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Lab Infrastructure Technical Manager / Architect

The Select Group is seeking a technical leader to help drive the evolution of large-scale lab environments supporting next-generation platform validation, testing, and deployment activities.

This opportunity is well-suited for professionals who bring a blend of infrastructure architecture expertise, cloud-native platform knowledge, and team leadership experience. The environment is undergoing significant modernization efforts, offering the chance to influence long-term strategy while supporting critical operational initiatives.

Key Responsibilities

• Provide technical leadership across cloud-native infrastructure, Kubernetes platforms, and telecom lab environments.
• Lead and mentor a distributed team of infrastructure engineers, establishing operational standards and technical best practices.
• Own and maintain platform architecture across Kubernetes, OpenStack, Oracle infrastructure, Red Hat environments, and telecom platforms.
• Drive infrastructure modernization and migration initiatives, including data center and platform transformation efforts.
• Support lab expansion through capacity planning, utilization management, and hardware lifecycle planning.
• Partner with internal stakeholders, vendors, and customers to ensure lab environments meet evolving business and technical requirements.
• Act as an escalation point for complex infrastructure, networking, platform, and application issues.
• Deliver visibility into infrastructure capacity, operational risks, and roadmap readiness.

Required Qualifications

• 3+ years of experience supporting cloud-native infrastructure, Kubernetes platforms, and/or telecom lab environments.
• Strong knowledge of Kubernetes architecture, cluster deployment models, and platform operations.
• Experience with Red Hat technologies including RHEL, OpenShift, and OpenStack.
• Proven experience architecting and supporting cloud-native infrastructure environments.
• Strong networking fundamentals, including IPv4/IPv6, load balancing, and distributed systems.
• Experience with storage, virtualization, monitoring, and observability platforms.
• Working knowledge of 4G and 5G network architectures and telecom environments.
• Demonstrated success troubleshooting across infrastructure, networking, Kubernetes, and application layers.
• Previous experience leading technical teams, managing escalations, and operating in fast-paced environments.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with Oracle Cloud Infrastructure (OCI), Oracle Kubernetes Engine (OKE), or Oracle server hardware.
• Knowledge of F5 technologies and service mesh architectures.
• Familiarity with infrastructure automation, YAML-based deployments, and Infrastructure-as-Code practices.
• Experience supporting large-scale enterprise or telecom infrastructure environments.

What Makes This Opportunity Unique

• Fully remote work environment.
• Long-term consulting engagement with strong potential for extension and/or conversion.
• Opportunity to influence infrastructure strategy and modernization efforts.
• High-impact role supporting large-scale cloud-native and telecom platform initiatives.
• Strong balance of technical leadership, architecture ownership, and team management responsibilities.

Ideal backgrounds include Lab Infrastructure Manager, Telecom Infrastructure Manager, Cloud Infrastructure Architect, Kubernetes Platform Architect, Platform Engineering Manager, Site Reliability Engineering Manager, or Senior Infrastructure Engineer looking to transition into leadership.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-AM1

Computer Vision / Multimodal AI Engineer

The Select Group is looking to add a Computer Vision and Multimodal AI Engineer to a highly innovative AI team to help shape the next generation of intelligent, AI-powered business solutions.

This is an opportunity to work on complex, real-world challenges at the intersection of Computer Vision, Vision-Language Models (VLMs), NLP, and agentic AI. Rather than maintaining existing systems, this individual will help build and scale new capabilities that transform visual information into actionable insights and business value.

We are seeking someone who enjoys experimentation, thrives in ambiguity, and can take an idea from concept through production deployment. Success in this role will come from a combination of technical depth, curiosity, and the ability to translate cutting-edge AI technologies into practical solutions that users can rely on every day.

What You'll Be Helping Build

• Intelligent systems that analyze and understand visual data at scale.
• Multimodal AI solutions that combine images, language, and reasoning to deliver richer insights.
• Agentic AI workflows capable of surfacing recommendations and automating decision-making processes.
• Production-grade AI applications that support both operational efficiencies and customer-facing experiences.
• Scalable architectures that enable rapid experimentation while supporting long-term growth.

What Success Looks Like

The right person will be comfortable owning the full lifecycle of machine learning initiatives—from designing experiments and validating assumptions to deploying models and continuously improving performance.

This role will have significant influence on how AI solutions are architected, evaluated, and scaled. Strong candidates are naturally inquisitive, enjoy investigating why models succeed or fail, and can turn those findings into measurable improvements.

Technical Environment

• Computer Vision and Machine Learning
• Vision-Language Models (CLIP, BLIP, Gemini, and similar frameworks)
• Multimodal AI and reasoning systems
• Agentic AI workflows
• Python
• PyTorch, TensorFlow, CoreML, or similar ML frameworks
• Cloud-based AI deployment environments
• Model evaluation, optimization, and performance tuning

Who Tends to Excel in This Environment

• Engineers who have successfully deployed machine learning solutions into production.
• Professionals who enjoy building and testing new ideas rather than simply maintaining existing systems.
• Individuals who can move comfortably between research, experimentation, engineering, and business conversations.
• Practitioners who are excited about emerging technologies in multimodal AI, visual reasoning, and autonomous agents.
• Self-starters who can operate independently while collaborating effectively across engineering, product, and business teams.

Why This Opportunity Stands Out

• Work on some of the most rapidly evolving areas of artificial intelligence.
• Opportunity to influence architecture, strategy, and technical direction.
• Exposure to Computer Vision, multimodal AI, VLMs, and agentic systems in production environments.
• Collaborative team culture that values experimentation, innovation, and measurable business impact.
• Long-term engagement supporting the development of next-generation AI capabilities.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-AM1

Sr. RAN Engineer- Remote, Canada 
The Select Group is seeking an experienced RAN Engineer to join a national Wireless Network Performance team. You’ll play a key role in optimizing 4G/5G networks, supporting major performance initiatives, and enabling next-generation technologies such as Open RAN.

What You'll Bring: 
• Bachelor’s degree in Engineering (Electrical, Telecom, Computer, or related field).
• 5+ years of experience in RAN performance engineering or optimization within a telecom operator or vendor environment.
• Strong expertise across 4G and 5G RAN performance, including NSA/SA, VoLTE, VoNR, mobility, signaling analysis, parameter audits, traffic balancing, and SON features.
• Hands-on experience with Samsung RAN equipment: parameters, features, capabilities, and limitations.
• Proficiency with OSS and call-trace tools such as Netscout, ActixOne, or similar platforms.
• Solid understanding of network KPIs, troubleshooting flows, and end-to-end service behavior.

Bonus Experience 
• Master’s degree in Engineering or Computer Science.
• Experience with Google Cloud Platform (GCP).
• Familiarity with data science and machine learning techniques — especially anomaly detection and model-driven optimization.
• Experience with crowdsourced data platforms, Netscout analytics, or similar network intelligence tools.
• Data science skills including scripting, statistical analysis, ML pipelines, and automation frameworks.
 
What You'll Do: 
• Support the launch and optimization of emerging wireless technologies — including Open RAN — from a performance management perspective.
• Monitor and manage RAN performance KPIs, ensuring targets are met and continuously improved.
• Troubleshoot service degradations, perform root-cause analysis, and develop preventive measures to minimize customer impact.
• Assist client support and escalation teams on complex issues requiring RAN engineering expertise.
• Lead performance monitoring and optimization for high-demand special events (sports, concerts, festivals).
• Design and support automation initiatives to increase operational efficiency and scale optimization activities.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-RA1
 

DATA ENGINEER- PHILADELPHIA, PA (REMOTE)

The Select Group is hiring a Data Engineer to support the design, implementation, and operation of a large-scale AWS-hosted data infrastructure platform supporting critical building automation and industrial telemetry systems across approximately 1,700 sites. This engineer will develop and maintain ingestion pipelines for BMS, SCADA, HVAC controllers, environmental sensors, and utility metering systems into a centralized AWS data lake leveraging Amazon S3, Lake Formation, and Glue Catalog. The role will also focus on configuring AWS IoT SiteWise asset models, managing time-series data within Amazon Timestream, and ensuring the scalability, reliability, and performance of the overall platform. Working closely with cross-functional engineering teams and AWS architects, this position plays a foundational role in supporting enterprise-wide data operations and infrastructure strategy.

What You'll Bring:
 

• 4+ years in data engineering with production pipeline experience 

• Strong Python and SQL; experience with Spark or Pandas for large-scale data processing 

• Hands-on experience with managed time-series storage: Amazon Timestream, InfluxDB, TimescaleDB, or Historian systems 

• AWS data lake experience: S3 + Glue + Lake Formation + Athena (or willingness to adopt; Azure Data Lake or Databricks experience translates) 

• AWS IoT service exposure: IoT Core, IoT SiteWise, IoT Greengrass (or strong willingness to learn) 

• API and protocol integration experience: REST, MQTT, BACnet, Modbus, OPC-UA 

• Data quality monitoring and alerting — not just pipeline building 

• Git and CI/CD familiarity for pipeline code management; infrastructure-as-code experience (Terraform or AWS CDK) preferred 

Bonus Experience:

• Experience with BMS, SCADA, or industrial IoT data sources 

• Apache Kafka or Amazon Kinesis Data Streams experience 

• dbt (data build tool) or equivalent transformation framework 

• Amazon Managed Grafana or similar observability tooling 

• Experience in critical facility, utility, telecom, or energy sector environments 

• Familiarity with NIST SP 800-82 (OT security) or NERC CIP 

What You'll Do: 

• Design and build data ingestion pipelines from BMS, SCADA, HVAC controllers, environmental sensors, and utility metering systems into AWS IoT SiteWise and the shared data lake 

• Configure AWS IoT SiteWise asset models that mirror the physical facility hierarchy (site ? building ? system ? component ? measurement) 

• Architect and maintain the shared data lake schema on S3 + Lake Formation + Glue Catalog; coordinate schema changes across the joint team 

• Configure Amazon Timestream for hot time-series storage with appropriate retention tiers (memory store and magnetic store) 

• Implement data quality frameworks: completeness checks, anomaly detection, cadence validation, alerting via CloudWatch and SNS 

• Build and document AWS IoT Greengrass v2 component integrations with source systems via BACnet (IP and MS/TP), Modbus (TCP and RTU), OPC-UA, SNMP, REST APIs, and MQTT (with mTLS authentication via X.509 device certificates) 

• Optimize query performance and partitioning strategies for time-series facility data in Timestream and Athena (over S3) 

• Support the Simulation Engineer's data feed requirements and HVAC automation event logging for the VBAS POC 

• Operate the production data lake at fleet scale, monitor pipeline health, manage schema governance 

• Produce data flow diagrams, schema documentation, and data dictionary for handoff and post-handoff operations 
  
  TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-BF1
   

QA/INTEGRATION ANALYST - PHILADELPHIA, PA (REMOTE)

We are seeking a hands-on QA/Integration Analyst to support a large-scale Virtual Building Automation System (VBAS) initiative focused on simulation validation, cloud-based data pipelines, and HVAC automation workflows. This role is embedded within a cross-functional delivery team and is responsible for planning, executing, and facilitating integration and acceptance testing across multiple AWS-hosted platforms and operational technology environments.

What You'll Bring:

• 3+ years of experience in QA, systems integration testing, technical validation, or acceptance testing
• Experience creating:
  • Formal test plans
  • Test cases and scripts
  • Acceptance criteria documentation
• Ability to validate APIs, integrations, data feeds, and backend systems - beyond traditional UI testing
• Experience with data validation techniques including:
  • SQL queries
  • Schema verification
  • Time-series data analysis
  • Athena or equivalent query platforms
• Experience facilitating UAT sessions with operational or business stakeholders
• Strong written communication skills with the ability to produce audit-ready documentation
• Familiarity with cloud platform testing and security concepts, preferably within AWS environments: IAM, KMS, Service integrations

What You'll Do:

• Develop and execute integration and acceptance test plans across:
  • AWS-hosted IoT and data lake pipelines
  • Simulation engine on IoT TwinMaker
  • Visualization and dashboard platforms
• Validate simulation performance against historical operational data and document pass/fail criteria against defined accuracy thresholds
• Verify AWS IoT asset models, including:
  • Hierarchy integrity
  • Measurement bindings
  • Edge-to-cloud data ingestion and processing workflows
• Test HVAC automation workflows including:
  • Stage-up and stage-down sequencing
  • Threshold triggers
  • Manual override capabilities
  • Minimum cycle time enforcement
  • Override audit trail verification
• Execute end-to-end data quality validation, including:
  • Schema compliance
  • Field completeness
  • Latency checks
  • End-to-end data lineage
• Verify alerting configurations fire correctly under test conditions across operational and safeguard alert categories 
• Facilitate User Acceptance Testing (UAT) sessions with facility operations stakeholders and document operator sign-off and open items
• Maintain defect log with reproduction steps, severity ratings, and resolution tracking
• Produce acceptance test reports for milestone gate packages

Site Commissioning Manager 

The Select Group is seeking a Site Commissioning Manager to support  TSG as we continue expanding one of the largest data center footprints in the world.

This individual will play a critical role in the delivery of new data center capacity, partnering closely with construction, engineering, operations, and vendor teams to ensure successful commissioning of mission critical infrastructure. This is a hands-on site leadership opportunity ideal for someone who thrives in fast-paced construction environments and enjoys driving complex projects through completion.

Key Responsibilities

• Lead commissioning efforts for assigned data center construction projects from pre-functional testing through final turnover
• Coordinate closely with construction managers, engineers, general contractors, vendors, and operations teams throughout the project lifecycle
• Drive project execution across scope, schedule, quality, and issue resolution
• Oversee QA/QC processes and ensure systems are commissioned to client standards
• Support execution of testing activities across electrical, mechanical, plumbing, and controls systems
• Conduct site inspections and monitor commissioning readiness
• Track milestones, risks, open issues, and project progress; provide regular updates to leadership
• Manage third-party commissioning agents and vendor partners
• Participate in owner/architect/contractor meetings and cross-functional project reviews
• Contribute to process improvements, best practices, and standardization efforts across the commissioning program
• Work independently across multiple project sites within the metro area as needed

Required Qualifications

• 2+ years of experience in data center construction, mission critical facilities, commissioning, industrial construction, or related infrastructure environments
• Hands-on experience supporting commissioning, startup, turnover, or closeout activities
• Working knowledge of electrical and mechanical systems in a construction environment
• Experience with QA/QC processes, field inspections, and issue resolution
• Ability to read and interpret drawings, specifications, and technical documentation
• Experience coordinating contractors, vendors, and cross-functional stakeholders
• Strong organizational and communication skills
• Comfortable working in active construction environments and fully onsite
• OSHA 30 certification
• NFPA 70E certification

Preferred Qualifications

• Data center or hyperscale infrastructure experience
• Experience commissioning MEP and controls systems
• PMP or formal project management training
• Prior experience managing third-party commissioning teams

Location: Phoenix, AZ (Fully Onsite)

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-AL3