Service Orchestration Jobs in Bengaluru

MTS - Software Developer (Cloud AI Network Security Developer) Location: Bengaluru Company: Aviatrix Experience: 1 3 years About Aviatrix: Aviatrix is a cloud network security leader trusted by over 500 enterprises. We specialize in securing multi-cloud environments, offering runtime protection and advanced control for modern cloud infrastructures. Role Strategy & Impact In this role, you will build next-generation intelligent cloud network security solutions. You will focus on developing Python/Go microservices that fuse network visibility with LLM-driven insights to redefine cloud firewall capabilities. Technical Requirements Core Competencies: Development: Professional experience in Go (Golang) or Python. Cloud Networking: Fundamentals of Routing, NAT, VPNs, and Subnets. Security: Understanding of Firewall concepts (ACLs) and Zero Trust architecture. AI Integration: Experience using AI/LLM APIs (OpenAI, Vertex AI, etc.). Data Infrastructure: Workflows involving Kafka, data ingestion, and stream processing. Cloud Ecosystem: Hands-on familiarity with AWS, Azure, or GCP. Preferred Qualifications: Network Observability: Experience with NetFlow, IPFIX, or VPC Flow Logs. Modern DevOps: Hands-on with Kubernetes, Container Networking, and Terraform. Generative AI: Knowledge of Prompt Engineering or RAG-based systems. Key Responsibilities Control Plane Development: Build services for firewall rules and policy orchestration. AI Workflows: Integrate LLM-based assistants for anomaly detection and alert summarization. Telemetry Pipelines: Maintain high-performance data pipelines for security event metrics. Security Logic: Design logic for threat pattern recognition and posture scoring. Benefits & Why Join Us Global Benefits: Private medical, pension, and life assurance. Work-Life Balance: Generous holiday allowance and annual wellbeing stipend. Growth Mindset: We value diverse paths if you are passionate about AI and Security, we want to hear from you.

Senior Manager, Security Operations Center (SOC) Location: Bangalore Type: Full-Time Experience Required: 8+ Years (3+ in Leadership) Role Overview: Strategic Cyber Defense We are seeking a Senior Manager to lead and modernize our SOC operations across enterprise and product environments. You will oversee a high-performance team dedicated to threat detection, advanced detection engineering, and incident response. This role is a strategic blend of technical mastery leveraging AI and SOAR and people leadership, focused on building a resilient, automation-first security culture. Core SOC Service Offerings & Expertise Advanced Defense & Detection: Detection Engineering: Implement Detection-as-Code practices and prioritize backlogs based on the evolving threat landscape. Threat Intelligence & Hunting: Deliver actionable intel and execute structured threat hunting hypotheses to proactively identify stealthy adversaries. Deception & Validation: Manage deception strategies (honeypots/tokens) and use attack emulation tools to validate detection logic effectiveness. Forensics: Lead digital forensic investigations, evidence acquisition, and post-incident analysis. Automation & Technology Stack: Azure Ecosystem: Advanced proficiency with Microsoft Sentinel, Defender XDR, and Defender for Cloud using KQL. Cloud Operations: Strong knowledge of security operations across Azure, AWS, and preferably GCP. SOAR & AI: Champion the integration of Security Orchestration, Automation, and Response (SOAR) and AI to drive SOC efficiency. Key Responsibilities Leadership & Strategy: Team Development: Coach and mentor the SOC team, conducting regular 1-on-1s and fostering a growth-oriented culture to prevent burnout. Roadmap Execution: Help define a comprehensive SOC strategy and maturity framework aligned with organizational risk management. Stakeholder Liaison: Act as a trusted advisor to Product, IT, and Development leaders to integrate security into cross-functional workflows. Metrics & Operational Excellence: Data-Driven Reporting: Develop dashboards (e.g., Power BI) to track KPIs, KRIs, and detection coverage. Incident Lifecycle: Lead the lifecycle of escalated incidents, conduct root cause analysis, and execute tabletop exercises. 24/7 MDR Strategy: Define operational procedures for Managed Detection and Response (MDR) and sustainable on-call rotations. Qualifications for Success Proven Leadership: 8+ years in InfoSec with specific experience leading SOC or MDR functions. Azure Mastery: Deep technical expertise in the Microsoft security stack. Framework Knowledge: Familiarity with MITRE ATT&CK, Purple Teaming, and cloud-native detection. Soft Skills: Exceptional ability to simplify complex technical content for executive-level communication.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Senior Associate Infrastructure L1 (AWS) Location: Bengaluru, India Department: Infrastructure & Cloud Engineering Employment Type: Full-Time About the Role As a Senior Associate Infrastructure L1 (AWS), you will design, implement, and manage secure, scalable, and highly available cloud infrastructure for enterprise digital transformation initiatives. You ll collaborate with cross-functional teams to automate deployments, enable DevOps best practices, and ensure robust observability across systems. Your goal is to reduce time-to-market and optimize performance, cost, and compliance. Key Responsibilities Architect and build immutable infrastructure on AWS and/or other cloud platforms. Implement and maintain infrastructure as code using Terraform, CloudFormation, or similar. Manage containerized environments using Kubernetes (EKS/GKE), ECS, Docker, and Helm. Implement service mesh (e.g., Istio) for advanced traffic management, monitoring, and security. Develop and manage CI/CD pipelines using Jenkins, GitLab, CircleCI, or similar. Automate build/deployment processes using Groovy, Go, Python, Shell, or PowerShell. Integrate DevSecOps and security scanning into the software delivery lifecycle. Configure and maintain monitoring, logging, and observability using: Monitoring: Prometheus, Grafana, Datadog, New Relic Logging: ELK Stack, Fluentd, Splunk Observability: OpenTelemetry, Jaeger, Kiali, CloudTrail, Dynatrace Troubleshoot infrastructure, performance, and deployment issues. Collaborate with application teams and stakeholders to ensure high performance and availability of deployed services. Required Skills & Qualifications 4 to 12 years of experience in Cloud Infrastructure & DevOps roles. Bachelor's or Master s degree in Engineering, Computer Science, or related field. Hands-on experience with AWS (EC2, VPC, IAM, Lambda, RDS, CloudWatch, etc.) Solid experience in container orchestration using Kubernetes (EKS/GKE) and infrastructure management. Expert in IaC tools like Terraform (preferred), ARM templates, Pulumi, etc. Proficiency in CI/CD pipeline automation and scripting. Familiarity with cloud-native security practices and vulnerability scanning tools. Experience with DNS, Load Balancers, and high-volume application infrastructure setup. Hands-on experience with artifact repositories like Nexus or Artifactory. Preferred Certifications (Nice to Have) Associate-level certifications in AWS, Azure, or GCP HashiCorp Certified Terraform Associate Benefits Gender-neutral workplace policies 18 paid holidays per year Generous parental leave and new parent transition support Flexible work arrangements Comprehensive Employee Assistance Program (mental & physical wellness) About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations evolve into their future state through technology, data, consulting, and customer-first experiences. With over 20,000 employees across 53 offices, we combine deep domain knowledge with a start-up mindset and agile methods to solve complex business challenges.

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.

Job Title: Enterprise Infrastructure Automation Architect Location: Bengaluru, India Experience: 16 20 Years Service Line: Cloud & Infrastructure Services Educational Qualifications: B.E., B.Tech, M.Tech, BCA, MCA, MBA Role Overview: We are looking for a seasoned Enterprise Infrastructure Automation Architect to lead the design and implementation of automation strategies across our global IT infrastructure. This role is pivotal in driving enterprise-wide automation initiatives, streamlining operations, and enabling digital transformation through scalable and secure infrastructure automation solutions. Key Responsibilities: Infrastructure Automation Strategy & Roadmap Define and maintain the enterprise automation strategy aligned with organizational goals and IT objectives. Identify automation opportunities across compute, storage, network, virtualization, cloud, and data center domains. Establish automation goals, KPIs, and success metrics for continuous improvement. Evaluate and recommend emerging automation technologies and frameworks. Solution Design & Architecture Design scalable, secure, and maintainable automation architectures for enterprise infrastructure. Define enterprise-wide automation standards and best practices (e.g., IaC, scripting, orchestration). Select and standardize tools such as Ansible, Terraform, Python, PowerShell, and cloud-native automation services. Build reusable automation frameworks, templates, and modules to ensure consistency. Implementation & Governance Provide architectural oversight and support during implementation and deployment phases. Ensure compliance with automation standards and governance throughout the lifecycle. Participate in project reviews to ensure strategic alignment with enterprise automation goals. Establish governance processes for managing scripts, workflows, and infrastructure-as-code artifacts. Additional Responsibilities: Proven experience in IT Service Management and remote delivery automation environments. Ability to articulate the business value and operational impact of automation initiatives. Self-motivated, creative thinker with excellent problem-solving abilities. Excellent communication skills, both verbal and written. Technical & Professional Requirements: In-depth knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman). Expertise in infrastructure domains including compute, storage, middleware, backup (on-prem & cloud). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures. Proficiency in security standards and best practices across global IT environments. Hands-on experience with monitoring and orchestration tools. Skilled in creating architecture diagrams and workflow visualizations using tools like MS Visio, Lucidchart, etc.

Job Title: Cloud Architect SRE Location: Bangalore, India Shift: Rotational Shift Overview At Aptean, we build tailored ERP solutions that power transformation across industries from food production to manufacturing. In a world of generic enterprise software, our targeted products stand apart, delivering measurable results. With over 50 products, 3,000+ employees, and a global customer base, now is the perfect time to grow your career with us. About the Role We are looking for a highly skilled Cloud Architect SRE with deep expertise in Amazon Web Services (AWS) to lead the design, implementation, and management of cloud infrastructure. You ll play a pivotal role in defining our cloud strategy, enhancing system reliability, optimizing performance, and ensuring high availability and security across environments. Key Responsibilities Cloud Architecture & Strategy Design scalable, secure, and resilient AWS cloud architectures. Define and maintain architectural standards, templates, and best practices. Drive cloud governance, including IAM, PIM/PAM, and policy enforcement. Infrastructure & Automation Manage and troubleshoot AWS IaaS and PaaS services. Expertise in Windows Server OS, DNS, DHCP, RDWeb, and domain controllers. Implement automation and scripting for reporting, inventory, and orchestration. Optimize cloud resources for performance, reliability, and cost efficiency. Security & Compliance Implement AWS security controls including IAM, encryption, and network protection. Ensure compliance with frameworks like SOC2, BUPA, and internal policies. Conduct regular security assessments and resolve vulnerabilities. Cost Optimization Analyze and reduce cloud costs using AWS Cost Explorer, Trusted Advisor, etc. Leverage reserved and spot instances, right-sizing, and efficient resource management. Documentation Create and maintain detailed documentation including architecture diagrams, SOPs, and technical guides. Qualifications Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of hands-on experience designing and deploying AWS cloud architectures. Proven experience with AWS services such as EC2, S3, VPC, IAM, RDS, and CloudFormation. Proficiency with Infrastructure as Code (Terraform, CloudFormation). Strong understanding of networking protocols and DevOps principles. Certifications (preferred): AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional Soft Skills: Strong analytical and troubleshooting abilities Excellent communication and team collaboration Proactive and self-driven with the ability to work independently If you're passionate about solving complex technical challenges and shaping the future of cloud infrastructure, Aptean is the place for you. Our culture values diversity, inclusion, and collaboration where every voice matters and innovation thrives. Diversity & Inclusion at Aptean Aptean is committed to fostering a diverse, inclusive workplace. We celebrate differences in race, gender identity, sexual orientation, religion, disability, age, and background believing that diverse teams drive innovation and better results for our customers. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Staff Software Engineer Databases Location: Bengaluru, India Company: Databricks About Databricks Databricks is a leading data and AI company powering over 10,000 organizations globally, including half of the Fortune 500. Founded by the original creators of Apache Spark , Delta Lake, and MLflow, Databricks offers a unified platform for data, analytics, and AI, enabling enterprises to innovate with confidence. With its global presence and a growing Bengaluru team, Databricks is rapidly expanding. Role Overview As a Staff Software Engineer in Bengaluru, you ll work within Backend or Distributed Data Systems (DDS) teams to build scalable, reliable, and high-performance services powering Databricks data and AI platform. You will tackle challenges ranging from distributed systems and cloud storage to service architecture, workflow orchestration, and developer experience. Key Responsibilities Develop large-scale distributed backend services, including managing cloud storage backends like AWS S3 or Azure Blob Store. Build and maintain infrastructure that supports millions of cluster-hours per day. Contribute to key DDS projects such as Apache Spark , Delta Lake, and performance engineering. Design and implement high-performance, reliable, and scalable systems and client libraries. Collaborate cross-functionally to drive innovation in cloud-native data processing and storage. Qualifications BS or higher in Computer Science or related field. 10+ years of production software engineering experience in Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from the ground up. Experience with SaaS platforms or Service-Oriented Architectures. Benefits & Culture Competitive benefits tailored to employees needs. Committed to fostering a diverse, inclusive, and equitable work environment. Diversity & Inclusion Statement Databricks ensures equal employment opportunities regardless of age, race, gender, ethnicity, disability, sexual orientation, veteran status, or other protected characteristics, striving for a welcoming and inclusive workplace. Qualification : BS or higher in Computer Science or related field.

Sr. Data Engineer - AWS - Big Data Location:Bangalore Type of Employment: Full-Time Experience Required: 7 to 10 years Job Overview: We are seeking a highly skilled Sr. Data Engineer with expertise in AWS cloud technologies and Big Data to join our Cloud Data Architect Team at Infocepts. In this critical role, you will design and implement robust data solutions using technologies like EMR, Athena, PySpark, AWS Lambda, S3, and other AWS services. The ideal candidate will have a strong foundation in database concepts and SQL and will be responsible for building scalable data pipelines to support high-performance data processing. Key Responsibilities: Technology Assessment and Design: Study the existing technology landscape and evaluate current data integration frameworks. Assist in designing complex Big Data use cases leveraging AWS services. Documentation and Stakeholder Communication: Prepare and maintain comprehensive project documentation, adhering to quality guidelines and schedules. Work closely with Architects and Project Managers to provide accurate estimations, scoping, and scheduling assistance. Clearly communicate design decisions and conduct Proof-of-Concepts to validate new solutions before implementation. Process Improvement and Automation: Identify areas for process automation to improve efficiency and team productivity. Provide expert guidance and troubleshooting support to junior Data Engineers. Training and Knowledge Sharing: Develop and deliver technology-focused training sessions for the team, ensuring continuous knowledge sharing. Share expertise through Expert Knowledge Sharing sessions with Client Stakeholders. Essential Skills: AWS Services Expertise: In-depth knowledge of S3, EC2, EMR, Athena, AWS Glue, and Lambda. Big Data Technologies: Proficiency with Apache Spark, Databricks, and Big Data table formats such as Delta Lake (open-source). Data Warehousing: Strong understanding of data warehousing concepts and architectures. Programming Skills: Advanced programming skills in Python for building data pipelines. SQL Expertise: Strong SQL skills for data transformation, aggregation, and querying large datasets. ETL Workflow Development: Expertise in creating ETL workflows with complex transformations (e.g., SCD, deduplication, aggregation). Orchestration Tools: Familiarity with orchestration tools like Apache Airflow. MPP Databases: Experience with at least one MPP database (e.g., AWS Redshift, Snowflake, SingleStore). Cloud Databases: Exposure to cloud databases like Snowflake or AWS Aurora. Desirable Skills: Cloud Databases: Familiarity with Snowflake, AWS Aurora. Big Data Technologies: Experience with Hadoop and Hive. AWS Certification: Associate or Professional Level AWS Certification. Advanced Knowledge of Big Data Solutions: Exposure to big data tools and frameworks on cloud platforms. Qualifications: Experience: 7+ years of overall IT experience, with 5+ years specifically focused on AWS-related projects. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Technical Certifications: Demonstrated commitment to continuous learning through certifications or relevant training. Qualities: Strong analytical and problem-solving skills to deep dive into complex technical challenges.

Job Description: Senior Software Development Engineer - Oracle Cloud Infrastructure Core Services Development Team Role: Senior Software Development Engineer Team: OCI Virtual Networking Core Services Development Team Location: India Career Level: IC3 Experience: 4+ years Overview: Oracle's Cloud Infrastructure (OCI) is building state-of-the-art infrastructure-as-a-service (IaaS) technologies that operate at high scale across a globally distributed, multi-tenant cloud. The OCI Virtual Networking team is at the heart of this effort, developing distributed, highly available virtual networking services. This team is responsible for foundational cloud services, such as the Virtual Cloud Network (VCN), VPN, Customer Cloud Connectivity, Network Firewalls, and other edge services. As a Senior Software Development Engineer, you will be responsible for designing, developing, and optimizing complex distributed systems that interact with end users and network infrastructure. Your role will involve working on distributed services, developing algorithms for efficient data transfer across networks, and ensuring scalability and reliability within Oracle's cloud environment. You will work closely with a collaborative, agile team of engineers while contributing to building the future of cloud networking services. Key Responsibilities: Software Development & Design: Design, develop, and implement distributed networking services within OCI's Virtual Cloud Network (VCN). Focus on writing clean, maintainable, and optimized code to enhance performance and scalability. Develop and optimize algorithms to ensure efficient data transfer and network operations across the distributed cloud infrastructure. Ensure the performance and scalability of the code, especially when deployed in a cloud environment. Collaboration & Agile Work Environment: Collaborate closely with cross-functional teams in a fast-paced, agile development environment. Participate in the full software development lifecycle, from planning and design to testing and deployment. Work with other team members to ensure the integration of various OCI services, with a focus on automation and scalability. Operational Support & Troubleshooting: Contribute to the operational support of production services, including on-call duties. Troubleshoot and resolve complex issues, ensuring high availability and reliability of networking services. Provide technical leadership and contribute to the continuous improvement of the services. Leadership & Mentorship: Take ownership of parts of the service and its components, leading from design to implementation. Mentor junior engineers and provide technical guidance and support. Share knowledge and contribute to the team s growth through code reviews, knowledge-sharing sessions, and coaching. Technical and Professional Requirements: Programming Expertise: Expert-level experience with Java in developing large-scale, high-performance applications. Experience in concurrent programming and the design of distributed systems. Proficiency in solving complex problems related to scalability, performance, and reliability in cloud environments. Cloud & Distributed Systems: Experience in building and maintaining distributed, scalable services, especially within cloud infrastructures. Strong knowledge of cloud technologies and networking protocols. System Design & Optimization: Solid understanding of system architecture, including how components interact in a distributed, cloud-based system. Ability to optimize code for performance and scalability in production environments. Operational Understanding: Experience in operating production services and providing support during on-call rotations. Understanding of troubleshooting complex system issues, particularly in a distributed cloud environment. Team Collaboration & Communication: Ability to work in a collaborative and agile team environment. Strong verbal and written communication skills for effective coordination across teams. Preferred Qualifications: Experience in Large-Scale Distributed Services: Prior experience in building and scaling distributed services, particularly in cloud or network-related domains. Python Skills: Knowledge of Python for scripting, automation, and solving network-related problems is a plus. Additional Skills: Experience with cloud services, such as VPN, firewalls, network connectivity, and network security. Exposure to containerization technologies such as Docker and orchestration tools like Kubernetes is advantageous. Educational Requirements: Bachelor s or Master s degree in Computer Science, Electrical/Hardware Engineering, or a related field. At Oracle, you will have the opportunity to work on cutting-edge technologies that power cloud networking at a global scale. You will be part of a dynamic and innovative team, contributing to the development of highly scalable and distributed networking services within Oracle's cloud infrastructure. Your expertise will be crucial to driving the evolution of cloud technologies, and you will have a chance to mentor junior engineers while working in a collaborative, fast-paced environment. Qualification : Bachelors or Masters degree in Computer Science, Electrical/Hardware Engineering, or a related field.

Job Description: Site Reliability Engineer - OCI Cloud Engineering Team Role: Site Reliability Engineer (SRE) Team: OCI OLTP (Online Transaction Processing) Location: Kiev Career Level: IC2 Experience: 5+ years Overview: Oracle Cloud Infrastructure s (OCI) OLTP organization is seeking a Site Reliability Engineer (SRE) to join our dynamic and fast-paced Cloud engineering team. The team is responsible for mission-critical distributed systems and cloud services, and we are looking for an engineer who is deeply interested in databases, distributed systems, and cloud services. If you thrive in an environment where innovation, problem-solving, and operational excellence intersect, this is an exciting opportunity for you! As a member of the SRE services, you will focus on Cloud Services, building deployments, operations, security vulnerability mitigation, and automation. You will be instrumental in fostering a culture of Site Reliability Engineering (SRE) within the team, and your work will directly contribute to ensuring the stability, performance, and reliability of Oracle s global cloud service infrastructure. This role requires someone who is adaptable, highly motivated, and capable of managing large-scale cloud environments with a focus on continuous improvement. Key Responsibilities: Cloud Service Operations & Reliability: Deploy, operate, and maintain large-scale cloud service products in a highly available, fault-tolerant, and scalable environment. Collaborate with internal teams to identify and mitigate cross-team issues that pose operational risks to cloud services. Focus on systems reliability and ensure the continuous availability of cloud services by automating tasks and eliminating manual interventions. Automation & Improvements: Automate operational tasks and improve service deployments, focusing on scaling, performance, and uptime. Contribute to CI/CD systems, ensuring seamless integration and continuous delivery for cloud-based services. Leverage automation tools such as Terraform, Grafana, and Bitbucket to streamline operations. Security & Incident Response: Mitigate security vulnerabilities within cloud services and ensure compliance with Oracle's security standards. Participate in on-call rotations to provide immediate troubleshooting support and ensure rapid issue resolution. Perform deep analysis of service performance and collaborate with team members to diagnose and resolve issues that affect service availability or performance. Collaborative Problem-Solving: Work closely with cross-functional teams, including development, database, networking, and storage experts, to ensure the reliability and performance of services. Identify systemic issues and potential risks, develop solutions, and ensure proper documentation and communication with stakeholders. Documentation & Knowledge Sharing: Contribute to documentation such as runbooks, operational guides, and troubleshooting manuals. Mentor junior engineers and share knowledge on best practices for site reliability engineering and cloud service operations. Continuous Learning: Stay up to date with new cloud technologies, trends, and best practices, and actively implement them in your day-to-day work. Technical and Professional Requirements: Cloud Services & Infrastructure: 5+ years of experience in SRE, DevOps, or Automation roles with a focus on large-scale infrastructure and cloud services. Hands-on experience with cloud platforms (e.g., OCI, AWS, Azure) and expertise in compute, database, networking, and storage services within cloud environments. Automation & Tooling: Proficiency with automation tools such as Terraform, Grafana, LumberJack, and Shepherd. Solid experience in using CI/CD tools and processes for cloud service deployments and operations. Scripting & Systems: Strong knowledge of scripting languages, particularly Python and Java. Familiarity with Linux systems, docker containers, virtualized infrastructure, and orchestration (e.g., Kubernetes). Performance & Troubleshooting: Excellent troubleshooting skills with a focus on performance, availability, reliability, and scalability of distributed systems. Experience in operating fault-tolerant, highly available, high-throughput distributed systems. Security & Incident Management: Familiarity with security practices and mitigating security vulnerabilities in cloud services. Proven ability to handle incident response and provide efficient troubleshooting during on-call rotations. Collaboration & Communication: Strong verbal and written communication skills, capable of working effectively with diverse teams across multiple geographies. Ability to work in a highly collaborative environment, driving operational excellence and customer satisfaction. Preferred Qualifications: Experience in operating and maintaining multi-tenant, cloud-based infrastructure with a focus on scalability and high availability. Familiarity with tools and platforms like Grafana, Prometheus, and other observability and monitoring tools. Experience in networking and storage technologies in a cloud environment. Joining OCI s OLTP team as an SRE gives you the opportunity to work with cutting-edge technologies and contribute to the operational excellence of Oracle s global cloud infrastructure. This is a chance to grow your skills in a highly dynamic environment and to solve complex problems that directly impact mission-critical cloud services. With a focus on automation, scalability, and high performance, you will be an essential part of a team that powers Oracle s leading cloud services. If you are an experienced engineer passionate about cloud technologies, automation, and ensuring the reliability of large-scale systems, we encourage you to apply and join us in this exciting journey!

Job Title: Technology Support II Location: Bengaluru, India Department: Corporate Technology Team, JPMorgan Chase Job Description As a Technology Support II within the Corporate Technology team at JPMorgan Chase, you will leverage best practices in software engineering to solve complex business problems and drive excellence in technology solutions. You will be responsible for working on small to medium projects independently and collaborating with cross-functional teams to enhance your understanding of business needs and relevant technologies. This role involves championing site reliability practices, applying your experience in Agile SDLC, and proficiency with development toolsets. You will have a solid understanding of application, data, and infrastructure architecture, and effectively use ETL software such as Ab Initio. Staying updated on industry trends, leveraging your knowledge of financial instruments, and fostering an innovative culture will be key to your success. You will apply your software skills in business analysis, development, maintenance, and improvement, all while collaborating within large teams to achieve the organization s goals. Key Responsibilities Site Reliability: Champion site reliability culture, providing technical influence across the team. Agile Practices: Apply your experience with Agile SDLC and proficiency with development tools. Application & Infrastructure Architecture: Demonstrate solid knowledge in application, data, and infrastructure architecture disciplines. ETL Software Usage: Utilize Ab Initio ETL software effectively to process and integrate data. Industry Awareness: Stay informed about technology trends and best practices across the industry. Financial Instrument Knowledge: Leverage knowledge of various financial instruments in your work. Innovation Culture: Foster an innovative culture, bringing passion and creativity to problem-solving. Software Skills Application: Apply your software skills in business analysis, development, maintenance, and improvement. Collaboration: Collaborate effectively in large teams to meet organizational goals. Independent Work: Work independently and take the initiative on tasks and projects. Required Qualifications, Capabilities, and Skills Training & Certification: Formal training or certification in application support concepts, with 2+ years of applied experience. Programming & Scripting: Experience in Python or similar programming languages. Automation Tools: Experience with automation tools such as Ansible, Autosys, or Control-M. Site Reliability Knowledge: Emerging knowledge of reliability, scalability, performance, security, and site reliability best practices. Monitoring & Alerting: Familiar with service level objective alerting and monitoring tools (e.g., Splunk, Datadog, Dynatrace). CI/CD Tools: Familiar with continuous integration and delivery tools such as Jenkins, GitLab, or Terraform. Automation with Terraform & Python: Emerging knowledge of Terraform and automation in Python. Containers & Orchestration: Emerging knowledge of containers and container orchestration tools (e.g., ECS, Kubernetes, Docker). Collaboration Skills: Strong communication and collaboration skills, with the ability to thrive in a fast-paced, dynamic environment. Preferred Qualifications Cloud Experience: Experience with cloud platforms (preferably AWS) and setting up infrastructure using Terraform. Platform Experience: Advantageous to have experience supporting applications on platforms such as Databricks, Snowflake, or AWS EMR. Virtualization & Cloud Architecture: Knowledge of virtualization, cloud architecture, and services for automated deployments. About JPMorgan Chase JPMorgan Chase is one of the oldest and most prominent financial institutions in the world. With over 200 years of history, we provide innovative financial solutions to millions of consumers, small businesses, and some of the world's largest corporate, institutional, and government clients. Our services span across investment banking, consumer banking, small business banking, commercial banking, financial transaction processing, and asset management. Join us and be part of a global leader in the financial services industry.

Job Title: Associate Infrastructure Specialist - IBM Consulting Introduction: As part of the IBM Consulting Client Innovation Centers (Delivery Centers), you'll play a pivotal role in delivering technical and industry expertise to a diverse range of public and private sector clients around the world. These centers offer locally-based skills and expertise, driving innovation and the adoption of new technologies. In this role, you'll join IBM Consulting through our world-class Associate Program designed for university hires. As an Associate at IBM Consulting, you'll have the opportunity to collaborate with a wide variety of clients globally, solving complex business and technical problems. Our clients technical and business needs are ever-evolving, and we re hiring motivated, talented individuals who believe no challenge is too great to overcome. With industries like transportation, energy, insurance, banking, and healthcare rapidly adapting to new technologies, you ll be at the forefront of helping our customers navigate these changes. As an Infrastructure Specialist, you ll help clients choose the best solutions whether on-premises, off-premises, or hybrid ensuring their infrastructure keeps pace with modern demands. Your Role and Responsibilities: Problem Identification & Resolution: Identify business problems, understand customer issues, and provide solutions to resolve them effectively. Service Improvement: Evaluate recurring issues and develop permanent solutions to ensure smooth, ongoing operations. Troubleshooting & Design Fixes: Troubleshoot technical issues and design flaws, working to resolve them and enhance system functionality. Teamwork & Individual Contributions: Work both independently and as part of a team to ensure timely delivery of high-quality solutions. Required Technical and Professional Expertise: Education: BE/B.Tech in any stream, M.Sc. (Computer Science/IT), M.C.A. Experience: 3-5 years of hands-on experience in infrastructure management and cloud technologies. Azure Expertise: Proficiency with Azure IAAS, PAAS, and SAAS services, including:Virtual Machines (VM), Storage Accounts, Load Balancer, Application Gateway, VNET, Route Tables, Azure Bastion, Disaster Recovery, Backup, NSG, Azure Update Manager, Key Vault. Experience with Azure Web Apps, Function Apps, Logic Apps, Azure Kubernetes Service (AKS), Docker, Event Hub, Redis Cache, Service Mesh, Istio, App Insight, Databricks, Active Directory (AD), DNS, Log Analytics Workspace, ARO (Azure Red OpenShift). Orchestration & Containerization: Proficient in Docker, Kubernetes, and RedHat OpenShift. Security Management: Experience in Firewall Management, including FortiGate firewall configuration and management. Preferred Technical and Professional Expertise: Cloud Monitoring Tools: Experience with cloud-native monitoring tools such as CloudWatch, CloudTrail, Azure Monitor, Activity Log, vROps, and Log Insight. Server Management: Experience managing and monitoring servers (Windows, Linux, AIX, AWS Linux, Ubuntu Linux). Storage Management: Expertise in storage monitoring and management, including Blob storage, S3, EBS, backups, recovery, and snapshots. Innovation: Work at the cutting edge of technology, helping global businesses adopt and integrate innovative solutions. Global Impact: Your work will have a direct impact on how industries around the world are evolving and leveraging new technologies. Career Growth: Gain access to IBM s resources, professional development programs, and career advancement opportunities. Collaborative Culture: Join a dynamic and diverse team where collaboration, mentorship, and learning are at the forefront of everything we do. If you re ready to embark on an exciting career in infrastructure management, apply to join IBM Consulting and contribute to shaping the future of technology for industries worldwide! Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A

Job Title: Application Developer - IBM Consulting Introduction: As an Application Developer in one of IBM's Consulting Client Innovation Centers (Delivery Centers), you'll be at the forefront of delivering deep technical expertise to both public and private sector clients worldwide. Our delivery centers offer locally based skills that drive innovation and facilitate the adoption of new technologies. At IBM, your role will involve transforming business requirements into code, contributing to the development of customized systems in an agile environment. By leveraging the latest tools, technologies, and education, you will help accelerate IBM's and its clients' digital transformations globally. Your work will integrate seamlessly with enterprise systems, creating solutions that drive innovation and business success. This is an exciting opportunity to make a global impact while advancing your career in one of the world's leading technology companies. Your Role and Responsibilities: Solution Design & Development: Address functional needs by designing and developing solutions using multiple technologies, converting high-level designs into functional and technical specifications. Application Support & Performance: Provide functional support services to ensure applications meet customer performance, availability, service level agreements (SLAs), and satisfaction targets. Project Management & Governance: Ensure adherence to project management practices and processes such as software application development, testing, service management, change management, and root cause analysis (RCA). Project Execution: Plan and manage medium to large-scale, complex, integrated application or platform projects, ensuring they are executed effectively within scope, timeline, budget, and quality parameters. Best Practices & Design Reviews: Define and promote coding best practices within your team. Perform design reviews to ensure the robustness and quality of the developed solutions. Required Technical and Professional Expertise: Languages & Frameworks: Proficiency in Java 8 and above, Spring Boot, and REST API Design & Development. Database & ORM: Experience with Spring Data/JPA/Hibernate and working knowledge of databases such as SQL Server/DB2. Containerization & Orchestration: Expertise in Docker, container orchestration platforms like OpenShift or Kubernetes. Messaging Systems: Familiarity with messaging platforms such as RabbitMQ and Kafka. CI/CD: Experience with continuous integration and continuous deployment tools such as Azure DevOps and Drone.io. Monitoring & Alerting: Knowledge of monitoring and alerting systems like AppDynamics and Prometheus. Preferred Technical and Professional Expertise: Log Management & Visualization: Experience with the ELK Stack (Elasticsearch, Logstash, Kibana) for log management and analysis. Data Visualization & Monitoring: Familiarity with Grafana for data visualization. Cloud Computing: Experience with AWS and cloud-based application deployments. Innovative Culture: At IBM, you ll work with cutting-edge technologies that are transforming industries globally. Global Impact: Your work will directly contribute to the success of clients worldwide by delivering impactful solutions. Career Growth: Gain access to professional development programs, training, and mentorship that will accelerate your career. Dynamic Work Environment: Join a diverse, collaborative team where creativity and new ideas are highly encouraged. If you're passionate about developing innovative solutions, transforming business needs into code, and working with the latest technologies, apply today to join IBM Consulting and make a significant global impact.

Minimum Qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience. 3 years of experience with systems automation and tooling using Python, Go, or any other programming language. 3 years of experience in managing technical infrastructure (e.g., deployment, maintenance, troubleshooting). 3 years of experience in Linux Internals, Networking, and Systems administration. Preferred Qualifications: 6 years of experience in implementing, troubleshooting, and supporting computing systems. Experience with DevOps tools such as Terraform, Puppet, Ansible, Jenkins. Experience with cloud provider ecosystems of cloud service providers. Experience in supporting large-scale complex cloud-based infrastructure. Experience in one of the High Performance Computing (HPC) Schedulers such as LSF, Symphony, NC, or SLURM. Excellent investigative, problem-solving, and communication skills. About the Job: Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don t just write code to fix bugs but emphasize the development of tools and solutions that fix classes of problems. We know it s hard to control what you can t measure so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments, and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters. Google brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects while striving to create an environment that provides the support and mentorship needed to learn and grow. Together we engineer and build the infrastructure, tools, access, and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter. In this role, you will be responsible for building and operating the underlying foundation infrastructure used for designing custom silicon. This includes compute platforms, CI/CD, Cloud, groups and Access Control Lists (ACLs), source control, dashboards, resource economy, and bench labs used by silicon engineers in their daily work. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities: Ensure the timely delivery of silicon designs using Google Cloud Platform (GCP) within a fluid environment. Monitor and uphold high standards for internal services on Google Cloud. Provide support, maintain, and deploy team-supported infrastructure and documentation. Collaborate closely with engineering teams to implement and develop on Google Cloud infrastructure. Automate tasks wherever needed. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

What Gramener Offers You Gramener provides an inviting workplace with talented colleagues from diverse backgrounds, clear career paths, and steady growth prospects. We offer ample opportunities to innovate and be part of an ecosystem focused on building easily configurable data applications for storytelling with data in both public and private sectors. Roles and Responsibilities Design, implement, and manage CI/CD pipelines using Azure Pipelines for automated build, test, and deployment processes. Manage source control with Azure Repos and integrate version control practices into development workflows. Set up project management and tracking with Azure Boards, collaborating across development, QA, and operations teams. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, ARM templates, and Bicep. Implement and maintain Docker containerization and orchestrate applications with Azure Kubernetes Service (AKS). Monitor application performance and system health using Azure Monitor, Application Insights, and Log Analytics. Implement DevSecOps practices, managing secrets with Azure Key Vault and ensuring security best practices. Optimize Azure cloud resources for performance and cost efficiency, utilizing auto-scaling features for scalability. Collaborate with cross-functional teams to troubleshoot and resolve pipeline and infrastructure issues. Manage cloud storage, databases, and networking using Azure Storage, Azure SQL Database, and Azure Virtual Networks. Skills and Qualifications 5+ years of experience with Azure DevOps tools: Azure Pipelines, Azure Repos, Azure Boards, and Azure Artifacts. Proficiency in Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep. Hands-on experience with Docker and Kubernetes (AKS) for container orchestration. Strong knowledge of monitoring and logging tools: Azure Monitor, Application Insights, and Log Analytics. Familiarity with Azure cloud services: Azure Storage, Azure SQL Database, Azure Virtual Networks, and Azure Key Vault. Scripting skills with PowerShell, Bash, or Python. About Us At Gramener, we help organizations make data-driven decisions by providing strategic data consulting and laying out roadmaps for data transformation. Our services focus on converting data into a strategic differentiator through data visualization, analysis, and custom solutions, enabling clients to derive actionable insights from large datasets.

We re growing fast and attracting the best talent in the world. Bricksters as we call ourselves are a special mix of smart, curious, quick thinkers. If you ask a Brickster what they love about working here, you ll likely hear about our culture. We are seeking an experienced NOC Engineer to join our team. The successful candidate will be responsible for monitoring critical Databricks infrastructure and developing monitoring tools and alerting dashboards. They will also work closely with stakeholders to investigate and resolve incidents, perform root cause analysis, and propose solutions to increase the reliability and stability of the Databricks unified analytics platform. The impact you will have here: Monitor critical infrastructure, triage alerts to proactively identify incidents, and work with stakeholders to resolve incidents. Investigate incidents and propose solutions to improve platform reliability and stability. Perform root cause analysis for recurring incidents and provide proactive solutions. Develop toolings or automate processes to improve platform monitoring and alerting. Contribute to software development efforts to improve overall service reliability and stability. Communicate effectively with internal stakeholders, including executive staff, to provide incident analysis. Participate in war rooms and temporary communication channels during outages. Demonstrate cross-functional leadership and establish ownership of incidents and outages. Multitask on several incidents and/or projects Minimum of 5 years of experience as a NOC, SRE, or DevOps engineer Strong knowledge of cloud technologies such as Azure, AWS, and GCP Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, Pager Duty, etc. Experience with containers and orchestration technologies such as Docker and Kubernetes. Proficiency in automation and scripting Linux systems administration skills. Excellent communication skills. Willingness to learn Databricks products Bachelor's degree in Computer Science or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : Bachelor's degree in Computer Science or a related field is required.

About Databricks At Databricks, we are passionate about enabling data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating the development of medical breakthroughs. We build and run the world s best data and AI infrastructure platform, empowering our customers to use deep data insights to transform their businesses. Databricks Mosaic AI offers a data-centric approach to building enterprise-quality Machine Learning (ML) and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, trained and augmented with their enterprise data. We re only getting started in Bengaluru, India, where we are currently setting up 10 new engineering teams from scratch! The Opportunity Senior Software Engineer As a Senior Software Engineer at Databricks India, you ll have the opportunity to work on a variety of challenging projects across multiple domains: Backend Engineering Distributed Data Systems (DDS) Full-Stack Development The Impact You ll Have 1. Backend Engineering Join our Backend teams and tackle challenges that range from product to infrastructure: Solve complex problems in distributed systems, large-scale service architecture, monitoring, workflow orchestration, and developer experience. Build reliable, high-performance services and client libraries for managing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Work on scalable services (e.g., Scala, Kubernetes) and data pipelines (e.g., Apache Spark, Databricks) that support our pricing infrastructure, processing millions of cluster-hours per day. 2. Distributed Data Systems (DDS) Work across a range of exciting DDS projects: Apache Spark Data Plane Storage Delta Lake Delta Pipelines Performance Engineering 3. Full-Stack Engineering As a Full-Stack Software Engineer, collaborate closely with your team and product managers to create intuitive user experiences that delight our customers. What We Look For BS or higher in Computer Science or a related field. 7+ years of production-level experience in one or more of the following languages: Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures (SOA). About Databricks Databricks is the data and AI company trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices around the globe. Qualification : BS (or higher) in Computer Science, or a related field.