data engineer – ai/ml data infrastructure

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data engineer – ai/ml data infrastructure Jobs in Boston

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Software Engineer, Infrastructure

Yogi Careers

<div>
 <strong>
  <strong>
   Overview:
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  </strong>
 </strong>
 <strong>
  We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
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 </strong>
 <strong>
  <strong>
   Responsibilities:
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  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
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   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
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   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
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 <br/>
 Apply for this position
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 Email *
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 Phone *
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 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
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 <br/>
 By using this form you agree with the storage and handling of your data by this website. *
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
  </li>
 </ul>
</div>


Data Engineer – AI/ML Data Infrastructure

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Senior AI Platform Engineer</b></h2>
<p>
At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.</p>
<p>
As a <b>Senior AI Platform Engineer</b>, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.</p>
<p><i>
This role is hybrid and based in Boston.</i></p>
<p><b>
How you'll make a difference:</b></p>
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
<p><b>Who You Are:</b></p>
<p><i>
We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!</i></p>
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul><br>
<p></p>
<p>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p>
<p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

Nextera Robotics

<p>Nextera Robotics is a fast-growing Physical AI company founded at MIT. We build and deploy advanced AI systems and autonomous technologies for Fortune 500 clients across construction, energy, and manufacturing.</p><p>We move fast with small, agile teams. Autonomy is the standard, not the exception. You'll take your work from idea to production and see it create real value in the field. The work is challenging, deeply technical, and seriously rewarding.</p><p>This role is built for a strong engineer with a versatile software development background and a real passion for AI, machine learning, and robotics.</p><p><b>What you'll do:</b></p><ul><li>Build and productionize advanced computer vision and multimodal AI systems for real-world industrial deployment - spanning detection, segmentation, visual understanding, and VLM/LLM-powered reasoning.</li><li>Turn large-scale visual data collected by autonomous robots into actionable insights for progress tracking, safety monitoring, and project intelligence.</li><li>Develop AI systems deployed across robotics, construction, energy, and telecommunications.</li><li>Work closely with engineers and annotators to expand and improve high-quality training datasets.</li><li>Support and scale machine learning operations (MLOps).</li><li>Build and maintain the cloud infrastructure and ML pipelines that power training, evaluation, and deployment.</li></ul><p>Required:</p><ul><li>Proven academic or industry experience building computer vision systems, including areas such as object detection, segmentation, visual understanding, or multimodal models</li><li>Strong Python skills, with the ability to build, test, and iterate quickly in a production-oriented environment</li><li>Proficiency using modern AI-assisted development tools such as coding agents, GitHub Copilot, or similar systems to accelerate implementation, debugging, and iteration</li><li>Solid problem-solving skills, strong ownership, and the ability to communicate clearly across technical and non-technical teams</li><li>Familiarity with data pipelines, model evaluation, and real-world ML workflows</li></ul><p>Good to have:</p><ul><li>Strong background in mathematics, statistics, physics, or another highly quantitative field</li><li>Experience with VLMs, LLMs, or multimodal AI systems</li><li>Familiarity with MLOps, cloud infrastructure, and training or deployment pipelines</li><li>Back-end experience with modern frameworks; Django and MySQL are a plus</li></ul><p>Working at Nextera is a great opportunity for those who love to get things done. The work is challenging, deeply technical, and incredibly rewarding - you&rsquo;ll see your models and systems make the jump from development to real-world deployment. We&rsquo;ll be very excited to learn more about you and welcome you to the Nextera Robotics team!</p><p>Competitive salary based on experience, plus great perks. Join a YC-backed startup shaping the future of Physical AI!</p><p>Pay: $130,000.00 - $210,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

AI / ML Engineer

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h2 class="jobSectionHeader"><b>
Software Engineer II - Analytics Data Engineering | AI &amp; Analytics Data Enablement</b></h2>
<p>
Location: Boston, MA</p>
<h3 class="jobSectionHeader"><b>
About the Role</b></h3>
<p>
Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won't just be moving data; you'll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.</p>
<p>
You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<ul><li><b>Build Production-Grade Foundations</b>: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.</li>
<li><b>Optimize for Enterprise Performance</b>: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.</li>
<li><b>Treat Data as a Product</b>: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.</li>
<li><b>Drive Operational Excellence</b>: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.</li>
<li><b>Partner Cross-Functionally</b>: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.</li>
<li><b>Innovate with AI</b>: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3>
<ul><li><b>The Experience:</b> 2+ years of experience in data engineering or a data-intensive software engineering role. You've moved past the &quot;beginner&quot; phase and are comfortable taking a project from a design doc to a production deployment.</li>
<li><b>Fluent in SQL and Python:</b> You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.</li>
<li><b>Distributed Systems Knowledge:</b> You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).</li>
<li><b>Modeling Intuition:</b> You understand the difference between a &quot;raw table&quot; and a &quot;semantic layer.&quot; You've worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).</li>
<li><b>Performance Minded:</b> You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.</li>
<li><b>Collaborative &amp; Curious:</b> You're an inclusive collaborator who enjoys working with Product and Data Science. You're excited to experiment with AI tools to make your own engineering workflow more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves</b></h3>
<ul><li>Experience with Iceberg table maintenance and compaction.</li>
<li>Exposure to Terraform or other Infrastructure-as-Code tools.</li>
<li>A background in Martech or SaaS platforms dealing with high-frequency event data.</li>
<li>Experience building data products that directly power customer-facing UI components and/or support AI/ML features.</li>
<li>Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.</li>
<li>Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).</li>
<li>Familiarity with statistical modeling and machine learning.</li>
</ul><div><p><i>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.</i></p>
<p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Software Engineer II - Analytics Data Engineering

America's Test Kitchen

<div><p>America's Test Kitchen is looking for a Lead Software Engineer. The Lead Software Engineer, Data and MarTech, is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs.</p>
<p>Operating with a high degree of autonomy, this individual is expected to navigate ambiguity, make sound architectural decisions, and deliver solutions that span multiple systems and stakeholders. They play a critical role in translating loosely defined product and analytics requirements into durable data platforms and pipelines that enable both operational and strategic use cases.</p>
<p>Beyond delivery, the Lead Software Engineer sets the standard for engineering excellence within the team. They influence how work is structured, how quality is measured, and how systems evolve over time. Their presence should elevate the team&rsquo;s ability to deliver predictable, high-quality outcomes while reducing operational friction and improving data trust across the organization.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design, build, and maintain scalable data pipelines and data services (batch and real-time)</li>
<li>Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases</li>
<li>Break down complex data initiatives into actionable work aligned with Scrum delivery practices</li>
<li>Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements</li>
<li>Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing</li>
<li>Implement and maintain data quality frameworks, including validation, monitoring, and alerting</li>
<li>Define and uphold SLAs/SLOs for data availability, latency, and accuracy</li>
<li>Contribute high-quality production code and conduct thorough code reviews across the team</li>
<li>Identify, surface, and mitigate technical risks that could impact delivery or system reliability</li>
<li>Drive observability across data systems using logging, metrics, and tracing tools</li>
<li>Mentor engineers and elevate team capabilities in data engineering practices</li>
<li>Influence technical direction across teams and contribute to broader platform strategy</li>
</ul><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li>7+ years of software engineering experience with a strong emphasis on data engineering</li>
<li>Proven experience designing and operating scalable data pipelines and distributed data systems</li>
<li>3+ years of experience designing data solutions on AWS</li>
<li>Proficiency in one or more programming languages such as Python, Java, or Scala</li>
<li>Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery)</li>
<li>Strong understanding of data modeling concepts, including dimensional modeling and data warehousing</li>
<li>Experience working within Agile/Scrum teams and contributing to sprint planning and execution</li>
<li>Hands on experience with real-time streaming and event-driven architectures</li>
<li>Demonstrated ability to solve complex technical problems with minimal direction</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience implementing data governance, lineage, and cataloging solutions</li>
<li>Exposure to machine learning workflows or data science collaboration</li>
<li>Prior experience leading technical initiatives or influencing multiple teams</li>
<li>Bachelor of Science in Computer Science or similar discipline</li>
</ul><h3 class="jobSectionHeader"><b>Impact</b></h3>
<p>This role is foundational to building a data-driven organization. By ensuring that data systems are reliable, scalable, and aligned to business needs, the Lead Software Engineer (Data) enables faster decision-making, more effective product development, and increased confidence in the organization&rsquo;s data assets. Their leadership directly contributes to reducing operational risk, improving data quality, and accelerating the delivery of high-impact data capabilities.</p>
<p>Location: This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote applicants.</p>
<p><b>Salary Range:</b> $ 140,000 - $ 160,000</p>
<p>The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate&rsquo;s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law.</p>
<p><b>About America&rsquo;s Test Kitchen:</b></p>
<p>The mission of America&rsquo;s Test Kitchen (ATK) is to empower and inspire confidence, community, and creativity in the kitchen. Founded in 1992, the company is the leading multimedia cooking resource serving millions of fans with TV shows (America&rsquo;s Test Kitchen, Cook's Country, and America&rsquo;s Test Kitchen: The Next Generation), award-winning magazine (Cook&rsquo;s Illustrated) and limited-edition newsstand issues, cookbooks, podcasts, FAST channels, short-form video series, and the ATK Essential Membership for digital content. Based in a state-of-the-art 15,000-square-foot test kitchen in Boston&rsquo;s Seaport District, ATK has earned the trust of home cooks and culinary experts alike thanks to its one-of-a-kind processes and best-in-class techniques. Fifty full-time (admittedly very meticulous) test cooks, editors, and product testers spend their days tweaking every variable to find the very best recipes, equipment, ingredients, and techniques. Learn more at https://www.americastestkitchen.com/.</p>
<p><b>Why America&rsquo;s Test Kitchen:</b></p>
<p>We're passionate about cooking, and about creating the best place to work. We're small enough for your ideas to make a big impact, and large enough to offer you opportunities to grow professionally at any stage of your career. We want you to take risks and make mistakes &mdash; that's how innovation happens in our test kitchen, in our offices, and in life.</p>
<p>We at America&rsquo;s Test Kitchen believe food media can be a powerful force for social change. We are passionate about building an inclusive workforce that represents many different cultures, backgrounds, abilities, identities, and perspectives.</p>
<p>We welcome your application.</p></div>

Lead Software Engineer, Data and MarTech

Infosys

<div><b>In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below:</b><br>
<ul><li>Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements
</li><li>Participate in design discussions to capture software specifications, and aid in creation of process documentation.
</li><li>Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
</li><li>Execute test plans, analyse outcomes, and report defects to the development team, to facilitate enhancement of software performance
</li><li>Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure
</li><li>Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance
</li><li>Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching team's knowledge repository</li></ul><br>
<b>
Your contribution to the team:</b><br>
<ul><li>An agile mindset with effective communication and problem-solving skills.
</li><li>The ability to work on majority of the areas as part of SDLC lifecycle
</li><li>Passion for innovating solutions that drive progress and meet future challenges.
</li><li>A proactive approach to monitoring and resolving production issues before they escalate.
</li><li>Commitment to continuous learning, knowledge sharing, and fostering team development</li></ul></div>

Cloud Engineer

Explore 147+ Software engineer infrastructure in Boston this May. Find roles across top companies and apply now to boost your career.