JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

As a Key Accounts Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales, Product/Engineering, Customer Success, Professional Services, and executive leadership to articulate the overall Datadog value proposition, vision and strategy to customers
• Lead technical strategy for both short-term and long-cycle pursuits by driving the end-to-end technical sales agenda for Fortune 100 and comparable prospects — from pipeline generation through purchase decision
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Present at executive and technical forums, lead workshops, and translate technical detail to business impact for CIOs, SRE/Platform teams, security/compliance, and engineering leadership
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with one or more languages (i.e. Python, Go, Java, etc.) and familiarity with DevOps practices such as CI/CD and IaC workflows
• Demonstrated ability to land into net new logo accounts and collaborate with prospects through long, multi-quarter or multi-year cycles.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

job purpose: The Senior Analytics Engineer will be a foundational developer and force multiplier for fairlife’s ambition to create a best‑in‑class Decision Intelligence (DI) ecosystem. This role will own the development of production‑grade data products (domain models, governed metrics, semantic layers, and self‑serve insights) while also helping the organization adopt and scale AI-enabled decision workflows (agents/copilots) through guardrails, training, enablement, and measurable adoption.

This role is accountable not only for delivering decision intelligence, but also for increasing decision velocity and trust across Finance, HR, Demand, and Site Operations by building durable assets and by coaching others in modern analytics engineering and AI practices.

responsibilities:

• Build and own production-grade, domain-oriented data products in Microsoft Fabric (Lakehouse/Delta) with documented logic, monitoring, and clear SLAs/ownership.
• Develop governed semantic models and a scalable KPI/metric system that enables consistent, trusted self-serve decision intelligence across Finance, HR, Demand, and Site Operations.
• Implement CI/CD, automated testing, and performance optimization for pipelines, models, and DAX/SQL to ensure reliability and speed at scale.
• Deliver decision-ready insights (“so what / now what”) through dashboards, alerts, and embedded workflows that accelerate decision velocity and improve operational outcomes.
• Support design and development of agentic AI solutions that automate multi-step decision workflows with governed data, guardrails, auditability, human-in-the-loop controls, and evaluation metrics.
• Lead AI and decision intelligence enablement: training, playbooks, office hours, and adoption programs; continuously measure engagement, value realization, and iterate based on feedback.
• Serve as a DI force multiplier by coaching teammates on analytics engineering, semantic modeling, and AI delivery best practices; create reusable templates and standards (“build once, use often”)
• Partner cross-functionally to align on priorities, definitions, and tradeoffs; operate with strong ownership, speed, and accountability

skills/qualifications required:

• 6+ years delivering analytics engineering or equivalent experience building production-grade data products (pipelines + semantic models + governed metrics).
• Bachelors in a technical field, masters preferred.
• Experience delivering AI-enabled analytics solutions (agents/copilots/workflow automation) with evaluation/monitoring and safe deployment patterns (human-in-the-loop, auditability).
• Demonstrated experience with CI/CD and DevOps for analytics (Git, Azure DevOps pipelines, automated testing, release processes).
• Expert SQL (T‑SQL + SparkSQL) and strong semantic modeling skills (Power BI / Tabular), including performance tuning, star schema, and metric governance.
• (Preferred) Python for orchestration, automation, testing, or ML/AI evaluation harnesses.
• Proven ability to build stakeholder trust and drive adoption through clear communication, documentation, and enablement (not just delivery).
• Ability to build training + enablement programs and measure adoption/value.
• Experience with manufacturing/operations analytics (OEE, downtime classification, yield, throughput, scrap, quality, maintenance), or adjacent industries.
• Demonstrated ability to use modern development accelerators (e.g., coding assistants/agents) responsibly to increase throughput while maintaining quality and governance.
  
  

how fairlife nourishes you:

At fairlife, we believe in better — and that includes how we support our people. We offer a comprehensive suite of benefits and wellbeing resources designed to support you physically, emotionally, socially, and financially, both in and out of work.

• Comprehensive medical, dental, and vision coverage, effective day one!
• Supplemental health plans (hospital indemnity, accident, and critical illness insurance)
• Paid Time Off to recharge and support work-life balance
• Paid parental leave & adoption assistance (up to $10,000)
• Parental support & family care benefits, including childcare resources and lactation support
• 401(k) to support retirement planning with up to 9% in employer match
• Wellness reimbursement (up to $500 for qualified wellbeing expenses)
• Employee Assistance Program (EAP) for emotional wellbeing and work-life support
• Company-paid life insurance and short-term disability
• Employer HSA funding (for HDHP participants)
• Tuition reimbursement (up to $10,000) and student loan repayment ($200/month)
• Learning & development programs to unlock your full potential
• Rewards & recognition, matching gifts, free product, and Business Resource Groups

fairlife’s nour!sh program is designed to meet you where you are — supporting your individual wellbeing journey while enabling you to do your best work every day.

position location: Chicago, IL

reports to: Senior Manager, Decision Intelligence

travel requirements: 10-15%

exempt/nonexempt: Exempt

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

ABOUT THE ROLE:

The Aviatrix SRE team is a small but highly skilled global group of Systems Engineers/SREs dedicated to ensuring the reliability, availability, and performance of Aviatrix’s critical systems and services. Our mission is to build and maintain a robust, resilient infrastructure that enables Aviatrix to deliver high-quality services with agility through automation, best practices, and a culture of operational excellence.

As a Member of Technical Staff (MTS) Site Reliability Engineer, you’ll be developing your foundational SRE skills while contributing to the reliability and performance of our systems. You’ll work under supervision to implement solutions, learn our infrastructure, and gain hands-on experience with production systems.

KEY RESPONSIBILITIES

• Kubernetes: Learn to manage basic application deployments, assist with troubleshooting, and support monitoring tasks
• Infrastructure as Code: Implement IaC for straightforward provisioning tasks and configuration changes
• Automation & Development: Contribute to existing automation tools and frameworks in Golang and Python
• Basic System Maintenance: Contribute to system reliability through routine maintenance tasks and monitoring
• Implementation Support: Implement well-defined solutions for moderate complexity technical problems
• Reliability Engineering: Learn fundamentals of system reliability; contribute to maintaining uptime for well-defined services under guidance
• Automation Excellence: Execute basic automation scripts; contribute to existing automation frameworks with supervision
• Observability: Implement basic monitoring configurations; learn to read dashboards and interpret common metrics
• Incident Management: Participate in incident response with escalation support; document findings and learnings
• Performance Engineering: Monitor system performance using established metrics; escalate performance issues appropriately
• Collaboration: Participate actively in team meetings; communicate status and blockers effectively

QUALIFICATIONS

• Experience: 0-3+ years in software engineering, system administration, or related technical roles
• Education: BS in Computer Science, Engineering, or related field
• Programming: Basic proficiency in at least one programming language (Golang, Python preferred)
• Cloud Platforms: Foundational knowledge of cloud platforms (AWS, Azure, GCP)
• Linux: Basic Linux system administration skills
• Version Control: Experience with Git and code review processes
• Communication: Strong communication skills and eagerness to learn
• Problem-Solving: Demonstrated ability to solve technical problems independently

US Pay Range

The annual base salary range for this full-time position is $111,600-$131,300 + benefits + 401(k) match + equity and is bonus eligible. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education.  The range displayed is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

#LI-RACHEL #LI-Remote

As a Sr. Site Reliability Engineer, you'll be the guardian of our platform's reliability and performance, ensuring millions of hospitality transactions flow seamlessly across the globe. You'll architect and implement scalable AWS cloud solutions that keep the most ambitious hotels running 24/7, while fostering a culture of automation, resilience, and continuous improvement across our engineering teams.

Our SRE Team:

We're a bottom-up, collaborative team that thrives on healthy debate and shared ownership of our infrastructure. You'll have endless opportunities to influence architecture decisions while working with cutting-edge cloud technologies at scale. We believe the best solutions come from engineers who are empowered to innovate, experiment, and challenge the status quo.

What You Bring to the Team:

• Design and implement a reliable and scalable AWS architecture to meet the needs of the organization.
• Maintain and support highly loaded Kubernetes (EKS) clusters and infrastructure-related components.
• Support the CICD process with ArgoCD and GitOps.
• Automate the platform deployments with Terraform infrastructure-as-code.
• Develop and continuously improve product Observability and Monitoring systems based on the Grafana, Prometheus, DataDog, and Cloudwatch.
• Respond and participate with Incident Management and Root Cause Analysis, ensuring minimal impact on services.
• Optimize system performance and troubleshoot issues as they arise.
• Collaborate with development teams to establish monitoring best practices and ensure systems meet reliability targets. 
• Collaborate with security teams to implement and maintain security best practices.
• Infrastructure support rotation providing guidance to other engineering teams.

What Sets You Up for Success:

• 5+ years of experience as a DevOps or SRE working within the AWS ecosystem.
• 5+ years of experience with Kubernetes (EKS) and Helm charts.
• Experience with designing, building, and supporting CI/CD pipelines with ArgoCD and GitHub actions.
• Experience with infrastructure-as-code methodologies with Terraform.
• Experience with Observability and Monitoring with Grafana, Prometheus, DataDog, and Cloudwatch.
• Experience with Incident Management, full-stack troubleshooting, performance analysis, and root cause analysis (RCA).
• Experience with Web application systems such as Nginx, Ingress controllers, load balancing, and Content Delivery Networks. 
• Experience with Databases (MySQL, PostgreSQL, Aurora) and Middleware technologies (Redis, Memcached, and SQS)
• Good networking skills with VPC, Security Groups, and Network ACLs.
• Ability to work remotely and manage your own time in a global team.
• Good written and verbal communication in English.
• Bachelor’s degree in Computer Science or equivalent experience.

Bonus Skills to Stand Out:

• Advanced experience with Database Administration (Aurora, MySQL, PostgreSQL).
• Experience working in a PCI-compliant environment.
• Experience working with Kong API Gateway.

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

#LI-REMOTE #LI-IK1

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Principal Duties/Responsibilities:

· Follows all safety related policies, rules, regulations, technical instructions, and guidelines.

· Communicates with the team to promote and understanding of the relationship between site actions and results and overall tactical objectives.

· Drives day-today execution of team-related responsibilities/team priorities using the leadership competencies that support our ATS culture.

· Displays behaviors that align with being self-motivated and emotionally intelligent.

· Document’s work performed in service reports, applicable management systems, and written explanation regarding observation and collected equipment performance data. Compiles technical manuals, operations, and maintenance processes relevant to equipment upgrades and automation integrations.

· Updates records and reviews CMMS history and analyzes data.

· Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools.

· Identifies and sources parts, supplies and repair items, as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. Compiles alternative packages for purposes of retrofit, upgrade, or alternative functionality of equipment.

· Independently performs maintenance as per industry standards; creates maintenance standards and instructions for altered or new manufacturing equipment.

· May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks.

· Conforms and complies with customer contractor codes of conduct, housekeeping standards, and safety processes.

· Alters, troubleshoots, and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems.

· Utilizes advanced maintenance technologies to collect equipment performance data. Observes trends and makes recommendations.

· Conducts on-the-job training and supports technical development of team.

Knowledge, Skills, Abilities (KSAs), & Competencies:

Essential KSAs:

· High School Graduate or equivalent (GED).

· Associates degree with a Technical focus and 12 years of related experience in specific industry; or, 15 years of experience in specific industry.

· Possesses comprehensive understanding of electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs.

· Must be able to use basic hand tools and specialized tools, and programming software as appropriate.

· Extensive travel required. (Local, National, International)

Desirable KSAs:

· Experience in condition-based maintenance techniques, precision mechanical alignments, maintenance of applicable process equipment, and automation integration.

· Robust experience in programmable logic controllers, field device troubleshooting, maintenance of electrical drive and motor systems, and motion control devices.

Competencies:

· Communications

· Customer Focus

· Personal Discipline

· Safety

Physical Demands and Working Conditions:

While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors.

Please note that compensation will vary based on the candidate’s experience and location. 

ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Manager, HR Systems to own and optimize our HR data and systems architecture. This highly visible role is for a strategic, hands-on HR tech leader who thrives in a fast-paced environment, but isn't afraid to get in the weeds. You will manage current HR systems, drive automation and efficiency, and prepare the company for a future Workday migration, enabling the People team to scale effectively.

What you'll do

• Serve as the strategic owner of HR data and systems, driving modernization and preparing for future HRIS migration
• Identify opportunities to leverage AI for automation and to streamline HR processes
• Manage and mentor a team of two direct reports while remaining hands-on with execution
• Partner with IT to build a scalable, sustainable, and future-proof HR systems architecture
• Maintain and optimize current HR platforms (AS400, Dayforce, Dimensions/UKG), ensuring data integrity and operational reliability
• Identify and implement opportunities to automate and streamline HR processes, reducing manual work across the People team
• Lead HR systems projects end-to-end, from gathering requirements to testing and rollout
• Collaborate with cross-functional partners to ensure systems meet business needs and compliance requirements
• Serve as the internal subject matter expert for HR data flows, reporting, and system integrations
• Monitor emerging HR tech trends and recommend tools and solutions to keep Metropolis ahead of the curve

What we're looking for

• Ability to work in-office 4 days a week
• 5+ years experience in HR systems management, with a track record of modernizing HR tech stacks
• Deep technical expertise in HR data architecture, process automation, and system integrations
• Proven leadership experience with the ability to manage, mentor, and inspire a team
• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions
• Comfortable working in a fast-paced, high-growth environment with shifting priorities
• Excellent communication and collaboration skills, capable of working cross-functionally with IT, HR, and business stakeholders

While not required, these are a plus:

• Experience with Dayforce, UKG/Dimensions, or similar HRIS platforms 

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $140,000.00 USD to $160,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-KD1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Operational Compliance Auditor to add value and improve our operations by bringing a systematic and disciplined approach to the effectiveness of risk management, control, and governance processes. The ideal candidate possesses thorough knowledge of accounting procedures and sound judgment, as you will review control processes to ensure the reliability of information, compliance with regulations, and the safeguarding of assets. In this role, you will act as an independent partner to operations management, interacting with various levels of leadership to provide timely recommendations and navigate difficult conversations regarding findings to ensure the achievement of our operational and financial goals.

What you'll do

• Act as an objective source of independent advice to ensure validity and goal achievement
• Identify loopholes and recommend risk aversion measures and cost savings
• Maintain open communication with management
• Conduct follow up audits to monitor management’s interventions
• Engage in continuous knowledge development regarding Metropolis's parking equipment, industry rules, regulations, best practices, tools, techniques, and performance standards
• Obtain, analyze and evaluate accounting documentation, reports, data, flowcharts, etc.
• Perform location audits at Commercial and Aviation sites using a structured audit format that follows adherence to standard operating procedures
• Prepare and present reports that reflect observations and recommendations to the Operational Audit Manager, Senior Facility Managers, and Regional Managers
• Work on special assignments such as consulting services for existing or prospective clients, investigation work involving suspected control breakdowns and fraud, development of department or localized training programs, and other strategic initiatives
• Travel 25-35% of the time

What we're looking for

• Bachelor's degree in Accounting, Finance, or a related field; or equivalent experience
• Proven working experience as a Senior Operations Manager, or equivalent experience
• Proven knowledge of auditing standards and procedures, laws, rules and regulations
• Proficient in common office software, such as Microsoft 365 and Google Workspace
• Ability to manipulate large amounts of data to compile detailed reports
• High attention to detail and excellent analytical skills
• Excellent writing and communication skills
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Prior management experience in parking, hospitality, or related industry

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $100,000.00 USD to $115,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Overview

We are seeking a highly motivated and detail-oriented GPU & Structured Cabling Project Manager to oversee and execute structured cabling projects in high-performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering, construction, and IT teams.

Responsibilities:

• Manage end-to-end structured cabling projects for data centers, including planning, execution, and close-out.
• Coordinate with internal teams, subcontractors, and vendors to ensure timely and quality delivery.
• Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry standards and client specifications.
• Conduct site surveys, develop scope of work (SOW), and prepare project documentation.
• Monitor project budgets, timelines, and resource allocation.
• Ensure adherence to safety protocols and quality assurance standards on-site.
• Provide regular updates to stakeholders and resolve project-related issues proactively.
• Travel frequently (up to 75%) to data center locations across the U.S.

Qualifications:

• 3–5 years of experience in structured cabling project management, preferably in data center environments.
• Strong understanding of cabling standards (TIA/EIA, BICSI) and best practices.
• Experience with GPU/AI-specific cabling layouts and high-density environments is highly desirable.
• Proficiency in reading and interpreting technical drawings and network diagrams.
• Excellent organizational, communication, and leadership skills.
• Ability to manage multiple projects simultaneously in a fast-paced environment.
• PMP or RCDD certification is a plus.
• Valid driver’s license and ability to travel extensively.

Job Type: Full-time

Compensation: $85,000 - $105,000 annually

Benefits:

• Health insurance
• Paid time off

For more details, visit www.totaldeployment.com.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

We are seeking an Observability Lead to own the strategy, execution, and technical direction of CTC's observability platform. In this role, you will lead a small, high-impact team responsible for the tools and systems that give our engineers, quants, and traders visibility into the health and performance of critical infrastructure and applications. This is an opportunity for a senior technologist who is passionate about building reliable, developer-friendly observability solutions and who thrives in an environment where the work directly impacts business outcomes.

WHAT YOU'LL DO

• Define and drive the observability roadmap, aligning platform capabilities with the needs of engineering teams, quantitative researchers, and trading operations.

• Lead the design, implementation, and continuous improvement of monitoring, alerting, logging, tracing, and metrics infrastructure at scale.

• Own the end-to-end developer experience of observability tooling - reducing friction, improving self-service adoption, and ensuring engineers can quickly diagnose and resolve production issues.

• Manage and grow a small team of engineers, providing technical mentorship, setting clear expectations, and fostering a culture of ownership and accountability.

• Partner with infrastructure, platform, and application teams to ensure observability is deeply integrated into the development lifecycle, CI/CD pipelines, and incident response workflows.

• Establish and enforce best practices for instrumentation, SLOs, alert quality, and operational readiness across the engineering organization.

• Evaluate emerging tools, frameworks, and approaches in the observability space, driving adoption where they deliver measurable value.

WHAT WE'RE LOOKING FOR

• 8+ years of technical engineering experience, with at least 3 years focused on observability, monitoring, or site reliability engineering.

• Demonstrated expertise designing, building, and operating observability platforms at scale - including metrics, logging, tracing, and alerting systems; deep experience with Datadog and OpenTelemetry strongly preferred.

• Proven experience leading or managing a small engineering team, with a track record of developing talent and delivering results through others.

• Strong understanding of distributed systems, micro-services architectures, and the observability challenges inherent in complex, high-throughput environments.

• Hands-on experience with Kubernetes and bare-metal infrastructure; understanding of the unique observability challenges across both containerized and traditional deployment models.

• Advanced programming proficiency in at least one of Python, Go, or Java; familiarity with C++ or low-latency systems is a strong plus.

• A product-oriented mindset — you think about observability as a service to internal customers and obsess over the developer experience of the tools you build.

• Exceptional communication skills with the ability to partner across engineering, operations, and business stakeholders.

• Financial sector experience (trading, prop trading, hedge funds) and familiarity with the demands of low-latency, high-reliability systems are strongly preferred.

• Advanced degree (MS, PhD) in Computer Science, Engineering, or related field is a plus.

Position Summary

The Equipment Manager is responsible for leading all equipment-related activities within Gotion Pack battery manufacturing in Manteno Illinois facility. This role oversees equipment calibration, validation, testing, commissioning, SOP development, future equipment projects and long-term reliability performance. Experience managing a team of more than 50 equipment engineers. This role requires strong technical depth, cultural adaptability, and unwavering commitment to safety, integrity, and innovation.

Key Responsibilities

1. Startup Leadership

Lead equipment commissioning for new production lines.

Coordinate factory acceptance testing (FAT) and site acceptance testing (SAT).

Oversee equipment calibration, validation, and performance verification.

Develop equipment startup timelines aligned with production ramp plans.

2. Equipment Installation, Calibration & Testing

Manage installation of key battery pack production equipment

Ensure precision calibration and alignment of automated and high-voltage systems.

Develop standardized calibration procedures.

Validate equipment capability against process specifications and yield targets.

3. SOP & Standardization Development

Develop and implement Standard Operating Procedures (SOPs) for:

Equipment operation

Preventive & predictive maintenance

Troubleshooting & escalation

Safety compliance

Establish equipment documentation control and revision management.

Ensure SOP alignment with global headquarters standards and local regulatory requirements.

4. Reliability, Equipment Uptime & Continuous Improvement

Establish preventive and predictive maintenance systems.

Track KPIs such as OEE, MTBF, MTTR, and downtime trends.

Drive root cause analysis (RCA) and corrective action implementation.

Lead TPM and continuous improvement initiatives in a startup environment.

Reduce unplanned downtime and improve overall equipment efficiency

5. Cross-Cultural & Global Collaboration

Serve as the primary liaison between local operations and Gotion headquarters support.

Collaborate with international OEM vendors and technical teams.

Demonstrate cultural awareness, respect, and adaptability in communication styles.

Support translation and technical alignment between global engineering standards and local implementation.

6. Leadership & Communication

Build and lead a high-performing equipment engineering and maintenance team.

Provide hands-on coaching during startup and ramp phases.

Communicate clearly across engineering, production, quality, EHS, and executive leadership.

Present technical performance updates to senior management and global support team.

7. Equipment Lifecycle Management

Oversee installation, commissioning, qualification, and validation of new equipment and future equipment project.

Develop long-term asset management strategies.

Manage capital equipment planning and budget forecasting.

Coordinate equipment upgrades, retrofits, and obsolescence management.

8. Manufacturing Process Support

Support critical battery pack production processes of the equipment.

Ensure equipment performance meets production yield and quality targets.

9. Team Leadership

Lead a team of over 50 equipment engineers, technicians, and maintenance supervisors.

Develop training programs for technical staff and operators.

Build succession planning and technical competency development programs.

Foster a culture of accountability, safety, and continuous improvement.

10. Safety & Compliance

Ensure compliance with OSHA, NFPA, environmental, and battery safety standards.

Enforce lockout/tagout (LOTO) procedures and high-voltage safety protocols.

Participate in safety audits and risk assessments.

Ensure safe handling of materials used in battery pack production.

11. Continuous Improvement

Drive Lean Manufacturing, TPM, and Six Sigma initiatives.

Improve OEE and reduce scraps related to equipment performance.

Implement digital maintenance systems (CMMS).

Benchmark best practices across global battery manufacturing sites.

12.Budget & Vendor Management

Manage maintenance and spare parts budgets.

Oversee critical spare parts inventory strategy.

Coordinate with OEMs and international equipment suppliers.

Negotiate service contracts and support agreements.

Required Qualifications

Bachelor’s degree in mechanical engineering, Electrical Engineering, Industrial Engineering, or related field.

7+ years of experience in high-volume manufacturing.

3+ years in equipment engineering or maintenance leadership role.

Experience with automated manufacturing lines.

Strong knowledge of PLCs, robotics, servo systems, and industrial controls.

Experience with CMMS systems.

Strong leadership and team management experience.

Preferred Qualifications

Experience in Lithium-ion battery manufacturing (LFP preferred).

Knowledge of dry room operations and humidity-controlled environments.

Experience in battery pack production.

Lean / Six Sigma certification.

Experience working in union manufacturing contractors.

Exposure to international equipment integration (Asia, Europe suppliers).

Key Performance Indicators (KPIs)

Overall Equipment Effectiveness (OEE)

Equipment uptime percentage

Mean Time Between Failure (MTBF)

Mean Time to Repair (MTTR)

Maintenance cost per unit produced

Safety incident rate related to equipment

Core Competencies

Strategic Equipment Planning

Technical Troubleshooting & Root Cause Analysis

Cross-functional Collaboration

Budget & Capital Planning

Safety Leadership

Data-Driven Decision Making

Work Environment

Manufacturing floor environment (dry rooms, high-voltage areas)

Requires PPE and adherence to strict safety standards

Occasional international travel for equipment validation or supplier visits

On-call support for critical production issues

Align it to battery pack production and pack line assembly.

The U.S. base salary range for this full-time position is $150,000 –$180,000, plus eligibility for bonus and benefits. Our salary ranges are determined by factors such as the role, level, and geographic location. The range listed in the job posting represents the minimum and maximum target salaries for this position across all U.S. locations. Actual compensation within the range will be influenced by the specific work location, along with factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Please note that the listed compensation reflects the base salary only and does not include bonus or benefits.

Job Title: Electrical Systems Engineer (480V Industrial Power)

Position Summary

This role supports installation, troubleshooting coordination, and ongoing maintenance of industrial electrical systems up to 480V in a manufacturing plant. The position focuses on understanding electrical drawings and overseeing contractor work, with occasional on-site verification and minor maintenance support after equipment handover.

Core Responsibilities (Must Do)

• Read and interpret electrical drawings and single-line diagrams (up to 480V)

• Act as technical contact for electrical contractors and vendors

• Support equipment installation, startup, and acceptance

• Identify electrical issues and coordinate corrective actions

• Maintain documentation and update redlines

• Ensure work follows electrical safety standards and NEC basics

Additional Responsibilities

• Assist with maintenance planning after project handover

• Perform basic inspection, testing, or minor adjustments when needed

• Support reliability improvements and root cause discussions

• Coordinate work with production and EHS teams

Required Qualifications

• Bachelor’s degree or above in Electrical Engineering or related field

• Experience with industrial electrical systems in a plant or manufacturing environment

• Ability to understand electrical schematics and power distribution diagrams

• Basic troubleshooting logic and communication skills

• Comfortable working on-site around equipment

Nice to Have

• Electrician or electrical technician background

• Experience with MCCs, motors, or VFDs

• Equipment installation or commissioning exposure

• Electrical license

• 24/7 manufacturing environment experience

Working Conditions

On-site role in a manufacturing environment with occasional off-shift support during equipment startup or issues.

The U.S. base salary range for this full-time position is $80,000 –$120,000, plus eligibility for bonus and benefits. Our salary ranges are determined by factors such as the role, level, and geographic location. The range listed in the job posting represents the minimum and maximum target salaries for this position across all U.S. locations. Actual compensation within the range will be influenced by the specific work location, along with factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Please note that the listed compensation reflects the base salary only and does not include bonus or benefits.

Title: Utilities Equipment Engineer (Industrial Utilities & Environmental Systems)

Position Summary

The Utilities Equipment Engineer is responsible for the operation, maintenance, troubleshooting, and continuous improvement of industrial utility and general equipment systems within a manufacturing facility. This role focuses on hands-on equipment management, daily operation, and team coordination, ensuring stable, safe, and efficient utility support for plant operations.

Key Responsibilities

• Supervise and coordinate daily activities of utility maintenance engineers and technicians.
• Manage daily inspection and operation of industrial utility and general equipment, and establish maintenance standards and preventive maintenance plans.
• Operate, maintain, and troubleshoot utility equipment, including:
• Air compressors
• Nitrogen generation systems
• Vacuum pumps
• Central dust collection systems
• VOC exhaust treatment and related environmental equipment
• Wastewater treatment systems and processes
• Diagnose and resolve equipment abnormalities and failures to ensure high equipment availability.
• Support daily operation, commissioning, and performance optimization of utility systems.
• Lead technical improvement initiatives, reliability enhancements, and introduction of new utility equipment or technologies.
• Maintain equipment documentation, SOPs, and maintenance records.
• Coordinate with production, facilities, and EHS teams to support manufacturing operations.
• Participate in shift coverage or night shift operations as required.
  
  

Required Qualifications

• Minimum 2+ years of experience in industrial utilities, facilities, or equipment engineering.
• Hands-on experience with at least two of the following systems:
• Air compressors
• Nitrogen generators
• Vacuum pumps
• Central dust collection systems
• Solid understanding of the operating principles and structure of general industrial utility equipment.
• Strong troubleshooting, repair, and preventive maintenance experience.
• Ability to read and understand equipment manuals, P&IDs, and technical documentation.
• Experience working in a manufacturing or industrial plant environment.
  
  

Preferred Qualifications

• Experience with VOC exhaust treatment systems and industrial wastewater treatment processes.
• Prior experience supervising or coordinating engineers and technicians.
• Familiarity with CMMS or maintenance management systems.
• Bilingual (English and Mandarin or other languages) preferred.
  
• Experience in battery, semiconductor, chemical, electronics, or high-tech manufacturing facilities.
• Willingness to work night shifts or rotating shifts.
  
  

Working Conditions

• On-site role in an industrial manufacturing environment.
• Hands-on, equipment-focused engineering position.
• Shift work or night shift availability preferred.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

We are seeking an experienced Observability Consultant with deep expertise in OpenTelemetry and strong Platform Engineering capabilities to help organizations implement, optimize, and scale their observability infrastructure. This role requires a specialist who can design comprehensive telemetry strategies, implement distributed tracing solutions, establish robust monitoring practices, and interface closely with clients on the observability journey.

Key Responsibilities:

OpenTelemetry & Observability

• Design and implement end-to-end OpenTelemetry solutions across diverse technology stacks
• Configure and deploy OpenTelemetry Collectors for efficient data collection, processing, sampling, and routing
• Establish telemetry pipelines for metrics, traces, and logs across microservices architectures
• Optimize collector configurations for performance, reliability, and cost-effectiveness

Platform Engineering & Infrastructure

• Augment existing infrastructure with with integrated observability solutions
• Implement Infrastructure as Code (IaC) solutions using Terraform, Pulumi, CloudFormation, etc.
• Architect and manage Kubernetes clusters with comprehensive monitoring and logging
• Build CI/CD pipelines with embedded observability and automated testing

Site Reliability Engineering (SRE)

• Establish and maintain Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs)
• Implement error budgets, toil reduction strategies, and capacity planning
• Support incident response procedures and post-mortem processes

Cloud & DevOps Engineering

• Deploy and manage observability infrastructure across AWS, GCP, and Azure
• Establish security, compliance, and governance frameworks for telemetry data
• Experience automating Agent Evaluations in CI/CD pipelines and observability backends.

Required Qualifications:

Core Observability & OpenTelemetry

• 3-5 years of experience in observability, monitoring, and distributed systems
• Deep hands-on experience with OpenTelemetry ecosystem, including SDKs, APIs, and specifications
• Proficiency with OpenTelemetry Collector configuration, processors, exporters, and receivers
• Strong understanding of telemetry data models, semantic conventions, and instrumentation best practices

Platform Engineering & DevOps

• 5+ years of Platform Engineering or DevOps experience with focus on site reliability, observability, and incident response
• Proficiency with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, CDK)
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, ArgoCD)

Cloud & Infrastructure

• Hands-on experience with major cloud providers (AWS, GCP, Azure) and their observability services
• Experience with container technologies (Docker, Podman) and container registries
• Knowledge of networking, security, load balancing, and distributed systems concepts

Site Reliability Engineering

• Experience implementing SRE practices including error budgets and toil metrics
• Proficiency in incident management, on-call procedures, and post-mortem culture
• Experience with capacity planning, performance optimization, and scalability design

Programming & Automation

• Proficiency in multiple programming languages preferred (Go, Python, Java, Node.js, Rust)
• Strong scripting and automation skills (Bash, Python, PowerShell)
• Understanding of software engineering best practices and testing methodologies

Preferred Qualifications (Exceptional Candidates)

AI & Agentic Frameworks

• Understanding of Large Language Models (LLMs) and their application in DevOps
• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG)
• Experience with AI/ML model deployment and monitoring in production environments

Leadership & Communication

• Strong technical writing and documentation skills
• Ability to present complex technical concepts to diverse stakeholders
• A passion for knowledge sharing

Key Competencies

• Systems thinking and ability to design holistic observability solutions
• Strong analytical and troubleshooting skills for complex distributed systems
• Curiosity about emerging technologies, particularly AI applications in operations
• Adaptability to rapidly evolving cloud-native and observability technologies
• Collaborative mindset with focus on enabling developer productivity and system reliability

What Sets Exceptional Candidates Apart:

• Experience with Honeycomb
• Contributions to open-source observability or AI framework projects
• Track record of implementing platform engineering solutions that significantly improved developer experience
• Experience scaling observability infrastructure to handle high event volume

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $130,000 - $170,000.

Description

As a DevOps/SRE intern, you will be a part of a team which directly works on projects that span every level of our technology stack at TransMarket Group. From developing systems that automate the building, testing, and deployment of latency-sensitive trading applications, to designing and implementing critical back-office data flows and applications, your work will enable us to systematically improve our software. This, in turn, will tighten feedback loops and accelerate application development, directly contributing to increased P&L at the firm.

While closely interacting with our global technology teams, you’ll need to strike a careful balance between reliability and innovation. Given the breadth of the projects you will be involved in, no two days will feel the same. The ideal candidate will be self-driven and excited to learn about our trading operations from top to bottom.

Responsibilities

• Provide day to day support of the firm’s proprietary software trading environment
• Work directly with our Traders, Trade Developers, Platform Developers,  and IT Team to automate and maintain systems for deployment of trading software, configuration management, CI/CD and backtesting pipelines
• Work with end users to design monitoring and alerting systems that can be used to catch and diagnose issues in real time to help ensure the health of our trading environment
• Designing and maintaining continuous delivery pipelines for our  trading platform components. 
• Building and maintaining infrastructure monitoring and alerting systems to help us quickly diagnose and resolve issues.
• Collaborating with co-workers on designing applications and platform components to meet automation requirements.
• Ensuring that software and infrastructure components are up-to-date and free of any security vulnerabilities
• Systematising and then documenting new and existing processes to help us tame our ever changing IT operations
• Working on automated provisioning of new servers and updating existing ones
• Working as part of an in-office team to collaborate directly with our experienced traders and technologists on brainstorming and implementing creative solutions to a wide range of problems.

Requirements

• Pursuing a BA/BS/MS Computer Science, Engineering, Information Technology or related industry experience
• Must be fluent in Python (or any other programming language at the time of interview).
• Proficient with code collaboration tools (git, GitLab / GitHub / Bitbucket)
• Basics of container-based technology (Docker)
• Basic understanding of how infrastructure management tools work (Ansible or Puppet)
• Basic understanding of CI/CD tools (GitLab CI/CD, GitHub Actions, Jenkins)
• Basic understanding of monitoring tools such as Prometheus, Grafana.
•  Preferred:
  • Understanding of database design and administration.
  • Interest in financial markets and trading software.