Engineering Effectiveness Manager Jobs

Senior Software Engineer, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? As a Senior Backend Engineer on the Toast International team, you’ll play a pivotal role in engineering the platform that powers the next generation of guest reservations, dynamic floor management, and table operations across global markets like the UK, Europe, and Canada. You will lead the design and execution of core backend services—building scalable backend systems, robust integrations, data processing pipelines, and core platform capabilities. You’ll collaborate closely with engineering teams in North America and Europe, product managers, and designers to win high-value full-service restaurants worldwide. About this roll* (Responsibilities) Architect, implement, and scale distributed backend microservices (Java / Kotlin / AWS) powering reservations and guest management. Build core transactional and payment capabilities for the platform. Design robust integrations with third-party aggregators and partners and two-way POS synchronization. Implement tiering, entitlements, and usage metering services across freemium waitlists and premium subscription tiers. Partner cross-functionally with Mobile, Web/Frontend, Product Management, and UX to deliver seamless end-to-end features. Drive high standards of code quality, observability, test automation (unit, integration, and contract tests), and operational excellence. Mentor team members, participate in technical design reviews, and leverage modern AI development workflows to accelerate velocity and code quality. Do you have the right ingredients*? (Requirements) 5+ years of software engineering experience building scalable, distributed backend microservices in production. Deep proficiency in Java or Kot

Title: Software Engineer II, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Level: Software Engineer II (SE2) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? As a Software Engineer II on the Toast Tables International team, you will build and scale the cloud services powering modern table management, guest reservations, and front-of-house hospitality for high-volume restaurants across the UK, Europe, and Canada. In this role, you will work hands-on with distributed microservices in Java and Kotlin—delivering high-impact capabilities such as payment integrations, messaging services, and core platform workflows. You will collaborate with senior engineers, product managers, designers, and mobile/web teammates across North America and Europe to deliver reliable, high-performance features. About this roll* (Responsibilities) Build, test, and deploy scalable backend microservices using Java / Kotlin and AWS infrastructure. Implement core reservation and guest lifecycle APIs, including international phone validation, geoblocking rules, and two-way notification services. Develop transactional and payment components for reservation , pre-authorizations, and Card workflows. Build data sync endpoints and event consumers connecting with POS order data, fulfillment, and Guestbook profiles. Write comprehensive automated unit, integration, and contract tests to ensure zero-regression releases and high test coverage. Monitor service health, analyze logs and metrics (Datadog/CloudWatch), and participate in on-call rotations to maintain platform uptime. Collaborate in team agile ceremonies, code reviews, and technical design discussions, leveraging modern development tools to ship quality software efficiently. Do you have the right ingredients*? (Requirements) 2–4 years of profe

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads powers Reddit’s mission to bring community, belonging, and empowerment to everyone in the world. The Advertiser Platform organization owns ads.reddit.com, Reddit’s core advertiser-facing product. We’re looking for a mid-level frontend engineer to join our Ads Manager team. Our team includes frontend and backend engineers who build tools that help advertisers create and manage campaigns at scale. We make complex advertising workflows easier to use, with a focus on performance and reliability. In this role, you’ll own medium-sized frontend projects. You’ll help clarify requirements, propose technical solutions, and carry your work through implementation and release. You’ll make progress independently, collaborate with teammates on tradeoffs, and ask for input when you need it. Responsibilities Build intuitive, accessible interfaces that help advertisers create and manage campaigns. Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects. Own technical design, implementation, testing, and release for medium-sized frontend projects. Communicate progress, dependencies, and risks early so partners can plan around them. Review code and document technical decisions to help the team maintain and extend its work. Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns. Requirements 3+ years of software engineering experience, including 2+ years in frontend engineering. Experience building and maintaining production web ap

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to th

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addit

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

As a Senior Sales Engineer on Datadog's AI Accounts team, you'll serve as the technical lead for a small portfolio of the world's leading AI labs — accounts that today represent a meaningful share of Datadog's revenue and are growing faster than any cohort in our business. You'll own the technical relationship end to end, work shoulder-to-shoulder with customer engineering teams in production, and help define how Datadog shows up for a cohort whose buying behavior looks nothing like traditional enterprise. This team was piloted earlier this year and is now being formalized. You'll be joining early enough to shape the playbook rather than inherit one. What You'll Do Own the technical relationship across a small portfolio of AI labs, go deep on how each customer trains, serves, and scales their models (and/or the downstream products and platforms), and become the person their engineers call first Partner with your AE to drive expansion inside accounts that grow unpredictably and fast: identify new workloads and teams as they spin up, and get in front of them before a need becomes a ticket Lead discovery inside flat, engineering-led organizations where influence sits with individual contributors rather than titles, and where there are no formal scoping calls to rely on Run full-scale POVs in production rather than controlled pilots: instrument real workloads at real scale, prove value against the customer's own success criteria, and work through the operational realities of doing that safely Act as an extension of the customer’s engineering/observability team rather than an external operator - this requires judgment about which standard gates serve the customer and which to break Work Slack-native and asynchronously as the default, with the responsiveness and proactive posture these accounts expect: flag new features, bugs, and incidents before they ask Bring product and engineering in early and often, and close the loop fast — leadership needs near-real-time signal fr

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking an SE3 to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Is familiar with debugging and troubleshooting production issues Strong understanding of algorithms, data structures and their time and space complexity Nice to Haves Experience developing and writing code observability tools Previous work in T

The Data Pipeline team, within the MongoDB Observability organization, builds and supports scalable, highly available capabilities for transporting and transforming telemetry data across MongoDB. The team's mission is to provide a unified streaming pipeline that ingests data and processes high-throughput telemetry, enabling the migration of legacy observability solutions within MongoDB. Built on a diskless, Kafka-compatible data streaming platform as the core streaming bus and Apache Flink for real-time transformations and delivery to storage, the platform lives on Kubernetes clusters and enables downstream consumers to access live telemetry for immediate analysis and reliable long-term retention. The main concern of this team is to provide reliable systems with high availability and replay capabilities. About the role We're looking for a Software Engineer 3 to help build and operate this platform. This is an individual contributor role that combines hands-on software development with systems and site reliability engineering. You'll contribute code and ship backend improvements, while also troubleshooting production issues and helping keep the services reliable. If you enjoy both building distributed systems and understanding how they behave in production, this role offers the opportunity to work on high-volume telemetry processing with meaningful operational responsibility. You'll contribute to medium-sized technical projects and grow with support from experienced engineers. We are looking to speak to candidates based in Dublin for our hybrid working model. We're looking for someone who Enjoys working with other engineers, is approachable and curious, and is open to feedback Has experience with Kafka-compatible streaming platforms, Apache Flink, or comparable stream-processing technologies Has experience writing production backend systems in a compiled language, such as Java, Go, C, or C++ Has experience designing and developing scalable distributed services,

About the job Build the test systems that prove advanced AI hardware is ready before it reaches production. As a Test Development Engineer, you will create and maintain test systems for Graphcore’s electronic hardware platforms. Your work will support preproduction test solutions across system and board-level products. You will define test methods, specify equipment and automate systems for complex hardware. This includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug. This role sits close to real engineering problems. You will build deep product knowledge, improve test coverage and help transfer robust solutions into production. The team and culture You will join the Hardware Test team, embedded within Graphcore’s wider Hardware Engineering group. The team works closely with SI, mechanical, layout, package, silicon, firmware and production teams. Work moves through practical test design, lab debug, automation and clear data. You will be trusted to take ownership and develop solutions that meet real hardware needs. The team values proactive communication across Graphcore and third-party support teams. Decisions are shaped by evidence, standards knowledge and the quality of the test data. What we’re looking for · Experience developing and automating test systems for complex electronic systems · Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug · Fluency in test scripting languages, including Python and LabView · Ability to plan test work, improve coverage and communicate progress clearly · Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs · Strong ownership, teamwork and communication skills across technical teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benef

About the job Debug the high-speed interfaces that decide whether advanced AI systems perform in the real world. As a Validation and Debug Engineer, you will help prove Graphcore silicon and platforms work across real product conditions. You will build deep knowledge of our devices, boards and system behaviour. You will own hands-on validation and debug in the lab, focused on SerDes, PCIe Root Complex and Ethernet. Your work will help resolve complex issues across silicon, hardware, firmware and architecture teams. This role is for someone who enjoys getting close to the hardware. You will tune links, investigate failures and turn difficult lab findings into clear engineering decisions. The team and culture You will work closely with Architecture, Silicon Engineering, Hardware Engineering and Firmware. Progress comes through practical evidence, clear communication and fast problem solving. The team expects ownership without daily oversight. You will drive bring-up, debug issues and help teams reach decisions based on data. You will be trusted to speak up when something is unclear or risky. The best ideas can come from anyone close to the problem. What we’re looking for · Strong hands-on hardware validation experience, including board bring-up and subsystem debug · Experience validating and debugging Ethernet, PCIe Root Complex and SerDes systems · Confident use of lab instrumentation, including oscilloscopes, BERT systems, VNA/TDR equipment and PCIe protocol analysers · Ability to debug signal integrity, protocol-level and interface issues through to root cause · Experience with PCIe bring-up, LTSSM analysis, link training, equalization tuning and interoperability testing · Ability to work independently, take responsibility and drive issue resolution across teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how you

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. Requirements Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addit

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Working with avionics means working at the heart of the vehicle — the core that connects and enables every other subsystem. This role is inherently collaborative, bridging (GNC), software, mechanical, and thermal disciplines to create a unified platform with the required defense capabilities. Every function depends on a robust and compatible avionics architecture, where everything needs to be developed and extensively tested, making this position critical to the vehicle’s overall performance and mission success. It’s a uniquely challenging role that balances diverse technical demands focused on electronics & software, that integrates complex systems, and ensures every component works together seamlessly to deliver cutting-edge unmanned capabilities. Key Responsibilities Development and integration of Avionics systems Guide and mentor earlier career Avionics Integration Engineers Define and maintain functionality of avionics systems with vehicle, system iterations and updates Develop and manage high-level block diagrams to represent system functions and interfaces Collaborate closely with vehicle teams to define electrical and system requirements Design and provide technical support for Iron-birds, prototypes, and special projects Troubleshoo