We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Prototype complex, cross-platform solutions to validate emerging technologies and ensure designs are maintainable, flexible, and cost-effective. Foster partnerships with customers, vendors, and internal teams to ensure strategic alignment. Remain hands-on with architecture and engineering work, serving as a recognized expert and mentor to develop team capabilities. Bachelor's or master's degree in a technical or business field, or equivalent experience. 15+ years in software engineering and architecture with deep knowledge of software languages, tools, and emerging technologies. Expertise in Event-Driven Architecture (EDA), AWS Cloud-native technologies, and API-first design principles. Experience with AI-enabled development, including Agentic AI, is highly desirable. Strong expertise in layered architectures, shared software concepts, security, and comprehensive technical architecture components. Demonstrated expertise in data-driven analysis and data-informed architectural decision-making. Prior experience using Enterprise Architecture tooling, including Leanix, is a plus. Strong understanding of business operations, global technology trends, and the financial services industry. Proven ability to influence, build consensus, and adapt quickly to change. Excellent communication and collaboration skills across all organizational levels. Experience with agile methodologies and a strong drive to lead change. 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Bachelor's degree in computer science, Information Technology, or a related field; advanced degree preferred. 15+ years of experience in software development, with minimum 10 years in Insurance industry 8+ years of proven experience as a data architect or similar role, with a strong understanding of data architecture principles and best practices 5+ years of Snowflake implementation experience in a cloud environment Extensive experience with data modeling, data warehousing, and data integration technologies. Familiarity with data governance frameworks and data quality methodologies. Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges. Strong collaboration and communication skills, with the ability to convey complex technical concepts to diverse stakeholders and drive aligned outcomes. 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Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, optimizing scalable data pipelines and architecture. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. 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Continuously scan the Gen AI landscape?model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred). Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles. Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation. Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure 1.Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience 2. At least 10 years of related experience 3. Knowledgeable in software engineering languages and tools; proficient in new and emerging technologies In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded 4. Proficient in all product and system components of technical architecture In-depth knowledge of business operations, objectives and strategies; in-depth understanding of global business and technology trends and the financial services industry 5. Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Proven experience with agile practices and expectations 6. Highly developed negotiation, consensus building & influencing skills, facilitation and the adaptability to respond to change quickly Highly developed oral and written communication skills; strong presentation skills Ability to effectively collaborate with all levels of the organization", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375099", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497400, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 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Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. 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Provide production support and participate in on-call rotation. Work within project team to lead iterative development that delivers a high-quality product. Support product owner interactions with customers and development teams to define requirements. Contribute to the production of support documentation. Perform quality assurance architecture and design guide review; defects or discrepancies in requirements identified and resolved with appropriate partners. Support IT Help Desk issue resolution for related systems and processes. Perform functional/system integration testing support. Develop Build and Deployment guides. Perform full stack development, AWS deployment and management. Perform Microservice and API integrations. Perform scripting and automation. Developing and maintaining automated test scripts using programming languages including JavaScript. Developing testing programs that address areas including database impacts, software scenarios, regression testing, negative testing, error and bug retests, or usability. Development within enterprise Identity Governance Administration (IGA) tools including SailPoint IdentityIQ, One Identity, and Oracle. Employer will accept a bachelor's degree (or foreign equivalent) in Computer Science, Software Development or a related field and five (5) years of experience in the job offered or in a Senior Cybersecurity Engineer-related occupation. SailPoint Identity IQ. Java. JavaScript. AWS (CloudFormation, Lambda). Oracle, MS-SQL, SQL and JBoss. Pentaho, Informatica, Splunk, and ESP. Shell scripts. 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Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, IDMC ETL Requires critical thinking, data analysis, and data modeling experience Must be proficient in SQL and experience with Python and JavaScript Experience with ETL (Informatica PowerCenter/IDMC) and knowledge of variety of data platforms and ingestion patterns including eventing & streaming Demonstrate leadership and active pursuit of optimizing data, CI/CD process and tools, test frameworks & practices Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505392773, "name": "Director, Engineering - Solaria Labs - USRM Incubation", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1752078840, "t_create": 1751888040, "ats_job_id": "71103", "display_job_id": "2025-71103", "type": "ATS", "id_locale": "2025-71103-en", "job_description": "Lead and develop a high-performing engineering organization, including both people leaders and senior technical leaders. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}