platform engineer

DS Technologies Inc

<div><div><div><b>About US: </b>We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.</div>
<div></div>
<div>DS Technologies Inc is looking for <b>Senior Platform Engineer </b>role<b> </b>for one of our premier clients.<br>
</div><div><b>Job Title: Senior Platform Engineer</b></div>
<div><b>Location: Sunrise, FL (Onsite)</b><br>
<b>Position Type: Contract</b><br>
<b>Only W2</b><br>
</div><div><b>Job Description:</b><br>
</div><div>We are seeking an experienced <b>Senior Platform Engineer</b> with strong expertise in backend engineering, platform scalability, and DevOps automation. The ideal candidate will excel in building platform-level systems, distributed microservices, developer productivity tools, and serverless architectures across modern cloud ecosystems.<br>
</div><div>This role requires deep technical skills in <b>JavaScript/TypeScript</b>, <b>Node.js</b>, <b>CI/CD</b>, <b>cloud serverless functions</b>, and <b>platform observability</b>.<br>
</div><div><b>Key Responsibilities:</b><br>
</div><ul><li>Design, develop, and maintain scalable <b>platform-level backend systems</b> and microservices.</li>
<li>Build APIs and backend services using <b>Node.js</b> with frameworks like <b>Fastify</b> or <b>Express</b>.</li>
<li>Architect and implement <b>serverless solutions</b> using <b>AWS Lambda</b>, <b>Azure Functions</b>, or similar platforms.</li>
<li>Develop robust <b>CI/CD pipelines</b> using <b>GitHub Actions and GitHub Workflows</b>.</li>
<li>Implement <b>authentication, authorization</b>, and other security best practices for backend systems.</li>
<li>Design and maintain <b>REST APIs</b> following modern API design principles.</li>
<li>Work on <b>observability and telemetry</b>, integrating tools such as OpenTelemetry, Datadog, Prometheus, or Grafana.</li>
<li>Build scalable <b>API gateways</b>, implement <b>rate-limiting</b>, and manage service orchestration.</li>
<li>Collaborate with engineering teams to enhance developer productivity and internal platform reliability.</li>
</ul><div><b>Required Skills:</b><br>
</div><ul><li>Deep expertise in <b>JavaScript</b>, <b>TypeScript</b>, and <b>Node.js</b>.</li>
<li>Strong experience with backend frameworks like <b>Fastify</b> or <b>Express</b>.</li>
<li>Proven background in <b>microservices architecture</b> and distributed systems.</li>
<li>Hands-on experience building <b>CI/CD</b> using <b>GitHub Actions</b>.</li>
<li>Strong knowledge of <b>serverless architectures</b> (AWS Lambda, Azure Functions).</li>
<li>Expertise in designing <b>RESTful APIs</b>.</li>
<li>Strong understanding of backend <b>security best practices</b> (auth, IAM, data protection).</li>
<li>Experience with observability/monitoring tools:<br>
<br>
OpenTelemetry, Datadog, Prometheus, Grafana.</li>
<li>Experience scaling platform systems, implementing <b>API gateways</b>, <b>rate limiting</b>, <b>service orchestration</b>.</li>
</ul><div><b>Bonus / Preferred Skills:</b><br>
</div>Understanding of AI platform concepts like:<br>
<ul><li>
<ul>
<li><b>Model Context Protocol (MCP)</b></li>
<li><b>Retrieval-Augmented Generation (RAG)</b></li>
</ul></li><li>Experience with <b>Docker</b>, <b>Kubernetes</b>, and container orchestration.</li>
<li>Familiarity with <b>Terraform</b> or other Infrastructure-as-Code tools.</li>
<li>Experience in developer platform engineering or internal developer tools.</li></ul></div></div>

Senior Platform Engineer

Primerica

<div><div>Join Our Team</div><div></div><div>
In 2025, USA Today recognized Primerica as a Top Workplace USA for the fifth year in a row, and Newsweek named Primerica one of America&rsquo;s Greatest Workplaces for Diversity for the second consecutive year. In 2024, the Atlanta Journal-Constitution named Primerica as a Top Workplace for the eleventh consecutive year, and Forbes recognized Primerica as one of America&rsquo;s Best Employers for Women for the fifth year in a row. In addition, for the tenth time Primerica has been voted a Best Employer by Gwinnett Magazine. Primerica is a great place to work! Join our team to experience what it&rsquo;s like to work at &ldquo;one of the best places to work in the metro Atlanta&rdquo;.</div><div></div><div>
About this Position</div><div></div>
The Data Platform Engineer is responsible for designing, building, and operating scalable, secure, and reliable data platform infrastructure that supports modern data and analytics workloads. This role works within the Cloud Engineering organization to enable data modernization efforts by developing automated, cloud-aligned data platform capabilities that support application teams, analytics initiatives, and enterprise data services. The position focuses on improving the reliability, observability, performance, and operational efficiency of data platforms while ensuring strong security, governance, and integration with existing infrastructure and DevOps practices. The Data Platform Engineer collaborates closely with cloud engineers, application teams, and data stakeholders to deliver resilient data platform services that support the organization&rsquo;s growing demand for modern data capabilities.<div></div><div>
Responsibilities &amp; Qualifications</div><div></div><div>
The role of a Data Platform Engineer is a senior-level position that bridges the gap between traditional infrastructure engineering and data engineering, combining deep technical knowledge of distributed systems and cloud technologies with an understanding of data, analytics, and machine learning workflows and requirements. They design, build, and manage the data and analytics ecosystem ensuring it is reliable, scalable, secure, and cost effective, enabling analysts, data scientists, and engineers to work efficiently with organizational data assets. Their responsibilities typically include:</div><div></div><ul><li>
Collaboration and Enablement: Serve as technical advisor for data team members across the organization, providing guidance on data ecosystem capabilities and best practices. Create documentation and provide self-service tools and platforms that empower data engineers, domain experts, and data scientists to work more independently. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Collaborate with software engineers to integrate data platforms and machine learning models with applications.<br>
</li><li>
Infrastructure Architecture and Design: Lead the design and architecture of comprehensive data infrastructure solutions that meet current needs while anticipating future growth. Evaluate and select appropriate tools and platforms for data exploration, processing, and storage, analytics and machine learning model development, dashboarding, and predictive model inference. Ensure infrastructure scalability while designing for high availability and disaster recovery.<br>
</li><li>
Data Pipeline Management: Collaborate with stakeholders to design and build data pipelines using modern data engineering tools and frameworks that enable DevOps principles to be applied to the data lifecycle.<br>
</li><li>
Data Infrastructure and Platform Management: Build and configure distributed cloud-based infrastructure and platforms for data storage, exploration, and processing, machine learning model development, training, and serving. This includes data lakes and platforms such as AWS Sagemaker. Build and manage infrastructure for business intelligence platforms such as Power BI and Tableau. Develop infrastructure as code solutions to ensure reproducible and version-controlled infrastructure deployments.<br>
</li><li>
Data Quality and Governance: Work with stakeholders to establish data quality frameworks and automated data validation processes. Build and manage data cataloguing and metadata management systems. Design and implement data governance policies and procedures. Ensure data security, privacy and compliance with relevant regulations.<br>
</li><li>
Monitoring and Performance Optimization: Implement advanced monitoring and observability solutions to track the performance and health of infrastructure and data pipelines. Analyze system metrics, logs, and alerts to identify platform issues and performance bottlenecks. Implement measures to prevent recurrence and optimize resource utilization.<br>
</li><li>
Cost Management and Optimization: Implement cloud architecture best practices to build cost effective solutions. Analyze usage patterns and costs, identifying opportunities for optimization through reserved instances, spot instances, or architectural changes.<br>
</li><li>
Incident Response and Problem Resolution: Provide technical expertise in troubleshooting and resolving complex incidents and problems related to infrastructure and data or analytics pipeline issues. Conduct root cause analysis, implementing preventive measures, and driving process improvements.<br>
</li><li>
Technology Evaluation and Innovation: Stay current with evolving data technologies and continuously evaluate new tools, frameworks, and services that could enhance the organization&rsquo;s data capabilities. Undertake proof of concept projects, benchmarking performance, and assessing total cost of ownership, accounting for tradeoffs and value of technology adoption.</li></ul><div></div><div>
The role of Data Platform Engineer represents a critical intersection of infrastructure engineering, data management, and business enablement. It is essential to the organization&rsquo;s data strategy and success, supporting all data-intensive operations and data-driven initiatives along with the insights and business value they bring.</div><div></div><div>
Education</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.</li><li>
Advanced degree in Computer Science, Data Engineering, or related field preferred.</li></ul><div><br>
Experience</div><ul><li>
5&ndash;8+ years of experience in infrastructure engineering, cloud engineering, data engineering, or platform engineering roles.</li><li>
Proven experience designing and operating scalable data platforms and distributed systems in enterprise environments.</li><li>
Experience supporting analytics, data science, or machine learning workloads in production environments.</li><li>
Demonstrated experience implementing Infrastructure as Code and automation for platform provisioning and operations.</li></ul><div><br>
Technical Knowledge and Skills</div><ul><li>
Strong understanding of distributed systems, data platform architectures, and modern cloud-based infrastructure.</li><li>
Experience with cloud platforms and services used for data processing and analytics (e.g., AWS, Azure, or Google Cloud).</li><li>
Proficiency in building and maintaining data pipelines using modern data engineering frameworks and tools.</li><li>
Experience with containerized environments and orchestration platforms (e.g., Kubernetes) and modern DevOps practices.</li><li>
Knowledge of data storage technologies including relational databases, data lakes, and distributed data platforms.</li><li>
Experience with monitoring, observability, and performance optimization for data infrastructure and pipelines.</li><li>
Familiarity with infrastructure automation tools and scripting languages (e.g., Terraform, Ansible, Python, or similar).</li><li>
Understanding of data governance, security, privacy, and compliance considerations for enterprise data environments.</li></ul><div><br>
Professional Skills</div><ul><li>
Ability to translate business and analytics requirements into scalable technical platform solutions.</li><li>
Strong troubleshooting and problem-solving skills in complex, distributed systems environments.</li><li>
Ability to collaborate effectively with cloud engineers, software engineers, data engineers, analysts, and business stakeholders.</li><li>
Strong documentation, communication, and technical advisory skills.</li></ul><div><br>
Preferred Qualifications</div><ul><li>
Experience supporting enterprise analytics or machine learning platforms.</li><li>
Experience implementing data governance frameworks and metadata management solutions.</li><li>
Familiarity with business intelligence platforms and enterprise data visualization tools.</li><li>
Experience optimizing cloud infrastructure costs for large-scale data workloads.</li></ul><div><br>
The salary range for this role is $160k - $180K.</div><div></div><div>
FLSA status:<br>
This position is exempt (not eligible for overtime pay):</div>
Yes<div></div><div>
Our Benefits:</div><ul><li><div>
Day one health, dental, and vision insurance</div></li><li><div>
401(k) Plan with competitive employer match</div></li><li><div>
Vacation, sick, holiday and volunteer time off</div></li><li><div>
Life and disability insurance</div></li><li><div>
Flexible Spending Account &amp; Health Savings Account</div></li><li><div>
Professional development</div></li><li><div>
Tuition reimbursement</div></li><li><div>
Company-sponsored social and philanthropy events</div></li></ul><div></div><div>
It has been and will continue to be the policy of Primerica, Inc., and its subsidiaries to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, sex, color, religious creed, religion, national origin, citizenship status, age, disability, pregnancy, ancestry, military service or veteran status, genetic or carrier status, marital status, sexual orientation, or any classification protected by applicable federal, state or local laws.</div><div></div><div>
At Primerica, we believe that diversity and inclusion are critical to our future and our mission &ndash; creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.</div></div>

Data Platform Engineer

Treeswift

<div><p><b>About Treeswift:</b></p><p>
In the face of rising threats like severe storms and wildfires, increasing pressure on affordability, and unprecedented demands for system expansion, Treeswift empowers energy companies to modernize their field work to meet the unprecedented growth and challenges ahead.<br>
<br>
To accomplish our mission we deploy our sensors into our customers' field operations, typically on backpacks or vehicles. The resulting trove of LiDAR and imagery data is processed through our AI models to deliver actionable analytics through our web platform. To date, our technology has enabled utilities to reduce wildfire, regulatory and outage risk from vegetation, avoid delays and cost overruns in new construction, and accelerate recovery from severe storms.<br>
<br>
After starting our work with utilities in June 2024, we are now working with three of the five largest utilities in the United States and are rapidly expanding across new customers and use cases. To tackle this challenge we are bringing together a team of mission-driven experts with deep industry experience in robotics (Penn, Caltech, CMU) and enterprise software development (Palantir, Stripe, Oracle, MongoDB). We have raised funding from leading investors including Penny Pritzker&rsquo;s Inspired Capital.<br>
<br>
Treeswift is headquartered in lower Manhattan, and maintains an office in Philadelphia. We also have some customer-facing team members based closer to our customer sites (i.e. Bay Area).<br>
<br>
We hope you join us on this journey!</p><p><b>
About the role</b></p><p>
You are a skilled and motivated Data Platform Engineer. You will:</p><ul><li><p><b>
Design, build, and maintain data pipelines at scale.</b> We run Apache Airflow 3 on Astronomer with pipelines that process terabytes of real-world physical data across many file types&mdash;imagery, audio, point clouds, and more. You will develop and evolve DAGs that orchestrate complex, multi-step workflows: dozens of tasks, fan out/in in pipelines, Python and Kubernetes operators split across generalized and specialized node pools, and dynamic DAG generation. You will work closely with our in-house ML team (feature pipelines and model deployment live in these DAGs) and coordinate with our hardware team on ingestion and formats. Scope is a mix of pipeline development and platform ownership and we are happy to adjust the scope and balance of responsibilities based on your interests and strengths.</p></li><li><p><b>
Help us scale and harden our data platform.</b> We have one dedicated data engineer today; you will be the second. The broader engineering team is highly collaborative and you will work with members of the full-stack and machine learning teams. We are looking for someone to improve DAG design and execution, resource and cost tuning, reliability and observability, and contribute to how we run Airflow and Kubernetes in the cloud. If you enjoy writing pipelines and improving the platform that runs them, this role has room for both.</p></li><li><p><b>
Stay curious, collaborative, and cross-functional.</b> We are a small team where many people wear multiple hats. You will work alongside ML engineers, hardware engineers, and software engineers. Turning a technically complex set of requirements from a critical industry into a rich data set is at the center of what we do. We take pride in managing complexity and providing high-fidelity data that our customers can use to make better-informed decisions.</p></li><li><p><b>
Be an owner at Treeswift; make the company better in whatever form that takes.</b> We value the full picture you bring&mdash;whether that&rsquo;s deep expertise in orchestration, a knack for debugging at scale, or hidden talents outside work. We launched our platform last fall and have only scratched the surface of what&rsquo;s possible in terms of finding ways to add value for our customer. You will partner closely with some of the largest utilities in the country and contribute to efforts to develop new workflows in work planning, construction and disaster response.</p></li></ul><p>
This is a full-time, hybrid role based out of our Lower Manhattan, NYC office (2 days per week in person, currently pinned to Tuesdays and Wednesdays).</p><p><b>
Required skills</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Math, or a related field (or equivalent experience).</p></li><li><p>
4+ years of data engineering or backend engineering experience with a focus on pipelines, orchestration, or platform.</p></li><li><p>
Hands-on experience building and maintaining production data pipelines (e.g. Airflow, Prefect, Luigi, or similar). We use Python for our pipeline environment, machine learning, and developer tooling; we don&rsquo;t require Python expertise and are happy for you to learn on the job.</p></li><li><p>
Experience with cloud object storage and data-at-scale (we use AWS and S3; cloud experience is required, but prior AWS experience is not).</p></li><li><p>
Comfort with Kubernetes and container-based deployments in practice: running workloads on K8s, resource and volume configuration, and debugging pod/worker issues.</p></li><li><p>
Ability to own work end-to-end: design, implement, test, and operate pipelines and related tooling. You are comfortable picking up new parts of the stack when needed.</p></li><li><p>
Strong collaboration and communication; you work well with ML, hardware, and product stakeholders and can explain tradeoffs clearly.</p></li></ul><p><b>
Nice-to-haves</b></p><ul><li><p>
Experience in early-stage or fast-moving environments where scope and ownership evolve.</p></li><li><p>
Experience with Apache Airflow (especially 3.x) and/or Astronomer.</p></li><li><p>
Experience with geospatial data, imagery, lidar, or point clouds.</p></li><li><p>
Interest in utilities, forestry, or field operations and how data pipelines support those domains.</p></li></ul><p><b>
Salary</b></p><p>
The estimated salary range for this position is 160,000 - 200,000 USD. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.</p><p>
Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.</p><p>
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.</p></div>

Nexus Cognitive Technologies

<div>Description:
<p>
As we continue our journey, we are building a team of sharp, intelligent innovators who can move fast with great agility and passion. We are currently searching for a Hands-on Data Platform Engineer to join our high-performing product and fulfillment center of excellence in Pune,India. As a Lead Network and Security Engineer, you will play a crucial role in providing technical support, resolving complex issues, and maintaining the stability and security of our customers' environments. If you are passionate about AWS/Azure networking, Palo Alto firewall/router technologies, and thrive in a fast-paced environment, this opportunity is for you. The ideal candidate will be a proactive problem solver with strong technical skills and meticulous attention to detail. This person will be intellectually curious with a relentless desire to learn the latest modern data architecture platforms and patterns.</p><p><b>
What You'll do:</b></p><ul><li>
Manage daily operations of Nexusone products on on-premise and cloud based technologies using open-source Linux-based data technologies.</li><li>
Install, configure, and support CDP clusters in both cloud (AWS, Azure, GCP) and on-premises environments, ensuring seamless integration and functionality.</li><li>
Maintain, patch, and upgrade existing CDP setups, ensuring minimal downtime and adherence to Cloudera&rsquo;s best practices.</li><li>
Evaluate and optimize complex distributed production deployments, identifying bottlenecks and recommending performance enhancements.</li><li>
Configure and manage security using tools like Ranger and Kerberos, ensuring robust data protection and compliance.</li><li>
Configure Datadog and develop integrations to monitor and alert operations teams
</li><li>Develop and maintain technical documentation, including administration runbooks and knowledge base articles, to support operational excellence and knowledge sharing.</li><li>
Work in an agile team and Participate in an on-call rotation, providing expert-level support and troubleshooting for critical issues.</li><li>
Lead and mentor junior team members, fostering a culture of continuous learning and improvement. Collaborate with cross-functional teams, including data engineers, solution architects, and DevOps, to design and implement scalable data solutions.</li><li>
Stay current with emerging technologies and industry trends, applying this knowledge to improve the CDP environment and drive innovation.</li></ul>
Requirements:
<p><b>
Who you are:</b></p><ul><li>
In-depth understanding of both on-premise and cloud network architectures, ensuring seamless integration and efficient data flow.</li><li>
Minimum of 5 years of experience in installing and administering the Cloudera Data Platform (CDP), with a proven track record of managing large-scale deployments.</li><li>
Hands-on experience with open-source Linux-based data technologies, including Iceberg, Spark, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, and Kafka.</li><li>
Proven ability to build and support solutions across major cloud platforms (AWS, Azure, GCP), leveraging cloud-native tools and open source for optimal performance.</li><li>
Strong Cloudera expertise, with a deep understanding of Spark and Airflow for orchestrating complex data workflows.</li><li>
Experience integrating Azure Active Directory with FreeIPA and other directory services such as LDAP, enhancing security and user management.</li><li>
Up-to-date knowledge of the Hadoop Big Data ecosystem, staying current with the latest technologies and best practices.</li><li>
Excellent troubleshooting skills, with a thorough understanding of CDP capacity planning, identifying bottlenecks, and optimizing memory utilization, CPU usage, OS performance, storage, and network configurations.</li><li>
Strong analytical and problem-solving abilities, capable of diagnosing and resolving complex technical issues efficiently.</li></ul><p><b>
Nice to have:</b> Cloudera Certified Administrator certifications is a plus. Prior experience as a support or development engineer with a focus on Data, Analytics, and AI. If you meet the above qualifications and are excited to join a dynamic team of professionals in a fast-paced environment, we would love to hear from you. Join us at Nexus Cognitive and become a part of our dynamic and innovative team that is dedicated to transforming how businesses utilize and derive value from their data. Take the next step in your career and unlock endless possibilities.</p></div>

Schrödinger

<div><div><p>Schr&ouml;dinger seeks a <b>Machine Learning (ML) Platform Engineer </b>to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!</p>
<p>
As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.</p>
<p><b>
Who will love this job:</b></p>
<ul>
<li>A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production</li>
<li>An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn</li>
<li>An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems</li>
<li>A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration</li>
</ul>
<p><b>What you'll do:</b></p>
<ul>
<li>Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows</li>
<li>Build and maintain production systems that enable scientists to run large-scale ML workloads</li>
<li>Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools</li>
<li>Contribute to backend services and APIs supporting ML workflows and platform features</li>
<li>Improve developer workflows, testing infrastructure, and deployment automation</li>
<li>Participate in code reviews and contribute to engineering best practices across the team</li>
<li>Pitch in on frontend components of the ML platform web interface when needed</li>
</ul>
<p><b>What you should have:</b></p>
<ul>
<li>BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field</li>
</ul>
<p><b>Experience with the following is nice to have, but not required:</b></p>
<ul>
<li>Cloud platforms like AWS or GCP</li>
<li>Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)</li>
<li>CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)</li>
<li>Monitoring, logging, or observability systems</li>
<li>Distributed computing or large-scale ML workloads</li>
<li>ML training pipelines or experiment management</li>
<li>Data processing pipelines or large-scale data analysis</li>
<li>Source control systems (Git or similar)</li>
<li>Web application development (e.g., React, TypeScript, REST APIs)</li>
<li>Interest in scientific computing, chemistry, biology, physics, or related domains</li>
</ul>
</div><div></div><div><b>Pay and perks:</b></div>
<div><div>Schr&ouml;dinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schr&ouml;dinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.</div>
<div></div>
<div>Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.</div>
</div>
<div></div><div>Sound exciting? Apply today and join us!</div>
<div></div>
<div><i>As an equal opportunity employer, Schr&ouml;dinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, &quot;diversity&quot; isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.</i></div></div>

Machine Learning Platform Engineer

Allegion

<div><div>Creating Peace of Mind by Pioneering Safety and Security</div><div></div><div><i>
At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and </i><i>beyond. Additionally,</i><i> in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world.</i></div><div></div><div>
Senior Data Platform Engineer</div><div></div><div>
This position serves as the senior technical expert for Data Hub processes within the Global Data &amp; Analytics Team, owning the design and implementation of data ingestion, transformation, and transmission workflows for the Operational Data Hub. The Senior Data Platform Engineer is the go-to authority for Data Hub architecture and processes, while actively contributing technical expertise to enterprise data structure design in partnership with the Data Architect. This role mentors mid-level engineers, collaborates with Lead Engineers and cross-functional stakeholders, and balances deep technical expertise (80%) with informal leadership and mentorship (20%).</div><div></div><div><i>
Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.</i></div><div></div><div>
What You Will Do:</div><ul><li>
Own and architect Data Hub processes and workflows, including data ingestion pipelines, transformation logic, transmission patterns, and integration orchestration.</li><li>
Design and implement sophisticated data pipeline architectures from various ERP and source systems, establishing patterns and best practices for the Data Hub.</li><li>
Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements.</li><li>
Define Data Hub technical standards and patterns for pipeline development, error handling, monitoring, and operational workflows.</li><li>
Collaborate with the Data Architect to ensure alignment between Data Hub processes and enterprise data models, providing input on how data structures impact processing efficiency.</li><li>
Lead technical design sessions for Data Hub initiatives, making architectural decisions on ingestion patterns, transformation approaches, and integration strategies.</li><li>
Contribute technical expertise to data structure discussions, advising on pipeline performance implications, transformation complexity, and operational considerations.</li><li>
Provide technical mentorship to mid-level Data Platform Engineers on Data Hub architecture, patterns, and implementation best practices.</li><li>
Drive complex problem-solving for Data Hub operational issues, including performance optimization, pipeline troubleshooting, and root cause analysis.</li><li>
Implement advanced transformation and enrichment frameworks that leverage enterprise data structures designed by the Data Architect.</li><li>
Own end-to-end architecture of Data Hub components, including serverless compute, orchestration, monitoring, and operational tooling.</li><li>
Evaluate and prototype emerging technologies for Data Hub capabilities, providing recommendations on tools and platforms for data processing.</li><li>
Establish data quality frameworks for Data Hub processes, implementing validation, testing, and monitoring strategies in collaboration with the Data Architect.</li><li>
Design and implement Data Hub governance controls, including security, compliance, and operational best practices for data processing workflows.</li><li>
Optimize Data Hub performance and cloud resource utilization, identifying opportunities for efficiency improvements and cost savings.</li><li>
Document Data Hub architectures and technical patterns comprehensively, creating runbooks, design guides, and knowledge base articles.</li><li>
Participate in on-call rotation for Data Hub production support, leading incident resolution and conducting technical post-mortems.</li></ul><div></div><div>
What You Need to Succeed:</div><div></div><ul><li>
5-7 years of experience designing and implementing data hub solutions, operational data platforms, or similar data processing architectures.</li><li>
Expert-level experience owning data pipeline architectures, including event-driven patterns, real-time processing, and batch workflows.</li><li>
Advanced expertise architecting serverless solutions with Azure Function Apps or equivalent compute services for data processing at scale.</li><li>
Deep experience with data hub processes including ingestion patterns, transformation frameworks, orchestration, and operational monitoring.</li><li>
Advanced experience designing and optimizing Azure SQL Databases or similar platforms for operational data storage within hub architectures.</li><li>
Expert SQL skills with proven ability to optimize queries, design efficient processing logic, and contribute to data modeling discussions.</li><li>
Strong understanding of enterprise data architecture principles, with ability to contribute technical expertise to data structure and modeling decisions.</li><li>
Proven ability to collaborate with Data Architects, providing Data Hub process perspective on data structure designs and enterprise models.</li><li>
Demonstrated expertise in data integration patterns involving ERP systems, APIs, and enterprise application data flows.</li><li>
Experience with Azure Data Lake, Azure Synapse Analytics, or similar platforms, understanding how Data Hub processes interact with enterprise data layers.</li><li>
Proven track record of owning complex Data Hub architectures and delivering technical solutions independently.</li><li>
Strong mentorship capabilities with experience guiding engineers on Data Hub patterns, pipeline development, and operational best practices.</li><li>
Excellent problem-solving skills for Data Hub operational challenges, including performance tuning, troubleshooting, and reliability improvements.</li><li>
Experience with CI/CD pipelines and Infrastructure as Code for automating Data Hub deployments and configuration management.</li><li>
Strong understanding of data security and compliance requirements, implementing controls within Data Hub processes.</li><li>
Excellent technical communication skills to collaborate with Data Architects, document architectures, and explain Data Hub technical tradeoffs.</li><li>
Experience contributing to architectural discussions across data structures and processes, providing balanced technical perspectives.</li><li>
Self-motivated with strong organizational skills, able to own Data Hub initiatives while contributing to broader architectural decisions.</li><li>
Deep experience with DataOps/DevOps practices, including monitoring, logging, observability, and operational excellence for data systems.</li><li>
Knowledge of cloud cost optimization for data processing workloads and efficient resource utilization.</li><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or related technical discipline, or equivalent practical experience.</li></ul><div></div><div>
Why Work for Us?</div><div>
Allegion is a Great Place to Grow your Career if:</div><ul><li>
You're seeking a rewarding opportunity that allows you to truly help others. With thousands of employees and customers around the world, there&rsquo;s plenty of room to make an impact. As our values state, &ldquo;this is your business, run with it&rdquo;.</li><li>
You&rsquo;re looking for a company that will invest in your professional development. As we grow, we want you to grow with us.</li><li>
You want a culture that promotes work-life balance. Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!</li><li>
You want to work for an award-winning company that invests in its people. Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.</li></ul><div></div><div>
What You&rsquo;ll Get from Us:</div><ul><li>
Health, dental and vision insurance coverage, helping you &ldquo;be safe, be healthy&rdquo;.</li><li>
A commitment to your future with a 401K plan, offering a 6% company match and no vesting period</li><li>
Tuition Reimbursement</li><li>
Unlimited PTO</li><li>
Employee Discounts through <i>Perks at Work</i></li><li>
Community involvement and opportunities to give back so you can &ldquo;serve others, not yourself&rdquo;</li><li>
Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching</li></ul><div></div><div>
Apply Today!</div><div></div><div>
Join our team of experts today and help us make tomorrow&rsquo;s world a safer place!</div><div></div><div><i>
Not sure if your experience perfectly aligns with the role?</i><i> Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification </i><i>and</i><i> every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role.</i></div><div>
We Celebrate Who We Are!</div><div>
Allegion is committed to building and maintaining a diverse and inclusive workplace. Together, we embrace all differences and similarities among colleagues, as well as the differences and similarities within the relationships that we foster with customers, suppliers and the communities where we live and work. Whatever your background, experience, race, color, national origin, religion, age, gender, gender identity, disability status, sexual orientation, protected veteran status, or any other characteristic protected by law, we will make sure that you have every opportunity to impress us in your application and the opportunity to give your best at work, not because we&rsquo;re required to, but because it&rsquo;s the right thing to do. We are also committed to providing accommodations for persons with disabilities. If for any reason you cannot apply through our career site and require an accommodation or assistance, please <div>contact our Talent Acquisition Team</div>.</div><div></div><div>
&copy; Allegion plc, 2023 | Block D, Iveagh Court, Harcourt Road, Dublin 2, Co. Dublin, Ireland</div><div>
REGISTERED IN IRELAND WITH LIMITED LIABILITY REGISTERED NUMBER 527370</div><div>
Allegion is an <div>equal opportunity and affirmative action employer</div></div></div><div></div>

Senior Data Platform Engineer

Waters

<div>Overview:
<div>
Our <b>Transformation</b> team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise processes, and the technology and analytics supporting these.</div><div>
We are seeking a <b>Senior Celonis platform Engineer</b> to join our Process Intelligence team and the broader Data Engineering community within the Center for Process Excellence. This role is responsible for owning Celonis platform for designing and delivering <b>scalable data solutions, intelligent automations, and AI-enabled solutions</b> that drive measurable business performance improvements.</div><div>
In this hands-on, technical role, you will build and maintain <b>data pipelines, analytical applications, and automation solutions</b> that power digital scorecards, KPIs, OKRs, and process insights (e.g., on platforms such as Celonis). You will work closely with business stakeholders, data engineers, process analysts, and automation specialists to translate business needs into robust, future-ready solutions.</div><br>
<div></div>
Responsibilities:
<ul><li>Partner with global stakeholders and cross-functional teams to <b>translate business requirements </b>into scalable data and automation solutions.</li><li><b>
Design, build, and customize</b> Celonis data models, analytical apps, dashboards, and automations to drive actionable insights.</li><li>
Architect and implement <b>end-to-end data pipelines</b> integrating enterprise systems (e.g., SAP, Salesforce, ServiceNow) with Celonis.</li><li>
Develop <b>data-driven and AI-enabled automation</b> workflows and integrations to reduce manual effort and improve efficiency.</li><li>
Optimize, monitor, and continuously improve <b>large-scale data and automation platforms</b> for performance, scalability, and reliability.</li><li>
Provide <b>production support, troubleshooting, and maintain clear technical documentation</b> for solutions and architectures.</li><li>
Own the platform and be accountable for its stability, security, and scalability.
</li><li><b>Mentor</b> junior engineers, establish best practices, and contribute to process intelligence, automation, and AI strategy.</li></ul>
Qualifications:
<ul><li><b>5&ndash;7+ years of proven experience</b> in data engineering, process intelligence, automation engineering, software development, analytics, or related technical roles.</li><li>
Hands-on expertise with <b>Celonis</b> (or similar platforms), including data engineering, process mining, analytics, app development, and automation/orchestration (Action Flows, MLWB, etc.).</li><li>
Strong <b>programming and data engineering skills</b> (Python, SQL) with experience in data modeling, warehousing, governance, APIs, databases, and distributed systems.</li><li>
Proven ability to <b>design and deploy end-to-end automation solutions, i</b>ncluding data-driven, rule-based, and AI-enabled automations.</li><li>
Experience <b>integrating data and automation solutions</b> with enterprise systems such as SAP, Salesforce, ServiceNow, SuccessFactors, CRM, and HR platforms; familiarity with cloud platforms (e.g., Azure) is a plus.</li><li>
Strong <b>understanding of business processes</b>, process modeling, and process mining, with a track record of delivering scalable solutions in global, cross-functional, Agile environments <b>(DevOps/CI/CD and Git knowledge preferred)</b>.</li><li>
Excellent analytical, problem-solving, and communication skills, a results-oriented mindset, and a Bachelor&rsquo;s degree in a relevant field (Master&rsquo;s degree or certifications such as Celonis, RPA, Scrum are a plus)</li></ul><br>
<div></div>
Company Description:
<div>
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.</div><div></div><div><i><br>
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.</i></div>
Key Words: #LI-Hybrid Celonis, Senior Data Engineer, Process Intelligence, Process Mining, Process Automation engineer, Data Pipelines, Automation, AI Automation, MLWB, Orchestration engine, Action flows, NLP, LLM, Python, SQL, SAP, Salesforce, Azure, RPA, Orchestration, Data Governance, Agile.</div>

Sr Celonis Platform Engineer

Search 10000+ Platform engineer jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 platform engineer jobs Near Me

Senior Platform Engineer

Data Platform Engineer

Data Platform Engineer

Data Platform Engineer

Machine Learning Platform Engineer

Senior Data Platform Engineer

Sr Celonis Platform Engineer