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Senior Engineer 2c Process Control System Jobs

7,101 active opportunities · Updated for October 2026

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Explore current senior engineer 2c process control system jobs. Use filters to narrow by work mode, employment type, experience and date posted.

R
Robinhood
📍 Menlo Park• Full-time
1mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Cloud Security team is focused on protecting Robinhood’s AWS cloud and providing engineers with foundational security capabilities. It is a major contributor to the company’s least privilege objective to manage network traffic and reduce the level of access that employees have or could obtain through escalation. A Senior Security Engineer on the Cloud Security team is a well-rounded technologist and a deep subject matter expert in cloud security and building security controls on Amazon Web Services (AWS). The ideal candidate for this role will embody and exemplify our Safety First value. This role is based in our Bellevue, WA, Menlo Park, CA, and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do As a Senior Security Engineer you will be part of a team which owns the security posture for cloud infrastructure on which all Robinhood products are built You will build and operate solutions that protect fou

pythonvueaws
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Lyft
📍 San Francisco• Full-time• ₹1.5L – ₹1.9L/yr
1mo ago

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priori

pythonreactmachine learning
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Lyft
📍 Seattle• Full-time• ₹1.5L – ₹1.9L/yr
1mo ago

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priori

pythonreactmachine learning
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Lyft
📍 San Francisco• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

pythongitmachine learning
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Airbnb
📍 Brazil• Full-time• Remote
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, frameworks. We navigate Airbnb’s massive codebase identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb leveraging AI to redefine and accelerate Quality Engineering As a Senior Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy, cover

REMOTEci/cdgitai
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, and frameworks. We navigate Airbnb’s massive codebase, identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make: Be a leader in Airbnb, leveraging AI to redefine and accelerate Quality Engineering As a Senior Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day: Leverage AI and tooling to lead the implementation of a test automation strategy,

javascripttypescriptjava
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S
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake Notebooks is a development interface in Snowsight that offers an interactive, cell-based programming environment for Python and SQL. In Snowflake Notebooks, you can perform exploratory data analysis, develop machine learning models, and perform other data science and data engineering tasks all in one place. To learn more about the capabilities of the Notebook products please visit https://www.snowflake.com/en/data-cloud/notebooks/ AS A SENIOR SOFTWARE ENGINEER FOR SNOWFLAKE NOTEBOOKS, YOU WILL: Drive high impact initiatives that span our product areas and tech stack including: React, Typescript, JavaScript , NodeJS and java Promote strong collaboration within a cross functional team, including design, product management. Deliver features requiring close coordination with several sister teams such as MLE, Container Services, Monetization and Snowpark Services Be a strong contributor to the product vision and drive team planning. Build for scale and high performance. OUR IDEAL CANDIDATE WILL HAVE: 7+ years hands-on software development experience, including significant experience in Frontend or full stack software development Deep understanding of modern web applications design architecture, good API design patterns, security, performance and scale. Knowledge of dat

javascripttypescriptpython
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Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

machine learningartificial intelligenceai
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B
16 days ago

Flight Dynamics Engineer (Senior) Company: The Boeing Company Boeing Defense, Space & Security (BDS), Space Missions Systems seeks a Flight Dynamics Engineer (Senior) in Seal Beach, California , with potential options to work from El Segundo, California; Aurora or Colorado Springs, Colorado; Herndon or Leesburg, Virginia; or Kennedy Space Center, Florida, based on program needs. You will join a diverse team and apply your skills to support architecture, requirements, and design, creating innovative solutions to technical challenges. Our multi-disciplinary team focuses on rapid prototyping to demonstrate a host of next-generation, mission-focused technologies, products, and services for a variety of customers. We work all facets of engineering from technology investment, concept development, proposal writing, architecture, requirements, and design, build, integration, test, and demonstration. Position Responsibilities: Contribute to an impactful team immersed in innovative development projects Lead development of vital architecture requirements and design Ensure modern, best practices across programs and product lines for development and integration activities. Anticipate, communicate, and recommend actions and risk mitigations to technical teams and program leadership. Contribute to strategy, product roadmaps, and technology plans for end-to-end mission integration, space operations, and ground architecture. This position is expected to be 100% onsite. The selected candidate will be required to work on site at the listed locations. This position requires an active U.S. Top Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been activ

pythonrecruitment
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R
20 days ago

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Office at Tai Seng Exchange Tower B Near Tai Seng MRT, Singapore Insurance Coverage Entitled to Yearly Bonus & Performance Bonus Responsibilities (Site Reliability Engineer - Senior / Lead ) High Availability and Stability Maintenance of Application Systems: Includes daily monitoring, alert response, emergency handling, on-call duties, regular system health checks, and performance optimization. Compliance and Secure Access Construction for Application Systems: Ensure operational design, processes, and data management comply with relevant privacy and data protection laws. Ensure compliance with full auditing and regulatory checks and provide auditing materials as required. Change and Release Management: Best practices for application system changes, including change control, version management, and rollback strategies, while ensuring operational duties during release windows. Automation and Infrastructure Optimization: Drive operational automation by designing and implementing automated tools and processes, ensuring resource allocation is optimized and supporting business scalability. Other Operational Practices and Work Arrangements: Providefeedback and suggestions for business architecture design and continuously produce operational technical documentation. Qualifications Bachelor's Degree or above; a degree in computer science or a related field is preferred. Experiences as Senior SRE or

awsazuredocker
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The role will involve contributing to the development and enhancement of the credit risk modelling toolkit while partnering with modellers to ensure the toolkit is being used correctly and efficiently; and gather feedback to support future improvements and enhancements. This position requires strong stakeholder engagement skills, the ability to understand end-user requirements, and solid Python development experience, including contributing to large-scale Python libraries and testing frameworks. Essential Skills Strong commercial experience building and testing Python applications in a professional environment. Strong understanding of object-oriented programming and test-driven development. Solid knowledge of testing principles and best practices, including experience with pytest. Strong understanding of coding best practices and writing clean, maintainable, pythonic code. Experience identifying and addressing code smells. Familiarity with code review best practices. Practical understanding of SOLID principles and common design patterns. Good working knowledge of Git version control. Experience working in Agile development environments, ideally with continuous integration practices. Nice to Have MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, Information Systems, or a related technical discipline. Exposure to credit risk analytics or related financial risk domains. Strong familiarity with the scientific Python stack, including NumPy, SciPy, pandas, polars, and Matplotlib. Experience with PySpark or other Big Data technologies. Experience contributing to open-source projects or developing reusable Python libraries. How to apply: Apply via the form below and tell us a bit about you. Complete the online assessment (we’ll send you a link by email). Complete the interviews with our friendly talent team over phone and video. Lastly, you’ll interview with one or more of our clients. So you don’t miss out on your dream job, we encourage you

pythongitagile
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PI
PayPay India
📍 Gurugram• Full-time
20 days ago

About PayPay India PayPay, a fintech company providing a service enjoyed by over 75 million users since its launch in 2018 in Japan. The company is now home to a very diverse team of members from more than 50 countries. We grew to a team of several thousand employees in Japan but are far from over. We are still in the Day 1. Every day, new members join us from all over the world to create new value and deliver it to society. Why India ? To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated. OUR VISION IS UNLIMITED We dare to believe that we do not need a clear vision to create a future beyond our imagination. PayPay will always stay true to our roots and realise a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. AI-First Culture at PayPay At PayPay, we believe the future of software development is AI-augmented engineering. Every engineer is expected to actively leverage AI tools for code reviews, testing, documentation, debugging, and productivity improvements. AI is not optional — it is a mandatory part of our daily engineering workflow. Candidates must demonstrate both hands-on experience and the right mindset to integrate AI effectively into their workflow, while maintaining the engineering rigor, ownership, and problem-solving skills that only humans can provide. Job Description PayPay India&nb

pythonjavasql
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

REMOTEkubernetesaigo
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