2877 Distribution System Jobs - Page 17

Design, develop, test, deploy, maintain, and improve software systems. Build our platforms, systems, and infrastructure leveraging your expertise in distributed systems and large-scale storage systems. Develop backend services that integrate with and ingest data from various cloud providers storing sensitive information. Build pipelines to analyze, classify, correlate, and process data, including systems to detect anomalies, resolve issues automatically, and generate insightful reports for customers. Manage individual project priorities, deadlines, and deliverables. Take end-to-end responsibility for the technical design phase, ensuring that systems are scalable and can meet high customer demands. Identify and solve bottlenecks within the software stack and continually bring innovation to the product. Provide technical leadership, guidance, and mentorship to the team, helping them grow into leadership roles and become effective coaches. Influence designs and plans beyond a single project or team, contributing both tactically and strategically. Innovate within your area, proposing and executing process improvements and technical initiatives to enhance team productivity. Serve as the domain expert, assisting the product team with future directions and leading technology initiatives. Work closely and at a high pace with engineers, product designers, and other key stakeholders to ensure your work addresses real-world problems and accelerates business growth. Operate in an agile environment, focusing on high velocity and adapting quickly to new insights and business needs. Experience you ll need & preferred qualifications: Bachelors or Masters degree in Computer Science or related field. 13+ years of industry experience with demonstrated expertise in solving complex problems. Strong proficiency in one or more general-purpose programming languages like Go, Java, C/C++, Scala, Python. Experience architecting and developing large scale systems Experience guiding other engineers in the design and implementation of scalable software solutions. Strong communication and collaboration skills. Experience with Google Cloud Platform/AWS/Azure or other public cloud technologies is a plus

Design & Build : Develop scalable CI/CD pipelines and infrastructure-as-code solutions using modern DevOps toolchains Developer Experience : Create self-service tools and frameworks within the CI/CD space that reduce developer toil and accelerate delivery cycles Reliability Engineering : Implement monitoring, alerting, and automated remediation for our owned services Collaboration : Partner with engineering teams to establish best practices and provide technical guidance through pipeline creation and optimization. What Youll Need: 4+ years of platform engineering, DevOps, or SRE experience in enterprise environments CI/CD Expertise : Hands-on experience with Jenkins, GitLab CI, GitHub Actions, or similar platforms Containerization : Production experience with Docker, Kubernetes, and container orchestration Programming Skills : Strong scripting abilities in Python, Go, or PowerShell Cloud Platforms : Working knowledge of AWS, GCP, or Azure services and architecture patterns Version Control : SCM experience including advanced Git workflows and branching strategies (Bitbucket, Gitlab) Preferred Qualifications: Configuration management experience (Ansible, Chef, Puppet, Salt) Monitoring and observability tools (Prometheus, Grafana, Logscale) Experience with GitOps methodologies (ArgoCD, Flux) Experience with IaC solutions such as Terraform, CloudFormation, or Pulumi

Strong experience with IaC tools like HashiCorp Packer and Ansible Expertise in operating system lifecycle management Experience with various consumer and enterprise operating systems (Windows, Linux, MacOS) operating at scale Familiarity with Infrastructure as a Service platforms including VMware, AWS, Azure, GCP and OpenStack Ability to lead the implementation and design of virtualization automation and IaaS capabilities, with a focus on image generation Experience designing, building, and maintaining CICD pipelines, particularly using Jenkins and GitLab Ensure proper monitoring, maintenance, and resilience of critical environments Ability to determine root-cause for incidents, correlate recurring incidents to systemic problems, and drive towards resolution Provide guidance on automating common tasks and deploying with an IaaS model Experience utilizing source-code repositories using git (Bitbucket, Gitlab, etc.) Strong command line skills and ability to understand scripts and programs for automation, tools, frameworks, dashboards, alarms (common uses: Python, Go) Experience with common scripting languages such as Python, Groovy, PowerShell Ability to document processes/procedures Ability to perform code-review for quality and adherence to company style guides What Youll Need: 3+ years of experience working in a large-scale production environment Excellent written and verbal communication skills are required 2-3 business-related trips per year for group meetings Must work effectively and professionally with cross-functional groups across divisions, worldwide, as part of a team Must be able to effectively work with a distributed team across multiple time zones Must exhibit meticulous attention to detail, and have the ability to make good, timely decisions Demonstrate self-learning capabilities, taking initiative in a fast pace/quickly changing environment Security-mindset, general understanding of cybersecurity principles

About Role You will contribute to the design and development of scalable and highly available data platform systems, working closely with senior engineers and SRE teams. You would solve deep problems around performance, scalability for data systems. You would help scaling and operationalising data systems working closely with SRE teams. You would be building these platforms and systems that will be used by other product engineering teams. Qualifications Bachelor s or Master s degree in computer science 10+ years of hands-on software(backend) development experience - most of which should be in the data platform space involving distributed systems Deep exposure to Streaming Technologies like Flink, Spark Streaming, Kafka Streams etc Deep exposure to Big Data Technologies like Hadoop, Spark, Kafka Deep exposure to OLAP stores like Pinot, Druid, Clickhouse Must have worked with open source technologies in the data platform space Familiarity with document datastores such as MongoDB Exposure to scaling and operating production data systems at 10K+ QPS Deep exposure to JVM based languages like Java, Scala, Kotlin Preferred - open-source contributions to major apache projects in the data space(e.g. Apache Spark or Kafka) Work Location Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week.

Drive the design, development, and enhancement of core features and functionalities of our observability platform, leveraging cutting-edge technologies to deliver scalable and reliable solutions. Collaborate with cross-functional teams to design and implement robust, scalable, and efficient systems that meet the demands of our growing customer base. Stay ahead of industry trends and emerging technologies, constantly researching and experimenting with innovative solutions to enhance our observability platform. Work closely with product managers, designers, and stakeholders to translate business requirements into technical solutions, advocating for best practices and promoting a collaborative work environment. Be proactive in identifying and addressing performance bottlenecks, applying optimizations, and maintaining the stability and availability of our platform. Encourage a culture of continuous learning, improvement, and innovation within the engineering team, sharing knowledge and promoting professional growth. This role requires Bachelors degree, software development, engineering, or a related technical field. 6+ years of experience working as a network engineer with coding / scripting experience and an aptitude for learning new languages quickly. Strong understanding of scalable distributed systems and microservices architecture, with the ability to design and implement solutions that meet performance and scalability requirements. Passion for exploring new technologies and finding creative solutions to complex problems, keeping up with industry trends and advancements in observability and related domains. Excellent collaboration abilities, with the capacity to work effectively with cross-functional teams, present ideas, and communicate technical concepts clearly. Experience / familiarity with network device monitoring solutions. Knowledge with network monitoring tools & protocols like SNMP, NetFlow, SFlow, IPFIX etc Experience / familiarity in managing / configuring network devices including Switches, Routers, Firewalls, Access Points, SD-WAN, et

Engineer well-designed, scalable, and resilient microservices in modern technologies. Deliver high-quality, performant software with an emphasis on scalability and reliability. Build thoughtful, high-quality code that is easy to read and maintain Collaborate with your team, external contributors, and others to help solve problems. Write and share proposals to improve team processes and approaches. This role requires 5+ years of experience as a Python Backend Engineer, developing production grade applications. Proficiency in back-end frameworks such as Django, Flask, or FastAPI. Expertise in Pydantic for data validation, type checking and construct robust models ensuring data integrity Strong knowledge of Pythons asyncio library and hands-on experience with asynchronous request handling. Familiarity with async libraries such as aiohttp or httpx. Competency in using Python threading and multiprocessing modules for parallel task execution. Knowledge of Coroutines. Understand the Global Interpreter Lock (GIL) and its implications on concurrency. Proficient in creating and consuming decorators for code reuse and abstraction. Skilled in designing and utilizing iterators and generators to manage data streams efficiently. Experience with testing frameworks like PyTest or Unit test to ensure code quality and reliability. Strong debugging skills in distributed systems. Proficient in using Git for version control and experience with CI/CD pipelines using tools like Jenkins or GitLab CI. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Strong knowledge of fundamental data structures such as lists, sets, dictionaries, and trees. Ability to implement and optimize algorithms for problem-solving and performance tunin

Leading an investigation and the engineering solutions for emergent issues. Being empowered to pull engineers together as a team to fix customer problems. Acquiring a broad and deep understanding of Pure Storages full software stack. Presenting complex product issues & solutions to engineering peers, as well as executives, representing our customer s interests. Creating and maintaining services and tools to diagnose and protect the health of an ever growing fleet. Creating next generation analytics to monitor our fleet s health and anticipate new problems. Representing Pure Storage Engineering in interactions with customers to enable million dollar deals. Participating in our on-call rotation to rapidly respond to product outages world-wide and help FlashBlade maintain and improve our world-class uptime. WHAT YOU LL NEED TO BRING TO THIS ROLE... You already have a solid background in software development along with experience with linux, system administration, networking, and storage. A history of learning new technologies on the job indicates a strong fit for this role. Ideal candidates will come from Software Development background. In addition, you may identify with some of the following: Natural curiosity, obsessive attention to detail and innate troubleshooting skills Ability to analyze complex systems and describe in simplest terms Experience with Big Data production environments Ability to speak and write without offending unless intended 3-6+ years relevant work experience We speak python, C++, and linux. What are your languages

You ll Do: As a Site Reliability Engineer, you will join our team to help grow our systems into best-in-class for efficiency, stability, observability, velocity, and scale in the e-commerce space, engage with the product and engineering team from Day 1 to design, build and maintain the system/software proactively. Influence the design and architecture of Wayfair system as part of our Cloud Enablement journey while maintaining our critical pieces of legacy tools; collaborate with development teams to design scalable and reliable systems, considering aspects such as fault tolerance, availability and performance. Be the bridge between software engineers and platform engineers to develop and optimize repeatable systems so each side can leverage each other. There s a wide range of opportunities to both guide the broad conversation and dive into the nuance of our code & architecture. Help service owners build realistic SLOs, set SLAs and error budgets, and ensure production services have reliability built into their design. Even after self-healing and automation done by you provide production support and creatively solve challenging engineering problems across our stack. Participate in the teams on-call rotation. Automate repetitive tasks to increase efficiency and reduce human error. Mentor new hires and other engineers by example. Opportunities to lead tech talks, paired programming sessions, and more to increase technical efficiency across the organization. What You ll Need: 3-5 years experience working in DevOps or SRE role, or software development with an understanding of Cloud Infrastructure. Experience with cloud platforms GCP, AWS, Azure, and containerization technologies (e.g. Docker, Kubernetes). Experience with server-side software engineering (Python, Go, Java, BASH, etc) Design experience with distributed systems, microservices architecture, and related technologies. Strong understanding of monitoring and alerting, with a focus on performance monitoring and tracing instrumentation & SLI/SLO/SLAs. Knowledge of CI/CD pipelines and version control systems (e.g., Buildkite, Github Actions, Gitlab CI/CD). Knowledge of configuration management tools (e.g. Puppet, Ansible, Chef, Terraform). Excellent communication skills across engineers, product managers, and business stakeholders alike. Passion for leading a large, cross-cutting technical initiative to delivery, cross-functional consensus building and influencing design decisions. Ample experience gathering and balancing requirements from technical and business stakeholders, and reaching consensus on prioritization. Experience mentoring engineers and leading code reviews.

Design, develop, test, and deploy high-performance Java applications Implement complex business logic, algorithms, and time series programs (problem-solving skills like LeetCode required) Build RESTful Web Services and microservices using Spring Boot and Spring MVC Leverage Java 8+ features (Lambdas, Streams), Collections, Generics, and advanced multithreading Focus on performance, reliability, scalability, and security Integrate with messaging systems (JMS, Kafka, RabbitMQ preferred) Collaborate in Agile/SCRUM teams, participate in code reviews, and provide mentorship Core Skills Required: Core Java 8+, with strength in Lambdas, Streams API, Collections, Generics, Multithreading Advanced programming & algorithmic problem-solving skills Proven expertise in Spring Boot, Spring MVC, microservices architectures REST API design and integration Experience with Java Messaging frameworks/tools (JMS, Kafka, RabbitMQ preferred) Proficiency in Git and Maven Agile/SCRUM development exposure Bonus Skills (Optional): Cloud-native deployments (AWS, Azure, GCP) CI/CD pipelines, Docker, Kubernetes Performance tuning and distributed systems knowledge

As a Senior Software Engineer - Backend , youll design and implement backend solutions. Youll collaborate with cross-functional teams to deliver high-quality products. Design and develop scalable backend systems. Optimize system performance and reliability. Mentor junior engineers. What do you need to bring 5 + years of backend development experience and a bachelor s degree in computer science or related field. Proficiency in at least one backend language (Java, Python, Ruby on Rails) Advanced proficiency in backend development with either Java EE frameworks, including experience with Spring MVC, or Hibernate. Experience designing and implementing RESTful services, focusing on scalability and reliability, using Java. Proven ability to mentor junior engineers and contribute to code reviews and design discussions. Experience with cloud platforms (AWS, GCP, Azure) Experience with databases (SQL, NoSQL) Strong understanding of database design, including SQL and NoSQL databases, and experience with ORM tools

Essential Responsibilities Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system Determines the technical tasks that other engineers will follow Actions result in the achievement of customer, operational, program or service objectives Proactively improves existing structures & processes Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems Notices patterns and condenses repetition into densely meaningful generalized solutions Collaborates with management to set/improve standards for engineering rigor Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations Minimum Qualifications Minimum of 8 years of relevant work experience and a Bachelors degree or equivalent experience.

Design, implement, test and maintain scalable and efficient ETL/ELT pipelines to ingest and transform large datasets from diverse sources. Architect, build, test and optimize data warehouses and data lakes, focusing on data consistency, performance, and best practices for analytics. Implement data quality checks, validation rules, and monitoring to ensure data accuracy, integrity, and security. Contribute to data governance initiatives. Continuously monitor and enhance database and query performance, identifying opportunities to streamline and improve data retrieval times. Define and design frameworks for monitoring data quality and data pipelines Monitor Google BigQuery consumption. Evaluate, select, and integrate new tools and technologies to enhance data capabilities. Automate manual processes to improve efficiency and accuracy. Mentor junior engineers, sharing best practices in data engineering and analysis, and helping to build a culture of technical excellence within the team. Proactively lead streams of data engineering work, collaborating with stakeholders and other non-engineering roles to come up with creative solut ions to the problems your team is presented with. Work with both data producers and consumers to optimise existing data products and the data within them to meet evolving business needs. Work collaboratively with other engineers, u sing t echniques like pair and ensemble programming, to foster collective ownership and help upskill, reskill and learn from other team members. Help guide technology choices, adopting company-standard tech stacks by default while responsibly investig ating alternative tools and services and looking for opportunities to innovate. Skills & experience Technologies you will be working with SQL, Python, Google Cloud Platform (GCP), and Google BigQuery Data pipeline tools such as Apache Airflow and DBT Data modeling concepts, including dimensional and star schema design Data visualization tools like Looker

You have overall 5 to 7 years of experience and 4 to 6 years in Site Reliability Engineering. In-depth knowledge of system architecture, networking, and distributed systems. Expertise in designing and implementing reliable, scalable, and fault-tolerant systems. Proficiency in setting up and managing monitoring, alerting, and logging systems for early detection and resolution of issues for container orchestrators like Kubernetes using Tools like Prometheus, Grafana, Open Telemetry Collector or similar tools. Hands-on experience in incident management, including incident response, troubleshooting, and post-mortem analysis. Proficiency in coding/scripting languages commonly used in infrastructure automation and monitoring (such as Terraform). Familiar with deployment process and strategies. Knowledge of best practices in disaster recovery planning and execution for cloud based Systems. Capability to advocate for SRE best practices and principles within the organization and drive cultural changes as needed. Willingness to stay updated with the latest trends, tools, and technologies in the field of site reliability engineering. Strong communication skills to effectively collaborate with cross-functional teams, including Software Developers, Product Owners, and Cloud Platform Engineers. In-depth knowledge of system architecture, networking, and distributed systems.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You will develop intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will use different distributed storage and computing technologies from the plethora of options available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will collaborate with the team on the areas of data governance, data security and data privacy. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. You have experience in writing clean, high-quality code using the preferred programming language. You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. You have experience with data visualization techniques and can communicate the insights as per the audience. You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

HIRING FOR TRAVEL ASSOCIATE- CHENNAI Job Summary: We are seeking a detail-oriented and customer-focused Associate with Amadeus experience to join our travel operations team. The ideal candidate will have hands-on expertise in using the Amadeus Global Distribution System (GDS) for reservations, ticketing, reissuance, cancellations, and itinerary management. This role requires excellent communication skills, accuracy in handling customer bookings, and the ability to work in a fast-paced environment. Key Responsibilities: Use Amadeus GDS to book flights, process cancellations, reissues, and modifications. Handle PNR creation, fare quoting, ticket issuance, and revalidation. Manage and resolve customer queries via email, chat, or phone related to travel bookings. Ensure accurate application of airline fare rules, taxes, and penalties. Monitor queues and ensure timely action on bookings, schedule changes, or special requests. Collaborate with internal teams or external suppliers (e.g., airlines, hotels) to resolve booking issues. Maintain high standards of service quality and customer satisfaction. Keep up-to-date with airline policies, travel restrictions, and GDS updates. Required Qualifications: Minimum 1 2 years of experience working with Amadeus GDS in a travel agency, airline, or corporate travel setting. Strong knowledge of airline booking procedures, fare construction, and ticketing rules. Excellent communication skills (spoken and written). Familiarity with international and domestic itineraries, including multi-sector and group bookings. Attention to detail and strong problem-solving skills. Proficient in MS Office tools (Word, Excel, Outlook).

Why This Role Matters: The complexity of healthcare benefits makes decision automation critical. As a Rules Engine Engineer , you ll be at the heart of this challenge designing and implementing rules that determine what members can buy with their benefits. Your work directly shapes member experience, prevents misuse, and ensures compliance with Medicare regulations. If you enjoy building high-performance, logic-driven systems that solve tough real-world problems, this role is for you. What You ll Do: Own the rules layer : Design, implement, and optimize decision logic using Sparkling Logic SMARTS . Build real-time adjudication flows for transactions at grocery and pharmacy point-of-sale systems. Translate complex requirements into executable rules by collaborating with US-based product and compliance teams. Debug, test, and tune rules to handle edge cases, scale to high transaction volumes, and minimize false rejections/approvals. Version, deploy, and maintain rules with best practices for governance, traceability, and rollback. Continuously improve accuracy, performance, and maintainability of the adjudication rules engine. What We re Looking For: 2+ years hands-on experience with Sparkling Logic SMARTS (preferred) or other business rules engines (Drools, ODM, Blaze, etc.). Strong grasp of decision modeling (DMN), rule authoring, and lifecycle management . Solid programming/scripting skills for integration (Java, Python, or similar). Ability to debug distributed systems and reason through complex rule interactions. Experience in fintech, healthcare, or other transaction-heavy, regulated domains is a big plus. Strong communication skills comfortable working with US teams across time zones. A mindset that balances engineering precision with business pragmatism . What You ll Get: The chance to work on mission-critical systems where every rule you write has immediate impact. Exposure to both fintech scale challenges and healthcare compliance complexities . A collaborative global engineering culture that values technical ownership and problem-solving. Competitive pay, growth opportunities, and the ability to help redefine healthcare payments .

Who we are Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster even after full-scale disasters like floods and hurricanes. Tractable has a world-class culture, backed up by our team, making us a global employer of choice! Were a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. Were seeking a Senior Machine Learning Engineer to build and scale our ML & data platform, empowering AI innovation. Youll shape infrastructure, drive best practices, and foster team growth. This will be a 6 month contract. Your impact Build & Scale: Design, build, and maintain our core ML infrastructure and data platform. Enable ML Acceleration: Optimise the ML lifecycle from research to production. Champion Excellence: Drive technical direction and promote best engineering practices. Support & Grow: Enable Research and Product teams and mentor colleagues. Ensure Reliability: Build robust, scalable systems and tackle performance challenges. What youll need to be successful End-to-end ML Pipelines: Experience building and managing ML workflows and data infrastructure Strong Python & Software Skills: Solid software engineering foundation and 2+ years of Python experience Cloud & IaC: Expertise in cloud platforms (ideally AWS) and Infrastructure-as-Code Scalable Systems: Ability to design robust, distributed systems Collaboration & Communication: Excellent communication and teamwork abilities Preferred experience Proven track record with 5+ years of experience in managing ML Infrastructure & Ops or equivalent responsibilities Atleast 3+ years building scalable ML systems GPU scaling experience Tooling development for internal users Numerical computing skills Basic ML knowledge (computer vision a plus) Familiarity with our Tech Stack Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

DragonFlyTest is the brainchild of our vision to help our clients deliver bug-free software to end users by taking their creative creations to new levels to enhance their experience. Distributed Platform/Blockchain Tester (3-5 Years Experience) - Software Testing Services | Quality Assurance | DragonFlyTest Key Responsibilities: Design and execute comprehensive test strategies for blockchain and DAG-based distributed platforms including Hedera, IOTA, Sui, and similar networks to ensure system reliability and performance. Leverage 3 to 5 years of proven hands-on experience testing distributed systems to identify complex network issues, transaction failures, and consensus mechanism problems. Perform thorough testing of transaction processing, state synchronization, and data consistency across multiple nodes in distributed network environments. Collaborate effectively with development teams to validate fixes, debug system issues, and ensure seamless integration of network components and consensus algorithms. Analyze account state updates, transaction details, and network behavior to identify discrepancies, bottlenecks, and potential security vulnerabilities in distributed systems. Conduct load testing, stress testing, and chaos engineering to evaluate network throughput, transaction processing capacity, and system resilience under various failure scenarios. Test peer-to-peer communication protocols, message propagation, and network partition scenarios to ensure robust inter-node connectivity and data integrity. Continuously stay up to date with the latest developments, testing methodologies, and emerging technologies in blockchain, DAG platforms, and distributed systems testing. Required Skills: Strong understanding of blockchain/DAG architecture, consensus algorithms, and distributed system principles with practical testing experience. Mandatory and demonstrable expertise in testing at least one major blockchain platform or DAG- based system such as Hedera Hashgraph, IOTA, or Sui. Good to have experience with multiple blockchain platforms like Ethereum, Bitcoin, Hyperledger, or other distributed ledger technologies. Solid understanding and practical application of network protocols including TCP/IP, P2P networking, and gossip protocols for distributed communication. Proven ability to analyze transaction logs, block data, and identify state inconsistencies across distributed network nodes. Proficient in using testing frameworks and monitoring tools specifically designed for distributed systems and blockchain platforms. Preferred experience with cryptographic concepts including hashing, digital signatures, merkle trees, and their implementation in distributed systems. Strong problem-solving and debugging skills, including experience with chaos testing, network partition testing, and Byzantine fault tolerance scenarios to identify and resolve distributed system issues effectively.

Hands On Experience in Front End and Back End Development. Clear understanding and application knowledge of Object Oriented concepts Java, SOA and Web Services (REST SOAP) required. Experience in Java 8, Spring, Spring Boot, Microservices, JPA, ORM Tools, and Cloud technologies Experience of Java Microservices architecture Experience with designing, implementing, and deploying microservices in distributed systems Good to have knowledge and experience of deploying to application in Cloud using Jenkins. CI/CD tools like Git, Jenkins Knowledge of SQL Career Level - IC2 Back-End Development : Design and develop robust Java-based applications, adhering to Object-Oriented Programming principles. Implement RESTful and SOAP web services to support seamless data exchange. Gain experience with Java 8, Spring, and Spring Boot to develop microservices. Ensure seamless communication between microservices using RESTful APIs. Utilize JPA and ORM tools to interact with relational databases efficiently. Write optimized SQL queries for data retrieval and manipulation. Microservices Architecture : Database Management :

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex s Global Loyalty and Benefits organization and lets lead the way together. Global Loyalty and Benefits Global Loyalty and Benefits powers the Membership Reward points, Amex Offers, Insurance, and Card benefits for 112+ million cards in 58+ markets worldwide. This Position is for Global Loyalty and Benefits Engineering Department. About the job We are looking for individuals who are driven to help in our transformation journey as we decommission legacy applications and move to our modern platform that is based on event driven architecture and employs cutting edge technologies such as Golang, Docker, Kafka and Postgres. This platform is highly scalable and capable of supporting up to 10,000 TPS. Key Responsibilities: Understand the Loyalty and Benefits domain and how it powers the AMEX experience for customers Learn and support our legacy applications and modern platforms to develop a deep understanding of all functional workflows. Work closely with product owners and/or other technology counterparts globally as needed to further our initiatives targeting business growth, cost savings, platform maintenance and platform modernization. Participate in agile development processes including sprint planning, stand-ups, demos and retrospectives Be actively involved in coding, code reviews and unit and E2E testing. Assist with production deployment and ensure smooth CI/CD pipeline process. Co-ordinate delivery of the project across global teams. Manage risk through all stages of project life cycle. Be a role model for engineering excellence within the team driving adoption of CICD and DevOps practices. Take ownership on the initiatives you work. Minimum Qualifications : Bachelors degree in computer science, computer science engineering, or related experience required with 4+ years of experience in software development Ability to independently work with product and business to gather requirements, architect and implement solutions. Experience in software development in Go, container-based technologies (docker, Kubernetes), GIT, Jenkins, TDD/BDD, mocking frameworks, CICD gates on security, code coverage and code quality. Experience with distributed systems, micro services architecture (REST) and messaging services such as Kafka. Experience working with relational/NoSQL databases Experience working with Comcast Rulio or some type of rules engine. Ability to work in a team environment as well as independently Commitment to write clean maintainable code with good documentation practices

Solve complex problems related to infrastructure cloud services and build automation to prevent problem recurrence. Design, write, and deploy software to improve the availability, scalability, and efficiency of Oracle products and services. Design and develop designs, architectures, standards, and methods for large-scale distributed systems. Facilitate service capacity planning and demand forecasting, software performance analysis, and system tuning. Work with Site Reliability Engineering (SRE) team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services. Responsible for the design and delivery of the mission critical stack, with focus on security, resiliency, scale, and performance. Authority for end-to-end performance and operability. Partner with development teams in defining and implementing improvements in service architecture. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilize a deep understanding of service topology and their dependencies required to troubleshoot issues and define mitigations. Understand and explain the affect of product architecture decisions on distributed systems. Professional curiosity and a desire to a develop deep understanding of services and technologies.

Position Summary... What youll do... About the team As a Sr. Software Engineer within the Walmart Merchant DS team, you will be responsible for architecting and building orchestration solutions that support real-time, offline, and batch processing for AI, machine learning, and data-driven workloads. You ll collaborate closely with the DS teams to deliver robust, scalable, and user-friendly infrastructure that streamlines the development and deployment of models. What You ll Do Work with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools Help to guide the AI/ML Platform Engineering team s efforts based on first-hand experience on projects using our tools Work with partners in data platform, general computing, and similar teams to ensure the AI/ML org has the data, computing resources, and workflows/abstractionsneeded to do our best work Be part of the team responsible for helping deliver an enterprise-grade AI-driven data and messaging platform Help run our ML/AI infrastructure with tools like VertexAI, Element and k8s. Design, build, and maintain scalable infrastructure-as-code (IaC) Help deliver next-level metrics, monitoring, visualization, and alert tooling to give Data Scientists, Developers, QA Engineers and SREs deep visibility into the health of the services across all environments Assist the rest of Production Engineering in protecting the health of the Production environment Work with the QA/TestEng and SRE teams to make the deployment process as efficient and boring as possible Work with architects to implement the baseline technologies, policies, and practices to build a high-velocity, high-security, strong compliance platform that allows scaling to support exponential growth Debug issues across environments, services, and tools Establish strong relationships with other teams in order to positively influence them in their pursuit of automation and toil reduction, and to keep the rest of our team apprised of upcoming initiatives What You ll bring Bachelors degree in Computer Science, Engineering, or related field 5+ years of experience in ML Ops, data engineering, or a related field Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn Python Expertise: A deep understanding of Python and its principles, with the ability to apply them effectively. Python will be your primary language, with some use of JavaScript. Code Quality Leadership: Responsible for code reviews and setting high code quality standards for the team. Architectural Design Experience: Demonstrated experience in leading architecture design. ML Pipeline Expertise: Extensive knowledge and experience in building scalable, distributed end-to-end machine learning pipelines and services. Technical Proficiency: Highly skilled in the technologies we use and learn daily, including API Design, scaling applications, distributed systems, Python (ML, APIs, workflows), Cloud Platforms (Azure, GCP), Kubernetes, Kafka, Airflow, and SQL. Software Engineering Fundamentals: Strong foundation in software engineering/API design fundamentals, with the ability to write production code when needed. Intellectual Curiosity: A passion for GenAI, MLOps, and cloud technologies, and a desire to stay current with advancements in the field. About Walmart Global Tech . . Flexible, hybrid work . . . . Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

Director of Software Engineering, Enterprise Systems About the Role At Ethos , technology is the foundation that powers our mission to protect One Million Families. As Director of Engineering within our Enterprise Systems group , you will lead a high-performing organization responsible for the platforms that underpin our business: policy lifecycle development, policy administration, and customer-facing portals. You will own the strategy, architecture, and delivery of these mission-critical systems ensuring they are secure, resilient, and scalable to meet the needs of our customers, partners, and internal teams. Partnering with Product, Operations, and Executive leadership, you ll balance rapid delivery with long-term platform health while cultivating a culture of engineering excellence across distributed teams. Our stack: Our backend runs on Node.js and Postgres, hosted on AWS. Our front end is built in React/Redux, with modern CI/CD pipelines, observability, and a growing investment in AI capabilities Key Responsibilities 1. Technology Strategy & Delivery Define and execute the engineering strategy and roadmap for Enterprise Systems Drive architectural decisions that ensure scalability, reliability, security, and extensibility across large distributed systems . Ensure predictable, high-quality delivery of enterprise features and enhancements. Champion integration and interoperability between platforms Drive best practices in distributed system design, observability, DevSecOps, and regulatory compliance . Partner cross-functionally to align enterprise system investments with business outcomes. 2. People & Organizational Leadership Recruit, develop, and retain world-class engineering talent , building diverse and inclusive distributed teams. Mentor and grow both engineering managers and ICs, establishing clear career paths and leadership development opportunities. Foster a culture of autonomy, accountability, psychological safety, and continuous learning. Strengthen engineering processes (e.g., technical design reviews, onboarding, knowledge sharing) to enable scale and consistent delivery. Establish Ethos as a destination for top engineering talent by shaping a strong internal and external technology brand. Qualifications & Skills 5+ years of senior engineering leadership experience in high-growth or enterprise-scale organizations. 10+ years of software engineering experience with a track record of shipping large-scale, distributed, and mission-critical systems . Proven success managing teams of 15+ engineers , including both ICs and managers. Deep expertise in cloud-native architectures (AWS or equivalent), multi-region deployments, distributed databases, and event-driven systems. Experience designing and scaling secure, high-throughput APIs and real-time data pipelines. Hands-on knowledge of observability practices (metrics, logging, tracing, alerting) to ensure reliability and proactive incident response. Proven experience with data management at scale (transactional integrity, policy lifecycle data models, customer privacy, regulatory compliance). Familiarity with enterprise integration patterns (service mesh, messaging queues, workflow orchestration, API gateways). Demonstrated ability to implement DevSecOps practices across distributed teams. Skilled at balancing long-term platform investments and immediate business needs . Bonus: Experience with insurance-grade systems such as policy administration platforms or regulated customer portals.

Position Summary... What youll do... About Team: Our team is dedicated to creating an associate platform for agents, which is essential for managing the support experience of Walmart marketplace. We focus on developing a system that allows agents to efficiently view and resolve seller issues, interact seamlessly with other marketplace systems, and implement automation for manual resolution steps. Our goal is to enhance operational efficiency and adhere to Walmarts philosophy of Everyday Low Cost by reducing costs through innovative solutions. What youll do: Through this role you have an opportunity to develop intuitive software that meets and exceeds the needs of the customer and the company. You also get to collaborate with team members to develop best practices and client requirements for the software. In this role it would be important for you to professionally maintain all codes and create updates regularly to address the customer s and company s concerns You will show your skills in analysing and testing programs/products before formal launch to ensure flawless performance Troubleshooting coding problems quickly and efficiently will offer you a chance to grow your skills in a high-pace, high-impact environment. What youll bring: Minimum 6+ years of experience in object-oriented programming and developing spring based micro services in Java 4+ years of experience in building of large scale data pipelines using big data technologies (i.e. Spark / Kafka / Cassandra / Hadoop / Hive / Presto / Airflow). 5+ years of experience in systems design, algorithms, and distributed systems Java: Extensive hands-on experience in designing, developing, and maintaining enterprise-grade applications using Java, Spring Boot, REST APIs, and microservices architectures. Python (GenAI): Beginner-level exposure to Python for generative AI projects, experimenting with model orchestration, prompt engineering, and AI-driven solutions. MCP Tools & Agents: Familiar with Model Context Protocol (MCP) tools and building/working with AI agents to orchestrate complex workflows. A2A Protocol: Exposure to application-to-application (A2A) protocol for seamless integrations and communication between distributed systems. Langgraph & Langchain: Beginner-level experience with Langgraph for agentic workflows and Langchain for chaining LLM-based tasks and building proof-of-concept solutions. About Walmart Global Tech . . Flexible, hybrid work . Benefits . Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

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