Harness Engineer

Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.

This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. 

• Define the architecture and delivery of the coding agent harness across engineering teams, repositories, and platform layers.

• Define safe agent workflows, roles, execution modes, approval points, escalation paths, and human-in-the-loop controls.

• Integrate agents with Git workflows, IDEs, issue trackers, documentation, CI/CD, test suites, observability, cloud environments, and internal developer platforms.

• Design MCP-based and API-based tool integrations with scoped permissions, audit trails, and governed access.

• Embed agents into delivery workflows for coding, testing, refactoring, documentation, dependency upgrades, build analysis, and deployment preparation.

• Establish secure SDLC guardrails covering source code, secrets, infrastructure, data, prompt injection, tool misuse, and protected resources.

• Define evaluation frameworks, benchmarks, regression suites, quality gates, and productivity metrics for agent-assisted engineering.

• Enable AWS cloud-native engineering and ensure agent-generated changes meet security, resilience, observability, cost, and operational standards.

• Mentor engineering teams and create reusable patterns, playbooks, reference architectures, and adoption standards.

Our people are our greatest strength. We value diverse perspectives and empower individuals to make an impact.

• 8+ years in software, platform, DevOps, cloud, AI engineering, developer platforms, or engineering productivity. (Required)
• Proven technical leadership delivering developer platforms, CI/CD automation, internal engineering tools, or AI-assisted engineering workflows. (Required)
• Hands-on experience with coding agents, LLM-based development tools, agent orchestration, and human-in-the-loop workflows. (Required)
• Experience integrating source control, CI/CD, issue tracking, documentation, observability, cloud environments, and developer portals. (Required)
• Experience in banking, financial services, or another regulated enterprise environment. (Preferred)

• BSc or MSc in Computer Science, Software Engineering, or a related field, or equivalent practical experience. (Required)

• Spanish proficiency. (Required)
• High level of English. (Preferred)

• Strong knowledge of coding agents, orchestration, task decomposition, tool use, retrieval grounding, context management, and safety guardrails. (Required)
• Strong Git, pull request, code review, branch protection, repository permission, and release workflow experience. (Required)
• Hands-on Python skills for automation, backend services, validation, and agent tooling. (Required)
• Strong CI/CD, automated testing, quality gates, DevSecOps, deployment governance, rollback, and traceability experience. (Required)
• Experience designing APIs, MCP or comparable agent-tool integrations, scoped authorization, and audit logging. (Required)
• Strong AWS, containers, infrastructure-as-code, observability, security, resilience, and cost-management knowledge. (Required)
• Knowledge of secure SDLC, responsible AI, prompt-injection defenses, data protection, policy-as-code, and compliance controls. (Required)
• Experience with Harness Engineering, internal developer platforms, agent evaluation, or enterprise coding assistants. (Preferred)

• Strong technical leadership, ownership, mentoring, and ability to create standards in ambiguous environments.
• Developer empathy and practical judgment balancing delivery speed, automation, quality, security, governance, and accountability.
• Clear communication and effective collaboration across Engineering, Product, Architecture, Security, IAM, Risk, Compliance, and leadership.

If this sounds like a role you are interested in, then please apply.

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