21 Aws Cloudwatch Jobs

Exp: 3 to 4 yrs Location: Bangalore (Base Location) willing to travel Dubai (Client Location) Availability: Immediately No. Of Positions: 2 JD :- - Candidate should have good understanding of cloud - Any SIEM tool experience is preferred (They have Securonix SIEM PS support available so candidate is not expected to work on Securonix side configuration but should understand how the integration works with any SIEM solution) - candidate should have good understanding of cloud integration methods available (Cloud-native connectors, API-based ingestion, agent-based) - Should have an understanding of the cloud models ( IaaS, PaaS, SaaS security responsibilities in each) - Should have an understanding of the Logging Services : AWS CloudWatch and Azure Monitor - Scripting & Automation knowledge is preferred: Python, PowerShell, Bash for automation and log parsing, Lambda functions, Azure Logic Apps, Amazon EventBridge.

Role Overview We are looking for experienced DevOps Engineers (8+ years) with a strong background in cloud infrastructure, automation, and CI/CD processes. The ideal candidate will have hands-on experience in building, deploying, and maintaining cloud solutions using Infrastructure-as-Code (IaC) best practices. The role requires expertise in containerization, cloud security, networking, and monitoring tools to optimize and scale enterprise-level applications. Key Responsibilities Design, implement, and manage cloud infrastructure solutions on AWS, Azure, or GCP. Develop and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or similar tools. Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI/CD, BitBucket Pipelines, or AWS CodePipeline. Manage and orchestrate containers using Kubernetes, OpenShift, AWS EKS, AWS ECS, and Docker. Work on cloud migrations, helping organizations transition from on-premises data centers to cloud-based infrastructure. Ensure system security and compliance with industry standards such as SOC 2, PCI, HIPAA, GDPR, and HITRUST. Set up and optimize monitoring, logging, and alerting using tools like Datadog, Dynatrace, AWS CloudWatch, Prometheus, ELK, or Splunk. Automate deployment, configuration, and management of cloud-native applications using Ansible, Chef, Puppet, or similar configuration management tools. Troubleshoot complex networking, Linux/Windows server issues, and cloud-related performance bottlenecks. Collaborate with development, security, and operations teams to streamline the DevSecOps process. Must-Have Skills 3+ years of experience in DevOps, cloud infrastructure, or platform engineering. Expertise in at least one major cloud provider: AWS, Azure, or GCP. Strong experience with Kubernetes, ECS, OpenShift, and container orchestration technologies. Hands-on experience in Infrastructure-as-Code (IaC) using Terraform, AWS CloudFormation, or similar tools. Proficiency in scripting/programming languages like Python, Bash, or PowerShell for automation. Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or BitBucket Pipelines. Experience with Linux operating systems (RHEL, SUSE, Ubuntu, Amazon Linux) and Windows Server administration. Expertise in networking (VPCs, Subnets, Load Balancing, Security Groups, Firewalls). Experience in log management and monitoring tools like Datadog, CloudWatch, Prometheus, ELK, Dynatrace. Strong communication skills to work with cross-functional teams and external customers. Knowledge of Cloud Security best practices, including IAM, WAF, GuardDuty, CVE scanning, vulnerability management. Good-to-Have Skills Knowledge of cloud-native security solutions (AWS Security Hub, Azure Security Center, Google Security Command Center). Experience in compliance frameworks (SOC 2, PCI, HIPAA, GDPR, HITRUST). Exposure to Windows Server administration alongside Linux environments. Familiarity with centralized logging solutions (Splunk, Fluentd, AWS OpenSearch). GitOps experience with tools like ArgoCD or Flux. Background in penetration testing, intrusion detection, and vulnerability scanning. Experience in cost optimization strategies for cloud infrastructure. Passion for mentoring teams and sharing DevOps best practices.

Role Overview We are looking for experienced DevOps Engineers (8+ years) with a strong background in cloud infrastructure, automation, and CI/CD processes. The ideal candidate will have hands-on experience in building, deploying, and maintaining cloud solutions using Infrastructure-as-Code (IaC) best practices. The role requires expertise in containerization, cloud security, networking, and monitoring tools to optimize and scale enterprise-level applications. Key Responsibilities Design, implement, and manage cloud infrastructure solutions on AWS, Azure, or GCP. Develop and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or similar tools. Implement and manage CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI/CD, BitBucket Pipelines, or AWS CodePipeline. Manage and orchestrate containers using Kubernetes, OpenShift, AWS EKS, AWS ECS, and Docker. Work on cloud migrations, helping organizations transition from on-premises data centers to cloud-based infrastructure. Ensure system security and compliance with industry standards such as SOC 2, PCI, HIPAA, GDPR, and HITRUST. Set up and optimize monitoring, logging, and alerting using tools like Datadog, Dynatrace, AWS CloudWatch, Prometheus, ELK, or Splunk. Automate deployment, configuration, and management of cloud-native applications using Ansible, Chef, Puppet, or similar configuration management tools. Troubleshoot complex networking, Linux/Windows server issues, and cloud-related performance bottlenecks. Collaborate with development, security, and operations teams to streamline the DevSecOps process. Must-Have Skills 3+ years of experience in DevOps, cloud infrastructure, or platform engineering. Expertise in at least one major cloud provider: AWS, Azure, or GCP. Strong experience with Kubernetes, ECS, OpenShift, and container orchestration technologies. Hands-on experience in Infrastructure-as-Code (IaC) using Terraform, AWS CloudFormation, or similar tools. Proficiency in scripting/programming languages like Python, Bash, or PowerShell for automation. Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or BitBucket Pipelines. Experience with Linux operating systems (RHEL, SUSE, Ubuntu, Amazon Linux) and Windows Server administration. Expertise in networking (VPCs, Subnets, Load Balancing, Security Groups, Firewalls). Experience in log management and monitoring tools like Datadog, CloudWatch, Prometheus, ELK, Dynatrace. Strong communication skills to work with cross-functional teams and external customers. Knowledge of Cloud Security best practices, including IAM, WAF, GuardDuty, CVE scanning, vulnerability management. Good-to-Have Skills Knowledge of cloud-native security solutions (AWS Security Hub, Azure Security Center, Google Security Command Center). Experience in compliance frameworks (SOC 2, PCI, HIPAA, GDPR, HITRUST). Exposure to Windows Server administration alongside Linux environments. Familiarity with centralized logging solutions (Splunk, Fluentd, AWS OpenSearch). GitOps experience with tools like ArgoCD or Flux. Background in penetration testing, intrusion detection, and vulnerability scanning. Experience in cost optimization strategies for cloud infrastructure. Passion for mentoring teams and sharing DevOps best practices.

We are seeking a Senior Cloud Automation Engineer with strong experience in Python, AWS, Terraform, and automation frameworks. The ideal candidate will be responsible for building and integrating tools, utilities, and test automation processes across cloud and enterprise systems, including Salesforce, Dell Boomi, and Snowflake. Key Responsibilities: Design, develop, and maintain Python-based tools and services for automation and integration. Develop and manage infrastructure using Terraform and deploy resources on AWS. Automate internal backend processes including EDI document generation and Salesforce data cleanup. Integrate test automation frameworks with AWS services like Lambda, API Gateway, CloudWatch, and more. Implement and maintain automated test cases using Cucumber, Gherkin, and Postman. Collaborate with QA and DevOps teams to improve testing coverage and CI/CD automation. Work with tools such as Jira, X-Ray, and GitHub Actions for test tracking and version control. Develop utilities for integrations between Salesforce, Boomi, AWS, and Snowflake. Must-Have Qualifications: 5 to 7 years of hands-on experience in software development or test automation. Strong programming skills in Python. Solid experience working with AWS services (Lambda, API Gateway, CloudWatch, etc.). Proficiency with Terraform for managing infrastructure as code. Experience with REST API development and integration. Experience with Dell Boomi, Salesforce and SOQL. Knowledge of SQL (preferably with platforms like Snowflake). Knowledge of EDI formats and automation. Nice-to-Have Skills: Experience in BDD tools like Cucumber, Gherkin. Test management/reporting with X-Ray, integration with Jira. Exposure to version control and CI/CD workflows (e.g., GitHub, GitHub Actions). Tools & Technologies: Languages: Python, SQL Cloud: AWS (Lambda, API Gateway, CloudWatch, etc.) IaC: Terraform Automation/Testing: Cucumber, Gherkin, Postman Data & Integration: Snowflake, Salesforce, Dell Boomi DevOps: Git, GitHub Actions Tracking: Jira, X-Ray. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

At Gintaa, were redefining how India orders food. With our focus on affordability, exclusive restaurant partnerships, and hyperlocal logistics, we aim to scale across India's Tier 1 and Tier 2 cities. Were backed by a mission-driven team and expanding rapidly now’s the time to join the core tech leadership and build something impactful from the ground up. Job Summary We are looking for an experienced and motivated DevOps Engineer with 5–7 years of hands-on experience designing, implementing, and managing cloud infrastructure—particularly on Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have deep expertise in infrastructure as code (IaC), CI/CD pipelines, container orchestration, and cloud-native technologies. This role requires strong analytical skills, attention to detail, and a passion for optimizing cloud infrastructure performance and cost across multi-cloud environments. Key Responsibilities Multi-Cloud Infrastructure: Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services (Compute Engine, GKE, Cloud Functions, Pub/Sub, BigQuery, Cloud Storage) and AWS services (EC2, ECS/EKS, Lambda, S3, RDS, CloudFront). CI/CD & GitOps: Build and manage CI/CD pipelines using GitHub/GitLab Actions, artifact repositories, and enforce GitOps practices across both GCP and AWS environments. Containerization & Serverless: Leverage Docker, Kubernetes (GKE/EKS), and serverless architectures (Cloud Functions, AWS Lambda) to support microservices and modern application deployments. Infrastructure as Code: Develop and manage IaC using Terraform (or CloudFormation for AWS) to automate provisioning and drift-detection across clouds. Observability & Monitoring: Implement observability tools like Prometheus, Grafana, Google Cloud Monitoring, and AWS CloudWatch for real-time system insights. Security & Compliance: Ensure best practices in cloud security, including IAM policies (GCP IAM + AWS IAM), encryption standards (KMS), network security (VPCs, Security Groups, Firewalls), and compliance frameworks. Service Mesh: Integrate and manage service mesh architectures such as Istio or Linkerd for secure and observable microservices communication. Troubleshooting & DR: Troubleshoot and resolve infrastructure issues, ensure high availability, disaster recovery (GCP Backup + AWS Backup/AWS DR strategies), and performance optimization. Cost Management: Drive initiatives for cloud cost management; use tools like GCP Cost Management and AWS Cost Explorer to suggest optimization strategies. Documentation & Knowledge Transfer: Document technical architectures, processes, and procedures; ensure smooth knowledge transfer and operational readiness. Cross-Functional Collaboration: Collaborate with Development, QA, Security, and Architecture teams to streamline deployment workflows. Required Skills & Qualifications 5–7 years of DevOps/Cloud Engineering experience, with at least 3 years on GCP and 3 years on AWS. Proficiency in Terraform (plus familiarity with CloudFormation), Docker, Kubernetes (GKE/EKS), and other DevOps toolchains. Strong experience with CI/CD tools (GitHub/GitLab Actions) and artifact repositories. Deep understanding of cloud networking, VPCs, load balancing, security groups, firewalls, and VPNs in both GCP and AWS. Expertise in monitoring/logging frameworks such as Prometheus, Grafana, Stackdriver (Cloud Monitoring), and AWS CloudWatch/CloudTrail. Strong scripting skills in Python, Bash, or Go for automation tasks. Knowledge of data backup, high-availability systems, and disaster recovery strategies across multi-cloud. Familiarity with service mesh technologies and microservices-based architecture. Excellent analytical, troubleshooting, and documentation skills. Effective communication and ability to work in a fast-paced, collaborative environment. Preferred Qualifications (Good to Have) Google Professional Cloud Architect Certification and/or AWS Certified Solutions Architect – Professional. Experience with multi-cloud or hybrid cloud setups, including VPN/Direct Connect and Interconnect configurations. Exposure to agile software development, DevSecOps, and compliance-driven environments (e.g., BFSI, Healthcare). Understanding of cost modeling and cloud billing analysis tools. Why Join Gintaa? Be a part of a purpose-driven startup revolutionizing food and local commerce in India. Build impactful, large-scale mobile applications from scratch. Work with a visionary leadership team and dynamic, entrepreneurial culture. Competitive salary and leadership visibility.

Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with AWS services (e.g., Cloudwatch, S3, RDS, Neptune, Lambda, ECS) to deploy, manage, and optimize our cloud infrastructure. Software Architecture:? Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management:? Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries.? Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like ELK stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch. Production Support:? Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes.? Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 5+ years of experience in backend software development. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI. Hands-on experience with AWS cloud services, including ECS. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically ELK stack and AWS CloudWatch. Locations : Mumbai, Delhi NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings: 2:30PM-11:30PM(Monday-Friday)

Job Description: Knowledge of IaaS Compute Networking Storage Basic Understanding Security or Containerization Assist in management of AWS services including EC2 S3 EFS Lambda etc Proactively monitor cloud infrastructure performance alertswarnings and troubleshoot and mitigate incidents Incident Investigation and Reservation Provide Operational inputs to L3 SMEs for streamlining operations Collaborate with SMEs to implement security measures and compliance protocols Document Incident resolutions processes configurations changes in the cloud environment Mandatory Leaf Skills For Hiring AWS Infrastructure Services Stack Upskilling Tracks Track Scripting PowerShell AWS CloudWatch Track Terraform Terraform Basics Azure CloudWatch Track Windows Windows Track Linux Linux Useful Certifications Optional AWS Cloud Practitioner Foundational

Role & responsibilities We required 4+ years exp resource in performance tester. Conducting capacity plans Preparing Impact assessment for new project requirements workload modeling, gatling scripting and scenario creation stub creation and deployment CICD using harness and Jenkins Performance testing (Load & Soak testing) Cloud services: (Amazon Elastic cache, RDS, ECS, EKS, CloudFormation) Performance monitoring tools: AppDynamics, Grafana, Splunk and AWS CloudWatch Analysis and Reporting Conduct reviews and grant approval for impact assessments and test summary reports from other performance test engineers Version control: Git, Github Confluence, Rally and Control center Interested candidate can share me there updated resume in recruiter.wtr26@walkingtree.in

Job Title: Full Stack Engineer (Rust | Terraform/OpenTofu | Serverless) Experience Level: 10 Years Timings: 2pm to 11pm Position Overview We are seeking a highly capable and results-driven Full Stack Engineer with 34 years of professional experience, primarily focused on backend development using Rust . The ideal candidate will bring strong hands-on expertise in Infrastructure as Code (IaC) tools such as Terraform or OpenTofu , and practical experience designing and deploying serverless architectures in a production environment. This role demands a well-rounded engineer who is comfortable working across the stack, committed to engineering excellence, and capable of delivering scalable and maintainable solutions in a fast-paced, agile setting. Key Responsibilities Architect, develop, and maintain robust backend services and APIs using Rust . Design and manage cloud infrastructure using Terraform/OpenTofu , adhering to best practices in security and scalability. Build and integrate client-side components using modern front-end frameworks (e.g., React, Vue). Implement serverless solutions using platforms such as AWS Lambda , API Gateway , and associated cloud services. Collaborate with cross-functional teams including Product, DevOps, and QA to ensure end-to-end delivery. Write clean, modular, and well-tested code, and participate in peer code reviews. Contribute to system design discussions, technical planning, and architectural decisions. Required Qualifications 34 years of experience as a full stack engineer, with a primary focus on Rust for backend development. Proficiency in Terraform or OpenTofu , with proven experience deploying infrastructure in cloud environments (preferably AWS). Practical experience working with serverless technologies and event-driven architecture. Familiarity with front-end technologies such as React , TypeScript , or equivalent. Solid understanding of microservices, RESTful APIs, CI/CD pipelines, and Git-based workflows. Strong problem-solving skills and a proactive attitude toward learning and technical ownership. Preferred Qualifications Experience with Rust-based web frameworks such as Actix , Rocket , or similar. Exposure to WebAssembly (WASM) or systems programming concepts. Knowledge of observability tools such as Prometheus , Grafana , or AWS CloudWatch . Contributions to open-source projects or active involvement in developer communities.

For a leading MNC in Fintech , we are seeking a seasoned DevOps Engineer to own parts of our cloud infrastructure and DevOps operations. In this role, you will lead by example, and design, deploy, and optimize our AWS-based infrastructure, ensuring seamless orchestration of workloads across Kubernetes and serverless environments like AWS Lambda. You will play a pivotal role in automating processes, enhancing system reliability, and driving the adoption of DevOps best practices. Collaborating closely with our Engineering, Product, and Data teams, youll contribute to scaling our infrastructure and supporting our rapid growth. This position offers a unique opportunity to refine your technical expertise in a dynamic and fast-paced environment. Location : Remote (Pan India Candidate can apply) Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Responsibilities Own and drive the architecture, design, and scaling of various parts of our cloud infrastructure on AWS, ensuring security, resilience, and cost efficiency Optimize Kubernetes clusters, including advanced scheduling, networking, and security enhancements to support mission-critical workloads Architect and improve CI/CD pipelines, incorporating automation, canary deployments, and rollback strategies for seamless releases Design and implement monitoring, logging, and observability solutions to ensure proactive issue detection and system performance tuning at scale Establish and enforce security best practices, including IAM governance, secret management, and compliance frameworks Be the go-to expert for multiple infrastructure components, providing technical leadership and driving improvements across interconnected systems Lead large-scale projects spanning multiple quarters, defining roadmaps, tracking progress, and ensuring timely execution with minimal supervision Drive collaboration with cross-functional teams, including ML, Data, and Product, to align infrastructure solutions with business and engineering goals Mentor and support junior and mid-level engineers, fostering a culture of continuous learning, technical excellence, and best practices Set and refine DevOps standards, driving automation, scalability, and system reliability across the organization Qualifications A minimum of 7 years of experience in DevOps, SRE, or a similar role, with expertise in designing and managing large-scale cloud infrastructure Experience working on software product development, with proficiency in a mainstream stack. Deep hands-on experience with AWS services such as EC2, S3, RDS, Lambda, ECS, EKS, and VPC networking Advanced proficiency in Terraform for infrastructure as code, including best practices for scaling and managing cloud resources Strong expertise in Kubernetes, including cluster provisioning, networking, security hardening, and performance optimization Proficiency in scripting and automation using Python, Bash, or Go, with experience integrating APIs and optimizing workflows Experience designing and maintaining CI/CD pipelines using tools like CircleCI, Jenkins, GitLab CI/CD, or ArgoCD Strong knowledge of monitoring, logging, and observability tools such as DataDog, Prometheus, Grafana, and AWS CloudWatch Deep understanding of cloud security, IAM governance, role-based access control (RBAC), and compliance frameworks like SOC2 or ISO 27001 Proven ability to lead and mentor junior engineers while fostering a collaborative and high-performance team culture Excellent communication skills, with the ability to work effectively across cultures, functions, and time zones in a globally distributed team

We are seeking an experienced Backend Architect to lead the design and development of our scalable, high-performance backend systems. The ideal candidate has deep expertise in Java, Microservices architecture, GraphQL, and SQL queries, with experience in SAP integration, Swagger API documentation, and monitoring tools like Datadog and CloudWatch. This role involves driving technical decisions, mentoring teams, and ensuring alignment with business goals. Key Responsibilities Architect and Design: Design scalable and resilient backend architectures using Java and Microservices. Lead the adoption of best practices in coding, performance optimization, and security. Implementation: Develop high-quality backend services and APIs using GraphQL and REST. Optimize and maintain complex SQL queries and database schemas for performance and reliability. Define and maintain comprehensive Swagger API documentation for all backend services. Collaboration: Work closely with SAP teams to integrate backend systems with ERP workflows and other enterprise tools. Collaborate with product teams, frontend developers, and other stakeholders to deliver end-to-end solutions. Mentor and guide a team of backend developers, fostering technical growth. Monitoring and Troubleshooting: Set up and manage system monitoring tools like Datadog and AWS CloudWatch for real-time performance tracking and issue detection. Monitor system performance and resolve any issues or bottlenecks proactively. Technology Leadership: Research and evaluate new technologies to improve scalability, performance, and development efficiency. Define technical standards and best practices across the backend ecosystem. Required Skills and Qualifications Core Expertise: Experience in backend development with a strong focus on Java. Proven experience in designing and implementing Microservices architectures. Expertise in SQL databases (e.g., MySQL, PostgreSQL) with the ability to write complex queries and optimize them for performance. Proficiency in GraphQL API design and implementation. Monitoring and Integration: Experience with monitoring tools such as Datadog and AWS CloudWatch. Hands-on experience with SAP integration into enterprise systems. Technical Knowledge: Strong understanding of RESTful APIs, event-driven architecture, and messaging systems (e.g., Kafka, RabbitMQ). Experience with Swagger for API documentation. Knowledge of cloud platforms (like AWS) and container orchestration tools like Docker and Kubernetes. Solid grasp of data modeling and database optimization techniques. Soft Skills: Excellent problem-solving and analytical skills. Strong communication skills to convey complex technical concepts effectively. Leadership and mentoring abilities to guide a team of developers.

Role Description We are seeking a highly skilled DevOps Engineer with expertise in AWS cloud infrastructure, database optimization, ETL/OLAP workloads, and large-scale application management . The ideal candidate should have experience in architecting, deploying, and optimizing web applications while ensuring high availability, security, and scalability . This role requires working closely with stakeholders, project heads, and development teams to align infrastructure with business goals. Key Responsibilities Design, build, and manage scalable cloud infrastructure on AWS for large-scale applications. Deploy and optimize Magento applications , ensuring high performance and security . Implement load balancing strategies to distribute traffic efficiently and ensure application scalability. Manage AWS compute services such as EC2, Lambda, ECS (Elastic Container Service), EKS (Elastic Kubernetes Service), and Fargate for containerized workloads. Handle AWS database services , including RDS (MySQL, PostgreSQL, Oracle HeatWave), DynamoDB (NoSQL), Redshift (OLAP), and Amazon Aurora for high-performance data handling. Optimize ETL (Extract, Transform, Load) pipelines and OLAP workloads using AWS Glue, AWS Data Pipeline, AWS Step Functions, and AWS Athena . Implement caching mechanisms using Redis, Memcached, and AWS ElastiCache to enhance application performance. Manage CDN (Content Delivery Network) solutions like AWS CloudFront for efficient content delivery. Monitor application and infrastructure performance using New Relic, AWS CloudWatch, Prometheus, and Grafana . Work with AWS networking services , including VPC, Route 53, API Gateway, and AWS WAF , to secure and optimize infrastructure. Automate deployments, scaling, and infrastructure management using CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation . Implement security best practices, including IAM roles, security groups, firewalls, and encryption . Troubleshoot and resolve system failures, performance bottlenecks, and incidents proactively .

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Skills (competencies) Verbal Communication

Position Summary: We are looking for a hands-on QA Engineer / Senior QA Engineer to join our team and contribute to the OA/MCPM platform. This role involves analyzing performance requirements, designing test scenarios, scripting, and executing test scripts. This is an exciting opportunity for a technically strong candidate with a numerate degree or equivalent to work on dynamic buy-side and sell-side systems undergoing rapid and exciting changes due to the current regulatory environment. The ideal candidate will have 4-8 years of experience and will be responsible for ensuring the performance, scalability, and reliability of our software applications. You will work closely with development teams to identify performance bottlenecks and provide actionable insights to improve system performance. Key Responsibilities: Create detailed performance test plans, including test scenarios, metrics, and expected results. Script performance tests for web-based applications and REST APIs. Design and implement load tests to simulate real-world user traffic using different load patterns. Set up test environments and manage test data. Execute performance tests and monitor key metrics like response time, throughput, CPU usage, and memory utilization. Conduct stress testing, endurance testing, and spike testing to evaluate system stability under extreme load conditions. Analyze test results and identify performance issues. Collaborate with development teams to optimize application performance. Monitor and report on system performance metrics. Utilize performance testing tools and frameworks. Document and communicate test findings and recommendations. Work in tight deadlines within a mature time-boxed testing environment. Demonstrate consistent and good judgment in assessing the severity of issues. Understand multi-tiered technology architecture. Test web services-based GUI applications and perform API testing. Must-Have Skills: Proven experience as a Performance Tester or similar role. Strong knowledge of performance testing tools (e.g., JMeter, LoadRunner). Familiarity with monitoring tools (e.g., AWS CloudWatch, Foglight, Splunk, Datadog). Expertise with Apache JMeter (4+ years). Additional tools like LoadRunner are a plus. Experience in scripting performance tests for web-based applications and REST APIs. Strong analytical and problem-solving skills. Excellent communication skills, both written and verbal. Desirable Skills: ISEB certification or equivalent. Understanding of performance test principles. Knowledge of testing tools like JIRA, qTest, and others. Experience of 4+ years as performance testing (4-8 years). Ability to support critical releases functionally if required. Experience in system/regression testing, ideally in a financial environment with a blend of manual and performance testing. Good understanding of relational databases and SQL. Experience and understanding of the testing process, project test lifecycles, and techniques. Commercial awareness and experience with regulations in buy-side and sell-side dealings is a plus. Demonstrated ability to manage self-workload effectively. Complete ownership of the module/component from delivery and quality perspective. Collaboration and Communication: Work closely with developers, product managers, and other stakeholders to understand performance requirements. Effectively communicate performance test results and recommendations to both technical and non-technical audiences.

We are looking for 10 Software Engineer IIs (Data) to play a key role in delivering software products within a high-impact engineering team. You will collaborate with Product Managers, User Experience Designers, Architects, and other team members to modernize and build products aligned with the product teams vision and strategy. These products will leverage multi-cloud platforms, human-centered design, Agile, and DevOps principles to deliver industry-leading solutions at high velocity and exceptional quality. Youll be working alongside talented software engineering professionals, leading by example, mentoring others, and thriving in a fast-paced environment by embracing inclusive behaviors, demonstrating attention to detail, and navigating ambiguity. Team Overview The Data and AI enablement teams focus on accelerating end-to-end data and AI adoption across advanced analytics, product teams, and sales and operations functions. The broader team is responsible for data strategy, availability, and adoption via self-service tools, including AI model registry, activation of models for business, multichannel testing, and customer relationship measurement all in alignment with Responsible AI principles. The Sales Hub team supports seamless execution and distribution of sales transactions. It plays a pivotal role in delivering accurate data promptly, enabling better inventory management, financial planning, sales performance improvement, customer engagement, risk mitigation, and competitive advantage. Key Responsibilities Contribute to the delivery of complex solutions by breaking down big problems into smaller pieces Actively participate in team planning activities Ensure quality and integrity of the SDLC and identify opportunities to improve team practices through recommended tools and methods Triage complex issues independently Stay informed of the technology landscape and help plan delivery of broad business needs across multiple applications Set a consistent example of agile development practices and coach peers on cross-functional collaboration Mentor junior engineers and help new hires ramp up Contribute to and enhance internal libraries and tools Understand the business domain supported by your applications Proactively communicate status and issues to leadership Identify risks and challenges in your work and team deliverables Collaborate across teams to solve customer-centric problems creatively Show commitment to critical delivery deadlines Basic Qualifications 3+ years of relevant professional experience with a bachelors degree OR equivalent At least 1+ years in cloud engineering and architecture with AWS services (e.g., EC2, Lambda, S3, RDS, API Gateway, etc.) 2+ years of experience in microservices architecture using Java, Kafka, and NoSQL databases 2+ years of Java and Spring Boot development with a strong foundation in software engineering principles Experience building and deploying microservices Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS CodePipeline Ability to understand business problems and apply engineering design principles to solve for scalability, performance, and security Proven experience working directly with engineers, product managers, and stakeholders Strong communication and collaboration skills Preferred Qualifications Experience in omni-channel retail or sales environments Familiarity with Docker containerization and automated testing practices Passion for keeping up with new technologies and industry trends Proactive learning mindset and knowledge-sharing attitude Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or AWS CloudWatch Understanding of security best practices in cloud environments Technical Skills (Tools, Technologies, Frameworks, Platforms) Programming Languages & Frameworks: Spring Boot Java Cloud Platforms & Services (AWS-focused): AWS EC2 AWS Lambda AWS S3 AWS RDS AWS API Gateway AWS CodePipeline AWS CloudWatch Microservices Architecture: Microservices Design & Development Service-to-service communication API design and implementation Databases: NoSQL Databases Data Streaming / Messaging Systems: Kafka DevOps & CI/CD Tools: Jenkins GitLab CI CI/CD Pipelines (general understanding and implementation) Containerization & Virtualization: Docker Monitoring and Logging Tools: Prometheus Grafana ELK Stack (Elasticsearch, Logstash, Kibana) AWS CloudWatch (mentioned above under AWS) Applied Technical Skills (Practices, Design Principles, Methodologies, etc.) Software Engineering Principles: Modular and scalable architecture Object-oriented programming (OOP) Code quality, maintainability, and reusability best practices Agile Development Methodologies: Scrum/Kanban practices Agile ceremonies (Planning, Standups, Retrospectives) DevOps Practices: Continuous Integration / Continuous Deployment Infrastructure as Code mindset System Design and Architecture: Breaking down complex systems into smaller manageable components Designing solutions that scale and perform under load Cloud Engineering & Architecture Principles: Multi-cloud awareness Designing for resilience, fault-tolerance, and cost-efficiency AI/ML Enablement (Supporting Systems, not core model development): AI model registry integration Model activation pipelines Responsible AI principles (adoption, governance) Data Engineering & Analytics Support: Data availability and strategy design Self-service data tooling enablement Multichannel testing frameworks Customer relationship measurement systems Collaboration & Communication: Working with cross-functional teams (Product, UX, Architecture) Problem-solving with cross-team dependencies Proactive communication and status reporting Quality Engineering: Automated Testing practices Ensuring high-quality software delivery through unit testing, integration testing, and regression testing Security Best Practices (Cloud-focused): Secure deployment patterns Identity and access management in cloud setups

Non-Negotiable Requirement: - 3+years AWS with solid experience in Python Development. Candidate must possess high-level of proficiency in AWS & Python. Overall experience 6 to 10 years Must have worked on AWS environment for at least 3+ years. API Gateway Serverless Architecture Model & Serverless Application Model (SAM) using Lambda Service or Cloud Formation AWS Lambda EC2 & S3 RDS or DynamoDB SNS/SQS AWS Security Group & IAM DevOps (AWS CloudWatch, AWS code commit, code build, & code deploy) Must be hands-on to take up coding such as Django frameworks. Candidate must be hands-on with Programming Language: Python . Identify and document gaps in current architecture solution design. Design new architecture solution and define technology roadmap. Must have Conducted peer-reviews and lead reviews and provide feedback. Assists in technical analysis of potential solutions. Delivers solution adhering to standards and leveraging re-use of components. Assists technical and infrastructure groups in understanding the solution design and specifications. Provides guidance in the test strategy and execution of master test plan to the team. Must have any AWS Certification. Must Possess excellent communication skills.

Position: AWS DevOps Engineer Job Location: Chennai Job Mode: Work From Office Experience: 5-7 Years Job Description: Qualifications: Proficiency in CI/CD tools: Azure DevOps, GitLab, Jenkins etc. Experience with cloud platforms (AWS, Azure, GCP). Hands-on with scripting languages: Bash, Python, or PowerShell. Knowledge of source control systems (e.g., Git). Familiarity with container technologies: Docker and Kubernetes. Strong understanding of Linux/Unix and Windows systems. Deep knowledge of cloud platforms (AWS, Azure, GCP). Experience with automation and orchestration tools. Proficiency in cloud monitoring tools: AWS CloudWatch, Azure Monitor, etc. Familiarity with hybrid cloud and multi-cloud environments. Strong understanding of cloud cost optimization techniques. Security and compliance knowledge for cloud deployments. Expertise in monitoring and logging tools: New Relic, Prometheus, Grafana, ELK Stack. Experience with incident management and postmortem analysis. Strong knowledge of distributed systems, networking, and databases. Familiarity with Kubernetes, Docker, and cloud-native technologies. Hands-on experience with load balancing, caching, and failover strategies. Responsibilities: Design, implement, and manage CI/CD pipelines for application development and deployment. Develop automation scripts and tools to enhance infrastructure provisioning and management. Collaborate with developers and IT teams to optimize performance, security, and reliability. Monitor systems and troubleshoot issues across staging, testing, and production environments. Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible. Manage container orchestration platforms like Kubernetes or Docker Swarm. Maintain and monitor logging, monitoring, and alerting solutions such as New Relic, CloudWatch, Splunk etc. Design and implement cloud infrastructure solutions using AWS & Azure Manage and monitor cloud-based resources, including VMs, storage, databases, and networking. Optimize cloud resources for performance, scalability, and cost efficiency. Implement security measures such as IAM policies, firewalls, and data encryption. Automate cloud resource provisioning using IaC tools (e.g., Terraform, CloudFormation). Respond to incidents, troubleshoot issues, and ensure high availability of cloud environments. Perform cloud migrations and ensure a seamless transition for workloads. Design, build, and maintain scalable, reliable, and efficient systems in production. Develop and implement monitoring, alerting, and automation to improve system health and uptime. Collaborate with software engineers to embed reliability and performance best practices into the application lifecycle. Analyse incident data to drive root cause resolution and prevent recurring issues. Manage SLIs, SLOs, and SLAs to ensure performance goals are met. Automate manual operations tasks and processes to improve efficiency. Participate in on-call rotations(BAU), off hours support(when required) and production emergencies to address production incidents and ensure quick recovery.

Responsibilities: Design and Development: Develop robust, scalable, and maintainable backend services using Python frameworks like Django, Flask, and FastAPI. Cloud Infrastructure: Work with AWS services (e.g., Cloudwatch, S3, RDS, Neptune, Lambda, ECS) to deploy, manage, and optimize our cloud infrastructure. Software Architecture:? Participate in defining and implementing software architecture best practices, including design patterns, coding standards, and testing methodologies. Database Management:? Proficiently work with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune) to design and optimize data models and queries.? Experience with ORM tools. Automation: Design, develop, and maintain automation scripts (primarily in Python) for various tasks, including: Data updates and processing. Scheduling cron jobs. Integrating with communication platforms like Slack and Microsoft Teams for notifications and updates. Implementing business logic through automated scripts. Monitoring and Logging: Implement and manage monitoring and logging solutions using tools like ELK stack (Elasticsearch, Logstash, Kibana) and AWS CloudWatch. Production Support:? Participate in on-call rotations and provide support for production systems, troubleshooting issues and implementing fixes.? Proactively identify and address potential production issues. Team Leadership and Mentorship: Lead and mentor junior backend developers, providing technical guidance, code reviews, and support their professional growth. Required Skills and Experience: 5+ years of experience in backend software development. Strong proficiency in Python and at least two of the following frameworks: Django, Flask, FastAPI. Hands-on experience with AWS cloud services, including ECS. Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., DynamoDB, Neptune). Strong experience with monitoring and logging tools, specifically ELK stack and AWS CloudWatch. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote Work Timings: 2:30PM-11:30PM(Monday-Friday)

Design and implement scalable, reliable, and secure cloud solutions on AWS. Manage the deployment, monitoring, and maintenance of AWS environments. Ensure cloud security and compliance with industry standards. Optimize costs and performance of AWS services. Lead in architectural decisions and strategies for migration and hosting applications over AWS. Implement security best practices, including data encryption and adherence to security protocols. Define and analyse the solution components, evaluating pros and cons using architecture parameters, register and govern functional and technical debts and discuss implementation trade-offs, risks, and recommendations to target state. Prepare solution designs and impact assessments covering business process flows, system dependencies, technology and infrastructure components, system interfaces and data models. Troubleshoot and resolve technical issues in the AWS environment. 15+ years of hands-on experience in Architecture design, implementation, migration, and infrastructure engineering, Cloud architecture design. Expert in implementing different AWS services like S3, Lambda, Route53, RDS, ECS, SNS, SQS etc. In-depth experience with AWS networking services, storage services, certificate management, secrets management, and database setup (RDS) Expert in creating solution proposals and blueprints, performing architecture assessments and technical audits with contextual understanding of business priorities, architecture evolution, organizational capabilities, and multiple stakeholder perspectives. Must have worked on design diagrams, effort estimations, design and test strategy review, application performance and production readiness. Must have knowledge of implementing the different design patterns like Microservices, DDD, Serverless architecture, etc. Proven expertise in AWS CDK and CDK Pipelines for IaC Familiarity or understanding of logging and monitoring services like AWS CloudTrail, CloudWatch, GuardDuty, and other AWS security services. Experience with CI/CD tools, DevOps implementation and HA/DR setup. Excellent communication and collaboration skills to work effectively in a team-oriented environment. Experience in supporting RFPs/Demos with the platform architecture and delivery experience knowledge and demonstrate product features & its customization capabilities. Nice to have knowledge of any language like Java, J2EE, Node JS or Python.

Job Function Join an outstanding team of Software Engineers working on Qualcomm Location Services Management, and Operations. Primary responsibilities • Continuous Server Software deployment on both hosted and cloud-based infrastructure (AWS) • Infra creation, automated deployments using IAC • Access and resource control management • Co-ordinates with other internal/external teams (QA, Dev, Systems, IT, AWS, Vendors, etc.) on service deployment/quality • Willing to work in shifts if required Secondary Responsibilities • Ensure 24x7 service availability and service quality • Triage issues in co-ordination with other teams • Improve service availability by adding alerts, monitors and response plans • Perform ad-hoc reporting • Liaise with vendors and customers on service quality • Provide periodic updates on Service cost and quality • Work closely with Engineering and Management teams . Skills • Strong knowledge of AWS Services Infrastructure (VPC, IAM, EC2, CloudFront, S3, ElastiCache, LB, Lambda, RDS, SQS, etc.) • Strong scripting and automation skills (Python/Shell) • Experience in containerization and orchestration tools such as Kubernetes, Docker • Proficient with IAC such as Terraform, Pulumi • Experience using monitoring tools such as Splunk, Datadog, Grafana, Tableau, AWS CloudWatch, Zabbix • Used continuous integration tools such as Jenkins, Maven • Experience with using MySQL DB, Athena, RDS, Aurora as data sources and writing moderately complex MySQL and Hive Queries • Experience with IT operations (Hosted and AWS Cloud based) Experience Level - 2-4 years DevOps, AWS, Scripting Educational Qualifications Required : Bachelor's, Degree in Engineering.

Specialized Open Positions in Azure - Cloud Engineer - DevOps Engineer - Solutions Architect - Azure Data Engineer - Security Engineer - API Developer - Data Hosting - IAM - OS - Integration C&B - Best in The Industry Required Candidate profile Mid Level - 5+ Years , Sr Level - 10+ years of Relevant Experience in Cloud Engineering Must have hands on Working Experience Send CV to itjobs@consultasia.in mention Specialization in Azure Cloud