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Workday

Dev Ops or Cloud Engineer

IND.Pune5+ yearsFull Time

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team At Workday, the Community Team supports the collaboration and content website for our customers. The DevOps team is responsible for the infrastructure, deployment and operations of the systems used to manage and deploy code needed to maintain the Community website. We seek skilled and passionate engineers who proudly deliver quality code, effectively collaborate with various partners and love automation. About the Role Responsible for the design, implementation, and maintenance of Workday Community cloud production and development systems. Hands-on in deploying, monitoring, automating and managing enterprise solutions and services in AWS. Supports the tools, infrastructure and monitoring that enables the software development lifecycle. Focus on developer efficiency, release velocity, and product quality. Maintain an accurate picture of existing server, storage, networking software/hardware and virtual environments to support scaling against various project requirements and production demands. Work closely with Dev and QA teams to build and support continuous integration and deployment tooling. About You Basic Qualifications 5+ yrs of software, systems or networking development, with 2+ of those years in a dedicated software or network automation role Ability to work in a flex position requiring overlap of work time to be done on US (Pacific Time) hours Comprehensive experience with AWS Possession of a solid understanding of CI/CD and be able to build infrastructure as code (IaC) with tools like Terraform and CloudFormation Solid experience with Amazon S3, RDS, IAM, Elasticache, CDN, and Route 53 Understanding and proficiency in serverless environments such as EKS, ECS, and Fargate. Strong proficiency in shell scripting and Python Deep troubleshooting skills that involve analysis of logs, tracing traffic, verifying configuration data, and leveraging automation tools to resolve issues until end-to-end systems are functioning. Strong proficiency in Linux system administration and troubleshooting Other Qualifications Experience with coding, code reviews, and troubleshooting infrastructure Experience with infrastructure provisioning tools such as GitHub in production environments with many nodes. Knowledgeable about security, networking, and RDBMS/Database technologies (Postgres, MySQL, Redis). Experience with restful services, cloud architecture, distributed systems, cloud system (AWS) and micro-services. Strong vision to put pro-active solutions in place to prevent future problems, and automate processes so that engineers can self-service their operational requirements. Experience with deploying and maintaining Discourse and Drupal, as well as systems within Adobe Cloud Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. 🌟 Join Our Talent Community here! Stay connected with Workday: Get the latest news & content Be first to hear about new roles Never miss an opportunity 🌐 Career Site 💡 Benefits 🌟 Join Our Talent Community 📰 Workday Life Blog 🤝 Inclusion and Belonging 📄 Application and Interview Tips 🎓 Early Careers / Internships 📋Contractor Job Site 👩‍💻 Engineering, but brighter. 💼 Sales, but brighter. 🤝 CX & Consulting, but brighter. Visit our Career Site here. Read more below to learn more on our stance on being a proud equal opportunity workplace, pay transparency and accommodation support. Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at accommodations@workday.com.

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Visa

Staff SW Engineer

Highlands Ranch, CO2+ yearsFull-time

Visa Technology & Operations LLC, a Visa Inc. company, needs a Staff SW Engineer (multiple openings) in Highlands Ranch, CO to: Design and develop test plans and functional test cases from business requirements and conceptual documents with a focus on coverage, performance and automation. Provide 24X7 support to all NP VIP suite of applications in the production environment. Develop, enhance and maintain a framework for automated testing. Collaborate with the Development, Product and System Architecture teams to analyze, debug and resolve design and code issues. Work with a team of Engineers for the development and support of Network Processing VIP Applications. Work with cross-functional teams to ensure minimum to no disruption to the services. Diagnose and resolve problems in production to meet all service level agreements (SLAs). Designing and implementing test automation frameworks and solutions. Design and build test data mining and data generation tools and applications. Enhance, maintain existing automation test tools based on TPF, Java, JavaScript, C#, .NET, Python as applicable. Investigate bugs using various available tools and logs. Support production deployment activities and global business enhancement releases. Establish and maintain structured testing methodology, especially around automation. Champion security – work with cybersecurity to ensure all security vulnerabilities are remediated within Required Resolution Date. Respond to inquiries from users and technical support regarding functions and operations of software programs. Identify process improvements, error trends and/or the root causes and make recommendations for remedies to colleagues and management. Support cross-functional teams in integrated test efforts. Support emergency test activities for code patch addressing production issues. Position reports to the Highlands Ranch, Colorado office and may allow for partial telecommuting.

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Ebay

DataScience Manager Knowledge Management

Bengaluru, Karnātaka, India7+ yearsFULL_TIME

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role At the intersection of AI, data science, and product discovery, we're crafting the next generation of eCommerce experiences—and we're looking for a dynamic leader to help make that vision real. As Manager of Data Science – Knowledge Management, you'll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You'll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics. This is a high-agency, high-impact role embedded in our Product Knowledge organization, where you'll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage. What You'll Lead & Deliver Optimize Product Knowledge at Scale Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery. Build LLM-Powered Solutions Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence. Design Model Evaluation Frameworks Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems. Turn Data into Strategy Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution. Prototype & Experiment Rapidly Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions. Partner for Production Impact Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems. What You Bring 7+ years of experience in analytics, data science, or ML roles Advanced proficiency in SQL and Python for analytics, automation, and experimentation Familiarity with eCommerce discovery, product classification, and search or recommendation systems Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required) Strong grasp of model evaluation, including metrics design and benchmarking A startup mindset—bias for action, high ownership, and comfort with ambiguity Excellent communicator with the ability to influence cross-functional stakeholders Why You'll Love It Here Drive real impact at the core of product discovery innovation Work hands-on with cutting-edge AI and data platforms Collaborate with some of the best minds in AI, Product, and Engineering Own high-visibility projects in a startup-like, high-trust culture Build scalable, magical, and relevant product data systems used by millions

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Ebay

DataScience Manager Knowledge Management

Bengaluru, India7+ yearsFULL_TIME

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. About the Role At the intersection of AI, data science, and product discovery, we’re crafting the next generation of eCommerce experiences—and we’re looking for a dynamic leader to help make that vision real. As Manager of Data Science – Knowledge Management, you’ll be a key architect behind the structured data that fuels search, recommendations, and AI-driven personalization. You’ll lead with both hands-on expertise and strategic insight, bridging the worlds of LLMs, taxonomy, knowledge graphs, and scalable analytics. This is a high-agency, high-impact role embedded in our Product Knowledge organization, where you’ll drive meaningful innovation across catalog systems, metadata, and data-driven product experiences. If you thrive in a fast-paced, startup-like environment and are passionate about turning complex data into magical customer experiences, this is your stage. What You’ll Lead & Deliver • Optimize Product Knowledge at Scale Conduct deep analytical dives using SQL and Python to enhance taxonomy, ontology, and structured catalog data that directly impact product discovery. • Build LLM-Powered Solutions Use prompt engineering and retrieval-augmented generation (RAG) to create scalable, AI-powered tools for classification, data enrichment, and catalog intelligence. • Design Model Evaluation Frameworks Establish robust metrics and test beds to evaluate semantic search models, embeddings, and ML-powered classification systems. • Turn Data into Strategy Translate insights into action by partnering with Product, Engineering, and AI teams—driving roadmap priorities for catalog optimization, entity resolution, and knowledge graph evolution. • Prototype & Experiment Rapidly Move quickly to test ideas and validate structured data strategies. Build proof-of-concepts that can scale into enterprise-level solutions. • Partner for Production Impact Collaborate closely with applied ML, engineering, and product teams to refine and operationalize AI models in real-world, high-scale systems. What You Bring • 7+ years of experience in analytics, data science, or ML roles • Advanced proficiency in SQL and Python for analytics, automation, and experimentation • Familiarity with eCommerce discovery, product classification, and search or recommendation systems • Hands-on experience with LLMs, prompt engineering, or RAG (preferred but not required) • Strong grasp of model evaluation, including metrics design and benchmarking • A startup mindset—bias for action, high ownership, and comfort with ambiguity • Excellent communicator with the ability to influence cross-functional stakeholders Why You’ll Love It Here • Drive real impact at the core of product discovery innovation • Work hands-on with cutting-edge AI and data platforms • Collaborate with some of the best minds in AI, Product, and Engineering • Own high-visibility projects in a startup-like, high-trust culture • Build scalable, magical, and relevant product data systems used by millions

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Ebay

Senior Manager - Applied Research

Bengaluru, India10+ yearsFULL_TIME

At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Senior Manager, Applied Research – Shipping AI At eBay, we don’t just enable commerce—we shape how the world connects, trades, and thrives. If you’re driven by innovation, impact, and building at global scale, join us in redefining the future of e-commerce. About the Team Our Shipping team sits at the core of the end-to-end e-commerce experience. From influencing purchase decisions to ensuring a seamless post-purchase journey, we power trust and satisfaction for millions of buyers and sellers worldwide. We build and deploy advanced machine learning systems to tackle complex logistics challenges—accurate delivery predictions, cost optimization, carrier network modeling, and more. Operating at massive scale, we leverage modern MLOps to deliver high-performance, low-latency solutions across a global marketplace. The Opportunity We are building a next-generation Shipping Intelligence Platform powered by advanced AI technologies including deep learning, NLP, and large language models (LLMs). We are seeking a Senior Manager, Applied Research to lead a high-impact team of researchers and engineers. This leader will drive innovation from ideation to production—delivering scalable AI systems that directly impact customer experience, operational efficiency, and business outcomes. This is an opportunity to: - Lead & Grow Talent: Build, mentor, and lead a high-performing team of applied researchers and ML engineers. - Drive AI Innovation: Define and execute the AI/ML roadmap for shipping intelligence, leveraging NLP, LLMs, recommender systems, and multimodal learning. - Deliver at Scale: Own the end-to-end lifecycle—from research and prototyping to production deployment in a high-volume, low-latency environment. - Influence Product & Strategy: Partner with Product, Engineering, Analytics, and Operations leaders to shape the future of shipping experiences on eBay. - Advance Personalization & Recommendations: Drive strategies that improve discovery, engagement, and conversion across the marketplace. - Leverage Big Data: Work with large-scale structured and unstructured datasets, including multimodal inventory and user behavior data. - Optimize Marketplace Outcomes: Improve delivery speed, reduce shipping costs, and enhance accuracy in global logistics and classification systems. - Champion Technical Excellence: Establish best practices in MLOps, experimentation, and scalable system design. What You Bring: - MS/PhD in Computer Science, Machine Learning, AI, or a related field (or equivalent practical experience) - 10+ years of experience in ML/AI or software engineering, with significant leadership experience - Proven track record of leading applied research or ML teams in fast-paced, production-driven environments - Experience building and deploying production-grade ML systems at scale - Strong background in Machine Learning, Deep Learning, NLP, and Large Language Models - Hands-on experience with cloud platforms, big data pipelines, and distributed systems - Proficiency in programming (e.g., Java, Scala, Python) and high-scale web applications - Experience publishing research, patents, or technical thought leadership is a plus - Ability to translate cutting-edge research into real-world impact

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Ebay

Data Science- Analyst, Search

Bengaluru, India3-7 yearsFULL_TIME

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Ebay

Senior Manager, Search Product Analytics

Bengaluru, India8+ yearsFULL_TIME

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Role: Senior Manager, Data Science & Analytics – Search Product Analytics Lead Overview We are seeking a Senior Manager / Lead Data Scientist to own the Search Product Analytics function at eBay. In this role, you will partner closely with the Search product and engineering teams, using eBay’s vast data ecosystem to uncover insights, influence the Search roadmap, and drive customer-centric innovation across our marketplace. You will manage a team of data scientists, champion experimentation excellence, and develop analytics strategy for one of eBay’s most critical user experiences — Search. This role combines hands-on analytics depth, strategic impact, and leadership responsibility. Key Responsibilities 1. Strategic Analytics Leadership Serve as the analytics leader for eBay’s Search product, setting the vision for data-driven decision-making and influencing long-term strategy. Partner with Product, Engineering, and Business collaborators to define success metrics, establish analytical frameworks, and guide prioritization. Lead the end-to-end analytics roadmap for Search — from opportunity sizing and hypothesis generation to measurement, experimentation, and impact evaluation. 2. Experimentation & Measurement Develop, implement, and interpret A/B tests and causal inference studies to evaluate new Search experiences, ranking models, and personalization algorithms. Translate complex analytical outcomes into clear, actionable insights for non-technical audiences. Promote standard processes in experimental design, metric definition, and statistical rigor across teams. 3. Team Leadership & Development Lead, mentor, and grow a high-performing analytics team; develop career paths and champion a culture of curiosity, rigor, and impact. Partner with recruiting and analytics leadership to attract and retain top analytical talent. Provide coaching and technical mentorship to ensure consistent analytic quality and scalability across projects. 4. Cross-Functional Collaboration Act as the analytics link between Search, Personalization, Ads, and Buyer Experience teams to ensure well-rounded understanding of user intent and behavior. Drive alignment across product areas, ensuring consistent measurement standards and shared findings. Advocate for data democratization by building intuitive reporting, self-serve tools, and metric documentation. 5. Operational & Execution Excellence Evaluate feature and experiment performance, ensuring decisions are rooted in robust data analysis. Enable rapid insight generation through automation and scalable experimentation pipelines. Continuously improve analytical workflows and frameworks for speed and reliability. Required Skills & Experience 8+ years of experience in product analytics, data science, or experimentation roles; 2+ years leading analytics teams. Strong command of A/B testing design, causal inference, and experimentation measurement. Deep expertise in SQL, Python/R, and data visualization tools (e.g., Tableau). Strong foundation in statistics, machine learning fundamentals, and data-driven hypothesis testing. Proven record of delivering insights that drive measurable business and product impact. Able to translate data into actionable narratives and influence senior executives. Known to work in highly matrixed, cross-functional environments. Preferred Qualifications Advanced degree or equivalent experience in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, etc.). Experience in Search, Ranking, or Personalization analytics within e-commerce or digital marketplaces. Familiarity with big data platforms, experimentation frameworks, and LLM/AI tools Experience building or influencing data and metric infrastructure for large-scale experimentation systems. Strong presentation and partner management skills, with ability to influence at VP+ levels. What You’ll Gain Opportunity to shape the future of eBay’s Search experience, a core pillar of buyer engagement. High visibility and ownership over analytics strategy for one of eBay’s most data-rich domains. An environment that encourages innovation, curiosity, and technical excellence.

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Zeta

Senior Site Reliability Engineer

Hyderabad4-6 yearsFull-time

About us Build the future of banking. Zeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences. Our impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed by SoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025. Our focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including: 1. Tachyon, our cloud-native banking stack built for population-scale systems 2. Cipher, our unified authentication platform for secure, high-volume banking environments 3. Digital Credit as a Service, enabling banks to launch credit lines on UPI 4. Elena, our intelligent and conversational AI platform for banking 5. Pixel, India’s first digital-native credit card, launched in partnership with HDFC Bank, for whom we also revamped their PayZapp mobile app: Winner of the Celent Model Bank Award for Payments Innovation 2024 6. Sparrow, the leading card experience for non-prime cardholders in the US …and more across cards, payments, lending, and core banking. We are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. Reinforcing our commitment to creating an inclusive and supportive workplace, we have been consistently recognized as a Great Place to Work. If you want to build cutting-edge banking tech that enables banks to serve millions reliably, securely, and at a population scale, Zeta is your playground. If you would like to learn more about how we have grown and evolved over the years, watch our journey here. You can also explore our website and follow us on LinkedIn, Instagram, YouTube, and X. Responsibilities - Work to understand any arising issues and overall application performance by enacting monitoring solutions. - Conduct consistent and thorough analysis of current systems and work to reduce the quantity of existing problems, suggesting new solutions to help upgrade & refine such systems. - Provide support across a broad range of areas including monitoring, processes & tools, architecture, and Root Cause Analysis. - Develop and maintain monitoring and alerting systems to proactively detect and resolve issues. - Automate routine tasks to improve system efficiency and reduce downtime. - Troubleshoot and resolve incidents and outages. - Develop and implement automation scripts and tools to improve the efficiency and effectiveness of system management tasks. - Identifying areas for improvement, and designing solutions that are scalable, reliable, and easy to maintain. - Monitoring & acting on Alerts to avoid production outages, Incidents. - Upkeeping of Run books for the Alerts Skills - 4-6 years of sysadmin experience in handling large-scale distributed system software deployments in cloud or in an on-premises environment. - Strong cloud management foundation. - Unix shells, Python & Go programming proficiency. - Experience in MySQL or PostgresQL in database. - Outstanding teammate who can collaborate and influence in a multifaceted environment. - Excellent interpersonal, and written communication skills. - Excellent debugging and troubleshooting skills. - Ability to define standard operating procedures for supported platform features. - Experience working with observability tools and practices(Prometheus, Grafana). - Experience in troubleshooting and resolving incidents. - Cloud experience in AWS (preferred) including hands-on experience with AWS-CLI. - Hands-on experience in the Orchestration and Containerisation like Kubernetes, Containers. - Experience with CI /CD (i. e. Jenkins, ArgoCD). - Solid Understanding of Networking (firewall, connectivity, routing, iptables, subnet config, etc.). - Experience with Linux OS and Shell/Python Scripting. - Experience in programming with Python, Go - Experience with API Gateway like Kong, Nginx based systems. - Experience with security best practices and technologies. - BS degree in Computer Science or a related technical field involving coding, or equivalent practical experience Experience and Qualification - 4-6 years of sysadmin experience in handling large-scale distributed system software deployments in cloud or in an on-premises environment. Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success.

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Zeta

Site Reliability Engineer II

Hyderabad2-4 yearsFull-time

Site Reliability Engineer II role in CTO Office. Responsibilities include system reliability, automation, incident response, capacity planning, performance optimization, IaC with Terraform/Ansible, monitoring/logging, on-call support, security, disaster recovery, and continuous improvement. Skills: Python/Go/Shell, Ansible/Puppet/Chef/Terraform, Docker/Kubernetes, AWS/Azure/GCP, Prometheus/Grafana/ELK, networking, security, CI/CD, Git. Qualifications: 2-4 years SRE experience, B.Tech/M.Tech in CS/IT or related. Zeta is an equal opportunity employer.

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DE Shaw

Senior Member, Tech (Python Infra)

Hyderabad, Bengaluru or Gurugram4-6 yearsRegular FT

We are looking for a Software Developer to join our Python Infrastructure team based in the firm’s offices in Hyderabad/Bengaluru/Gurugram. The team focuses on building and maintaining software infrastructure in Python that powers a lot of applications across the firm. Products developed and maintained by the team form the basis of a lot of other applications across the firm that are critical to the day-to-day activities of the firm. As a member of the Python Infrastructure team, you will be responsible for building the Python foundation for the firm. The team delivers infrastructure solutions for analytic computations, data storage, and data services, which are developed primarily in Python. They work on efficient data storage and retrieval, creating high-performing and easy-to-use data structures and data analysis tools, parallel programming where they support effective use of our grid in Python, building server infrastructure that teams can use to make their own web servers, and building unit testing and documentation infrastructure in Python. The team strives for high performance in these foundational infra by doing a lot of optimizations of core libraries in lower-level languages and using compilation techniques in Python.

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