Write, optimize and troubleshoot complex T-SQL queries, stored procedures, views, functions and triggers to support data transformation, loading, and validation logic within MS SQL Server, in line with established coding and naming standards.
Orchestrate and schedule complex data workflows, ensuring timely and reliable data delivery.
Implement and manage monitoring solutions to proactively address and prevent performance issues. Monitor daily job statuses and perform troubleshoot and recovery when necessary.
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Cloud automation. Automate account lifecycle, IAM, secrets, monitoring and logging, and policy guardrails.
AI agent infrastructure. Build and scale the platform that runs AI coding agents in isolated, ephemeral environments: sandboxing, resource limits, observability, access control.
Coding. Build internal services, APIs, and tooling in Go or Python, with tests and code review.
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Review design packages (electrical, mechanical, controls) and ensure production teams fully understand the build requirements.
Conduct build readiness reviews with production, quality, HSE, and supply chain teams to ensure all materials, drawings, jigs, and procedures are released before production start.
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Translate complex algorithmic ideas - syntax parsing, semantic chunking, custom routing - into reliable, production ready software components.
Build and rigorously evaluate prototypes for future AI initiatives, including open source small language models (SLMs), custom embeddings, and multi agent / cross validation patterns, backed by measurable retrieval and quality metrics.
Architect multi tenant data, identity, and authorization layers that meet enterprise security and compliance requirements.
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You will apply automated testing, evaluation, observability, security controls and production monitoring throughout the software delivery lifecycle.
You will prototype and rapidly iterate on solutions using data, user feedback and minimum viable implementations, then harden successful approaches for production.
You will review code and technical designs, provide constructive feedback, share knowledge and guide junior engineers toward stronger engineering practices.
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Ensure that there are robust arrangements to carry out the site supervision and contract management functions on site, including:
Ensure there are robust processes in place to manage staff availability and rosters, with appropriate staff available to manage the contractors’ compliance with their contracts.
Ensure contact management staff process routine progress claims.
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