Top Tech Jobs & Startup Jobs

Build and operate reliable AWS-based SaaS platforms through observability, infrastructure automation, CI/CD, container and serverless operations, incident response, security controls, and self-healing systems. The role owns services end to end, improves SLOs and incident metrics, maintains Terraform and GitHub Actions automation, participates in 24/7 on-call, and mentors engineers while applying governed AI-assisted engineering practices.

Own customer-facing documentation for ERP and MES products, including user guides, release notes, in-application help, and configuration materials. Establish documentation standards, information architecture, templates, and publishing workflows. Collaborate with Product, Engineering, QA, Implementation, and Support to explain complex manufacturing workflows clearly. Audit content, measure effectiveness, support releases, and document AI-enabled features. The role requires strong technical writing, enterprise software experience, and familiarity with documentation platforms.

Own end-to-end development of modules across Amtech’s AWS-hosted .NET/C# Cloud API and legacy 4D ERP platform. Design RESTful APIs, integrate AWS services, resolve complex business-logic issues, improve testing and reliability, maintain data integrity, participate in Agile ceremonies and code reviews, and mentor junior engineers. The role requires independent technical judgment across modern and legacy enterprise systems, with opportunities to use AI-assisted development tools.

Supports Professional Services by reviewing customer requests, gathering requirements, estimating service effort, preparing statements of work and quotes, and managing related Salesforce records. Coordinates with Sales, Customer Operations, Product, Development, Finance, and delivery teams. Processes change requests, tracks deadlines, documents risks and assumptions, sends proposals through DocuSign, maintains accurate case histories, and produces reports while using AI tools to review complex documents.

Provide in-person IT support for the Bengaluru office while managing enterprise infrastructure, endpoints, identity, networking, Microsoft 365, and hybrid services. Administer Intune and device lifecycle operations, troubleshoot complex technical issues, coordinate vendors, support ITSM processes, improve monitoring and reliability, develop automation, and assist with SOC 2 and ISO 27001 controls. Collaborate with global IT, Cloud, Security, HR, Facilities, and business teams.

The Manager of PMO will establish and lead a modern PMO across Product and Technology. Responsibilities include standardizing Agile and hybrid delivery processes, overseeing strategic programs and portfolios, managing risks and dependencies, defining delivery and engineering KPIs, building dashboards, optimizing tools such as Jira and Jellyfish, and advising executives and teams on execution, governance, and continuous improvement.

Processes customer and internal service requests, gathers requirements, scopes engagements, estimates service hours, and prepares Service Requests, Statements of Work, proposals, and quotes. Maintains accurate case records, improves GPT prompts, verifies AI-generated documents, produces reports, and collaborates with U.S.-based sales enablement teams, customers, partners, and internal stakeholders.

Owns the backlog and product execution for automated scheduling applications across ERP platforms. Translates roadmap initiatives into epics, user stories, and acceptance criteria; prioritizes features and defects; coordinates Agile planning and delivery across product, engineering, UX, QA, and architecture teams. Engages manufacturing customers to understand workflows and scheduling needs, validates releases, supports documentation and training, and ensures delivered capabilities provide measurable operational value.

Own reliability for major AWS production domains by defining SLOs, building observability and automation, managing capacity and self-healing, and leading complex incident response. Design Terraform modules and progressive delivery pipelines, operate ECS, EKS, Lambda, and PostgreSQL workloads, and reduce operational toil. Establish security and compliance controls, apply governed AI to operations, mentor SRE engineers, and standardize reliability practices across global teams.

Build and scale Amtech’s reusable, MCP-native agentic AI platform. Develop LLM orchestration, RAG pipelines, model integrations, governed data access, audit controls, and production AWS deployments. Extend agent capabilities across manufacturing and business workflows, establish evaluations and observability, control inference costs, and partner with product engineers, data scientists, and MLOps teams. Set technical direction, review engineering work, and help standardize agent development across product lines.