833 Software Engineer jobs in New Hampshire

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Data Engineer

Adecco

Rochester, NH 03867

$110,000/yr

Onsite

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field required.
Minimum of five (5) years of experience in Data Engineering, Software Development, or a related technical discipline.
Strong programming experience with Python, Java, Scala, or similar languages.
Advanced knowledge of SQL, database administration, and data modeling principles.
Experience designing and supporting ETL processes and data integration solutions.
Familiarity with big data technologies, frameworks, and distributed processing environments.
Experience working with cloud platforms such as AWS or similar cloud ecosystems.
Ability to travel internationally up to 25% as business needs require.
Manufacturing environment requiring a combination of sitting, standing, and walking throughout the day.
Occasional reaching, bending, and lifting of materials up to 35 pounds.
Required use of safety footwear and protective eyewear when entering production areas.

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Quality Engineer

The Timken Company

Lebanon, NH 03766

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Associates degree in Engineering or other technical field
6 - 10 years prior production experience

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Senior IT Validation Engineer

lonza

Dover, NH 03821

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Principal Systems Engineer with Security Clearance

Indotronix International

Merrimack, NH 03054

Design / Documentation Engineer

GPD OPTOELECTRONICS

Salem, NH 03079

New, Posted 1 hour ago

Director, Software Engineering (UI)

Fidelity Investments

Brookline, NH 03033

Onsite

Proven experience leading enterprise integrated experience platforms, owning strategy and execution for web and desktop UI foundations.
Demonstrated ownership of design systems and shared UI component libraries, including governance, adoption, and long‑term evolution across multiple product teams.
Deep background in modern UI and desktop experience architecture, including scaling component‑driven micro-frontend platforms and enabling consistent, high‑quality user experiences across applications.
Strong experience with desktop interoperability platforms and standards, including FDC3, and related interop products, enabling application composition, context sharing, and cross‑application workflows.
Experience integrating AI‑enabled capabilities into interoperability platforms, such as contextual intelligence, workflow automation, smart routing of intents, and AI‑assisted cross‑application experiences.
Strong understanding of desktop containers, inter‑application communication patterns, and orchestration models, including how AI services can enhance real‑time decisioning and user productivity.
Track record of leading engineering talent, while setting clear technical direction and accountability.
Solid full‑stack foundation enabling effective leadership across platforms and supporting backend services, ensuring seamless end‑to‑end integration.
Recognized ability to influence enterprise engineering standards and platform strategy, particularly across experience platforms, interoperability, and shared UI services.
Sustained commitment to engineering excellence, talent development, and continuous improvement in large, complex environments.
Bachelor's degree in computer science, Software Engineering, or related technical field, demonstrating a solid foundation in data structures, algorithms, systems design, and core engineering principles
Ability to coach, mentor, and provide technical guidance to engineers working across platforms, interoperability layers, and AI‑enabled capabilities.
Strong hands‑on understanding of Angular, TypeScript, and component‑driven UI development, including modern build, testing, and performance optimization practices.
Ability to design and evolve UI frameworks and shared frontend capabilities that support both browser‑based and desktop‑hosted experiences.
Practical experience with FDC3 and desktop interoperability platforms (OpenFin / Interop), including context sharing, intents, app discovery, and cross‑application integration.
Knowledge of desktop containers, windowing models, and interop standards, enabling seamless multi‑application user experiences.
Ability to design AI‑enhanced interoperability workflows, such as intelligent context propagation, AI‑driven intent resolution, recommendation services, and workflow automation across applications.
Experience integrating UI and interop platforms with backend and AI services through well‑designed APIs, with working knowledge of Java, Spring Boot, REST, OpenAPI, and OAuth2/JWT.
Familiarity with CI/CD pipelines supporting frontend assets, shared UI libraries, desktop‑integrated applications, and AI‑enabled services.
Understanding of cloud infrastructure and Kubernetes‑based deployment models supporting experience platforms, interop services, and AI workloads.
Strong operational mindset, including observability, reliability, incident response, and performance tuning, with particular focus on end‑user experience and workflow continuity.
Curiosity and adaptability, with an ongoing focus on modern experience platforms, desktop interoperability, cloud technologies, and AI‑enabled development practices (GitHub Copilot, Claude Code).