Staff Automation Engineer Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Staff Engineer Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect level) Role Overview: Strategic Quality Leadership We are seeking a Staff Engineer to lead Solutions Test Automation for our next-generation Network Management System (SMx). This is a high-impact, strategic role requiring a deep mastery of networking protocols and modern GUI automation. You will drive complex automation projects, mentor junior engineers, and integrate AI-driven tools to redefine our testing methodologies and product reliability. Technical & Domain Expertise Networking & Fiber Optics: L2/L3 Protocols: Strong understanding of OSPF, BGP, ISIS, VLAN, and VRF. Protocol Mastery: Expert knowledge of Ethernet, TCP/IP, and SNMP. Telecom Infrastructure: Experience with fiber optics technology such as GPON and XGSPON is a significant advantage. Automation Stack: Frameworks: Proficiency in Robot Framework, PYART, and Playwright. GUI & API Testing: Extensive experience developing automated tests for complex enterprise GUI applications. Programming: Strong Python proficiency for script and framework development. DevOps Integration: Ability to integrate automated suites into CI/CD pipelines (Jenkins, GitLab) using Docker/Kubernetes. Key Responsibilities Leadership & Mentorship: Team Guidance: Mentor junior engineers, conduct rigorous code reviews, and foster a culture of technical excellence. Project Ownership: Drive the full automation lifecycle from strategy and environment planning to execution and results analysis. Innovation & Quality: AI-Driven Testing: Incorporate AI/ML tools (self-healing tests, visual validation) to enhance efficiency. Scenario Design: Leverage domain expertise to design realistic network topologies and simulate complex customer use cases. Continuous Improvement: Propose and implement enhancements in tools and methodologies to increase test coverage and reliability. Qualifications & Preferred Skills Experience: 12+ years in QA/Test Automation with a track record in progressively responsible leadership roles. Education: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Industry Context: Prior experience with NMS/EMS products (e.g., Calix AXOS, Cisco Prime) or OSS/BSS systems is a major plus. Soft Skills for Success Communication: Ability to explain complex technical networking concepts to non-technical stakeholders. Proactiveness: Staying updated on the latest industry trends and experimenting with new tools. Collaboration: A team player comfortable working in a hybrid environment with global teams. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Senior IT Operations Engineer Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Staff Finance Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader advancing industrial digital transformation through AI and data with flagship products like Cognite Atlas AI and Cognite Data Fusion. We are recognized as innovators and partners of choice in sectors including Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview Join Cognite s Global IT Operations team in Bengaluru, where you will design, deploy, and maintain cloud infrastructure and IT systems critical to business operations. Your role will encompass managing Azure and SaaS platforms, automating processes, troubleshooting complex issues, and collaborating with teams to enable seamless IT services. Key Responsibilities Architect and manage cloud infrastructure solutions across Microsoft Azure, Google Workspace, and Atlassian tools. Handle IAM, user provisioning, and SaaS management with in-depth expertise in Microsoft Intune, Jamf Pro, and security tools. Develop automation using Terraform, PowerShell, Python, and manage CI/CD pipelines with GitHub. Provide hands-on support including access management, technical troubleshooting, and resolving issues across diverse SaaS platforms (Azure, GWS, Atlassian, Slack). Document IT processes and collaborate with internal teams to enhance IT operations. Your Profile 5 8 years experience in IT Cloud Infrastructure and IT Operations. Strong expertise in Microsoft EntraID, Intune, Azure, Google Workspace, and Atlassian products (Jira, Confluence). Proficient in scripting and automation with PowerShell, Python, Terraform, and GitHub version control. Experience with ITSM tools, preferably Jira Service Management. Bachelor s or Master s degree in IT or related field. Collaborative, service-minded, and patient with problem-solving and troubleshooting. Comfortable working with Windows and macOS environments, and security tools like Microsoft Defender and Jamf Protect. Diverse global team with 70+ nationalities and strong DEI focus. Modern, vibrant office environment in Bengaluru with hybrid work flexibility. Flat organization providing direct access to decision-makers. Work on innovative projects impacting major industries worldwide. Engage in an active community and partner ecosystem. Qualification : Bachelors or Masters degree in IT or related field.

Staff Engineer DSPM Location: Bangalore, India About the Team Rubrik s Security Apps team focuses on securing customer data across cloud, SaaS, and on-premises environments. As data volumes grow exponentially, so do the associated cybersecurity risks. The team builds scalable and innovative solutions to protect, search, and analyze data seamlessly. Operating like a startup within a startup, they emphasize strong engineering principles, innovation, and teamwork to drive product excellence. About the Role As a Staff Engineer, you will play a critical role in Rubrik s R&D, collaborating closely with product teams to build and evolve scalable, fault-tolerant backend systems. You will lead the development of data ingestion pipelines and advanced analysis engines, shaping the technical direction of multiple projects. Additionally, you will mentor engineers, fostering leadership skills and promoting a culture of technical excellence. What You ll Do Design, develop, test, deploy, and maintain high-performance software systems. Build large-scale distributed systems and storage infrastructure. Develop backend services that ingest and process sensitive data from multiple cloud providers. Create data pipelines for classification, correlation, anomaly detection, automated issue resolution, and customer reporting. Own project priorities, deadlines, and deliverables with end-to-end accountability. Identify and resolve software bottlenecks, driving continual innovation. Provide technical leadership and mentorship to engineers, guiding their growth into leadership roles. Influence architecture and design decisions across teams and projects strategically. Propose and lead process improvements and technical initiatives to boost productivity. Collaborate rapidly with engineers, product designers, and stakeholders to solve real-world problems. Operate effectively in an agile, fast-paced environment, adapting quickly to evolving business needs. Experience & Qualifications Bachelor s or Master s degree in Computer Science or a related field. 13+ years of industry experience solving complex technical problems. Proficiency in one or more programming languages such as Go, Java, C/C++, Scala, or Python. Experience designing and architecting large-scale distributed systems. Proven ability to guide and mentor engineers in scalable software design and implementation. Strong communication and collaboration skills. Experience with public cloud platforms (GCP, AWS, Azure) is a plus. About Rubrik Rubrik is on a mission to secure the world s data with its Zero Trust Data Security platform. Using machine learning, Rubrik Security Cloud protects data across enterprises, cloud, and SaaS environments, enabling resilience against cyberattacks, insider threats, and operational disruptions while ensuring data integrity and availability. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.

Staff Engineer - Core Infrastructure Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re transforming the future of work by leveraging artificial intelligence to connect individuals with career opportunities based on their skills and potential, not just their network. Our Talent Intelligence Platform powers a more diverse, inclusive workforce by helping organizations plan, hire, develop, and retain top talent. With $410M+ in funding and a $2B+ valuation, we are revolutionizing how the world thinks about skills, potential, and careers. If you re passionate about cutting-edge technology, infrastructure, and creating scalable solutions that impact the world, we want you to join us. The Opportunity We re looking for a Staff Engineer to join our Core Infrastructure Team and help scale the backbone of Eightfold s platform. This high-impact role will involve designing, building, and optimizing foundational systems that power everything from search and machine learning infrastructure to developer platforms and observability tools. You will drive system design across our stack and mentor engineering teams to build scalable, resilient systems that enable Eightfold to grow and deliver AI-powered solutions for our customers. What You ll Own & Drive Architect & Scale Core Systems: Design and build scalable infrastructure systems that support Eightfold s AI-driven products, including search, compute, storage, and machine learning infrastructure. Cross-Functional Leadership: Lead cross-team technical initiatives, collaborating with Product, Security, Data, and Platform teams to align with company-wide goals. Hands-On Development: Contribute directly to system design, code reviews, and incident response, ensuring best practices are followed. Mentorship & Leadership: Guide and mentor engineers to help them grow into future leaders, fostering a culture of technical excellence across teams. Advocate for Engineering Excellence: Champion best practices across areas such as cloud architecture, CI/CD, security, and observability. Solve Complex Infrastructure Challenges: Tackle problems around reliability, scalability, and infrastructure performance, ensuring the systems are robust and perform well at scale. Bring Emerging Tech to Life: Stay on top of the latest trends and technologies, incorporating new scalable design patterns into our architecture. What You Bring 10+ years of experience in backend or infrastructure engineering, with a strong background in building distributed, cloud-native systems. Proven track record in designing and delivering reliable, high-scale services (ideally in AWS, GCP, or Azure environments). Expertise in Infrastructure Technologies: Deep knowledge of containerization, orchestration (Kubernetes), and infrastructure-as-code. Experience with one or more of the following: search infrastructure, ML/AI infrastructure, databases/data warehouses, developer tooling, or platform security. Leadership Experience: A passion for mentoring and guiding engineers, influencing teams and peers, and driving excellence across projects. Strong communication skills, able to translate complex technical challenges into strategic business impact. (Bonus) Experience with SRE principles, cloud security, and compliance for enterprise/government environments. Our Engineering Culture At Eightfold, we believe in ownership over tasks. You won t just be given directions; you ll be trusted to take responsibility and make a measurable impact. We have a growth mindset and continuously improve in all aspects of our work. Collaboration, transparency, and speed are core to everything we do. You ll work in a dynamic, supportive environment where your work directly influences the success of the company and its mission. Meaningful Work: Help shape the future of work by building products that impact careers and businesses globally. Growth Opportunities: Be part of a rapidly scaling company where your contributions are highly valued. Competitive Compensation: Attractive salary, equity, and comprehensive benefits package (including medical, vision, and dental coverage). Hybrid Work Model: Work from our Bangalore office twice a week, with flexibility for remote work. Inclusive Culture: We are committed to fostering a diverse and inclusive work environment where everyone feels valued. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you re a hands-on, innovative engineer with a passion for building scalable systems and tackling infrastructure challenges, we want to hear from you.

Job Title: Staff Software Engineer QuickBooks Online Product Development Company: Intuit Job Type: Full-Time Employment Type: Permanent Company Overview: Intuit is a global leader in financial technology, with a mission to power prosperity for individuals and communities worldwide. With millions of customers globally using products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we aim to provide everyone with the tools they need to prosper. Innovation and customer success are at the heart of everything we do. Job Overview: Join the QuickBooks Online Product Development team within the Small Business and Self Employed Group (SBG) as a Staff Software Engineer. QuickBooks, Intuit s flagship accounting software, powers millions of small business owners and accountants globally. As part of the SBG, you ll be developing features for QuickBooks that include Core Accounting, Payments, Payroll, Point of Sale (POS), and more, to provide an exceptional experience to small business owners, accountants, and entrepreneurs. You ll work with cutting-edge technologies and drive innovation to create top-tier software for users. Responsibilities: Gather Functional Requirements & Planning: Collaborate with cross-functional teams to gather business requirements, develop technical specifications, and plan for testing and project execution. Design & Development: Design and develop web, mobile, and software applications, including prototypes and proofs of concept (POC), with a focus on innovation and user experience. Technical Leadership: Take on a leadership role by mentoring junior engineers, new team members, and offering technical guidance on challenging programming and design problems. Hands-On Coding: Write and maintain high-quality, reusable, and self-serve code, while contributing actively to the coding and problem-solving processes. Defect Resolution & Maintenance: Resolve defects or bugs during QA testing, pre-production, production, and post-release, ensuring high-quality software delivery. Cross-Functional Collaboration: Work closely with various Intuit teams such as product management, QA/QE, and other business units to ensure smooth execution and timely delivery of projects. Design & Architecture Contribution: Contribute to the design and architecture of projects, making decisions that align with best practices and customer needs. Agile Development: Work within Agile development frameworks (SCRUM, Extreme Programming), ensuring effective collaboration and continuous delivery. End-to-End Feature Ownership: Own the complete quality, design, maintenance, and support for the features you develop, ensuring a seamless user experience. Qualifications: Experience: 8+ years of experience developing web, software, or mobile applications. Strong foundation in Java/J2EE technologies, design patterns, data structures, algorithms, and troubleshooting. Technical Skills: Proficiency in Java and J2EE technologies. Experience with the Software Development Life Cycle (SDLC), including coding, testing, and release management. Familiarity with RESTful and SOAP web services, both consuming and creating them. Education: BS/MS in Computer Science or equivalent work experience. Coding & Design Expertise: Ability to design and architect complex systems. Demonstrated ability to write clean, reusable, and well-structured code with the ability to troubleshoot and optimize systems. Test-Driven Development: Experience with unit testing and Test Driven Development (TDD) practices. Communication Skills: Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Operational Excellence: A commitment to operational excellence, ensuring high performance, scalability, and reliability in all software developed. What We Offer: Innovation & Impact: Work on a product that powers millions of small businesses, shaping the future of accounting and finance for entrepreneurs. Career Growth: Opportunities for personal and professional development in an innovative and collaborative environment. Global Reach: Be part of a global team that delivers financial tools to customers across multiple countries. Inclusive Culture: At Intuit, diversity and inclusion are part of our core values, and we foster a collaborative and supportive environment. Qualification : BS/MS in computer science or equivalent work experience.

Intuit is a global leader in financial technology, dedicated to helping individuals and businesses thrive. Our suite of products, including TurboTax, Credit Karma, QuickBooks, and Mailchimp, serves approximately 100 million customers worldwide. At Intuit, we believe in providing everyone with the tools and resources they need to achieve financial success. We are constantly innovating to make financial empowerment a reality for all. Job Overview Join the Intuit Data Platform (IDP) team as a Staff Engineer and help us transform the way we handle big data! The IDP team is responsible for the Intuit Analytics Platform, which powers real-time data ingestion, cataloging, analytics, and machine learning across the entire organization. As Intuit s customer base grows, so does the volume of data we process. Our engineering excellence ensures that we can scale and leverage this data to drive machine learning and product innovations. We re in the process of building the next-generation real-time and batch ingestion engine, capable of indexing, cataloging, and organizing data and metadata. We are passionate about using open-source technologies to solve challenges and contributing back to the community. If you're excited about building a platform that will directly impact data scientists and analysts and have a desire to shape the future of data at Intuit, then come join us! Key Responsibilities Architect & Design: Build fault-tolerant and scalable big-data platforms using open-source technologies to handle massive datasets. Data Solutions: Create architecture solutions that address complex use cases like data normalization, lineage, governance, ontology, and discoverability. Cross-Team Collaboration: Work with analysts and data scientists to understand data requirements for building operational propensity models and gaining deep customer insights. Hands-On Coding: Lead development efforts within the Hadoop ecosystem using technologies such as Java MapReduce, Spark, Scala, HBase, and Hive to build and optimize data pipelines for both real-time and batch applications. Database Management: Work with NoSQL, SQL, and in-memory databases to design high-performance data systems. Code Reviews: Ensure code quality, consistency, and adherence to best practices through regular code reviews. Architectural Alignment: Ensure alignment between enterprise architecture and business requirements. Prove Feasibility: Conduct proof-of-concept (POC) experiments for new technologies or approaches and drive them to production. Collaboration with Data Cataloging Team: Work closely with data catalog teams and architects to index and catalog all data sources at Intuit. Agile Leadership: Lead fast-paced development teams using agile methodologies and promote best practices in software development, testing, and incident response. Design & Model: Build dimension models suited for customer business use cases and ensure seamless integration of business and technical requirements. Qualifications Experience: 12+ years of relevant experience, with at least 5+ years specializing in the big data domain. Big Data Architecture: Proven experience in architecting end-to-end ecosystems for big data and analytics platforms. Expert Knowledge: Deep expertise in building fault-tolerant, scalable big data solutions, especially using the Hadoop ecosystem (Hive, HBase, Spark, Kafka, MapReduce, etc.). Programming Expertise: Mastery of Java and Scala, with a focus on building high-throughput data services. Machine Learning: Knowledge of machine learning principles and AI applications in big data. Big-Data Technologies: Familiarity with tools such as HDFS, Storm, Zookeeper, Cassandra, Redshift, GraphDB, and others. Understanding both real-time and batch processing in the Hadoop ecosystem. Communication: Strong communication skills, with an ability to explain complex technical topics to both technical and non-technical audiences. Programming Skills: Intermediate experience in Python or R for data processing. Education: BE/BTech/MS in Computer Science or a related field (or equivalent experience). Collaboration: Demonstrated ability to work cross-functionally and lead change through influence and example. At Intuit, you ll be part of a talented, passionate team working on innovative solutions that shape the future of data analytics and machine learning. As a Staff Engineer, you ll have the chance to work with cutting-edge technologies, build scalable systems, and help revolutionize how Intuit leverages data to drive product innovation. If you're looking for a dynamic environment where you can have a meaningful impact, come join us at Intuit! Qualification : BE/BTech/MS in Computer Science (or equivalent)

Senior Custom Standard Cell Design Engineer Company Arm Location India Job Overview The Solutions Engineering Physical IP team at Arm is home to some of the industry s top experts in deep submicron circuit design. This role offers an exciting opportunity to work with the custom standard cell design engineering team, contributing to cutting-edge technologies. Your work will have a long-lasting impact, as these designs will power Arm s Solutions Engineering products across infrastructure, client, automotive, and IoT market segments. Responsibilities Develop Arm custom standard cells in leading-edge sub-3nm process technology nodes. Collaborate closely with physical design engineers to co-optimize circuit and layout for improved Performance, Power, and Area (PPA) in Arm cores integrated into world-class SoCs. Work with mask design teams to provide optimally tuned layouts. Characterize and model all standard library views. Validate standard cells using comprehensive QA flows across various EDA tools. Required Skills and Experience Bachelor s degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Master s degree in Electrical Engineering with 6+ years of relevant circuit design experience. Proven experience identifying, designing, and verifying cells to optimize core and SoC level PPA. Deep understanding of MOSFET electrical characteristics, transistor-level device physics, and PPA trade-offs, especially at 3nm and below technology nodes. Expertise in designing static circuits, including state-retaining elements such as latches and flip-flops. Hands-on experience with standard cell characterization, modeling, and QA processes. Experience with standard cell characterization tools and SPICE circuit simulators. Proficiency in scripting languages such as Perl or Python. Strong interpersonal skills, with a willingness to mentor and support team members. Demonstrated problem-solving ability, persistence, and creativity in tackling difficult technical challenges. Positive team-oriented attitude, showing respect for all team members. Motivation to continuously develop new skills and take on various responsibilities. Ability to analyze complex data sets and present conclusions effectively. Nice-to-Have Skills and Experience Experience leading engineering teams, including project management and risk communication. Exposure to physical design implementation flows and sign-off processes. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2 Qualification : Bachelors degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Masters degree in Electrical Engineering with 6+ years of relevant circuit design experience.

Staff Automation Engineer Company Arm Job Overview As a Staff Automation Engineer, you will play a pivotal role in designing and implementing cutting-edge IT automation solutions that enhance Arm s infrastructure and development processes. You will leverage your expertise in automation technologies to streamline provisioning, configuration management, image management, secret management, and CI/CD pipelines. This is a critical role to ensure our systems remain efficient, scalable, and secure. Responsibilities Develop and implement automated solutions for infrastructure provisioning and configuration management using tools like Terraform, CloudFormation, Ansible, Puppet, and Chef. Design, configure, and maintain scalable CI/CD pipelines using platforms such as GitLab CI, GitHub Actions, Cloudbees/Jenkins, AWS CodePipeline, or Azure DevOps. Collaborate with DevOps and Engineering teams to improve and optimize engineering workflows, enhancing both efficiency and time-to-market. Standardize and automate configuration processes to ensure consistency and compliance across all environments. Troubleshoot and resolve configuration-related issues, ensuring systems are always up-to-date, secure, and cost-efficient. Required Skills and Experience Proven success in automation engineering or a similar role. Solid understanding of DevOps practices and extensive experience in infrastructure-as-code (IaC). High proficiency with automation tools and technologies, including Terraform, Ansible, Docker, Kubernetes, Jenkins, and Vault. Strong understanding of both on-premise and cloud platforms (AWS, Azure, GCP), including cloud-native architectures. Excellent communication, collaboration, and problem-solving skills with the ability to thrive in a team-oriented environment. Nice-To-Have Skills and Experience Relevant certifications, such as AWS Certified DevOps Engineer or Certified Kubernetes Administrator, are a plus. What Arm Offers We offer exciting, meaningful work within a diverse team. Arm s continued growth ensures ample career progression opportunities, allowing you to make a real impact on our global success. #LI-KR2

Job Title: Staff Engineer Embedded Software & Methodologies Job Overview: The Architecture and Technology Group (ATG) at Arm plays a critical role in shaping the future of Arm s architecture roadmap. ATG develops industry-leading secure CPU and system architectures, along with technologies that empower our global ecosystem to build innovative products. As part of this, ATG also creates Architecture Compliance Kits (ACK) a crucial product that ensures CPU implementations adhere to Arm architecture standards. These kits are utilized by both internal and external CPU design teams to validate compliance. The ATG team in Bangalore focuses on developing these ACK products. The Methodology Team, specifically, builds embedded software, methodologies, and tools for the latest Arm cores and system IPs. As a Staff Engineer, you will provide technical leadership and guide junior engineers while actively contributing to product development. You will leverage your software engineering expertise to build scalable, high-quality compliance kits used across Arm s internal teams and external partners. Key Responsibilities: Act as a technical expert, driving the design and development of embedded software, boot flows, and methodologies for architectural compliance. Analyze architecture specifications and define software methodologies that meet industry standards. Provide technical direction to the team while mentoring and guiding junior engineers. Collaborate with cross-functional teams to ensure successful and timely delivery of engineering commitments. Continuously enhance development efficiency through improved methodologies, automation, and process enhancements. Communicate delivery status, technical risks, and mitigation plans effectively to stakeholders. Required Skills & Experience: Bachelor s or Master s degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering. 10+ years of experience in embedded software development, boot flows, firmware development, driver development, or low-level operating system driver development for processors. Strong understanding of software engineering principles, along with excellent analytical, problem-solving, and debugging skills. Strong communication skills both verbal and written with the ability to convey technical information effectively across teams. Self-driven, proactive, and able to take ownership of tasks and responsibilities. Preferred Skills: Familiarity with computer architecture fundamentals, especially Arm or x86 architecture. Proficiency in at least one programming language (C or C++) and one scripting language (Perl or Python). Experience with assembly-level programming. Working knowledge of software verification methodologies, embedded software environments, and toolchains (with preference for GNU toolchains). Join a team that thrives on technical excellence and innovation. Whether it s defining cutting-edge architectures, developing advanced cores, or creating custom physical IPs, Arm offers you a platform to push boundaries and make a lasting impact. Qualification : Bachelors or Masters degree (or equivalent) in Computer Engineering, Computer Science, or Electronics Engineering.

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Job Title: Senior Software Engineer Python Location: Pune, India Company: Blue Yonder Experience: 9 to 13 years Education: Bachelor s Degree in Computer Science, Information Technology, or related fields About Blue Yonder Blue Yonder is a leading AI-driven global supply chain solutions provider, consistently recognized among Glassdoor s Best Places to Work. Our innovative products drive digital transformation for businesses worldwide across manufacturing, retail, and supply chain sectors. Role Overview We are seeking a Senior Software Engineer Python to join our growing Industry Solutions team, which is building a ground-up SaaS product focused on solving complex challenges in Manufacturing and Retail Industries. The team currently consists of 60+ global associates across the US and India and is set to expand rapidly. This role requires strong technical expertise combined with leadership qualities to mentor junior and mid-level engineers. Key Responsibilities Architect, design, and develop scalable, event-driven multi-tenant microservices using Python. Lead technical design discussions and mentor junior engineers on best practices, coding standards, and software quality. Drive code reviews, contribute to cleaner code, and advocate for effective testing strategies. Collaborate with cross-functional teams to deliver high-quality features aligned with product roadmaps. Troubleshoot complex issues by identifying root causes and implementing long-term fixes. Continuously contribute to improving engineering processes, code quality, and team productivity. Promote knowledge-sharing through training sessions, internal talks, and contributions to open-source projects. Ensure secure architecture by implementing strong identity management and secure configurations. Champion DevOps practices, Infrastructure as Code, and automation-first approaches for deployments. Focus on designing self-healing services with robust monitoring and alerting. Collaborate with stakeholders to optimize cloud infrastructure and cost efficiency. Foster a blameless culture during incident reviews and encourage continuous learning. Technical Skills & Experience Required 9 to 13 years of experience in Enterprise Python Development. Strong expertise in Python design patterns and libraries like Numpy. Deep understanding of cloud-native architectures and Azure services (e.g., AKS, Event Hub, Azure AD, HDInsight, ARM templates, etc.). Strong hands-on experience in REST API development, OAuth, and multi-tenant microservices. Experience with data platforms such as Snowflake and MS SQL. Solid understanding of Git, Gradle, Jenkins, and CI/CD pipelines. Background in infrastructure automation and DevOps practices. Experience designing and building secure systems with identity management and data protection. Knowledge of web services, IDOCs, and interface handling is a plus. Preferred Qualifications Exposure to manufacturing or retail domain. Familiarity with solver algorithms and optimization solutions. Experience working in agile teams with strong emphasis on collaboration and iterative delivery. Strong problem-solving mindset with a passion for mentoring and knowledge sharing. Work on cutting-edge AI-driven supply chain solutions with a global impact. Collaborate with a diverse and talented global team. Professional growth through mentorship, learning programs, and leadership opportunities. Experience a flexible and inclusive work environment that values creativity, innovation, and personal well-being. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, Diversity, Inclusion, Value & Equity are at the heart of our culture. We value diverse perspectives and foster an environment where everyone feels empowered to bring their authentic selves to work. All qualified applicants will receive equal consideration regardless of race, color, religion, gender identity, sexual orientation, disability, or veteran status. Qualification : Bachelors Degree in Computer Science, Information Technology, or related fields