Devops engineer [h1.location_city]

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Devops engineer • manchester nh

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[promoted]

AI DevOps and Cloud Infrastructure Engineer

CroweManchester, NH, US

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Your Journey at Crowe Starts Here.At Crowe, you can build a meaningful and rewarding career.With real flexibility to balance work with life moments, you're trusted to deliver results and make an im...[show_more][last_updated.last_updated_variable_days]

Mechanical Engineer

DEKA Research and DevelopmentManchester, NH, United States

[job_card.full_time]

DEKA Research and Development, housed in Manchester, NH, is looking for an experienced mechanical design engineer to participate in the development of innovative medical devices.They will work as p...[show_more][last_updated.last_updated_30]

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Electrical Engineer

Fireye LLCDerry Village, NH, US

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Fireye is a leading global provider of commercial combustion control solutions, specializing in HVAC and Burner Boiler markets. Our mission is to deliver safer, smarter, and more sustainable solutio...[show_more][last_updated.last_updated_1_day]

Manufacturing Engineer

Gentex CorporationManchester, NH, US

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At Gentex Corporation, we've created an environment where great ideas and great people can thrive.Leveraging a history that spans over 130 years, Gentex is a global leader in personal protectio...[show_more][last_updated.last_updated_variable_days]

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DevOps Engineer

VirtualVocationsManchester, New Hampshire, United States

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A company is looking for a DevOps Engineer who will focus on building and maintaining cloud infrastructure, implementing automation, and supporting DevOps practices. Key Responsibilities Deploy an...[show_more][last_updated.last_updated_30]

Bridge Engineer

Fuss & O'NeillManchester, NH, United States

[job_card.part_time]

A desire to effect positive change.That's what it takes to work at Fuss & O'Neill - because that's what we do for the communities in which we work : we create, innovate, and design long-lasting impr...[show_more][last_updated.last_updated_variable_days]

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Project Engineer

Granite State ManufacturingManchester, NH, US

[job_card.full_time]

Directs, coordinates and exercises functional authority for planning, organization, control, integration and completion of engineering projects within area of assigned responsibility by performing ...[show_more][last_updated.last_updated_variable_days]

COMBAT ENGINEER

US ArmyManchester, NH, United States

[job_card.full_time] +1

THIS POSITION REQUIRES AN ENLISTMENT IN THE U.As a Combat Engineer, you’ll work quickly and skillfully to help Soldiers navigate while on combat missions by constructing bridges, clearing barriers ...[show_more][last_updated.last_updated_30]

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Nuclear Engineer

U.S. NavyManchester, NH, US

[job_card.full_time]

To be eligible to enlist in the U.Navy, candidates must be between the ages of 18-34.The most powerful energy sources in the world need the most powerful minds behind them.As a Nuclear Reactors Eng...[show_more][last_updated.last_updated_variable_hours]

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Components Engineer

Intelligent Manufacturing Solutions (IMS)Londonderry, NH, US

[job_card.full_time]

The team associate with this role is responsible for designing, developing, and supporting Digital and RF Products, and you will play a key role in ensuring the electrical components in the modules...[show_more][last_updated.last_updated_variable_days]

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RF Engineer

Haigh-Farr IncBedford, NH, US

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Haigh-Farr is a premier antenna design, manufacturing and test house developing products used across all platforms in the aerospace industry including missions to Mars, the International Space Stat...[show_more][last_updated.last_updated_30]

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DevOps Engineer II

C Squared Systems LLCAuburn, NH, US

[job_card.permanent]

C Squared Systems, LLC is an RF engineering, consulting, and software development company specializing in providing services for seamless wireless coverage from RF analysis to design and implementa...[show_more][last_updated.last_updated_30]

DevOps Engineer II

C2 SystemsAuburn, NH, US

[job_card.permanent]

AWS SysOps-, DevOps Engineer

ADEX CorporationManchester, NH

[job_card.full_time]

We are seeking an AWS Developer Operations Engineer to join our team! You will design and develop solutions to complex application problems and deployment solutions. Looking to evolve a "Coder” to a...[show_more][last_updated.last_updated_30]

Principal Mobile Engineer (DevOps / Native Android)

Fidelity InvestmentsMerrimack, NH, US

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Fidelity Brokerage has an opening for a Principal DevOps engineer with expertise in Android deployments.As our build steward, you will own the CI / CD pipelines for the Android platform, and be respo...[show_more][last_updated.last_updated_30]

[promoted]

Mechanical Engineer

DEKA Research & DevelopmentManchester, NH, US

[job_card.full_time]

[promoted]

Application Engineer

PICA Manufacturing SolutionsDerry Village, NH, US

[job_card.full_time]

PICA was founded as an engineering-driven company.Everything we do begins with understanding our customers’ needs, translating them into robust and scalable designs, and manufacturing those s...[show_more][last_updated.last_updated_variable_days]

Engineer, Facilities

GetingeMerrimack, NH, United States

[job_card.full_time]

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally.At Getinge we exist to make life-saving technology accessible for more people....[show_more][last_updated.last_updated_30]

[promoted]

Quality Engineer

INSOURCE DESIGN & MANUFACTURING TECManchester, NH, US

[job_card.full_time]

Career Advancement Opportunities.As a Quality Assurance Engineer on the team, you will be working closely with many different teams and departments to support new product development, determine the...[show_more][last_updated.last_updated_30]

AI DevOps and Cloud Infrastructure Engineer

CroweManchester, NH, US

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Your Journey at Crowe Starts Here

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description :

About Crowe AI Transformation

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architecture, and industry experts to create AI-powered solutions that transform the way our clients do business.

The new AI Transformation team will build on Crowe's established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage.

As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm's technology and innovation strategy. The future is powered by AI, come build it with us.

About the Team

We invest in expertise. You'll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You'll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
We believe in continuous growth. Our team is committed to professional development and knowledge-sharing.
We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.

About the Role

The AI DevOps and Cloud Infrastructure Manager leads teams responsible for designing, operating, and scaling AI / ML infrastructure, cloud platforms, and DevOps automation that support enterprise model training, inference, and generative AI workloads. This role is the strategy and execution of cloud-native, Kubernetes-based platforms that enable reliable, secure, and cost-efficient AI systems.

As a manager, this position combines hands-on technical leadership with people management, delivery ownership, and strategic decision-making. The role oversees distributed compute environments, GPU clusters, CI / CD pipelines, and vector-search infrastructure while ensuring high availability, resilience, and compliance with security and responsible AI standards. The manager partners closely with AI engineering, data engineering, product, and security teams, serves as the primary technical owner for assigned initiatives, and communicates system risks, tradeoffs, and progress to leadership.

Key responsibilities include :

Leading engineering teams responsible for AI / ML infrastructure, cloud operations, and MLOps automation.

Defining cloud, Kubernetes, and infrastructure strategy to support scalable model training, inference, and generative AI platforms.

Guiding the design and operation of distributed compute environments, GPU clusters, and vector database infrastructure.

Overseeing CI / CD pipelines that automate model training, testing, deployment, monitoring, and lifecycle management.

Managing incident response, failure analysis, and reliability engineering across AI platforms.

Directing performance testing, capacity planning, and cost optimization for AI infrastructure.

Ensuring compliance with cloud security, IAM practices, governance requirements, and responsible AI frameworks.

Implementing multi-cloud resilience patterns, high availability, and automated failover for critical AI workloads.

Supporting platform modernization initiatives, including adoption of optimized LLM runtimes and new orchestration technologies.

Evaluating third-party infrastructure tools, GPU scheduling solutions, and platform enhancements.

Communicating system status, dependencies, risks, and technical decisions to senior leadership.

Managing 45 direct reports, including coaching, performance management, and career development.

Owning project delivery, including budget, timelines, and quality of outcomes.

Coordinating with sales and stakeholders on project sizing, feasibility, and strategic opportunities.

Driving continuous improvement initiatives to advance DevOps maturity and AI infrastructure operational readiness.

Qualifications

7+ years of professional experience in DevOps, cloud engineering, MLOps, or platform engineering.

2+ years of experience in engineering leadership or senior technical leadership roles.

Expert proficiency with distributed cloud systems, Kubernetes, and infrastructure-as-code.

Advanced ability to troubleshoot infrastructure, networking, container, and deployment issues.

Proficiency in Python, Bash, or similar automation and scripting languages.

Strong understanding of monitoring, observability, and reliability engineering patterns.

Hands-on experience supporting infrastructure for ML or generative AI workloads.

Strong leadership, communication, and cross-functional collaboration skills.

Preferred Qualifications

Bachelor's degree in computer science, engineering, cloud computing, or a related field.

Master's degree in technical discipline.

Cloud and AI certifications, including Azure (AZ-900, AZ-104, AZ-305, AZ-700, AZ-800, AI-102) or equivalent AWS / GCP certifications.

Extensive experience with Kubernetes platforms (EKS, AKS, GKE) and cloud ML services (Azure ML, SageMaker).

Experience with GPU workload orchestration, optimization, and multi-tenant inference environments.

Expertise in observability and distributed tracing (Prometheus, Grafana, CloudWatch, OpenTelemetry).

Strong experience with Terraform and infrastructure governance at scale.

Familiarity with service mesh architectures (Istio, Linkerd) and advanced deployment patterns (blue / green, canary).

Advanced experience supporting generative AI platforms, including LLM inference runtimes (vLLM, TGI), RAG infrastructure, and vector databases (Pinecone, Weaviate, FAISS).

Experience operating fine-tuned LLMs (LoRA, QLoRA), managing GenAI CI / CD pipelines, and implementing hallucination, drift, and reliability monitoring.

Demonstrated ability to make strategic technical decisions within defined delivery and budget constraints.