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Senior Data Systems Software Engineer - Exadata Database
Oracle
Nashville, TN
- $85,400 to $209,500 USD / year
The Exadata team builds the software that drives Oracle's highest-performance database systems for mission-critical OLTP, analytics, and cloud workloads. Exadata is the only database…
Added 1 hour ago
Senior Associate, Software Engineer
L3Harris
Richardson, TX
Job Title: Senior Associate, Software Engineer
Added 1 hour ago
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Software Engineer Compiler II (Full Time) – United States
Cisco
Austin, TX
- Full-time
As a Compiler Software Engineer II, you will architect, implement, and optimize advanced compilation, code analysis, and debugging toolchains that power Cisco's core networking platforms.…
Added 1 hour ago
Senior Switch Software Researcher
NVIDIA Corporation
North District, IL
12+ years of experience in system architecture, networking technologies, and embedded software, including 3+ years functioning as a Researcher in that fields.
Added 1 hour ago
Interconnect Hardware Characterization Engineer
NVIDIA Corporation
North District, IL
Our Interconnect Networking Product Engineering team is looking for an excellent hardware engineer with strong coding, analysis, and debugging skills. This role requires a deep…
Added 1 hour ago
Senior SOC Verification Engineer
NVIDIA Corporation
North District, IL
…System-On-Chip (SOC) group is seeking a top SOC Verification Engineer to verify the design and implementation of the world’s leading networking SoCs. In this position, you will get the…
Added 1 hour ago
Principal Open-Source Networking Architect
NVIDIA Corporation
North District, IL
15+ years of experience in embedded software development for networking products, including 5+ years as a technical representative in open-source communities and standard organizations.
Added 1 hour ago
Senior Chip Design Hardware Emulation Engineer
NVIDIA Corporation
North District, IL
The job also requires close collaboration with design, verification, and software engineers to enable embedded software and application software development.
Added 1 hour ago
Physical Layer Architecture Engineer
NVIDIA Corporation
North District, IL
NVIDIA's networking architecture group is seeking for a highly skilled, leading engineer to explore, and define the Physical layer of our products. As a lead engineer, you'll be responsible…
Added 1 hour ago
Senior Firmware Engineer
NVIDIA Corporation
North District, IL
We are looking for an experienced Firmware Engineer to join the QoS NIC Firmware team at the Yokneam or Tel-Aviv site. You will take part in leading a major development team in our Firmware…
Added 1 hour ago
Software Architect
NVIDIA Corporation
North District, IL
…work together as one system. We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of NVIDIA networking products, SmartNICs,…
Added 1 hour ago
Firmware Core Engineer
NVIDIA Corporation
Haifa District, IL
NVIDIA is looking for a passionate Firmware Engineer to join our NIC Firmware Core team. You will be joining a team whose primary mission is to work on innovative networking adapters…
Added 1 hour ago
Senior Firmware Security Architect, Networking
NVIDIA Corporation
North District, IL · South District, IL
Hands-on experience with networking software - device drivers, control plane, management interfaces, or embedded network operating systems - and an understanding of how these components…
Added 1 hour ago
Senior Product Security Compliance Architect
NVIDIA Corporation
North District, IL
…workflows that scale governance across hardware, firmware, and software products. Integrate global cybersecurity regulations directly into modern hardware and software engineering…
Added 1 hour ago
Senior Software Engineer, BlueField platform
NVIDIA Corporation
North District, IL
We are looking for a Senior Software Engineer to provide broad technical leadership for BlueField ARM processor platform boot, from early firmware through Linux login. Do you enjoy looking…
Added 1 hour ago
Senior Software Engineer, NVLINK
NVIDIA Corporation
North District, IL
…a lasting impact on the world.Are you an outstanding Senior embedded SW engineer? We at NVIDIA are looking for you! Joining our team, you will have the opportunity to excel and develop…
Added 1 hour ago
Board Design Engineer, Sustain
NVIDIA Corporation
North District, IL
…solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth…
Added 1 hour ago
Senior Board Design Hardware Engineer
NVIDIA Corporation
North District, IL
Lead multidisciplinary collaboration across board design, mechanics, thermal, signal and power integrity, PCB layout, software, firmware, RTL, validation, manufacturing, and quality.
Added 1 hour ago
Senior Solution Engineer, Switch Networking
NVIDIA Corporation
North District, IL
…hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You…
Added 1 hour ago
Senior Software Engineer – Networking Platforms, Diagnostics Tools and Performance
NVIDIA Corporation
South District, IL
The NVIDIA Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for…
Added 1 hour ago
Senior Software Engineer, DOCA SDK
NVIDIA Corporation
North District, IL
The NVIDIA DOCA team is seeking a highly motivated and experienced engineer with hands-on technical expertise to develop the SDK for the next-generation Data Processing Unit, with a wide…
Added 1 hour ago
Senior Firmware Performance Engineer
NVIDIA Corporation
North District, IL
NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance…
Added 1 hour ago
Physical Layer Firmware Architecture Engineer
NVIDIA Corporation
North District, IL
As a Physical Layer Firmware Architecture Engineer at NVIDIA, you will undertake an outstanding role to build the future of computer graphics, AI, and high-speed communication protocols.…
Added 1 hour ago
Senior DevOps Engineer
NVIDIA Corporation
North District, IL
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams.…
Added 1 hour ago
Software Test Engineer
Deloitte US
San Jose, CA
…wants to work in a collaborative environment? As an experienced Software Test Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the…

Deloitte US

Applied AI Site Reliability Engineer III

Hermitage, TN, United States
Nashville, TN, United States

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Job details

Apply by: Mar 1, 2027
Posting language: English
Posted: Oct 21, 2026

Original job description

As an Applied AI Site Reliability Engineer III, you will actively engage in your engineering craft, taking a hands-on approach to the reliability, performance, and operational integrity of high-visibility products and platforms and the environments they run in. Your expertise will be pivotal in keeping production safe, performant, and cost-effective, while driving tangible value for Deloitte’s engineering investments. You will leverage your extensive engineering craftsmanship across cloud platform engineering, observability, and performance and reliability engineering - together with applied AI fluency that lets you reliably operate AI and agentic workloads alongside the rest of the portfolio - consistently demonstrating your strong track record in operating high-quality, resilient systems at scale. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to uphold production standards, safeguard environments, and admit systems into production with confidence.

Work You'll Do:

Outcome-Driven Accountability: Embrace and drive a culture of accountability for reliability, performance, and cost outcomes, measured in service-level objectives and error budgets, not raw uptime. Operate the products, platforms, and environments you support to meet their SLOs within budget, and track incident trends and toil to prioritize the work that most improves reliability - ensuring high-quality, lean operational designs that keep production safe and resilient.
Technical Leadership and Advocacy: Serve as the technical advocate for production reliability and operability, ensuring systems are admissible, performant, safe to run, and able to degrade gracefully when failure occurs. Uphold production standards, lead the design of observability, performance and resilience testing, and operational tooling, and own the admission of systems into production - gating release on error budgets and automated reliability checks, and owning the readiness verification, environment integrity, and operational support that follow.
Engineering Craftsmanship: Maintain accountability for the operational integrity of production and pre-production environments, and for the production standards that systems are admitted against. Own SLOs and error budgets; build and operate production observability - codified, version-controlled dashboards and SLO-driven, actionable alerting that detects before impact, plus the feedback loop into engineering; run performance, ambient-noise, and chaos testing to verify readiness; and guard environments against drift. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks - operating as an infrastructure-focused engineer, not a tool operator. Create technical specifications, runbooks, and shared playbooks; lead blameless postmortems that turn incidents into learning and systemic fixes; write high-quality, supportable automation to ensure all reliability KPIs (availability, performance, and cost) are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.
Customer-Centric Engineering: Develop lean operational solutions through rapid, inexpensive experimentation to meet the reliability needs of the engineering teams and the business. Engage with those teams before, during, and after delivery, co-defining service-level objectives and operational readiness so the right safeguards are in place at the right time, without becoming a bottleneck to delivery.
Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, hardening reliability through incremental, measurable improvements - progressive resilience testing and SLO refinement - rather than big-bang interventions, and keeping operations supportable and maintainable.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional partners: engineering, platform engineering, security and risk, data governance, and engineering leadership and architecture. Uphold production standards and integrate their constraints so that the reliable, performant, and compliant path is the operative path. Co-define service-level objectives with the teams you support, verify readiness, and own the admission decision into production - holding the segregation-of-duties line as a dedicated, embedded function while partnering with security and risk on the control objectives you enforce. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess expertise in site reliability and modern production engineering - cloud platform ownership, observability (metrics, tracing, logging), performance and capacity engineering, chaos engineering, and cloud/AI cost engineering - together with applied AI fluency to operate AI and agentic workloads reliably, including AI and Agentic SSDLC, delivering production operations with full automation from discovery to production to operations and all quality checks through the SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize reliability, performance, and operational delivery. Demonstrate strong understanding of the full lifecycle of platform and product development, focusing on continuous improvement and learning.
Domain Expertise: Quickly acquire domain knowledge of the products and platforms you operate - and, where they are AI-infused, their distinct production failure modes such as drift, train/serve skew, latency and output variance, and token/GPU cost anomalies. Translate reliability needs, reference architectures, and operational requirements into service-level objectives, runbooks, and production tooling. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create 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 that leverages 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.

Qualifications

Required:

A bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor.
5+ years of software engineering and site reliability engineering experience operating large-scale, distributed, cloud-native systems in production, with experience in most of the following: Python, Go, Bash, Java, C#/.NET, SQL/NoSQL, Kubernetes, Terraform, ArgoCD, as well as CI/CD and observability stacks.
3+ years of experience in site reliability or production engineering for large-scale systems - defining and owning SLIs, SLOs, and SLAs; error budgets; incident command and on-call; building and operating production observability (metrics, tracing, logging - e.g., OpenTelemetry, Prometheus, Grafana, Datadog, Dynatrace, Amazon CloudWatch, Azure Monitor, Google Cloud Operations, SolarWinds, Splunk); environment integrity and drift prevention across pre-production and production; and segregation-of-duties controls (least-privilege/RBAC, deploy approvals, secrets management) in partnership with security and risk.
3+ years of experience with cloud-native engineering and cloud platform ownership on any of the cloud hyperscalers such as Azure, AWS, or GCP - including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI - plus container orchestration (Kubernetes, Docker), infrastructure-as-code, networking, and multi-environment management.
Prior experience operating AI/ML and agentic workloads in production - their reliability failure modes (drift, train/serve skew, output variance), MLOps/LLMOps, and the AI control plane (model/LLM gateway, guardrails) from the operability and performance side.
Prior experience with load and performance testing under simulated production traffic (e.g., LoadRunner, k6, or JMeter), chaos engineering (e.g., Azure Chaos Studio, AWS Fault Injector), capacity planning, autoscaling, and cloud/AI cost engineering (FinOps tooling/dashboards, including GPU/inference and token cost attribution).
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, and AI-augmented spec-driven development.
Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (e.g. LangFuse, LangSmith, or equivalent multi-agent orchestration tools) etc. to operate high-quality, resilient platforms and products at scale.
Ability to travel 10%, on average, based on the work you do and products you build.
Limited immigration sponsorship may be available.
Candidates must be located within a commutable distance to the select location available for this role.
Ability to work in your local office at a minimum of 3 days per week

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $171,000. EA_ExpHire EA_ITS_ExpHire PXE_JOBS

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More about this job

Skills

Leadership
Statistical quality control
Process improvement
Communication skills
Organizational skills
Computer science
Machine learning
Python
Go
Bash
Oracle Java
C#
.NET
SQL
NoSQL
Kubernetes
IBM Terraform
CI/CD
Prometheus
Grafana
Datadog
Dynatrace
Microsoft Azure
Google Cloud
SolarWinds
Splunk
AWS
ML
Docker
Infrastructure as code
Apache JMeter
Object-oriented programming
GitHub
SonarQube
Mlflow

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