backend software engineer (boston) Jobs in Boston

backend software engineer (boston)

junior software engineer

lead software engineer - python | backend Jobs in Boston

lead software engineer - python | backend

senior software engineer, backend Jobs in Boston

senior software engineer, backend

software engineer

senior software engineer backend

PathAI

<div>
 Who We Are
 <br/>
 <br/>
 PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we&rsquo;re always looking to improve, in this role, those tools currently include:
 <br/>
 <br/>
 <ul>
  <li>
   Python
  </li>
  <li>
   FastAPI &amp; Django + DRF
  </li>
  <li>
   Docker
  </li>
  <li>
   AWS: EKS, S3, RDS/PostgreSQL, SQS, MSK/Kafka, MQ/RabbitMQ
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Solve interesting problems with code.
  </li>
  <li>
   Build new features for internal and external users, and refactor existing ones to make them better.
  </li>
  <li>
   Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
  </li>
  <li>
   Drive the architecture of our application platform, considering the team and our future product roadmap.
  </li>
  <li>
   Collaborate with product, design, front-end, machine learning, and infrastructure teams.
  </li>
  <li>
   Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  </li>
  <li>
   Mentor, learn, and share knowledge with others along the way.
  </li>
  <li>
   Contribute to the development of software as a medical device aiming at improving patient outcomes
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Need
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor of Science (or higher) in Computer Science or equivalent
  </li>
  <li>
   5+ years of full life cycle backend development experience, preferably in Python
  </li>
  <li>
   Experience and skills in designing and building Python-based applications using frameworks like FastAPI or Django
  </li>
  <li>
   Solid foundation in data structures, algorithms, and object-oriented design
  </li>
  <li>
   An insatiable intellectual curiosity and the ability to learn quickly in a complex space
  </li>
  <li>
   Ability to collaborate with a distributed team and work autonomously on large-scale projects
  </li>
  <li>
   Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment
  </li>
  <li>
   Experience with cloud platforms (especially AWS); familiarity with infrastructure as code is a plus
  </li>
  <li>
   Hands-on experience with CI/CD tools such as GitLab CI is a plus
  </li>
  <li>
   Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes is a plus
  </li>
  <li>
   Prior experience working in a regulated environment (e.g., healthcare, fintech, aerospace) is a plus
   <br/>
   <br/>
  </li>
 </ul>
 We Want to Hear From You
 <br/>
 <br/>
 At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
 <br/>
 <br/>
 PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications &mdash; that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
 <br/>
 <br/>
 The cash compensation outlined below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets for eligible positions. Certain roles may also qualify for overtime pay. In addition to cash compensation, some roles are eligible to participate in PathAI&rsquo;s equity plan and may receive restricted stock units (RSUs). Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
 <br/>
 <br/>
 <strong>
  Annual Pay Range
  <br/>
  <br/>
 </strong>
 $127,500 - $195,500
 <br/>
 <br/>
 Not Overtime Eligible
 <br/>
 <br/>
 Eligible for RSUs
 <br/>
 <br/>
</div>


Senior Software Engineer, Backend

Trivelta

<div><p>Trivelta builds the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch their own fully branded, legally compliant gaming products &mdash; combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.</p>
<p>
Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we're scaling rapidly and building a team passionate about redefining how people play, socialize and connect with each other.</p>
<p>
As a <b>Lead Software Engineer</b> at Trivelta you will play a pivotal role in designing, developing, and maintaining the platform's core infrastructure. As a technical leader, this individual will be responsible for driving innovation, optimizing system performance, and ensuring the scalability, security, and reliability while collaborating with cross-functional teams, including product, security, compliance, and data analytics.</p>
<p>
Key Responsibilities</p>
<ul>
<li><b>Architect &amp; Develop Backend Systems</b> &mdash; Design and implement scalable, high-performance backend solutions, ensuring robust APIs for mobile, web, and third-party integrations.</li>
<li><b>Ensure Performance, Security &amp; Compliance</b> &mdash; Optimize system performance, scalability, and reliability; implement security best practices; ensure compliance with AML, KYC, data privacy, and state-by-state sweepstakes regulations.</li>
<li><b>Manage Data Infrastructure</b> &mdash; Build and maintain data pipelines to support analytics, fraud detection, geolocation controls, and regulatory reporting.</li>
<li><b>Lead &amp; Mentor</b> &mdash; Provide technical leadership, guide engineers in best practices, and foster a culture of continuous learning and innovation.</li>
<li><b>Drive Technical Strategy</b> &mdash; Lead architectural discussions, evaluate emerging technologies in gaming/fintech/AI fraud detection, and align solutions with long-term company goals.</li>
<li><b>Collaborate Cross-Functionally</b> &mdash; Partner with product, finance, compliance, and support teams to translate requirements into technical solutions and ensure seamless operations.</li>
<li><b>Ensure Operational Resilience</b> &mdash; Lead incident response for outages or security events, implement proactive monitoring/alerting systems, and conduct root cause analysis for long-term fixes.</li>
</ul>
<p>Qualifications</p>
<ul>
<li>Proven experience designing, developing, and scaling high-performance backend systems.</li>
<li>Expert hands-on expertise in <b>Python</b> for backend development, automation, and data processing.</li>
<li>Skilled in API development, CI/CD, and infrastructure automation.</li>
<li>Demonstrated leadership in mentoring engineers and making strategic architectural decisions.</li>
<li>Excellent collaboration skills across product, finance, compliance, and support functions.</li>
<li>Experience with data pipeline design, analytics integration, and geolocation-based access controls is preferred as is having an understanding of system performance tuning, security protocols, and regulatory compliance (AML, KYC, data privacy).</li>
</ul>
<p>This position is onsite at our Boston HQ located next to South Station.</p></div>

Lead Software Engineer - Python | Backend

Lendbuzz

<div>
 At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we&rsquo;ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.
 <br/>
 <br/>
 We're looking for an experienced Software Engineer to join our Backend team. In this role, you'll help design and develop backend systems, work on system architecture, and build event-driven microservices. You'll also collaborate on API integrations and contribute to products that impact thousands of users. The ideal candidate has 3+ years of backend development experience and is skilled in PostgreSQL and microservices architecture.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain core backend services within Lendbuzz&rsquo;s microservices infrastructure in a fast-paced, high-ownership environment
  </li>
  <li>
   Drive cross-functional impact by building scalable infrastructure used horizontally across multiple product teams
  </li>
  <li>
   Build deep technical and business understanding, resisting specialization silos to stay adaptable and valuable across domains
  </li>
  <li>
   Partner with engineers to architect system frameworks for new product and platform initiatives
  </li>
  <li>
   Research, prototype, and implement tools that enhance backend service performance and reliability
  </li>
  <li>
   Upgrade and maintain microservice ecosystems, including database infrastructure and deployment workflows
  </li>
  <li>
   Design and develop internal tooling while ensuring clean integration with third-party APIs and services
  </li>
  <li>
   Contribute to the lifecycle of customer-facing products&mdash;expansion, testing, release&mdash;ensuring stability and measurable impact
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of hands-on backend development experience in production environments
  </li>
  <li>
   Bachelor's degree in Computer Science or a related technical field
  </li>
  <li>
   Familiarity with Python is a plus&mdash;especially if you&rsquo;ve shipped production code using it
  </li>
  <li>
   Strong proficiency with relational databases, particularly PostgreSQL
  </li>
  <li>
   Experience designing, building, and maintaining microservices, ideally in Dockerized environments (e.g., AWS ECS, EKS)
  </li>
  <li>
   Solid understanding of RESTful API design principles and asynchronous communication using message brokers like RabbitMQ or Kafka
  </li>
  <li>
   Proven ability to write and review technical design documents and implement scalable APIs in service-oriented architectures
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We believe:
 <br/>
 <br/>
 <strong>
  Diversity
 </strong>
 <strong>
  is a competitive advantage.
 </strong>
 We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.
 <br/>
 <br/>
 <strong>
  Compassion
 </strong>
 <strong>
  is a strength.
 </strong>
 We care about our customers and look to build long-term relationships with them.
 <br/>
 <br/>
 <strong>
  Simplicity
 </strong>
 <strong>
  is a key feature.
 </strong>
 We work hard to make our forms and processes as painless and intuitive as possible.
 <br/>
 <br/>
 <strong>
  Honesty and transparency are non negotiable.
 </strong>
 We incorporate these traits in all of our interactions.
 <br/>
 <br/>
 <strong>
  Financial opportunity belongs to everyone.
 </strong>
 We work every day to improve lives by extending this opportunity.
 <br/>
 <br/>
 If you believe these things too then we would love to hear from you!
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Backend Software Engineer (Boston)

<div><div>At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we&rsquo;ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.<br>
</div><div></div><br>
<div>We are seeking a skilled and motivated <b>Software Engineer focused on Large Language Model (LLM) applications</b> to join our Machine Learning team. In this role, you will help design, build, and optimize next-generation conversational agent technologies. You will collaborate closely with ML researchers and product teams to ship high-impact features and own key components of our conversational AI stack. This position reports to the ML Research Scientist.</div><div></div><div><b><br>
This is a hybrid position based in Boston, MA and requires 3 days onsite.</b></div>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><ul><li>
Software engineering for LLM-powered conversational agents, with an emphasis on practical implementation, reliability, and user experience</li><li>
Evaluate, fine-tune, and deploy LLM-based models and pipelines using REST APIs and internal microservices</li><li>
Implement prompt engineering, retrieval-augmented generation (RAG), tool-use pipelines, and conversation orchestration logic</li><li>
Investigate and integrate emerging technologies, particularly in real-time voice, streaming, and multi-modal interaction</li><li>
Analyze model outputs, user interactions, and system performance to drive iterative improvements</li><li>
Build and maintain high-quality datasets, including data cleaning, preprocessing, labeling workflows, and benchmarking for NLP tasks</li><li>
Own data quality, ensuring accuracy, reproducibility, and reliability across the data lifecycle</li><li>
Collaborate with ML, backend, and product teams on deployment best practices, monitoring, and scalability of LLM-based services</li><li>
Contribute to internal documentation, experimentation processes, and model evaluation frameworks</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Key Requirements:</b></h3><ul><li>
Master&rsquo;s degree in Artificial Intelligence, Computer Science, or a related technical field</li><li>
Strong programming skills in Python, with experience in ML and data tooling (e.g., PyTorch, Pandas, NumPy, Scikit-learn)</li><li>
Preferred: 2+ years of professional software engineering experience, including scripting, data processing, or backend/ML pipelines</li><li>
Experience with NLP techniques, LLMs, or machine learning fundamentals</li><li>
Strong problem-solving ability and comfort working independently in a fast-moving environment</li><li>
Preferred: Experience deploying applications or models on cloud platforms, preferably AWS</li><li>
Bonus (not required): experience with real-time systems, WebSockets/streaming, RAG pipelines, vector databases, or ML evaluation frameworks, Genesys/Twilio</li></ul><div>
We believe:</div><div></div><div><b><br>
Diversity</b> <b>is a competitive advantage.</b> We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.</div><div></div><div><b><br>
Compassion</b> <b>is a strength.</b> We care about our customers and look to build long-term relationships with them.</div><div></div><div><b><br>
Simplicity</b> <b>is a key feature.</b> We work hard to make our forms and processes as painless and intuitive as possible.</div><div></div><div><b><br>
Honesty and transparency are non negotiable.</b> We incorporate these traits in all of our interactions.</div><div></div><div><b><br>
Financial opportunity belongs to everyone. </b>We work every day to improve lives by extending this opportunity.</div><div></div><div><br>
If you believe these things too then we would love to hear from you!</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Software Engineer (Machine Learning - LLMs)

Suffolk Construction

<div>Overview:
<p><b>
About Suffolk</b></p><div><div>
Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.</div></div><div></div><div><div><br>
Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $8 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.</div></div><div></div><div><div><br>
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.</div></div><div></div><div><div><br>
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.</div></div><p></p><div><b><br>
Role</b></div><div>
Join Suffolk&rsquo;s AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers and Data Engineers, you&rsquo;ll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You&rsquo;ll focus on building secure, scalable, and high-performance AI agents using modern technologies including AWS Bedrock, and Databricks &mdash; shaping the backbone of Suffolk&rsquo;s &ldquo;Construction Site of the Future.&rdquo;</div><div></div><div><br>
The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You&rsquo;ll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed.</div>
Responsibilities:
<div><b>
AI Product Engineering &amp; Deployment</b></div><ul><li>
Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.</li><li>
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.</li><li>
Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.</li><li>
Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.</li><li>
Own full lifecycle delivery &mdash; design, development, testing, deployment, monitoring, and maintenance.</li></ul><div><b>
Full-Stack &amp; Backend Development</b></div><ul><li>
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.</li><li>
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).</li><li>
Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.</li></ul><div><b>
Data Engineering &amp; Integration</b></div><ul><li>
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.</li><li>
Ensure efficient data access, caching, and vectorization for low-latency AI response.</li><li>
Build tools to monitor and improve data quality, latency, and observability.</li></ul><div><b>
DevOps &amp; Platform Automation</b></div><ul><li>
Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments.</li><li>
Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning.</li><li>
Enforce security, governance, and access standards in line with enterprise policies.</li></ul><div><b>
Collaboration &amp; Communication</b></div><ul><li>
Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.</li><li>
Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates.</li></ul>
Qualifications:
<ul><li>4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.</li><li>
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.</li><li>
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions</li><li>
Experience training, retraining and performing transfer learning on ML models desirable.</li><li>
Bachelor&rsquo;s in Computer Science, Engineering, Physics, or a related field; Master&rsquo;s preferred.</li><li>
Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.</li><li>
Excellent collaboration and communication skills &mdash; able to work cross-functionally but not dependent on business-side facilitation.</li><li>
Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.</li></ul><div>
#LI-JG1</div>
Working Conditions:
<div>
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.</div>
EEO Statement:
<div>
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.</div>
Compensation Information:
<div>
The expected salary range for this position (AI Engineer) in Boston, MA is between $114,000 and $160,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package for employees. Actual salaries may be based on several factors including, but not limited to, an employee&rsquo;s/ candidate's skill set, experience, education and other qualifications, including budgetary objectives. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.</div></div>

AI Engineer

Verily

<div><div>Who We Are</div><div><br>
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.</div><div></div><div>
Description</div><div></div><div>
We are looking for an Android Engineer to join Verily's mobile apps team. Verily's core strategy to advance precision health is by bridging the gap between research and care. Our team is responsible for Verily&rsquo;s flagship consumer product, delivering warm, personalized experiences for users.</div><div></div><div>
Responsibilities</div><ul><li><div>
Design, implement, launch and maintain critical user-facing features in an Android app that is core to Verily&rsquo;s business, with opportunities for end-to-end and cross-platform feature development.</div></li><li><div>
Participate in code reviews, design reviews, and technical discussions.</div></li><li><div>
Collaborate extensively across engineering teams (mobile, BE, FE) and with cross-functional teams (e.g. UX, PM, Test, QE) to deliver high quality, regulated, and impactful software.</div></li><li><div>
Align with iOS engineers to ensure cross-platform consistency, and find opportunities to improve mobile developer productivity.</div></li><li><div>
Work closely with Product, UX and Quality on defining requirements, designing mocks, and implementing regulatory protocols. Help all functions understand engineering tradeoffs to ensure smooth implementation across the system.</div></li></ul><div></div><div>
Qualifications</div><div></div><div>
Minimum Qualifications</div><ul><li><div>
Strong CS fundamentals with BS Computer Science degree OR equivalent combination of experience and education.</div></li><li><div>
5+ years of experience in developing Android mobile applications in an industry setting.</div></li><li><div>
Strong communication and collaboration skills.</div></li><li><div>
Native app development experience in Kotlin.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Knowledge of modern Android frameworks and architecture (e.g. Jetpack Compose).</div></li><li><div>
Passionate about UX with a high empathy for users.</div></li><li><div>
Familiarity with automated testing.</div></li><li><div>
Some experience with full-stack development, including backend services and web frontends.</div></li><li><div>
Enthusiasm for building high-quality, public-facing Android apps. We&rsquo;d love to see your hobby project on the Play Store!</div></li></ul><div></div><div>
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.</div><div><br>
The US base salary range for this full-time position is $148,000 - $210,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by 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.</div><div></div><div><i>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.</i></div><div></div><div>
Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please <div>click here</div>. If you'd like more information on your EEO rights under the law, please<div> click here</div>.</div><div><br>
If you have a need that requires accommodation, please let us know by completing our <div>Accommodations for Applicants form</div></div></div>

Senior Android Software Engineer, Verily Me

{devlogic}

<div>
 <p>
  <strong>
   Software Engineer - (Full Stack)
  </strong>
 </p>
 <p>
  <strong>
   Boston, Massachusetts (Hybrid 2 days in Office)
  </strong>
 </p>
 <p>
  <strong>
   $130,000 - &pound;165,000
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  I&rsquo;m partnering with a stealth-mode startup working on an important problem in e-commerce. They&rsquo;re building AI-driven tools that spot and fix issues that can affect how customers use and experience online stores.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The product sits behind the scenes and quietly improves site quality without getting in the way.
 </p>
 <p>
  They&rsquo;re well-funded, have well-known brands already using the platform, and are now building out their core engineering team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a Full Stack Engineer to join the team in Boston.
 </p>
 <p>
  You&rsquo;ll work closely with the CTO and Founder on tough engineering problems, help shape new features, and play a big part in how the product evolves.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this role might interest you
  </strong>
 </p>
 <p>
  &bull; Real ownership and influence on product decisions.
 </p>
 <p>
  &bull; Proper deep engineering work with AI systems, not basic wrappers.
 </p>
 <p>
  &bull; Early team, strong backing, and fast-paced environment.
 </p>
 <p>
  &bull; A small group of people who care about clean engineering and doing things properly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You might be a good fit if you
  </strong>
 </p>
 <p>
  &bull; Have 3+ years as a full stack engineer.
 </p>
 <p>
  &bull; Are strong with TypeScript and React.
 </p>
 <p>
  &bull; Have solid CS fundamentals and enjoy solving tricky problems.
 </p>
 <p>
  &bull; Have played with LLMs or AI tools, even through side projects.
 </p>
</div>


Software Engineer

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