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Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

About the Company: MediaTek Incorporated is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. MediaTek is the number one Wi-Fi supplier across broadband, retail routers, consumer electronics devices and gaming, and its Wi-Fi 6 chipsets are powering the latest networking equipment for faster computing experiences. MediaTek's Intelligent Software Development Business Unit is Hiring a Software Architect – Audio and Multimedia.

About the Role: In This Role, You Will

• Research and develop Deep learning-based systems to solve problems in In-vehicle domains like Speech, UI, and multimodality-based ADAS systems.
• Lead the integration of AI Frameworks and tools for automotive use cases, driving cutting-edge development and innovation.
• Work with the Silicon and Software engineering teams in HQ(Taiwan), and automotive customers to provide technical solutions for GAI and LLM based requirements.
• Analyze and Optimize LLMs for available compute i.e., GPUs, and NPUs: Conduct comprehensive analyses of models, identifying and proposing critical improvements and optimizations at both the model and framework levels, advancing performance and effectiveness at deployment on embedded systems.
• Closely track industry and academia advancement in relevant AI technologies.

Qualifications:

• Master's degree in Computer Science, Electrical Engineering, Mathematics, and a minimum 10 years of overall software engineering experience including 4 years of experience directly related to this role.
• Machine Learning and Deep Learning Acumen: You bring strong knowledge of key concepts and have practical experience of working with popular frameworks like TensorFlow, PyTorch, NEMO, TAO, TensorRT, CUDA, and vLLM, positioning you at the forefront of AI innovation.
• You have detailed hands-on experience of optimizing state of the art models for edge devices considering latencies, memory bandwidth, and CPU vs NPU tradeoffs.
• Proficiency in programming languages such as C, C++, and Python.
• Hands-on experience with embedded software, RTOS, and microcontrollers.
• Hands-on experience with camera/lidar perception model implementation, training, and deployment on the edge.
• Familiar with training data preparation and open-source data sets.
• Familiar with In-vehicle AI based Speech, Voice, or ADAS / AD technical stack.
• Experience with automotive functional safety (ISO26262) and security standard (ISO 21434) standards
• Thriving in fast-paced agile environments, able to adept the turning ideas into reality, and achieving results swiftly.

Pay range and compensation package: Base Salary range: $180,000- $300,000. Employee may be eligible for performance bonus, short and long term incentive programs. Actual total compensation will be dependent upon the individual's skills, experience and qualifications. In addition, MediaTek provides a variety of benefits including comprehensive health insurance coverage, life and disability insurance, savings plan, Company paid holidays, Paid time off (PTO), Parental leave, 401K and more.

Equal Opportunity Statement: MediaTek is an Equal Opportunity Employer that is committed to inclusion and diversity to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.

Overview

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Oracle Fusion Developer to play a key role within a high-impact technical services team.

Work Location:

• 100% Remote

Responsibilities

The Worker(s) will provide the following services:

Perform highly complex Systems Analyst work as a member of the IT Enterprise Project Office and Emerging Technologies team, overseeing one or more projects concurrently. Perform technical and analytical work in support of an Oracle Fusion Recruiting Cloud implementation. Extensive hands-on experience in support of Cloud Recruiting implementation, optimization, stabilization, and ongoing operation. This role is the bridge between business stakeholders and technical delivery teams to create a scalable, supportable Recruiting Cloud solution. Analyze system configuration, and confidently guide stakeholders toward standard, sustainable solutions. Coordinate with project teams to identify process issues and work with developers on configuration and design which provide solutions. Work is accomplished in a highly collaborative environment. Perform other duties as assigned to maintain operations.

Qualifications

Minimum Requirements:

4-7 years of:

• Experience as a systems analyst in a technical or programmer analyst role with Oracle Fusion Cloud Human Capital Management (HCM). Strong understanding of: Oracle Fusion configuration vs. customization, Functional setup tasks and workflows, Role-based security concepts, and Hands-on experience in configuration, design, implementation, and production support of Oracle HCM Cloud, with specific experience with the Cloud Recruiting module.
• Skill designing Oracle HCM integrations with other systems, such as with PeopleSoft HCM and mainframe ATS applications for complex real-time and batch data synchronization.
• Oracle integration toolset: including Oracle Integration Cloud (OIC) for API integration, Oracle Data Integrator (ODI) for ETL, and Oracle Managed File Transfer (MFT) for secure file handling
• Experience with vendor management in software project setting. Guide consulting resources and validate the recommended approach and design meets business needs
• Demonstrated ability working with stakeholders and development team; Experience facilitating productive meetings which convert business requirements into technical solutions
• Reporting & Analytics: familiar with custom reports and dashboards using Oracle Transactional Business Intelligence (OTBI) and BI Publisher
• Experience with Oracle updates and patches
• Testing & Validation: experience with user acceptance testing, defect triage, and data validation
• Thorough knowledge of software development life cycle methodologies

Preferred Qualifications:

2 years of:

• Oracle Taleo Applicant Tracking System and Taleo Connect Client (TCC)
• Certified Oracle Fusion HCM / Recruiting
• Experience with the Python scripting language
• Centralized Accounting and Payroll/Personnel System for Texas (CAPPS)
• Experience with Oracle AI Agents, including leveraging AI-driven capabilities to enhance business process automation, insights, and decision-making

• Includes Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), API security testing, AI/ML platforms, and penetration testing
• Ensuring compliance with industry standards such as OWASP Top10, CWE, CVE, and NIST guidelines

Required Technical Knowledge& Competencies

• Expertise in SAST, DAST, API security testing, and penetration testing.
• Strong programming knowledge (Java, .NET, Python, JavaScript) for code level analysis,
• Background of Development
• Build, maintain, and secure automation pipelines using tools like Jenkins, GitLab CI, or GitHub Actions, ensuring security scans occur at every code commit.
• Implement and manage security tools, including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Container Security (e.g., Trivy), and dependency scanning
• Use tools like Terraform or Ansible to deploy secure, compliant infrastructure.
• Proactively identify, prioritize, and remediate security vulnerabilities in application code and infrastructure.
• Ensure compliance with industry standards (e.g., PCI-DSS, GDPR) by embedding compliance-as-code into the development workflow.
• Act as a security advocate, working with DevOps and Development teams to foster a \"security first\" culture. Familiarity with cloud security testing (AWS, Azure, GCP),
• Experience with container security (Docker, Kubernetes),
• Excellent communication and stakeholder management skills.

Qualifications

• Bachelor's degree in computer science, Information Security, or related field,
• 6-8 years of IT experience, with at least 5+ years in application security testing.
• Preferred certifications: OSCP, CEH, GWAPT, CISSP

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title: Embedded AI Engineer

Location: Sunnyvale, CA

Employment Type: 6+ Month Extendable Contract

Pay Range: USD 70-80/HR

- Role Overview/Job Responsibilities

About this opportunity – Embedded AI Engineer We are seeking an experienced Embedded AI Engineer to join our team in validating PyTorch-based Large Language Models (LLMs) using CUDA SDK APIs. The successful candidate will be responsible for debugging, extending, and replacing the underlying CUDA code to ensure seamless functionality on our company-specific AI processors.

Key Responsibilities:

● Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs

● Debug and troubleshoot issues related to CUDA code integration with PyTorch models

● Extend and modify CUDA code to optimize performance on company-specific AI processors

● Replace existing CUDA code with custom implementations to meet specific requirements

● Collaborate with cross-functional teams to ensure successful integration of LLMs with company-specific AI processors

● Develop and maintain validation frameworks and tools for PyTorch-based LLMs

● Analyze and optimize the performance of LLMs on company-specific AI processors Requirements

● Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields

● Strong experience with CUDA programming and PyTorch framework

● In-depth knowledge of deep learning models, particularly Large Language Models (LLMs)

● Proficiency in C++ and Python programming languages

● Experience with debugging and troubleshooting complex software issues

● Excellent problem-solving skills and attention to detail

● Strong communication and collaboration skills

Nice to Have:

● Experience with AI processor architecture and design

● Knowledge of other deep learning frameworks, such as TensorFlow

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are looking for Business Process Consultant - Analytics Consulting with a good blend of business consulting skills and data analytics background.

Responsibilities:

The Process Consultant will be responsible for detailed current state analysis and data capture, working closely with underwriting teams and subject matter experts.

Leading current state process mapping of underwriter desktop and application usage through direct observation and structured discussions.

Documenting workflows, navigation paths, handoffs, and system interactions in a clear and consistent manner.

Coordinating and executing time and motion studies, including data collection and validation.

Reviewing existing standard work and operating procedure documentation to understand intended workflows and identify gaps versus actual practice.

Developing and maintaining core process artifacts, including SIPOC diagrams, value stream maps, and control frameworks.

Collaborating with subject matter experts to validate findings, confirm assumptions, and obtain formal signoff on documented processes and insights

Work on the latest applications of data science to solve business problems

Work directly with client stakeholders to translate business problems into high level analytics solution designs

Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.

Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights

Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

Requirements

Ability to engage with executive/VP-level stakeholders from client's team to translate business problems to high level analytics solution approach

Solid understanding of statistical and machine learning algorithms

Strong project management and team management skills and ability to work with global teams

Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau

Exposure to cloud platforms and big data systems such as Hadoop, HDFS, Hive is a plus

Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes

Bachelor's in Business Analytics or equivalent work experience.

MUST BE LOCAL TO SOUTH FLORIDA

2nd interview onsite If you cannot do an onsite interview, please do not apply.

POSITION INFORMATION

Reports To: Senior Manager, Security Architecture

Division: Global Cybersecurity Services

Department: Security Architecture

Job Location: South Florida

LEADERSHIP / SUPERVISORY RESPONSIBILITY

• Direct Reports: No
• Hiring/Firing: No
• Promoting: No
• Compensating: No
• Training: No
• Budgeting: No
• Disciplining: No
• Scheduling: No
• Measuring Performance: No

BUDGETARY RESPONSIBILITY

• Administering Budgets: No
• Setting Budgets: No
• Monitoring Expenses: No
• Authorizing Payments: No
• Securing Equipment/Goods: No

SCOPE

• Collaborate with both shoreside and operational teams
• Global responsibilities across multiple business units

JOB SUMMARY

The Cloud Cybersecurity Architect is responsible for the development of technical security design specifications, integration standards, security requirements, and implementation of appropriate cloud security architectures to mitigate risk across enterprise cloud environments. This role works across global business units under the guidance of senior cloud security leadership to drive cloud security strategy, posture, and governance.

ESSENTIAL FUNCTIONS

#Responsibility% of Time

1

Support IT teams and business stakeholders in optimizing the use of Cloud Security Posture Management (CSPM) tools.

30%

2

Research, test, and implement cloud security guardrails.

20%

3

Document and transition cloud security posture reporting to operational teams.

5%

4

Define and maintain cloud security policies, standards, and procedures.

5%

5

Provide security architecture and consulting services to business units and IT teams, including threat modeling, risk assessments, and security design reviews for cloud-based systems (AWS, Azure, GCP, OCI, or hybrid environments).

15%

6

Review network designs, application data flows, and system integrations in cloud environments to ensure compliance with security policies, standards, and industry best practices.

10%

7

Assist in creating high-level network designs for security tools and reference architecture documentation.

5%

8

Contribute to the design and evolution of multi-cloud security strategy.

5%

9

Support and mature cloud security review intake processes.

5%

The above statements describe the general nature and level of work and are not an exhaustive list of all responsibilities. Duties may be added or modified as business needs evolve.

QUALIFICATIONS

Minimum Education

• Bachelor's degree in Cybersecurity, Computer Science, or a related field
• Master's degree is a plus

Required Experience

• 5+ years of cloud cybersecurity experience in a large enterprise environment
• Strong understanding of major cloud platforms and their core services (AWS, Azure, GCP, etc.)

Required Technical Skills

• Familiarity with cloud security principles including networking, IAM, data protection, infrastructure security, and logging/monitoring
• Strong understanding of DevOps principles and experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
• Working knowledge of Python
• Solid understanding of cybersecurity risks in architectural designs and the ability to recommend effective mitigating controls

Preferred Experience

• Experience with Cloud Security Posture Management (CSPM) tools (e.g., Orca)

Knowledge, Skills & Abilities

• Proven experience in security architecture and designing secure systems capable of withstanding cyber threats
• Ability to communicate cybersecurity architecture concepts to non-technical stakeholders
• Understanding of AI-related cybersecurity risks

• Architecting, implementing, and supporting AWS infrastructure services with a focus on scalability, cost efficiency, and operational excellence
• Administering and optimizing VMware vCenter environments, including ESXi hosts, clusters, storage platforms, and virtual networking
• Troubleshooting complex infrastructure issues across compute, storage, and network layers
• Designing and maintaining AWS and VMware networking configurations (VPCs, subnets, routing, VLAN/VDS, security groups, and hybrid connectivity)
• Partnering with Network Engineering to align cloud and on-prem connectivity, routing, access control, and data center network strategy
• Supporting both Windows and Linux server environments, including OS configuration, lifecycle management, and performance tuning
• Managing Active Directory, DNS, DHCP, and related identity and infrastructure services
• Creating and maintaining documentation, runbooks, diagrams, and automation to improve operational maturity
• Contributing to broader systems administration and infrastructure engineering initiatives aligned with the organization's technology roadmap

• 5–8+ years of experience supporting production AWS and VMware vCenter environments
• Strong knowledge of AWS services, cloud networking, IAM, and architectural best practices + AWS Solutions Architect certification (Associate level or higher)
• VMware Certified Professional (VCP) or equivalent certification
• Hands-on expertise with VMware ESXi, HA/DRS, networking, storage integrations, and performance optimization
• Experience administering Windows Server and Linux operating systems
• Proficiency with Active Directory, DNS, DHCP, and core infrastructure services
• Scripting or automation experience using PowerShell, Bash, Python, or similar tools
• Strong communication skills and the ability to collaborate effectively across technical teams

• Experience with Infoblox for DNS, DHCP, and IPAM management
• Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation
• Experience with Okta, hybrid identity solutions, SSO/IAM architectures, and device trust models
• Knowledge of monitoring and observability tools (e.g., Datadog, CloudWatch, VMware Aria, Elastic)
• Broader systems engineering experience supporting cross-functional initiatives such as patching, configuration management, CI/CD, MDM, or containerized environments

About You:

We are seeking a Senior Software Engineer with strong experience in DO-178C flight software development and avionics integration. In this role, you will design and implement safety-critical autonomous flight software, integrate it with avionics hardware platforms, and contribute to certification-ready development processes.

Responsibilities:

• Develop, integrate, and verify flight-critical software using C/C++ following DO-178C processes.
• Build application-level flight software and ensure robust integration with underlying avionics hardware interfaces
• Create, maintain and review software requirements, code and certification artifacts adhering to certification plans and standards
• Troubleshoot integration issues on test benches and aircraft
• Develop automated workflows for software integration and build processes.
• Collaborate with engineers from cross functional groups such as systems, safety, hardware, flight controls and test to ensure product and program level needs are met.
• Contribute to planning and execution of SOI audits and certification reviews.
• Create and maintain comprehensive documentation for software requirements, architecture, build processes and design decisions
• Support hardware-in-the-loop (HIL), processor-in-the-loop (PIL), and flight testing activities.

Qualifications:

• Bachelor's or Master's in Computer Science, Electrical Engineering, Aerospace, or related field.
• 3-5 years of embedded or flight software development experience within a DO-178C environment.
• Strong proficiency in C/C++ for embedded, real-time, safety-critical systems.
• Understanding of avionics protocols and architectures (ARINC 429, ARINC 653, CAN, MIL-STD-1553, Ethernet).
• Experience designing and implementing software for real-time operating systems (RTOS), with strong knowledge of low level topics such as device driver development, interrupt handling, memory management, and performance estimation.
• Strong experience with requirements management, including authoring high-quality software requirements, maintaining traceability, and using tools such as DOORS, Jama, or Polarion.
• Experience with hardware/software integration, debugging on target hardware, and use of analysis tools (logic analyzers, bus analyzers).
• Experience with Python scripting, tool automation and test automation
• Experience with CI/CD environments and automated code quality checks.

Nice To Have

• Background integrating software across diverse avionics platforms or multicore systems.
• Familiarity with flight controls, autonomy, GNC, or aircraft certification efforts.
• Exposure to MathWorks tools and Model-Based Development workflows (DO-331).
• Prior involvement in SOI audits or FAA/EASA certification programs.

Trident Consulting is seeking a \"Business Operations Analyst\" for one of our clients in \"Pomona, CA – Hybrid (2 days)\" A global leader in business and technology services.

Position: Business Operations Analyst

Location: Pomona, CA – Hybrid (2 days)

Type: Contract

Rate: $34-38/Hr

Day-to-Day Responsibilities/Workload

Stakeholder Engagement & Customer Contact

• Act as the main point of contact between Contractors and customers, facilitating communication, resolving access issues, and coordinating inspection appointments.
• Document and manage customer access challenges, handle notifications and permissions, and ensure all necessary approvals and communications are properly collected and tracked.
• Utilize Customer Contact Information (CCI) to proactively schedule inspections, reducing unnecessary field visits and increasing operational efficiency.
• Maintain and prioritize records of inspection constraints, support process improvements for access management, and track performance using relevant reporting tools.

Constraint Tracking and Exception Processing

• Mapping - Create .kmz and spatial joins in Excel to determine potential access issues related to CROPS, Government Lands, etc.
• Create work orders for released access issues and send them to vendors with notes regarding appointments, gate codes, special instructions, contact info, etc.
• Tracking and oversight of constrained inspections to actively mitigate the potential for non-compliant inspections and not meeting risk mitigation commitment.
• Assist in development and monitoring of data management tools to provide more timely and accurate status reporting to management.
• Identify follow-up actions required by various stakeholders in the inspection workflow.
• An additional resource can take advantage of the data management tools and process improvements being developed, to provide more timely and accurate status reporting to management and to identify follow-up actions required by various stakeholders in the inspection workflow.

Data Analysis and Data Discrepancies

• Validate that inspections are populating in dashboards (SAS, Power BI) and follow through to resolution.
• Identify data discrepancies through SAP, InspectApp, EZYViewer research.
• Communicate with InspectApp/InspectForce team both internal to Inspections and IT regarding sync issues and tracking resolution.

Required Skills/Attributes

Knowledge & Skills

• Data management (data structure and controls design, data querying, and report development)
• Time management (manage resolution of work to align with workflow due dates and inspection due dates)
• Comfortable engaging multiple SMEs across multiple organizations, presenting issues and potential solutions, and securing support and/or buy-in from stakeholders and support partners
• Project tracking from issue ID, causal analysis, solutioning, through resolution of issue
• Data visualization reporting and dashboard development

Software proficiency

• MS Office Suite (Excel), SAS, SAP, PowerBI, SQL, Python, SAP SME
• Help individuals frequently in navigating work orders, maintenance plans, mdocs, FLOC/Equipment data)
• Has prior experience with SAP transformations, especially as it pertains to data cleansing and validation. With S/4HANA transformation, this could be valuable.
• ArcGIS- Join different visual layers/maps (districts, FLOCs, circuits, constrained areas) to create tables of data to work with more effectively

Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: .

Some of our recent awards include:

• Trailblazer Women Award 2025 by Consulate General of India in San Francisco.
• Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe.
• Received the TechServe Excellence award.
• Consistently ranked in the Inc. 5000 list of fastest-growing private companies in America.
• Recognized in the SF Business Times as one of the Largest Bay Area BIPOC/Minority-Owned Businesses in 2022.