As a Senior Systems Operations Engineer at Spire, you will be responsible for ensuring that on-orbit mission operations meet and sustain technical and service-level objectives. You will serve as the technical link between the development and operations phases of the mission lifecycle, ensuring that the constellation behaves as expected and that any deviations are rapidly understood, assessed, and resolved with sound engineering judgment.  

This role is central to Spire’s strategy to deliver scalable, reliable, and technically assured services using model-based engineering and validated asset profiles. Your work will ensure that decisions affecting constellation performance are made with technical insight.  

Role Responsibilities:  

• Own the technical quality of mission operations during the on-orbit service period, ensuring Service Level Agreements (SLAs) are well defined, monitored, and maintained. 
• Assess and design strategies to address underperformance, providing detailed technical insight and coordinating resolution strategies in collaboration with Systems Engineering, Mission Design, and SRE. 
• Define and manage the high-level structure and performance requirements of asset profiles, ensuring they accurately represent mission needs and provide a clear basis for verification. Work with System Owners and SMEs to ensure subsystem capabilities are properly characterised, and with SREs to ensure ongoing validation of in-orbit performance. 
• Bridge the gap between Systems Engineering, Mission Design, Program Management, Customer Service, and SRE by providing technical leadership during the mission service period. Define the tooling and functional monitoring needs that enable the SRE team to maintain constellation health and respond effectively to deviations. 
• Support SRE, Platform, and Customer Service leads in triaging constellation or satellite issues that deviate from nominal asset profile definitions, ensuring escalation paths and responses are technically justified. 
• Act as a technical reviewer and contributor during Mission Readiness Review (MRR) and pre-launch handover, ensuring operational teams are equipped with validated, well-understood assets and clearly defined expectations for mission performance. 
• Identify operational risks and propose mitigations related to in-orbit performance, platform limitations, or evolving CONOPS. 
• Ensure technical consistency and justification for on-orbit changes such as mode transitions, re-tasking, or adjustments to duty cycles or resource allocations. Lead the rollout of complex fleet-wide changes when CONOPS are being updated, ensuring risks and dependencies are managed. 
• Collaborate across SRE, Platform, and Systems teams to codify lessons learned into reusable operational standards, documentation, and improved design practices for future missions. 
• Derive and maintain Operational Requirements by helping project teams translate mission and system-level requirements into operational-level non-functional requirements (SLOs, latency, freshness, availability), with verification methods and traceability. 
• Support configuration control during service, helping manage the versioned operational baseline (limits, parameters, tasking configurations) and working with SREs, System Owners, and Customer Service to prevent configuration drift across the fleet. 
• Support the definition and coverage of FDIR (Fault Detection, Isolation, and Recovery) logic, ensuring coverage against top failure modes and reducing residual operational risk over time. 

Basic Qualifications:  

• BSc in Aerospace Engineering, Systems Engineering, Computer Science, or other relevant technical discipline. 
• 3+ years of experience in system performance monitoring, root cause analysis, and anomaly resolution. 
• Solid understanding of space system behaviour on orbit, including thermal dynamics, power management, RF communications, and tasking impacts. 
• Ability to translate system-level engineering context into clear operational guidance and tooling requirements. 
• Familiarity with SLA-driven architectures, system observability, and mission assurance principles. 
• Clear communication skills to align stakeholders across engineering, operations, and customer delivery. 
• Familiarity with software tools and frameworks used in operations, including strong Python, SQL skills and GitHub-based workflows. 

Preferred Qualifications:

• 3+ years of experience supporting operations of multi-satellite constellations. 
• Knowledge of asset profiling approaches and system models (including fault profiles, mode transitions, and performance boundaries). 
• Understanding of ground-segment tooling, SRE practices, or telemetry/telecommand systems. 
• Experience working with cross-functional, multi-time zone teams across engineering and operations. 
• Background in satellite mission design, including the transition from development to operations. _LI-MK1

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _LI-MK1

ABOUT THE TEAM

The Anduril Battlespace Awareness Radar team develops innovative and differentiated radar solutions to tackle significant security challenges for America and its allies. We are looking for highly collaborative engineers that will bring significant expertise, experience and energy to the team's endeavors.  

ABOUT THE JOB

Anduril seeking a skilled and experienced Edge Software Deployment Engineer to join our radar software team. The ideal candidate will be responsible for deploying, managing, and securing software that runs on the embedded, heterogeneous processors within our radar systems. This role requires a unique blend of embedded systems knowledge, DevOps practices, and experience with diverse hardware architectures.

WHAT YOU WILL DO

• DevOps for Embedded Systems: Adapt standard DevOps principles and tools for the unique constraints of embedded systems for Radar, which includes managing fleet-wide software updates for devices with intermittent connectivity.
• Security: Integrate security best practices and tools into the development and deployment process from the beginning (DevSecOps). This includes core security hardening (e.g., implementing STIGs), kernel hardening (e.g., using Address Space Layout Randomization, Control Flow Integrity, and securing boot processes), securing the software supply chain, managing updates, and implementing robust security controls on embedded hardware.
• Deployment and Provisioning: Lead the design and automation of the edge provisioning pipeline, from operating system setup to application deployment and monitoring.
• Continuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines using tools like CircleCI to automate the build, testing, and deployment of software to edge devices.
• Operating Systems (OS): Manage and customize embedded Linux distributions (e.g., using Yocto or NixOS) for performance, reliability, and security on ARM and GPU architectures.
• Heterogeneous Architecture Support: Deploy and manage software across our diverse hardware platform, which includes:
  • Nvidia Jetson: Deploy, optimize, and manage software on Nvidia Jetson GPUs
  • FPGAs: Interact with HDL firmware for FPGAs (Altera Agilex, Xilinx Ultrascale) and C++ applications for soft processors within FPGAs,  using development toolchains like Quartus and Vivado.
  • CPU Architectures: Deploy and manage software for ARM CPU architectures.
• System Integration: Collaborate with hardware, firmware, and software engineering teams to ensure seamless hardware-software integration.
• Troubleshooting: Provide technical support and troubleshoot software issues on fielded devices.

REQUIRED QUALIFICATIONS

• 8+ Years of experience and a Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• Proven experience in a DevOps, SRE, or embedded systems role.
• Deep expertise in Linux internals and system-level configuration.
• Experience with declarative configuration management, preferably with Nix or NixOS, for creating reproducible build environments.
• Experience with CI/CD tools such as CircleCI.
• Proficiency in scripting languages like Python and Bash.
• Hands-on experience with hardware-in-the-loop (HITL) and system integration labs (SIL).
• Experience with containerization (Docker) and orchestration tailored for resource-constrained edge environments.
• Solid understanding of cybersecurity principles for embedded and edge devices, including core hardening techniques.
• Excellent communication and problem-solving skills.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

DESIRED SKILLS (PLUS)

• Experience with bootloaders like U-Boot and secure boot processes.
• Familiarity with FPGA development tools such as Quartus and Vivado.
• Knowledge of network protocols and security on embedded systems.
• Experience deploying embedded systems in air-gapped or intermittently connected environments

Location: This role is based at our Louisville, CO office with the option to work a few days a week remotely. 
Travel: Up to 5%
Job ID: 1570

The Role

Capella is looking for an energetic Senior Electrical Engineer Manager who will be responsible for leading and managing a team of electrical engineers who design, develop, and test electrical systems and components. This role involves supporting project execution, ensuring compliance with industry standards, and driving innovation of our electrical systems within our satellite.

This role will sit within the Spacecraft Engineering team at Capella Space. This team contains a variety of engineering disciplines that design and develop the satellite and payload systems.

Responsibilities

Leadership and Management:

• Lead, mentor, and develop a team of electrical engineers, providing guidance, support, and performance feedback of a distributed team across two offices.
• Assign people to tasks and manage workloads to ensure timely project completion.
• Foster a collaborative and innovative team environment.

Project Oversight:

• Oversee the design, development, and testing of electrical systems and components for our application.
• Allocate resources effectively to meet project goals and deadlines.
• Support systems engineering requirements.

Technical Expertise:

• Provide technical expertise and guidance on electrical design, integration, and troubleshooting.
• Stay current with industry trends, emerging technologies, and regulatory requirements.
• Drive continuous improvement in electrical engineering practices and processes.

Compliance and Quality Assurance:

• Ensure compliance with aerospace industry standards, including safety, reliability, and regulatory requirements.
• Implement and enforce quality assurance procedures to maintain high standards in all engineering activities.

Qualifications

• Education: Bachelor’s degree in Electrical Engineering; a Master’s degree or higher is preferred.
• Experience: 
• Minimum of 12 years of experience designing, testing, and troubleshooting complex board designs and systems in a hardware R&D lab environment, with 4 years in a managerial or leadership role.
• Proven experience in aerospace systems, or similar high reliability industry, and components is highly desirable.
• Skills: 
• Understanding of hardware evaluation methodologies, including development of test cases/suites, performance analysis, test automation, and data analysis 
• Extensive experience with oscilloscopes, logic analyzers, thermal chambers, and other test equipment 
• Experience with I2C, SPI, PCIe, USB, etc. 
• Experience designing modern analog and digital electronics 
• Experience in PCB schematic capture & layout
• Experience with Altium designer tools or other similar electronic CAD tools 
• Experience designing high reliability systems 
• Knowledge of the PCBA fabrication and assembly process 
• Familiarity with PLM tools and strong revision control practices 
• Excellent design and manufacturing documentation skills with attention to detail 
• Ability to work autonomously by determining and evaluating different courses of action independently 
• Strong technical communication skills to be used in a highly collaborative environment

Required Qualification

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here.

Compensation 

The approximate base salary range for this position is $192k - $220k DOE. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site. 

THE ROLE

We are seeking a Director, IT & Enterprise Architecture to lead Voltera’s technology strategy while directly driving execution of critical initiatives across the organization.

This role is ideal for a hands-on technology leader who thrives in a scaling environment. We are looking for someone who can set the vision while also driving execution. You will be responsible for building and operating a scalable technology ecosystem, leading the definition of systems and workflows, and establishing strong governance and security frameworks. This role requires a leader who can establish the systems architecture across the company and ensure that data, systems, and processes not only operate reliably, but actively enable business performance across the organization.

The ideal candidate is a business-minded operator with deep technical expertise and a track record of scaling IT in complex, multi-site infrastructure-heavy environments. They bring a strong balance of strategic thinking and executional rigor, with the ability to lead cross-functional initiatives, own program delivery end-to-end, and step in tactically when needed to move critical work forward.

WHAT YOU’LL DO:

Own Enterprise IT Strategy & Architecture

• Gather, evaluate, and consolidate operational and busiess requirements across all departments.
• Based on these requirements, define and execute a multi-year IT and enterprise architecture roadmap aligned with company growth objectives
• Establish a scalable, secure, and resilient systems architecture across corporate, field, and remote environments Drive standardization across platforms, tools, and data systems

Lead Technology as a Business Enabler

• Partner with executive and functional leaders to align technology investments with business priorities and operational outcomes
• Enable seamless data flow across development, construction, and operations to support decision-making and analytics
• Identify opportunities to leverage technology to improve efficiency, visibility, and scalability

Build & Lead a High-Performing IT Organization

• Build, lead, and mentor a high-performing, service-oriented IT team
• Establish clear operating models, SLAs, and performance metrics
• Foster a culture of ownership, reliability, and continuous improvement

Own Cybersecurity, Risk & Governance

• Define and implement enterprise-wide cybersecurity, governance, and compliance frameworks (e.g., SOC 2, ISO, NIST)
• Own risk management, incident response, and business continuity strategy
• Ensure strong data governance, access controls, and system integrity across all environments

Oversee Systems, Infrastructure & Integrations

• Own the strategy and performance of enterprise platforms (CRM, ERP, collaboration tools, cloud infrastructure)
• Ensure reliable and secure connectivity across offices, job sites, and remote teams
• Drive integration across systems to create a unified, scalable data ecosystem

Vendor & Investment Leadership

• Own IT budget, vendor strategy, and with legal,  contract negotiations
• Evaluate and implement technology investments that deliver long-term business value and scalability

MUST-HAVE:

Experience

• 10+ years of progressive IT experience, including 5+ years in a leadership role owning enterprise IT or architecture
• Proven experience building and scaling IT systems in multi-site, infrastructure-heavy, or high-growth environments
• Track record of leading enterprise-wide technology strategy and transformation initiatives

Leadership

• Experience building and leading high-performing technical teams
• Strong executive presence with the ability to influence cross-functional and senior stakeholders
• Ability to operate at both strategic and operational levels

Technical & Business Expertise

• Deep expertise in cloud architecture (AWS), enterprise systems, networking, and cybersecurity
• Strong understanding of data architecture, integrations, and SaaS ecosystems
• Experience implementing governance frameworks such as SOC 2, ISO 27001, NIST
• Strong business acumen, including budget ownership and vendor management

NICE-TO-HAVE:

• Master’s degree in information systems, Computer Science, or related field
• Experience in the energy, construction, utilities, or EV infrastructure industries
• Certifications such as PMP, ITIL, CISSP, CISM, AWS, Salesforce Administrator and/or Developer
• Familiarity with SOC2 Type-2, ISO 27001, NIST 2.0 environments

LOCATION:

• Culver City, CA or Denver, CO (Hybrid)

COMPENSATION:

• Denver: $160K – $195K base salary
• Los Angeles: $175K – $205K base salary

Exact compensation may vary based on skills, experience, and location.

Our total compensation package includes the base salary, bonus, incentive equity compensation, and competitive benefits (medical/vision/dental insurance, matching 401(k), unlimited vacation time, & EV incentive).

Candidates must have authorization to work in the U.S. on a permanent basis. Relocation benefits are not available.

#LI-Hybrid

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

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

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

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:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

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 program
• Generous global benefits package
• 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, including 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-Hybrid

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

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:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

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.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

Sovrn is a supply-side platform (SSP) built to help publishers grow, protect, and understand their businesses. We operate at the intersection of programmatic advertising infrastructure and publisher monetization — processing hundreds of billions of ad requests daily across a global, high-throughput exchange.

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

The Field Program Manager (FPM) is a hands-on leader aligned to a US Army Division HQ who serves as Striveworks’ primary program leadership presence for the Next Generation Command and Control (NGC2) program. This is an “ownership” role, not a coordination role; you are the primary authority for delivery, customer relationships, and growth. The FPM collaborates across a small, cross-functional project team to drive execution against the program roadmap and is the person Striveworks leadership calls when something is at risk. This position is designed for someone who has experience in complex Army environments, who understands how Division-level decisions are actually made, and who is done watching technology fail to land because nobody owned the last mile.

At Striveworks, you are trusted to operate autonomously, step into vacuums, and advocate for the end user with technical specificity. Success is measured by presence and follow-through rather than slide decks. You will serve as the company’s voice in the room, translating customer friction points into actionable technical roadmaps while maintaining a persistent pulse on how capabilities are utilized in the field. We value proactive problem-solvers who can mitigate execution risks independently and ensure that mission-critical systems land effectively within the formation.

Day-to-day responsibilities:

• Own the relationship: Serve as the primary point of contact for all stakeholders, from end users to Division leadership, to build trust and ensure long-term retention
• Drive growth: Identify expansion opportunities within the formation and surface competitive threats or “win signals” to leadership with enough lead time to act
• Define success: Diagnose operational problems before the customer names them, ensuring that Striveworks’ capabilities are providing measurable value
• Bridge the technical gap: Translate field needs into specific, actionable inputs for the engineering team to ensure that product development matches mission reality
• Execute the roadmap: Synchronize technical delivery with contractual milestones, the customer’s operational calendar, and exercise cycles to ensure on-time execution
• Mitigate risk: Identify delivery obstacles early, and autonomously resolve execution issues—escalating them to leadership only with recommended courses of action, not problems

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time to our customer sites in Fort Carson, Colorado.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor’s degree and 4–6+ years of experience with military operations at Division (2-star) level or higher 
• Demonstrated experience planning and directing the execution of complex, multi-stakeholder project activities; proven team leadership in high-accountability environments
• Track record of building and sustaining rapport and trust with senior military and civilian stakeholders across different organizational levels
• Strong written and verbal communication; able to operate credibly across Soldier-level and executive-level audiences in the same day
• Technical fluency to engage software engineers and data scientists as an informed, non-technical counterpart; the ability to translate customer needs to contractual requirements
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Former Field Grade Officer or Senior NCO, or similar
• Direct experience implementing or integrating battlefield technology within Army formations; you’ve seen a capability succeed or fail at the unit level, and you know why it happened
• Familiarity with DOD IT, network, and communications infrastructure as an operational reality, not just a technical concept
• Working knowledge of agile software delivery practices; able to hold a technical team accountable to a cadence without micromanaging the engineering
• Meaningful exposure to machine learning/AI capabilities in operational or defense contexts—enough to recognize value, identify misuse, and advocate credibly for the customer
• Aptitude with customer success or account management functions within a defense technology vendor 

The anticipated base pay range for this position is $145,000–$185,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Who we are:  

We're transforming one of the world’s oldest industries with cutting-edge technology and an innovative approach. Backed by top-tier investors and recognized by Time as one of the "best Inventions of 2024" and Fast Company as one of 2024's "Next Big Things in Tech", Electra is scaling rapidly and we're looking for bold, driven individuals to help us reshape the future of iron production. If you're ready to make a real impact in a company that's redefining heavy industry for a cleaner, smarter world, we want to hear from you.

What you will do:  

As a Controls Engineer III, you will focus on designing and building data acquisition and process control systems for chemical processing. These systems will integrate instrumentation, controls, plumbing, fluid power, and solids handling to enable novel electromechanical and metallurgical processes for clean iron production.     

Responsibilities include:

• Design, develop, and maintain electrical, instrumentation, and control (EIC) systems for iron-production processes from concept through detailed design, fabrication, commissioning, and handover 
• Owns programming and troubleshooting Siemens S7 PLCs (TIA Portal), Ignition HMI & SCADA, and associated communication networks   
• Work on the full lifecycle of control system design, including P&IDs, I/O lists, control narratives, instrumentation specifications, electrical schematics, panel layouts, and network architectures  
• Ensure all control systems are efficient, reliable, safe, compliant with applicable codes/standards (e.g., NEC / NFPA, ISA, IEC), and aligned with site EHS requirements 
• Collaborate cross-functionally with process engineering, mechanical systems, operations, and R&D teams to define system requirements and control strategies   
• Work on integration efforts for new and existing equipment, including PLC/HMI/SCADA system architecture and control strategies   
• Lead and execute the installation, configuration, commissioning, and site acceptance testing (SAT) of control systems
• Conduct system testing, tuning, loop checks, and validation to ensure optimal and stable process performance 
• Develop, maintain, and review electrical design packages in SolidWorks Electrical, including control panel designs, wiring diagrams, and bill of materials   
• Read, understand, and comply with all workplace health and safety policies, safe work practices, and company policies and procedures  
• Perform other duties as assigned by supervisor in a rapidly evolving startup environment  

What we need you to bring to the team:   

• Bachelor’s degree in electrical engineering, control systems engineering, automation engineering, or related  
• 5+ years of industry experience working on controls and data acquisition (excludes internships, co-ops, and other school projects) 
• Exhibits high-level programming proficiency in one or more languages (C/C++, C#, Python, JavaScript, or equivalent), developing, modifying, and troubleshooting software solutions to address complex control, analytics, or automation challenges  
• Demonstrates advanced, hands-on experience with industrial instrumentation, including voltage, amperage, temperature, pressure, level, weight, and flow measurement systems; independently evaluates instrumentation performance and resolves complex measurement and integration issues
• Applies proven proficiency with industrial automation communication protocols (e.g., Modbus, Profibus, Ethernet/IP, RS‑485), selecting and adapting protocols to meet system integration, reliability, and performance requirements across diverse applications
• Demonstrates proficient knowledge of industrial control system (ICS) design principles, including instrumentation specification, P&IDs, and relevant ISA/IEC standards 
• Demonstrates the ability to independently implement industrial electrical safety programs—including Lockout/Tagout (LOTO), arc‑flash boundaries, and electrical safe‑work practices—and to assess risks in unusual or nonroutine situations while recommending corrective actions to maintain regulatory and operational compliance

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

The Embedded Operations Manager is Striveworks’ permanent, on-the-ground presence at a US Army Division HQ, accountable for the “last mile” of the NGC2 program. Partnered with the Field Program Manager and Technical Lead, you bridge the gap between high-level program intent and daily tactical execution. This role is designed for a mission-driven professional who thrives on proximity to the Soldier and understands that in an operational environment, presence and follow-through are the only currency that matters. You are the critical link that determines whether Striveworks is viewed as a vendor or a trusted partner.

Operating with high autonomy, you manage the ground-level logistics, readiness, and relationships that keep the program moving. An Embedded Operations Manager operates with autonomy, sound judgment, and an ownership mentality—not because someone is watching, but because the mission demands it. This role requires someone who can hold the ground professionally when the rest of the team is remote, who can read a room full of Soldiers and a room full of senior leaders with equal credibility, and who knows instinctively when to solve a problem and when to escalate one. As an operations manager, you take personal ownership of the mission. You are the program’s earliest warning system, ensuring that our software engineers and data scientists are perfectly synced with the unit’s operational reality.

Day-to-day responsibilities:

• Ensure operational readiness: Own the preparation and execution checklists for all exercise cycles and operations, avoiding preventable gaps in systems or facilities access
• Manage on-site logistics: Lead end-to-end ground logistics, including equipment accountability, teammate enablement, and local project team coordination
• Cultivate Soldier-level trust: Build deep, daily relationships across the formation to ensure that Striveworks’ capabilities are integrated into the unit’s actual workflow
• Act as an early warning system: Identify and surface customer friction points, sentiment shifts, and emerging requirements to leadership with enough lead time to act
• Resolve ground-level issues: Handle customer exceptions and satisfaction issues autonomously, escalating scope changes or senior commander demands to the Field Program Manager
• Coordinate field execution: Synchronize on-site team activities with the technical roadmap, ensuring ground-level progress alignment to operational requirements
• Maintain situational awareness: Provide continuous updates on delivery risks and blockers to ensure that program leadership is never surprised by conditions on the ground

This position offers a hybrid/on-site work environment at our customer sites in Fort Carson, Colorado. You will be expected to travel up to 15% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor’s degree or equivalent demonstrated experience and 3+ years of experience with military operations at brigade level or higher; someone who understands how formations operate, not just how they’re organized 
• Demonstrated ability to operate autonomously in ambiguous, high-stakes environments; sound judgment about when to act and when to escalate
• Track record of building trust with Soldiers and senior leaders through presence and follow-through—not rank or slide decks
• Strong written and verbal communication across organizational levels; able to represent Striveworks credibly in any room at the formation
• Sufficient technical fluency to participate meaningfully in software delivery conversations without leading them
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Direct experience with Army battlefield technology implementations at the unit level; you’ve watched a capability land well or fail badly, and you know the difference
• Familiarity with DOD IT, network, and communications infrastructure as an operator, not just an observer
• Experience with systems-account management, system access administration, or similar on-site enablement responsibilities in a DOD environment
• Prior experience in an embedded, liaison, or resident role with a defense technology vendor or program office
• Exposure to agile software delivery practices—enough to track a sprint, understand a backlog, and ask the right questions of a technical team
• Enough familiarity with machine learning/AI capabilities in operational contexts to explain basic value propositions to a skeptical Soldier

The anticipated base pay range for this position is $130,000–$160,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

About Skyloom 

Skyloom is a telecommunications company founded with the mission to develop, deploy, and operate one of the fundamental pieces of tomorrow's space communication infrastructure to provide data transport services on a planetary scale. If you have a strong sense of purpose, focus, urgency, and willingness to compete—or if working on space lasers excites you—join our team to develop the future generation of space communication technology.

Location: This role will be on-site at our Broomfield, Colorado, office. 
Travel: Up to 5%
Job ID:  1446

The Role

The System Integration & Test Engineer is responsible for executing subsystem- and system-level integration and test activities across a range of hardware and software complexities. This role ensures that individual components and fully integrated systems perform according to requirements through structured verification and validation processes.

This position requires a strong combination of hands-on testing capability, systems thinking, and software/scripting proficiency to support automated testing, data acquisition, and analysis. The engineer will work closely with electrical, mechanical, optical, and software teams to troubleshoot issues, validate performance, and improve system reliability.

Responsibilities 

•  Execute subsystem and system-level test campaigns (functional, performance, environmental, acceptance)
• Develop and execute test plans and procedures from requirements
• Support system integration across electrical, mechanical, optical, and software domains
• Troubleshoot integration and test anomalies
• Monitor and analyze test data in real time
• Develop and maintain test scripts and automation tools
• Support hardware-in-the-loop (HIL) systems
• Prepare and support TRR and TRB reviews
• Ensure documentation, traceability, and configuration control
• Improve test processes and infrastructure

Qualifications

• Experience with integration and testing of complex hardware systems
• Experience with oscilloscopes, signal generators, spectrum analyzers, power supplies, DAQ systems
• Troubleshooting of analog, digital, and mixed-signal systems
• Strong scripting skills (Python, MATLAB or similar)
• Data acquisition and analysis experience
• Ability to read schematics and engineering drawings
• Strong problem-solving and communication skills
• Bachelor’s or advanced degree in Engineering (Electrical, Mechanical, Aerospace or similar)
• Minimum 3 years of relevant experience

Preferred Qualifications

•  Experience with automated test frameworks
• Linux and embedded systems familiarity
• Requirements-to-test translation experience
• Aerospace or defense background
• Spanish language skills

Compensation 

The approximate base salary range for this position is $90,000 - $100,00. The total compensation package includes base salary, bonus, equity, and a range of benefits available on our career site.   

**Benefits will be provided by Skyloom, Inc., an IonQ Company, and will differ from the benefits listed on the IonQ website.**

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making.

Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments.

In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models.

What you’ll do:

• Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems
• Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support
• Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters
• Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems
• Build and maintain CI/CD workflows for ML services, model artifacts, and platform components
• Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment
• Improve observability, reliability, security, and maintainability across ML infrastructure and services
• Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads
• Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments
• Support compliance-driven deployment practices and secure software supply chain requirements in defense environments
• Get hands-on with customers at the most forward-leaning places in the Department of War

What we are looking for:

• 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles
• 5+ years of experience with Docker and Kubernetes in production environments
• 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments
• Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production
• Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams
• Practical experience deploying machine learning workloads on Kubernetes
• Experience managing clusters or workloads that use GPUs
• Strong understanding of Helm and Kubernetes deployment patterns
• Strong scripting or programming skills, preferably in Python
• Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows
• Strong troubleshooting, systems thinking, and communication skills
• Ability to work independently and collaboratively in a fast-moving environment
• Ability to obtain and maintain a Top Secret clearance
• Ability to obtain Security+ certification within the first 90 days of employment

Highly preferred:

• Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies
• Experience with secure and compliant deployment practices in regulated or government environments
• Experience with Kubernetes-based ML platforms such as Kubeflow
• Familiarity with service mesh technologies such as Istio
• Experience provisioning and debugging complex CI/CD systems
• Experience with infrastructure as code tools such as Terraform
• Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning
• Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge
• Background working with machine learning engineers on model training, evaluation, packaging, and release workflows
• Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system

What success looks like:

• You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production
• ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use
• Model deployments become more secure, observable, and supportable across real-world mission environments
• The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership

Clearance Requirements:

• Ability to obtain and maintain a Top Secret clearance 

Work Type: 

• Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY
• May require up to 40% travel
  

Salary Range: $150,000.00 - $200,000.00

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

Who we are:  

We're transforming one of the world’s oldest industries with cutting-edge technology and an innovative approach. Backed by top-tier investors and recognized by Time as one of the "best Inventions of 2024" and Fast Company as one of 2024's "Next Big Things in Tech", Electra is scaling rapidly, and we're looking for bold, driven individuals to help us reshape the future of iron production. If you're ready to make a real impact in a company that's redefining heavy industry for a cleaner, smarter world, we want to hear from you.

What you will do:  

As a Senior Controls Engineer, you will focus on designing and building data acquisition and process control systems for chemical processing. These systems will integrate instrumentation, controls, plumbing, fluid power, and solids handling to enable novel electromechanical and metallurgical processes for clean iron production.    

Responsibilities include:

• Design, develop, and maintain electrical, instrumentation, and control (EIC) systems for iron-production processes from concept through detailed design, fabrication, commissioning, and handover
• Own the full lifecycle of control system design, including P&IDs, I/O lists, control narratives, instrumentation specifications, electrical schematics, panel layouts, and network architectures 
• Ensure all control systems are efficient, reliable, safe, compliant with applicable codes/standards (e.g., NEC, ISA, IEC), and aligned with site EHS requirements
• Collaborate cross-functionally with process engineering, mechanical systems, operations, and R&D teams to define system requirements and control strategies  
• Lead integration efforts for  new and existing equipment, including PLC/HMI/SCADA system architecture and control strategies  
• Oversee and perform installation, configuration, commissioning, and site acceptance testing (SAT) of control systems 
• Conduct system testing, tuning, loop checks, and validation to ensure optimal and stable process performance
• Identify opportunities for process optimization, advanced control, alarm management, and system reliability improvements
• Program and troubleshoot Siemens S7 PLCs (TIA Portal), Ignition HMI & SCADA, and associated communication networks  
• Develop, maintain, and review electrical design packages in SolidWorks Electrical, including control panel designs, wiring diagrams, and bill of materials 
• Specify and source instrumentation and electrical equipment (sensors, transmitters, motors, drives, MCC components, etc.) to meet process and project requirements  
• Autonomously lead engineering projects or small multi-disciplinary teams, including scheduling, budgeting, technical decision-making, and vendor management  
• Troubleshoot complex electromechanical systems, perform root cause analysis, and execute corrective/preventive actions
• Apply industry-standard safety analysis methodologies such as FMEA, PHA, and HAZOP to effectively manage risks
• Develop and maintain engineering documentation, including control narratives, cause-and-effect matrices, test plans, operating procedures, and safety protocols  
• Read, understand, and comply with all workplace health and safety policies, safe work practices, and company policies and procedures 
• Perform other duties as assigned by supervisor in a rapidly evolving startup environment 

What we need you to bring to the team:   

• Bachelor’s degree in electrical engineering, control systems engineering, automation engineering, or related 
• 8+ years of industry experience working on controls and data acquisition (excludes internships, co-ops, and other school projects)  
• 3+ years of experience with PLC programming, including Ladder Logic and structured text (Siemens preferred)
• Advanced experience with instrumentation such as voltage, amperage, temperature, pressure, level, weight, and flow 
• Strong working knowledge of high- and low-voltage electrical design, electrical troubleshooting, and industrial power distribution
• Proficiency with industrial automation communication protocols such as Modbus, Profibus, Ethernet, RS485, etc.  
• High level programming experience in C/C++/C#, Python, Javascript, or equivalent  
• In-depth knowledge of industrial control system design principles, instrumentation specification, P&IDs, and ISA/IEC standards 
• Experience implementing LOTO procedures, arc-flash boundaries, electrical safe-work practices, and other industrial electrical safety programs 
• Proficiency with Microsoft Office suite of programs including Word, Excel, PowerPoint, Outlook, OneDrive, and SharePoint 

What we would like you to bring to the team:   

• Proficiency with Siemens S7 (TIA portal), Ignition, SolidWorks Electrical, and SQL databases 
• Experience in chemical processing, industrial manufacturing, pilot-plant operations, or continuous/batch process industries
• Experience with control panel design per UL 508A, hazardous area classification, and instrument selection for chemical environments

VSC Fire & Security is seeking candidates for the position of SVP/Regional Manager.

What we offer:

• Competitive salary based on experience.
• Incentive compensation based off of metrics.
• Car Allowance.
• Options for Medical, Dental and Vision insurance for you and your family.
• A 401K plan with a company match.
• PTO and Paid Holidays.
• Opportunities for training and advancement.
• Relevant educational and licensure reimbursement for qualified candidates.
• Health Savings Account (HSA)
• Life Insurance
• Employee Assistance Program

What you need:

• Industry-related work experience with prior management experience in fire protection, life safety or a related field.
• Bachelor’s degree in business, Construction Management, or a related field preferred.
• Strong knowledge of fire protection systems, building codes, and regulatory requirements
• Demonstrated success in P&L management, strategic planning, contract negotiation, and operational oversight.
• Ability to train, coach, and develop managers and employees.
• Strong interpersonal, organizational, and problem-solving skills, with the ability to manage multiple priorities.
• Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint) and business management software.
• NICET III or IV certification preferred.
• Valid driver’s license and ability to travel within the assigned region.
• Ability to conduct site visits and navigate various work environments, including confined spaces, scaffolding, and elevated work areas.
• Must pass a drug test and security screening as required.

What you will do:

• Provide leadership and guidance to Division Managers to ensure strong operational and financial performance. 
• Develop and implement strategies to grow revenue, enhance profitability, and improve service delivery.
• Cultivate relationships with existing and potential clients, ensuring superior customer satisfaction and fostering business expansion.
• Assist Division Managers in securing and negotiating contracts while ensuring competitive pricing and service quality.
• Collaborate with senior leadership to develop and execute regional business plans, aligning with company objectives.
• Oversee profit and loss (P&L) management for the region, ensuring budgetary compliance and cost control.
• Monitor job profitability, work progress, and adherence to contractual commitments through data and reporting metrics.
• Ensure adherence to industry codes, standards, and best practices, including fire protection regulations and local building codes.
• Provide mentorship, training, and development opportunities for Division Managers and their teams.
• Conduct performance evaluations and offer coaching to support career growth and goal achievement.
•  Assist in workforce planning, including hiring, disciplinary action, and employee retention strategies.
• Promote a culture of accountability, professionalism, and continuous improvement within the region.
• Safety & Compliance
• Ensure strict adherence to safety policies and procedures at all levels of operations.
• Promote safety awareness and compliance with training programs, certifications, and industry regulations.
• Work closely with safety officers and leadership to mitigate risks and maintain a safe work environment.
• Travel required: 70%
• May require work beyond regular business hours as well as out of town assignments.

ABOUT THIESS

Thiess, originating in Australia in 1933, is now a $4 billion global organization focusing on sustainable resource solutions, including mining services, land reclamation, and engineering consulting. With 15,000 employees, we are committed to creating lasting value for our clients and leading the way toward a more sustainable future. 

 We are a movement spearheading a journey towards a more sustainable future, and North America is a crucial part of it. Our unique business approach to contract mining currently makes our services available in the United States and Canada. In the US, we operate in Salt Lake City, Utah, Colorado, and the Intermountain West region. In Canada, our services are available in Sudbury, Greater Ontario, and the Northern Ontario region. We are also expanding to other states and areas in both countries. 

Please get to know us better by watching the following videos about Our Purpose and Our Values! 

 ROLE OVERVIEW

The Maintenance Planner supports mining operations by planning and scheduling short- to medium-term maintenance for mobile and/or fixed plant equipment, infrastructure, and facilities. Working in alignment with OEM specifications, the role focuses on improving equipment availability, reducing unplanned downtime, and ensuring maintenance activities are completed safely, efficiently, and within budget. 

KEY RESPONSIBILITIES

Planning and Scheduling

• Produce, review and maintain rolling monthly, quarterly and annual plans as well as equipment specifications, tires and undercarriage tracking files 
• Maintain currency and accuracy of equipment maintenance history, work orders, job records database and technical information on processes, plant and equipment 
• Identify potential work using an effective condition monitoring program and financial package-based work programs and provide guidance and support to the project teams    
• Develop weekly agreed maintenance plans using equipment strategies to facilitate maximum production and minimize downtime and costs to meet plant availability and reliability targets 
• Align other maintenance activities such as defects and breakdown repairs with periodic maintenance and provide updates on a weekly basis 
• Develop a recommended and optimized bill of materials for the various standard jobs employed under the maintenance strategy 

Finance & Commercial

• Ensure that work planned is completed within the allowed budget and resources by cost effective use of resources to maintain and service infrastructure 
• Assist with the procurement and freight of parts and services and ensure full reliability of parts and equipment is retained while stored, only using approved suppliers and hire equipment 
• Maintain accurate and effective costing reporting as well as support documentation and ensure all completed work orders are closed out 
• Effectively use the company’s financial package to produce, review and maintain equipment lists and contracts and raise work orders for all maintenance activities 
• Coordinate warranty claims and ensure warranty forms are lodged with OEMs for components and repairs using approved warranty processes and site documentation 
• Identify project-based opportunities to improve equipment reliability and reduce maintenance costs to increase effectiveness and efficiency by eliminating repetitive, costly or low-value work 

Maintenance & Reliability

• Utilize predictive maintenance processes to raise re-work requests and organize any additional maintenance requirements 
• Ensure all materials, parts, personnel, tools, permits and equipment is available for execution when required by the plan   
• Review and audit mechanical repairs and services to ensure compliance with site maintenance schemes 
• Review and report on planning and scheduling, equipment reliability and maintenance department performance 
• Manage tire life cycle by ensuring tires are maintained and repaired in accordance with company policy and best practices as per the tire management system 

Health, Safety, Environment & Community

• Assist in the implementation and compliance of HSE plans to ensure safe and sustainable mobile plant and ancillary equipment 
• Provide expert advice in all incident investigations to ensure the root causes are identified and that all the required documentation is reported. If applicable, play an active role in implementing corrective actions in consultation with relevant parties 
• Constantly look to identify hazards and risks through regular inspections, audits, and behavioral observations as per HSE targets and take corrective actions where required 

Relationship Management

• Liaise with all internal stakeholders to enhance coordination between the maintenance department, mine leadership, and client groups and minimize interruptions to operations by maintaining strong working relationships with relevant personnel 
• Communicate detailed maintenance plans for scheduled maintenance to maintenance department, mine leadership, and client groups on a weekly basis 
• Coordinate with the offsite maintenance planners to ensure the best business outcomes are achieved 
• Promote prosperous healthy client relationships to network and identify new business opportunities 
• Performs other related duties as assigned 

WHAT YOU'LL BRING

• Minimum of 3 years’ planning experience in fixed or mobile equipment planning, mining maintenance activities and/or equivalent industrial 
• Strong knowledge of fixed plant/mobile maintenance processing and associated maintenance processes in a surface mine operation 
• Understanding of mechanical, electrical, and hydraulic systems within fixed plant or mobile assets 
• Minimum of 5 years’ experience in fixed plant equipment maintenance – crushing, material handling, mill/processing- or mobile maintenance equipment (haul trucks, excavators, drillers, support equipment)  
• Surface mining experience 
• Expertise in predictive and preventative maintenance techniques 
• Experience with resource allocation and optimizing maintenance workforce efficiency 
• Familiar with Office 365, including strong Excel skills and MS Project skills 
• SAP software experience required 
• Use of Cat SIS and other OEM parts manuals 
• Strong written and oral communication skills 
• Ability to work in a team-oriented environment while being self-motivated and proactive 
• Ability to analyze equipment and processing performance data to identify trends and improvement areas 
• Strong organizational and time management skills to prioritize tasks and meet deadlines 
• Valid US Driver’s License 
• Authorization to work lawfully in the USA without sponsorship from Thiess 
• Must be fluent in the English language 

PHYSICAL REQUIREMENTS

• Able to live and work at high altitudes (12,000 ft. elevation) for a week at a time  
• Able to work in extreme winter conditions with temperatures regularly below zero degrees Fahrenheit 
• Work involves walking, standing, and climbing stairs or ladders to access field areas, equipment, and offices throughout the site
• May occasionally require bending, kneeling, or reaching to collect samples, perform inspections, or access workspaces
• Must be able to sit for extended periods while operating a vehicle or working at a computer
• Must maintain sufficient visual acuity and depth perception to operate vehicles and safely navigate active mining or construction environments
•  Work is conducted in both office and outdoor site environments, with potential exposure to noise, dust, vibration, heat, cold, and uneven terrain
• Required to wear personal protective equipment (PPE) such as hard hat, steel-toed boots, safety glasses, gloves, and high-visibility clothing when in designated areas
• Must be physically capable of safely performing the essential duties of the position with or without reasonable accommodation

EDUCATION

• High school diploma, GED, or equivalent required
• Training and/or experience in maintenance management and/or maintenance planning processes preferred
• Vocational training in mechanics, engineering, or related field preferred

WHAT WE OFFER

• Culture: Work within a values-driven organization that prioritizes safety, discovery, accountability, respect, and empowerment
• Allowances: Site allowances, including accommodation, meals, and travel considerations
• Benefits: Comprehensive benefits package including medical, dental, and vision coverage, life insurance, and participation in 401k plan with company matching. Medical benefits include private health insurance with premium coverage for the employees and competitively subsidized private health insurance for immediate family 
• Wellbeing: Employee Assistance Program (EAP). 
• 401K retirement savings benefit with employer matching contributions  
• Development: Access to ongoing learning, development, and career advancement opportunities within Thiess’ global network
• PTO, Paid Holidays  

ADDITIONAL INFORMATION 

• At Thiess we have a One HSE culture and want to ensure everyone is safe every day: employees, families and society. We are committed to our employees' health and wellness including the prevention of illness Although optional, we have a preference that all Thiess employees are vaccinated against COVID-19 and other serious illnesses
• Roster & Schedule: This role follows a ​Monday-Friday​ schedule. Additional hours may be required to meet business needs 
  • One week onsite (M-TH) One week remote (M-TH) 
• Pay Range: $110,000-$130,000 USD Annual salary (DOE)  + discretionary annual bonus
• Travel: This role requires approximately 50% travel to project sites. Travel frequency may vary by business needs   

LEGAL DISCLAIMER

ABOUT THIESS

Thiess, originating in Australia in 1933, is now a $4 billion global organization focusing on sustainable resource solutions, including mining services, land reclamation, and engineering consulting. With 12,000 employees, we are committed to creating lasting value for our clients and leading the way toward a more sustainable future.

We are a movement spearheading a journey towards a more sustainable future, and North America is a crucial part of it. Our unique business approach to contract mining currently makes our services available in the United States and Canada. In the US, we operate in Salt Lake City, Utah, Colorado, and the Intermountain West region. In Canada, our services are available in Sudbury, Greater Ontario, and the Northern Ontario region. We are also expanding to other states and areas in both countries.

Please get to know us better by watching the following videos about Our Purpose and Our Values!

ROLE OVERVIEW

The Maintenance Planner plays a critical role in supporting mining operations by planning and scheduling short-to-medium term maintenance for mobile equipment. Working in alignment with OEM specifications, this role is focused on improving equipment availability, reducing unplanned downtime, and ensuring all maintenance activities are executed safely, efficiently, and within budget.

KEY RESPONSIBILITIES

Planning & Scheduling

• Produce, review and maintain rolling monthly, quarterly and annual plans as well as equipment specifications, tires and undercarriage tracking files 
• Maintain currency and accuracy of equipment maintenance history, work orders, job records database and technical information on processes, plant and equipment 
• Identify potential work using an effective condition monitoring program and financial package-based work programs and provide guidance and support to the project teams    
• Develop weekly agreed maintenance plans using equipment strategies to facilitate maximum production and minimize downtime and costs to meet plant availability and reliability targets 
• Align other maintenance activities such as defects and breakdown repairs with periodic maintenance and provide updates on a weekly basis 
• Develop a recommended and optimized bill of materials for the various standard jobs employed under the maintenance strategy 

Finance and Commercial

• Ensure that work planned is completed within the allowed budget and resources by cost effective use of resources to maintain and service infrastructure 
• Assist with the procurement and freight of parts and services and ensure full reliability of parts and equipment is retained while stored, only using approved suppliers and hire equipment 
• Maintain accurate and effective costing reporting as well as support documentation and ensure all completed work orders are closed out 
• Effectively use the company’s financial package to produce, review and maintain equipment lists and contracts and raise work orders for all maintenance activities 
•  Coordinate warranty claims and ensure warranty forms are lodged with OEMs for components and repairs using approved warranty processes and site documentation 
• Identify project-based opportunities to improve equipment reliability and reduce maintenance costs to increase effectiveness and efficiency by eliminating repetitive, costly or low-value work 

Maintenance & Reliability

• Utilize predictive maintenance processes to raise re-work requests and organize any additional maintenance requirements 
• Ensure all materials, parts, personnel, tools, permits and equipment is available for execution when required by the plan   
• Review and audit mechanical repairs and services to ensure compliance with site maintenance schemes 
• Review and report on planning and scheduling, equipment reliability and maintenance department performance 
• Manage tire life cycle by ensuring tires are maintained and repaired in accordance with company policy and best practices as per the tire management system 

Health, Safety, Environment and Community

• Assist in the implementation and compliance of HSE plans to ensure safe and sustainable mobile plant and ancillary equipment 
• Provide expert advice in all incident investigations to ensure the root causes are identified and that all the required documentation is reported. If applicable, play an active role in implementing corrective actions in consultation with relevant parties 
• Constantly look to identify hazards and risks through regular inspections, audits, and behavioral observations as per HSE targets and take corrective actions where required 

Relationship Management

• Liaise with all internal stakeholders to enhance coordination between the maintenance department, mine leadership, and client groups and minimize interruptions to operations by maintaining strong working relationships with relevant personnel 
• Communicate detailed maintenance plans for scheduled maintenance to maintenance department, mine leadership, and client groups on a weekly basis 
• Coordinate with the offsite maintenance planners to ensure the best business outcomes are achieved 
• Promote prosperous healthy client relationships to network and identify new business opportunities 
• Performs other related duties as assigned 

WHAT YOU'LL BRING

• Minimum of 3 years’ planning experience in mobile equipment planning, mining maintenance activities and/or equivalent industrial 
• Minimum of 5 years’ experience in mobile maintenance equipment (haul trucks, excavators, drillers, support equipment)  
• Understanding of mechanical, electrical, and hydraulic systems on mobile assets 
• Surface mining experience 
• Expertise in predictive and preventative maintenance techniques 
• Experience with resource allocation and optimizing maintenance workforce efficiency 
• Familiar with Office 365, including strong Excel skills and MS Project skills 
• SAP software experience required 
• Use of Cat SIS and other OEM parts manuals 
• Strong written and oral communication skills 
• Ability to work in a team-oriented environment while being self-motivated and proactive 
• Ability to analyze equipment and processing performance data to identify trends and improvement areas 
• Strong organizational and time management skills to prioritize tasks and meet deadlines 
• Valid US Driver’s License 
• Authorization to work lawfully in the USA without sponsorship from Thiess 
• Must be fluent in the English language 

PHYSICAL REQUIREMENTS

• Work involves walking, standing, and climbing stairs or ladders to access field areas, equipment, and offices throughout the site
• May occasionally require bending, kneeling, or reaching to collect samples, perform inspections, or access workspaces
• Must be able to sit for extended periods while operating a vehicle or working at a computer
• Must maintain sufficient visual acuity and depth perception to operate vehicles and safely navigate active mining or construction environments
•  Work is conducted in both office and outdoor site environments, with potential exposure to noise, dust, vibration, heat, cold, and uneven terrain
• Required to wear personal protective equipment (PPE) such as hard hat, steel-toed boots, safety glasses, gloves, and high-visibility clothing when in designated areas
• Must be physically capable of safely performing the essential duties of the position with or without reasonable accommodation

EDUCATION 

• High school diploma, GED, or equivalent required
• Training and/or experience in maintenance management and/or maintenance planning processes preferred
• Vocational training in mechanics, engineering, or related field preferred

WHAT WE OFFER

• Culture: Work within a values-driven organization that prioritizes safety, discovery, accountability, respect, and empowerment
• Allowances: Site allowances, including accommodation, meals, and travel considerations
• Benefits: Comprehensive benefits package including medical, dental, and vision coverage, life insurance, and participation in 401k plan with company matching. Medical benefits include private health insurance with premium coverage for the employees and competitively subsidized private health insurance for immediate family 
• Wellbeing: Employee Assistance Program (EAP). 
• 401K retirement savings benefit with employer matching contributions  
• Development: Access to ongoing learning, development, and career advancement opportunities within Thiess’ global network
• PTO, Paid Holidays  

ADDITIONAL INFORMATION 

• At Thiess we have a One HSE culture and want to ensure everyone is safe every day: employees, families and society. We are committed to our employees' health and wellness including the prevention of illness Although optional, we have a preference that all Thiess employees are vaccinated against COVID-19 and other serious illnesses
• Roster & Schedule: This role follows a ​Monday-Friday​ schedule. Additional hours may be required to meet business needs 
  • One week onsite (M-TH) One week remote (M-TH) 
• Pay Range: $110,000-$130,000 USD Annual salary (DOE)  + discretionary annual bonus
• Travel: This role requires approximately 50% travel to project sites. Travel frequency may vary by business needs 

LEGAL DISCLAIMER

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it. 

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. 

You will be one of the engineers who makes that real. 

What You Will Work On  

Autonomous Operations: 

• Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations
• Drive elimination of manual processes. If a human is doing it repeatedly, automate it.
• Build space situational awareness systems so the fleet always knows its own state
• Develop operational automation for mission execution at scale

Telemetry and Data Platform: 

• Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets
• Build analytics and visualization tools that surface operational insight and not just raw data
• Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance
• Work directly with data at every layer from pipeline design to query

Reliability Engineering: 

• Define and instrument SLOs and reliability metrics for space and ground assets
• Build monitoring and alerting systems that know what matters and ruthlessly suppress noise
• Own configuration control and software rollout processes for on-orbit and ground assets

Mission Software: 

• Build real-time dashboards and operator tooling that make mission status immediately legible
• Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions
• Design systems for automated mission execution including planning, scheduling, and commanding at scale

Basic Qualifications

• 5+ years of professional software engineering, SRE, or DevOps experience
• Strong Python skills across backend services, data pipelines, and automation. Not just scripts.
• Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query
• Solid Linux fundamentals including bash scripting and basic system administration
• Experience with containerized development and production environments
• The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software

Preferred Qualifications

• Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
• Hands-on experience with Databricks or modern data Lakehouse tooling
• Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
• Infrastructure as Code experience with tools such as Terraform or Ansible
• ML or AI applications in an operational or monitoring context
• Experience with Python data visualization libraries

Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-MK1

**This position is fully on-site in Colorado Springs at Peterson SFB - ACTIVE Secret Clearance minimum REQUIRED 

JOB SUMMARY:

The Software Engineer II will design, develop and maintain mission-critical software in support of missile warning systems. Develops and maintains complex engineering computer programs, and performs coding, testing, installing, and maintaining of engineering computer programs having features including multiplicity of function, critical constraints, and elaborate input/output. This position is 100% on-site and requires hands-on collaboration with cross-functional teams in a secure environment. 

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Develop, create, modify, operate, integrate, test and maintain software systems or platforms
• Write and maintain unit tests to ensure code quality and reliability
• Containerize existing codebases using Docker and other container technologies
• Analyze user needs and develop software solutions
• Ensure security of software and systems
• Work with Agile teams in high-level design, development, implementation, integration and verification of software components
• Attend and Participate in Periodic Large Scale Agile Planning events, as well as standard Agile meetings (Sprint Planning, Daily Stand-ups, Backlog Grooming, Sprint Reviews and Retrospectives)
• Develop computer program documentation and operational procedures
• Provide diagnostic support to correct processing anomalies in complex computer programs
• Assist in the preparation of specifications and other activities that require knowledge of programming principles and techniques
• Interpret requirements and performs analysis to ensure that objectives are met
• Support other duties as assigned 

QUALIFICATIONS 

• 4+ years of relevant experience in software engineering 

• Strong experience & Java skills REQUIRED
• C++ preferred
• Experience with unit testing frameworks such as JUnit, Google Test, or similar
• Experience containerizing applications using Docker required (Kubernetes experience a plus)
• Hands-on experience with CI/CD tools such as Jenkins, Atlassian Bamboo, GitLab CI, or GitHub Actions
• This role is 100% on-site and requires daily presence at the designated facility
• Wide breadth of expertise in development languages, tools and environments in the design and development of software-centric solutions
• Producing design documentation and as-built documentation with little or no assistance 

• Other duties as assigned 

SECURITY CLEARANCE: Minimum Active Secret Security Clearance required – Top Secret is preferred

EDUCATION & CERTIFICATIONS: Bachelor’s Degree Required

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This Director will lead that transformation. You will set the technical vision, define the architecture, build and inspire the team, and personally raise the standard for what modern space operations look like. 

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. 

What This Role Is Not: 

This is not a role for someone who wants to graduate out of technical work. If your ideal week is back-to-back 1:1s, sprint ceremonies, and stakeholder syncs, this is not the right fit. We need a director who writes code, reviews architecture, challenges technical decisions, and earns the team's respect through demonstrated craft and not just tenure or title. 

What You Will Work On: 

Technical Leadership 

• Define and own the technical roadmap for autonomous constellation operations
• Set the architectural direction for the data platform, reliability systems, and automation infrastructure
• Stay hands-on: review code, prototype solutions, and get into the details when it matters
• Establish engineering standards across code quality, system design, testing, and observability, and hold the team to them
• Be the person engineers come to when the problem is genuinely hard

Team Building & Culture 

• Recruit, develop, and retain a team of 6 to 10 world-class reliability and platform engineers
• Set the pace, tone, and ambition for the team and make being on it feel like a privilege
• Create an environment where engineers grow fast, own their work, and ship things they are proud of
• Identify gaps and level up engineers through mentorship and not just management

Operational Transformation 

• Lead the shift from manual, operator-driven processes to fully automated and self-healing operations
• Define and drive toward SLOs, error budgets, and reliability targets for the constellation
• Partner with satellite operations and mission teams to translate pain into software solutions

Cross-Functional Influence 

• Be the technical voice of the team in company-wide conversations about architecture, infrastructure, and platform strategy
• Influence how Spire thinks about automation, data, and AI/ML across the broader engineering organization

Basic Qualifications: 

• 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual contributor role
• Demonstrated track record building and shipping reliable production systems at scale. You have owned things that could not go down.
• Deep technical credibility. Engineers on your teams have respected your judgment and not just your title.
• Experience with SRE principles, reliability engineering, or large-scale automation. You have reduced toil systematically and not just complained about it.
• Strong foundation in Python, distributed systems, data platforms, and cloud infrastructure
• Experience hiring and developing engineers. You know what great looks like and how to find it.
• The communication and influence skills to drive technical decisions across teams you do not directly control

Preferred Qualifications: 

• Experience applying AI/ML or advanced analytics to operational or monitoring problems
• Experience writing performance software in Rust
• Background in space systems, aerospace, or highly constrained real-time environments
• Experience building data lakes, telemetry platforms, or observability infrastructure at scale
• A history of leading teams through technical transformations and not just maintaining the status quo

Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-MK1

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 Staff 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 seasoned consultant 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

• 3-7 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 Denver 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 Denver base salary range for this role is $160,000 - $200,000.