Principal engineer jobs in Bolingbrook, IL

WHO WE ARE As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future. TOTAL REWARDS Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program comprehensive medical, dental and vision benefits, including a robust wellness program paid time off for vacation, holidays, and sick days and much more. ***This Engineering role can be filled at the Entry, Mid-level or Senior Engineer level. Please see minimum qualifications list below for each level*** Expected salary range: Entry-Level - $85,000 Mid-Level - $90,000 - $110,000 Sr Level - $117,000- $143,000 Ranges are per year based on experience, along with a comprehensive benefits package that includes bonus and 401K. PRIMARY PURPOSE OF POSITION Responsible for performing engineering and technical tasks, under direct supervision, in support of nuclear plant operations. PRIMARY DUTIES AND ACCOUNTABILITIES Assure all engineering products prepared are in accordance with applicable safety analyses, industry codes, and all regulatory requirements. Perform engineering and technical tasks as assigned by supervision Support engineering work functions. All other job assignments and/or duties pursuant to company policy or as directed by management to include but not limited to: (Emergency Response duties and/or coverage, Department duty coverage and/or call out, and positions outside of department in support of outage activities etc.) MINIMUM QUALIFICATIONS for Entry Level E01 Engineer &ndash New Graduate Bachelor&rsquos degree in Engineering (Chemical, Civil/Structural, Electrical, Industrial, Mechanical or Nuclear) Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties MINIMUM QUALIFICATIONS for Mid-level E02 Engineer Bachelor&rsquos degree in engineering (chemical, civil/structural, electrical, industrial, mechanical or nuclear) with 2 years of nuclear or related engineering experience Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties MINIMUM QUALIFICATIONS for Senior E03 Engineer Bachelor&rsquos degree in Engineering (Chemical, Civil/Structural, Electrical, Industrial, Mechanical or Nuclear) with 5 years of nuclear experience or related engineering experience Maintain minimum access requirement or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties PREFERRED QUALIFICATIONS Engineer in training certification

As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks. Responsibilities AI Development (40%). Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions. Writing and optimizing code for high-performance AI models. Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities. Collaboration with Teams (20%). Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains. Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability. Integration & Deployment (20%). Lead AI projects, demonstrating hands-on experience in code development and software engineering. Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance. Continuous Learning (20%). Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents. Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions. Decision-Making Autonomy Moderate - Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager. Supervision Required Moderate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. Complexity of Role High - The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability. Cross-Functional Interactions Yes - Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment. Compensation and Benefits: The expected compensation range for this position is between $106,400 - $178,100. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field. Proven experience in leading AI projects with hands-on experience in code development and software engineering. Required Expertise: Proficiency in programming languages such as Python, Java, or C++. Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud). Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies. Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a cross-functional team environment. Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools. Problem-Solving: Ability to translate business challenges into technical solutions. Collaboration Skills: Effective at working within cross-functional teams. Agility: Flexibility to adapt to changing requirements and new technologies. Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders. > Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy Please view our Pay Transparency Statement.

NO SPONSORSHIP - NO OPT PRINCIPAL ARTIFICIAL INTELLGIENCE ENGINEER SALARY: $200K - $220K PLUS 30% BONUS HYBRID 3 DAYS ONSITE SELLING POINTS: AI Research and engineering team. You will need strong software engineering and tech leadership. You will help define and execute AI technical roadmap, incorporate LLM and AI into processes and infrastructure. Large language models (LLMs) 10 years software engineering system architecture. Expertise python proficient in SQL system design expertise monolithic and microservices architecture distributed systems event driven architecture data engineering data pipelines data transformation AWS Docker Kubernetes CICD infrastructure as a code terraform Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure Design and build production applications in support of organizational use cases Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports) Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment Connect AI agents to organizational systems and workflows Evaluate emerging technologies and recommend adoption strategies Foster continuous learning culture in a rapidly evolving AI landscape Qualifications: Bachelor's or Master's in Computer Science or related technical field 10+ years software engineering/systems architecture experience with strong technical leadership 5+ years as senior technical contributor on complex production systems Expert in Python and proficient in SQL System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs Hands-on experience in data (e.g., data engineering, data pipelines, data transformation) Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT) Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy Experience mentoring and reviewing the work of junior engineers Exceptional communication skills explaining complex technical concepts Strong interest in AI/LLM space with demonstrated commitment to continuous learning Preferred Production experience with AI applications or LLM-powered systems Experience with RAG architectures and context engineering Familiarity with diverse LLM provider APIs and experience connecting agents to systems Experience tinkering with frontier lab tools and products Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD Infrastructure as code: Terraform Experience in financial market infrastructure or derivatives industry Background in regulated environments

Principal eCommerce Engineer ) NO SUBCONTRACTORS OR THIRD-PARTY FIRMS, PLEASE. W2 EMPLOYEES ONLY We seek a lead or Principal-level backend engineer who has some experience in the eCommerce applications for a well-established firm in Addison, IL. This role will become a permanent position after a short initial contract phase. Only those seeking full-time/permanent employment should apply. SKILLS: - 15+ years of industry experience, with a strong focus on scalable backend systems, cloud technologies, and microservices development. - Extensive experience in building and scaling backend systems for eCommerce and large-scale distributed applications. Exposure to headless commerce, marketplaces (Mirakl), and API-driven commerce solutions. - Expert knowledge of backend technologies and their trade-offs, including Node.js, TypeScript, Python, and Go. Familiarity with modern frameworks such as NextJS, Fastify, Express, and Hapi.js. - Strong experience with databases and caching solutions, including PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, and ElasticSearch. - Deep understanding of microservices architecture, including event-driven design, API gateways, service mesh (Istio, Linkerd), and inter-service communication patterns. - Advocate for high-quality engineering practices, with hands-on experience in unit, integration, and contract testing using tools like Jest, Mocha, Chai, Cypress, Pact, and Postman. - Proficiency in cloud platforms and cloud-native methodologies, including serverless computing (AWS Lambda, Azure Functions), Kubernetes (K8s, K3s), and containerization. - Hands-on experience with CI/CD pipelines, infrastructures as code (Terraform, Pulumi), and deployment automation. - Understanding of REST, GraphQL, and event-driven architectures using Kafka, NATS, RabbitMQ, and AWS EventBridge. - Expertise in observability, distributed tracing, and APM tools like OpenTelemetry, Prometheus, Grafana, Datadog, New Relic, and Dynatrace. - Strong understanding of authentication and authorization best practices, including OAuth2, OpenID Connect, JWT, API key management, and Zero Trust security models. - Experience in performance optimization of backend services, database queries, caching strategies, and load balancing. - Knowledge of diagramming and collaboration tools (e.g., Miro, Diagrams.net, FigJam, Mermaid.js). - Strong communication and leadership skills, capable of mentoring engineers and collaborating across teams. RESPONSIBILITIES: OWN THE BACKEND ARCHITECTURAL AFTIFACTS: - Define and maintain the architecture for cloud-native, scalable and resilient microservices. - Ensure seamless interoperability across platforms and services, including commerce, CMS, ERP, PIM, and marketing systems. - Establish architectural best practices for modularization, API design and service-to-service communication (REST, GraphQL, gRPC, event-driven architectures). DRIVE IMPLEMENTATION-LEVEL ARCHITECTURE: - Design, secure, scalable and high-performance backend services leveraging Node.js, TypeScript, and other modern backend technologies. Advocate for serverless, containerization (Docker, Kubernetes) and cloud-native best practices. - Contribute to and maintain Architecture Decision Records (ADR) for microservices and cloud-based systems. OWN BACKEND ENGINEERING POLICIES, PROCEDURES AND STANDARDS: - Establish CI/CD best practices with automated testing, linting, and deployment strategies for microservices. - Drive adoption of API-first, event-driven architectures and domain-driven design (DDD). - Define and enforce backend tooling standards (frameworks, ORMs, performance profiling, logging). OWN PLATFORM & BACKEND OPERATIONAL PRACTICES: - Lead disaster recovery and high-availability strategies for microservices. - Define logging, tracing, and observability best practices using tools like OpenTelemetry, Prometheus, and Grafana. - Drive automated testing strategies (unit, integration, contract, and end-to-end testing). - Define metrics and dashboards to track backend performance (SLAs, SLOs, SLIs, Golden Signals). CHAMPION BEST-IN-CLASS BACKEND STRATEGIES: - Work cross-functionality with frontend, DevOps, and data teams to optimize APIs, databases, and caching strategies. - Collaborate with other Principal Engineers to define and evangelize backend engineering best practices across the organization. - Mentor and provide technical guidance to backend engineers, fostering a culture of continuous learning and innovation. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Overview The Principal, SOD/RBAC (Segregation/Separation of Duties & Role-Based Access Control) is responsible for implementing and overseeing a governance framework for SOD and RBAC at Northern Trust. This role is pivotal in formulating and executing strategic roadmaps for first-line IAM (Identity & Access Management) practices. The role will be responsible for developing and implementing SoD and RBAC policies and controls to ensure compliance with regulatory requirements, industry standards, and best practices. Additionally, this position will manage a team that will be responsible for implementing advanced IGA functions, include RBAC and SOD. As an IAM leader, the selected candidate will partner with IAM architecture, engineering, operations and program teams to ensure that identity governance and administration strategy and roadmaps are in alignment with other IAM capabilities and towers of work. Key Responsibilities Implement the strategic technology and operational objectives for the identity governance and administration (IGA) tower of the Northern Trust (NT) IAM Organization Serve as a people manager for the IGA function, aligning its capabilities to business and technology team objectives Responsible for developing and implementing advanced IGA functions, including Role Based Access design and implementation and Segregation of Duties and Toxic Combination identification and remediation Responsible for defining, maintaining and enhancing rule-set ownership for SOD and RBAC Define and operationalize identification and remediation of toxic combinations for both centralized and de-centralized applications Define and operationalize process for creating new roles and on-going role verification Design and oversee the implementation of access control mechanisms to ensure secure, timely and controlled access to systems, applications and data Enforce IGA Tower standards and controls across NT, whether applications and platforms are centrally or de-centrally managed Establish sustainable model for SOD and RBAC processes and procedures Responsible for responding to audit and regulatory inquiries in partnership with other IAM, IT and Risk leadership teams Develop metrics and reports to measure and track effectiveness of SoD and RBAC policies and controls that are provided to all levels of NT leadership Work closely with IT security, compliance and audit teams to ensure IAM policies and controls meet regulatory requirements and industry standards Stay up-to-date with industry trends and emerging technologies related to IAM, SoD and RBAC, and apply best practices to improve the organization's IAM program Leadership & Skills Strong team management skills. Conducts performance management and career development processes, and staffing and disciplinary actions. Leads resource planning and metrics Develops periodic goals, organizes the work, sets short-term priorities, monitors all activities, and ensures timely and accurate completion of the work. Operates independently; has in-depth knowledge of business unit / function As an IAM subject area expert, provides comprehensive, in-depth consulting and leadership to team and partners at a high technical level Carries out activities that are large in scope, cross-functional and technically difficult Role is balanced between high level operational execution and development, and execution of strategic direction of business function activities Responsible for direct interaction with different committees and/or management Strategic in developing, implementing and administering programs within functional areas Qualifications Broad understanding of identity and access management, with expert knowledge in identity governance and administration Understanding of identity related regulatory requirements for all global regions Strong aptitude to develop and maintain internal and external business relationships and to leverage those relationships in pursuit of day-to-day goals and responsibilities Excellent consultative skills Excellent oral and written communication skills are required In-depth Functional / Industry Knowledge is required Knowledge of information security, network management, operating systems, software development, database systems and information technology concepts needed to effectively manage the group Analytical and problem-solving skills are required Leadership and organizational skills are required to develop periodic goals and to manage and motivate team members towards the goals set A College or University degree and/or relevant proven work experience is required Industry certification such as CISSP, CISM, CISA, Cisco, SANS, etc. is preferred

Senior Platform Engineer - AWS/Python/Terraform Global Brokerage Salary: $130,000 - $150,000 + benefits + bonus (20 - 50%) Hybrid: In office 3 days per week Join a leading global brokerage in the heart of Chicago and drive innovation. The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI/CD, and Docker to create a cutting-edge platform for rapid, reliable software development and deployment. What's In It For You Global Brokerage: Join a dynamic team at a top brokerage. Continuous Learning: Access paid training for professional growth. Work-Life Balance: Flexible work arrangements, with 3 days in the central Chicago office. Collaboration: Work closely with development teams on monitoring metrics and CI/CD pipeline development. Comprehensive benefits package offering employer‑provided insurance (life/AD&D, disability, EAP), health & dental coverage, flexible accounts (HSA/FSA), generous time off (vacation, unlimited sick leave, parental leave), plus retirement plan with a company match - all designed to support employees' wellness, financial security, and work-life balance. Exciting Projects: Engage in complex, challenging projects. Role Responsibilities System Management: Monitor and manage AWS-focused systems and infrastructure. Platform Operations: Build and maintain a platform for cloud and on-premise application provisioning and operation. Configuration and Maintenance: Install, configure, test, and maintain operating systems, software, and infrastructure tools. CI/CD Development: Develop a continuous integration and deployment platform integrated with development tools. Developer Experience: Enhance developer experience in cloud infrastructure and application deployment. Policy and Guidelines: Develop policies, standards, and guidelines for Infrastructure as Code (IAC) and CI/CD processes. Automation: Implement workflow and toolchain improvements for task automation. Required Skills and Experience Experience: Minimum 5 years in a professional Platform Engineering role. Cloud Proficiency: Securely deploy and manage AWS applications, with cloud-native tooling and security best practices. Scripting Skills: Proficiency in Python. Docker Proficiency: Experience with Docker containerisation for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation. Learn More For more information, contact George Harris at Harrington Starr for a confidential conversation, or click "Apply" to start your application.

CDW is happy to be partnering with our Chicago based client on this new Senior Cloud Engineer opportunity. Please find the details below and apply if interested! Senior Cloud Engineer Contract Length: 3-6 months - 40 hours per week, potential to extend and/or convert to a permanent role Location: Onsite in Chicago, IL 60606 Interview Process: 2 interviews Top three skills needed: Expert understanding of AWS products, including: EC2, S3, ALB/NLB, VPC, Lambda, RDS, ElastiCache, DynamoDB, Batch, IAM, SQS, SNS Strong to Expert understanding of Kubernetes as a platform, including cluster creation from scratch, cluster management, security, deployment of applications, usage of Helm; experience with managed Kubernetes platforms, such as EKS, AKS, or GKE a plus Experience with cloud-native security practices and tools Job Description: This exciting hands-on role within our Infrastructure & Platform Services team will provide you with the opportunity to make a lasting impact on the firm's cloud implementation, strategy, and architecture design. You will have the chance to work with some of the smartest and most driven individuals in the industry. As a Senior Cloud Engineer, you will: Serve as a mentor and guide to Cloud Engineering team members Play a key role in architecting and managing our public cloud environments Partner with developers and internal stakeholders to understand requirements and provide recommendations for cloud solutions and strategies to address those needs Work with Infrastructure & Platform teams to provide a consistent end user experience across our on-premise and cloud environments Write code: whether it's Python, Terraform, Puppet, or something else, writing code to automate and optimize deployment of infrastructure and applications is a core part of this role Develop self-service capabilities that allow stakeholders to access cloud services quickly and efficiently Implement and support applications and systems running on our cloud environment Stay up to date with the latest trends and offerings within the cloud computing space and act as a champion of cloud adoption across the organization Provide a platform as a product to others within the organization: we create and maintain a world-class cloud and application platform, which we then operate and offer as a product Participate in out-of-hours on-call rotation and maintenance Core Tech Stack: Public cloud: AWS and Azure Infrastructure Code: Terraform Application Management: Kubernetes, Docker, Helm OS: Linux and Windows Container Technologies: Containerd, Podman, OCI Observability Tools: Grafana, Prometheus, Thanos, OpenTelemetry To be considered a good cultural fit, you must be: An ambitious self-starter Hungry to learn Driven towards success A very strong and efficient communicator Able to multi-task and excel in a fast-paced trading environment A problem solver; able to develop quick and sound solutions to complex problems Comfortable working in, and leading, an agile-based team To be considered a good technical fit, you must have: 7+ years, hands-on experience architecting and implementing large-scale, highly available, services on public cloud (AWS preferred) A bachelor's degree in engineering, computer science, information systems, or related field Expert knowledge of immutable infrastructure, infrastructure automation and provisioning tools, such as AWS CloudFormation or Terraform Expert understanding of AWS products, including: EC2, S3, ALB/NLB, VPC, Lambda, RDS, ElastiCache, DynamoDB, Batch, IAM, SQS, SNS Strong to Expert understanding of Kubernetes as a platform, including cluster creation from scratch, cluster management, security, deployment of applications, usage of Helm; experience with managed Kubernetes platforms, such as EKS, AKS, or GKE a plus Experience with cloud-native security practices and tools Understanding of FinOps principles and cloud cost optimization Strong knowledge of automation scripting using Python and/or Bash Strong knowledge of Linux administration particularly RHEL-based operating systems Strong operational understanding of networking concepts, architecture, and best practices, especially as it relates to hybrid cloud integration Hands on experience working with container technologies (Docker, Podman) Experience with disaster recovery and business continuity planning Familiarity with source control systems (Git) as well as CI/CD tools (Jenkins, TeamCity, BitBucket, Azure Pipelines) Analytical skills - Ability to troubleshoot and logically assess problems and determine solutions Detailed documentation skills - ability to represent ideas, requirements, reference architecture and problems in clear, concise, and business-friendly documents Bonus points for: Public cloud architecture and strategy planning experience Contributions to open-source libraries, projects, or communities AWS Certified Solutions Architect (Associate or Professional), AWS Certified SysOps Administrator Associate Any additional AWS, Azure, or GCP resource specializations Kubernetes certifications (CKA, CKAD, CKS) Experience with configuration management tools such as Ansible Knowledge of AI/ML infrastructure management Experience with platform engineering practices

About the Company The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 16,000 healthcare professionals across 1,200+ health and wellness offices in 46 states. Our brands, including Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet, benefit from TAG's comprehensive suite of centralized business support services designed to enhance growth and provide high-quality healthcare experiences at scale. Together, we aim to make healthcare smarter, better, and more accessible for everyone. About the Role To support our rapid growth and technological evolution, we are seeking a Lead Software Engineer to join our expanding IT team. We're hiring two Lead Software Engineers on our full-stack team: one who leans Front-End and one who leans Back-End. You'll own mission-critical services (RESTful APIs, data streaming, rules engines) across microservices, set technical standards, and mentor engineers while collaborating with product and data science. You'll also help integrate AI models into production software and keep our products secure and compliant. Responsibilities Lead API and data-streaming service development used across TAG brands. Build and optimize systems for reusability, scalability, and maintainability; drive design patterns, code quality, and testing. Mentor engineers; influence architecture & best practices (technical leadership without direct people management). Partner with product & data science; participate in code reviews; stay current with emerging tech (including AI in software). Qualifications 10 years building large-scale software; ~5 years leading engineers/technical direction. Required Skills Strong in Python, Go, or C#; expert in REST; solid with GraphQL integrations. Proficient with SQL (MySQL/PostgreSQL), cloud (AWS/GCP/Azure), CI/CD, and Kubernetes. Experience integrating AI/ML models into software; security best practices/HIPAA awareness. Front-End-leaning role: deep experience with a modern SPA framework (e.g., React/TypeScript) and design-system driven UI. Back-End-leaning role: depth in distributed systems, data streaming, and service performance/observability. (Microservices & rules engines a plus.) Preferred Skills Healthcare tech exposure and HIPAA experience (bonus, not required). Pay range and compensation package Annual pay range: $167,000-$197,000. A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. Equal Opportunity Statement If you are an applicant residing in California, please view our privacy policy here.

The client is seeking a Lead Analytics Engineer with strong technical expertise in modern web development and hands-on experience in Customer Experience (CX) and Digital Analytics implementation. This role combines engineering excellence with MarTech and data instrumentation-supporting event tracking, data pipelines, customer identity, and audience activation across platforms such as mParticle, Mixpanel, and paid media ecosystems. As a lead, you will guide engineering best practices, oversee implementation quality, and collaborate with cross-functional teams to build scalable and reliable analytics foundations. You will ensure that data collection, CDP integrations, and tracking architectures are robust, performant, and aligned with business needs. Key Responsibilities Backend & Frontend Development (Light Full Stack Scope) Build and maintain backend services and APIs using PHP/Laravel or Node.js. Develop lightweight frontend interfaces and internal tools using React. Support ingestion pipelines and microservices that enable analytics and CX data flows. Ensure secure and scalable data movement across systems. CX & Digital Analytics Implementation Lead the implementation of event instrumentation, user behavior tracking, and data collection strategies for mParticle and Mixpanel. Define and configure data schemas, identity resolution rules, and event attributes within CDP platforms. Partner with CX, product, and analytics teams to translate tracking requirements into high-quality technical execution. Support funnel tracking, conversion measurement, and end-to-end customer journey instrumentation. Paid Media & Audience Activation Build and manage paid media audiences using mParticle/Mixpanel integrations (Meta, Google, TikTok, DV360, etc.). Configure audience segmentation, data sync rules, and activation logic. Ensure accuracy, governance, and compliance in audience delivery workflows. Cloud & Deployment Deploy and manage applications on AWS or GCP (baseline cloud proficiency). Utilize cloud services for hosting, storage, and operational workflows. Support CI/CD pipelines and automated deployment processes. Leadership & Collaboration Provide technical guidance to junior engineers and analytics implementation teams. Establish best practices for tagging, SDK usage, data quality, and integration architecture. Participate in solution design, code reviews, and technical documentation. Act as a key liaison across engineering, analytics, CX, and marketing teams. General Engineering Responsibilities Troubleshoot data quality, API, SDK, and integration issues. Maintain clean documentation for architectures, tracking setups, and implementation logic. Stay updated with modern MarTech, CDP, and analytics engineering trends. Qualifications 6-10 years of experience in engineering, analytics implementation, MarTech, or related technical roles. Deep understanding of mParticle, Mixpanel, or similar CDP/analytics platforms. Understanding of PHP (Laravel) or Node.js, along with basic React proficiency. Experience with event schemas, SDK implementation, data contracts, tagging, and tracking strategies. Familiarity with paid media audience activation and MarTech ecosystem integrations. Knowledge of relational/NoSQL databases and cloud platforms (AWS/GCP). Exposure to containerization (Docker; Kubernetes is a plus). Strong debugging, analytical, and communication skills. Proven ability to lead technical implementation and collaborate across functions. Education Bachelor's or Master's Degree in Engineering, Computer Science, Information Systems, Mathematics, or related discipline.

Engineer - Network Tooling & Automation (SRE) Onsite once a week in Chicago Contract to hire role About the Role We are seeking a Network Tooling & Automation Engineer to join our client's Infrastructure team. This role will be instrumental in building and optimizing network automation platforms and tools, enabling smarter operations, analytics, and monitoring as part of a broader network transformation strategy. The ideal candidate has hands-on experience developing automation frameworks and tools (not just consuming them), with expertise in scripting, packet-level analysis, and performance monitoring. This is a high-impact opportunity to design, implement, and optimize automation strategies that improve availability, reliability, and efficiency across a global network infrastructure. Key Responsibilities Design, develop, and implement network automation frameworks and tools to drive operational efficiencies. Create and optimize monitoring solutions and other analytics/visualization platforms. Automate network device management (routers, switches, firewalls, proxies) using Ansible, Python, or PowerShell. Perform packet-level debugging for complex troubleshooting. Conduct network analysis and operations reviews, identifying opportunities for efficiency through automation. Document automation frameworks, administrative procedures, and best practices. Partner with cross-functional teams (network, security, operations, MSPs) to define requirements and deliver automation solutions. Drive tool upgrades, operational excellence projects, and automation-driven changes in production. Mentor and cross-train team members on automation practices and frameworks. Required Skills & Experience Hands-on development of network automation frameworks and solutions (must have built tools, not just used them). Strong scripting expertise with Ansible, Python, or PowerShell. Experience with monitoring/visualization platforms. Proficiency with analysis, packet-level debugging, and network performance monitoring. Solid understanding of network analysis and operations. Strong documentation and communication skills. 10+ years of professional IT/networking experience, including 3+ years focused on automation tools and frameworks. Preferred Skills Experience with automation platforms/frameworks (CI/CD pipelines, APIs). Exposure to Cisco ACI, Fortinet, F5 LTM/GTM, DDI, Splunk, OpenShift. Cloud integration and hybrid networking experience. Frontend development skills for building dashboards or visualization layers. Why Join Work on cutting-edge network transformation and automation initiatives. Collaborate across infrastructure, security, and operations teams. Influence strategy while remaining hands-on with technology. Be part of an environment where automation and analytics are front and center.

This person will join a team of four to provide additional support for regional projects. The team currently has four Regional Project Managers: one in the Northeast, one in the South, one in the Midwest, and one in the West. This role is intended to supplement their efforts. This role leads warehouse network optimization projects focused on consolidations, density modeling, and storage strategies. It involves analyzing racking configurations, inventory placement, and designing layouts to improve space efficiency, safety, and operational performance Key Responsibilities: • Lead warehouse layout and storage optimization projects, including consolidations, new building stand-ups, and reconfigurations. • Conduct volumetric and density modeling to maximize storage and throughput efficiency. • Assess existing facilities and recommend remediation or redesign strategies. • Develop and present data-driven recommendations through analytics, modeling, and reporting. • Manage projects end-to-end, coordinating across cross-functional stakeholders. • Act as SME on racking systems and warehouse storage methodologies. Required Skills and Experience: 5+ years of experience in warehouse design, layout optimization, or fulfillment operations. • Strong background in analytics, volumetric modeling, and space utilization strategies. • Hands-on experience with racking and material handling equipment design. • Proven ability to plan, draft, and implement multiple building utilization strategies. • AutoCAD experience a must - can be intermediate • Ability to travel up to 50%

Security Engineer (Application Security Focus) We're seeking a highly motivated Security Engineer to join our growing security organization as the second dedicated member of the team, reporting directly to the CISO. This is a hands-on, highly technical role with a primary focus on Application Security, making it an excellent opportunity for someone who thrives in dynamic environments and enjoys building security programs from the ground up. About the Role In this position, you'll champion new security initiatives, lead implementations, and evaluate emerging tools and technologies. You should be comfortable working independently when needed, while also partnering closely with both technical and non-technical teams to drive adoption, improve processes, and strengthen overall security posture. You will collaborate with a 6-person IT group across Operations and Applications, participating in daily standups and contributing to cross-functional efforts. While a networking background is beneficial, this is not a networking role-security expertise, especially in AppSec and cloud (Azure), is essential. Candidates coming from an MSSP environment are strongly encouraged to apply. Responsibilities Lead and execute application security initiatives and projects Implement new security tools, solutions, and technologies Drive incident response efforts and coordinate with internal teams and external vendors Develop and maintain security policies, standards, and procedures Produce clear technical documentation and process guides Manage tool rollouts, configurations, and ongoing optimization Partner with engineering, IT, and business stakeholders to promote security best practices Conduct hands-on engineering work across cloud and application environments Research, evaluate, and recommend future security technologies Collaborate with the broader IT team in daily standups and joint projects Qualifications Strong background in Application Security and hands-on technical implementation Experience with Azure cloud security Prior experience in an MSSP or similarly fast-paced, multi-client environment (preferred) Ability to work autonomously, take ownership, and drive initiatives forward Excellent communication skills for working with both technical and non-technical teams Networking knowledge beneficial but not required GIAC certification preferred (any above entry-level considered strong)

I'm looking for an Enterprise Applications Engineer to join an Enterprise Operations team and help drive seamless collaboration across the business. In this role, you'll partner with technical and non-technical teams to manage, optimise, and evolve the tools that power our global operations. What you'll do: • Act as the go-to contact for stakeholders, improving workflows and user experience. • Administer and enhance core enterprise tools (Jira, Confluence, Slack, Zoom, Box, Tableau, etc.). • Lead application changes, migrations, integrations, and automation efforts. • Troubleshoot issues, ensure reliability, and promote configuration best practices. • Evaluate new tools, manage vendors, and deliver end-to-end project solutions. What's in it for you: • Collaborative, high-performing environment with top industry talent. • Competitive compensation with performance bonus, 401(k) match, and full benefits. • 25 vacation days + market holidays, plus extensive office perks. Applicant must have: • Strong experience with enterprise application configuration, support, automation, and security. • Hands-on project and scripting background. • Clear communicator with a user-focused, problem-solving mindset. • Bonus: experience with AI tools, advanced analytics, or additional collaboration platforms. • Must have U.S. work authorisation. If this is an opportunity you'd like to explore, please get in touch: Email: ************************** Mobile: 0**********

Our client is a prominent Global leader dedicated to delivering exceptional experiences with over 1,000 subsidiaries and affiliated brands. With a commitment to innovation and personalized service, they are seeking a Talent Manager to join their team immediately. The Senior Application Engineer is responsible for designing, developing, and deploying enterprise-scale applications across both on-prem and cloud environments. This role combines deep technical expertise in Java, API development, cloud engineering, and modern DevOps practices with strong collaboration and problem-solving skills. The ideal candidate excels in building scalable solutions, driving platform modernization efforts, and supporting cross-functional teams in a fast-paced, dynamic environment. This position is suited for a proactive, detail-oriented engineer who thrives on innovation, continuous improvement, and delivering high-quality application solutions that support business growth. Position Summary: Design, develop, and deploy enterprise Java (J2EE) and web applications across on-prem and cloud environments. Build scalable, secure applications and support testing, deployment, and continuous improvement. Collaborate with engineering, product, architecture, and business teams to define technical requirements and deliverables. Review code, enforce best practices, and support cross-functional, distributed teams. Maintain and enhance CRM API and MDM platforms and assist with migrations to cloud architectures. Support and develop SOAP/REST APIs and data integrations across systems. Maintain CI/CD pipelines and help transition to cloud-based automation tools. Troubleshoot issues, review logs, and perform root cause analysis. Minimum Experience: At least 7 years of application development experience with strong Java, J2EE, and full-stack engineering skills. Experience building reusable components and working in large-scale enterprise environments. Hands-on cloud development experience (AWS required; Azure a plus). Knowledge of Kubernetes, CI/CD, and modern DevOps practices. Strong skills in SQL, NoSQL, and cloud databases (Snowflake, PostgreSQL, DynamoDB, Aurora, DB2). Proficiency in Java, Python, JavaScript, HTML5, CSS3, Node.js, and related frameworks/tools (Spring, Hibernate, JUnit, Git, etc.). Strong communication, problem-solving, collaboration, and project management abilities. Self-driven, detail-oriented, and comfortable working in ambiguous environments. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

About the Opportunity: Our client is seeking an Integration Engineer to design and support application integrations that power critical business operations. In this role, you will work with cloud-based platforms, APIs, and modern data workflows to improve automation, enhance system performance, and ensure data accuracy. Experience with Boomi is required. What You'll Do: Develop and maintain integrations between core applications, cloud platforms, and business systems Design API-enabled workflows to optimize data movement and streamline business processes Support existing integrations by troubleshooting issues, improving architecture, and ensuring platform stability Implement best practices for data accuracy, quality, governance, and compliance Collaborate with analysts, engineers, and stakeholders to translate business needs into technical solutions Contribute to system modernization efforts, including migration from legacy integrations to standardized platforms Participate in integration release planning, testing, deployment, and ongoing support What We're Looking For: Bachelor's degree or equivalent professional experience 5+ years of integration development experience At least 3 years of experience with Boomi Experience with API design and data formats Strong understanding of middleware concepts, ETL processes, and modern integration frameworks Familiarity with CI/CD practices, infrastructure, or DevOps environments Ability to analyze complex problems and deliver scalable, reliable solutions Experience with ERP systems, CRM platforms, and cloud services required Strong communication skills and experience working cross-functionally Why Join: Employee ownership through a competitive ESOP structure Comprehensive benefits, retirement programs, and bonus opportunities A collaborative, team-driven environment

Senior Machine Learning Engineer - Conversational AI 💰 Salary: $180-200K base + 15% bonus + equity About the Opportunity Harnham is partnering with a fast-growing AI technology company that is building a next-generation agentic voice platform for enterprise-scale customer engagement. This organization works with Fortune 50 businesses across healthcare, finance, and retail, and is backed by leading investors with over $25M in funding. They are scaling rapidly and seeking an experienced Senior Machine Learning Engineer to join a high-performing team and help shape the future of conversational AI. The Role You'll be responsible for fine-tuning and deploying advanced models for real-time voice applications, working on cutting-edge challenges in LLMs, speech technologies, and MLOps. Key Responsibilities Fine-tune and optimize large language models using LoRA, QLoRA, RLHF, and other advanced techniques Deploy models into production environments with sub-second latency Collaborate with engineering and product teams to deliver scalable solutions Innovate with the latest research in conversational AI and speech technologies What We're Looking For 5+ years of ML engineering experience (beyond academic projects) Strong background in model fine-tuning and deployment Experience with GPT-class models, LangChain/LangGraph, and prompt engineering Bonus: Speech expertise (ASR/TTS) and MLOps experience Why Apply? Competitive compensation + bonus + equity Work on industry-disrupting AI solutions Collaborative culture with real impact Relocation support and hybrid flexibility

Additional Notes: Experience using RF test equipment, including Network and Spectrum Analyzers, Signal Generators, and Power Meters, ensuring precise measurement and analysis. REQUIRED!!!!! RF Circuit and Communication: Extensive background in RF circuit design and wireless communication theory essential for driving innovative solutions. Technical Proficiency: Experience using RF test equipment, including Network and Spectrum Analyzers, Signal Generators, and Power Meters, ensuring precise measurement and analysis. 100% Onsite - 9-5pm, Full Time Job Description As an Electrical Engineer II, you will be instrumental in advancing our RF technologies and sustaining product development. Your role will encompass hands-on circuit building, debugging, and conducting performance verification testing for MSI products under redesign. You will collaborate closely with cross-functional teams to optimize product performance and ensure compliance with stringent industry standards. Qualifications • RF Circuit and Communication: Extensive background in RF circuit design and wireless communication theory essential for driving innovative solutions. • Design Expertise: Proficient in designing and understanding PLL, VCO, Receiver, and RF Power Amplifier systems. • Analytical Proficiency: Demonstrates sound analytical skills, with the capacity to troubleshoot and resolve circuit-related challenges efficiently. • Technical Proficiency: Familiarity with RF test equipment, including Network and Spectrum Analyzers, Signal Generators, and Power Meters, ensuring precise measurement and analysis. • Independent and Collaborative Work: Capable of working autonomously while effectively collaborating with other engineering disciplines to achieve project goals. • Project Management: Demonstrates the ability to manage multiple concurrent design undertakings, ensuring timely delivery of high-quality engineering solutions. • Communication Excellence: Skillfully summarizes complex technical concepts and findings, with proficient writing and communication abilities. RequirementsEducational Background: Bachelors Degree in Electrical Engineering, laying the foundational knowledge necessary for advanced engineering practices. Professional Experience: A minimum of 2 years of dedicated experience in RF development that showcases a commitment to quality and precision in engineering. Knowledge and proven previous use of RF test equipment for circuit-level testing in a work environment.

Lead Platform Engineer (Network Infrastructure) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Network Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Network engineer responsible for designing, implementing, managing and troubleshooting computer networks to ensure efficient and secure communication within the Capital One network. Role would include, but not limited to: Network Design & Architecture - Planning and developing network infrastructure based on business needs. Creating Bill of Materials and getting quotes from vendors. Ordering and installing network circuits. Installation & Configuration - Setting up routers, SD-WAN routers, switches, Out of Band management and other network equipment. Maintenance & Optimization - Monitoring performance, troubleshooting issues, and optimizing network efficiency. Security Management - Implementing security measures to protect against threats. Support & Troubleshooting - Diagnosing and resolving connectivity and performance issues. Upgrades & Scalability - Keeping networks updated with the latest technology and ensuring they can scale as the organization grows. Work with various networking technologies including LANs, WANs, SDWANs, VPNs, cloud networking and wireless networks, ensuring seamless communication and data transfer. Automation and scripting is highly desired to have. Brands of hardware- Cisco, Versa SDWAN, Lantronix. Basic Qualifications: High School Diploma, GED, or equivalent certification At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) At least 4 years of experience with AWS At least 2 years of team leadership experience Preferred Qualifications: 5+ years of experience with Cisco network hardware and software 2+ years of experience in Python or ansible scripting At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,400 - $180,800 for Lead Platform Engineer Chicago, IL: $144,000 - $164,400 for Lead Platform Engineer McLean, VA: $158,400 - $180,800 for Lead Platform Engineer New York, NY: $172,800 - $197,200 for Lead Platform Engineer Plano, TX: $144,000 - $164,400 for Lead Platform Engineer Richmond, VA: $144,000 - $164,400 for Lead Platform Engineer San Francisco, CA: $172,800 - $197,200 for Lead Platform Engineer San Jose, CA: $172,800 - $197,200 for Lead Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year. We are seeking a Lead Analytics Engineer with strong technical expertise in modern web development and hands-on experience in Customer Experience (CX) and Digital Analytics implementation. This role combines engineering excellence with MarTech and data instrumentation-supporting event tracking, data pipelines, customer identity, and audience activation across platforms such as mParticle, Mixpanel, and paid media ecosystems. As a lead, you will guide engineering best practices, oversee implementation quality, and collaborate with cross-functional teams to build scalable and reliable analytics foundations. You will ensure that data collection, CDP integrations, and tracking architectures are robust, performant, and aligned with business needs. Key Responsibilities Backend & Frontend Development (Light Full Stack Scope) • Build and maintain backend services and APIs using PHP/Laravel or Node.js. • Develop lightweight frontend interfaces and internal tools using React. • Support ingestion pipelines and microservices that enable analytics and CX data flows. • Ensure secure and scalable data movement across systems. CX & Digital Analytics Implementation • Lead the implementation of event instrumentation, user behavior tracking, and data collection strategies for mParticle and Mixpanel. • Define and configure data schemas, identity resolution rules, and event attributes within CDP platforms. • Partner with CX, product, and analytics teams to translate tracking requirements into high-quality technical execution. • Support funnel tracking, conversion measurement, and end-to-end customer journey instrumentation. Paid Media & Audience Activation • Build and manage paid media audiences using mParticle/Mixpanel integrations (Meta, Google, TikTok, DV360, etc.). • Configure audience segmentation, data sync rules, and activation logic. • Ensure accuracy, governance, and compliance in audience delivery workflows. Cloud & Deployment • Deploy and manage applications on AWS or GCP (baseline cloud proficiency). • Utilize cloud services for hosting, storage, and operational workflows. • Support CI/CD pipelines and automated deployment processes. Leadership & Collaboration • Provide technical guidance to junior engineers and analytics implementation teams. • Establish best practices for tagging, SDK usage, data quality, and integration architecture. • Participate in solution design, code reviews, and technical documentation. • Act as a key liaison across engineering, analytics, CX, and marketing teams. General Engineering Responsibilities • Troubleshoot data quality, API, SDK, and integration issues. • Maintain clean documentation for architectures, tracking setups, and implementation logic. • Stay updated with modern MarTech, CDP, and analytics engineering trends. Qualifications • 6-10 years of experience in engineering, analytics implementation, MarTech, or related technical roles. • Deep understanding of mParticle, Mixpanel, or similar CDP/analytics platforms. • Understanding of PHP (Laravel) or Node.js, along with basic React proficiency. • Experience with event schemas, SDK implementation, data contracts, tagging, and tracking strategies. • Familiarity with paid media audience activation and MarTech ecosystem integrations. • Knowledge of relational/NoSQL databases and cloud platforms (AWS/GCP). • Exposure to containerization (Docker; Kubernetes is a plus). • Strong debugging, analytical, and communication skills. • Proven ability to lead technical implementation and collaborate across functions. Education Bachelor's or Master's Degree in Engineering, Computer Science, Information Systems, Mathematics, or related discipline. Know more about Data & AI in Brillio: ************************************************ Know what it's like to work and grow at Brillio: ******************************** Equal Employment Opportunity Declaration Brillio is an equal opportunity employer 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.