Explore 3 python cloud platform developer jobs from 3 hiring companies in Tilton-Northfield, NH, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer Jobs

Fidelity Investments

GN Store Nord

Liberty Mutual

Hybrid

Onsite

Machine Learning Engineer - Cloud*Please consider before applying: This is a hybrid role, and candidates must reside within a commutable distance of one of our offices in either Dover, NH, or Lowell, MA.Turn up the volume on your career as Cloud AI/ML EngineerGN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhances the senses of hearing and sight.We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.The team you will be part ofYou will be joining our team focused on developing the Jabra Perform and BlueParrott product lines, aimed at improving tools for frontline workers.As part of the team, you will design and deliver machine learning models and cloud-based systems that power and enhance frontline worker devices. You will train, fine-tune, and optimize models for production grade performance, contributing to scalable and reliable ML services. You will help build and maintain the team’s end-to-end workflows: Developing data pipelines, generating datasets, creating evaluation frameworks, and implementing backend services that support our devices and applications. In this role, you will collaborate across disciplines to shape new features and bring impactful products to market.Your contribution is appreciated, and you will <ul><li>Design, build, and train scalable machine learning models and algorithms for cloud-based environments.</li><li>Collect, preprocess, and analyze large and complex datasets to support model development and continuous refinement.</li><li>Transition models from research to production, ensuring they are performant, maintainable, and ready to operate at scale.</li><li>Deploy ML models into existing or newly developed backend services, integrating seamlessly with cloud infrastructure.</li><li>Partner closely with engineers and product managers to deliver ML solutions that enhance and support our connected devices.</li><li>Test, evaluate, and continuously monitor deployed models to ensure accuracy, robustness, and early detection of data drift or performance degradation.</li><li>Build strong collaborative relationships with technical subject matter‑ experts, stakeholders, and leadership across the organization.</li><li>Identify, communicate, and manage technical risks throughout the project lifecycle to ensure smooth delivery.</li></ul>Sounds good so far? To thrive in this role, we envision that you bring<ul><li>2&#43; years of experience in deploying and optimizing ML models in a production environment using cloud platforms like AWS, GCP, or Azure.</li><li>Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn) with practical experience in designing and implementing ML models.</li><li>Proficiency in programming languages such as Python, R, Java, or C&#43;&#43; for developing and optimizing machine learning algorithms.</li><li>Familiarity with big data technologies and distributed computing frameworks for handling and processing large datasets.</li><li>Fundamentals of audio and speech signal processing.</li></ul>Pay Transparency Notice  <ul><li>Depending on your work location, the target annual salary for this position can range from $86,000.00 to $135,000.00.  In addition, you may be eligible for a discretionary bonus. </li><li>Compensation for roles at GN depends on a wide array of factors including but not limited to location, role, skill set, and level of experience. </li><li>To remain competitive, GN offers a competitive benefits package, including annual bonuses, health insurance, a 401(k) plan, paid time off and paid holidays.</li></ul>We encourage you to applyEven if you do not match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We greatly appreciate a mindset and motivation that aligns with our core values, helping both you and your team to thrive within the GN organization.We are focused on an inclusive recruitment processAll applicants will receive equal consideration for employment.Disability AccommodationIf you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail <a href="mailto:careers.us&#64;gn.com" target="_blank">careers.us&#64;gn.com</a>. This email is provided for the purpose of supporting applicants who have a disability that prevents them from being able to apply online. Only emails received for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.Join us in bringing people closer GN brings people closer through our advanced intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss overcome real-life problems, improve communication and collaboration for businesses, and provide great experiences for audio and gaming users.GN Store Nord A/S has entered into a definitive agreement for the sale of GN’s Hearing business to Amplifon S.p.A. to create a global leader in audiology. For GN Group, this creates an opportunity to expand our position in the large audio and video peripherals markets. Read more about the announcement <a href="https://www.gn.com/Newsroom/Announcement?id&#61;3256006&amp;lang&#61;en&amp;date&#61;20260316&amp;title&#61;GN-Store-Nord-A-S-enters-into-agreement-to-sell-its-Hearing-business-to-Amplifon-S-p-A-for-DKK-17-0-billion" target="_blank">here</a>. We hope you will join us on this journey and look forward to receiving your application. #LI-GNGroup

Machine Learning Engineer - Cloud

Machine Learning Engineer

Design, build, and deploy scalable ML models in cloud; data preprocessing; production deployment; Python; cloud platforms; ML frameworks; audio/speech familiarity.

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<div style="font-family: 'Arial', sans-serif; font-size: 12pt;"> We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. Engineering Manager: Guidewire PolicyCenter Platform Job summary:Responsible for hiring, managing, and deploying resources across team(s) to enable optimal alignment of staff to business priorities. Coaches and evaluates performance and quality of work delivered by team members. Creates a motivating environment and ensures the team is constantly learning and delivering quality code. Understands tools, architecture, security, and scalability needs for assigned team(s); provides technical engineering guidance, especially with less experienced team members. Manages total cost of ownership, advocates for removal of technical debt, and supports team effectiveness. Champions agile methodology and practices. In addition, this role owns the technical delivery and ongoing health of the Guidewire PolicyCenter platform (part of Liberty Mutual’s Unified Insurance Platform), ensuring scalability, reliability, maintainability, security, and upgradeability. Partners closely with Guidewire, Architecture, Product, Security, and Tech Enablement, establishes enterprise-grade policy data governance and stewardship, and demonstrates platform ROI through data and metrics.  Responsibilities:<ul><li>Ensures the PolicyCenter platform and adjacent ecosystem (Integration Gateway, Product Definition, Jutro Digital, internal developer platform) are enhanced and maintained to meet business needs; defines KPIs and success measures with Product Owners.</li><li>Understands the business domain and product vision; aligns team work with Scrum Masters, Architects, Product Owners, and stakeholders toward shared goals; maintains a unified, prioritized backlog.</li><li>Monitors team effectiveness and addresses issues impacting productivity; removes roadblocks and manages interdependencies.</li><li>Initiates and fosters partnerships with Guidewire, vendors, technology managers, and executives; aligns capabilities and roadmap to Liberty standards and cost goals; ensures external SaaS platforms meet technology, security, operational, and performance standards.</li><li>Manages quality of work, addresses performance issues promptly, conducts performance reviews, drives professional development (rotations, special assignments), and provides technical coaching and mentoring.</li><li>Hires talent and actively engages in recruiting; coordinates with vendors for consistent onboarding and transitions.</li><li>Leads adoption of DevSecOps and SRE practices; improves CI/CD pipelines, observability, secure-by-default guardrails, and internal tooling to accelerate delivery and reduce operational load.</li><li>Ensures platform scalability, reliability, performance, security, and upgrade readiness; builds solutions to measure conformance and upgradeability.</li><li>Owns the PolicyCenter value stream; integrates Release and Value Stream Management and establishes/tracks DORA & HPE metrics (Lead Time, Deployment Frequency, Change Failure Rate, MTTR), SLOs, and flow efficiency to drive continuous improvement and clear ROI.</li><li>Establishes enterprise-grade data governance and stewardship for policy data: defines canonical models and authoritative sources; enforces policies for definitions, ownership, access, retention, and classification; implements metadata, lineage, and catalog entries; sets data quality SLAs/SLOs and KPI dashboards (completeness, accuracy, timeliness, lineage); manages data contracts and schema/versioning across APIs and events; drives master/reference data practices; ensures compliant handling of PII with least-privilege access; embeds data observability and incident management.</li><li>Supports AI-native workflows on the platform (model evaluation, observability, safe operations) and applies AI/ML and Generative AI to improve automation, insight, and customer experience.</li><li>Speaks the language of APIs, infrastructure, data models, and cloud architecture; collaborates across Product, Engineering, Security, and support teams to ensure seamless integration, optimal performance, and compliance in a regulated environment.</li><li>Participates in developing technology vision, strategies, and operating plans for the platform; may establish financial plans and manage to budget; evaluates, selects, and implements new technologies to enhance the platform and developer experience (e.g., internal documentation, self-service environments, internal developer portal).</li></ul>Day-to-Day Responsibilities:<ul><li>Set technical direction, review designs and code, and ensure best practices in PolicyCenter configuration, integration, testing, and release.</li><li>Remove blockers, manage interdependencies, and align work across teams toward product goals.</li><li>Define platform KPIs, dashboards, and reporting to provide transparency and drive action.</li><li>Collaborate with Guidewire and internal Architecture to evaluate new capabilities, ensure upgradeability, and optimize cost.</li><li>Lead the rollout of secure-by-default patterns, automated controls, and platform guardrails.</li><li>Partner with Product, Engineering, and Security leadership to align infrastructure capabilities with business needs.</li><li>Own the PolicyCenter data domain: define canonical data models, data contracts, and authoritative sources for policy, product, rating, and underwriting data.</li><li>Establish and enforce data governance policies (definitions, ownership, access, retention, classification), aligned with Liberty Mutual and regulatory standards.</li><li>Build and operationalize data quality SLAs/SLOs and KPI dashboards (completeness, accuracy, timeliness, lineage, change failure rate for data pipelines) for Policy data.</li><li>Implement and maintain metadata, lineage, and catalog entries for PolicyCenter datasets; ensure upgradeability and alignment with Guidewire’s data model.</li><li>Partner with Enterprise Data Office, Security, and Legal to ensure compliant handling of PII and policy data (privacy, consent, auditability, least-privilege access).</li><li>Drive master and reference data practices for policy-related entities; reduce duplication and ambiguity through golden-source stewardship.</li><li>Embed data observability and incident management for data pipelines; continuously improve reliability and reduce operational load.</li></ul> What success looks like<ul><li>A high-performing team with clear ownership, strong technical depth, and platform accountability.</li><li>A scalable, reliable platform that supports growing product complexity and engineering throughput.</li><li>Engineers move faster and safer thanks to high-quality tooling, automation, and platform abstractions.</li><li>Platform infrastructure meets or exceeds targets for reliability, performance, and compliance.</li><li>Infrastructure is a strategic enabler, not a bottleneck.</li></ul> </div>

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<div style="font-family: 'Arial', sans-serif; font-size: 12pt;"><ul><li>Knowledge of technology concepts, strategies and methodologies typically acquired through a Bachelor`s or Master`s Degree in technical or business discipline and a minimum of five years’ experience in a practice relevant domain including delivering software solutions in an agile environment. </li><li>3 years in a leadership role preferred. </li><li>Role-Specific qualifications<ul><li>10+ years of software engineering experience, with 5+ years in engineering, platform, infrastructure, or developer productivity leadership.</li><li>Strong technical leadership, mentoring, and the ability to guide multiple agile teams toward consistent, high-quality delivery.</li><li>Proven success implementing AI/ML and Generative AI capabilities to drive automation, insight, and customer experience.</li><li>Deep experience architecting and engineering across cloud platforms (AWS, Azure), SaaS, CI/CD pipelines, and infrastructure as code.</li><li>Commitment to DevSecOps and SRE principles, secure coding, proactive health management, and compliance in regulated environments.</li><li>Hands-on experience building and scaling internal developer platforms (IDP), self-service environments, and secure service-to-service communication.</li><li>Data-driven decision-making using DORA metrics, SLOs, and platform adoption KPIs to drive continuous improvement.</li><li>Strong architectural judgment and pragmatic approach to scaling systems; excellent written and verbal communication skills.</li></ul>Highly qualified candidates will have:<ul><li>Expert-level Guidewire PolicyCenter experience (Configuration, Integration, and Edge/Digital APIs); proven experience leading PolicyCenter implementations and upgrades or a similar experience with another SaaS platform</li><li>Familiarity with Kafka or managed messaging systems in real-world production use.</li><li>Experience with event-driven and service-oriented architectures, microservices, identity, and access control.</li><li>Experience managing platforms for multi-tenant SaaS applications.</li><li>Background with observability systems (metrics, logging, tracing) and reliability tooling.</li><li>Experience with developer experience tooling: internal documentation, self-service environments, and internal developer portals.</li><li>Preferred: Guidewire PolicyCenter ACE Certification (10.0 or higher).</li><li>Experience establishing data governance in regulated environments; familiarity with frameworks (e.g., DAMA, DCAM) and tools (e.g., Collibra, Alation).</li><li>Hands-on work with data quality and observability tools (e.g., Great Expectations, Monte Carlo, Soda) and schema registries (e.g., Confluent).</li><li>Deep understanding of Guidewire PolicyCenter data model and its upgrade/extension patterns; ability to align enterprise data needs with GW configurations.</li><li>Expertise in defining and managing API and event-based data contracts (OpenAPI/AsyncAPI, Avro/Protobuf) and secure data access (RBAC/ABAC).</li><li>Proven ability to operationalize data stewardship: clear ownership, auditable lineage, measurable quality, and compliant retention for policy data.</li></ul> </li></ul></div>

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Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.  At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.  We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:<a href="https://www.libertymutualgroup.com/about-lm/careers/benefits" target="_blank" title="https://www.libertymutualgroup.com/about-lm/careers/benefits" class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" data-renderer-mark="true" rel="noopener"> https://www.libertymutualgroup.com/about-lm/careers/benefits</a>     Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.      Fair Chance Notices  <ul style="margin-top: 0in;"><li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-fair-chance-act.pdf" target="_blank" rel="noopener">California</a> </li></ul><ul style="margin-top: 0in;"><li><a href="https://bca.lacity.gov/Uploads/fciho/FCIHO-factsheet-2024-03-05.pdf" target="_blank" rel="noopener">Los Angeles Incorporated</a> </li></ul><ul style="margin-top: 0in;"><li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2025/01/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf" target="_blank" rel="noopener">Los Angeles Unincorporated</a> </li></ul><ul style="margin-top: 0in;"><li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/pa-philadelphia-fair-chance-law.pdf" target="_blank" rel="noopener">Philadelphia</a> </li></ul><ul style="margin-top: 0in;"><li><a href="https://jobs.libertymutualgroup.com/wp-content/uploads/2024/02/ca-san-francisco-fair-chance.pdf" target="_blank" rel="noopener">San Francisco</a> </li></ul>

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Manager, Engineering - (Guidewire PolicyCenter Platform)

Manager, Engineering

Engineering leadership with Guidewire PolicyCenter experience; 10+ years software engineering, 5+ years leadership; AI/ML and cloud platform experience; DevSecOps and SRE practices; Guidewire PolicyCenter expertise preferred.

<h2></h2><h2>Job Description:</h2>Position Description:Develops data pipelines that support next generation surveillance solutions on a wide range of anti-money laundering (AML) typologies, primarily supporting the team’s work in the money movement, trading, and cryptocurrency space. Collaborates across teams to understand the various regulatory (FINRA, OCC, and FinCEN) red flags and risks, and acquires data, performs data analysis, and builds new features to improve detection. Works with machine learning (ML) models, rewrites legacy models, and supports the data preparation for reporting efforts. Simplifies infrastructure and production support complexity. Develops model performance metrics and makes model adjustments accordingly to ensure models are performing optimally. Develops features using various technologies -- Data Build Tool (DBT), Snowflake, SQLMesh, and Python. Assists in the architectural design and implementation of the transaction monitoring platform that enables and scales the newest business initiatives, including digital assets and other emerging technologies. Creates robust testing scenarios, including unit testing, regression testing, and model performance.Primary Responsibilities:<ul><li>Provides technical leadership, mentoring, and training to other team members through code reviews, collaboration, and educational presentations.</li><li>Explores new technologies and emerging trends and determines their applicability to use cases and orchestrates the adoption of technologies and trends.</li><li>Develops complex or multiple data engineering solutions and conducts studies of alternatives to translate divisional initiatives into business solutions.</li><li>Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.</li><li>Participates in architecture design teams.</li><li>Defines and implements application-level architecture.</li><li>Develops applications, components, and subsystems to support division-wide complex projects.</li><li>Recommends development testing tools and methodologies.</li><li>Establishes full project life cycle plans for complex projects across multiple platforms.</li><li>Advises on risk assessment and risk management strategies for projects.</li><li>Plans and coordinates project schedules and assignments for multiple projects.</li><li>Provides technology solutions to daily issues and estimates technical evaluation requirements for technology initiatives.</li><li>Mentors junior team members.</li></ul>Education and Experience:Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Data Engineer (or closely related occupation) developing data pipelines using Continuous Integration and Continuous Delivery (CI/CD) and deploying code and services to cloud-based data platforms -- DbT and Snowflake.Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) year of experience as a Principal Data Engineer (or closely related occupation) developing data pipelines using Continuous Integration and Continuous Delivery (CI/CD) and deploying code and services to cloud-based data platforms -- DbT and Snowflake.Skills and Knowledge:Candidate must also possess:<ul><li>Demonstrated Expertise (“DE”) developing high quality data solutions in a multi-developer Agile environment according to design and coding best practices; and developing Extract, Load, Transform (ELT) and Extract, Transform, Load (ETL) pipelines to migrate data to and from Snowflake data store, using DbT, Python, and SQLMesh.</li><li>DE assembling large, complex data sets that meet functional and non-functional business requirements; designing and implementing internal process improvements -- automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, using Jira, Confluence, Tableau, and Actimize.</li><li>DE designing, implementing, and maintaining scalable ETL/ELT pipelines, using tools (DbT and Snowflake); automating deployments and testing workflows, using Jenkins and GitHub; contributing to codebases using Git, conducting code reviews, and collaborating, using GitHub; writing unit and integration tests for data pipelines, using PyTest and DbT frameworks; and creating and maintaining technical documentation, runbooks, and onboarding guides.</li><li>DE manipulating, processing, and extracting value from large, disparate datasets, using Alteryx, Snowflake, DbT, SQLMesh, and Python; working in financial crime typologies, AML/BSA regulations, or fraud detection methodologies.</li></ul>#PE1M2#LI-DNI<h2></h2><h2>Certifications:</h2><h2></h2><h2>Category:</h2><h2></h2>Information TechnologyMost roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Principal Data Engineer

Lead data pipelines for AML with DBT, Snowflake; mentor team; CI/CD in cloud data platforms.

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