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Senior Interactive Experience Developer / Creative Coder

Location: Portland, Oregon | Hybrid (3 days in office)

Tandem Talent is partnering with an innovative, globally active creative technology company to recruit a Senior Interactive Experience Developer / Creative Coder. This role is ideal for a developer who enjoys combining strong programming skills with creativity to build immersive digital experiences that exist beyond traditional screens.

You will collaborate with designers, UX strategists, and fellow developers to create interactive environments used in corporate spaces, museums, universities, sports venues, and cultural institutions worldwide. The work focuses on developing experiences that blend digital and physical environments through interactive displays, sensing technologies, and responsive systems.

This is an opportunity to work with advanced technology while helping bring ambitious creative concepts to life in real-world environments.

The Role

As a Senior Interactive Experience Developer, you will play a key role in designing and building innovative front-end and interactive systems. You will work closely with multidisciplinary teams to develop engaging experiences, prototype new ideas, and help shape technical best practices.

Key responsibilities include:

• Leading front-end development for client projects and internal innovation initiatives
• Experimenting with emerging technologies and frameworks to create new digital experiences
• Defining and maintaining coding standards and development best practices
• Mentoring junior developers and supporting collaborative problem-solving
• Conducting project reviews to ensure technical performance and creative quality
• Producing documentation that supports both technical and non-technical stakeholders
• Working within development tools including Atlassian, GitHub, MS Teams, Visual Studio, and Figma
• Supporting installations and client projects, including occasional travel for site visits (approximately 2–3 per year)

What We’re Looking For

The ideal candidate combines strong programming capability with an interest in creative technology and immersive environments.

Required experience:

• Strong programming foundation with experience in creative coding and visual development
• Experience with digital creation platforms such as TouchDesigner, Notch, Pixera, Unreal, or Unity
• Programming experience with languages and APIs including Qt/QML, JavaScript (Three.js, WebGL, Canvas), Python, or Unreal Blueprint/C++
• Strong browser-based development experience, particularly building creative in-browser experiences
• Portfolio demonstrating engaging digital work beyond standard web applications
• Graphics programming experience using OpenGL/GLSL, Vulkan, or DirectX and understanding of the graphics pipeline
• Experience using Git/GitHub for collaborative development
• Experience designing touch interfaces or other natural user interaction systems
• Ability to rapidly prototype concepts and develop them into production-ready code
• Understanding of UX principles and how technical decisions influence user experience
• Strong communication and collaboration skills across technical and non-technical teams
• Curiosity, creativity, and enthusiasm for exploring new technologies

Desirable experience:

• Experience working with interactive hardware, sensors, or immersive technologies.

The Opportunity

This position offers the chance to work on highly creative and technically challenging projects that reach audiences globally. Developers in this team build experiences that appear on interactive display walls, projection-mapped environments, and sensor-driven installations that respond to people and environments in real time.

You will be working within a collaborative, multidisciplinary team where ideas are encouraged and technical experimentation is part of the culture.

Location

Hybrid role based in Portland, Oregon, with three days per week in the office.

Please note that visa sponsorship is not available for this position.

If you are interested in combining technical expertise with creative problem solving to build immersive digital experiences, Tandem Talent would be pleased to hear from you.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: Java Backend Developer

Location: Alpharetta, GA

Job Description:

VisionNext/VisionPlus/Cards or Payments Experience is needed

Java, Spring Boot Microservices with Knowledge on AWS

Key Responsibilities

• Design, develop, and optimize backend services for card payments and transaction systems, ensuring low latency, fault tolerance, and multi-region resiliency.

• Build high-throughput APIs and microservices using modern Java frameworks (Spring Boot, Reactor).

• Collaborate closely with product, architecture, and SRE teams to evolve Vision Next / VisionPLUS services for cloud-native, real-time scalability.

• Use AWS services (ECS, Lambda, RDS, ) to architect resilient, secure, and observable applications.

• Write efficient algorithms for transaction routing, settlement, reconciliation, or fraud-detection modules.

• Contribute to system design sessions and architecture decisions, applying deep reasoning to scalability trade-offs, consistency models, and data partitioning.

• Evaluate and optimize application throughput, concurrency handling, and API lifecycle management across multi-region clusters.

• Implement DevOps and CI/CD automation for build, test, and deployment pipelines (GitHub Actions, Jenkins, or CodePipeline).

• Mentor junior engineers, conduct code reviews, and drive engineering excellence through reusable design patterns.

Required Qualifications

• Bachelor’s or master’s degree in computer science or related field.

• 7+ years of backend engineering experience in payments, fintech, or high-transaction enterprise systems.

• Strong proficiency with Java / Spring Boot, data structures, algorithms, and system-level design principles.

• Solid understanding of AWS core services and architectural best practices for scalable distributed systems.

• Experience with multi-region, active-active, or near-real-time architectures for payment or settlement systems.

• Deep debugging, profiling, and performance optimization skills in concurrent, distributed environments.

• Strong analytical reasoning and data-driven problem-solving mindset.

Preferred Qualifications

• Expertise in Python programming for backend development and automation.

• Experience with Vision Next or Vision PLUS modules (CMS, ASM, or TRAMS) or other card processor platforms.

• Familiarity with payment rails (Visa, Mastercard, RTP, ACH) and transaction lifecycle management.

• Knowledge of Kafka, Redis, or Aerospike for event-driven processing and caching.

• Exposure to container orchestration (ECS, EKS, or Kubernetes) and observability platforms (Grafana, Datadog, or OpenTelemetry).

• Understanding of PCI-DSS, data encryption, and regulated financial data operations.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

It All Starts with Our People

As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.

Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.

How You'll Make a Difference

Valvoline has a rewarding opportunity as a Director, Quality Engineering. In this role, you’ll be a strategic and hands-on leader who will drive the transformation of quality across our technology organization. This leader will be responsible for building and scaling a modern Quality Engineering function that goes beyond traditional QA, with ownership spanning QA environments, test automation, AI-enabled quality practices, quality governance, best practices, and the establishment of a Quality Engineering Center of Excellence (COE).

The ideal candidate will bring a strong blend of leadership, technical depth, operating model design, and change management, with the ability to embed quality throughout the software development lifecycle. This role will partner closely with Engineering, Product, Architecture, Infrastructure, Security, and Delivery teams to create a scalable, efficient, and forward-looking quality strategy that supports speed, reliability, and business growth.

Key Responsibilities

Quality Engineering Strategy & Leadership

• Define and lead the enterprise Quality Engineering vision, strategy, and roadmap aligned to Valvoline’s broader technology and business priorities.
• Shift the organization from traditional testing approaches to a modern quality engineering model focused on prevention, automation, continuous validation, and measurable quality outcomes.
• Establish quality as a shared responsibility across product, engineering, and delivery teams while maintaining strong governance and standards.
• Lead, mentor, and grow a high-performing team of quality engineers, automation engineers, and QA leaders.

QA Center of Excellence (COE)

• Build and operationalize a Quality Engineering Center of Excellence (COE) to define frameworks, standards, tooling, reusable assets, and governance processes.
• Create enterprise-wide best practices for test design, automation, environment strategy, defect management, release readiness, and quality metrics.
• Standardize quality processes across portfolios while allowing for flexibility based on product and platform needs.
• Develop playbooks, templates, training, and maturity models to improve quality capability across teams.

Automation & Tooling

• Define and execute an enterprise test automation strategy across UI, API, integration, data, regression, performance, and end-to-end testing.
• Drive adoption of scalable automation frameworks and ensure integration with CI/CD pipelines and DevOps practices.
• Evaluate, select, and optimize quality tools and platforms to improve speed, coverage, traceability, and reporting.
• Increase automation efficiency and effectiveness by implementing reusable components, common libraries, and engineering best practices.

AI-Enabled Quality Engineering

• Lead the adoption of AI and intelligent automation within quality engineering, including opportunities such as:

test case generation

intelligent defect triage

predictive risk analysis

self-healing automation

release quality insights

test optimization and prioritization

• Assess emerging AI capabilities and define practical use cases that improve quality outcomes, team productivity, and speed to market.
• Partner with engineering and architecture leaders to ensure AI solutions are implemented responsibly, securely, and at scale.

QA Environments & Test Data Management

• Own the strategy for QA environments, including environment planning, availability, stability, governance, and optimization.
• Partner with infrastructure and platform teams to improve environment readiness, reduce bottlenecks, and support parallel delivery.
• Establish strong processes for test data management, environment provisioning, and integration dependency coordination.
• Drive improvements in environment monitoring and readiness reporting to reduce delays and improve release confidence.

Governance, Metrics & Best Practices

• Define and implement quality KPIs, SLAs, dashboards, and scorecards to provide visibility into quality performance, automation maturity, defect trends, release risk, and environment health.
• Set standards for quality gates, entry/exit criteria, defect leakage reduction, root cause analysis, and continuous improvement.
• Build a culture of measurable quality and operational discipline through governance routines, audits, and executive reporting.
• Ensure best practices are embedded into agile delivery, DevSecOps, and release management processes.

Sourcing & Vendor Management

• Define the sourcing strategy for quality engineering capabilities, including the right balance of internal talent, strategic partners, and offshore/onshore vendor models.
• Lead vendor evaluation, selection, governance, and performance management related to quality engineering and testing services.
• Optimize spend, capability, and service quality across external partners while ensuring alignment to Valvoline standards and delivery expectations.
• Build workforce strategies that support both immediate delivery needs and long-term capability development.

Cross-Functional Partnership

• Partner with Product, Engineering, Infrastructure, Security, Architecture, and PMO leaders to embed quality into planning, design, development, and release processes.
• Influence senior stakeholders on quality investments, transformation priorities, and operating model improvements.
• Support mission-critical initiatives by ensuring strong quality planning, risk management, and execution.

What You’ll Need to Succeed

Qualifications

• 10+ years in software quality engineering
• 5+ years leading enterprise QA teams
• Experience in high-volume retail, omnichannel, or consumer-facing environments strongly preferred
• Deep experience with:

Automation frameworks (Selenium, Cypress, Playwright, etc.)

API testing tools

CI/CD tools

Performance testing tools (JMeter, LoadRunner, etc.)

• Experience leading QA in Agile/SAFe or hybrid environments
• Experience using agentic tools for test development and integrating work with agentic code development (ie: Github Copilot, Claude code)
• Proven track record reducing defect escape rates

Leadership Competencies

• Enterprise systems thinker
• Data-driven decision maker
• Builder of scalable processes
• Collaborative but boundary-setting partner
• Comfortable operating in fast-paced retail cycles
• Must be authorized to work in the U.S.

We Take Care of the WHOLE You

• Health insurance plans (medical, dental, vision)
• HSA and flexible spending accounts
• 401(k)
• Incentive opportunity*
• Life insurance
• Short and long-term disability insurance
• Paid vacation and holidays*
• Employee Assistance Program
• Valvoline Instant Oil Change discounts
• Tuition reimbursement*
• Adoption assistance*

*Terms and conditions apply, and benefits may differ depending on position.

Your Path to Valvoline

Valvoline 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.

Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.

The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.

• Architect, build, and maintain a robust application management and loan repayment platform, ensuring scalability, performance, and maintainability across front-end and back-end systems
• Leverage full-stack engineering skills to contribute alongside team and build a polished & accessible end-user experience that tens of thousands of students and program administrators love, and develop best of breed API on reliable infrastructure for our partners to leverage
• Set best practices for code quality, system design, and security while mentoring engineers and conducting code reviews
• Oversee 2-3 engineers' day-to-day operations with the support of the Director of Engineering
• Work with cross-functional stakeholders to define and prioritize work, break down large initiatives into achievable milestones, and balance technical debt with new feature development
• Spec out stories with the engineering team and product leadership, and lead the team in continually reflecting on how to better deliver value and operate as a team
• Foster a strong engineering culture through collaboration, knowledge sharing, and continuous improvement.
• Participate in future on-call rotations and ensure by building self-healing and resilient systems and leveraging infrastructure as code and monitoring tools that our systems are highly available

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent bootcamp or upskilling program experience
• Hands-on experience managing CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or similar) and ownership of deployment strategies, release management, and production monitoring
• Experience working closely with Product teams to define technical requirements and Compliance teams to ensure regulatory adherence in financial services or similarly regulated environments.
• Ability to clearly articulate technical trade-offs, align stakeholders, and make informed decisions under ambiguity.
• 4+ years working in a SaaS startup regularly building and owning the complete E2E technology stack for Web Application (Frontend + Backend + Cloud + CI/CD)
• Deep experience with a combination of the following technologies:
• Javascript & TypeScript (React, NextJS, Recoil (other state management libraries)), Python (Django, Flask, FastAPI, etc.), HTML, CSS
• Databases: SQL (we use PostgreSQL)
• Cloud: AWS or Google Cloud experience
• Design: We use Figma; understanding of responsive design
• DevOps: Experience with CI/CD and modern cloud and container tooling

• Modern tech stack with the ability to have impact to many different user personas - recruiters, students and more
• High autonomy working in a highly collaborative team
• Can grow into a more formal people management role - expectation though is to be very hands on
• Step into being a 10x engineer and ride the AI wave with a team doubling down on how this technology allows us to focus on harder problems and solve for our customer's needs without compromising on quality

We are looking for an experienced QA Manager with 10+ years of experience in software quality assurance and a strong background in leading QA teams, test automation, and performance testing. The ideal candidate will be responsible for defining and implementing QA strategies, managing test processes, and ensuring high-quality software delivery across multiple projects. This role requires hands-on expertise with automation frameworks such as Selenium and Playwright, as well as experience with load testing and test management tools.

Key Responsibilities

• Lead and manage the QA team, including QA engineers, automation engineers, and test analysts.
• Define and implement QA strategy, testing standards, and best practices across projects.
• Design and oversee automated testing frameworks using tools such as Selenium, Playwright, or similar technologies.
• Ensure comprehensive test coverage across functional, regression, integration, and performance testing.
• Collaborate with product managers, developers, and DevOps teams to ensure quality throughout the SDLC.
• Implement continuous testing practices within CI/CD pipelines.
• Manage and monitor test planning, execution, defect tracking, and reporting.
• Oversee load testing and performance testing activities using industry-standard tools.
• Ensure proper usage of test management tools for test case management, traceability, and reporting.
• Identify quality risks and proactively implement mitigation strategies.
• Drive automation-first testing strategies to improve efficiency and reduce manual testing efforts.
• Conduct QA metrics analysis and reporting to leadership.
• Mentor and coach QA team members to improve technical and testing skills.

Required Skills

• 10+ years of experience in Software Quality Assurance, including 3–5 years in a leadership or QA management role.
• Strong hands-on experience with test automation tools such as Selenium and Playwright.
• Experience developing and maintaining automation frameworks.
• Experience with performance and load testing tools (e.g., JMeter, LoadRunner, Gatling, or similar).
• Experience using test management tools such as TestRail, Zephyr, qTest, or similar.
• Strong understanding of SDLC, STLC, and Agile/Scrum methodologies.
• Experience integrating automation into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, etc.).
• Experience with API testing tools such as Postman or RestAssured.
• Strong knowledge of defect management processes and tools such as Jira.
• Excellent leadership, communication, and stakeholder management skills.
• Experience with microservices architecture and API-driven systems.
• Familiarity with containerized environments (Docker, Kubernetes).
• Exposure to security testing and DevSecOps practices
• Banking and Financial domain experience is plus

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup