Senior Service Reliability Engineer Jobs

At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services. As a Senior Software Engineer on the Foundational Infrastructure & Networking team , you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale. Responsibilities Architect & Scale Core Networking: Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS. Optimize High-Throughput Control Planes: Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes. Drive Systems Reliability & Observability: Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR). Hands-on Production Debugging: Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols. Technical Leadership & Mentorship: Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org. Experience 6+ Years of Production Systems Experience: Proven track record building and operating massive-scale cloud infrastructure and networking platforms. Expertise in Cloud Networking & Protocols: Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking a

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 Software Development Engineer in Test San Mateo, CA Role Overview Sony Interactive Entertainment LLC seeks a Senior Software Development Engineer in Test in San Mateo, CA to design, develop, and maintain automated testing frameworks and tools for PlayStation console and platform applications using both internal and external Python-based technologies. Requirements Master’s degree in Computer Science, Computer Engineering, or related field or equivalent, and two (2) years of experience in containerizing ML services and exploring Kubernetes-based deployments to support scalable service infrastructure; leveraging Amazon Web Services (AWS) technologies, including EC2, S3, and Lambda, to support model training, storage, and deployment workflows; implementing cloud-based ML infrastructure and monitoring solutions to improve system reliability and availability; utilizing Python and ML libraries including Scikitlearn and Pandas to build predictive models, perform data preprocessing and feature engineering, and generate analytical insights; applying supervised learning, anomaly detection, and optimization algorithms to support system tuning and predictive analytics; creating real-time ROI and analytics dashboards using Tableau to support data-driven decision-m

We are seeking a Senior Software Engineer to join our growing Bengaluru Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Own and enhance the reliability, scalability, security, and operational readiness of production and non-production environments. Build and maintain Infrastructure as Code (IaC), configuration management, CI/CD pipelines, deployment automation, and operational tooling. Collaborate with Engineering, Product, QA, Security, and Cloud teams to support releases and production deployments. Implement and improve monitoring, observability, logging, alerting, and incident response processes. Troubleshoot issues across Linux and Windows systems, networking, DNS, SSL/TLS, web servers, databases, APIs, and cloud platforms. Support cloud migration, platform modernization, vulnerability remediation, patching, disaster recovery, and operational documentation. Participate in production support, incident management, root cause analysis, and continuous service improvements. Design, develop, test, and deploy new product features and enhancements. Utilize AI-assisted development tools for code generation, refactoring, testing, and documentation while adhering to engineering best practices. Key Skills: 8+ years of exper

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments . You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint. What You Might Do Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments. Build automation and self-service tooling that improves engineering velocity and operational consistency. Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning. Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery. Improve monitoring, alerting, incident response, and operational tooling across distributed environments. Automate repetitive operational t

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate, and self-motivated, we want to hear from you! We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software. SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing R&D related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products. What you'll be doing: Take ownership and drive customer issues with Ethernet or InfiniBand network adapter/DPU deployments from inception to resolution. Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including but not limited to Networking products. Work with NVIDIA Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with NVIDIA Networking products. Bring independent analysis, communication, and problem-solving to customer experience. Collaborate with engineering to document, recreate and solve issues. What we need to see: BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience). 8+ years system software developm

NVIDIA is transforming how the world uses AI, cloud, and accelerated computing, and trust is at the center of that mission. Our Attestation and Trust Services team builds the secure cloud services that show customers their NVIDIA platforms are healthy, resilient, and ready for their most important workloads. In this role, you help design and run services that sit at the intersection of hardware, security, and large-scale distributed systems. We partner closely with security, silicon, platform, and cloud teams to bring new ideas into reliable production services that people rely on every day. We care about building systems that last, supporting each other, and creating space for learning and experimentation. If you enjoy solving complex problems, keeping services running smoothly, and collaborating with teammates from many disciplines, we would love to talk with you! What you’ll be doing: Your main focus will be on building and managing our core attestation cloud services. Day-to-day responsibilities include crafting APIs and integrations, boosting reliability, and working alongside NVIDIA teams to convert hardware trust mechanisms and standards into production-ready solutions. You will contribute significantly to shaping how customers verify that NVIDIA platforms are secure and prepared for their workloads. Crafting and evolving attestation cloud services, APIs, and SDK/CLI integration points that confirm the integrity of NVIDIA platforms across data center, AI, networking, and partner environments. Improving reliability and operational maturity through SLOs/SLIs, alerting, runbooks, incident response, and safe rollout practices. Crafting resilient service behavior that handles dependency failures, caching challenges, regional issues, customer-side resilience needs, and graceful degradation. Architecting trust-material distribution for certificate status, re

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

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. Role: As a Senior Quality Engineer - you will play a pivotal role in elevating our quality practices across StarRez communication, Marketplace, System Administration and Maintenance systems. You will be an expert within our product engineering organization, deeply understanding user and product behaviour, customer journeys, business rules, and the systems that support StarRez personas. This role will balance hands-on individual contributor responsibilities with leading, influencing, and coaching your peers. This individual contributor role is for someone who is passionate about seeing systems holistically, has a strong vision for product quality, and is eager to drive the highest standards of customer experience, functional correctness, usability, accessibility, reliability, performance, and release confidence. You will leverage your deep understanding of SaaS product behaviour, end-to-end workflows, integrations, environments, and customer operations to guide and influence our development process. Your role is not to manage a team, but to be a quality champion who partners directly with developers, product managers, designers, support, implementation, and customer-facing teams. You will help teams anticipate risk, clarify expected behaviour, validate business logic, protect the customer experience, and build more robust, scalable, and reliable conference and event prod

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. Role: As a Senior Quality Engineer - you will play a pivotal role in elevating our quality practices across customer-facing event management workflows, booking and registration experiences, operational administration, product integrations, and complex distributed systems. You will be an expert within our engineering organization, deeply understanding product behaviour, customer journeys, business rules, and the systems that support seamless conference and event experiences. This role will balance hands-on individual contributor responsibilities with leading, influencing, and coaching your peers. This individual contributor role is for someone who is passionate about seeing systems holistically, has a strong vision for product quality, and is eager to drive the highest standards of customer experience, functional correctness, usability, accessibility, reliability, performance, and release confidence. You will leverage your deep understanding of SaaS product behaviour, end-to-end workflows, integrations, environments, and customer operations to guide and influence our development process. You will not manage people. You will set the quality bar for your team, do the work to hold it, and coach the engineers, product managers and designers around you to share ownership of it. You will report to the Director of Quality and work day

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

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 runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering teams t

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million of registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new DevOps Engineer you'll join Squad Matrix based in Copenhagen, reporting to Jesper, working to build Lunar's governed self-service data platform alongside our data platform and analytics engineers. Matrix owns Hubble, the internal data platform that makes data usable across Lunar. Your focus won't be on building pipelines or analytical products. It'll be on the infrastructure, deployment mechanisms and operational capabilities those systems depend on. You'll make running data workloads feel like a well-engineered platform rather than a collection of individually operated systems. What will you do? Build and maintain data-specific Kubernetes capabilities for workloads like Flink, Kafka, and distributed databases — including operators, lifecycle management, storage integrations and workload isolation Create standardised CI/CD pipelines, GitOps workflows and deployment automation so engineers can build, test and ship data infrastructure with confidence Own observability and reliability for the data platform — metrics, tracing, dashboards, SLOs and automated health checks that make production understandable and operable Reduce manual operations through infrastructure automation, data-specific Infrastructure as Code and internal tooling that solves common problems once at the platform level Partner with data platform engineers and the wider platform organisation to extend shared foundations for data-intensive, stateful workloads — so the rest of the t

This is a core backend software engineering role (70% SWE / 30% Data) within our Mapping organization. You will focus primarily on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft's routing and mapping products. Note: This position focuses on backend service architecture and platform scalability rather than traditional ETL, BI, or data modeling pipelines. 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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serv

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ 🌏 Location: You can choose to work in Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, or Spain. Mission: Join us as a Backend Engineer to build the financial infrastructure that 600,000+ European SMEs depend on every day, from highly scalable APIs to robust banking services that handle real money, in real time, with zero room for mistakes. ➡️ As a Backend Engineer at Qonto, you will Design, build, deploy, and maintain services handling real financial transactions, owning reliability in production, not just at merge time Co-own service architecture, resilience, and scalability with respect to Domain-Driven Design principles Grow in technical leadership: lead design discussions, anticipate risks, and mento