senior data engineer

systems engineer

.net full stack engineer

project engineer

quality engineer

senior software engineer

Revvity

<div><p>It is a unique opportunity to extend a product from its market-leading position as desktop drawing software to a leading position as software and tools for Chemists and Biologists on the Signals online platform.</p><p></p><p><br>
We are looking for a motivated<b> Principal</b><b> Software Engineer (C++, Web Development, TypeScript) </b>who will take a development lead in the chem and bio-informatics software that is ChemDraw, ChemDraw+ and the desktop ChemOffice suite.<br>
<br>
<b>Job Specifics:</b></p><ul><li><p>
Take a development mentoring lead in the ChemDraw desktop suite and the online drawing, sharing and collaboration tools</p></li><li><p>
Extend more of the desktop functionality into the Signals online environment</p></li><li><p>
Utilize a technical mastery of the development stack from the C/C++/C#/python desktop environment to the web HTML, JavaScript/TypeScript, CSS world</p></li></ul><p></p><p><b><br>
Basic Qualifications:</b></p><ul><li><p>
5+ years of experience as a Software Development Engineer</p></li><li><p>
5+ years of expertise in C/C++/C#/python desktop environment</p></li><li><p>
5+ years of C, C++ development and related IDEs such as VS Code, Visual Studio Code or XCode</p></li><li><p>
4+ years of expertise with web development technologies and methods, especially in HTML, JavaScript/TypeScript, CSS</p></li><li><p>
1 year + experience as a Technical Lead or Mentoring Lead</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
BS degree in Computing, Algorithms or a related subject</p></li><li><p>
Experience in the Computing or Life Science industries</p></li><li><p>
Experience with the design and development of computer systems</p></li><li><p>
Experience of a variety of higher-level languages and frameworks such as Python, C#, Java, Node.js, Win32, WinForms, Cocoa, SwiftUI, Qt, GTK</p></li><li><p>
A good working knowledge of software development on Windows and Mac and familiarity with development on Linux</p></li><li><p>
A good understanding of the software development lifecycle, agile principles, scrum, kanban and testing approaches</p></li><li><p>
Wide experience designing, developing and delivering different software products in the marketplace</p></li><li><p>
Familiarity with Cheminformatics and/or Bioinformatics problems and principles</p></li><li><p>
Software UI/UX experience and working with UX design teams</p></li></ul><p></p><p><i>
The working hours for this position will be EST.</i></p><p></p><p><i>
Candidates must have the capability to Interview In-Person at our Headquarters in Waltham, MA USA.</i></p><p></p><p><i>
Please include a valid LinkedIn profile and added work links, to your resume.</i></p><p></p><p><i>
Fraud Prevention Notice</i><i>: We are committed to a fair and transparent hiring process. All applicants must provide accurate and truthful information. Any use of impersonation, falsified identities, or AI-generated deepfakes will result in immediate disqualification from consideration. We conduct identity verification as part of our hiring process to protect both candidates and our organization.
</i></p><p></p><p><i>The base salary range for this full-time position is </i>$142,000 - $180,000<i>. This range reflects the minimum and maximum target for a new hire in this position. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</i></p><p></p><p><i>
Please note that base pay is only one part of our total compensation package and is determined within a range. This range allows for the successful candidate to have an opportunity to progress within the position and develop at our company. This base pay range does not take into account bonuses, equity, or other benefits which may be applicable and are dependent on the level and position offered.</i></p><p></p><p>
#LI-TE</p><p></p><p><b><br>
What do we offer?</b></p>
<p>We provide competitive and comprehensive benefits to our employees. Below are some highlights of our benefits:</p>
<p></p><ul><li>Medical, Dental, and Vision Insurance Options</li>
<li>Life and Disability Insurance
</li><li>Paid Time-Off</li>
<li>Parental Benefits</li>
<li>Compassionate Care Leave</li>
<li>401k with Company Match</li>
<li>Employee Stock Purchase Plan</li>
</ul><p></p><p>Learn more about Revvity&rsquo;s benefits by visiting our Bswift page. Log-In instructions are provided towards the bottom of the Bswift page.</p>
<p></p><p><i>For benefit-eligible roles only. Part-time and temporary roles may not be eligible for all benefits listed. Please reach out to your recruiter for more information.</i></p></div><p></p>

Principal Software Engineer, ChemDraw (C++, Web Development, TypeScript) - Remote US

Canterr, Inc.

<div>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Boston, MA
 </p>
 <p>
  Job Type: Full Time
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Use data science and machine learning principles to develop effective predictive models
 </p>
 <p>
  Write software to prepare, clean, and sample data for use in developing predictive models
 </p>
 <p>
  Use cloud resources (e.g., Amazon Web Services) to prepare and process data
 </p>
 <p>
  Query and extract data from databases (Snowflake)
 </p>
 <p>
  Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
 </p>
 <p>
  Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
 </p>
 <p>
  Solve challenging, uncharted problems
 </p>
 <p>
  Work in an environment that thrives on teamwork and continuous learning opportunities
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <p>
  Bachelor&rsquo;s degree required; degree in applied math, computer science, natural sciences or engineering preferred
 </p>
 <p>
  M.S. or Ph.D. in a related field highly desired
 </p>
 <p>
  5+ years of experience with machine learning, statistical modeling, and optimization techniques
 </p>
 <p>
  Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
 </p>
 <p>
  Proficient in linear algebra and statistics
 </p>
 <p>
  Familiar with scientific software principals, e.g. versioning systems, reproducibility
 </p>
 <p>
  Experience in the manufacturing industry is desired
 </p>
 <p>
  <br/>
 </p>
 <p>
  If interested share your updated resume to karun.mabbu@canterr.in
 </p>
</div>


Senior Data Scientist

ABCorp NA Inc.

<p></p><div><div><div><div><p>From our nation&rsquo;s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing. What began with protecting America&rsquo;s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide.</p><p>
Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 Years of Expertise &ndash; no one knows secure manufacturing and authentication better, and no one has done it longer. We maintain global reach and compliance with eight locations around the world, and we&rsquo;ve been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing.</p><p></p><h2 class="jobSectionHeader"><b><br>
The Team</b></h2><p>
 At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset.</p><p>
The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business decisions. Analytics Engineers serve as trusted advisors to stakeholders across the organization, translating complex data into actionable insights that shape our secure payment products, enterprise SaaS platforms, and digital consumer experiences. Our team owns everything from data modeling and instrumentation to metrics definition, experimentation frameworks, and self-service analytics that empower teams to make data-driven decisions at scale.</p><p>
 Learn more about ABCorp's story, products and team at abcorp.com.</p><p></p><h2 class="jobSectionHeader"><b><br>
The Role</b></h2><p>
ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve as a hybrid Data Analyst and Data Engineer, understanding the business problems to solve and building scalable data infrastructure to achieve business goals. The ideal candidate will possess strong analytical and technical skills, excellent communication abilities, and a proven track record of partnering with product and business teams to drive measurable impact through data.</p><p>
The ideal candidate will bring an intense focus on data quality and reliability, an ability to influence cross-functional stakeholders, strong product intuition paired with analytical rigor, and a passion for building scalable data models and self-service analytics capabilities. As a key partner to our Product and Engineering teams, you will help shape products that reach millions of people in their everyday lives across fintech, commercial, healthcare, and government industries worldwide.</p><p>
This is an in-person role with our team based in Boston, MA.</p><p></p><h2 class="jobSectionHeader"><b><br>
How You&rsquo;ll Make a Difference:</b></h2><ul><li>
Partner closely with Product Management, Sales, and Customer Success teams to understand their data and reporting needs, translating business questions into structured analysis, metrics, and data-driven insights.</li><li>
Build and maintain data warehouse models that serve as the source of truth for product usage, customer engagement, manufacturing efficiency, and business performance metrics.</li><li>
Design, implement, and own key performance indicators (KPIs) and metrics frameworks that measure product success, user adoption, feature utilization, and business outcomes across our payment card manufacturing, enterprise SaaS, and digital issuance products.</li><li>
Create dashboards, reports, and self-service analytics tools that enable stakeholders across Product, Sales, Customer Success, and Operations to access and act on data independently.</li><li>
Model and integrate data from multiple sources including CRM systems, product usage events, manufacturing operations, billing systems, and customer feedback to power automation, enrichment, and operational workflows.</li><li>
Collaborate with Product and Engineering teams on event instrumentation, schema design, and data collection best practices to ensure clean, reliable data capture.</li><li>
Conduct deep-dive analyses on customer behavior, feature adoption, conversion funnels, retention patterns, and operational efficiency to identify opportunities and inform product roadmap prioritization.</li><li>
Support experimentation and A/B testing initiatives by designing test frameworks, analyzing results, and communicating findings to stakeholders.</li><li>
Own data quality, observability, and governance practices including documentation, testing, and monitoring to ensure trustworthy analytics.</li><li>
Build forecasting models and contribute to strategic planning by providing data-driven projections on customer growth, revenue, and product performance.</li><li>
Identify opportunities to automate reporting, improve data pipelines, and scale analytics capabilities as the business grows.</li><li>
Serve as a trusted data partner and educator, helping teams across the organization develop stronger data literacy and make better decisions.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Who You Are</b></h2><ul><li>
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field.</li><li>
3-5+ years of experience in product analytics, data analysis, or analytics engineering roles, ideally supporting SaaS, payments, fintech, ecommerce, or enterprise software products.</li><li>
Expert-level proficiency in SQL and experience with analytical data modeling, ideally using tools like dbt, SQLMesh, or similar frameworks.</li><li>
Strong experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, and familiarity with ELT/ETL workflows.</li><li>
Proficiency with BI and visualization tools such as Tableau, Looker, Mode, Hex, or similar platforms for building dashboards and reports.</li><li>
Working knowledge of Python or R for data analysis, automation, and light data engineering tasks.</li><li>
Demonstrated ability to translate ambiguous business questions into clear analytical frameworks and actionable recommendations.</li><li>
Strong communication skills with the ability to present complex data insights to both technical and non-technical audiences.</li><li>
Experience working cross-functionally with Product, Engineering, Sales, and Customer Success teams.</li><li>
Comfort working with product analytics data including event tracking, user behavior, funnel analysis, cohort analysis, and retention metrics.</li><li>
Experience with experimentation, A/B testing, and statistical analysis is a plus.</li><li>
Familiarity with payments, card issuance, authentication, identity, fintech, or secure manufacturing domains is a plus.</li><li>
Self-starter mindset with strong ownership, attention to detail, and ability to work independently in a fast-paced, evolving environment.</li><li>
Ability to work onsite in Boston, MA.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Why Join ABCorp?</b></h2><ul><li>
Unique opportunity to build data capabilities and drive insights on a global scale.</li><li>
Ability to shape analytics for secure payment, authentication, identity and additive manufacturing products that impact people's everyday lives.</li><li>
Opportunity to work with a market leader at the intersection of fintech, security, and digital products.</li><li>
Company with rich legacy of innovation and trust.</li><li>
Incredible global team with collaborative work environment.</li><li>
Competitive salary and benefits package.</li><li>
Professional growth and development opportunities.</li></ul></div></div></div></div><p></p>

Sr. Analytics Engineer, Financial & Card Issuance

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

Red Hat

<div><div><div>Job Summary</div></div><div></div><div><div><div><div><div><div><div><div><div><div>
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. The Red Hat AI Inference Engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.</div><div></div><div>
As a Senior Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with machine learning, distributed systems, high performance computing, and cloud infrastructure will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you want to solve cutting edge problems at the intersection of deep learning, distributed systems, and cloud-native infrastructure the open-source way, this is the role for you.</div><div></div><div>
Join us in shaping the future of AI!</div><div></div><div>
What you will do</div><ul><li><div>
Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference</div></li><li><div>
Innovate in the inference domain by participating in upstream communities</div></li><li><div>
Design, develop, and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments.</div></li><li><div>
Develop and maintain system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads.</div></li><li><div>
Develop and maintain KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments.</div></li><li><div>
Enhance the resource utilization, fault tolerance, and stability of the inference stack.</div></li><li><div>
Develop and test various inference optimization algorithms.</div></li><li><div>
Actively participate in technical design discussions and propose innovative solutions to complex challenges for high impact projects</div></li><li><div>
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members</div></li><li><div>
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements</div></li><li><div>
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts</div></li><li><div>
Mentor and coach a distributed team of engineers</div></li><li><div>
Provide timely and constructive code reviews</div></li><li><div>
Represent RHAI in external engagements including industry events, customer meetings, and open source communities</div></li></ul><div><br>
</div><div>What you will bring</div><ul><li><div>
Strong proficiency in Python and GoLang or similar</div></li><li><div>
Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI.</div></li><li><div>
A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies.</div></li><li><div>
Knowledge of serving runtime technologies for hosting LLMs, such as vLLM, SGLang, TensorRT-LLM, etc.</div></li><li><div>
Excellent written and verbal communication skills, capable of interacting effectively with both technical and non-technical team members.</div></li><li><div>
Experience providing technical leadership in a global team</div></li><li><div>
Autonomous work ethic and the ability to thrive in a dynamic, fast-paced environment</div></li></ul><div><br>
</div><div>Following is considered a plus</div><ul><li><div>
Strong proficiency in Rust, C, or C++</div></li><li><div>
Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus.</div></li><li><div>
Deep experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads.</div></li><li><div>
Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry.</div></li><li><div>
Experience in writing high performance code for GPUs and deep knowledge of GPU hardware</div></li><li><div>
Strong understanding of computer architecture, parallel processing, and distributed computing concepts</div></li><li><div>
Bachelor's degree in computer science or related field is an advantage, though we prioritize hands-on experience</div></li><li><div>
Active engagement in the ML research community (publications, conference participation, or open source contributions) is a significant advantage</div></li></ul><div></div><div>
#AI-HIRING</div><div>
#LI-MD2</div></div></div></div></div></div></div></div></div></div><div></div>
The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.<div></div><div>
Pay Transparency</div><div>
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat&rsquo;s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.</div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Benefits<br>
<ul><li>Comprehensive medical, dental, and vision coverage</li><li>Flexible Spending Account - healthcare and dependent care</li><li>Health Savings Account - high deductible medical plan</li><li>Retirement 401(k) with employer match</li><li>Paid time off and holidays</li><li>Paid parental leave plans for all new parents</li><li>Leave benefits including disability, paid family medical leave, and paid military leave</li><li>Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!</li></ul></div><div></div><div>
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.</div><div></div><div>
Inclusion at Red Hat<br>
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO)<br>
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div><br>
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div></div><div>
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Senior Machine Learning Engineer, Distributed vLLM (llm-d)

PA Consulting

<div><div><p>We believe in the power of ingenuity to build a positive human future.</p><p>
As strategies, technologies, and innovation collide, we create opportunity from complexity.</p><p>
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.</p><p>
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.</p><p>
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.</p><p>
PA. Bringing Ingenuity to Life</p></div><br>
<div><div><div><div><h4 class="jobSectionHeader"><b>Job description</b></h4><p><b>
Your day to day</b></p><p>
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.</p><p>
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about both developing new capabilities and ensuring the optimization and reliability of existing data systems? Are you passionate about designing, building, and operating data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine?</p><p>
If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers.</p><p>
As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. This role provides a dynamic mix of innovative new development&mdash;enhancements, optimizations, and Proofs of Concept&mdash;alongside meaningful hands‑on ownership of production pipelines, data flows, and platform operations.</p><p>
You will contribute to system improvements while also owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.</p></div><br>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Qualifications</b></h4><p>
Qualifications</p><p>
At<b> </b>least<b> 8 years</b> of industry working experience as a data engineer</p><ul><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimization enhancements</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li><li>
Implementing data quality checks, observability, and cost/performance optimization</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li><li>
Ability to balance enhancement work with operational responsibilities in a production environment</li></ul><p><b>
Preferred qualifications</b></p><ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards)</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul><br>
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Additional information</b></h4><p>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.</p><p>
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.</p><p>
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.</p><p><b>
The salary range for this role is between $155,000k - $180,000k</b><br>
<br>
Benefits</p><ul><li><p>
Group medical insurance</p></li><li><p>
Health Savings Account with company match</p></li><li><p>
Teladoc and informed Nurse line resources</p></li><li><p>
Long term care plan</p></li><li><p>
Group dental insurance</p></li></ul><ul><li><p>
Vision plan</p></li><li><p>
401(k) Savings Plan with company profit sharing contribution</p></li><li><p>
Commuter and Parking tax-savings benefit</p></li><li><p>
15 days paid vacation days with the opportunity to buy five additional days</p></li><li><p>
10 paid Holidays plus 10 paid sick days</p></li></ul><ul><li><p>
Company and Voluntary income protection benefits</p></li><li><p>
Gym and health incentive reimbursement</p></li><li><p>
Pet and legal insurance Plans</p></li><li><p>
Employee Assistance Plan</p></li><li><p>
Annual performance-based bonus</p></li></ul><p>
#LI-JS1</p></div></div></div></div></div>

Empower

<div><div>Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.</div><div>
Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.</div><div>
Summer 2026 Intern &ndash; Software Engineer</div><div></div><div><div><div><div><div><div><div><div><div><div>
Location: Boston, MA (on-site &amp; in-person)</div><div>
Duration: 10 weeks from May 27, 2026 to July 31, 2026</div><div>
Schedule: Full-Time (40 hours/week)</div><div>
Compensation: $24.00 - $25.00 per hour (based on academic level)</div><div></div><div>
Empower is a leader in financial planning and retirement solutions, committed to helping people achieve financial freedom. We serve millions of individuals, employers, and advisors through personalized products, smart technology, and a people-first approach.</div><div></div><div>
Program Overview</div><div>
Empower&rsquo;s Summer Internship Program offers an immersive 10-week experience designed to develop rising professionals with an interest in financial services. Our interns thrive in a fast-paced, growth-oriented environment while gaining valuable insights into our business, culture, and mission.</div><div></div><div>
Each intern is paired with a dedicated manager, mentor, and executive sponsor, and will work on a meaningful summer project. This program includes:</div><ul><li><div>
Hands on-experience with real business initiatives</div></li><li><div>
Exposure to senior leadership and cross-functional teams</div></li><li><div>
Networking opportunities</div></li><li><div>
Professional and personal development workshops</div></li></ul><div></div><div>
At the conclusion of the internship, each intern presents their work to business leaders, showcasing the impact they&rsquo;ve made.</div><div></div><div>
This Software Engineer Intern will use next-gen tools and AI to improve code efficiency, documentation and tuning API's in Java/J2EE, Spring/Servlets/JSP, Web services (RESTful) and relational database in MYSQL/Oracle or PostgreSQL. The intern will prepare appropriate documentation and service catalog from systems that are supported and maintained.</div><div></div><div>
What you&rsquo;ll do</div><div>
As a Software Engineer Intern, you will:</div><ul><li><div>
Assist in designing and building small- to medium-sized development projects using both traditional coding tools and no-code/low-code platforms.</div></li><li><div>
Support front-end development tasks, contributing to UI components and learning modern frameworks and design practices.</div></li><li><div>
Work with mentors and project stakeholders to understand requirements and help translate them into simple, functional technical solutions.</div></li><li><div>
Participate in hands-on development activities, including configuring tools, testing features, documenting work, and preparing demos.</div></li><li><div>
Identify opportunities to streamline processes and propose improvements as you learn our systems and development approach.</div></li></ul><div></div><div>
Over the course of the 10-week internship, you will contribute to either a defined individual project and/or collaborative team initiatives. You are expected to deliver meaningful contributions and results, with ongoing support, guidance, and feedback from your team.</div><div></div><div>
What you bring</div><div>
We&rsquo;re seeking college students who demonstrate a balance of technical aptitude, professionalism, and curiosity. Ideal candidates will bring the following:</div><div></div><div>
Required Qualifications:</div><ul><li><div>
Currently enrolled in a college or university (Bachelor&rsquo;s or Master&rsquo;s program)</div></li><li><div>
Minimum cumulative GPA of 3.0</div></li><li><div>
Available for full 10-week program (May 27 &ndash; July 31, 2026)</div></li><li><div>
Must reside near or be able to reliably commute to Boston, MA (in-person internship)</div></li><li><div>
Hands-on experience with front-end software development tools in coursework or projects</div></li><li><div>
Experience with Microsoft Office Suite (Excel, Word, PowerPoint)</div></li><li><div>
Authorization to work in the U.S. without current or future visa sponsorship (CPT/OPT not supported)</div></li></ul><div></div><div>
Core Competencies:</div><ul><li><div>
Strong verbal and written communication skills</div></li><li><div>
Ability to work independently and within a collaborative team</div></li><li><div>
Critical thinking and problem-solving mindset</div></li><li><div>
Self-directed with a proactive approach to learning</div></li><li><div>
Professional curiosity and eagerness to explore new tools and ideas</div></li><li><div>
Demonstrated accountability and follow-through on individual or team-based goals</div></li></ul><div></div><div>
What will set you apart</div><ul><li><div>
At least 2 years of academic progress toward a bachelor&rsquo;s degree</div></li><li><div>
Expected to graduate and be available for full-time employment by mid-2027</div></li><li><div>
Preferred majors: Computer Science, Information Systems, Software Engineering, Data Analytics, or other relevant technical fields</div></li></ul><div></div><div>
Important notes</div><div>
Applications are reviewed on a rolling basis.</div><div>
High-performing interns may be considered for return offers or full-time opportunities post-graduation.</div><div></div><div>
***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***</div></div></div></div></div></div></div></div></div></div><div></div><div>
Base Salary Range</div>
$47,800.00 - $65,725.00<div></div><div>
The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.</div><div></div><div>
Equal opportunity employer <i>&bull;</i> Drug-free workplace</div><div></div><div>
We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.</div><div></div><div>
***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***</div><div>
Job Posting End Date at 12:01 am on:</div>
03-10-2026<div></div><div>
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Summer 2026 Intern- Software Engineer

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