Senior Consultant - DevOps

The Senior Consultant in DevOps is a hands-on lead for one or more services, components, or features inside an Azure solution. You turn architecture and requirements into working software, own technical quality for your area, and help the team ship secure, reliable, and maintainable systems. At this level you lead implementation in your primary domain, shape design for your slice of the system, and mentor other engineers. You make trade-offs visible, help keep delivery predictable, and partner closely with architects and product owners so the work your team ships ties back to business outcomes.

Responsibilities

Own the design and implementation of services, components, or data flows in your domain, so they meet goals for security, performance, reliability, and cost; Lead technical execution for a workstream, guiding other engineers so designs, interfaces, and code stay aligned with agreed patterns and standards; Break down architecture direction into clear technical tasks, sequence them sensibly, and keep an eye on dependencies and risks; Apply sound engineering practices such as modular design, clear contracts, automated tests, and observability; Conduct design and code reviews that focus on correctness, simplicity, security, and readability; Use AI-assisted development tools to accelerate coding, testing, and documentation; Surface technical issues early, provide options with trade-offs, and work with architects and leads to converge on practical decisions; Build and maintain alignment across hybrid/onshore–offshore teams; Participate in discovery and refinement for your workstream, helping turn requirements into user stories or tasks with clear acceptance criteria; Estimate effort for your area, call out assumptions, and update estimates as you learn more; Explain design and implementation choices in straightforward language to engineers, product owners, and business stakeholders; Connect deliverables to business goals so stakeholders understand impact; Help keep your team's delivery stable by promoting good branching, reviews, automated testing, and CI/CD usage; Use telemetry and logs to validate behavior in non-production and production environments; Mentor engineers, particularly at L8 and below, through pairing, code reviews, and design sessions; Model pragmatic decision making; Share lessons learned and contribute to runbooks or implementation guides; Support hiring by taking part in technical interviews; Contribute to business development within current client engagements by identifying additional scope or opportunities for extension; Collaborate with architects and sales or account leaders on pursuits by providing realistic implementation viewpoints, risks, and estimates; Contribute to starter repositories, templates, sample code, and how-to guides; Help evaluate new frameworks, tools, or AI capabilities and run small experiments; Participate in internal communities, lunch-and-learns, or guilds

Requirements

4+ years of experience delivering solutions in a primary technical domain such as application development, cloud platform engineering, DevOps, or data and analytics; Several years owning design and implementation for services, components, or data flows, including guiding other engineers; Demonstrated experience serving as a team lead or workstream owner for a small team, coordinating tasks and ensuring high-quality, on-time delivery; Solid experience building on at least one major public cloud platform, with Azure strongly preferred; Deep hands-on skills in the languages, frameworks, and patterns of your primary domain, and the ability to apply them to build maintainable systems; Practical experience with AI-augmented development tools in daily work and, where relevant, integrating AI or ML services via APIs or cloud platforms; Experience working in Agile or Scrum teams, including backlog refinement, estimation, and iteration planning; Strong problem-solving skills and clear written and verbal communication; A track record of continuous learning and applying new cloud or AI capabilities to improve delivery in real projects; Build and maintain CI/CD pipelines for applications, data workloads, or platforms, using agreed tools and patterns; Implement infrastructure as code templates and automation scripts that support consistent environments; Integrate security scans, tests, and quality checks into pipelines and help teams react to findings; Configure logging, metrics, and alerting with guidance so systems and pipelines are observable

Nice to have

Experience in consulting or professional services, especially working directly with client stakeholders