Location: Palo Alto, California, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
:
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend practical serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and
VLM
endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and
NVIDIA
Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches,
KV
-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring for
TTFT
,
TPOT
, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
:
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM,
VLM
, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server,
NVIDIA
Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving
KV
cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice
-
to
-
have
s
:
Experience with quantization-aware training, post-training quantization,
FP8
,
INT8
,
INT4
,
NVFP4
,
MXFP4
,
AWQ
,
GPTQ
, SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA
or Triton; the role does not require kernel engineering to be the candidate's primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
#LI-BH3
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$195,200
—
$262,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Palo Alto, California, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on.
Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production.
Your responsibilities
:
Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff.
Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization.
Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components.
Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost.
Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices.
Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets.
Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact.
Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs.
Must-haves
:
A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline.
A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas.
Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes.
Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs.
Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis.
Excellent written and verbal communication.
Nice
-
to
-
have
s
:
First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA.
Experience deploying ML models or inference optimizations in production.
Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals.
Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency.
Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems.
Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$195,200
—
$262,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Global Anywhere
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
As a Senior Software Engineer on the Platform team, you will build and own the frameworks, tooling, and CI/CD infrastructure that let Alpaca’s engineers ship new features quickly and reliably. This is a software engineering role at its core: you will spend most of your time writing Go, designing automated test frameworks, and digging into application code and Kubernetes when needed. Just as importantly, you will help redefine how we use AI to raise the bar on quality - leveraging LLMs and AI-driven tooling to generate tests, catch regressions before they ship, and turn every incident into durable, automated coverage. We are looking for engineers who treat quality as an engineering discipline and see AI as a force multiplier for it - people who build the systems that make testing fast, reliable, and effortless for the teams that depend on them.
Things You Get To Do
Design and build automated test frameworks across our REST and gRPC API surface.
Leverage AI and LLM-based tooling to accelerate test generation, harden regression coverage, and turn production incidents into automated tests - embedding these practices into the frameworks the whole engineering org relies on.
Build and maintain CI/CD pipelines - we use a mix of GitHub Actions and Google Cloud Build.
Design and execute load, stress, and scalability tests to ensure our platform can handle growing demand.
Introduce chaos engineering practices - designing fault-injection and resilience experiments that surface failure modes before our customers do.
Standardize tooling and infrastructure to improve the day-to-day developer experience.
Partner with other teams to raise test coverage, reliability, and speed across services.
Dig into application code to root-cause failures and drive fixes to completion.
Mentor and guide product engineers, fostering a culture of quality and continuous improvement.
Who You Are (Must-Haves)
You have 5+ years of experience as a software engineer building and maintaining production systems.
You have written code in strongly typed languages and have at least 1 year of experience with Go.
You are fluent with AI-assisted engineering - you actively use LLM-based tools in your workflow and have a clear point of view on where they elevate quality (and where they don’t).
You have built and maintained CI pipelines before - ideally with GitHub Actions or Google Cloud Build.
You have designed and built automated test frameworks, and you understand the challenges microservices pose for reliable integration and end-to-end testing.
You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this.
You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand.
You are not afraid of taking a task from start to finish - gathering requirements, figuring out and implementing the best technical solution, then deploying and monitoring the results.
Who You Might Be (Bonus Points)
You have used AI/LLM tooling to build QA automation - test generation, flaky-test triage, or incident-to-regression pipelines - and can speak to what worked and what didn’t.
You have written code in Python or TypeScript, and can build efficient Dockerfiles and secure container images.
You have implemented load tests with k6 (REST) and ghz (gRPC) and have experience analyzing pprof/trace output.
You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before.
You have practiced chaos engineering - running fault-injection or resilience experiments with tools like Chaos Mesh, LitmusChaos, or Gremlin.
You are familiar with testing event-driven systems using Kafka (or even better, Redpanda).
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: Remote - USA
At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.
We are looking for an experienced Site Reliability and Infrastructure Engineer to join our engineering team. You will support Counterpart Health’s existing technology infrastructure by reviewing and improving processes, developing automation tools to eliminate toil, and troubleshooting issues as they arise. You will collaborate with technical leads across engineering disciplines, as well as data scientists and technology professionals, to develop and maintain a modern, scalable infrastructure platform that supports domestic and international workloads across various compute, storage, and networking needs. We are seeking someone with prior experience deploying and maintaining containerized infrastructure and workloads. Kubernetes competency is highly valued.
As a Senior Site Reliability Engineer, you will:
Build systems for declarative application and infrastructure lifecycle management, including continuous deployment, continuous integration, Kubernetes cluster management, and service/workload inventory.
Prioritize and troubleshoot infrastructure issues, minimizing downtime and responding to alerts efficiently.
Contribute to setting the direction of the Site Reliability Engineering (SRE) team, ensuring goals align with Counterpart Health’s company-wide objectives.
Foster a collaborative, high-performance culture that promotes motivation, innovation, and cross-disciplinary teamwork.
Streamline and automate infrastructure processes, including delivery pipelines and database changes.
You should get in touch if:
You have 5+ years of programming experience and are proficient in at least one of the following languages: Python, Go, or Shell Scripting.
You have in-depth knowledge of containerization technologies and orchestration, such as Docker, Containerd, and Kubernetes, along with experience with CNCF-based technologies like Helm, gRPC, and Prometheus.
You have experience with public cloud platforms such as GCP, Azure, or AWS.
You are knowledgeable in networking fundamentals, including TCP/IP, UDP, firewalls, routing, DNS, and load balancing.
You have experience with Linux system administration and a solid understanding of Linux design principles.
You understand key SRE concepts, such as monitoring, performance tuning, and automation.
You can work autonomously with limited guidance, proactively identifying and solving problems.
You have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and adapt to new challenges and evolving technologies.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Counterpart Health:
In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$160,000
—
$208,000 USD
Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia
We are looking for a Senior Data Designer who can operate as the bridge between business stakeholders and engineering — someone equally comfortable running a requirements workshop and designing a Kimball-style dimensional model. This is not a pure modelling role: you'll investigate source systems, challenge and shape business requirements before any design work starts, and turn that understanding into governed, well-documented data platform designs that engineering teams can implement. You will contribute to data ingestion design, transformation logic, and data harmonization while working closely with stakeholders and platform teams.
This project focuses on building and enhancing an enterprise data warehouse platform that supports data driven decision making across complex business domains. The work involves designing scalable data models, ingestion pipelines, and transformation logic to ensure high quality and consistent data.
Design and document Enterprise Data Warehouse objects: data models, source-to-target mappings, model diagrams, and supporting design documentation that engineers deliver from
Work with stakeholders and source-system SMEs to onboard new data sources and adapt designs to what each source provides
Clarify the intent behind requirements before designing: why the stakeholder needs it and whether existing structures already cover it
Profile and analyze source data to validate design assumptions
Define data quality rules as part of designs for downstream teams to implement
Investigate reported data issues, identify root causes, and propose design-level fixes
Take designs through peer and design review; give and take constructive challenge
Keep stakeholders informed: raise issues early, ask instead of assuming, follow up until unblocked
Strong practical foundations of dimensional modeling — able to design warehouse models from raw source data and explain the reasoning behind design choices
Hands-on experience producing source-to-target mapping documentation
Working understanding of data platform layering and data load approaches
Confident SQL for data profiling and validation
Strong written and spoken English; comfortable gathering requirements and managing stakeholder expectations
Attention to detail; comfortable working in a governed environment with reviews and design standards, and data privacy/PII classification requirements
SAP as a source system
Retail domain experience
Agile delivery experience
Location: Lomira, WI
Scheduler
Location:
Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations)
Employment Type:
Full-Time
Work Environment:
Primarily Site-Based (Long-Term Project Assignments)
Drive the Planning Behind World-Class Mission-Critical Projects
The successful delivery of hyperscale data centers and mission-critical infrastructure depends on exceptional planning, coordination, forecasting, and execution.
From greenfield site development and utility installation through commissioning and final turnover, project schedules serve as the roadmap that aligns engineering, procurement, construction, logistics, quality, commissioning, and customer expectations.
As a
Scheduler
, you will play a critical role in developing and maintaining the integrated schedules that drive some of North America's largest and most complex hyperscale data center developments. Your efforts will help project teams identify risks, evaluate alternatives, establish priorities, and make informed decisions that support successful project delivery.
About Michels Infrastructure Solutions
Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a
Super General Contractor (Super GC)
model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution.
By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost.
MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects.
Position Overview
As a
Scheduler
, you will be responsible for developing, maintaining, and analyzing integrated project schedules supporting large-scale hyperscale data center and mission-critical infrastructure projects.
During the early phases of project development, you will support planning efforts associated with site development, mass grading, underground utilities, telecommunications infrastructure, structural concrete, power infrastructure, procurement planning, and construction mobilization activities. As projects advance, you will help manage schedule development, progress measurement, forecasting, execution planning, recovery planning, commissioning milestones, and turnover readiness activities.
This role serves as a critical partner to Project Management, Construction Management, Project Controls, Procurement, Engineering, Field Operations, Subcontractors, and Customers. You will help ensure project schedules accurately reflect project strategy, execution plans, resource requirements, procurement milestones, and project risks.
Success requires strong analytical skills, construction knowledge, planning expertise, communication abilities, and the ability to transform complex project information into actionable execution strategies.
Key Responsibilities
Develop, maintain, and update project schedules from preconstruction through project closeout.
Build and manage baseline schedules, milestone schedules, resource-loaded schedules, recovery schedules, commissioning schedules, and turnover schedules.
Develop integrated schedules supporting engineering, procurement, construction, logistics, commissioning, and turnover activities.
Coordinate schedule development with Project Managers, Construction Managers, Superintendents, Project Controls personnel, Procurement teams, Engineers, and Subcontractors.
Analyze schedule performance and identify risks, constraints, delays, float erosion, and recovery opportunities.
Support forecasting and reporting activities by providing schedule analysis and project progress updates.
Assist project teams with schedule-driven decision making, sequencing strategies, and execution planning.
Support schedule governance, scheduling standards, and project-planning best practices.
What You'll Do
Develop and maintain detailed project schedules supporting hyperscale data center and mission-critical infrastructure projects.
Establish project logic, sequencing, critical paths, milestones, resource plans, and schedule assumptions.
Support planning activities associated with site development, earthwork, underground utilities, telecommunications infrastructure, structural concrete, power infrastructure, commissioning, and project turnover.
Collaborate with project teams to validate execution strategies, manpower assumptions, procurement activities, construction sequencing, and commissioning requirements.
Perform schedule updates using field-progress reporting, procurement-status updates, engineering deliverables, commissioning activities, and construction-progress data.
Conduct critical-path analysis and evaluate schedule impacts resulting from design revisions, procurement delays, utility conflicts, weather events, productivity impacts, change orders, and owner-directed modifications.
Facilitate schedule-review meetings, pull-planning sessions, look-ahead planning meetings, risk reviews, and recovery-planning workshops.
Develop schedule-recovery plans and alternative execution strategies when project milestones are threatened.
Prepare schedule reports, executive summaries, milestone updates, performance dashboards, and schedule-risk evaluations.
Assist with project pursuits and preconstruction efforts by developing conceptual schedules, logistics assumptions, phasing plans, and execution strategies.
Support procurement planning by integrating long-lead equipment and material milestones into project schedules.
Support commissioning and turnover planning activities to ensure successful project transitions.
Identify opportunities to improve schedule reliability, forecasting accuracy, production planning, and project-execution performance.
Leadership & Project Support
Partner with project teams to establish realistic and achievable project schedules.
Promote schedule awareness and accountability throughout project teams.
Support project leaders by identifying risks, opportunities, and execution challenges before they affect project milestones.
Help establish planning standards, scheduling best practices, and continuous-improvement initiatives.
Facilitate collaboration between project stakeholders to improve schedule certainty and execution performance.
Why Michels Infrastructure Solutions, Inc.?
We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects.
We leverage a unique Super GC delivery model that combines specialty construction capabilities under a single-source execution approach.
We provide exposure to every phase of project delivery, from greenfield site development and procurement through commissioning and turnover.
We provide opportunities to influence project strategy and execution through planning, forecasting, and schedule leadership.
We are family owned and operated.
We invest an average of
$5,000 per employee per year
in training and career development.
We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth.
We believe everyone is responsible for promoting safety, regardless of job title.
We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors.
We offer opportunities for long-term growth across scheduling, project controls, project management, operations, and leadership.
Comprehensive Benefits Package
Health Insurance
Dental Insurance
Life Insurance
Flexible Spending Accounts (FSA)
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
401(k) Retirement Plan
Legal Plan
Identity Theft Protection and Monitoring Plan
Benefits may vary based on position and location.
Why You?
You like to surround yourself with dedicated, value-driven people.
You relish new challenges and evolving technology.
You cringe when you hear: “Because that's the way we've always done it.”
You enjoy solving complex planning, sequencing, and execution challenges.
You thrive in environments where organization, communication, accountability, and foresight drive success.
You enjoy transforming project data into meaningful execution strategies.
You enjoy identifying schedule risks before they become project problems.
You are motivated by ownership, continuous improvement, and helping teams achieve successful project outcomes.
You want your efforts noticed and your results to make a meaningful impact.
You want to work to make a difference.
What It Takes
Bachelor's degree in Construction Management, Engineering, Project Management, Business, or a related discipline and
3+ years of scheduling, project controls, construction management, engineering, field operations, or related experience
, or an equivalent combination of education and experience.
Experience developing or maintaining schedules for mission-critical, data center, EPC, power, industrial, infrastructure, utility, heavy civil, or large-scale construction projects.
Strong understanding of construction sequencing, site-development activities, procurement workflows, commissioning processes, resource planning, critical-path scheduling, and project-execution methodologies.
Experience developing baseline schedules, schedule updates, look-ahead schedules, recovery schedules, and schedule-risk assessments.
Ability to perform schedule analysis, critical-path analysis, forecasting activities, progress validation, earned-value support, and schedule-impact evaluations.
Experience supporting major earthwork, underground utility, telecommunications, industrial, power, EPC, infrastructure, or mission-critical construction projects preferred.
Experience collaborating with Project Management, Construction Operations, Project Controls, Engineering, Procurement, Field Operations, Subcontractors, and Customers.
Proficiency with
Primavera P6
is strongly preferred.
Experience with Microsoft Project, Power BI, Procore, Autodesk Construction Cloud, Oracle Primavera, InEight, Acumen Fuse, or similar scheduling and planning platforms preferred.
Planning & Scheduling Professional (PSP), PMI-SP, PMP, or related certifications are preferred but not required.
Strong analytical, organizational, communication, presentation, facilitation, and problem-solving skills.
Ability to manage multiple projects and priorities simultaneously while maintaining a high degree of accuracy.
Valid driver's license with an acceptable driving record.
Ability to support long-term, site-based assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily project-based, with significant interaction occurring directly with field operations and project leadership. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards.
Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc.—where you don't just build projects, you build a career.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Remote; Serbia; Poland
Workplace: Remote
We are looking for a Senior Penetration Tester to strengthen the security of high-load products by identifying vulnerabilities across applications, infrastructure, cloud environments, and payment flows. In this role, you will work closely with engineering, product, fraud, and compliance teams to improve security posture through offensive security assessments and practical remediation.
Responsibilities:
- Plan and execute penetration testing activities across web applications, APIs, mobile applications, internal and external infrastructure, and AWS cloud environments
- Perform offensive security exercises, including red team and assumed-breach scenarios covering privilege escalation, lateral movement, persistence, and data exfiltration
- Assess the security of cloud-native services, Kubernetes environments, microservices, and CI/CD pipelines
- Identify vulnerabilities affecting payment systems, wallets, KYC/AML processes, bonus mechanisms, affiliate tracking, and other business-critical workflows
- Work with Product, Engineering, AppSec, Payments, and Fraud teams to prioritize findings and support remediation efforts
- Develop custom scripts and internal tools to improve testing capabilities where standard solutions are insufficient
- Contribute to threat modeling activities and support secure-by-design initiatives
- Review penetration testing plans, reports, and provide technical guidance to junior and middle security specialists
- Research emerging vulnerabilities, MITRE ATT&CK techniques, security advisories, and translate them into actionable improvements
- Support security assessments for new products, releases, and market launches, including effort estimation and pre-certification activities
- Act as a security advisor for technical and business stakeholders on offensive security matters
Requirements:
- 4+ years of hands-on experience in penetration testing or offensive security
- Proven practical experience in at least three of the following areas:
- Web applications / APIs
- Internal networks
- External infrastructure
- Cloud environments (AWS/GCP)
- Mobile applications (iOS/Android)
- OSCP or an equivalent offensive security certification
- Strong knowledge of SAST, SCA, DAST, AWS/GCP, MITRE ATT&CK, OWASP ASVS, OWASP WSTG, and PTES
- Good understanding of application architecture, including MVC and data flow principles
- Knowledge of supply chain attack techniques
- Experience writing scripts in Python and Bash
- Understanding of IAM models within at least one major cloud provider
- Hands-on experience testing Kubernetes-based environments, cloud-native applications, CI/CD pipelines (GitLab, GitHub Actions, Jenkins) and Infrastructure as Code solutions (Terraform, Helm, CloudFormation)
- Strong reporting, documentation, and communication skills
- Ability to balance security priorities with business and release deadlines
- Solid understanding of security frameworks and compliance standards, including PCI DSS, ISO 27001, NIST, and GDPR
- At least Upper-Intermediate level of English
Would be a plus:
- Advanced offensive security certifications such as OSWE, OSEP, OSED, CRTO, BSCP, ARTE, or GRTE
- Experience designing secure architectures for Kubernetes and AWS environments
- Previous background in iGaming, fintech, or payment products
- Public security research, CVEs, advisories, technical publications, or conference presentations
- Completion of HTB Pro Labs or strong CTF achievements
- Contributions to open-source offensive or defensive security projects
What's in it for you:
- Fully remote working format
- Competitive salary based on experience
- Paid annual leave and sick leave
- Opportunities for professional and career growth
- Supportive environment focused on continuous development and long-term growth
Location: Nicaragua; Mexico; Colombia; Venezuela, Bolivarian Republic of; Brazil
We are seeking an experienced Roof & Floor Truss Designer to support the design and production of wood truss systems for residential, multifamily, and commercial projects across the United States.
The ideal candidate will have direct experience using TrueBuild by Eagle Metal and a strong understanding of U.S. wood-frame construction, truss engineering workflows, and component manufacturing. This role will be responsible for reviewing architectural and structural drawings and converting them into accurate placement plans, truss layouts, and individual truss profiles ready for engineering review, sealing, and production.
Responsibilities
Review architectural and structural plans for U.S.-based projects.
Develop roof and floor truss placement plans.
Create individual truss profiles and production-ready design packages.
Design and optimize wood trusses using TrueBuild by Eagle Metal.
Apply project-specific loads, spans, bearing conditions, and structural requirements.
Coordinate truss layouts with walls, beams, mechanical openings, and other building components.
Identify conflicts, missing information, and constructability concerns.
Prepare designs for engineering review, sealing, and fabrication.
Revise truss packages based on engineer, client, or production feedback.
Maintain accuracy, consistency, and compliance with applicable U.S. building codes and industry standards.
Communicate clearly with project managers, engineers, estimators, and production teams.
Requirements
Required Qualifications
Proven experience designing roof and floor truss systems.
Hands-on experience with TrueBuild by Eagle Metal (mandatory)
Experience working on projects for the U.S. market.
Ability to interpret architectural and structural construction documents.
Experience preparing truss layouts, placement plans, and individual truss profiles.
Strong knowledge of wood-frame construction and truss component manufacturing.
Familiarity with U.S. building codes and truss design standards.
Strong attention to detail and ability to identify design conflicts.
Ability to work independently and manage multiple active projects.
Professional English communication skills.
Availability to collaborate during U.S. business hours.
Software
TrueBuild by Eagle Metal – Required
AutoCAD – Preferred
MiTek, Alpine IntelliVIEW, or similar truss-design software – Preferred
Preferred Qualifications
Experience with residential, multifamily, or light commercial projects.
Familiarity with MiTek, Alpine IntelliVIEW, or other truss-design platforms.
Knowledge of ANSI/TPI 1, IRC, and IBC requirements.
Experience coordinating directly with U.S. engineers, builders, architects, or component manufacturers.
Previous remote experience with a U.S.-based company.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Costa Mesa, United States
WHAT YOU’LL DO:
Utilize first principle methods and design tools to develop new aircraft products
Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience
5+ years of experience in aerospace or related industry
Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies
Proven ability to design high performance structures and execute their fabrication
Self-directed, results oriented, and capable of working in a dynamic environment
Excellent time management, organizational, and communication skills
Ability to obtain and maintain US DoD Secret Clearance or higher
PREFERRED QUALIFICATIONS
Experience with clean sheet aircraft configuration
Experience with high temperature materials
Experience with thermal gradient structural analysis
Siemens NX proficiency
Experience with fast paced prototype design and manufacture of uncrewed aircraft
Experience with high temperature materials selection
Prior experience working in high speed programs
Hands-on experience with manufacturing
Practical aircraft knowledge (pilots license, A&P, etc.)
Location: Costa Mesa, United States
Our Client is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Our client is changing how military systems are designed, built and sold. The family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, they are committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
The
Air Dominance and Strike Aerostructures Engineering Team
is responsible for designing and analyzing advanced structural parts for Group 5 air vehicles and missile platforms. Air Dominance and Strike Structures Engineers own the full development lifecycle, from conceptual to detailed design and analysis of primary and secondary structures ensuring high-performance, resilient, and scalable mechanical systems that meet the demands of complex, contested environments.
WHAT YOU’LL DO:
Utilize first principle methods and design tools to develop new aircraft products
Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience
5+ years of experience in aerospace or related industry
Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies
Proven ability to design high performance structures and execute their fabrication
Self-directed, results oriented, and capable of working in a dynamic environment
Excellent time management, organizational, and communication skills
Ability to obtain and maintain US DoD Secret Clearance or higher
PREFERRED QUALIFICATIONS
Experience with clean sheet aircraft configuration
Siemens NX proficiency
Experience with fast paced prototype design and manufacture of uncrewed aircraft
Experience with high temperature materials selection
Broad experience across a range of aircraft programs
Hands-on experience with manufacturing
Practical aircraft knowledge (pilots license, A&P, etc.)
Location: Costa Mesa, United States
ABOUT THE TEAM
The
Air Dominance and Strike (AD&S) Electrical Engineering Team
is responsible for developing high-reliability avionics, embedded processing, and power systems for Group 5 air vehicles and missile platforms. Working across hardware, software, and mission autonomy, the team delivers flight-critical electronics, PCB assemblies, and FPGA-based processing architectures that enable our client's next-generation autonomous air platforms to operate in complex and contested environments. AD&S Electrical Engineers drive end-to-end development, from system architecture and circuit design to verification, integration, and flight test, ensuring scalable, mission-ready solutions that meet the performance, reliability, and survivability demands of the U.S. Military and modern air warfare.
ABOUT THE JOB
We are looking for an
Avionics Engineer
to join our rapidly growing team in
Costa Mesa, CA
. In this role, you will be tasked with working closely with avionics engineers to review and design electrical integration details to ensure details are documented and communicated to all relevant stakeholders. If you are someone who thrives in a fast-paced environment supporting new developments, active deployments, and customer operated hardware, we are looking for you.
WHAT YOU WILL DO
Full cycle PCB design including collecting requirements, schematic design, component selection, supervision or completion of layout, bring-up, test, debug, and system integration
Conduct bring-up and design work on microcontrollers, ensuring seamless integration within the system
Troubleshoot issues that span electrical and software boundaries, utilizing both lab equipment (Oscilloscopes, DMM, etc.) and basic software debugging tools}
ADDITIONAL LEARNING & DEVELOPMENT OPPORTUNITIES
Work in a fast-paced environment supporting new developments, deployments, and customer operated hardware
Perform power design, including development and integration of power management systems and components
Develop payloads and subsystems (sensors, payload interfaces, power management, and networking)
Create system interconnect diagrams and define wire harnesses that connect electronic equipment within a subsystem
Collaborate closely with other electrical, mechanical, software, firmware, and test engineers to deliver fully functional, mission-critical products
Conduct peer-level and cross-discipline design reviews
REQUIRED QUALIFICATIONS
Bachelor’s Degree in Electrical Engineering or equivalent, with 3+ years of experience designing, testing, and troubleshooting complex system designs
Ability to perform power system and electrical loading analysis, simulation, and testing to determine optimal solutions
High competence using lab test equipment (benchtop power supplies, electronics loads, oscilloscopes, DMM, logic/spectrum analyzers, etc.) with familiarity of thermal and EMI test chambers and using basic software debugging tools
Familiarity with common electrical bus interfaces (CAN, I2C, SPI, Ethernet, RS232/422, RS485, USB)
Exceptional organization and communication skills (both written and oral)
Eligible to obtain and maintain an active U.S. security clearance
Experience with power design and power management systems
Hands-on experience with microcontrollers, including bring-up and design work
Knowledge of modern analog and digital electronics and electronic circuits
Experience designing mixed-signal PCBs with multiple layer counts, layer stackup and impedance matching for power and sensor applications, understanding correct grounding approaches and employing appropriate board protections and filtering
Understanding of low voltage and high voltage power electronics and control systems in order to capture system interconnect diagrams and drive cable harnessing designs with proper wire and connector selection
PREFERRED QUALIFICATIONS
Familiar with high end consumer or military embedded systems design
Experience with power systems including batteries and AC power.
Develop low-level firmware for bring-up and test
Background in defense and missile systems.
Comprehensive understanding of the effects of temperature and vibration on electrical designs.
Location: Jakarta
Workplace: remote
CSM Indonesia invites self-motivated and skilled seafarers to be part of the growing and diverse fleet of Columbia Shipmanagement, offering rewarding career opportunities.
JOB DESCRIPTION & QUALIFICATION
Overall command of the vessel, ensuring safe navigation and operations.
Ensure compliance with all regulatory and company requirements.
Plan and execute voyages efficiently.
Supervise cargo operations (loading, stowage, securing, discharge).
Lead crew, enforce safety procedures, and conduct drills.
Handle emergencies and maintain all documentation & reporting.
Holder of a valid COC (STWC Reg II/2) with verification.
Holder of valid STCW certifications required for the position.
Experience with a multi-cultural working environment.
Good communication and leadership skills.
Fluent in the written and spoken English language.
Safety culture and mindset.
VESSEL'S SPECIFIC REQUIREMENTS
Minimum experience requirements: 12 months in Rank with the same type/size of vessel.
Experience in trading area USA and Australia is recommended
CONTRACT TERMS & CONDITIONS
Contract Duration [4 months +/- 1 months]
Contract Benefit: Competitive salary
Terms and conditions as per CBA applicable
Rejoining and Performance bonus
Free Internet onboard and wellbeing support
You may include with your application any reference, specific job qualification, and your availability date.
Looking forward to welcoming you in the Columbia Group Family.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Manager, Product Research
Location: Remote, US
Compensation Range: $200,000 to $230,000 base plus bonus and equity
What You’ll Do:
The Huntress Product Research team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Principal Product Researcher, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. Competitive candidates have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to differentiate yourself.
As you can imagine, success doesn’t happen in a vacuum. An effective Product Researcher fosters highly collaborative environments between the Product, Engineering, and Security teams to accelerate our mission and secure the 99% of businesses that fall below the enterprise poverty line. This collaboration is needed to produce and prioritize a unified technical vision that ultimately delivers our most impactful features and capabilities.
We defend over 5M endpoints for 225,000+ mid-sized and small-business customers, and that number continues to grow each month. Given this market’s tighter budget, it’s not financially feasible to assign human analysts to each client. The Security Operations team addresses this challenge head-on by building and scaling highly automated efficiencies—often lightly augmented by our SOC — that make intruders earn every inch of their access while maintaining affordability and healthy gross margins.
Roles and Responsibilities:
Identify innovative ways to detect Windows OS threats
Develop cross-platform features that leverage telemetry from common OS subsystems such as file system, memory, process, and network activity
Research and development of sensor capabilities to provide visibility and detection support for attack techniques across supported Windows OS versions
Work collaboratively with internal engineering and detection teams to implement detection logic
Identify and evaluate new telemetry opportunities
Identify and address gaps in product coverage
Respond to product escalations
Perform False Positive and False Negative investigations
Lead product research initiatives to develop and evaluate security product strategies and technologies
Coordinate with Product and Engineering teams to integrate and operationalize solutions developed by Threat Operations teams
Applies AI as a practical part of day-to-day product research work to improve the speed, quality, and impact of research outputs
Uses AI to support information gathering, analysis, prototyping, and production of clear, decision-useful work products while maintaining accountability for the final output
Builds and reuses lightweight prompts, templates, or workflows for recurring research tasks rather than relying on one-off use
Develop internal and external technical documentation to educate customers and communicate research findings to adjacent teams about security risks and opportunities
Mentor and teach technical expertise to advance the broader community
Promote Huntress’ reputation through media interaction, public speaking, CFPs, CTFs, and blogs
Qualifications:
Expert in Windows OS internals, components, APIs, and design
Prior experience with Windows OS kernel coding and device drivers
Experience testing EDRs, bypasses, and evasion techniques
Comfortable with reverse engineering and using debuggers
Proficiency in multiple programming/scripting languages, such as C/C++/C#, PowerShell, and Python
Applies AI to improve research quality, speed, and outputs in day-to-day work
Commitment to clear documentation of research findings
Experience with MITRE ATT&CK matrix, SIGMA, Yara, and Elasticsearch/Kibana
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Montreal
Workplace: remote
ABOUT YOU
We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness.
Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role.
This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide.
If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations
Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling
Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation
Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation
Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain
Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks
Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts
Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads
Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change
Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems
Participate in the SRE duty rotation, supporting developers across the company
Qualifications & Skills
3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services
Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP)
Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes)
Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry
Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams
GCP experience (IAM, networking, managed services)
Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions)
Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash)
Practical experience with incident response, post-mortems, and driving reliability improvements from incidents
Strong collaboration and communication skills — this role works embedded with product development teams daily
Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems
Nice to Have:
Kubernetes certifications
Google Cloud Platform certifications
HashiCorp certifications
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Handling infrastructure that processes sensitive financial transactions
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Salary varies depending on experience level and location.
Location: Mercer Island, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As an Engineering Manager, you will gain organizational alignment by building a strong engineering vision and offering creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers, overseeing performance management, growth opportunities, and accountability.
VALORANT is Riot's take on a character-based tactical shooter (for more info on VALORANT
click here
!).
As a Manager, Software Engineering (Services) in VALORANT’s Core Services team, you will lead a team of engineers responsible for the core game services that power VALORANT, a global live-service game with millions of daily active Players. You will lead development of new services, drive evergreen improvements to existing services, improve standards and frameworks to improve services development across VALORANT, and improve the tools and pipelines used to load test, ship, and operate those services. You will work closely with technical teams in Tencent to improve services delivery and operations in China, closing divergences in developer experience and platform behavior between Tencent and Riot regions. You will report to the Senior Manager, Software Engineering (Platform Engineering) for the VALORANT Foundations area.
Responsibilities:
Manage a team of 5-10 Software Engineers across experience levels.
Ensure VALORANT Players receive a consistently great services experience in Riot and Tencent regions.
Serve as a hands-on engineering leader, comfortable contributing across all phases of the product lifecycle, including implementation.
Develop a technical vision for your team, working with production and product partners to ensure consistency with overall product goals. Communicate this vision to your team clearly.
Advocate for Players, your team, and internal development customers when deciding what to build and why. Coordinate with other teams across Riot and Tencent working on Services technology.
Ensure high technical quality of what your team produces. Establish mechanisms to ensure your engineers have room to invent while maintaining a technical backstop for them.
Foster a collaborative, challenging, and satisfying environment for your development team. Find and surface issues, opportunities, and address them head-on. Celebrate wins.
Coach and develop your engineering team to grow in their roles, develop technical skills, and improve their effectiveness.
Champion and model Riot’s values, setting the tone for your team and peers.
Participate in your team’s on-call rotation.
Required Qualifications:
5+ years professional experience as a software engineer working in services development roles.
2+ years experience directly leading an engineering team as an Engineering Manager.
Professional experience driving technical direction and influencing architecture within a team.
Expertise with C#, Java, Golang, or similar language(s).
Professional experience with Lean or Agile development processes (Scrum, Kanban, etc).
Professional experience working with cloud computing and cloud technologies.
Professional experience building large-scale external customer-facing backend systems, game services, or cloud platforms.
Desired Qualifications:
Fluent in written and spoken Mandarin Chinese and English; comfortable communicating technically in both languages.
Professional or academic experience working with C++.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Prague, Czech Republic
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
5+ years of professional software engineering experience
Excellent knowledge of Golang or you are ready to quickly switch to this programming language
Ability to write reliable code and dig into complex problems
Teamwork-oriented approach
It would be an added bonus if you had:
Experience designing high-load and scaling services
We conduct coding interviews as part of the process.
#LI-ET3
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely.
In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.
We expect you to have:
5+ years of professional software engineering experience
Excellent knowledge of Golang or you are ready to quickly switch to this programming language
Ability to write reliable code and dig into complex problems
Teamwork-oriented approach
It would be an added bonus if you had:
Experience designing high-load and scaling services
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
seniorPalo Alto, California, United States
seniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorRemote - USA; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
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