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senior data engineer - analytics Jobs in Boston

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senior software engineer analytics

The Brattle Group, Inc.

<div><div><p>The Brattle Group, a privately held, global economics consulting firm, is looking for a <b>Senior Data Engineer (Applied AI/ML) </b>to join our<b> Boston, MA </b>office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.</p>
<p>
On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.</p>
<p>
Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team&rsquo;s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.</p>
<p>
The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle&rsquo;s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.</p><br>
<p></p>
<p><b>
Some of the day-to-day responsibilities of this role include:</b></p>
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team&rsquo;s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul><br>
<p></p>
<p><b>
THE CANDIDATE</b></p>
<ul>
<li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul><br>
<p></p>
<p><i>
Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training.</i></p><br>
<p></p>
<p><i>
This position is not eligible for immigration sponsorship.</i></p><br>
<p></p>
<p><b>
EQUAL OPPORTUNITY</b></p>
<p>
The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.</p><br>
<p></p>
<p>
We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</p></div><p></p><div><p><b><br>
THE EMPLOYER</b></p>
<p>
The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</p></div></div><p></p>

Senior Data Engineer (Applied ML / Analytics) New

THE BRATTLE GROUP

<div><p>The Brattle Group, a privately held, global economics consulting firm, is looking for a <b>Senior Data Engineer (Applied AI/ML) </b>to join our<b> Boston, MA </b>office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.</p>
<p>
On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.</p>
<p>
Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team's analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.</p>
<p>
The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle's existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.</p><br>
<p></p>
<p><b>
Some of the day-to-day responsibilities of this role include:</b></p>
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team's capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul><br>
<p></p>
<p><b>
THE CANDIDATE</b></p>
<ul>
<li>Bachelor's Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul><br>
<p></p>
<p><i>
Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training.</i></p><br>
<p></p>
<p><i>
This position is not eligible for immigration sponsorship.</i></p><br>
<p></p>
<p><b>
EQUAL OPPORTUNITY</b></p>
<p>
The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.</p><br>
<p></p>
<p>
We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</p><p></p><div><p><b><br>
THE EMPLOYER</b></p>
<p>
The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</p></div></div><p></p>

Senior Data Engineer (Applied ML / Analytics)

RevSpring, Inc

<div><div><b>Job Title: Senior Data Engineer - Analytics</b></div>
<div></div><div><b>Essential Functions:</b></div>
<ul><li>Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse</li>
<li>Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern</li>
<li>Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.</li>
<li>Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe</li>
<li>Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for</li>
<li>Provide feedback and participate in pair programming exercises.</li>
</ul>
<div></div><div><b>Success in this role:</b></div>
<ul><li>Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs</li>
<li>Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.</li>
<li>Business teams and Customers are empowered with AI assisted insights without dependency on engineering</li>
<li>Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight</li>
<li>Contribute to the team culture where innovation, autonomy, and accountability thrive</li>
</ul>
<div></div><div><b>Minimum Requirements:</b></div>
<div><b>Specific Job Skills:</b></div>
<div></div><ul><li>Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.</li>
<li>Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption</li>
<li>Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.</li>
<li>Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.</li>
<li>Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption</li>
<li>Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.</li>
<li>Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.</li>
<li>Experience with cloud services such as AWS, Azure, GCP.</li>
<li>Experience in developing large scale data models and complex data pipelines.</li>
</ul>
<div></div><div><b>Preferred Skills:</b></div>
<ul><li>Preferred: Experience in working with large slow changing dimension data models</li>
<li>Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.</li>
</ul><div><b>Education:</b> BS Degree or equilivent work experience</div>
<div><b>Experience:</b> Five years experience developing data platforms using Python, SQL</div>
<div><b>Supervision:</b> N/A</div>
<div><b>Certifications:</b> N/A</div>
<div><b>Language Skills:</b></div>
<div>Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.</div>
<div></div><div><b>Physical Capabilities: Standard categories</b></div>
<div>The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div>
<div></div><div>While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.</div>
<div></div><div>RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div>
<div></div><div><b>Note:</b> This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.</div></div>

Senior Data Engineer - Analytics

RevSpring

<div>
 <strong>
  Job Title: Senior Data Engineer - Analytics
  <br/>
  <br/>
 </strong>
 <strong>
  Essential Functions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
  </li>
  <li>
   Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
  </li>
  <li>
   Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
  </li>
  <li>
   Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
  </li>
  <li>
   Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
  </li>
  <li>
   Provide feedback and participate in pair programming exercises.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Success In This Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs
  </li>
  <li>
   Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
  </li>
  <li>
   Business teams and Customers are empowered with AI assisted insights without dependency on engineering
  </li>
  <li>
   Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight
  </li>
  <li>
   Contribute to the team culture where innovation, autonomy, and accountability thrive
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Specific Job Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
  </li>
  <li>
   Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
  </li>
  <li>
   Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
  </li>
  <li>
   Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
  </li>
  <li>
   Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
  </li>
  <li>
   Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
  </li>
  <li>
   Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
  </li>
  <li>
   Experience with cloud services such as AWS, Azure, GCP.
  </li>
  <li>
   Experience in developing large scale data models and complex data pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Preferred: Experience in working with large slow changing dimension data models
  </li>
  <li>
   Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education:
 </strong>
 BS Degree or equilivent work experience
 <br/>
 <br/>
 <strong>
  Experience:
 </strong>
 Five years experience developing data platforms using Python, SQL
 <br/>
 <br/>
 <strong>
  Supervision:
 </strong>
 N/A
 <br/>
 <br/>
 <strong>
  Certifications:
 </strong>
 N/A
 <br/>
 <br/>
 <strong>
  Language Skills
  <br/>
  <br/>
 </strong>
 Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
 <br/>
 <br/>
 <strong>
  Physical Capabilities: Standard categories
  <br/>
  <br/>
 </strong>
 The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 <br/>
 <br/>
 While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
 <br/>
 <br/>
 RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 <br/>
 <br/>
 <strong>
  Note:
 </strong>
 This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.
</div>


DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a <b>Senior Engineer 2</b> to join our <b>AI Inference Data Plane</b> team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do:</b></h2>
<ul><li><b>Technical Leadership:</b> Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li><b>System Design:</b> Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li><b>Performance Optimization:</b> Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li><b>Collaboration:</b> Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li><b>Mentorship:</b> Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li><b>Operational Excellence:</b> Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Bring to DigitalOcean:</b></h2>
<ul><li><b>Distributed Systems Expertise:</b> Strong experience with microservices, messaging systems, databases, and infrastructure as code.</li>
<li><b>AI/ML Domain Knowledge:</b> Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.</li>
<li><b>Inference Frameworks:</b> Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li><b>Hardware &amp; Interconnects:</b> Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.</li>
<li><b>Architecture Proficiency:</b> Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li><b>Software Engineering:</b> Expert-level proficiency in <b>GoLang or Python</b> and familiarity with gRPC.</li>
<li><b>Cloud Operations:</b> Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li><b>Open Source Mindset:</b> Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$167,200.00 - $209,000</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7591</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Senior Engineer 2: Inference Data Plane

Daley And Associates, LLC

<div>
 Vice President, Engineering &amp; AI (Platforms)
 <p>
  Our client is seeking a Vice President of Engineering &amp; AI to lead our software and data platform organization, building the foundations that power analytics, products, and AI at scale. This role owns platform strategy, execution, and organizational leadership across software engineering, data engineering, cloud infrastructure, and applied AI.
 </p>
 <p>
  You will partner closely with executive leadership to translate business priorities into durable platforms, scale high-performing teams, and ensure systems are reliable, secure, and future-ready.
 </p>
 What You&rsquo;ll Do
 <ul>
  <li>
   <p>
    Set and execute the platform strategy for software, data, and cloud, aligned with business goals.
   </p>
  </li>
  <li>
   <p>
    Lead and scale teams across platform engineering, data engineering, and core services.
   </p>
  </li>
  <li>
   <p>
    Build and evolve enterprise data platforms that support ingestion, governance, analytics, and AI.
   </p>
  </li>
  <li>
   <p>
    Ensure delivery of high-quality, resilient, and scalable systems, with strong engineering standards and operational discipline.
   </p>
  </li>
  <li>
   <p>
    Establish platform abstractions, shared services, and developer tooling that accelerate product and AI teams.
   </p>
  </li>
  <li>
   <p>
    Guide adoption of AI capabilities within platforms and internal workflows where they improve reliability, automation, and insight.
   </p>
  </li>
  <li>
   <p>
    Balance long-term platform investments with incremental delivery and measurable outcomes.
   </p>
  </li>
  <li>
   <p>
    Define engineering metrics, operating rhythms, and technical standards that drive accountability.
   </p>
  </li>
  <li>
   <p>
    Communicate platform roadmaps, tradeoffs, and progress to executive stakeholders.
   </p>
  </li>
 </ul>
 What We&rsquo;re Looking For
 <ul>
  <li>
   <p>
    10+ years across software engineering, data engineering, and cloud platforms, with senior leadership experience at the Director or VP level.
   </p>
  </li>
  <li>
   <p>
    Deep experience building and operating platforms, shared services, and data infrastructure at scale.
   </p>
  </li>
  <li>
   <p>
    Strong technical judgment in distributed systems, cloud infrastructure (AWS preferred), and modern data stacks.
   </p>
  </li>
  <li>
   <p>
    Experience enabling analytics, governance, and AI through well-designed data pipelines and platforms.
   </p>
  </li>
  <li>
   <p>
    Proven ability to lead leaders, scale teams, and manage complex technical portfolios.
   </p>
  </li>
  <li>
   <p>
    Clear, concise communicator with strong executive presence.
   </p>
  </li>
 </ul>
 How You Lead
 <ul>
  <li>
   <p>
    Platform-first: You think in systems, leverage, and long-term maintainability.
   </p>
  </li>
  <li>
   <p>
    Execution-driven: You turn roadmaps into reliable platforms teams can trust.
   </p>
  </li>
  <li>
   <p>
    Pragmatic: You make smart architectural tradeoffs under real constraints.
   </p>
  </li>
  <li>
   <p>
    Data- and AI-aware: You understand how strong platforms unlock AI and analytics.
   </p>
  </li>
  <li>
   <p>
    Ownership-oriented: You are accountable for outcomes, uptime, and adoption.
    <br/>
    <br/>
    <br/>
    Onsite in Boston MA&nbsp;
    <br/>
    <br/>
    <br/>
    For immediate consideration please email a resume to Kenny at Kwilliams@daleyaa.com&nbsp;
    <br/>
    <br/>
   </p>
  </li>
 </ul>
</div>


VP Software Engineering and AI Platforms

Beth Israel Lahey Health

Boston, MA &bull; Beth Israel Deaconess Medical Center &bull; Full-time &bull; Day
<br><div><p><b>When you join the growing BILH team, you're not just taking a job, you&rsquo;re making a difference in people&rsquo;s lives.</b></p>
<p></p>
<p>Reporting directly to the Chief Academic Officer, BILH/BIDMC, the Executive Director, Research Computing &amp; Informatics, provides strategic and operational leadership for research-focused IT services across the BILH system, with a primary emphasis on establishing, expanding, and sustaining a comprehensive High Performance Computing (HPC) program, AI/ML research capabilities and next generation cyber infrastructure for research. The Executive Director will partner closely with the BILH IT System Services Liaison for Research.</p>
<p>
The Executive Director serves as a bridge between complex research IT capabilities and the academic community, with a demonstrated ability to communicate technical concepts, risks, and opportunities in clear, accessible terms to non-technical faculty, administrators, and senior leadership. This role partners closely with faculty, research leadership, academic units, and BILH IT System Services to enable data intensive, computational data, and AI-driven research across disciplines.
</p><p>BILH is establishing a system-wide High-Performance Computing (HPC) Core enabled by a strategic grant from Dell Technologies. The Executive Director will lead the design, deployment, and operation of this enterprise HPC environment and ensure it delivers measurable impact across biomedical research, clinical trials, and AI-enabled healthcare.</p>
<p>
This role is responsible for translating a major capital investment in advanced computing into a durable, secure, and investigator-focused capability. The Executive Director will bridge biomedical research, clinical informatics, AI governance, and enterprise IT, with an initial focus on AI-enhanced clinical trial recruitment and large-scale analysis of BILH-wide clinical and research data.</p>
<p>
The position is foundational to BILH&rsquo;s strategy for data-powered precision medicine and will shape how computational resources are accessed, governed, and scaled across the system.<br>
The Executive Director serves as a key architect of the institution&rsquo;s research computational and AI research strategy, ensuring scalable, secure, and sustainable computing environments that enhance research competitiveness, attract external funding, and accelerate discovery by aligning capabilities with current and future research needs.</p>
<p></p>
<p><b>Job Description:</b></p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Strategic Leadership &amp; Vision</b></p>
<ul>
<li>Develop and lead a comprehensive strategy for research computing, HPC, and AI/ML platforms aligned with institutional research priorities and academic goals.</li>
<li>Translate institutional research priorities into computing capabilities supporting omics, imaging, clinical data analytics, simulation, and AI/ML workloads.</li>
<li>Establish a sustainable, scalable ecosystem for advanced computing and AI-enabled research, supporting modeling, simulation, data analytics, and machine learning workloads.</li>
<li>Advise the Chief Academic Officer and administrative leadership on trends, opportunities, and risks related to research IT, HPC, AI/ML, and cyberinfrastructure.</li>
<li>Integrate principles of responsible, ethical, and transparent AI into research computing strategy and operations.</li>
</ul>
<p><b>HPC Core Leadership &amp; Delivery</b></p>
<ul>
<li>Lead the implementation, operation, and continuous evolution of the HPC Core, ensuring enterprise-grade reliability, scalability, performance, and secure access.</li>
</ul><ul><li>Manage the HPC Core as a viable and sustainable service for the research community, balancing performance, access, and cost.</li>
<li>Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.</li>
<li>Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.</li>
</ul>
<p><b>Clinical Trials &amp; AI Enablement</b></p>
<ul>
<li>Drive early HPC and AI/ML use cases that strengthen clinical trial recruitment, including AI-enhanced cohort discovery and analytics.</li>
<li>Partner with clinical informatics and data teams to support large-scale querying and analysis of enterprise clinical datasets, including millions of patients, encounters, and clinical notes.</li>
<li>Ensure strict protection of PHI and regulated data through secure computing environments, governance controls, and compliance-aligned architectures.</li>
<li>Work closely with institutional AI/LLM governance bodies to ensure responsible, ethical, and compliant deployment of advanced analytics and AI workflows.</li>
</ul>
<p><b>Research Engagement &amp; Enablement
</b></p><ul><li>Serve as the senior point of contact for investigators, core facilities, and translational research programs seeking advanced computational and AI-enabled support.</li>
</ul><ul><li>Ensure equitable access to HPC resources for early-stage investigators as well as large, data-intensive research programs.</li>
<li>Deliver early insights and demonstrable value from biomedical discovery and translational research use cases.</li>
<li>Support grant competitiveness by documenting HPC and AI/ML capabilities, advising on computational feasibility, and aligning infrastructure with sponsor expectations.</li>
<li>Establish and lead training and onboarding programs to enable effective researcher access and adoption of HPC and AI platforms.</li>
</ul>
<p><b>Architecture, Operations &amp; Security</b></p>
<ul>
<li>Oversee HPC and research computing architecture across on-premises, cloud, and hybrid environments, including GPU-accelerated systems.</li>
<li>Ensure enterprise-grade operations, including system monitoring, patching, lifecycle management, disaster recovery, performance tuning, and capacity planning.</li>
<li>Maintain close alignment with BILH IT System Services on facilities, power, cooling, networking, and physical and cyber security of high-value computing assets.</li>
<li>Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.</li>
<li>Oversee AI/ML research platforms, including data pipelines, model training and inference environments, high-performance storage, and research software ecosystems.</li>
<li>Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.</li>
<li>Promote best practices in research software engineering, reproducibility, workflow automation, and MLOps.</li>
</ul>
<p><b>Governance, Strategy &amp; Partnerships</b></p>
<ul>
<li>Contribute to institutional governance related to research computing, data science, and AI strategy.</li>
<li>Advise senior academic, research, and clinical leadership on trends, risks, and investment opportunities in HPC, AI/ML, and cyberinfrastructure.</li>
<li>Represent the institution in external initiatives and partnerships, including regional and national efforts such as the Massachusetts AI Hub.</li>
<li>Engage industry partners and vendors in ways that accelerate research while protecting patient data, institutional interests, and academic independence.</li>
</ul>
<p><b>Financial &amp; Team Management</b></p>
<ul>
<li>Manage HPC operating and capital budgets, vendor relationships, refresh cycles, and long-term capacity planning.</li>
<li>Implement transparent usage, allocation, and cost models that balance sustainability with broad and equitable access.</li>
<li>Build, mentor, and lead a multidisciplinary HPC and research computing team spanning infrastructure, storage, security, and investigator-facing support.</li>
<li>Foster a culture of collaboration, service excellence, and continuous learning.</li>
<li>Oversee AI/ML research platforms, including data pipelines, model training and inference environments, high-performance storage, and research software ecosystems.</li>
<li>Establish governance, access models, service tiers, and support frameworks for shared HPC and AI/ML resources.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>Advanced degree (PhD, MD, or equivalent experience) in a computational, biomedical, engineering, data science, or other data-intensive discipline.</li>
<li>Leadership experience directing high-performance or large-scale research computing in an academic medical center or comparable environment.</li>
<li>Demonstrated experience supporting data-intensive biomedical and clinical research and working directly with investigators.</li>
<li>Strong understanding of secure computing environments for sensitive, regulated, or clinical data (e.g., PHI).</li>
<li>Proven ability to communicate complex technical concepts clearly and effectively to non-technical faculty, clinical leaders, and executive stakeholders.</li>
<li>Demonstrated success leading cross-functional teams and complex, enterprise-scale initiatives.</li>
</ul>
<p><b>Desirable Qualifications</b></p>
<ul>
<li>Direct experience of biomedical research activities.</li>
<li>Direct experience with AI/ML or LLM-based systems applied to clinical or translational research.</li>
<li>Experience integrating research computing platforms with EMR-adjacent or clinical data systems.</li>
<li>Track record of contributing to institutional infrastructure strategy or large-scale research initiatives.</li>
<li>Familiarity with governance models for AI, data access, and enterprise research computing.</li>
</ul>
<p><b>The Executive Director must be able to</b>:</p>
<p></p>
<ul><li>Convert Dell&rsquo;s in-kind investment into real scientific and clinical impact.</li>
<li>Navigate the boundary between research computing and clinical data without compromising security or trust.</li>
<li>Deliver early wins in biomedical research, clinical trial recruitment and AI-enabled analytics while building a long-term, scalable platform.</li></ul><br>
<p></p>
<p></p>
<p><b>Pay Range:
</b></p><p>$225,000.00 USD &ndash; $295,000.00 USD</p>
<p>
The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.</p>
<p></p>
<h2 class="jobSectionHeader"><b>As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.</b></h2>
<p></p>
<h2 class="jobSectionHeader"><b>More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.</b></h2>
<p></p>
<h2 class="jobSectionHeader"><b>Equal Opportunity Employer/Veterans/Disabled</b></h2></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Job details</b></h3>
<ul><li><div><b>Employment:</b> Full-time</div></li>
<li><div><b>Hours/Week:</b> 40</div></li>
<li><div><b>Shift:</b> Day</div></li>
<li><div><b>Category:</b> General Information Technology</div></li>
<li><div><b>Pay Range:</b> $225,000.00 USD - $295,000.00 USD</div></li>
<li><div><b>FLSA:</b> Exempt</div></li>
<li><div><b>Req ID:</b> JR92242</div></li></ul></div>

Executive Director, Research Computing and Informatics

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