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Senior Platform Architect

Reports To: Director of Engineering

Department: Engineering

Location: Hybrid - Atlanta, GA

What makes MTech different:

Purpose-Driven Work – Build technology that solves real problems for the world

Casual & Collaborative – No corporate bureaucracy, direct access to senior leadership

Innovation-Focused – Healthy innovation pipeline expanding into new segments and technologies

Transparent & Data-Driven – Clear metrics, objectives, and visibility into company performance

Modern Development – Robust development tools, training programs, and technical excellence

Flexibility & Balance – Flexible work environment that values results over presenteeism

Job Summary

The Senior Platform Architect will lead the technical architecture, design, and modernization of large-scale, multi-tenant enterprise SaaS platforms built on Azure and the .NET stack. This role requires mastery of distributed systems, cloud-native design, and advanced engineering practices to deliver highly available, performant, and secure solutions for global consumer-facing SaaS and Agentic AI products.

Responsibilities and Duties

Architectural Design & Transformation

• Lead migration from monolithic systems to modular monolith and microservices architectures using domain-driven design, bounded contexts, and decomposition strategies.
• Design multi-tenant SaaS platforms with advanced tenant isolation, resource partitioning, and elastic scaling using Azure services.
• Define and enforce architectural standards for .NET (C#), TypeScript, Angular, SQL Server, and Azure, including dependency injection, SOLID principles, asynchronous programming, and reactive patterns.
• Design and implement distributed systems: service orchestration, API gateway management, IoT, edge computing, distributed transactions, eventual consistency, CQRS, and event sourcing.
• Architect for cloud-native resiliency: circuit breakers, bulkheads, retries, failover, geo-redundancy, and disaster recovery using Azure App Services, Azure Functions, Service Bus, Cosmos DB, and Azure SQL.
• Develop and maintain architecture documentation, reference models, and decision records using industry frameworks (TOGAF, Zachman, C4 Model).

Performance Engineering & Observability

• Establish and monitor platform SLOs (latency, throughput, error rates, availability) mapped to customer SLAs.
• Architect and implement advanced caching strategies, indexing, and query optimization for SQL Server and NoSQL stores in coordination with Senior Data Architect, Data Engineers, and Database Admins.
• Design and implement telemetry pipelines: distributed tracing (OpenTelemetry), structured logging, metrics collection, and real-time dashboards for system health and diagnostics.
• Conduct performance profiling, load testing, and capacity planning for backend services and frontend applications.

Automation, Quality, and DevOps

• Architect and implement CI/CD pipelines with automated build, test, security scanning, and deployment workflows.
• Integrate static code analysis, code coverage, and quality gates into the development lifecycle.
• Design and enforce automated testing strategies: unit, integration, contract, and end-to-end tests for backend and frontend components.
• Develop infrastructure as code (IaC) solutions for repeatable, scalable cloud provisioning.
• Create incident response playbooks for rollback, failover, and recovery, drive down MTTR and automate remediation where possible.

Security, Compliance, and Governance

• Architect for multi-tenant security: authentication/authorization (OAuth2, OpenID Connect), encryption at rest and in transit, secrets management, and compliance with SOC 1, SOC 2, GDPR, and other regulatory standards.
• Implement secure software development lifecycle (SSDLC) practices, threat modeling, and vulnerability management, including ZDR, DLP, No Model Training policies with AI Models.
• Ensure architectural governance and alignment with enterprise frameworks (TOGAF, Zachman), maintain architecture decision records, and participate in architecture review boards.

Technical Leadership & Collaboration

• Mentor engineering teams in advanced architectural concepts, distributed systems, cloud-native development, and best practices.
• Collaborate with Data Architect, DevOps, IT Services, Engineering and Product Management teams to ensure platform extensibility, integration, and support for complex business requirements.
• Evaluate and integrate AI/ML services, advanced analytics, and developer productivity tools to enhance platform capabilities.
• Champion a culture of technical excellence, continuous improvement, and innovation.

Required Experience & Skills

• Minimum 10+ years in software/platform engineering, with at least 8 years in platform architecture for enterprise SaaS on Azure and .NET tech stack.
• Proven experience architecting and delivering large-scale, multi-tenant SaaS platforms for global consumer-facing products.
• Deep expertise in .NET (C#), Azure cloud services (App Services, Functions, Service Bus, Cosmos DB, SQL Server), Azure Open AI, Microsoft Agent Framework, TypeScript, Angular, CI/CD, automated testing, and observability.
• Mastery of distributed systems, cloud-native patterns, event-driven architectures, and microservices.
• Demonstrated success in technical debt reduction, performance engineering, and architectural modernization.
• Experience with architectural frameworks (TOGAF, Zachman, C4 Model), architectural governance, and compliance.
• Strong understanding of platform security, regulatory compliance, and multi-tenant SaaS challenges.

Success Metrics (First 12 Months)

• Reduction in platform-related incidents/support tickets.
• Improvement in deployment speed and release velocity.
• Reduction in MTTR for platform incidents.
• Achievement of modularization milestones (monolith decomposition, service rollout, platform observability in production).
• Increase in automated test coverage, code quality, and system performance metrics.

Preferred Skills & Certifications

• TOGAF, Zachman, or similar architecture certification.
• Advanced knowledge of event sourcing, CQRS, service mesh, and cloud-native security.
• Familiarity with semantic technologies, knowledge graphs, and AI/ML integration.
• Hands-on experience with infrastructure as code, automated testing tools, and modern DevOps practices.
• Strong background in platform security, compliance, and multi-tenant SaaS challenges.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We

Job Title: Techno-Functional Consultant – Digital Communication Platforms (AEM)

Location: Northville, MI (Onsite)

Duration: Long Term Contract

Role Overview

We are seeking a Techno-Functional consultant to support and enhance enterprise digital communication platforms while bridging business communication teams and IT. The role focuses on platform operations, troubleshooting, and delivery support across tools such as Adobe Experience Manager (AEM), SharePoint, Workvivo, and enterprise distribution platforms.

This position requires a hands-on techno-functional professional who can work closely with communications teams, infrastructure teams, and vendors to ensure reliable platform performance and smooth delivery of internal communication initiatives.

Key Responsibilities

• Act as the primary techno-functional contact for communication platforms including AEM, SharePoint, Workvivo, and distribution systems

• Support content publishing, platform configuration, and troubleshooting within AEM and related digital platforms

• Assist with testing and execution of communication initiatives such as town halls, internal broadcasts, and email distributions

• Work with Infrastructure and IT teams to resolve technical issues impacting communication platforms

• Monitor and support distribution list reliability and message delivery issues

• Assist with platform integrations and vendor coordination where required

• Support the technical setup and onboarding of communication tools or applications

• Help document and maintain platform usage guidelines and operational playbooks

• Identify opportunities to leverage automation or AI-enabled tools to improve communication workflows

• Collaborate with business teams to translate communication requirements into technical actions

Required Skills

• 5–8+ years of experience in digital platforms, enterprise communication systems, or web content platforms

• Hands-on experience with Adobe Experience Manager (AEM)

• Experience working with SharePoint or enterprise intranet platforms

• Familiarity with internal communication tools such as Workvivo, intranet platforms, or collaboration tools

• Experience supporting enterprise email distribution systems or internal communication platforms

• Ability to troubleshoot platform issues and coordinate with infrastructure or vendor teams

• Strong collaboration skills to work across business and technical teams

Preferred Experience

• Exposure to Adobe Experience Cloud ecosystem

• Familiarity with enterprise communication or employee engagement platforms

• Experience supporting digital communication events or internal broadcasts

• Exposure to AI tools or automation used in digital communication workflows

Ideal Candidate

A hands-on techno-functional professional who enjoys working at the intersection of business communications and enterprise technology, ensuring that communication platforms operate reliably and support business needs effectively.

As a Power Platform Developer and Knowledge Management Analyst, you will be responsible for designing, developing, and deploying scalable and intuitive solutions using the Microsoft Power Platform leveraging SharePoint and other data sources.

Roles and responsibilities will include, but are not limited to:

• Collaborate with clients and stakeholders to understand business requirements and design effective Power Platform solutions
• Collaborate with clients and stakeholders to understand business processes to develop modular, scalable and reusable Power Automate flows.
• Develop Power Apps and Portals (now called Power Pages) using the Power Platform, incorporating intuitive user interfaces and responsive designs.
• Customize app functionalities by creating data models, integrating external data sources, and implementing complex business logic, leveraging Dataverse, AI Builder, CoPilot, Microsoft Syntax, Power Automate, Fabric and PowerBI.
• Implement user authentication and access control mechanisms to ensure data security and privacy. Extend Zero Trust Data Protection with Microsoft Purview and while enabling Data Sharing with Viva.
• Weave Power Platform actions into traditional M365 (Email, Teams, SharePoint) user experiences.
• Collaborate with solution architects, UX designers, and backend developers to ensure seamless integration and functionality.
• Conduct thorough testing and debugging to identify and resolve issues, ensuring the reliability and usability of Power Platform solutions.
• Provide technical guidance, support, and training to end-users, promoting adoption and effective utilization of Power Platform solutions.
• Stay updated with the latest features and best practices in Power Apps development, continuously enhancing your skills and knowledge.
• Collaborate with project managers and participate in project planning, estimation, and resource allocation activities.
• Document technical specifications, user guides, and deployment instructions for Power Platform applications.
• Maintain and transform legacy SharePoint applications.

This position requires the ability to obtain an active Department of Defense Secret security clearance.

Required skills & experience:

• Bachelors degree. (Relevant certifications and equivalent work experience will also be considered.)
• Agile experience required.
• Experiential familiarity developing solutions with at least two of the following is required and with more than two is a plus:
  • AI Builder
  • CoPilot Virtual Agents
  • Microsoft Fabric
  • PowerBI
  • Power Pages
  • Power Apps
  • Power Automate
  • Dataverse
• Experience with developing or maintaining SharePoint Apps required;
• Experience with DEVSECOPS CI/CD Pipelines such as Gitlab, Github, Atlassian and Azure DevOps (ADO).
• Strong problem-solving skills and the ability to analyze business requirements and translate them into technical solutions.
• Excellent communication and collaboration skills, with the ability to effectively interact with both technical and non-technical stakeholders.
• Willingness to work five days a week on-site at the Washington Navy Yard (WNY) with core hours between 9AM and 2PM. (Compressed work schedules are available).
• Ability to obtain and maintain a SECRET or higher clearance.

Preferred experience:

• Pre-existing SECRET or higher clearance obtained via a T5 background check.
• Experience converting SharePoint Framework (SPFx) to Dataverse / Power Platform Native is a plus and SharePoint UI Path to Power Pages a plus.
• Connecting Azure PaaS Services to Power Platform Services as companion services via a Service Gateway (e.g. connecting Data Factory to Dataverse) is a plus
• Experience integrating SharePoint, GraphAPI and Dataverse with Microsoft Purview and Viva Topics is a plus.
• Experience connecting Defender to Azure and Power Platform services a plus.
• Experience connecting a Dataverse or GraphAPI accessible Azure resources to a Databricks Restful API service a plus.
• Experience with both Atlassian Bamboo and Azure DevOps (ADO)
• Strong proficiency in building Power Apps solutions using the Power Apps platform, including data modeling, formulas, expressions, and controls.
• Solid understanding of user interface design principles and responsive design concepts.
• Experience integrating Power Apps with various data sources and services, such as SharePoint, Dynamics 365, and Microsoft 365.
• Proficiency in programming languages such as JavaScript, C#, or SQL, enabling customization and extension of Power Apps solutions.
• Ability to work on multiple projects simultaneously and deliver high-quality results within established timelines.
• Proven ability to lead development projects and mentor junior developers.
• Microsoft certifications in Power Platform (e.g., Power Apps Developer, Power Platform Developer) are a plus.

Overview

Strategic Staffing Solutions is seeking 4 talented UX Designers (2 Web Designers and 2 Native Platform Designers) to join the Design System team at one of our largest banking clients. These roles will contribute to building scalable, accessible, and high-quality digital experiences across web and native platforms.

Designers will collaborate in a high-performing, agile design systems team to research, ideate, prototype, and deliver design solutions aligned with member needs. This role requires strong attention to detail, collaboration with developers and cross-functional teams, and the ability to contribute to complex design systems.

Open Roles

• 2 – Design Systems Designer (Web Platforms) – Level II / III
• 2 – Design Systems Designer (Native Platforms: iOS & Android) – Level II / III

All positions must work onsite at the Colorado Springs, CO office 5 days per week

No Freelance Work

UX Designers - (2 Web & 2 Native Platforms)

Location: Onsite – Colorado Springs, CO

Employment Type: Contract-to-Hire

Client: Banking Client

Work Authorization: Candidates must be eligible to work in the U.S. immediately w/out sponsorship at any time. This role will eventually go direct with the client.

NOTE-No Corp. to Corp. ALL APPLICANTS MUST HAVE PORTFOLIO LINK CUSTOMIZED TO THIS ROLE AT THE TOP OF THEIR SUBMITTED RESUME

MUST BE LOCAL TO COLORADO SPRINGS, CO. NO RELOCATION ASSISTANCE OFFERED.

Responsibilities

Designer II

• Identify and document business problems to support solutions for moderately complex cross-organizational projects
• Contribute ideas during human-centered design sessions and collaborative workshops
• Participate in the full design lifecycle from discovery through implementation
• Create and document design system assets, components, and specifications
• Develop prototypes and design artifacts to support product development
• Contribute to research synthesis and insights that guide design decisions
• Participate in design critiques and reviews to provide constructive feedback
• Ensure designs follow accessibility, usability, and compliance standards
• Collaborate closely with developers to ensure accurate implementation
• Support identification and documentation of business problems
• Assist with design artifacts, prototypes, and documentation
• Contribute to discovery and research activities within the design process
• Develop foundational interaction, visual, or content design assets
• Participate in critiques and design reviews to develop design skills
• Ensure compliance with organizational risk and design standards

Required Skills & Qualifications

Designer II

• 2+ years of experience in Product Design, UX Design, or Service Design
• Experience contributing to complex design systems for web or native apps
• Portfolio demonstrating:
• Design systems work
• Component libraries or style guides
• Digital product design
• Strong collaboration experience in cross-functional teams
• Strong organizational, communication, and time management skills
• Experience working closely with developers
• Understanding of accessibility, usability, and information architecture

Platform-Specific Requirements

Web Platform

• Experience designing responsive web interfaces
• Knowledge of modern web practices including responsive design, CSS flexbox, and grid

Native Platform

• Experience designing for iOS and Android
• Understanding of platform-specific conventions and interaction patterns

Designer III

• Up to 2 years of experience in:
• Product Design
• UX Design
• Service Design
• Design Research
• Production Design
• Portfolio demonstrating a basic understanding of web and mobile design
• Familiarity with industry-standard design and collaboration tools
• Working knowledge of:
• Website navigation
• Mobile patterns
• Browsers
• Information architecture
• Usability principles
• Strong organization and ability to deliver work on time
• Highly motivated team player and quick learner

Required Tools

Candidates should have experience with:

• Figma (including variables and design tokens)
• Zeroheight
• Atlassian Suite (e.g., Jira, Confluence)

Prior experience required performing the below:

• Designing and maintaining design system components
• Creating prototypes and visual assets
• Documenting patterns and guidelines
• Managing collaboration and design workflows

Additional Information

• 4 roles available total-2 Web Platform Designers and 2 Native Designers
• Onsite work 5 days per week required in Colorado Springs, CO
• Candidates must be eligible to handle Confidential Supervisory Information (CSI)
• Supplier will provide equipment

Baer is looking for Head of Engineering & Platforms – Product Organization for a 6+ month Contract-to-Hire project located in Atlanta, GA

Title: Head of Engineering & Platforms – Product Organization

Location: Hybrid – Atlanta, GA

Duration: 6 months - Contract to Hire

Rate: All-inclusive

Alignment: W2 or C2C

Overview

We are seeking a Head of Engineering & Platforms to lead and scale the engineering organization that powers digital products and platforms across North America. This leadership role will define the engineering vision, build high-performing teams, and establish modern platform architecture to support scalable, secure, and high-performing digital experiences.

Description

• Define and execute the engineering vision, technical strategy, and platform roadmap.
• Build and scale a product-led engineering organization (100+ engineers).
• Lead engineering teams across platform, full-stack, mobile, and data development.
• Implement modern engineering practices including CI/CD, DevOps, automation, and observability.
• Partner with Product, Design, and Data leaders to deliver innovative digital solutions.
• Drive platform architecture, scalability, reliability, and security.
• Lead build vs. buy decisions, leveraging SaaS and custom solutions.
• Foster a culture of engineering excellence, innovation, and continuous improvement.

Requirements

• 15+ years of engineering experience, including leadership roles.
• 7+ years leading engineering teams or organizations.
• Experience building or scaling engineering organizations in product-driven environments.
• Strong knowledge of modern software engineering practices, cloud platforms, and platform architecture.
• Experience working with product operating models and cross-functional teams.
• Excellent leadership, communication, and stakeholder management skills.
• Must be based in or willing to relocate to Atlanta, GA and work in a hybrid schedule.
• Bachelor’s Degree.

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

We are currently supporting a direct client that has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform, the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase — including POC validation, platform governance, and operational best practices.

This role is ideal for someone who enjoys working at the architectural and platform level, helping organizations avoid common pitfalls and ensuring the Databricks environment is built for scalability, performance, security, and cost optimization from day one.

You will have the opportunity to shine with your expertise by advising the client on platform design, governance models, cluster strategy, and DevOps automation, while helping establish the foundation for a robust enterprise Lakehouse environment.

Key Skills & Experience

• Databricks workspace administration and cluster governance
• Unity Catalog, Delta Lake, and Spark performance optimization
• AWS architecture including IAM, VPC, S3, KMS, PrivateLink, and CloudWatch
• Terraform and Infrastructure-as-Code for platform provisioning
• CI/CD pipelines, Git workflows, Databricks CLI, and API integrations
• Automation using Python or Bash
• Cost optimization and platform governance strategies

Nice to Have

Experience with:

• Delta Live Tables
• Auto Loader
• MLflow
• Feature Store
• Databricks Serverless Computer

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

Job Title: Senior DevOps Engineer – Kubernetes & Platform Engineering

Location: Bethesda, MD

Duration: Direct Hire

Job Description:

We are seeking a Senior DevOps Engineer to join a high-performing Platform Engineering team responsible for building and scaling a secure, multi-cloud infrastructure. This role will focus on Kubernetes (AKS & GKE), CI/CD automation, and Internal Developer Platform (IDP) enablement to improve developer experience and system reliability.

The ideal candidate will have deep expertise in cloud-native technologies, distributed systems, and observability, with a strong focus on automation, security, and scalability.

Key Responsibilities

• Design, build, and manage multi-cloud Kubernetes platforms (Azure AKS & GKE) with a focus on scalability, security, and cost optimization
• Develop and enhance an Internal Developer Platform using Backstage, enabling self-service capabilities and standardized development workflows
• Build and optimize CI/CD pipelines using Jenkins and GitHub Actions (pipelines-as-code, artifact management, environment promotion)
• Orchestrate data and batch workflows using Argo Workflows, ensuring efficient scheduling and execution of complex jobs
• Manage and optimize distributed systems including Kafka, CockroachDB, Couchbase, and Elasticsearch (performance tuning, backup/restore, disaster recovery)
• Implement and maintain observability frameworks using Prometheus, Grafana, and Tempo (metrics, logging, tracing, alerting)
• Develop platform tools and automation using Go, Node.js, or C#/.NET
• Enforce best practices for security, compliance, and reliability, including secrets management, RBAC, and incident response
• Collaborate cross-functionally with engineering teams to improve developer experience and platform adoption

Qualifications

• 5–8+ years of experience in DevOps, SRE, or Platform Engineering
• Hands-on experience with Kubernetes in multi-cloud environments (AKS & GKE)
• Strong experience with CI/CD tools such as Jenkins and GitHub Actions
• Experience with Backstage or Internal Developer Platform (IDP) tools
• Hands-on experience with Argo Workflows (not limited to ArgoCD)
• Strong knowledge of distributed systems (Kafka, CockroachDB/Postgres, Couchbase, Elasticsearch)
• Experience implementing observability solutions (Prometheus, Grafana, Tempo)
• Proficiency in at least one programming language: Go, Node.js, or C#/.NET

Ideal Candidate Profile

• Proven experience building and scaling cloud-native platforms in multi-cloud environments
• Strong understanding of Kubernetes architecture, networking, and security best practices
• Experience driving developer self-service and platform standardization using Backstage
• Hands-on with workflow orchestration and large-scale data pipelines
• Deep understanding of SRE principles (SLOs, SLIs, error budgets, incident management)
• Ability to balance performance, reliability, and cost-efficiency in production systems
• Strong communication skills with the ability to work across engineering and product teams

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more. 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.