforms using cloud-native, microservices, distributed, and event-driven designs. Lead technical strategy across teams, review high-risk changes, mentor engineers, and guide scalability, resilience, performance, and security. Provide direction for Azure, Kubernetes, containerization, DevOps, CI/CD, and observability. Evaluate technologies and establish architectural patterns while remaining hands-on enough to validate designs and implementation.

Lead end-to-end architecture for scalable, secure .NET systems running on Kubernetes. Define cloud-native microservices patterns, reference architectures, technology standards, and Kubernetes strategies. Review designs, guide multiple engineering teams, mentor architects, and ensure scalability, resilience, performance, security, observability, CI/CD, infrastructure as code, and platform reliability in collaboration with product, security, infrastructure, DevOps, and SRE stakeholders.

Lead large-scale government and public-sector digital transformation programs from strategy through delivery. Establish governance, roadmaps, PMO practices, reporting, and risk controls while managing budgets, milestones, dependencies, vendors, and multiple workstreams. Engage senior government and client stakeholders, lead executive reviews, advise on technology adoption and process improvement, and mentor cross-functional consulting, technology, product, and operations teams.

Lead end-to-end architecture and develop scalable backend microservices using Java or Python. Design for high throughput, low latency, and fault tolerance; optimize performance with caching, sharding, load balancing, and concurrency. Define SLOs and SLIs, improve observability, lead incident response and root-cause analysis, and implement preventive engineering practices. Mentor engineers and promote strong development standards across distributed systems and production services.

Manage IT infrastructure across Windows, Linux, and macOS environments, including hardware procurement, deployment, asset tracking, system availability, Microsoft 365 administration, Intune, Autopilot, Defender, Exchange Online, SharePoint backup, Entra ID, Active Directory, and endpoint security. Responsibilities include troubleshooting, patching, monitoring, incident response, vendor coordination, documentation, audits, disaster recovery support, and employee onboarding and offboarding.

Contribute to end-to-end product design, including user problem analysis, flow mapping, interface design, visual assets, design reviews, documentation, and handoff preparation. The intern will work with experienced designers on real product and client projects, receive mentorship and feedback, and explore AI-assisted design tools. The role is intended for design students completing academic or industry internships.

Designs scalable enterprise AI services and architectures, establishes AI architecture standards, and embeds security, privacy, compliance, and ethics into solutions. The role leads AI roadmap planning, translates business needs into technical designs, oversees data pipelines and model deployment, performs light coding and technical reviews, and advises leadership. Requires Azure, Python, data science, machine learning, AI/ML platform architecture, and model lifecycle experience.

Lead SAP Business AI and Joule consulting assignments from discovery through delivery shaping. Identify enterprise AI use cases, translate business-process needs into SAP-native solutions, shape architectures across S/4HANA, BTP, Joule, workflows, integrations, and governance, and lead customer workshops. Build roadmaps, pilots, proposals, delivery playbooks, accelerators, and team capabilities while coordinating business stakeholders, SAP consultants, architects, engineers, and leadership.

Lead enterprise integration architecture across SAP S/4HANA, BTP, and third-party systems. Design scalable integration blueprints, establish governance and security standards, define migration roadmaps from SAP PI/PO, and oversee performance, monitoring, and availability. Provide technical leadership, conduct code reviews, mentor developers, and collaborate with business leaders to translate objectives into integration strategies. Deliver complex transformations and high-stakes integration projects using SAP middleware, APIs, event-driven architecture, and automated deployment practices.

Lead end-to-end SAP integration projects using CPI, PI, and PO, including migration from PI to PO and PO to Integration Suite. Configure and develop integrations across cloud and on-premises SAP systems, B2B and EDI scenarios, and applications such as Salesforce, SuccessFactors, Workday, and S/4HANA Cloud. Work with diverse adapters, APIs, mappings, iFlows, and integration tools while supporting migration initiatives and complex integration scenarios.

Develop statistical and machine learning models to analyze and optimize mining operations. Collect, clean, integrate, and model data; create dashboards and visualizations; collaborate with domain experts; automate workflows; and deploy production solutions using Python and modern data tools. The role may lead data scientists and engineers and requires expertise in data engineering, SQL, BI, application logic, testing, and infrastructure, with mining or industrial-process knowledge preferred.

Lead Data Scientist responsible for designing, deploying, validating, and monitoring predictive, deep learning, NLP, multimodal, and generative AI models. The role involves statistical modeling, experimentation, causal inference, optimization, A/B testing, KPI definition, and translating business needs into analytical solutions. Responsibilities also include large-scale data processing, ML pipelines, data preparation, governance, and collaboration with product, engineering, and business stakeholders using Python, Databricks, MLflow, and Azure services.