Backend Compiler Engineer Jobs

About the Role At Jumio, the Software Development Engineer IV - QA (SDE-IV, QA) is a senior technical role focused on ensuring the quality, performance, and reliability of highly scalable web portals and distributed backend systems. Our platform spans multiple Java Spring Boot microservices and customer-facing web portals , deployed across AWS ECS, EKS, and Lambda , and integrated through event-driven messaging using SNS/SQS . In this role you will design and drive the test automation strategy for both UI (Playwright) and API/service layers, set the quality bar for the team, and act as a force multiplier — mentoring other engineers and embedding quality earlier in the development lifecycle. You will work closely with development, product, and DevOps teams to ensure our products meet the highest standards of quality, scalability, and security. This is a hands-on senior IC role: you will write code, but you will also influence architecture, own cross-service test strategy, and make build-vs-buy decisions for testing tooling. T-Shaped Engineering Expectation As part of Jumio's engineering culture, you will adopt a T-shaped engineering approach. Beyond deep expertise in test automation and quality engineering, you will contribute across the development lifecycle — understanding software architecture, participating in design and API-contract discussions, reviewing application code, and ensuring our distributed systems are testable, observable, and resilient by design. Role Value This role is critical to ensuring the reliability, scalability, and security of Jumio's products. By architecting and maintaining automated testing frameworks across web, API, and event-driven layers, you will enable faster, higher-confidence releases and reduce production risk in a complex microservices environment. What You'll Do Test Architecture & Strategy Define and own the end-to-end automated test strategy across web portals and backend microservices, balancing UI, API, contract, integ

Role Purpose: At Jumio, the Software Engineer II (QA) will focus on ensuring the quality and performance of highly scalable web and backend applications. In this role, you will design and implement automated tests for web (Playwright/Selenium) and API-based solutions, leveraging your knowledge of Java or JavaScript. Collaborating closely with development and product teams, you will ensure Jumio's products meet the highest standards of quality and reliability. You’ll have an opportunity to learn and grow in a fast-paced environment while exploring new tools and methodologies. A problem-solving mindset, willingness to innovate, and attention to detail will make you successful in this role. T-Shaped Engineering Expectation: As part of Jumio’s engineering culture, you will adopt a T-shaped engineering approach. In addition to developing expertise in test automation and quality engineering, you will collaborate across the development lifecycle, including understanding software architecture, contributing to design discussions, and ensuring robust and scalable test solutions. Role Value: This role is critical to ensuring the reliability, scalability, and security of Jumio’s products. By building and maintaining automated testing frameworks, you will enable faster releases and higher confidence in the quality of our software. Example Responsibilities: Develop, maintain, and execute automated test scripts for web applications using Playwright, Selenium, or similar automation frameworks. Create and execute API test suites using tools such as Postman, REST Assured, or equivalent testing frameworks. Design and execute functional, regression, integration, and exploratory test cases based on business and technical requirements. Validate application functionality, backend services, APIs, and data flows across different environments. Identify, document, track, and verify defects, working closely with developers to ensure timely resolution. Execute automated test suites as part of C

Software Engineer II Location: Hyderabad Experience: 3–5 Years Role Overview Looking for a Software Engineer II with strong Java/Spring Boot development experience. Work on backend and frontend platforms supporting high-volume healthcare transactions . Full-stack experience is a plus, with Angular preferred. Key Responsibilities Develop and maintain applications using Java, Spring Boot, and REST APIs . Work with MySQL, MongoDB, and Redis . Develop integrations with internal services. Write unit and integration tests . Participate in Agile/Scrum ceremonies and production issue resolution. Collaborate with engineers, architects, and Product teams. Follow clean coding practices and established design patterns . Use AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code . Must-Have Skills 2–3 years of software development experience. Strong Java + Spring Boot . REST API development. MySQL or other relational databases. Unit & integration testing ( JUnit or equivalent). Basic AWS/cloud knowledge. Agile/Scrum experience. Strong problem-solving and debugging skills. Good to Have Angular / TypeScript MongoDB / Redis AWS: S3, SQS, RDS, EC2 GitHub Actions / CI/CD Playwright or other automation frameworks Experience with AI-assisted coding tools Ideal Candidate A hands-on Java/Spring Boot developer with good backend fundamentals, cloud exposure, strong debugging skills, and a willingness to work across the stack and adopt modern development tools. GHX: It's the way you do business in healthcare Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring tog

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

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

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

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. We are looking for experienced backend software engineers to join our claims tech engineering team. Our vision is to tangibly reduce risk on the Lyft platform, and by extension reduce insurance cost. Our team is dedicated to centralizing the entire claims operation onto a unified risk platform. This consolidation of data, workflows, and communications aims to foster proactive measures, enhance efficiency, ensure consistency, and provide valuable insights. These efforts are designed to effectively reduce claims costs as Lyft's operations expand. Additionally, our team is responsible for maintaining robust relationships with our third-party insurance partners, guaranteeing timely, proactive, and precise sharing of claim data. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Own feature from product spec to successful high quality development, deployment and maintenance Participate in code reviews to ensure code quality and distribute knowledge Respond to external questions and requests. Unblock, support and communicate with stakeholders to achieve results Experience: 3+ years of relevant professional experience Experience with object-oriented programming Experience in distributed systems Experience working with databases, relational or NoSQL Write clear, scalable and clear design documentation Design, build and improve a set of team owned components Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. What Are We Looking For We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership , helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. What You’ll Be Responsible for In this role, you’ll: Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. Assess container runtime and Linux isolation risks, in

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. What You'll Be Responsible For Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity Extend our infrastructure as code for capacity-relevant provisioning Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency Build and tune capacity alerting so headroom,

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role Supabase is scaling its AWS partnership across multiple go-to-market motions, and gaming is one of the fastest-moving. This role owns the AWS gaming segment end to end, driving adoption of Supabase within game studios building on AWS, and managing the technical and commercial relationship with AWS's gaming ecosystem (GameLift, gaming ISVs, and gaming-focused SI/SA teams). You'll work closely with our SI partner ecosystem (including gaming-focused system integrators) on feature enhancements, run co-sell motions with AWS gaming account teams, and build the pipeline that proves out gaming as a durable growth motion for the AWS relationship. What you'll do Own the AWS gaming segment strategy and roadmap Manage relationships with AWS's gaming team (GameLift, gaming ISV/partner org) and gaming-focused AWS SAs Drive the SI partnership motion with gaming systems integrators -- including scoping technical gap analyses (SDK coverage across Unity, Unreal, Godot), negotiating MNDAs/agreements, and managing joint GTM plans Build and run co-sell pipeline with AWS gaming account teams through ACE Identify and close gaps in Supabase's gaming-specific product story (SDK support, real-time/multiplayer patterns, missing feature parity vs. incumbents) Represent the gaming motion in AWS SCA/funding conversations, providing data and narrative to support investment asks Partner with product marketing on gaming-specific content, case studies, and launch narratives Who you are 3-5+ years in partnerships, alliances, or business development, ideally with AWS or another hyperscaler Experience working with or in the gaming industry (studios, publishers, or gaming-focused ISVs/SIs) a strong plus Track record

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role This role owns the enterprise and AI segment of Supabase's AWS partnership -- driving adoption among larger, more complex enterprise accounts and AI-native companies building production workloads on Supabase. You'll anchor the enterprise motion around reference customers, build the case for enterprise innovation funding with AWS, and own the relationship with AWS enterprise account teams and Solutions Architects. This is a strategic, quota-adjacent role: you'll be responsible for building enterprise pipeline through AWS co-sell, deepening AWS's confidence in Supabase as an enterprise-ready platform, and supporting Competency and reference programs that unlock further AWS investment. What you'll do Own the AWS enterprise strategy Manage relationships with AWS enterprise account teams, Solutions Architects, and relevant service-line teams (e.g., Database Services) Drive co-sell pipeline for enterprise and AI-native accounts through ACE, working closely with AWS field teams Support AWS Competency designations and reference program management -- coordinating customer references, evidence collection, and renewal timelines Build and maintain enterprise reference narratives (anchor customer stories) used in AWS-facing business cases and exec conversations Represent the enterprise motion and funding discussions, providing pipeline data and account-level detail to support investment asks to AWS Partner with sales leadership to identify strategic enterprise accounts where AWS co-sell can accelerate deals Work with product and product marketing to keep the enterprise/AI product narrative current for AWS SAs and account teams Who you are 4-6+ years in partnerships, alliances, or enterprise b