Role Overview: As a SRE Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your SRE engineering craftsmanship and advanced proficiency across multiple programming languages, SRE tools, and modern frameworks, consistently demonstrating your exemplary track record in maintaining production systems with high-quality, modern observability practices, and SLAs. The ideal candidate will be having monitoring and observability implementation experience in large scale critical projects, collaborating with cross-functional teams to design, develop, and deploy such solutions.
Key Responsibilities:
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Implementation of cost-effective platform operations, improving stability/resilience and automating optimizations to reduce maintenance effort and meet business KPIs.
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Follow SRE practices aligned to business goals and standards; leads requirement analysis, automation, integration, monitoring/dashboarding, and ongoing operational support.
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Configures, integrates, and maintains systems, helps solve complex problems through operational automations and predictive analytics. Works with the team to identify bottlenecks and optimizations, adhering to defined standards/SLAs.
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Develops and iterates operational solutions with customers and product teams; responds to incidents rapidly to minimize downtime and user impact.
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Delivers lean, supportable solutions in small increments; validates with evidence, learns fast, and adapts execution to navigate ambiguity and complexity.
- Cross-Functional Collaboration and Integration: Collaborates with product, delivery, infrastructure, and security teams; partners with COTS vendors to validate operational capabilities; integrates diverse perspectives to drive decisions, synergy, and innovation.
- Advanced Technical Proficiency: Applies intermediate SRE practices (Agile, DevSecOps, CI/CD) to improve automation and quality; supports the product lifecycle from design through scaling with continuous improvement and learning.
- Domain Knowledge: Learns domain/product/COTS context quickly; translates business and user needs into operational plans and automations; navigates product, UX, engineering, compliance, and security to drive feasible product value.
- Effective Communication and Influence: Communicates SRE concepts clearly; influences with evidence-based trade-offs, evaluations, and research; connects technical decisions to business objectives through coherent narratives.
- Engagement and Collaborative Co-Creation: Engages product engineering teams and customers as needed; builds trusted relationships and a co-creation culture; drives consensus across diverse viewpoints to deliver feasible solutions.
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
The successful candidate will possess:
§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Required Qualifications:
§ A bachelor’s degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
§ 4+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang.
§ 3+ years of hands-on experience in implementing and administering monitoring solutions (Dynatrace, Grafana, Cloud Watch, Azure Monitor).
§ 4+ years of hands-on experience in hosting highly available cloud native applications, using auto-scaling, self-resilient architectures, across various cloud service providers such as Azure, AWS and GCP.
§ 2+ years of hands-on experience with troubleshooting application and infrastructure issues in production environment, with high accuracy, conducting root cause analysis, providing preventive measures based on RCA on multiple cloud providers.
§ 2+ years of experience in defining SLO and SLI for cloud native applications, measuring, reporting and alerting using custom scripts or monitoring solutions.
§ 1+ years of experience with AI/ML, GenAI, and specifically AIOps.
§ Prior experience with cloud providers security practices, networking, cloud administration, database technologies and maintenance, firewalls, and load balancers.
§ Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
§ Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, CI/CD, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
Other:
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Ability to travel 10%, on average, based on the work you do and products you build.
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Limited immigration sponsorship may be available.
