Job Title: Site Reliability Engineer Experience : 3 to 11 Years Location : Bangalore Working Mode : Hybrid About the Role Were seeking an experienced Site Reliability Engineer (SRE) who thrives in fast-paced environments and is passionate about building reliable, scalable, and secure systems. You will work closely with cross-functional teams to enhance the performance, observability, and resiliency of our systems, while championing DevOps and SRE best practices. Key Responsibilities Software & Automation : Develop, test, and maintain high-quality software, frameworks, and automation tools to improve system reliability and reduce manual effort. System Design : Collaborate with product and engineering teams to design scalable and resilient infrastructure solutions. Incident Management : Lead incident response efforts, troubleshoot issues, and participate in on-call rotations. Create and maintain runbooks. Observability & Monitoring : Implement observability strategies using tools like Grafana, Splunk , and other APM/monitoring solutions. Define SLIs/SLOs for applications and infrastructure. CI/CD & DevOps : Design and maintain CI/CD pipelines using GitHub Actions . Promote DevOps best practices across teams. Infrastructure Management : Build and optimize cloud and/or on-prem infrastructure with a focus on scalability, performance, and reliability. Security & Compliance : Ensure systems are secure and comply with industry standards. Collaborate with security teams to implement necessary controls. Collaboration & Reviews : Participate in code reviews, sprint ceremonies, and design discussions to ensure high-quality deliverables. Knowledge Sharing : Document processes and systems comprehensively. Mentor junior engineers and contribute to knowledge-sharing initiatives. Required Skills & Qualifications Programming/Scripting : Proficiency in one or more languages like Python . Cloud Expertise : Good working knowledge of at least one major cloud platform Microsoft Azure or GCP . CI/CD : Hands-on experience with GitHub Actions and version control using Git . Observability : Experience with monitoring tools such as Grafana, Splunk , Prometheus , etc. Agile Methodology : Solid understanding of Agile/Scrum processes. Incident & Problem Management : Willingness to work in operations and manage live issues. Certifications : Azure Fundamentals (AZ-900) or equivalent required. Soft Skills : Strong problem-solving, communication, and collaboration skills.

Job Title: Data Engineer Company : Aqilea India(Client : H&M India) Employment Type: Full Time Location: Bangalore(Hybrid) Experience: 4.5 to 9 years Client : H&M India At H&M, we welcome you to be yourself and feel like you truly belong. Help us reimagine the future of an entire industry by making everyone look, feel, and do good. We take pride in our history of making fashion accessible to everyone and led by our values we strive to build a more welcoming, inclusive, and sustainable industry. We are privileged to have more than 120,000 colleagues, in over 75 countries across the world. Thats 120 000 individuals with unique experiences, skills, and passions. At H&M, we believe everyone can make an impact, we believe in giving people responsibility and a strong sense of ownership. Our business is your business, and when you grow, we grow. Website : https://career.hm.com/ We are seeking a skilled and forward-thinking Data Engineer to join our Emerging Tech team. This role is designed for someone passionate about working with cutting-edge technologies such as AI, machine learning, IoT, and big data to turn complex data sets into actionable insights. As the Data Engineer in Emerging Tech, you will be responsible for designing, implementing, and optimizing data architectures and processes that support the integration of next-generation technologies. Your role will involve working with large-scale datasets, building predictive models, and utilizing emerging tools to enable data-driven decision-making across the business. You ll collaborate with technical and business teams to uncover insights, streamline data pipelines, and ensure the best use of advanced analytics technologies. Key Responsibilities: Design and build scalable data architectures and pipelines that support machine learning, analytics, and IoT initiatives. Develop and optimize data models and algorithms to process and analyse large-scale, complex data sets. Implement data governance, security, and compliance measures to ensure high-quality Collaborate with cross-functional teams (engineering, product, and business) to translate business requirements into data-driven solutions. Evaluate, integrate, and optimize new data technologies to enhance analytics capabilities and drive business outcomes. Apply statistical methods, machine learning models, and data visualization techniques to deliver actionable insights. Establish best practices for data management, including data quality, consistency, and scalability. Conduct analysis to identify trends, patterns, and correlations within data to support strategic business initiatives. Stay updated on the latest trends and innovations in data technologies and emerging data management practices. Skills Required : Bachelors or masters degree in data science, Computer Science, Engineering, Statistics, or a related field. 4.5-9 years of experience in data engineering , data science, or a similar analytical role, with a focus on emerging technologies. Proficiency with big data frameworks (e.g., Hadoop, Spark, Kafka) and experience with modern cloud platforms (AWS, Azure, or GCP). Solid skills in Python, SQL, and optionally R, along with experience using machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. Experience with data visualization tools (e.g., Tableau or Power BI or D3.js) to communicate insights effectively. Familiarity with IoT and edge computing data architectures is a plus. Understanding of data governance, compliance, and privacy standards. Ability to work with both structured and unstructured data. Excellent problem-solving, communication, and collaboration skills, with the ability to work in a fast-paced, cross-functional team environment. A passion for emerging technologies and a continuous desire to learn and innovate. Interested Candidates can share your Resumes to mail id karthik.prakadish@aqilea.com

Job Title: Automation Lead Infrastructure & Scripting Location: Hyderabad (Hybrid) Job Type: Contract to Hire About the Role: We are seeking a results-driven Automation Lead with strong expertise in Python, Ansible , and other scripting tools to drive automation initiatives across our IT infrastructure landscape. The ideal candidate will have a solid background in networking, Active Directory , and general infrastructure operations , along with a passion for solving complex problems through automation. Key Responsibilities: Lead the design, development, and deployment of automation solutions for infrastructure operations using Python, Ansible , and other tools. Identify manual processes and develop scripts/playbooks to automate configuration, provisioning, and monitoring. Collaborate with network, server, and platform teams to understand requirements and develop end-to-end automation workflows. Maintain and enhance existing automation frameworks, ensuring scalability and maintainability. Implement and manage configuration management, compliance, and orchestration strategies. Mentor junior engineers and establish automation best practices across teams. Integrate with CI/CD pipelines to streamline delivery and deployment processes. Monitor automation performance and provide continuous improvements and updates. Required Skills and Experience: 6+ years of experience in infrastructure engineering or automation. Strong hands-on experience with Python for scripting and automation. Expertise in Ansible for configuration management and orchestration. Experience with other scripting tools such as PowerShell, Bash, Shell scripting , etc is a plus. Solid understanding of network fundamentals (switching, routing, VLANs, firewalls). Exposure to Active Directory, DNS, DHCP , and other Windows infrastructure services. Experience integrating with REST APIs for automation and monitoring purposes. Exposure to version control systems such as Git and CI/CD tools like Jenkins, GitLab CI, or etc . Strong troubleshooting and analytical skills with an automation-first mindset. Nice to Have: Experience with infrastructure as code (IaC) tools like Terraform . Familiarity with containerization (Docker) and orchestration platforms (Kubernetes). Experience with monitoring tools like Prometheus, Grafana, Nagios , etc. Cloud automation experience with Azure, or GCP . Knowledge of ITIL practices and change management processes. Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).