Production Line Management Engineer Jobs

Defense Unicorns seeks a Senior Software Engineer to join our UDS Registry team. You’ll collaborate closely with product managers, designers, and end users to ensure we’re building the right solutions—and building them well. The team builds and operates UDS Registry to reliably manage and deploy UDS packages to any mission environment, serving the ISSM persona. In addition, we own the development and maintenance of Pepr and Lula, ensuring our tools continue to meet real-world mission needs. The Registry team values action, ownership, and focus, taking initiative to see work through from idea to impact. As a Software Engineer, you’ll operate at the intersection of product development and technical execution. You’ll lead the design, implementation, and deployment of features and systems that have direct impact on mission outcomes. Responsibilities: Work with engineers internal to the company, and within the open source community on feature and bug fix requests Proactively identify and resolve ambiguity in product requirements Comfortable working proactively, managing time efficiently, and thriving in a vibrant remote work environment! ✨🦄 Actively participate in communities of practice via Slack and Github Issues Integrate software products with existing defense systems, ensuring seamless interoperability and adherence to security protocols Own architecture decisions and ensure technical quality across the engineering team Participate in on-call rotation for our production environment Develop comprehensive documentation, including design specifications, user manuals, and maintenance guides Contribute to Open Source Projects. Participating in Cloud Native Computing Foundation (CNCF), Apache Software Foundation (ASF), or Open Source Security Foundation (OpenSSF) is a huge plus! Stay abreast of emerging technologies and industry trends to inform product enhancements and innovation. Provide technical mentorship and elevate engineering standards ac

Opportunity Overview: We’re looking for a Manager, Platform Engineering that can lead and grow a high-performing engineering team focused on Developer Experience, DevOps, SRE, and Quality. You will own the systems and processes that enable teams to build, test, release, and operate software with high velocity and reliability, driving engineering efficiency and operational excellence across the organization. What you’ll do: Lead a fast-paced, autonomous team of engineers focused on platform engineering, developer experience, DevOps, SRE, and quality engineering Own and drive the internal developer platform strategy and roadmap, improving how engineering teams build, test, deploy, and operate services Create transparency into engineering efficiency and system health through meaningful metrics across delivery, reliability, and quality Enable teams to move faster by improving CI CD pipelines, environments, tooling, and overall developer workflows Provide technical leadership across platform, infrastructure, and reliability, helping teams build scalable and resilient systems Ensure strong engineering practices across release processes, testing, quality, reliability, and security Define and enforce release guardrails, validation standards, and rollback mechanisms to improve production safety Improve environment stability and consistency across development, QA, and pre production environments Drive test strategy and automation maturity to improve overall product quality and confidence in releases Define and implement observability, monitoring, and alerting standards across systems Improve incident detection, response, and RCA practices, ensuring learnings translate into platform and system improvements Drive cloud infrastructure best practices across AWS, containers, and infrastructure as code Foster a culture of ownership, reliability, and continuous improvement within the team Provide innovative solutions for attracting, developing, and retaining top engineering talent I

Do you thrive in a fast-paced environment where you take on real responsibility from day one? Are you organised, detail-obsessed, and energised by making complex events run flawlessly? If you already know the events world — and love keeping clients, vendors, and deadlines on track — you might be our next Global Event Operations Manager. About us Insurtech Insights is a global insurance media company that connects 15,000 executives, entrepreneurs, and investors building the future of insurance through three large-scale conferences in London, New York and Hong Kong. Insurtech Insights is part of Emerald. Throughout the year, Emerald delivers meaningful connections through 142 live events and 16 media properties, built on deep market knowledge, industry experience, and data-driven insights. What we offer you As our Global Event Operations Manager, you'll be a key player in delivering some of the most ambitious conferences in our portfolio. You'll own real workstreams, work closely with sponsors and partners, and see the tangible results of your work at every live event. We provide: Hands-on operational experience where your work directly shapes the success of our events Close collaboration with our CEO and leadership team on how our conferences come to life Genuine growth potential across Emerald — we believe in promoting internally and have the track record to prove it Your responsibilities You'll be at the heart of how our conferences get delivered, working across multiple events at once. You will: Act as the day-to-day point of contact for sponsors and exhibitors, managing their deliverables, deadlines, and queries end-to-end Coordinate branding and print production, booth and lounge specs, and creative assets with our design team Manage venue logistics — floor plans, catering, AV, and on-site coordination — to keep everything running smoothly Build and manage vendor relationships, negotiating costs and keeping delivery on track and on budget Track deliverable

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

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. At Snowflake, our People team is the backbone of an extraordinary employee experience. As a Principal Integrations Developer on the People Systems team, you'll design, build, and maintain the integrations that connect our people systems — ensuring seamless, secure, and scalable data flow across our global ecosystem as Snowflake continues to grow. This is a hybrid role based in our Dublin, CA or Menlo Park, CA offices with 3 days a week in-office attendance required. WHAT YOU'LL DO: Design, build, test, and maintain Workday integrations using technologies such as Workday Studio, EIB, Core Connectors, and Workday Web Services (SOAP/REST) Partner with internal stakeholders and external vendors to understand business requirements and translate them into scalable integration solutions Provide production support for integrations, including monitoring, troubleshooting failures, performing root cause analysis, and implementing fixes Develop and maintain inbound and outbound integrations between Workday and third-party systems (e.g., payroll, benefits, finance, IT systems) Support data pipelines between Workday and our own instance of Snowflake, including the migration to Workday Zero Copy Data cloud Ensure data accuracy, integrity, and security across integrations, adhering to gove

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Platform Observability team owns the observability tooling that monitors the Auth0 Platform, and we are looking for an Observability Engineer to help ensure that our Product and Platform Engineers can monitor and observe our platform while continuing to rapidly ship software that our customers love. Our engineers maintain and automate observability tooling for our entire platform, including metrics, logs, and traces. We are looking for engineers passionate about monitoring, observing, measuring uptime and availability, and ensuring platform stability. If you have experience within the Site Reliability Engineering (SRE) field or working as a Development Operations (DevOps) engineer, and you have a passion for Observability tooling, this position will allow you to further your learning and development in these areas. As a Senior Engineer on this team, you will act as a core technical leader. You will work cross-functionally to help integrate services with our instrumentation libraries, support product teams, and actively investigate incidents to identify our observability gaps. Responsibilities: Proven ability to champion observability best practices, acting as an educator who can effectively correct anti-patterns and teach other engineering teams how to build robust, standardized instrumentation. Be an expert in running services in production environments Contribute to the process of designing services for high growth and high availability. Provisi

Band 7 Obstetrics & Gynae Sonographer (General experience a bonus) • Position: Sonographer – experience in Obs & Gynae (General a bonus) - 3D/4D Scans • Banding: 7 • Location: South Yorkshire - Private Clinic • Start: ASAP - Mondays through to Sundays - Weekdays & Weekends • Rate: £45-46 per hour We are seeking a highly skilled Band 7 Obstetrics & Gynae Sonographer, ideally with 3D/4D scanning experience, to join our team in a Private Clinic in South Yorkshire. This role offers a competitive pay rate of £45-46 per hour, with working hours flexible between 0800 to 2000. The position is set to start as soon as possible and will initially run for 6 months, with the possibility of extensions. This is an excellent opportunity for a dedicated sonographer to work in a dynamic healthcare environment, providing top-notch diagnostic imaging services. Responsibilities: As a Band 7 Obs & Gynae Sonographer, you will perform a variety of general ultrasound scans to support the diagnosis and treatment of patients. You will operate advanced ultrasound equipment, ensuring the production of high-quality images and detailed reporting. Your role involves maintaining patient comfort and safety during procedures, adhering to established protocols, and collaborating with a multidisciplinary team to ensure seamless service delivery. Additionally, you will contribute to the department’s quality assurance and continuous improvement efforts. Requirements: Degree in Diagnostic Radiography or equivalent qualification with a postgraduate diploma in Medical Ultrasound. Current registration with the HCPC. Extensive experience in Obs & Gynae ultrasound imaging, preferably at in a Private Clinic with 3D/4D scanning experience General scans desirable Proficiency in operating advanced ultrasound equipment. Strong knowledge of ultrasound safety standards and best practices. Excellent communication and interpersonal skills. Ability to work independently and mana

Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates. At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns You will oversee or take part in the entire cycle of software consulting and delivery from ideation to evolution in production and everything in between Champion strategic AI-first software delivery AIFSD): You will lead in the strategic integration of AI technologies across the software development lifecycle, ensuring its use is deliberate and purposeful, to maximise quality, efficiency and innovative client solutions You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible You will design solutions and choose technologies that solve clients’ problems while working within constraints and make pragmatic tradeoffs You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along t

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python. Develop and maintain APIs using REST, gRPC or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Staff Engineer to join our Observability team. This role is ideal for a highly technical engineer who thrives on uncovering the truth behind complex system behaviors, diagnosing difficult production challenges, and driving platform-wide improvements. As a Staff Engineer, you will operate as a force multiplier across engineering teams, helping Postman build world-class observability capabilities while improving reliability, performance, and developer productivity. You will partner closely with Infrastructure, Platform, Product, Security, and Data teams to identify systemic issues, establish operational excellence, and ensure engineering teams have the visibility they need to operate at scale. What You'll Do Drive the technical vision and architecture for Postman's observability platform. Design and build scalable solutions for metrics, logging, tracing, alerting, and operational analytics. Investigate complex production issues, identify root causes, and drive long-term corrective actions. Partner with engineering teams to improve service reliability, availability, performance, and operational mat

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Build AI agents that autonomously navigate websites and execute complex workflows. Develop browser automation solutions using Playwright, Selenium, or similar frameworks. Design agent architectures leveraging LLMs, tool calling, memory, and planning capabilities. Integrate AI agents with APIs, SaaS platforms, and internal systems. Improve agent reliability through evaluation, testing, monitoring, and guardrails. Optimize agent performance, scalability, and operational cost. Collaborate with product and engineering teams to identify and automate high-value workflows. Stay current on emerging agent frameworks, models, and AI technologies. Experience 3+ years of software engineering experience building production systems. 1+ years experience building agentic workflows. Strong Python programming skills. Experience with LLMs, agent frameworks and browser automation tools. Experience integrating APIs and third-party services. Familiarity with cloud platforms such as AWS or GCP. Startup experience and ability to work in a fast-paced environment is preferred. BS/MS in Computer Science, Engineering, AI, or a related field. Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualif