Container Infrastructure 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.

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

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

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.

DevOps Engineer Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud & DevOps Job Summary: We are seeking an experienced DevOps Engineer to design, implement, and manage CI/CD pipelines on AWS and support application deployments. The ideal candidate will have hands-on expertise with AWS services, automation tools, and security integration within DevOps workflows. Key Responsibilities: Design, configure, and maintain CI/CD pipelines using AWS native tools or traditional platforms such as Jenkins, GitHub Actions, etc. Deploy applications on AWS using services like AWS Fargate, EBS, S3, CodePipeline, CodeBuild, and others Onboard applications onto AWS DevOps platform following the required CI/CD workflow Collaborate with application and operations teams to provide remediation and support for CI/CD pipeline onboarding Integrate various test automation frameworks and tools into CI/CD pipelines for continuous testing Implement security scanning and frameworks within pipelines, including SAST, DAST, IAST, and RASP Monitor the DevOps platform, applications, and infrastructure; respond proactively to incidents and events Automate operational tasks using Ansible or scripting languages (e.g., Python, Bash) Develop reusable automation assets and scripts to streamline DevOps processes Required Skills: Proven experience setting up and managing CI/CD pipelines on AWS and other platforms Strong knowledge of AWS services relevant to DevOps: Fargate, EBS, S3, CodePipeline, CodeBuild Familiarity with automation tools like Ansible, scripting languages, and infrastructure-as-code Experience integrating security tools and frameworks within DevOps pipelines Good troubleshooting and monitoring skills with cloud-native tools and third-party platforms Excellent collaboration skills for working across development and operations teams Preferred Qualifications: Bachelor s degree in Computer Science, Engineering, or related field Certifications in AWS DevOps (AWS Certified DevOps Engineer) or similar credentials Experience with container orchestration (e.g., Kubernetes) and Docker Knowledge of Agile and DevSecOps methodologies Work on cutting-edge cloud-native DevOps solutions Collaborate with a dynamic team focused on automation and security Opportunity for professional growth and certification support Qualification : Bachelors degree in Computer Science, Engineering, or related field.

Cloud Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 8 to 15 Years Industry: IT Software / Cloud Computing Job Summary: We are seeking a seasoned Cloud Architect with deep expertise in designing and implementing secure, scalable cloud solutions across public and private cloud platforms. The ideal candidate will have strong knowledge of enterprise application and integration patterns, cloud-native microservices, and security architecture. Key Responsibilities: Architect and design cloud solutions leveraging AWS, Microsoft Azure, and Google Cloud Platform (GCP) Develop microservices-based applications using Docker and Kubernetes, and deploy them on cloud platforms Define security architectural requirements, including threat modeling, identity and access management, PKI, and secrets management Ensure cloud environments adhere to security protocols, compliance standards, and best practices for authentication and authorization Work with a wide range of cloud services including storage, networking, and security components Apply knowledge of Big Data ecosystems such as Hadoop and NoSQL databases to design scalable data processing architectures Deploy and manage cloud infrastructure using Terraform for infrastructure as code (IaC) Utilize configuration management tools like Puppet, Chef, and continuous integration tools such as Git and Jenkins Collaborate within Agile teams to deliver cloud architecture solutions efficiently Stay updated on emerging open-source technologies and integrate them into cloud architectures when applicable Required Skills & Qualifications: Extensive experience with both public and private cloud technologies Strong understanding of Enterprise Application Patterns and Integration Patterns Hands-on experience with containerization, microservices, and orchestration tools (Docker, Kubernetes) In-depth knowledge of cloud security, including threat modeling and compliance requirements Proficiency in managing cloud infrastructure on AWS, Azure, and/or GCP Familiarity with Big Data platforms and NoSQL databases Skilled in Infrastructure as Code (IaC) tools, especially Terraform Experience with automation and configuration management tools like Puppet, Chef, Git, and Jenkins Comfortable working in Agile development environments Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field Relevant cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Architect Strong communication skills to articulate complex cloud architectures to diverse stakeholders Lead the design of innovative, secure, and scalable cloud architectures Work with cutting-edge cloud and container technologies in a dynamic environment Opportunity to grow professionally with access to training and certifications Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field

DevOps Engineer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a deep-tech leader in Business Journey Observability, leveraging Big Data and Machine Learning to deliver end-to-end digital experience monitoring for major financial institutions. The platform monitors over 28 billion transactions monthly, powering top banks and enterprises in India and MEA. Work on cutting-edge observability technology Join a Series B funded, award-winning startup recognized by Gartner, Forbes, and NASSCOM Collaborate in a fast-paced, innovative environment focused on learning and growth Access to mental wellness support, health insurance (covering family), and career development programs Role Overview: DevOps Engineer Design, develop, and maintain VuSmartMaps deployments across on-premises, cloud, and hybrid environments Automate deployments using Infrastructure-as-Code (IaC) and CI/CD pipelines Manage cybersecurity assessments and remediations for deployments Collaborate with development teams to improve deployment processes and infrastructure support Publish VuSmartMaps in cloud marketplaces (AWS, Azure, GCP) Stay current on DevOps, CI/CD, infrastructure orchestration, cybersecurity, AI workflows, and big data technologies Key Responsibilities Develop and maintain IaC frameworks enabling flexible VuSmartMaps deployment Build and manage CI/CD pipelines using GitHub Actions, Jenkins Monitor infrastructure, conduct cybersecurity testing, and manage patching Improve deployment efficiency and customer experience Collaborate cross-functionally for seamless integration and rollout Must-Have Skills 3+ years building/managing CI/CD pipelines (GitHub Actions, Jenkins) Certified/experienced in Kubernetes, Docker, Terraform, Helm, YAML Hands-on experience with GitOps workflows Knowledge of web servers (Nginx, Django), identity providers (Active Directory, LDAP), load balancers (Traefik) Experience with databases (PostgreSQL, Elasticsearch, Hadoop stack) and secrets management (Key Vault) Familiarity with cloud services (AWS, Azure, GCP) across IaaS, PaaS, SaaS layers Strong Linux and scripting skills (Bash, Python) Excellent communication skills for cross-team collaboration Good-to-Have Skills Exposure to Red Hat OpenShift, VMware, Ansible, Chef, Puppet Familiarity with container orchestration tools (Podman, Docker Swarm, Nomad) Experience optimizing dockerized microservices and container images Benefits Comprehensive health insurance covering you and your family Mental health and 1:1 counseling support Learning culture focused on innovation and career growth Inclusive, transparent workplace culture Access to new Gen AI tools and integrated tech workspace Career development and skill enhancement programs

Senior Full-stack Developer (Frontend Focus) Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader pioneering AI and data-driven industrial digital transformation, recognized as a top innovator and Microsoft Energy & Resources Partner of the Year. Our flagship products, Cognite Data Fusion and Cognite Atlas AI, empower industries like Oil & Gas, Chemicals, Pharma, and Manufacturing. The Role & Team Join Cognite s Industry and Innovation Team to build impactful, repeatable full-stack solutions for key clients. As a senior developer, you ll design end-to-end systems, mentor peers, and troubleshoot technical challenges. Collaborate closely with designers, architects, and product managers while working with the latest web technologies. Key Responsibilities Develop full-stack applications with a frontend focus using ReactJS. Collaborate with cross-functional teams to deliver customer-centric solutions. Coach and support other developers on the team. Maintain high code quality through well-structured, efficient, and maintainable code. Understand and apply web security best practices to protect applications. Utilize backend skills in Python (FastAPI), Java, or Kotlin to build backend services/APIs. Work with cloud platforms (GCP, Azure, AWS), Kubernetes, Docker, and distributed systems like Kafka, PostgreSQL, Elasticsearch. Apply pragmatic testing approaches including unit, integration, and end-to-end testing. Engage in design activities using tools like Figma. What You Bring 5+ years of full-stack development experience with React as your main frontend framework. Experience with backend languages/frameworks: Python (FastAPI), Java, Kotlin preferred. Familiarity with cloud infrastructure and container orchestration technologies. Hands-on experience with distributed open-source software like Kubernetes, Kafka, PostgreSQL, Elasticsearch. Good understanding of web security concepts and browser restrictions. Bachelor s degree or higher in Computer Science, Engineering, or equivalent experience. Passion for emerging web technologies and continuous learning. Work in a diverse, inclusive environment with 70+ nationalities. Modern hybrid work setting with flat structure and direct decision-maker access. Collaborate on ambitious projects with global impact. Engage with a vibrant community of experts and industry leaders. Enjoy learning opportunities and a culture that values ownership, impact, and relentless innovation.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

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: Security Engineer - II Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: Key Responsibilities: Conduct comprehensive threat modeling for applications, cloud infrastructure, and overall systems architecture. Perform secure code reviews and security assessments for web, Android, and iOS applications, with a strong focus on cloud infrastructure security. Proactively identify and mitigate vulnerabilities across platforms, collaborating with development and DevOps teams to implement secure solutions. Automate and streamline security processes, aligning with the principle that Complexity is the enemy of Security. Oversee Vulnerability Management and Patch Management processes, ensuring timely remediation. Design and implement robust security measures and contribute to Red Team activities, including assessments of cloud, network, wireless, physical, and social engineering scenarios. Take ownership of assigned tasks and drive the continuous improvement of security practices across the organization. Assist in setting up and maintaining monitoring systems to identify and respond to potential incidents in real time. Develop custom tools, scripts, and scanners to address unique security challenges and automate repetitive tasks. Provide architectural guidance for securing cloud-based applications and DevOps pipelines. Continuously stay updated on emerging security technologies and techniques, sharing knowledge with the team. Qualifications: 3-5 yrs experienced Sr security engineer. Expertise in cloud security (AWS, Azure, or GCP) with a strong understanding of securing applications and infrastructure in cloud environments. Proficiency in DevOps and DevSecOps practices, including secure CI/CD pipeline integration and automation. Strong knowledge of OWASP and SANS testing methodologies for identifying and mitigating security vulnerabilities. Good understanding of software security weaknesses, architecture vulnerabilities, and mitigation strategies. Hands-on experience in threat modeling, vulnerability assessments, and penetration testing. Proficiency in any scripting language - Python. Experience in developing or customizing tools, scanners, or extenders for specific security needs. Ability to work independently and collaboratively within a team to solve complex security challenges. Experience in implementing security monitoring systems for early incident detection. Strong problem-solving skills and the ability to think creatively to simulate attack scenarios. Certification in security-related fields (e.g., AWS Certified Security, CISSP, CEH, OSCP). Experience with container security and orchestration platforms like Kubernetes and Docker. Knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Familiarity with modern DevOps tools (e.g., Jenkins, GitLab, Ansible). Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

AI & Cloud Solutions Architect - Infrastructure AI COE Introduction The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role and Responsibilities Looking to make a significant impact? This is your chance to become a key technical architect in a dynamic team of talented professionals, designing and architecting innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Solutions Architect to join us. This technical leadership role focuses on designing scalable architectures, establishing technical standards, and providing architectural oversight for AI-based services. You will be instrumental in solving complex technical challenges, designing system architectures, and collaborating with development teams to implement robust AI solutions. You will establish architectural principles and patterns while ensuring technical excellence across projects. Your efforts will ensure scalable, maintainable, and secure AI solutions for our customers. As an essential part of the technical leadership team, you will shape the technical vision while providing architectural guidance to development teams. Design and establish architectural frameworks for AI and cloud-based solutions. Create and maintain technical roadmaps for AI implementations across the infrastructure. Provide architectural oversight and technical direction for complex AI projects. Define technical standards, patterns, and best practices for AI solution development. Evaluate and recommend new technologies and frameworks for AI implementations. Collaborate with development teams to ensure architectural compliance and technical excellence. Design scalable, secure, and maintainable AI solutions. Create detailed architecture documentation and technical specifications. Review and approve technical designs and implementation approaches. Identify and mitigate technical risks in AI solution architectures. Required Education Bachelor's Degree Required Technical and Professional Expertise Minimum 7-12 years of experience in software development with focus on technical architecture. Deep expertise in designing AI solutions using frameworks like TensorFlow, PyTorch, LLMs, Generative AI. Strong background in cloud architecture patterns and microservices design. Extensive experience with distributed systems architecture and design patterns. Expert knowledge of backend technologies, including server-side languages (Node.js, Python, Java) and databases. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of Cloud Technologies, Kubernetes, Kafka, Object Storage, and container technologies. Strong background in security architecture and compliance requirements. Experience in designing highly available and scalable cloud services. Expert knowledge of architectural patterns for AI model deployment and integration. Preferred Technical and Professional Experience Experience with emerging AI technologies and architectural patterns. Knowledge of enterprise architecture frameworks. Background in designing solutions for hybrid cloud environments. Experience with performance optimization and scalability design. Strong technical documentation and diagramming skills. Expertise in API design and management. Background in designing event-driven architectures. Experience with infrastructure as code and automation. Knowledge of AI governance and responsible AI principles. Track record of successful large-scale AI solution implementations.

Join Us in Revolutionizing the Data Storage Industry We're leading an exciting transformation in the data storage industry. By joining us, you will have the opportunity to make a significant impact, grow alongside a brilliant team, and be at the forefront of cutting-edge technology. If you re passionate about reshaping the future of tech, this is your chance to leave your mark. The Challenge: As a DevOps Engineer, you will be responsible for managing, automating, and optimizing our VMware, cloud, and on-prem Kubernetes infrastructure. Your role will be critical in ensuring the high availability, performance, and scalability of our services. You will work closely with cross-functional teams to architect solutions that improve our engineering operations and align with business needs. Key Responsibilities: Infrastructure Design & Management: Design, deploy, and maintain scalable VMware, Cloud (AWS, GCP, Azure, IBM), and Kubernetes environments. Custom Solutions Development: Develop and implement tailored OpenStack/VMware/Kubernetes solutions based on organizational needs. Automation & CI/CD: Build automation tools and frameworks (CI/CD pipelines) to streamline infrastructure operations and manage workloads (VMs/Pods) lifecycles. Observability & Best Practices: Implement observability best practices for OpenStack/VMware/Kubernetes environments, ensuring reliability and performance. Continuous Improvement: Provide expertise in DevOps methodologies to support continuous improvement and optimize infrastructure efficiency. Troubleshooting & Support: Assist with deployment, configuration, troubleshooting, and provide infrastructure support for AWS/Azure environments. Documentation & Knowledge Sharing: Create and maintain documentation for OpenStack/VMware/Kubernetes architecture and stay current with emerging technologies and industry best practices. On-Call Support: Participate in the follow-the-sun on-call rotation for infrastructure support. What You ll Need to Bring: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience managing and automating large-scale VMware, OpenStack, or Kubernetes environments. Programming Skills: Proficiency in Python, Java, or Go for scripting and automation. DevOps Knowledge: Strong understanding of DevOps principles with hands-on experience using tools like Ansible, Terraform, or Puppet. Observability Expertise: Experience implementing observability solutions with tools like Prometheus, Grafana, Logstash, Elastic, Fluent-bit, or Fluentd. Linux & Networking: Familiarity with Linux, TCP/IP, DNS, DHCP, and related networking concepts. OpenStack/Vmware/Kubernetes: Proven experience working with OpenStack (e.g., OpenStack Yoga), VMware, or Kubernetes (particularly enterprise Kubernetes clusters on bare metal). Virtualization & Containerization: Expertise in virtualization technologies (KVM, VMware, KubeVirt) and container technologies (Docker, Kubernetes). Cloud Experience: Experience with infrastructure support and automation for AWS, Azure, or GCP. Problem-Solving Skills: Excellent troubleshooting abilities with great attention to detail. Communication & Collaboration: Strong interpersonal skills and the ability to collaborate across teams. Preferred Qualifications: Experience with PureStorage products such as FlashArray, FlashBlade, or Portworx. Certifications in Kubernetes (CKA, CKAD), VMware (VCP), or OpenStack (COA). Experience running production VMs in KubeVirt. Familiarity with agile environments and project management tools. What You Can Expect from Us: Pure Innovation: We celebrate critical thinkers, challenges, and trailblazers who strive to innovate. Pure Growth: We support your growth and provide the space for you to contribute meaningfully. We're proud to be named in Fortune's Best Workplaces and certified as a Great Place to Work. Pure Team: We focus on collaboration and teamwork, setting aside ego for the greater good. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Your Impact We are seeking a passionate Data Engineer with expertise in Python development who is excited about cloud-based data engineering using AWS services. You will be an integral part of a dynamic, multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers, and other stakeholders. As a key member of a global team working on our generative AI initiative, you will be based in one of our European offices. McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use, and your role will be crucial in driving the development of data solutions to support generative AI applications. You will work with a team of data engineers to develop robust data ingestion pipelines and enhance data processing capabilities that integrate data into systems used by AI applications. Your responsibilities will include writing Python code, creating tests, developing and maintaining GitHub Action CICD pipelines, and managing AWS-based infrastructure and Docker containers. Your Growth As a member of the global team working on our generative AI initiative, you will play a key role in shaping and accelerating the delivery of McKinsey's target state data platform, which will enable AI use-cases. You will be part of our cloud-first approach, transforming data platforms and analytical applications across the firm. Working closely with multidisciplinary teams, you will contribute to building cutting-edge data solutions in a fast-paced, innovative environment. McKinsey s Tech Ecosystem function is responsible for developing all technology solutions for the firm s internal needs, and you ll have the opportunity to shape how these solutions evolve. Your Qualifications and Skills 3+ years of professional experience as a Data Engineer, with a focus on cloud-based data engineering using AWS services Expertise in Python development and a strong understanding of clean code, modularity, error handling, and test automation Extensive experience with relational databases and data pipeline performance Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions) Strong execution focus, with the ability to work independently in complex, fast-paced environments and deliver results Demonstrable experience in solving data pipeline performance issues and diagnostics Interest in generative AI and machine learning topics Experience with Kedro framework is a plus Opinionated and confident in sharing ideas, willing to speak up at all levels Familiarity with Agile principles and product development methodologies Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

At FalconX, we re a team of operators, investors, and builders revolutionizing institutional access to the cryptocurrency markets. Positioned at the intersection of traditional finance and cutting-edge technology, FalconX addresses the unique challenges of the digital asset market, providing comprehensive solutions for all digital asset strategies. By acting as the connective tissue, we enable clients to navigate the ever-evolving crypto landscape with ease and precision. Job Title: Senior Cloud Engineer (Security Implementation) We re on the lookout for a highly skilled Senior Cloud Engineer to join our team. This role will focus on implementing and maintaining strong security measures for our cloud infrastructure, with a strong emphasis on hands-on security implementation and cloud security best practices. You ll play a crucial role in ensuring the integrity and safety of our cloud-based systems, leveraging cutting-edge technologies and best practices in cloud security. What You'll Do: Cloud Infrastructure Security Implement and maintain robust security measures for our cloud-based systems, with a primary focus on AWS technologies. Conduct regular vulnerability assessments and patching of EC2 instances using Ansible and other AWS-native tools. Develop and maintain Infrastructure as Code (IaC) using Terraform for IAM, Cloudflare, and other AWS components to automate and enhance security practices. Automation and Scripting Design, develop, and maintain automation scripts and workflows to streamline security operations and incident response. Create and update Ansible playbooks to ensure consistent and secure configurations across all cloud resources. Compliance and Best Practices Ensure our cloud infrastructure aligns with industry security standards and compliance requirements. Stay ahead of the curve on emerging cloud security threats and proactively implement measures to mitigate risks. Collaboration and Documentation Collaborate closely with DevOps and development teams to integrate security practices into the CI/CD pipeline. Maintain clear, comprehensive documentation on security processes, configurations, and incident response procedures. What You Need to Bring: Qualifications Bachelor s degree in Computer Science, Information Security, or a related field. 5+ years of experience in cloud engineering, with a focus on AWS technologies. Hands-on expertise with Terraform, Ansible, and key AWS services like EC2, IAM, Cloudflare, Kubernetes (K8s), etc. Proficiency in scripting languages such as Python or Bash. In-depth Knowledge Strong understanding of cloud security best practices and common vulnerabilities within cloud environments. Experience using cloud security tools to enhance security posture. Skills Excellent problem-solving skills with a sharp attention to detail, especially in high-pressure situations. Strong ability to implement scalable and reliable cloud infrastructure solutions with a focus on security. Preferred Qualifications: Certifications AWS Certified Security - Specialty or other cloud security certifications. Experience with multi-cloud environments (AWS, Azure, GCP). Familiarity with container security and Kubernetes. Knowledge of compliance frameworks such as SOC 2, ISO 27001, or PCI DSS. At FalconX, we are at the forefront of institutional crypto trading, constantly innovating to stay ahead of market trends and technological advancements. By joining us, you'll be an integral part of shaping the future of crypto markets and cloud security. You ll work with cutting-edge tools and technologies, tackling complex challenges and making a significant impact in an evolving industry. If you're passionate about cloud security and want to be part of a fast-paced, forward-thinking team, we d love to hear from you! Notice at Collection and Privacy Policy Applicants located in California or applying to a role based in California should review our Notice at Collection and Privacy Policy [here]. Qualification : Bachelor's degree in Computer Science, Information Security, or related field.

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

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.

Senior Performance Engineer Are you ready to work on world changing technologies? Today, organizations need to move with increased agility and insight to grow and thrive. Boomi is one of the hottest tech companies in the SaaS/Cloud industry, named a Leader for the eighth year in a row in the Gartner Enterprise iPaaS Magic Quadrant and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter. Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/ or visit Boomi Careers. Join us as a Performance Engineer on our Performance, Scalability and Resiliency(PSR) Engineering team in Bangalore/Hyderabad, India to do the best work of your career and make a profound social impact. What you ll achieve As a Performance Engineer, you will be responsible for validating and recommending performance optimizations in Boomi s computing infrastructure and software. You will work with our Product Development and Site Reliability Engineering teams on Performance monitoring, tuning and tooling. You will: Analyze Software Architecture (monolith and micro-service) and identify potential areas of performance, scalability and resiliency improvements Identify KPIs, perform trending and analysis, identify patterns and engineer remedial solutions for a high performant, fault tolerant and resilient platform and application stack. Design, automate and perform scalability and resiliency tests using various tools like JMeter, Chaos Monkey or similar Use observability stack to improve diagnosability and trending around Performance bottlenecks Identify performance tuning opportunities and recommend remedial solutions Take the first step towards your dream career Every Boomer brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Expert in performance engineering fundamentals - arrival rate, workload models, responsiveness, computing resource utilization, time complexity, scalability, resiliency etc.. Expert in monitoring the performance using native Linux OS, Application Performance Management(APM) and Infrastructure monitoring tools Experience in analyzing crash dump, thread dump, SQL slow query log and identify performance bottlenecks Expert in recommending optimal resource configurations in Cloud, Virtual Machine, Container and Container Orchestration technologies Flexibility to work in a remote and geographically distributed team environment Desirable Requirements Experience in writing data extraction and custom monitoring tools using any programming language - Java, Python, R , Bash or similar Experience in capacity planning and modelling using AI/ML, queueing models or similar approaches Performance tuning experience in Java or similar application code