4 Scripting Python Jobs

As a member of the methodology team in the Design Engineering category based in Bengaluru, India, your primary responsibility will be to lead the development, enhancement, and deployment of low-power structural check methodologies for multiple SoC and IP projects. Your role will involve creating automated flows to ensure UPF/CPF consistency, power domain integrity, and structural rule validation at both RTL and netlist levels. Collaboration with design, verification, and EDA partners will be essential to establish robust, scalable, and high-coverage power-aware design signoff strategies across different technology nodes and product segments. Your key responsibilities will include developing and maintaining low-power structural check methodologies, building automated flows using tools like Synopsys VC LP, SpyGlass-LP, and Conformal LP, ensuring power intent consistency, integrating structural checks into signoff regressions, and collaborating with vendors and internal teams to enhance tools and drive global adoption. You will also be involved in audits, quality reviews, and milestone checks to maintain the quality of the methodologies. To excel in this role, you should possess at least 5 years of experience in low-power structural methodologies and UPF/CPF-based flows. A deep understanding of power intent specs, domain partitioning, isolation, and retention is crucial, along with hands-on experience with tools like VC LP, SpyGlass-LP, or Cadence CLP. Proficiency in scripting (Python, Perl, TCL) for flow automation, experience with large SoC/IP designs, and strong communication and documentation skills are also required. Nice to have skills and experience include familiarity with formal verification or functional simulation for power-aware designs, knowledge of complex power analysis, exposure to hierarchical low-power signoff strategies, and involvement in industry working groups or technical conferences. Additionally, experience with power-aware DFT, scan strategies, and low-power aware synthesis flows will be advantageous. At Arm, we value behaviors such as partnership, dedication, collaboration, communication, originality, resourcefulness, team and personal development, impact, and influence. If you require any accommodations during the recruitment process, please reach out to accommodations@arm.com. We believe in equal opportunities and offer a hybrid working environment that promotes flexibility and personal wellbeing. Join us in shaping extraordinary teams and making a difference in the world of technology.,

As an AWS Cloud Engineer at our company based in Kerala, you will play a crucial role in designing, implementing, and maintaining scalable, secure, and highly available infrastructure solutions on AWS. Your primary responsibility will be to collaborate closely with developers, DevOps engineers, and security teams to support cloud-native applications and business services. Your key responsibilities will include designing, deploying, and maintaining cloud infrastructure using various AWS services such as EC2, S3, RDS, Lambda, and VPC. Additionally, you will be tasked with building and managing CI/CD pipelines, automating infrastructure provisioning using tools like Terraform or AWS CloudFormation, and monitoring and optimizing cloud resources through CloudWatch, CloudTrail, and other third-party tools. Furthermore, you will be responsible for managing user permissions and security policies using IAM, ensuring compliance, implementing backup and disaster recovery plans, troubleshooting infrastructure issues, and responding to incidents promptly. It is essential that you stay updated with AWS best practices and new service releases to enhance our overall cloud infrastructure. To be successful in this role, you should possess a minimum of 3 years of hands-on experience with AWS cloud services, a solid understanding of networking, security, and Linux system administration, as well as experience with DevOps practices and Infrastructure as Code (IaC). Proficiency in scripting languages such as Python and Bash, familiarity with containerization tools like Docker and Kubernetes (EKS preferred), and holding an AWS Certification (e.g., AWS Solutions Architect Associate or higher) would be advantageous. It would be considered a plus if you have experience with multi-account AWS environments, exposure to serverless architecture (Lambda, API Gateway, Step Functions), familiarity with cost optimization, and the Well-Architected Framework. Any previous experience in a fast-paced startup or SaaS environment would also be beneficial. Your expertise in AWS CloudFormation, Kubernetes (EKS), AWS services (EC2, S3, RDS, Lambda, VPC), cloudtrail, cloud, scripting (Python, Bash), CI/CD pipelines, CloudWatch, Docker, IAM, Terraform, and other cloud services will be invaluable in fulfilling the responsibilities of this role effectively.,

As a Data Manager, you will play a crucial role in leading the development, governance, and utilization of enterprise data systems to ensure seamless and secure flow of data across platforms and teams. Your strategic leadership will enable timely access to actionable insights and support data-driven decision-making throughout the organization. Your primary objectives will include optimizing data systems and infrastructure for business intelligence and analytics, implementing best-in-class data governance, quality, and security frameworks, leading a team of data and software engineers to develop and maintain cloud-native platforms, and supporting data needs across the enterprise. Key responsibilities will involve developing and enforcing policies for effective data management, designing secure processes for data collection, storage, and analysis, monitoring and enhancing data quality and consistency, overseeing data integration from multiple systems, and collaborating with internal stakeholders to meet data requirements and compliance standards. In addition, you will be expected to manage, mentor, and grow a high-performing data engineering team, lead cross-functional collaboration with other teams, facilitate partnerships with cloud providers, conduct architecture reviews, and ensure alignment of data operations with enterprise goals. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, have 10-15 years of experience in enterprise data architecture or governance, possess expertise in SQL, data modeling, and modern data tools, and demonstrate a deep understanding of AWS cloud services and DevOps practices. Preferred experience in healthcare analytics or data environments, familiarity with EHR/EMR systems, and strong soft skills such as leadership, communication, and adaptability will be advantageous in this role. In return, we offer competitive compensation, a hybrid and flexible work environment, career development programs, and a collaborative culture focused on innovation and impact. Join us in driving data excellence and leveraging cutting-edge technologies to make a difference in the organization and beyond.,

As a Senior Information Security Engineer, you will be responsible for leading vulnerability assessments and policy compliance scans in various environments including on-premises, cloud, containers, databases, and web platforms using tools such as Qualys. Your role will involve validating scan results, eliminating false positives, and delivering accurate reports to stakeholders. You will serve as a technical subject matter expert by analyzing findings, diagnosing root causes, and guiding remediation efforts. It is essential to develop and maintain a knowledge base to support continuous improvement and enhance team expertise. Stay updated on emerging threats, tools, and advancements in vulnerability management lifecycle to recommend service enhancements. Effective communication of security requirements across the organization and the ability to step in as an interim team lead when necessary are also key aspects of this role. With a minimum of 8 years of experience in the field of information security and a Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent, you will be well-equipped to excel in this role. Industry certifications such as CISSP, CISA, CISM, CRISC, CCNA, CCNP, or CCIE Security are preferred. Your technical expertise should include proficiency in vulnerability scanning platforms like Qualys and Nessus, false-positive tuning, and compliance frameworks. Experience across cloud and on-premises systems, network devices, and infrastructure components is required. Skills in risk and threat assessment, security policy enforcement, and familiarity with containers, DDI, WAF, CDN, and DDOS solutions will be beneficial. Knowledge of scripting languages like Python and experience with monitoring tools such as Spectrum, SevOne, ThousandEyes, CyberArk, and MS-Entra-ID would be advantageous. In addition to technical skills, soft skills and leadership qualities are essential for this role. Strong analytical, communication, and report-writing abilities are necessary. Demonstrated leadership capabilities including guiding teams, managing escalations, and fostering a security-conscious culture are important. Being an adaptable self-starter with a commitment to continuous learning and proactive problem-solving will contribute to your success in this role.,