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Deloitte

<div>] Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
<br>
<b>Work you'll do</b><br>
<br>
As a Software Engineer II on the GPS Engineering as a Service team, you will be responsible for delivering Appian-based business process solutions that support mission objectives.<br>
<ul><li>
Support configuration, development, and defect resolution for an Appian replatforming effort replacing legacy capabilities.
</li><li>Assist with building Appian components, refining user stories, completing unit testing, troubleshooting issues, and supporting releases and sprint delivery.
</li><li>Collaborate with leads, analysts, testers, and business stakeholders to translate requirements into build tasks and ensure the application continues to evolve in line with business priorities.
</li><li>Participate in Agile delivery activities, including sprint planning, daily stand-ups, backlog refinement, and release support</li><li>
Apply Appian development standards, reusable components, and performance practices to support maintainability and technical quality</li></ul><br>
A successful candidate would possess these skills:<br>
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul><br>
<b>
The team</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, &amp; deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, &amp; Operate capabilities to accelerate innovation.<br>
<br>
<b>Qualifications</b><br>
<br>
Required:<br>
<ul><li>
Bachelor's degree</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>
Active Public Trust security clearance</li><li>
3+ years of experience of enterprise application testing/quality assurance</li><li>
3+ years of experience of functional, regression, integration, and UAT testing</li><li>
3+ years of experience of defect tracking, triage, and retesting</li><li>
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li></ul><br>
Preferred:<br>
<ul><li>
Appian platform familiarity</li><li>
1+ year of Appian testing experience</li><li>
Experience testing enterprise workflow or low-code applications</li><li>
Familiarity with test tools such as Jira, Xray, qTest, or Azure DevOps</li><li>
Experience with GPS or federal application environments</li><li>
ISTQB or similar certification preferred</li></ul><br>
For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and 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. 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 $170,900.<br>
<br>
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.</div>

Software Test Engineer, Consultant

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
<b>Work you'll do</b><br>
<br>
As a Software Engineer II on the GPS Engineering as a Service team, you will be responsible for delivering Appian-based business process solutions that support mission objectives.<br>
<ul><li>
Design, build, test, and deploy Appian applications that support client mission and operational requirements</li><li>
Translate stakeholder requirements into scalable Appian workflows, interfaces, and process models</li><li>
Integrate Appian applications with enterprise data sources, application programming interfaces, and third-party systems in secure environments</li><li>
Participate in Agile delivery activities, including sprint planning, daily stand-ups, backlog refinement, and release support</li><li>
Apply Appian development standards, reusable components, and performance practices to support maintainability and technical quality</li></ul><br>
A successful candidate would possess these skills:<br>
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul><br>
<b>
The team</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, &amp; deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, &amp; Operate capabilities to accelerate innovation.<br>
<br>
<b>Qualifications</b><br>
<br>
Required:<br>
<ul><li>
Bachelor's degree</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future</li><li>
Active Secret security clearance</li><li>
3+ years of experience developing Appian applications and translating stakeholder requirements into platform solutions</li><li>
3+ years of experience integrating Appian applications with enterprise data sources, application programming interfaces, and third-party services</li><li>
3+ years of experience documenting technical solutions, processes, and configurations for sustainment and audit readiness</li><li>
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve</li></ul><br>
Preferred:<br>
<ul><li>
Appian Senior Developer Certification or Appian Lead Developer Certification</li></ul><br>
For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and 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. 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 $170,900.<br>
<br>
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.</div>

Appian Engineer, Consultant

Infor

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
We are seeking a Team Lead, Cloud to provide technical leadership for a multi-tenant enterprise software product team building and operating high-quality .NET applications. This role is responsible for guiding the delivery lifecycle from requirements analysis through deployment and production support, while driving engineering excellence, collaboration, and continuous improvement. Building on hands-on expertise in .NET and AWS, the Team Lead will own the technical quality of the team's work architecture, design, code review, CI/CD, and security - and partner with internal stakeholders and Infor application teams across onshore and offshore locations to translate business requirements into scalable, actionable technical plans. The lead will manage a team of engineers by allocating workload, conducting performance reviews, and participating in hiring, while driving the adoption of AI and automation to increase productivity and reduce support overhead. This leadership is key to delivering the provisioning, database-migration, configuration-management, and self-service capabilities. This position offers a potential growth path into a Development Manager role for individuals interested in expanding their leadership responsibilities.</div><h3 class="jobSectionHeader"><b><br>
A Typical Day in the Life Includes:</b></h3><br>
<div></div><ul><li>
Lead end-to-end delivery of software solutions from requirements analysis through deployment and production support, owning realistic estimates and proactively communicating risks to committed timelines.</li>
<li>Provide technical direction and hands-on guidance to engineers, serving as the primary point of contact for architecture, design, and codebase decisions.</li>
<li>Conduct thorough code reviews and enforce quality, security, and performance standards before changes are promoted.</li>
<li>Ensure technical designs are complete, scalable, and developer-ready, incorporating lessons learned to prevent recurring issues.</li>
<li>Partner with stakeholders to translate business requirements into actionable technical solutions that align with business needs and existing implementations.</li>
<li>Coordinate development and QA efforts across distributed teams, ensuring clear communication, documented decisions, and adherence to established processes.</li>
<li>Mentor engineers through coaching, knowledge sharing, professional development support, and the adoption of AI and automation to improve productivity and operational efficiency.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Basic Qualifications:</b></h3><br>
<ul>
<li>
Experience leading software development initiatives or technical teams in an enterprise environment.</li>
<li>Experience gathering, analyzing, and translating business requirements into technical solutions.</li>
<li>Experience conducting code reviews and promoting software engineering best practices.</li>
<li>Ability to communicate clearly and collaborate effectively with technical and non-technical stakeholders.</li>
<li>Experience working with cloud-based applications and modern software development practices.</li>
<li>Ability to coordinate work across multiple teams, functions, and time zones, including offshore teams.</li>
<li>Demonstrated technical judgment across code reviews, design reviews, root cause analyses, and stakeholder discussions.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Preferred Qualifications:</b></h3><br>
<ul>
<li>
Experience with AWS or similar cloud platforms.</li>
<li>Experience supporting multi-tenant SaaS or enterprise software products.</li>
<li>Knowledge of CI/CD pipelines and automated deployment practices.</li>
<li>Experience with .NET technologies and application development.</li>
<li>Experience with SQL and relational databases, including database provisioning or migration activities.</li>
<li>Experience coordinating QA activities, including automation, load, scalability, and security testing.</li>
<li>Familiarity with software development lifecycle methodologies, governance practices, and people leadership responsibilities.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Infor</b></h3><div><b>
About Infor</b></div><div>
Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.</div><div>
<br>
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.<br>
<br>
For more information visit www.infor.com</div><div><b><br>
About Infor</b></div><div>
Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.</div><div>
<br>
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.<br>
<br>
For more information visit www.infor.com</div><div>
<br>
<b>Our Values</b>
</div><div>At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management&trade; (PBM&trade;) and eight Guiding Principles: integrity, stewardship &amp; compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.<br>
</div><div>
<br>
We have a relentless commitment to a culture based on PBM&trade;. Informed by the principles that allow a free and open society to flourish, PBM&trade; prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.</div><div>
<br>
Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.<br>
</div><div><b>Fraud Awareness</b></div><div>
We have been made aware of unauthorized individuals posing as Infor recruiters, including some who have made fraudulent offers of employment. Please read our guidelines and protect yourself from recruitment scams.<br>
</div><div><b>Fraud Privacy Policy</b></div><div>
We value your privacy at Infor. You may access our privacy policy here.<br>
<br>
<b>US Only</b><br>
<i>This employer uses E-Verify. Please visit </i><i>this website</i><i> for additional information.</i>
</div><div><i>E-Verify Illinois: Click </i><i>here</i><i>, </i><i>aqu&iacute;</i><i>, or </i><i>tu</i></div></div>

Team Lead, Cloud - 1

Cox Automotive

<div>Cox Automotive's architecture group is reimagining the car-buying and service experience from inventory management, consumer shopping, service, and deal inception to close. The CAI Architecture Team architects and evolves the platforms that power inventory management, deal creation, validation, and service across the retail lifecycle.<br>
<br>
The Principal Solution Architect provides technical leadership for key Cox Automotive products, advancing platform modernization, solution architecture, and AI initiatives across CAI services.<br>
<br>
Key Responsibilities<br>
<ul><li>
Drive solution design from discovery through delivery - shaping epics, validating assumptions, surfacing risks early, and aligning across teams to target architecture</li><li>
Partner with engineering, product, and agile leaders to sequence and prioritize architectural investments, balancing near-term delivery with long-term platform health</li><li>
Champion adoption of Cox Automotive's Common tenancy and user management platforms and AWS-native patterns within the value stream</li><li>
Identify, evaluate, and champion generative AI capabilities for new products and features, aligning implementations with Retail Agentic Platform standards and establishing reusable architecture practices.</li><li>
Produce and maintain architectural artifacts - roadmaps, decision records, solution diagrams, integration models - that give teams clear, actionable direction</li><li>
Assess emerging AI technologies and coordinate with governance partners to ensure ethical, regulatory, security, and enterprise standards are addressed.</li><li>
Promote reusable patterns and frameworks to accelerate Product development and AI adoption.
</li><li>Translate business objectives and constraints into practical solution options, trade-offs, and technical recommendations for delivery teams.</li><li>
Build engineering teams' AI capabilities through hands-on mentoring, design reviews, and guidance on applying approved patterns.</li><li>
Lead proofs of concept and reference implementations that validate architectural assumptions, reduce delivery risk, and establish reusable implementation patterns.</li></ul><br>
Minimum Qualifications<br>
<ul><li>
Bachelor's degree in a related discipline and 10 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 6 years' experience; a Ph.D. and 3 years' experience; or 20 years' experience in a related field.</li><li>
Proven ability to align diverse stakeholders around technical direction, navigate ambiguity, and drive consensus across engineering, product, and business teams.</li><li>
Highly analytical and capable of diving technically deep to rapidly deliver proof-of-concepts and perform experimentation.</li><li>
Breadth of architectural knowledge spanning application, integration, and platform domains, with the ability to connect technical decisions to business outcomes.</li><li>
Extensive technical experience in application architecture and API delivery at scale.</li><li>
Experience developing APIs at scale using GraphQL and/or REST.</li><li>
Experience in full development life cycle with significant experience delivering applications and architecture services in a production environment.</li><li>
Strong familiarity with architecting for and delivering solutions in a public cloud environment (AWS preferred).</li><li>
Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)</li><li>
Experience working within DevOps cultures, with a focus on process improvement, automation, and continuous delivery.</li></ul><br>
Preferred Qualifications<br>
<ul><li>
Proven ability to identify and select appropriate application and data systems for varied workloads - integrations, processing, APIs, and operational reporting.</li><li>
Deep understanding of distributed systems, event-driven architecture, and async messaging patterns at consumer scale.</li><li>
Experience with API governance, API contract management, and establishing standards across engineering teams.</li><li>
Demonstrated ability to drive platform thinking - identifying reuse opportunities, reducing duplication, and shaping shared capabilities across delivery streams.</li><li>
Track record of enabling teams through influence without authority - mentoring engineers, shaping technical direction, and elevating architectural maturity across an organization.</li></ul><br>
USD 163,400.00 - 272,300.00<br>
<br>
<b>Compensation:</b><br>
<br>
Compensation includes a base salary in the range of $163,400.00 - $272,300.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.<br>
<br>
<b>Benefits:</b><br>
<br>
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.<br>
<br>
EOE, including disability/vets</div>

Principal Architect

<div>Cox Automotive's architecture group is reimagining the car-buying and service experience from inventory management, consumer shopping, service, and deal inception to close. The CAI Architecture Team architects and evolves the platforms that power inventory management, deal creation, validation, and service across the retail lifecycle.<br>
<br>
The Lead Architect provides technical leadership for key Cox Automotive products, advancing platform modernization, solution architecture, and AI initiatives across CAI services.<br>
<br>
What You'll Do<br>
<ul><li>
Define and evolve the architectural vision, translating business priorities into durable technical direction across multiple delivery teams</li><li>
Drive solution design from discovery through delivery - shaping epics, validating assumptions, surfacing risks early, and aligning teams to target architecture</li><li>
Partner with engineering, product, and agile leaders to sequence and prioritize architectural investments, balancing near-term delivery with long-term platform health</li><li>
Identify and reduce technical debt in the deal initiation surface, including dependencies on legacy dealer workflow integrations</li><li>
Champion adoption of Cox Automotive's Common tenancy and user management platforms and AWS-native patterns within the value stream</li><li>
Identify and champion the use of generative AI within new products and features, aligning these to the Retail Agentic Platform capabilities and standards</li><li>
Produce and maintain architectural artifacts - roadmaps, decision records, solution diagrams, integration models - that give teams clear, actionable direction</li><li>
Evaluate emerging technologies, including Gen AI tooling, for applicability to deal initiation and structuring use cases</li></ul><br>
Who You Are: Minimum Qualifications<br>
<ul><li>
Bachelor's degree in a related discipline and 6 year's experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience; or 18 years' experience in a related field.</li><li>
Proven ability to align diverse stakeholders around technical direction, navigate ambiguity, and drive consensus across engineering, product, and business teams.</li><li>
Highly analytical and capable of diving technically deep to rapidly deliver proof-of-concepts and perform experimentation.</li><li>
Breadth of architectural knowledge spanning application, integration, and platform domains, with the ability to connect technical decisions to business outcomes.</li><li>
Extensive technical experience in application architecture and API delivery at scale.</li></ul><ul><li>
Experience developing APIs at scale using GraphQL and/or REST.</li><li>
Experience in full development life cycle with significant experience delivering applications and architecture services in a production environment.</li><li>
Strong familiarity with architecting for and delivering solutions in a public cloud environment (AWS preferred).</li><li>
Hands-on experience with AI technologies and concepts (LLMs, autonomous agents, vector databases, model selection, agent-based architecture, data pipeline, AI-assisted PDLC, etc.)</li><li>
Experience working within DevOps cultures, with a focus on process improvement, automation, and continuous delivery.</li><li>
Strong proficiency with relational and non-relational database technologies (Oracle, SQL Server, MySQL, MongoDB, DynamoDB, PostgreSQL, Redis, Elasticsearch, graph datastores, etc.), especially for information processing and exchange.</li><li>
Experience developing software in Python, Node.js, and other languages (Java, Scala, C#, etc.).</li></ul><br>
Preferred Qualifications<br>
<ul><li>
Proven ability to identify and select appropriate application and data systems for varied workloads - integrations, processing, APIs, and operational reporting.</li><li>
Deep understanding of distributed systems, event-driven architecture, and async messaging patterns at consumer scale.</li><li>
Experience with API governance, API contract management, and establishing standards across engineering teams.</li><li>
Demonstrated ability to drive platform thinking - identifying reuse opportunities, reducing duplication, and shaping shared capabilities across delivery streams.</li><li>
Track record of enabling teams through influence without authority - mentoring engineers, shaping technical direction, and elevating architectural maturity across an organization.</li></ul><br>
USD 122,600.00 - 204,400.00 per year<br>
<br>
<b>Compensation:</b><br>
<br>
Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.<br>
<br>
<b>Benefits:</b><br>
<br>
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.<br>
<br>
EOE, including disability/vets</div>

Lead Architect

Cognizant

ob Summary
<br>We are seeking an AI First Engineer with deep Oracle SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AI enabled engineering practices. The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code
<br><br>
Responsibilities
<br>We are seeking an AI First Engineer with deep Oracle SCM expertise and a proven track record of applying AI across the entire Software Development Lifecycle SDLC This role is focused on transforming how Supply Chain applications are designed developed tested deployed and supported through AI enabled engineering practices
<br>The ideal candidate is not simply an Oracle SCM developer who occasionally uses AI tools but an engineer who consistently leverages AI technologies to improve productivity code quality testing efficiency operational support and overall software delivery outcomes
<br>The role will drive AI powered development and modernization initiatives across Oracle SCM Cloud and or Oracle EBS applications
<br>Candidates should be able to demonstrate and quantify measurable business outcomes achieved through AI adoption including reduced development cycle times improved code quality lower testing effort accelerated deployments and faster issue resolution
<br>Key Responsibilities
<br>AI Fueled Software Engineering Across the SDLC
<br>Apply AI enabled engineering practices throughout all phases of the software lifecycle
<br>1AIAssisted Requirements Solution Design
<br>Leverage AI and LLM technologies to analyze business requirements BRDs user stories process flows and SCM functional specifications
<br>Generate technical designs impact assessments traceability matrices solution alternatives and effort estimates using AI assisted workflows
<br>Utilize AI to accelerate fit gap analysis and quarterly Oracle Cloud upgrade impact assessments
<br>Apply AI driven knowledge discovery to reduce analysis and design cycle times
<br>2AIdriven code generation and refactoring
<br>Use GitHub Copilot Oracle Code Assist Agentic AI frameworks and similar tools to accelerate development across PLSQL Java JavaScript Groovy VBCS OIC and APEX
<br>Implement AI assisted code generation code optimization refactoring reverse engineering and legacy modernization initiatives
<br>Develop Oracle SCM customizations integrations extensions reports and automation solutions using AI enabled development practices
<br>Apply AI to automate integration mappings API creation report generation and technical documentation
<br>3AIassisted testing test automation and regression strategies
<br>Build AI powered testing strategies covering functional integration regression performance and user acceptance testing
<br>Utilize AI for automated test case generation test data creation defect identification and test maintenance
<br>Implement AI enhanced regression testing frameworks to support Oracle Cloud quarterly releases
<br>Leverage AI tools for defect triage root cause analysis and predictive quality insights
<br>4AIenabled DevOps code review documentation generation and operational support
<br>Integrate AI assisted code reviews security analysis static code scanning and quality gates into CICD pipelines
<br>Utilize AI to generate deployment documentation release notes implementation guides and operational runbooks
<br>Apply AI powered monitoring and analytics to assess Oracle quarterly release readiness and business impact
<br>Support AI driven deployment automation and environment management practices
<br>5Experience with GitHub Copilot Agentic AI frameworks prompt engineering RAG patterns and AI assisted developer workflows
<br>GitHub Copilot
<br>Oracle Code Assist
<br>ChatGPT
<br>Claude
<br>Agentic AI frameworks
<br>OCI Generative AI
<br>6Oracle SCM Technical Expertise
<br>Strong handson experience with Oracle SCM Cloud and or Oracle EBS applications
<br>Business Impact Measurement
<br>Ability to quantify and communicate outcomes from AI adoption including
<br>Development cycle time reduction
<br>Improved code quality
<br>Reduced defect rates
<br>Reduced testing effort
<br>Faster deployment cycles
<br>Faster incident resolution
<br>Increased developer productivity

AI First Engineer – Oracle SCM Applications Suite

Omnissa

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  We are Omnissa!
 </strong>
 <br/>
 <br/>
 Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions&mdash;including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security &amp; Compliance&mdash;into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.
 <br/>
 <br/>
 Guided by our Core Values&mdash;
 <strong>
  Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value
 </strong>
 &mdash;we&rsquo;re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we&rsquo;d love to hear from you.
 <br/>
 <br/>
 At Omnissa, we are committed to maintaining a fair, consistent, and secure hiring process for all candidates. As part of this approach, we use standard interview and verification practices designed to ensure alignment and protect both candidates and the organization. These practices are applied thoughtfully and with respect for candidate privacy.
 <br/>
 <br/>
 <strong>
  What is the opportunity?
  <br/>
  <br/>
 </strong>
 Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the
 <strong>
  AI Platform Team
 </strong>
 , the group responsible for building foundational AI capabilities across the Omnissa product ecosystem.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Staff Machine Learning Engineer
 </strong>
 , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors. You&rsquo;ll work closely with engineering and product teams to operationalize models across our cloud scale environment while driving best in class ML engineering practices. You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown:
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and deploy machine learning models for classification, prediction, anomaly detection, and intelligent automation.
  </li>
  <li>
   Build and maintain scalable data pipelines for model training, evaluation, and real time/batch inference.
  </li>
  <li>
   Optimize ML models and pipelines for performance, scalability, reliability, and cost efficiency.
  </li>
  <li>
   Collaborate with cross functional teams to integrate ML solutions into core platform features and services.
  </li>
  <li>
   Conduct model experimentation, evaluation, and iteration using quantitative metrics and A/B testing as needed.
  </li>
  <li>
   Implement model observability, monitoring, and drift detection to ensure production reliability.
  </li>
  <li>
   Stay current with advancements in machine learning, AI, and LLM technologies, and apply them to product use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What will you bring to Omnissa?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in machine learning engineering or data science roles.
  </li>
  <li>
   Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikitlearn).
  </li>
  <li>
   Experience building and operating data processing workflows (batch or streaming) and working with cloud platforms (AWS, Azure, or GCP).
  </li>
  <li>
   Solid understanding of machine learning algorithms, statistics, and model evaluation techniques.
  </li>
  <li>
   Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  </li>
  <li>
   Handson experience with Large Language Models (LLMs), including finetuning, prompt engineering, and deployment.
  </li>
  <li>
   Knowledge of text embedding models, and vector databases for Retrieval Augmented Generation (RAG) systems
  </li>
  <li>
   Strong problem-solving skills and the ability to collaborate effectively in Agile teams.
  </li>
  <li>
   Highly motivated, adaptable, and eager to learn new technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed computing frameworks (e.g., Spark, Ray).
  </li>
  <li>
   Experience with orchestration frameworks (e.g., LangChain/LangGraph) to build AI agents and multi-agent systems.
  </li>
  <li>
   Experience building feature stores or working with vector databases.
  </li>
  <li>
   Knowledge of real-time inference architectures and model monitoring systems.
  </li>
  <li>
   Experience developing scalable ML services via REST/gRPC.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
 </strong>
 Mountain View, CA or Atlanta, GA
 <br/>
 <br/>
 <strong>
  Location Type:
 </strong>
 hybrid
 <br/>
 <br/>
 <strong>
  Travel Expectations:
 </strong>
 None
 <br/>
 <br/>
 <strong>
  Education:
 </strong>
 Bachelor's Degree preferred, or equivalent combination of education and relevant professional experience.
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 <em>
  The typical base salary for this role is between USD $162,512 &ndash; $342,750 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
  <br/>
  <br/>
 </em>
 <strong>
  Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
  <br/>
  <br/>
 </strong>
 Omnissa is committed to the principle of equal employment opportunity and to providing a work environment free of discrimination and harassment. All employment decisions at Omnissa are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, ancestry, ethnicity, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past, present, or prospective service in the uniformed services, family medical history or genetic information, family or parental status, veteran status, or any other status protected by applicable laws or regulations in the locations where we operate. Omnissa will not tolerate discrimination or harassment based on any of these characteristics. Omnissa welcomes applicants of all ages. Omnissa will provide reasonable accommodations to applicants and employees who have protected disabilities consistent with applicable federal, state and local law.
</div>


Staff Machine Learning Engineer

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