Java Python Jobs in Bengaluru

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.

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Site Reliability Engineer Location: Bengaluru About Groww At Groww, we re on a mission to make financial services simple, accessible, and transparent for every Indian. As one of India s fastest-growing financial platforms, we help millions take control of their financial future through a wide range of products. We re a team driven by ownership, radical customer-centricity, and a deep passion for challenging the status quo. From intuitive design to robust engineering, everything we build is grounded in what our customers need. If you re excited about building systems that power the future of finance in India, we d love to hear from you. Our Vision To empower every Indian with the knowledge, tools, and confidence to make sound financial decisions. Our goal is to be the most trusted financial partner for millions across the country. Our Core Values Customer Obsession We put our users first, always. Extreme Ownership We own everything we do, end-to-end. Simplicity We keep things simple, effective, and intuitive. Long-term Thinking We focus on sustainable, impactful decisions. Transparency We believe in open communication and collaboration. Role Overview: As a Site Reliability Engineer (SRE) at Groww, you will be responsible for ensuring our systems are highly available, performant, and secure. You will work closely with engineering and infrastructure teams to improve reliability, automate deployments, and manage mission-critical services that power our platform. Key Responsibilities: Monitor and troubleshoot issues related to system performance, availability, and security. Define and maintain SLIs, SLOs, and Error Budgets to improve system reliability. Use tools like Grafana to analyze and report on metrics and trace data. Participate in the on-call rotation for 24/7 support of production systems. Collaborate with developers to ensure scalability and reliability are built into new services. Roll out security and infrastructure features proactively. Manage automated deployments, version control, and release rollouts. Perform Root Cause Analysis (RCA) for incidents and implement long-term fixes. Optimize system performance, conduct capacity planning, and create recovery strategies. Identify and automate repetitive tasks to reduce toil. Leverage CI/CD tools such as Git, Jira, Jenkins to streamline development workflows. Requirements: 4 6 years of relevant experience in SRE, DevOps, or infrastructure engineering. Bachelor's or Master's degree in Computer Science or a related field. Strong background in Linux/Unix system administration and networking. Hands-on experience with cloud platforms like GCP or AWS. Proficiency in programming languages such as Python, Java, or Go. Experience with monitoring and alerting tools: Grafana, Prometheus, New Relic, etc. Familiarity with configuration management tools. Experience with Kubernetes, Docker, and container orchestration tools is a strong plus. Excellent problem-solving, communication, and team collaboration skills. Be a part of one of India s fastest-growing fintech startups. Build and scale systems that impact millions of users daily. Work with passionate, driven teammates who are redefining financial services. A culture that encourages continuous learning, ownership, and transparency. If you're ready to help shape the future of fintech infrastructure in India, Groww is the place for you. Let s build something extraordinary together. Qualification : Bachelor's or Master's degree in Computer Science or a related field

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

(Senior) Backend Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader in AI and data-driven industrial transformation, powering industries like Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy with products such as Cognite Atlas AI and Cognite Data Fusion (CDF). Recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year, Cognite is reshaping the future of industrial digitalization. Our Values Impact: Focused on delivering measurable results. Ownership: Taking responsibility beyond one s role to foster collaboration. Relentless: Innovating persistently and thoughtfully. About the Team and Role Join the Product team that develops Cognite Data Fusion , a robust platform enabling asset-intensive industries to leverage operational data at scale. You ll work in autonomous, cross-functional teams focused on delivering critical services, including authentication and authorization, that protect privileged customer data. As a Backend Engineer, you will: Develop and maintain scalable, secure backend features for CDF. Make architectural decisions balancing synchronous and asynchronous designs. Write high-quality, well-tested code integrated via continuous integration pipelines. Collaborate across engineering, product, and customer success teams to shape product direction. Monitor and improve service performance, reliability, and security. Proactively address technical debt and vulnerabilities. Keep documentation clear and up-to-date. Strong hands-on experience with software development in languages like Kotlin, Java, Python, or Rust. Ability to learn new languages and use the best fit for the task. Experience with large-scale cloud environments (AWS, GCP, or Azure) and Kubernetes. Familiarity with SaaS product environments is a plus. Expertise in designing and maintaining large-scale infrastructure and web services. Solid foundation in computer science fundamentals: data structures, algorithms, software design. Proven ability to prioritize work for maximum impact. Strong problem-solving skills and troubleshooting complex systems. Collaborative mindset working across teams with shared technical stacks. Work in a diverse, inclusive global organization with 70+ nationalities and a strong DEI focus. Modern, hybrid work environment based in Whitefield, Bengaluru. Flat organizational structure with direct access to decision-makers and minimal bureaucracy. Opportunity to collaborate with world-class talent on ambitious projects spanning multiple industries. Engage in the Cognite HUB to connect with peers and partners directly. Make Your Mark Join us to build cutting-edge industrial data solutions that empower better decisions and sustainable business value. Cognite welcomes candidates from all backgrounds and encourages you to apply even if your experience doesn t perfectly match every qualification.

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

GenAI Engineer Location: Bangalore, India About the Team Rubrik s IT team is at the forefront of AI-powered transformation, focused on building intelligent automation and scalable data solutions to support the company s mission. As part of the newly established IT AI team, you ll help develop AI agents and workflows to unlock the full potential of generative AI in data engineering. About the Role We re seeking a GenAI Engineer to join our Data Engineering team, specializing in the development and deployment of AI agents and workflows powered by large language models (LLMs). You ll be responsible for integrating data sources, developing MCP clients/servers, and collaborating with cross-functional teams to drive GenAI adoption across the organization. Key Responsibilities Design and implement data integrations using MCP protocols or traditional data extraction methods Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving) Ensure high standards of data quality, integrity, and scalability for both structured and unstructured AI workloads Collaborate with business, data engineering, and application development teams to create AI-enabled products Integrate pipelines into existing infrastructure for seamless data flow and analytics Support high-quality data products tailored for AI and machine learning workflows Required Experience 1+ years building AI Agents or working with platforms like Snowflake Cortex, Gemini Agentspace, or similar open-source frameworks 3+ years in data engineering with a focus on AI/ML workloads 5+ years in data analytics using Snowflake or Databricks Strong programming skills in Python, Java, or Scala Familiarity with data storage, APIs, and cloud configurations Experience with data governance and scalable system design Solid understanding of LLMs, transformers, and frameworks such as LangChain Strong analytical and problem-solving skills in a dynamic environment Preferred Qualifications Proven experience building AI Agents and agentic workflows Understanding of MCP and Agent2Agent protocols Knowledge of generative model architectures and applications in data engineering Familiarity with data security and governance best practices in GenAI Experience with Agile methodologies and tools such as Jira and GitHub Join Us in Securing the World s Data Rubrik (NYSE: RBRK) is committed to delivering Zero Trust Data Security. Our ML-powered platform protects data across enterprise, cloud, and SaaS applications, helping organizations stay resilient against cyberattacks and disruptions.

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Senior Software Engineer - Backend | FinBox Location: Bengaluru Experience: 4-8 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, a thriving hub of innovation at the intersection of fintech and technology. Founded in 2017, we specialize in building cutting-edge technologies for the financial services industry, helping lenders like Banks, NBFCs, and large enterprises to launch credit products faster and more efficiently than ever before. We are a Series A funded startup with a growing global presence, including offices in India, Vietnam, Indonesia, and the Philippines. To date, FinBox has enabled the disbursement of billions of dollars in credit across various types of loans, including personal, business, mortgage, and education loans. Over 100 companies use our solutions, delivering credit to millions of customers every month. Innovative Environment: We encourage creative thinking and experimentation to push the boundaries of fintech. Impactful Work: Your work will have a direct impact on millions of people by making credit more accessible and inclusive. Growth Opportunities: As a Series A startup, we offer plenty of opportunities for personal and professional growth. Collaborative Culture: Work in a diverse, inclusive team where everyone is passionate about making a difference. Creative Thinkers: You love experimenting with new ideas and enjoy solving complex problems in unique ways. Customer Heroes: You understand customer needs and aim to deliver seamless and impactful experiences. Team Players: You thrive in a collaborative environment, and value contributing to the team s success. Role & Responsibilities As a Senior Software Engineer - Backend, you will: Architect & Build: Design and implement new services to meet critical business needs and product requirements. End-to-End Ownership: Take full responsibility for the services you build, including fintech APIs and core components. Collaboration: Work closely with engineers, designers, product managers, and senior leadership to create actionable roadmaps. CI/CD & Automation: Help build and integrate systems into CI/CD pipelines, focusing on testing, QA, and automation. Write High-Quality Code: Deliver clean, performant, and well-tested code for all our products. Continuous Improvement: Ensure the continuous evolution of backend systems to support FinBox s growth and scalability. Who You Are We re looking for someone who has: A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent. In-depth knowledge of programming languages, with preferences for Go, Rust, Elixir/Erlang, Java, Python, or JavaScript. Strong understanding of Computer Science fundamentals, including algorithms, data structures, and competitive coding. Experience with Cloud Platforms: Proficiency in AWS, Azure, or Google Cloud, including Terraform for infrastructure automation. Experience with Databases: Solid knowledge of PostgreSQL and experience with Big Data pipelines. Proficiency in Automation: Experience automating systems and deployments using tools such as GitLab. Web Tech Understanding: Good knowledge of web technologies, protocols, and architecture such as HTTP, RESTful APIs, and web standards. Problem Solver: Strong analytical and problem-solving skills, combined with a fast-learning mindset. Effective Communicator: Excellent verbal and written communication skills to collaborate effectively with cross-functional teams. Be part of a dynamic, fast-growing company working on innovative financial technologies. Take ownership of high-impact backend systems that power fintech solutions for global customers. Work alongside a talented, diverse team in an inclusive environment where your ideas and contributions matter. If you re passionate about backend development and want to make an impact in the fintech world, apply now and become part of the FinBox team! Excited to start the next chapter in your career? Apply today! Qualification : A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent.

Position: Data Integration Developer Talend Location: Bangalore Employment Type: Full-time Experience Required: 4 to 7 years Overview: We are seeking a Data Integration Developer with strong expertise in Talend to join our growing data engineering team. This role is ideal for professionals who are passionate about designing and building robust, scalable ETL/ELT pipelines and integrating enterprise data across cloud and on-premise platforms. You will work closely with data architects, business analysts, and reporting teams to support data transformation, integration, and analytics efforts. Key Responsibilities: ETL/ELT Solutions Development: Design, develop, and deploy scalable ETL/ELT processes using Talend Data Integration (on-prem and cloud). Data Transformation & Integration: Implement data transformation using stored procedures and other data processing techniques. Report Development Support: Collaborate with reporting teams to support dashboard/report creation using tools like MicroStrategy and Power BI. Documentation & Data Governance: Create detailed pipeline documentation, configurations, and data workflows. Performance Optimization: Monitor pipeline performance, identify bottlenecks, and troubleshoot data integration issues. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud) Experience with Snowflake and writing Stored Procedures Knowledge of ETL/ELT design, data warehousing, and data modeling Familiarity with JSON, XML, CSV data formats Experience with data quality frameworks and job monitoring/scheduling tools Proficiency in Agile methodology and tools like JIRA Desirable Skills: Experience with reporting tools such as MicroStrategy and Power BI Skills in scripting languages: Python, Java, or Shell Understanding of cloud platforms (AWS, GCP, Azure) and related data services Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field Minimum of 3+ years of Talend development experience Qualities We Value: Strong verbal and written communication skills Experience in Agile and cross-functional team environments Problem-solving mindset and ability to work under minimal supervision Quick learner with a passion for data and process improvement Work with modern cloud data integration and enterprise tools Collaborate with global clients and expert teams Be part of cutting-edge data platform transformation initiatives Apply today and be part of our mission to deliver next-gen, data-driven insights. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position: Talend Data Engineer Location: Bangalore, India Employment Type: Full-time Experience Required: 4 to 9 years Purpose of the Position: As a Talend Data Engineer, you will be responsible for designing, developing, and managing scalable ETL/ELT data pipelines both on-premise and in the cloud. You will work with technologies such as Talend Suite, Snowflake, and reporting tools to support high-impact data integration and business intelligence initiatives. Key Responsibilities: ETL/ELT Development: Design, develop, and deploy ETL/ELT workflows using Talend Data Integration and Talend Cloud. Data Transformation: Apply stored procedures for accurate and structured data processing. Reporting: Build reports using MicroStrategy and Power BI to support decision-making. Documentation: Maintain detailed documentation for pipelines, configurations, and processes to ensure data integrity and quality. Performance Monitoring: Monitor and optimize data pipelines, resolving data-related issues swiftly. Essential Skills: Hands-on experience with Talend Suite (Talend Data Integration, Talend Cloud). Strong skills in Snowflake and writing Stored Procedures. Expertise in ETL/ELT processes, data warehousing, and data modeling. Familiarity with data quality frameworks and job scheduling tools. Proficient in handling data formats like JSON, XML, CSV, and Parquet. Knowledge of Agile methodologies and tools such as JIRA. Desirable Skills: Experience with BI tools like MicroStrategy and Power BI. Proficiency in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud-based data services. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of relevant experience with Talend and data engineering projects. Key Qualities: Strong consulting, writing, and presentation skills. Self-organized and collaborative in cross-functional teams. Open to feedback and iterative improvement. Effective communicator with clients across geographies. Analytical mindset with a research-oriented approach. Apply now and become part of a high-performing team delivering scalable data solutions across industries! Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Full-Stack Developer - Windows on Snapdragon Platform Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary Qualcomm Technologies Inc., the maker of the industry-leading Snapdragon SoCs, is the largest provider of complete chipset solutions for Microsoft Windows on Snapdragon products. Qualcomm is committed to developing solutions for the next generation of Windows on Snapdragon devices. The ideal software engineer will act as a key member of an Agile Scrum Team and play a pivotal role in the end-to-end lifecycle of all Windows-on-Snapdragon product lines. This role requires strong software development skills to act as a hands-on contributor responsible for gathering requirements, designing, and developing improvements to the Windows-on-Snapdragon continuous integration build systems, software release process, and developer operations tools. Strong communication and collaboration skills are essential, as this platform team works closely with internal and external teams to bring up, support, triage, and resolve issues on Qualcomm chipsets. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Key Responsibilities Design, develop, test, and maintain web applications using Python and C#. Implement front-end interfaces using ASP.net, HTML, CSS, and JavaScript. Design and maintain SQL databases, writing efficient SQL queries. Develop and maintain automation scripts using PowerShell, CMD, and BAT. Work within version control systems such as Git and Perforce. Contribute to embedded Windows software development with solid programming skills. Apply strong understanding of Operating System concepts, both Windows and Linux. Participate in Windows and/or Linux kernel development activities. Preferred Qualifications 2-5 years of Software Engineering or related work experience. Proficiency in Python, C/C++/C#, SQL, and Shell Scripting. Strong communication and interpersonal skills. Effective problem-solving and debugging capabilities. Experience with Windows OS internals. Experience debugging device drivers using WinDbg, JTAG, or similar tools. Basic understanding of processor architecture and cache subsystems. Experience with PC software development (System BIOS, UEFI, ACPI, Drivers, Applications). Working knowledge of Jenkins and Artifactory. Hands-on experience with Windows program/driver development. Proficiency in Visual Studio as an integrated development environment. Exposure to ARM assembly. Basic understanding of Embedded OS (Kernel architecture, OS services, heap, memory management, multi-core processing, multi-threading, and crash debugging). Strong motivation and ability to learn quickly. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number listed on their careers page. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities during the hiring process. (Please note: this email address is intended solely for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries through this contact.) Recruitment Policy Qualcomm s Careers Site is exclusively for individuals seeking employment directly with Qualcomm. Staffing agencies and third-party recruiters are not authorized to submit profiles, applications, or resumes via this site. Any such submissions will be considered unsolicited, and Qualcomm will not be responsible for any associated fees. Compliance Notice All Qualcomm employees must adhere to applicable company policies and procedures, including but not limited to those regarding security, confidentiality, and protection of proprietary information, in compliance with applicable laws.

Job Title: Senior Engineer - IT Software Development & Operations Location: Bengaluru Job Summary The Senior Engineer will be responsible for applying their technical expertise in various aspects of software development and operations, including design, coding, testing, documentation, and technical support. This role requires the ability to handle complex issues, adapt existing methods to solve problems, and deliver results with minimal supervision. The ideal candidate will have strong collaboration skills, consistently seek to improve their technical capabilities, and actively participate in technical initiatives to enhance organizational success. Roles & Responsibilities Design & Development: Responsible for the design, coding, testing, bug fixing, documentation, and technical support within the assigned area. Ensure timely delivery of solutions while meeting quality and productivity goals. Collaboration & Customer Interaction: Regularly collaborate with customer teams to clarify technical issues, resolve queries, and ensure smooth project execution. Participate in key project and work-related activities, providing input on identifying important issues and risks. Process Improvement: Actively seek opportunities to enhance existing skills and acquire new complex technical skills. Participate in technical initiatives related to the project and organization, delivering training and contributing to process improvements. Project Execution: Adhere to organizational guidelines and checklists during deliverable reviews. Provide regular status reports to the Team Lead and ensure that relevant organizational processes are followed. Skill Development: Enhance technical capabilities by attending training sessions, engaging in self-study, and undergoing periodic technical assessments. Education and Experience Education: Engineering Graduate, MCA, or equivalent. Experience: 2-5 years of relevant experience. Competencies Description Digital Automation Engineer: Experienced in designing and implementing engineering processes and automation across phases of the DevOps-based SDLC, including Configuration Management, Build & Release, Test Automation, Deployment, Infrastructure Automation, and Continuous Operations. Configuration Management Specialist: Design, configure, and implement version control, branching, and configuration strategies using source code and version control systems like GIT, GitLab, BitBucket, SVN, CVS, Clearcase. Build Automation Specialist: Experience in Continuous Integration (CI) and Build Automation tools like Jenkins, Bamboo, ANT, Maven, Gradle. Test Automation Specialist: Experience in designing and authoring Test Automation scripts for Mobile, Web, Cross-platform, Web Services, Microservices, and infrastructure testing. Proficient in Black Box, White Box, Functional, Performance, UI, Security, and Regression testing, along with experience in BDD frameworks and device test clouds like Sauce Labs and Xamarin Test Cloud. Deployment Specialist: Expertise in release management strategies, managing package repositories, AMIs, and deploying applications and service packages across cloud and container-based infrastructure. Infrastructure Automation Specialist: Expertise in designing and implementing programmable infrastructure on virtualized and cloud-based environments. Ability to manage IaaS, Configuration Management, Container Management, and Environment Management across cloud platforms (AWS, Azure, etc.). Continuous Operations Specialist: Design, implement, and operate elastic infrastructure, manage application and service monitoring, failover scenarios, scalability, SLAs, and operational dashboards across cloud and virtualized environments. Platforms Linux, Windows, Android, iOS, VMware, OpenStack, Hyper-V Technology Standards AWS, Azure, RESTful APIs, SOAP, Test-Driven Development (TDD), Microservices patterns, Service Mesh, CloudFormation templates. Tools Configuration Management: GIT, GitLab, BitBucket, SVN, Clearcase, Perforce. Build Tools: GNU Make, NMake, ANT, Maven, Gradle, Ivy. CI Tools: Jenkins, Bamboo, CircleCI, AWS DevOps tools, Azure DevOps. Requirement Management: Bugzilla, Jira. Code Review: Gerrit, GitLab, ReviewBoard. Containers: Docker, Docker Swarm, Kubernetes, ECS (Amazon), AKS (Azure). Automation & Configuration Management: Ansible, Chef, Puppet. Cloud-Native DevOps Services (AWS, Azure): Cloud-Native DevOps Services. Testing Tools: Appium, Visual Studio App Center, SauceLabs, Selenium, Black Duck, SOAP UI, Protractor, JUnit, NUnit, LoadRunner, JMeter. Monitoring & Dashboarding: Prometheus, ELK Stack, Grafana. Languages Scripting Languages: Perl, Python, Groovy, Shell Script, PowerShell, YAML, Ansible. Other Programming Languages: Java, C#, XML. Test Automation Languages: Java, Python (for Appium and Sauce Labs). Specialization Key Areas: Configuration Management, Test Automation, Build and Release Automation, Infrastructure Automation, Continuous Operations, Deployment, RPA (Robotic Process Automation). Desired Skills Strong collaboration and communication skills. Ability to manage multiple projects and tasks while ensuring quality delivery. Experience working in an agile development environment. Proactive in identifying and resolving technical challenges. Strong analytical and problem-solving abilities. This is an exciting opportunity for a skilled Senior Engineer to advance their career in the IT Software Development and Operations domain, work on innovative projects, and gain experience across cutting-edge technologies. Qualification : Engineering Graduate, MCA, or equivalent.

Job Title: Senior DevOps / Site Reliability Engineer Location: Pune, India Company: Blue Yonder Experience: 10 to 13 years Education: Bachelor s Degree in Computer Science, Engineering, or related STEM fields Company Overview Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider and consistently recognized as one of Glassdoor s Best Places to Work. We are driving the next wave of digital transformation in manufacturing and retail, delivering innovative SaaS solutions that power intelligent supply chains across the globe. We are looking for a Senior DevOps / Site Reliability Engineer (SRE) to lead the design, development, deployment, and operational management of our Azure SaaS solution. This role requires strong DevOps, cloud delivery, and infrastructure automation expertise, along with leadership capabilities to guide a growing global team. Role Overview In this role, you will be responsible for architecting, planning, and executing end-to-end delivery pipelines, supporting both product development and operational stability. Working closely with platform, product, and architecture teams, you will implement best-in-class DevOps and SRE practices, ensuring scalability, resilience, and cost optimization. Key Responsibilities Architect, design, and manage CI/CD pipelines and infrastructure for a cloud-native, multi-tenant SaaS solution on Azure. Lead sprint planning, backlog grooming, and architecture discussions. Develop quality automation scripts and tools to reduce manual efforts and enable self-healing, self-service capabilities. Identify and resolve operational bottlenecks and proactively improve observability (monitoring, alerting, logging). Participate in code reviews, ensure secure and scalable designs, and mentor junior and mid-level engineers. Collaborate with stakeholders to understand business and technical requirements and translate them into actionable user stories. Implement and enforce cloud cost optimization strategies. Conduct post-incident reviews with a blameless culture to identify root causes and drive continuous improvements. Automate service requests and standard operational procedures. Drive improvements to the team s continuous integration pipeline, ensuring rapid and reliable deployments. Stay updated with the latest DevOps, SRE, and cloud technologies and bring innovative ideas to the table. Participate in team hiring and actively contribute to onboarding new team members. Technical Environment Languages: Java, Python, PowerShell, Shell Scripting DevOps Tools: Azure DevOps, GitHub Actions, Jenkins Cloud: Microsoft Azure (ARM Templates, AKS, Event Hub, HDInsight, Azure AD, Application Gateway, Virtual Networks) Architecture: Microservices, Kubernetes, Docker, Event-driven architecture Frameworks: Spring Boot, Hibernate Monitoring & Logging: Elasticsearch, Spark, Kafka Databases: RDBMS, NoSQL Version Control: Git Required Skills & Experience Bachelor s Degree (STEM preferred) with 10 to 13 years of experience in DevOps, Cloud Delivery, or Site Reliability Engineering. Proven hands-on experience with Azure Cloud Services. Expertise in setting up and optimizing CI/CD pipelines. Strong scripting experience: Shell and PowerShell are mandatory; Python is a plus. Strong understanding of container technologies (Docker, Kubernetes) and microservices architecture. Experience integrating and managing third-party monitoring and logging tools. Strong problem-solving skills and ability to work with global, cross-functional teams. Excellent communication and stakeholder management skills. Nice to Have Development experience in Java or Python. Experience working in agile teams with a product-centric mindset. Experience working in manufacturing or retail domains. Exposure to AI/ML-driven monitoring and observability tools. Work with cutting-edge technologies on globally impactful solutions. Collaborate with diverse and talented teams across the US, India, and the UK. Foster your career growth through mentorship, continuous learning, and leadership opportunities. Experience an inclusive, flexible work culture where innovation and creativity thrive. Diversity, Inclusion, Value & Equality (DIVE) At Blue Yonder, we are committed to building an inclusive environment where everyone feels empowered to be themselves. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or related STEM fields