distributed systems engineer

HighLevel

<div><div><b>About HighLevel:</b></div><div>
HighLevel is an AI powered, all-in-one white-label sales &amp; marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.</div><div></div><div><b><br>
Our People</b></div><div>
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.</div><div></div><div><b><br>
Our Impact</b></div><div>
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.</div><div></div><div><b><br>
About the Team:</b></div><div>
Our platform enables customers to create 400 million+ new entities every day and perform 35 million+ search operations daily across billions of records. We build and maintain highly scalable backend systems and search engines that operate with extremely low latency and high accuracy.</div><div></div><div><br>
If you want to work on massive-scale distributed systems and solve real-time performance challenges, this is the right place.</div><div></div><div><b><br>
About the Role:</b></div><div>
We are seeking a Staff Engineer (Platform &amp; Backend) who will operate primarily as a high-impact IC, while also influencing engineering practices and technical direction across teams.This role is not about delivering tickets &mdash; it&rsquo;s about owning mission-critical services end-to-end, driving architectural decisions, understanding customer and internal pain points, and elevating the overall technical excellence of our platform.</div><div></div><div><br>
You will play a key role in improving performance, scalability, and reliability across distributed systems running at extraordinary scale.</div>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3><ul><li>
Architect and scale the Contact Creation Engine, ensuring a single source of truth for contact data with 99.95% availability and minimal latency</li><li>
Enhance and evolve the Search Engine ecosystem, working with Elasticsearch, Firestore, and ClickHouse to deliver fast, accurate search results at scale</li><li>
Own and optimise cloud-native infrastructure using Docker and advanced Kubernetes (cluster management, tuning, networking, and configuration)</li><li>
Establish technical standards, drive architecture governance, conduct design reviews, and champion engineering best practices</li><li>
Diagnose and solve complex production issues involving latency, throughput, system contention, scaling limits, and distributed node behavior</li><li>
Create and analyze postmortems and implement long-term fixes to prevent recurrence</li><li>
Partner closely with Product, Platform, and DevOps teams to architect shared services and ensure platform-wide reliability</li><li>
Mentor engineers, influence technical decisions, and guide long-term platform evolution</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
8+ years in backend/system engineering roles with hands-on development</li><li>
Expertise in distributed systems, microservices, event-driven architectures</li><li>
Proven experience in system optimization and performance tuning</li><li>
Strong hands-on skills in Docker and Kubernetes (cluster operations, tuning, networking).</li><li>
Proficiency in backend languages: Node.js, Go</li><li>
Strong database experience with indexing, schema design, and optimization for Elasticsearch, Firestore, ClickHouse</li><li>
Understanding of caching strategies, message queues, and high-performance APIs</li><li>
Cloud experience with AWS/GCP and CI/CD pipelines (Jenkins or similar)</li><li>
Familiarity with observability tools such as Sentry, Grafana, ELK</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Previous experience as a Tech Lead or Staff Engineer in a fast-growing, high-scale environment</li><li>
Hands-on experience with Kafka/Google PubSub, Redis &amp; Cloud Functions</li><li>
Excellent communication and problem-solving skills</li><li>
Ability to influence engineering culture and drive large technical initiatives</li></ul><div><b>
EEO Statement:</b></div><div>
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.</div><div></div><div><br>
#LI-Remote #LI-HB1</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Staff Engineer - Contacts Platform

Odine

<div>
 <p>
  Join our growing technology team as a Senior Engineer, focusing on the development of scalable and data-intensive applications. In this role, you will work with distributed system technologies and various database architectures to design, build, and maintain reliable solutions. You will contribute to end-to-end data workflows&mdash;from data ingestion to processing and governance&mdash;while continuously developing your skills and contributing to impactful technology projects.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain scalable, data-driven applications
  </li>
  <li>
   Work with distributed systems to ensure performance, reliability, and scalability
  </li>
  <li>
   Build and optimize data pipelines across different stages of data processing
  </li>
  <li>
   Collaborate with cross-functional teams to deliver high-quality software solutions
  </li>
  <li>
   Contribute to system design decisions and continuously improve existing architectures
  </li>
 </ul>
 <p>
  <strong>
   Required Skills and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Distributed Systems Experience:
   </strong>
   Hands-on experience developing or maintaining distributed applications, with an understanding of system behavior and performance considerations
  </li>
  <li>
   <strong>
    Database Knowledge:
   </strong>
   Good command of SQL and experience working with columnar or NoSQL databases
  </li>
  <li>
   <strong>
    Big Data Technologies:
   </strong>
   Practical experience with tools such as Apache Spark, Flink, and Apache Kafka
  </li>
  <li>
   <strong>
    Cloud-Native Technologies:
   </strong>
   Experience working with cloud-native environments and tools like Kubernetes and Docker
  </li>
  <li>
   <strong>
    Problem-Solving Skills:
   </strong>
   Strong analytical mindset with a structured and solution-oriented approach
  </li>
  <li>
   <strong>
    Education:
   </strong>
   BSc or MSc in Software Engineering, Computer Science, or a related field
  </li>
 </ul>
 <p>
  <strong>
   Experience Level
  </strong>
 </p>
 <p>
  This role is suitable for professionals with
  <strong>
   3&ndash;5 years of experience
  </strong>
  in developing data-intensive applications. Experience working with distributed systems and modern data platforms is expected, along with the ability to take ownership of tasks and contribute effectively within a team environment.
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  Our R&amp;D offices in
  <strong>
   Urla and Istanbul
  </strong>
  offer a dynamic and collaborative environment where innovation is encouraged. We support professional growth, value initiative, and provide opportunities to work on meaningful projects using modern technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *All applications will be treated with strict confidentiality.
  </em>
 </p>
</div>


Software Developer in Data

Secure Tech Cards Pvt. Ltd

<p>Job Title</p><p><b>ClickHouse Cluster Engineer, Distributed Analytics Platforms</b></p><p>Location</p><p>Islamabad, Hybrid or Remote<br/>Full time</p><p>About the Role</p><p>We are looking for a hands-on ClickHouse Cluster Engineer with <b>3 or more years of relevant experience</b> who owns the reliability, performance, and scalability of distributed analytics infrastructure. This role goes beyond routine maintenance. You will design cluster architecture, solve performance challenges at scale, and build automation that keeps systems resilient as data volumes and usage grow.</p><p>If you thrive on deep technical ownership, production problem solving, and building systems that remain stable under pressure, this role is for you.</p><p>Core ResponsibilitiesCluster Management and Architecture</p><ul><li>Design, install, configure, and operate distributed ClickHouse clusters in production</li><li>Implement replication, sharding, and high availability using ZooKeeper</li><li>Continuously evolve cluster topology to support product growth and performance demands</li></ul><p>Performance Optimization</p><ul><li>Monitor and troubleshoot performance bottlenecks across large analytical workloads</li><li>Optimize queries, schemas, and storage engines, including advanced MergeTree configurations</li><li>Tune ClickHouse parameters to achieve predictable, high throughput performance</li></ul><p>Availability and Disaster Recovery</p><ul><li>Design and maintain backup, restore, and disaster recovery strategies</li><li>Ensure data integrity, fast recovery, and minimal downtime during failure scenarios</li></ul><p>Monitoring and Alerting</p><ul><li>Build and maintain proactive monitoring and alerting using Prometheus and Grafana</li><li>Define meaningful metrics and alerts that enable early detection and prevention of incidents</li></ul><p>Automation and Infrastructure as Code</p><ul><li>Automate provisioning, maintenance, and operational workflows</li><li>Use scripting languages such as Shell or Python and tools like Terraform and Ansible to eliminate manual processes</li></ul><p>Security and Access Control</p><ul><li>Manage user access, roles, and permissions</li><li>Ensure compliance with data security, privacy, and audit requirements</li></ul><p>Collaboration and Support</p><ul><li>Partner with engineering, data, and operations teams</li><li>Provide guidance on ClickHouse best practices and support application integrations and deployments</li></ul><p>Required Skills and Experience</p><ul><li><b>Minimum 3 years of hands-on experience</b> managing ClickHouse or comparable distributed analytical databases in production</li><li>Strong understanding of distributed systems, replication, sharding, and high availability concepts</li><li>Proven experience in performance tuning for large-scale analytical workloads</li><li>Practical knowledge of Linux, scripting, and infrastructure automation</li><li>Experience with monitoring and observability tools such as Prometheus and Grafana</li></ul><p>Nice to Have</p><ul><li>Experience operating ClickHouse at high data volumes or in multi-cluster environments</li><li>Exposure to cloud or hybrid infrastructure</li><li>Strong ownership mindset with the ability to work independently on complex systems</li></ul><p>Why Join Us</p><ul><li>Work on real, large-scale data systems with direct business impact</li><li>High autonomy and meaningful technical ownership</li><li>Opportunity to influence architecture, standards, and best practices from the ground up</li></ul><p>Job Type: Full-time</p><p>Pay: From Rs150,000.00 per month</p><p>Work Location: In person</p>

ClickHouse Cluster Engineer, Distributed Analytics Platforms

aion

<div>
 <strong>
  About AION
  <br/>
  <br/>
 </strong>
 AION is building an interoperable AI cloud platform by transforming the future of high-performance computing (HPC) through its decentralized AI cloud. Purpose-built for bare-metal performance, AION democratizes access to compute and provides managed services, aiming to be an end-to-end AI lifecycle platform&mdash;taking organizations from data to deployed models using its forward-deployed engineering approach.
 <br/>
 <br/>
 AI is transforming every business around the world, and the demand for compute is surging like never before. AION thrives to be the gateway for dynamic compute workloads by building integration bridges with diverse data centers around the world and re-inventing the compute stack via its state-of-the-art serverless technology. We stand at the crossroads where enterprises are finding it hard to balance AI adoption with security. At AION, we take enterprise security and compliance very seriously and are re-thinking every piece of infrastructure from hardware and network packets to API interfaces.
 <br/>
 <br/>
 Led by high-pedigree founders with previous exits, AION is well-funded by major VCs with strategic global partnerships. Headquartered in the US with global presence, the company is building its initial core team in India.
 <br/>
 <br/>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 You're a solid engineer with 2-4 years of experience building backend systems and platform infrastructure. You write clean, well-abstracted code with proper design patterns and comprehensive test coverage. You're comfortable working on both the Compute Platform (multi-cloud orchestration, resource management) and Inference Platform (model serving, autoscaling) under the guidance of senior engineers and platform leads.
 <br/>
 <br/>
 You have strong proficiency in Golang and understand how to build maintainable, production-grade distributed systems. You take pride in code quality, enjoy collaborating on low-level designs, and are eager to learn from experienced engineers while contributing meaningfully to critical infrastructure components.
 <br/>
 <br/>
 You're product-minded&mdash;you understand how your technical decisions impact developers using AION's platform and think about the end-to-end user experience. You're a team player comfortable wearing multiple hats&mdash;one day you're building product features, the next you're joining customer calls to understand their deployment challenges, and the day after you're helping with UI/UX, customer success, documentation and product ops.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Platform Development &amp; Implementation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain platform services across AION's Compute and Inference platforms, working closely with senior engineers and platform leads
  </li>
  <li>
   Implement features for multi-cloud orchestration, resource scheduling, model deployment pipelines, and autoscaling systems
  </li>
  <li>
   Write well-maintained, production-grade code with proper abstractions, design patterns, and comprehensive test coverage
  </li>
  <li>
   Contribute to low-level design (LLD) including service APIs, database schema design, data models, and component interactions
  </li>
  <li>
   Collaborate with senior engineers on high-level design discussions, providing implementation perspectives and feasibility inputs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Backend Systems &amp; Distributed Infrastructure
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop RESTful APIs and gRPC services for platform control planes, resource management, and inference serving
  </li>
  <li>
   Design and implement database schemas for storing platform state, resource metadata, billing data, and observability metrics
  </li>
  <li>
   Work with distributed storage systems, message queues (Kafka, RabbitMQ), and databases (PostgreSQL, Redis) to build reliable platform components
  </li>
  <li>
   Build event-driven architectures for asynchronous processing, job scheduling, and platform automation
  </li>
  <li>
   Implement monitoring, logging, and alerting for platform services to ensure production reliability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Code Quality &amp; Engineering Excellence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Write comprehensive unit tests, integration tests, and end-to-end tests to ensure code reliability
  </li>
  <li>
   Participate in code reviews, providing constructive feedback and learning from senior engineers' perspectives
  </li>
  <li>
   Refactor existing code to improve maintainability, performance, and scalability
  </li>
  <li>
   Document design decisions, API specifications, and operational runbooks for platform services
  </li>
  <li>
   Debug production issues and contribute to incident response and post-mortems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 If you are meeting some of these requirements and feel comfortable catching up on others, we definitely recommend you to apply:
 <br/>
 <br/>
 <ul>
  <li>
   2-4 years of experience in backend engineering, platform development, or distributed systems
  </li>
  <li>
   Strong proficiency in Golang&mdash;you write idiomatic Go code with proper error handling, concurrency patterns, and testing
  </li>
  <li>
   Solid understanding of backend systems fundamentals: RESTful APIs, microservices architecture, and API design principles
  </li>
  <li>
   Hands-on experience with databases (PostgreSQL, MySQL) including schema design, query optimization, and transactions
  </li>
  <li>
   Familiarity with storage systems (object storage like S3, block storage, distributed file systems) and their use cases
  </li>
  <li>
   Experience working with message queues (Kafka, RabbitMQ, NATS) and event-driven architectures
  </li>
  <li>
   Understanding of distributed systems concepts: consensus, eventual consistency, fault tolerance, and retry mechanisms
  </li>
  <li>
   Experience with containerization (Docker) and basic Kubernetes concepts
  </li>
  <li>
   Knowledge of testing frameworks and practices (unit tests, integration tests, mocking)
  </li>
  <li>
   Familiarity with Git, CI/CD pipelines, and modern development workflows
  </li>
  <li>
   Exposure to cloud platforms (AWS/GCP/Azure) and their core services is a plus
  </li>
  <li>
   Experience with infrastructure-as-code (Terraform) or observability tools (Prometheus, Grafana) is beneficial
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus / Good to Have
  <br/>
  <br/>
 </strong>
 Having expertise in one or more of these specializations is highly desired:
 <br/>
 <br/>
 <ul>
  <li>
   HPC &amp; Cluster Management: Experience handling large-scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration
  </li>
  <li>
   Data Engineering: Expertise with data pipelines, ETL systems, and large-scale data processing frameworks
  </li>
  <li>
   Systems-Level Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm-d, system agents)
  </li>
  <li>
   ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine-tuning workflows, and Jupyter notebook orchestration systems
   <br/>
   <br/>
  </li>
 </ul>
 Enterprise Deployment: Experience platformizing and packaging software for on-premises deployments or customer VPC installations with emphasis on security, compliance, and operational simplicity
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Preferred Attributes:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Founder-level ownership and bias for action
  </li>
  <li>
   Strong strategic thinking and ability to connect technical decisions to business impact
  </li>
  <li>
   Excellent communication and mentoring skills
  </li>
  <li>
   Thrives in ambiguity, fast-paced environments, and early-stage startup culture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join AION?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work directly with high-pedigree founders shaping technical and product strategy
  </li>
  <li>
   Build infrastructure powering the future of AI compute globally
  </li>
  <li>
   Significant ownership and impact with equity reflective of your contributions
  </li>
  <li>
   Competitive compensation, flexible work options, and wellness benefits
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Apply Now:
  <br/>
  <br/>
 </strong>
 If you're a strong engineer ready to lead architecture and scale next-generation AI infrastructure, we want to hear from you. Please share:
 <br/>
 <br/>
 <ul>
  <li>
   Your resume highlights relevant projects and leadership experience
  </li>
  <li>
   Links to products, code, or demos you've built
   <br/>
   <br/>
  </li>
 </ul>
 A brief note on why AION's mission excites you.designs, and building reliable distributed systems that power AI workloads at scale.
</div>


Software Engineer, General

Capgemini

<div><div><div><p>Bangalore</p><div>
Lead AI Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><div><div><div><div>Long Description</div></div><div><div><p><b>
Location:</b> Bangalore
<br>
<b>Experience:</b> 7+ years</p><p>
Choosing Capgemini joining a team where you&rsquo;ll be empowered to build cutting-edge AI infrastructure, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in enabling scalable, fault-tolerant AI systems that power next-generation machine learning workloads.</p><p></p><p><b>
Your Role</b></p><p>
As an <b>AI Runtime Engineer</b>, you will design and optimize distributed AI runtimes that enable high-performance, multi-node, multi-GPU training at scale. You&rsquo;ll work closely with AI infrastructure teams to build elastic, fault-tolerant systems and ensure seamless orchestration for advanced AI workloads.</p><p></p><p><b>
In this role, you will:</b></p><ul><li>
Architect and implement <b>distributed AI runtime systems</b> with elastic scaling and job recovery.</li><li>
Optimize <b>performance at low levels</b> (CUDA, NCCL, PyTorch internals) for multi-GPU workloads.</li><li>
Develop <b>custom runtime architectures</b> for large-scale AI training pipelines.</li><li>
Integrate orchestration tools like <b>Kubernetes, Ray, TorchElastic, Horovod</b> for containerized AI workloads.</li><li>
Implement <b>fault recovery mechanisms</b> and observability hooks for runtime health monitoring.</li><li>
Collaborate with AI researchers and platform engineers to ensure efficient resource utilization and throughput optimization.</li><li>
Contribute to <b>CI/CD pipelines</b> for AI infrastructure and runtime deployments.</li></ul><p></p><p><b>
Your Profile</b></p><ul><li><b>
Mandatory Skills:</b><ul><li>
Hands-on experience in <b>distributed training systems</b>, multi-node/multi-GPU orchestration.</li><li>
Expertise in <b>PyTorch internals</b>, CUDA, NCCL, and performance profiling.</li><li>
Strong knowledge of <b>Kubernetes</b>, containerization, and orchestration frameworks.</li></ul></li><li><b>
Preferred Skills:</b><ul><li>
Experience with <b>TorchElastic</b>, Ray, Horovod.</li><li>
Open-source contributions to PyTorch or runtime libraries.</li><li>
Background in <b>HPC, compilers, or systems research</b>.</li></ul></li><li><b>
Education:</b><ul><li>
Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Engineering, or related field.</li></ul></li></ul></div><p></p><p><b>
About Us</b></p><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><p>
</p></div></div></div></div></div><div><div><div><div><div>Ref. code</div><div>
352835-en_GB</div></div><div><div>
Posted on</div><div>
08 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Bangalore</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Lead AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for passionate and talented software engineers who have experience building innovative, critical, high volume applications that customers love. This is a high visibility team where you will get a chance to make a positive impact on customer experience.<br>
<br>
IES Payments Tech Team&rsquo;s vision is to delight our customers with the best payment experience in the world! To achieve this vision, we are in search of a talented technical engineer and craftsman who builds robust software that scales as well as client-facing features which are intuitive and simple to use.<br>
<br>
Our team takes a world view of payments for all of Amazon and builds highly customized and seamless payment experiences for our global customers. This focus on geography and customer requires working on different technologies &amp; back-end systems in order to meet the needs of our customers. Our back-end systems are always available and guarantee that our customer&rsquo;s orders are never lost and always processed even when downstream services are down.<br>
Our team is highly motivated and in need of a engineer who can take the technical reigns of the team and steer them in the direction of our vision.<br>
You are a technical leader and craftsman with a proven track record of successful delivery. You are someone who will enjoy the challenge of working on complex and highly disparate technologies &ndash; from front-end Android development to back-end highly distributed systems. You are security-conscious and continually analyze software for potential threats to safeguard customer trust. You are interested in a high growth career opportunity and enjoy building software that brings smiles to our customers<br>
<br>
Key job responsibilities<br>
<ul><li>Work with the team to solve business problems.</li><li>Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.</li><li>Use software engineering best practices to ensure a high standard of quality for all of the team deliverables.</li><li>Write high quality distributed system software.</li><li>Work in an agile, startup-like development environment, where you are always working on the most important stuff.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul><br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Software Development Engineer, IES Payments

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 <br/>
 <br/>
 The company is founder-led, profitable, and growing.
 <br/>
 <br/>
 This is a general selection track for teams that focus on back-end REST API microservices engineering in Go and Python. It covers all levels of seniority. Apply here if you are already an outstanding engineer with crisp and well-articulated views on APIs, microservice design, engineering processes and DevOps.
 <br/>
 <br/>
 Our services need to scale to handle millions of Ubuntu clients, and collaboration across thousands of community members. They are also central to the health of critical infrastructure across the globe. As Ubuntu has been embraced by mainstream enterprise computing through the adoption of cloud and developer-centric tech strategy, the quality of these services has become more important to customers and users.
 <br/>
 <br/>
 While Ubuntu has been enormously successful and in many senses leads the industry, we think we can substantially improve our practices, quality and performance in the web services domain. We are growing our teams, and in doing so we aim to level up our insights on scalability, performance, resilience and DevOps practices.
 <br/>
 <br/>
 Key areas of interest for us are:
 <br/>
 <br/>
 <ul>
  <li>
   API design, documentation, and governance
  </li>
  <li>
   Database performance design considerations and skills
  </li>
  <li>
   Multi-region service delivery for resilience and performance
  </li>
  <li>
   Fuzzing and other proactive security analysis techniques
  </li>
  <li>
   Tracing and profiling for distributed systems insights
  </li>
  <li>
   Next-generation DevOps practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location
 </strong>
 : we have microservices teams with open roles in every time zone.
 <br/>
 <br/>
 What your day will look like
 <br/>
 <br/>
 <ul>
  <li>
   Write high-quality, well-designed, and robust software that works at scale
  </li>
  <li>
   Design APIs and software architecture for collegial review
  </li>
  <li>
   Write tests that validate software behaviour
  </li>
  <li>
   Build and maintain reliable, fault-tolerant applications and services
  </li>
  <li>
   Collaborate proactively with a globally distributed team
  </li>
  <li>
   Display technical leadership internally and within our external communities
  </li>
  <li>
   Debug issues and produce high-quality solutions to resolve them
  </li>
  <li>
   Contribute to technical documentation to make it the best of its kind
  </li>
  <li>
   Discuss, contribute to, and collaborate across teams at Canonical
  </li>
  <li>
   Work from home with global travel twice annually for company events
   <br/>
   <br/>
  </li>
 </ul>
 What we are looking for in you
 <br/>
 <br/>
 <ul>
  <li>
   An exceptional academic track record from both high school and university
  </li>
  <li>
   Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
  </li>
  <li>
   Drive and a track record of going above-and-beyond expectations
  </li>
  <li>
   Proficiency in Python and / or Go
  </li>
  <li>
   History of writing modern, maintainable software
  </li>
  <li>
   Experience with relational and non-relational database systems
  </li>
  <li>
   Continuous integration and continuous delivery experience
  </li>
  <li>
   Experience with systems programming or scalable web services
  </li>
  <li>
   Professional written and spoken English
  </li>
  <li>
   Experience with Linux (Debian or Ubuntu preferred)
  </li>
  <li>
   Excellent interpersonal skills, curiosity, flexibility, and accountability
  </li>
  <li>
   Passion, thoughtfulness, and self-motivation
  </li>
  <li>
   Excellent communication and presentation skills
  </li>
  <li>
   Result-oriented, with a personal drive to meet commitments
  </li>
  <li>
   Ability to travel twice a year, for company events up to two weeks each
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Skills That You Might Also Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with container tech such as LXD, Docker, and Kubernetes
  </li>
  <li>
   Understanding of build systems and toolchains
  </li>
  <li>
   Experience with cross-compilation
  </li>
  <li>
   Experience with hyperscale public clouds and / or private clouds
  </li>
  <li>
   Experience with designing, building, and running distributed systems
  </li>
  <li>
   Performance engineering and security experience
   <br/>
   <br/>
  </li>
 </ul>
 What we offer you
 <br/>
 <br/>
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 <br/>
 <br/>
 <ul>
  <li>
   Distributed work environment with twice-yearly team sprints in person
  </li>
  <li>
   Personal learning and development budget of USD 2,000 per year
  </li>
  <li>
   Annual compensation review
  </li>
  <li>
   Recognition rewards
  </li>
  <li>
   Annual holiday leave
  </li>
  <li>
   Maternity and paternity leave
  </li>
  <li>
   Employee Assistance Programme
  </li>
  <li>
   Opportunity to travel to new locations to meet colleagues
  </li>
  <li>
   Priority Pass, and travel upgrades for long haul company events
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Canonical
  <br/>
  <br/>
 </strong>
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 <br/>
 <br/>
 Canonical is an equal opportunity employer
 <br/>
 <br/>
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 <br/>
 <br/>
</div>


Microservices Engineer

Search 10000+ Distributed systems engineer jobs near you this January. New roles added regularly across leading industries. Apply today.