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Added 6 mins ago
Sr Software Engineer (Product Engineering Background)
Jobgether
Remote, United States
…data across global supply chains through modern, AI-powered infrastructure. As a Senior Software Engineer, you will take ownership of complex product initiatives, drive architectural…
Added 6 mins ago
Consultant, Software Engineer - Platform Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
Cloud-native software engineering using APIs, microservices, event-driven architectures, containerization, Infrastructure as Code (IaC), CI/CD pipelines, and platform automation.
Added 14 mins ago
O
Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Dover, DE
- $104,600 to $264,100 USD / year
Strong understanding of DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, and observability
Added 34 mins ago
Staff Engineer - Developer Productivity
Jobgether
Remote, United States
As a Staff Engineer specializing in Developer Productivity, you will shape the engineering experience and technical infrastructure that enables a growing organization to build, test, and…
Added 34 mins ago
Staff Analytics Engineer
Jobgether
Remote, United States
As a Staff Analytics Engineer, you will play a pivotal role in designing and scaling the data infrastructure that powers analytics, reporting, and strategic decision-making across a large…
Added 34 mins ago
Senior Full Stack Engineer
Jobgether
Remote, United States
As a Senior Full Stack Engineer, you will play a key role in designing, developing, and scaling a sophisticated customer data platform that helps businesses seamlessly connect their data…
Added 35 mins ago
Software Engineer III, Infrastructure, Google Cloud Platforms
Google
Sunnyvale, CA · Kirkland, WA · New York, NY · Seattle, WA · Madison, WI
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Added 1 hour ago
O
Lead Principal Application Software Engineer- Forward Deployed Engineer
Oracle
Pierre, SD
- $104,600 to $264,100 USD / year
Strong understanding of DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, and observability
Added 1 hour ago
DevOps + Go (Platform Engineer )
Jobgether
Remote, United States
The DevOps + Go Platform Engineer will help build and evolve an internal developer platform and CI/CD ecosystem supporting multiple products and infrastructure environments. This hands-on…
Added 1 hour ago
SC
Principal Consultant
Softchoice Corporati
Denver, CO
- $158,720 to $198,400 USD / year
Added 1 hour ago
Senior Software Engineer – AI, Tax and Audit, FDE
Thomson Reuters (Tax & Accounting) Inc
Brooklyn, NY · Frisco, TX · Ann Arbor, MI · Eagan, MN
Experience deploying secure applications on AWS, Azure, or Google Cloud, using Infrastructure as Code and continuous integration and delivery (CI/CD), alongside observability and AI…
Added 2 hours ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
We're looking for a Platform Engineer to help build and run the infrastructure that powers a multi-tenant, security-sensitive B2B cloud product used by enterprise customers around the…
Added 3 hours ago
P
Machine Learning Engineer - Lendscore
Plaid
New York, NY
- $211,680 to $272,160 USD / year
- Ability to code and iterate independently using data infrastructure tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries.
Added 3 hours ago
GTM Systems Engineer
Jobgether
Remote, United States
We are seeking a hands-on GTM Systems Engineer to build, optimize, and scale the technology infrastructure that powers revenue operations. In this role, you will develop and customize…
Added 3 hours ago
Senior Cloud Platform and DevSecOps Engineer - TS/SCI with Polygraph
GD Information Technology, Inc.
United States
Mentor engineers, conduct code/design reviews, and help domain teams adopt approved platform patterns rather than building shadow infrastructure.
Added 3 hours ago
Microsoft 365 Engineer
University Hospitals Career Section
Cleveland, OH · Shaker_Heights, OH
…issues. Assists in the development and strategy of the server infrastructure through system monitoring, maintenance, and system…
Added 4 hours ago
C
Business Operations Lead
Coast
NY
- $160,000 to $200,000 USD / year
Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country’s 500,000 commercial fleets, 40 million commercial vehicles, and many millions…
Added 4 hours ago
C
Business Operations Associate
Coast
NY
- $85,000 to $110,000 USD / year
Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country’s 500,000 commercial fleets, 40 million commercial vehicles, and many millions…
Added 4 hours ago
Staff Site Reliability Engineer- Networking
Jobgether
Remote, United States
Proficiency in Infrastructure as Code (IaC) and GitOps practices, with hands-on experience using tools such as Terraform, Crossplane, ArgoCD, or equivalent technologies.
Added 4 hours ago
VP
Senior AWS Cloud Engineer
Votaw Precision Technologies LLC
Santa Fe Springs, CA
- $130,000 to $165,000 USD / year
The Senior AWS Cloud Engineer will build and own Vela’s cloud foundation in AWS GovCloud (US), where CUI and manufacturing data will reside. This hands-on role will establish the landing…
Added 4 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also…
Added 4 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also…
Added 4 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
…for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also…
Added 4 hours ago
Application Engineer - DevOps & Engineering Tools
RTX Corporation
phoenix, AZ
Automation & Orchestration: Develop and maintain software deployment automation, container orchestration scripts, and infrastructure-as-code templates
Added 5 hours ago
Senior PostgreSQL Database Engineer
Valiant Solutions, LLC
St. Louis, MO
Experience with database automation, scripting, infrastructure as code, or repeatable deployment practices.

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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