Jobs at Sia Partners

Embed with client engineering teams to translate requirements into production software. Build Python backend services, APIs, integrations, RAG pipelines, tool-calling agents, and LLM workflows. Deliver platform improvements and AI use cases while applying testing, CI/CD, monitoring, security, and reliability practices. Communicate technical decisions and risks, document solutions, and transfer operational knowledge to client teams.

Build and deploy enterprise Generative AI applications using LLMs, RAG pipelines, vector databases, multimodal models, and autonomous agents. Develop prompt flows, benchmark and fine-tune models, implement MLOps practices, deploy solutions across major cloud platforms, and integrate AI capabilities into APIs and microservices. Collaborate with consultants, data scientists, engineers, architects, and customers to deliver secure, scalable, compliant, and cost-effective GenAI solutions.

Administer and enhance Meraki and UniFi network infrastructure across international offices, including firewalls, switches, access points, cabling, and office deployments. Manage Microsoft 365, Entra ID, Intune, and Azure environments; provide advanced network and application support; automate administration using PowerShell, Python, and Microsoft Graph API; support data migrations, technical documentation, and IT integration during acquisitions. Occasional international travel is required.

Provide global Level 1 and Level 2 technical support through ticketing, phone, Teams, and on-site channels. Diagnose hardware, software, network, account, and access issues; configure Windows and Mac workstations; manage devices, inventory, and lifecycle activities; document resolutions; meet ITSM and SLA requirements; support VIP users; and collaborate with international IT teams in a 24x7 rotational shift environment.

Collects, curates, classifies, and organizes strategic knowledge assets from internal and external sources. Maintains metadata, taxonomies, repository hygiene, version control, and data quality standards. Uses AI-enabled tools such as NLP, semantic search, document classification, and automated tagging to improve knowledge processing and retrieval. Supports consulting teams with content access, reporting, dashboards, governance monitoring, and continuous improvement initiatives.

Architect and standardize multi-cloud DevOps and platform foundations for AI products. Lead CI/CD, Kubernetes, infrastructure automation, observability, security, reliability, scalability, and cost governance across teams. Serve as the escalation point for complex infrastructure issues, drive incident response and resilience practices, improve developer workflows, review architectural designs, build foundational tooling, and mentor senior engineers while influencing organization-wide technical strategy.

The DevOps Engineer supports consulting engagements, SaaS product development, and data-focused projects. Responsibilities include managing cloud architecture and services, optimizing costs and access, containerizing and orchestrating applications with Docker and Kubernetes, developing Python automation tools and microservices, implementing CI/CD pipelines, and contributing to scalable technology, architecture, and governance decisions.

Leads engineering teams building AI and generative AI SaaS platforms. Owns technical roadmaps, cloud architecture, scalability, security, CI/CD, and operational excellence while contributing targeted code and infrastructure improvements. Partners with product, data science, research, and operations teams to deliver reliable customer-facing systems. Responsibilities include hiring, coaching, architectural reviews, technical leadership, product-engineering alignment, and communicating AI trade-offs to clients and stakeholders.

Develop and optimize Python back-end services, microservices, and data-centric applications for AI-powered SaaS solutions. Integrate and optimize AI/ML models, manage PostgreSQL and MongoDB databases, deploy containerized applications with Docker and Kubernetes, and manage cloud infrastructure using Terraform and Helm across GCP, AWS, and Azure. Collaborate with DevOps, data scientists, and data engineers while contributing to software architecture, testing, CI/CD, and engineering team mentorship.

Designs and delivers production-grade AI and Generative AI platforms using Python, distributed systems, microservices, and cloud-native technologies. Owns backend architecture, deploys and scales machine learning models, manages infrastructure with Terraform and Helm, and leads Docker and Kubernetes practices. Ensures database performance, observability, reliability, and incident response. Provides technical leadership on client engagements, mentors engineers, influences strategy, and translates business requirements into scalable technical solutions.

Own end-to-end recruitment for technical, consulting, and corporate roles across India and global locations. Develop sourcing strategies, build talent pipelines, conduct screening interviews, coordinate assessments, maintain ATS records, and support hiring teams. Provide talent market intelligence on compensation, sourcing challenges, and competitors, while managing career-fair outreach and delivering a strong candidate experience from sourcing through offer.

Hands-on full-stack engineer responsible for designing and developing backend services in .NET Core/C#, building Angular 12+ frontends, owning end-to-end features, engaging with clients to translate requirements, deploying containerized apps to cloud platforms, and maintaining CI/CD, code quality, and system design standards.

Lead automation testing and QA activities within an agile team: design and execute test automation, produce secure high-quality code, create architecture artifacts, analyze large datasets to improve systems, identify hidden issues, and contribute to engineering communities and inclusive team culture.

Design, build, and maintain ETL pipelines, semantic models and SQL transformations. Develop and optimize Power BI dashboards (DAX, Power Query, RLS), lead end-to-end BI projects, troubleshoot performance, document data lineage, and mentor junior analysts to enforce BI best practices.

Design, build, and maintain Power BI dashboards and reusable tabular data models; administer Power BI Service; ingest and transform data using SQL/Python and ETL tools; support stakeholders with ad-hoc reporting, documentation, demos, and Power Platform requests.

Design, build, and optimize React-based front-end interfaces for AI-powered SaaS. Improve client-side performance, ensure cross-browser compatibility, write tests, perform code reviews, collaborate with backend and design teams, and manage cloud deployments and infrastructure as code with Terraform/Helm.

Build and optimize React-based user interfaces for an AI-powered SaaS product. Collaborate with backend teams and designers, ensure cross-browser compatibility, implement state management, write tests, perform code reviews, and manage cloud deployments using IaC (Terraform/Helm) across GCP/AWS/Azure while supporting CI/CD pipelines.

Maintain and optimize production ML/algorithm services: debug, profile and tune for CPU/memory/I/O, add regression tests, implement parallelism, build and maintain REST APIs (Django/DRF or FastAPI), benchmark scalability and costs, ensure high code quality (tests, CI/CD, docs), and collaborate with product/data/QA to meet SLAs.

Support month-end close, raise and post sales invoices, maintain and reconcile general ledger and intercompany activity, manage customer projects and timesheets, monitor collections, reconcile payroll and revenue, and provide ad hoc accounting support for the Mumbai office and group entities.

Lead and grow a platform/DevOps/SRE team to design, build, and operate cloud-native MLOps and developer platforms. Own platform product roadmaps, IaC, Kubernetes, CI/CD, observability, cost optimization, and developer enablement to support ML, data, and application teams.