54 Cloud Engineering Jobs - Page 2

Job Purpose: This role is responsible for leading cloud initiatives and drive the strategic development, management, and optimization of our cloud infrastructure. This role will be pivotal in overseeing our cloud engineering teams, ensuring high performance, scalability, security, and cost efficiency of our cloud environments across platforms such as AWS, Azure, GCP, or Oracle Cloud. Key Responsibilities: Lead the cloud engineering team, setting strategic direction and establishing best practices for cloud adoption, architecture, and operations. Design and implement scalable, secure, and cost-effective cloud solutions to meet business needs. Evaluate and choose the best cloud platforms and tools. Oversee the migration of on-premises applications and data to cloud platforms, ensuring minimal downtime and disruption. Manage and optimize cloud resources including compute, storage, and networking to ensure high availability and performance. Implement and manage DevOps practices, including CI/CD pipelines, automation, and infrastructure as code using tools like Jenkins, Docker, Kubernetes, and Terraform. Develop and enforce security policies, ensuring compliance with industry standards and protecting cloud environments from unauthorized access, data breaches, and other threats. Continuously monitor and improve the performance, reliability, and scalability of cloud systems. Identify and address bottlenecks and inefficiencies. Work closely with cross-functional teams including IT, security, development, and product teams to deliver integrated cloud solutions. Implement cost optimization strategies to control cloud spending and drive value from cloud investments. Stay up to date with the latest cloud technologies, trends, and best practices. Propose innovative solutions to improve the organizations cloud capabilities. Mentor, coach, and develop cloud engineering talent within the team, fostering a culture of learning and continuous improvement. Job Requirements: Bachelors or Masters degree in Computer Science, Information Technology 20+ Years of experience in cloud engineering, architecture, or a related field, with at least 5 years in a leadership role Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect) are highly desirable. Deep knowledge of cloud platforms (AWS, Azure, GCP, Oracle) and cloud-native technologies, including microservices, serverless architectures, and containerization Strong experience with DevOps tools and practices, including CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and automation Proficient in cloud security best practices, identity and access management, and compliance standards. Strong analytical and problem-solving skills with the ability to troubleshoot complex cloud infrastructure issues Proven ability to lead, inspire, and grow a high-performing engineering team. Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Direct link to apply : https://jobs.lever.co/pythian/2cec65bb-46eb-4ca0-8f94-1c9afd36bb38 Role & responsibilities Build and maintain client relationships, providing technical leadership and guidance for current projects. Collaborate with stakeholders to understand business requirements, assist in project planning, and document project plans for both small and medium-sized projects. Participate in and support sprint planning activities with the Project Manager, including story point estimation and ceremonies such as standups, backlog grooming, and retrospectives. Design and implement technical solutions for customer projects, ensuring scalability and efficiency. Create or contribute to building technical design documents and other necessary documentation for projects. Write testable, high-performance, reliable, and maintainable code for CI/CD pipelines and infrastructure-as-code frameworks (e.g., Terraform, CloudFormation). Design and implement security and network software components for multi-cloud solutions and architectures. Research, evaluate, and recommend third-party software and technology packages based on project requirements. Provide performance optimization recommendations and document best practices. Create cloud migration strategies and plans, following best practices and ensuring smooth transitions to cloud architectures. Develop automated provisioning solutions for servers, environments, containers, and data centers. Preferred candidate profile Experience with engineering solutions on major cloud provider platforms, preferably Google Cloud Platform (GCP), and one or both of Amazon Web Services (AWS) and Microsoft Azure. Hands-on experience with operating system platform configuration, tuning, and administration for Linux or Windows, with a preference for both. Strong understanding of application performance and design best practices to ensure applications and services are highly available, performant, scalable, and secure. High proficiency with open-source tools, including Hashicorp solutions such as Terraform, Packer, and Vault, along with other deployment frameworks like Pulumi. Proficiency in at least one popular programming language (e.g., Go, Java, Python, Ruby, Rust). Solid understanding of testing techniques and frameworks, including test and behavior-driven development, with experience in writing test suites, mocks, and fixtures. Capability to write scripts for maintenance, automation, and data processing using scripting languages such as Bash, Groovy, JavaScript, Perl, PHP, PowerShell, or R. Experience with common configuration management tools (e.g., Ansible, Chef, Puppet). Strong knowledge of automating deployment, scaling, and management of containerized applications, ideally with hands-on experience using Kubernetes and tools like Helm. Exposure to Anthos is a plus. Skilled in common CI/CD tools, patterns, and techniques, with familiarity in pipeline enablement products such as ArgoCD, Azure DevOps, Cloud Build, GitLab, or Jenkins. Understanding of development methods, workflows, and patterns, particularly Agile and DevOps practices. Experience with stream-processing platforms and services, such as Kafka and Cloud Pub/Sub. Solid understanding of data security principles, including encryption, access control, and identity management, and their technical application to enforce data custodianship and compliance. Experience with on-premise architectures and visualization applications such as vCenter Experience in MLOPs is a plus.

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. Gather and analyze requirements from various teams, translating them into actionable cloud delivery plans. Provision the cloud resources, ensuring they adhere to approved architectures and organizational standards on both Azure and AWS. Develop and maintain delivery processes and methodologies for multi-cloud deployments, with a focus on Data and AI platforms. Coordinate with project managers and business stakeholders to align cloud deliveries with project timelines and business objectives. Implement and maintain quality assurance processes for cloud deliveries across platforms. Stay up-to-date with the latest Azure and AWS services, features, and best practices, particularly in Data and AI, and incorporate them into delivery strategies. Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. Create and maintain documentation for cloud delivery processes, standards, and best practices across platforms. Collaborate with security teams to ensure cloud resources are deployed with appropriate security controls and comply with organizational policies in both Azure and AWS. Participate in capacity planning and cost optimization initiatives for multi-cloud resources. Facilitate knowledge sharing sessions and training programs to enhance the team's expertise in Azure, AWS, and Data and AI technologies. Establish and track key performance indicators (KPIs) for cloud delivery efficiency and quality across platforms. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both Azure and AWS. Strong understanding of Azure and AWS services, architectures, and best practices, particularly in Data and AI platforms. Certifications in both Azure (e.g., Azure Solutions Architect Expert) and AWS (e.g., AWS Certified Solutions Architect - Professional). Experience in working with multiple teams cloud platforms. Demonstrated ability to work horizontally across different teams and platforms. Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. working experience of DevOps practices and tools applicable to both Azure and AWS. Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). Proficiency in scripting languages (e.g., PowerShell, Bash, Python). Solid understanding of networking concepts and their implementation in Azure and AWS.

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our Cloud Engineering team. The primary focus of this role will be to develop and test software and systems for our various cloud marketplace offerings in Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS). The ideal candidate will have a strong background in cloud technologies, software development and automated testing. Job Requirements Proficiency in programming languages such as C, C++, Python, scripting etc. Experience with cloud platforms (Azure, GCP, AWS) and their services. Lead, mentor, and grow a team of backend engineers, fostering a culture of technical excellence and collaboration. Working familiarity with cloud infrastructure, storage protocols and standard network architectures. Experience with design / architectural patterns and automated testing frameworks and tools. Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, ARM). Expected to demonstrate skills in test design and development, automation framework design and implementation, and troubleshoot critical cloud storage and virtual platform issues. A major part of your responsibility will be to participate in several phases of the product development cycle including automated testcase design and development, test execution and triage. As a part of the Cloud Engineering team, you will participate in technical discussions within the immediate group and across functions, where evaluating and executing test design and test execution plans for virtual storage products. Experience in scripting or programming languages. Perl & especially Python experience preferred. Knowledge in virtualization, storage and cloud technologies is preferred. Strong aptitude for learning new technologies and applying creative ideas to solve problems. Education BTech in Computer Science or a related field required with a minimum of 8+ years of related experience is required.

Responsibilities: Design and implement cloud solutions using AWS and Azure. Develop and maintain Infrastructure as Code (IAC) with Terraform. Create and manage CI/CD pipelines using GitHub Actions and Azure DevOps. Automate deployment processes and provisioning of compute instances and storage. Orchestrate container deployments with Kubernetes. Develop automation scripts in Python, PowerShell, and Bash. Monitor and optimize cloud resources for performance and cost-efficiency using tools like Datadog and Splunk. Configure Security Groups, IAM policies, and roles in AWS\Azure. Troubleshoot production issues and ensure system reliability. Collaborate with development teams to integrate DevOps and MLOps practices. Create comprehensive documentation and provide technical guidance. Continuously evaluate and integrate new AWS services and technologies Cloud engineering certifications (AWS, Terraform) are a plus. Excellent communication and problem-solving skills. Minimum Qualifications: Bachelors Degree in Computer Science or equivalent experience. Minimum of five years in cloud engineering, DevOps, or Site Reliability Engineering (SRE). Hands-on experience with AWS and Azure cloud services, including IAM, Compute, Storage, ELB, RDS, VPC, TGW, Route 53, ACM, Serverless computing, Containerization, CloudWatch, CloudTrail, SQS, and SNS. Experience with configuration management tools like Ansible, Chef, or Puppet. Proficiency in Infrastructure as Code (IAC) using Terraform. Strong background in CI/CD pipelines using GitHub Actions and Azure DevOps. Knowledge of MLOps or LLMops practices. Proficient in scripting languages: Python, PowerShell, Bash. Ability to work collaboratively in a fast-paced environment. Preferred Qualifications: Advanced degree in a technical field. Extensive experience with ReactJS and modern web technologies. Proven leadership in agile and project management. Advanced knowledge of CI/CD and industry best practices in software development.

FICO's Platform Capabilities Foundational Services team is seeking an experienced AWS cloud engineer with a strong background in AWS engineering & support, DevOps, and infrastructure services to join our team. Experience with Message streaming technologies such as Kafka or Pulsar is a strong plus. The ideal candidate will have a deep understanding of AWS & it's portfolio of services, shared core infrastructure, and automation, along with a proven track record of success. In this role, you will work closely with teams across many disciplines designing and supporting high performance shared infrastructure & services in AWS that support critical product requirements. You will work closely with FICO architects, developers, and engineers to ensure our AWS cloud-based systems and services meet FICO standards & industry accepted best practices to maintain security, performance, and stability. Director, Cloud Engineering What Youll Contribute Design, build, and maintain core shared infrastructure and enterprise-scale AWS account lifecycle utilizing a number of available AWS services such as Route53, EC2, RDS, DynamoDB, AWS Organizations, and more. Design, build, and maintain distributed systems in AWS using streaming and messaging technologies such as Kafka and Pulsar. Work closely with developers and other engineers to ensure systems & services meet performance, availability, and scalability requirements. Design and implement best practices for security, monitoring, and maintenance of systems. Troubleshoot and resolve issues related to systems and services owned by the team. Document architecture, implementation, and operation procedures. Stay up to date with the latest developments in relevant technologies. What Were Seeking Bachelor's degree in a computer science field or equivalent work experience. Experienced in AWS engineering (EC2, RDS, EKS, ECS, S3, EBS, IAM, DynamoDB, Cloudwatch, Cloudtrail, Organizations). Experience desired for Pulsar and Kafka or other similar message streaming technologies. Experience in designing and implementing distributed shared infrastructure using a mixture of traditional on-premises, SaaS, and AWS cloud services. Experience with Kubernetes, Docker, Helm, and other container technologies. Strong understanding of networking, security, automation, and performance optimization in AWS. Preferred AWS Certification. Experience managing systems at scale using infrastructure as code (IaaC) tools such as Terraform or Cloudformation. Experience with monitoring and logging technologies such as Cloudwatch, AppDynamics, Prometheus (Grafana), Splunk, Cloudtrail, etc. Excellent communication and collaboration skills. Ability to work in a fast-paced, team-oriented environment. Strong Linux and Windows Systems Engineering experience. Preferred Jenkins, CI/CD, and scripting experience. Desirable DevOps and Agile project experience.

Key Responsibilities Design, develop, and maintain Custom Built Serverless systems for high-volume traffic and real-time processing. Architect, implement, and manage cloud infrastructure across AWS, Azure, and GCP for scalability and performance. Implement and manage container orchestration systems such as Kubernetes and ECS, ensuring optimal performance across cloud environments. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Experience with building Serverless services using Batch and Jobs. Build, maintain, and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications. Implement robust monitoring, logging, and alerting systems to ensure high availability, fault tolerance, and disaster recovery. Optimize cloud resource utilization for cost-effectiveness and performance improvements. Collaborate with development teams to integrate and manage APIs, microservices, and databases (SQL/NoSQL) in scalable environments. Ensure the security and compliance of our infrastructure and applications, applying cloud-native security best practices. Troubleshoot and resolve complex issues in both development and production environments. Stay current with industry trends and emerging technologies, especially in cloud, DevOps, and Python development. Contribute to open-source projects and represent the company at industry events and conferences. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in DevOps, Cloud Engineering, or Python Development roles. Expertise in cloud platforms (AWS, Azure, GCP), with strong knowledge of their services, particularly for serverless, compute, and storage solutions. Proficient in Python development, with experience in building and maintaining Python servers and APIs. Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes). Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting. Proficiency in building, managing, and optimizing CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack) for troubleshooting and system insights. Solid understanding of cloud security, networking concepts, and security best practices in cloud environments. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Work and Technical Experience: Strong D&A background an understanding of cloud and data engineering concepts in AWS Design, develop, and optimize data models and solutions for various business use cases Build and maintain data pipelines, transformations, and integrations using best practices Develop and implement performance tuning strategies Create, maintain, and optimize ETL/ELT processes Competencies: ETL/ELT, Data Engineering, Cloud, Data Modeling Technologies: Snowflake, AWS, SQL, Python SAP background preferred, not a must-have In depth knowledge of key cloud services for data integration, BI and data processing services In depth knowledge of cloud storage services & compute services Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Working Knowledge of S3. Good Expertise in AWS services like Athena Tables, Glue Jobs etc. Strong understanding of Snowflake DW. Must Have Experience in AWS Cloud Service Proficient in SQL, including CTE and database table design, with the ability to write efficient queries on large data sets. Experienced in Snowflake or strong database experience, including SQL tuning. Skilled in developing and optimizing ETL processes using Snowflake and other tools. Create, maintain, and optimize ETL/ELT processes Experienced in data analysis and profiling tasks.

About the Role Youll be joining our Application Development team managing the entire DevOps infrastructure and pipelines. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. Responsibilities : Building Monitoring, logging, alerting around our infrastructure and applications Improving the reliability of our Infrastructure systems and CI/CD pipelines Putting everything into code through extensive use of Terraform. Plan for reliability by designing systems to work across our multi-region and multi-cloud environments. Working in close collaboration with multi-functional teams Diagnose and troubleshoot complex technical issues, application, and database related to the SaaS environment. Create innovative solutions to enhance client experience. Independently drive architecture, design, and development of our DevOps and Infrastructure. Use Agile methodology to develop and iterate on features. Create clean, testable code. Participate in code & design reviews. Analyze and improve performance as needed. Collaborate with clients and internal staff Function within a team and be a self-directed individual contributor. Requirements & Qualifications: Degree in Computer Science or related field (Master / Bachelor level); Experience 5 years to 10 years Containerization (we use Kubernetes) Configuration tools and frameworks (we use Terraform, Helm) Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization Programming experience with Go/Python, and Git High level abstractions for system configuration and management Public clouds: AWS/Azure/GCP (we use both AWS and Azure) Other things we value are security awareness, and experience with CI/CD concepts. Additional Experience We Would Love to Have Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions

As a Cloud Engineer III , you will be eager to learn and stay up to date on new and emerging cloud technologies. We will count on you to work as part of Insight and client teams, following Agile/Scrum approaches and ceremonies. Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. What were looking for Bachelors degree in information technology, Computer Science, or related field preferred, or equivalent practical experience. 3+ years of experience in a similar or related role is required. Any relevant cloud certification is a plus. Hands-on experience with one or more cloud providers (AWS, Azure, GCP) is a must. Familiarity with writing infrastructure as code (e.g., Terraform, Azure Bicep, ARM templates, CloudFormation) is a must. Working experience with at least one of the CI/CD tools and version control systems (e.g. Azure DevOps, GitHub Actions, Jenkins, Git, GitHub, Azure Repos) is required. Familiarity with Windows and Linux/Unix-based systems is a must. Proficiency in Azure infrastructure cloud services like Azure VM, VNET, Storage, Monitoring, Azure Functions, Load Balancers, Azure AD, Azure DNS, Traffic managers and Application Gateways for network optimization. What you can expect Were legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another locationeven an international destinationfor up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance

Overview We are seeking a Cloud Platform Enablement Engineer to join our team, supporting cloud adoption, automation, and governance within PepsiCos cloud ecosystem. This role is customer-facing, working closely to enabling teams to facilitate a smooth cloud journey by providing guidance, best practices, security compliance, and continuous services excellence. The ideal candidate will have strong technical expertise in cloud services (Azure, AWS), automation, and infrastructure provisioning, combined with excellent communication and collaboration skills to support teams in their cloud adoption process. Responsibilities Cloud Enablement & Customer Support: Act as a trusted advisor, helping teams navigate their cloud adoption journey. Provide hands-on support for cloud resource provisioning, optimization, and best practices. Assist teams in resolving cloud-related challenges, ensuring a seamless experience. Automation & Infrastructure as Code (IaC): Develop and maintain automation scripts and Infrastructure as Code (Terraform, ARM, CloudFormation, etc.). Implement automated guardrails to ensure compliance with cloud governance policies. Optimize cloud provisioning workflows to improve efficiency and reduce manual effort. Cloud Governance & Compliance: Ensure cloud resources align with security and compliance frameworks. Work closely with FinOps, Security, and Governance teams to enforce tagging, cost controls, and security best practices. Assist in NSG reviews, access management, and workload assessments. Cross-Team Collaboration & Enablement: Partner with Cloud Architects, DevOps, and FinOps teams to streamline cloud adoption. Provide training, documentation, and knowledge-sharing to enhance cloud capabilities across teams. Drive continuous improvement in cloud onboarding and self-service experiences. Qualifications 5-7 years of hands-on experience in cloud engineering, cloud operations, or cloud enablement roles. Hands-on experience with Azure or AWS Strong understanding of customer-facing technical roles and ability to facilitate cloud adoption. Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM, or Ansible Strong knowledge of networking (NSG, VPC, Firewalls, DNS, etc.) in cloud environments. Experience with automation and scripting (Python, PowerShell, Bash). Familiarity with cloud security, compliance, and governance frameworks. Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders. Preferred: Certifications in Azure (AZ-104, AZ-305), AWS (Solutions Architect) Experience with FinOps and cloud cost management tools. Knowledge of CI/CD pipelines and DevOps methodologies.

Summary: Join Evernorth's Cloud patterns team in the software engineering excellent organization as a Full Stack Engineer. The team builds AWS patterns - fully architected, built and tested repeatable processes and templates. A pattern gives ready to use, tried and tested Infrastructure-as-code libraries (TF scripts), IAM policies, ci/cd config and step by step implementation guide. They enable faster time to market within guardrails of well architecture and cloud CoE practices as well as Fedramp compliance. Applications teams use these patterns for either migrate to AWS or for green field development on AWS. A typical day for cloud engineers may be dedicated to one of the following activities- identifying patterns, building a pattern, consultation problem statement, evolution of the patterns or support to application teams in adoption of a pattern. The team closely partners with cloud Coe, Enterprise architect, EKS platform teams, Enterprise DevOps, DBAs, Information protection organization and so on. Job Description: As a cloud engineer, the candidate will mainly focus on mastering existing patterns and helping application teams adopt these patterns during their journey to AWS. You will work with a highly Agile team to develop, execute, validate and maintain AWS patterns. The candidate must be passionate about cloud and is always looking to further their personal knowledge and expertise. The candidate is comfortable executing against tasks that are occasionally ambiguous but works independently to seek out the needed information and is not the type to wait for others to tell them "what to do next", but who proactively looks to fill their work queue. The ideal team member will be creative, responsive, flexible, and willing to participate in an open collaborative peer environment. The candidate enjoys working in a team of high performers, who hold each other accountable to perform to their very best and does not shy away from opportunities to provide and take feedback with team members. The candidate works towards delivering a Minimal Viable Product with proper testing, avoids scope creep, and follows Software Engineering practices as defined by Evernorth Standards. The candidate is expected to actively participate in all ceremonies like Daily Stand-ups, Grooming, review user stories & Team retrospectives. A good fit will demonstrate following traits in abundance: Focuses on providing thought leadership across multiple disciplines; recognized internally as the go-to person for the most complex Cloud Engineering assignments. Implements organization's cloud strategy from a technical perspective, including design, planning, integration, maintenance and support of cloud architecture. Supports development and execution of cloud implementation strategy within organization's existing IT infrastructure. May work with stakeholders across organization to evaluate cloud systems and identify appropriate solutions. Responsibilities: As a cloud engineer you will; Design and hands-on development of robust solutions to hard problems considering scale, security, reliability, performance, operational excellence and cost. Supports other product delivery partners in the successful build, test, and release of solutions. Works with distributed requirements and technical stakeholders to complete shared design and development. Supports the full software lifecycle of design, development, testing, and support for technical delivery. Actively participate in agile ceremonies Work with the team to understand the business value and break down the feature as stories Reviews user story / requirements to identify ambiguities Communicate clearly, concisely, and effectively for your audience. Collaborate across teams and departments to help to create best practices Identify risks and help mitigateAbility to design with ambiguous requirements Guide and mentor team members on all aspects of software engineering Ability to drive innovation in the organization Ability to make presentations on software technologies, frameworks, and patterns to the organization Qualifications Required Skills: in depth Terraform knowledge Comfortable with using Docker, quay and Kubernetes, ArgoCD Working knowledge of AWS Services: S3, Cloudfront, EKS, Aurora, postgres, MongoDB, AWS Networking Teach to fish not fish for the app teams, thus help enable Day 2 app management on AWS Spring boot is a plus Attention to details Quick Learner Excellent Communication Strong experience in developing and integrating RESTful web-services Experience with build and deployment tools, e.g., Git, Jenkins etc Automation driven Mindset to improve maintainability and testability Document design and solution to provide clarity. Cigna specific tooling like below is a plus - RAAS, CCOE P2P processes, CNP, Dev tooling expertise, Onboarding activities for teams like kick off and workshops, understanding of firewalls and ability to troubleshoot - familiarity with CCA / TSE / Firewalls, Familiar to Service Now Required Experience & Education: 10+ years of experience AWS Architect associate or higher Desired Experience: Hashicorp Terraform cert is a big plus DevOps and Finops

Key Responsibilities Design, develop, and maintain Custom Built Serverless systems for high-volume traffic and real-time processing. Architect, implement, and manage cloud infrastructure across AWS, Azure, and GCP for scalability and performance. Implement and manage container orchestration systems such as Kubernetes and ECS, ensuring optimal performance across cloud environments. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Experience with building Serverless services using Batch and Jobs. Build, maintain, and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications. Implement robust monitoring, logging, and alerting systems to ensure high availability, fault tolerance, and disaster recovery. Optimize cloud resource utilization for cost-effectiveness and performance improvements. Collaborate with development teams to integrate and manage APIs, microservices, and databases (SQL/NoSQL) in scalable environments. Ensure the security and compliance of our infrastructure and applications, applying cloud-native security best practices. Troubleshoot and resolve complex issues in both development and production environments. Stay current with industry trends and emerging technologies, especially in cloud, DevOps, and Python development. Contribute to open-source projects and represent the company at industry events and conferences. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in DevOps, Cloud Engineering, or Python Development roles. Expertise in cloud platforms (AWS, Azure, GCP), with strong knowledge of their services, particularly for serverless, compute, and storage solutions. Proficient in Python development, with experience in building and maintaining Python servers and APIs. Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes). Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting. Proficiency in building, managing, and optimizing CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack) for troubleshooting and system insights. Solid understanding of cloud security, networking concepts, and security best practices in cloud environments. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Position Summary: You will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for Sr AI Engineers with strong Azure Cloud Experience, full stack expertise to evaluate new Large Language Models (LLMs) and make them available for the enterprise in a compliant and secure manner. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Job Description & Responsibilities: Build enterprise grade AI solutions with focus on privacy, security, fairness. Comprehensive understanding of cloud computing principles, services (such as resource pooling, rapid elasticity, measured service) and architectures(microservice and serverless) from major cloud providers (e.g., AWS, Azure, Google Cloud, OpenShift). Design and implement solutions leveraging OpenShift's features for container orchestration or using Azure services like Azure Machine Learning Service, Azure Blob Storage, Azure Functions, and Azure Virtual Machines to configure LLMs , Azure Data Factory and Azure APIs. Test latest LLMs using standard evaluation criteria and make the LLMs available for enterprise use, with the right security, authentication, logging and monitoring. Efficiently managing cloud resources to optimize performance and cost. Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Min 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Experience Desired: Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage / retrieval using vector databases like pinecone. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Primary Skills: Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. OpenShift and Kubernetes Expertise: In-depth knowledge of OpenShift and Kubernetes concepts, architecture, and best practices Programming experience in C/C++, Java, Python. Good to have Web development and solution skills, Flask, Django (for Python) or Express (for Node.js) Basic knowledge of web frameworks for creating restful APIs to serve models as a service. AWS Services knowledge: Leveraging one or more of Sagemaker, S3, Lambda, and EC2 to build solutions on the AWS cloud. Strong knowledge of data structures, algorithms, and software engineering principles. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure Additional Skills: Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Responsible for UKGs data network infrastructure including but not limited to routers, switches, firewalls, network taps, tools, and load balancers(both physical and virtual) and public cloud networking. Provide sound problem determination and resolution, document methodologies, thorough knowledge of data network management, execute hardware and software installations, and performance tuning and recovery Improve, innovate, and create enhancements to existing processes and policies Procure, track and renew SSL certificates issued by Trusted CAs Provide and maintain clear, consistent, and accurate documentation of network topologies and standards, including documentation of ISO and other related standards and/or regulatory compliance Availability for on-call rotation and work on projects outside normal working hours Responsible to work on project tasks related to provisioning, break-fix, enhancement and new initiatives along with maintaining, troubleshooting, and supporting all migration and changes to the environments Troubleshoot network issues using packet analysis tools and other standard network tools and would be expected to coordinate with domain architects as per the requirement. Follow routine operational tasks such as device backups, code management, configuration compliance, reporting, environmental and performance management while adhering to security policies Perform all tasks within security, governance, and compliance standards and guidelines Responsible for coordination with product and business stakeholders to understand the requirements from network perspective and plan the implementation accordingly. Minimum of 8 years of technical network engineering experience Hands on experience of minimum 3 years on Public Cloud (GCP, Azure, AWS) is necessary Hands on experience on IaC Tools (Terraform, Ansible) is necessary Previous work experience of following change management procedures and maintaining a highly available infrastructure Experience working in a distributed multi-data centre SaaS environment. Experience with Cisco Technologies Experience with Juniper Technologies Experience with F5 Technologies Knowledge of routing concepts and protocols (RIP, EIGRP, IGRP, OSPF, BGP, HSRP, VRRP, route redistribution etc.) Knowledge of SSL management and certificate expiration dates LAN switching Internetworking to include VLANS, spanning tree, trunking, port aggregation, and segmentation Experience of working on Next Generation Firewalls(Fortinet, Palo Alto etc.) Experience and knowledge working with tunnelling technologies including IPSEC and SSL VPNs and GRE tunnelling Must understand load balancing strategies/ techniques, expertise in application switching/traffic management, knowledge of persistence and SSL certificates Experience with protocol analysers and related network diagnostic tools Experience in Network management and monitoring systems Microsoft Windows general internetworking and troubleshooting knowledge Experience working in support of WAN connectivity and internet service providers Knowledge of Infrastructure security aspects would be beneficial Knowledge of the Agile ways of working would be beneficial Preferred Qualifications/Skills: CCNA, CCNP, JNCIA, JNCIS, Public Cloud certifications a plus Self-motivated and capable of working effectively without supervision Exceptional written & communication skills Strong organizational skills Problem-solving expertise Multi-tasking abilities Detail oriented

Cloud Engineering Lead This role will involve managing and scaling Docker and Kubernetes infrastructure, designing and implementing cloud architectures, and leading containerization and infrastructure automation across various projects. You will work with a broader set of DevOps and CNCF tools, applying deep expertise in CI/CD, security, and infrastructure-as-code to support high-availability applications across diverse cloud environments. What Youll Do: Design, implement, and manage Kubernetes clusters (EKS) across AWS environments, maintaining secure, scalable, and resilient solutions. Lead the development and automation of CI/CD pipelines using tools such as ArgoCD, Cilium, TeamCity, CodeBuild, CodeDeploy, and CodePipeline to streamline application deployment and configuration. Expertly manage cloud resources using Terraform, and develop reusable, version-controlled IaC modules, promoting modular, scalable infrastructure deployment. Strong understanding and experience with Helm charts, and CNCF applications such as Cilium, Karpenter, and Prometheus. Configure and optimize Kubernetes clusters, ensuring compliance with container security standards. Oversee Docker image creation, tagging, and management, including maintaining secure, efficient Docker repositories (ECR, JFrog). Utilize monitoring tools (Prometheus, Grafana, Splunk, Cloudwatch Container Insight) to ensure system performance, detect issues, and proactively address performance concerns. Act as an escalation point for critical issues, conduct root cause analyses and maintain SOPs and documentation for efficient incident response and knowledge sharing. Provide training, mentorship, and technical guidance to junior team members, fostering a culture of continuous learning within the CCoE team. What Youll Bring: BE/B.Tech or higher in CS, IT or EE Hand-on experience of 7-8yrs in delivering container-based deployments using Docker and Kubernetes Good exposure in writing Helm Charts and configuring Kubernetes CI/CD pipelines Experience in writing manifest files for Deployment, Service, Pod, Daemon Sets, Persistent Volume (PV), Persistent Volume Claim (PVC), Storage, Namespaces Hand-on experience in delivering container-based deployments using Docker and Kubernetes Experience in Cloud, DevOps, and Linux and Experience in DevOps Tools like Git, Helm, Terraform, Docker, and Kubernetes Strong hands-on experience in Python, Yaml, or similar languages. Build and deploy Docker containers to break up monolithic apps into microservices, improving developer workflow Strong understanding of container security and relevant tool experience like Sysdig, CrowdStrike, etc Strong knowledge of container performance monitoring and scaling policies Deep Linux knowledge with an understanding of the container ecosystem Good Experience to develop images using Docker container Technology Should have good communication skills and a can-do attitude

We are seeking a highly skilled Cloud Engineering Lead with expertise in Azure and DevOps(CICD), and secondary skills in Terraform, Python and Kubernetes to join our team. As a key member of our DevOps team, you will be responsible for designing, implementing, and maintaining the infrastructure and deployment pipelines for our cloud-based applications and services on the Azure platform. Your deep knowledge of Azure services will be instrumental in automating infrastructure provisioning, configuration management, and deployment processes to ensure scalability, reliability, and security of our cloud environments. What youll do : Assist in deploying, managing, and troubleshooting Azure resources, including virtual machines, networking, and storage. Manage Azure networking services such as private endpoints, load balancers, Application Gateway, and ExpressRoute to ensure secure and efficient connectivity. Configure and manage Azure services such as Database, Function APPs, Vnet, IAM, and ARM Template. Administer Azure governance features, including management groups, Azure Policy, and cost management. Create and manage Service Principals for secure access to Azure resources, and implement role-based access control (RBAC) policies Develop and maintain Kubernetes clusters on AZURE EKS for deploying and managing containerized applications, implementing best practices for cluster management, including scaling, upgrades, and security. Containerize applications using Docker to ensure consistency across development, testing, and production environments, developing and maintaining Dockerfiles and Docker Compose configurations for multi-container applications. Develop and maintain infrastructure as code (IaC) templates using Terraform to provision and manage AZURE resources. Implement best practices for modularization, reusability, and version control of Terraform configurations. Architect scalable, cost-effective, and resilient AZURE infrastructure solutions to support our applications and services. Design and implement CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AZURE DevOps to automate build, test, and deployment processes. Implement security best practices and compliance standards (e.g., CIS benchmarks, GDPR, HIPAA) in AZURE environments. Stay updated on Azure services, features, and best practices, and provide recommendations for improving our Azure infrastructure. Optimize AZURE infrastructure for cost efficiency by rightsizing resources, implementing auto-scaling, and leveraging AZURE cost management tools. Monitor AZURE usage and spending, identify cost-saving opportunities, and implement cost optimization strategies. Act as an escalation point for critical issues, conduct root cause analyses and maintain SOPs and documentation for efficient incident response and knowledge sharing. Provide training, mentorship, and technical guidance to junior team members, fostering a culture of continuous learning within the team. What youll bring : Bachelors degree in computer science, Engineering, or related field. 6+ years of experience of working as a DevOps Engineer with a focus on AZURE cloud platform. Strong proficiency in Kubernetes and secondary skills in Terraform for infrastructure provisioning and management. In-depth knowledge of AZURE services and their configuration, including Database, Function APPs, Vnet, IAM, and ARM Template. Experience with CI/CD pipelines and tools like Jenkins, GitLab CI/CD, or AZURE DevOps. Familiarity with containerization technologies such as Docker. Solid understanding of networking concepts, security principles, and best practices in AZURE environments. Excellent problem-solving and troubleshooting skills with the ability to debug complex issues in cloud infrastructure. Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Comfortable working in rotational shifts Ability to quickly learn new platforms, languages, tools, and techniques as needed to meet project requirements. Self-motivated and directed, with strong attention to detail. Certification on Terraform / AZURE certified is a plus.

As an SRE , you will work with AWS, Kubernetes, Jenkins, and GitLab CI/CD to drive automation, monitoring, incident response, and performance improvements . You will contribute to both operational excellence and strategic initiatives in cloud reliability and security. WHAT THE ROLE OFFERS: Cloud Infrastructure & Reliability Engineering Ensure 99.99% uptime and reliability of TDR services through proactive monitoring and optimizations. Architect, deploy, and manage AWS cloud environments including EC2, S3, RDS, EKS, IAM, Lambda, and CloudFormation. Manage and optimize Kubernetes (EKS) clusters and containerized applications using Docker and Helm. Improve Infrastructure as Code (IaC) using Terraform, Ansible, or CloudFormation to automate cloud deployments. CI/CD & Automation Develop and maintain CI/CD pipelines in Jenkins, GitLab CI/CD, or ArgoCD for seamless software delivery. Automate infrastructure provisioning, deployments, and operational workflows . Ensure zero-downtime deployments and efficient release management. On-Call Responsibilities & Incident Management Participate in a 24/7 on-call rotation , ensuring rapid response to incidents. Investigate, diagnose, and resolve production incidents while minimizing downtime (MTTR). Conduct blameless postmortems and implement fixes to prevent future incidents. Improve SLI/SLO monitoring , alerting mechanisms, and automate incident remediation. Monitoring & Performance Optimization Implement and optimize monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, ELK, or Datadog. Enhance observability to detect anomalies and improve system performance. Optimize infrastructure costs and implement auto-scaling strategies for efficient resource utilization. Security & Compliance Ensure security best practices, including IAM policies, encryption, and network security . Automate security compliance (SOC2, ISO27001, HIPAA) and vulnerability management. Regularly patch, audit, and secure cloud environments . Collaboration & Leadership Work cross-functionally with DevOps, security, and development teams to drive reliability best practices. Mentor and coach junior engineers on SRE principles, automation, and cloud reliability . Contribute to team growth by improving operational workflows, documentation, and training . Key KPIs Contributed by this Role Uptime & Reliability: Maintain high availability (99.99%) of TDR services. Incident Resolution: Reduce MTTR (Mean Time to Resolution) through automation and improved response times. Automation & Efficiency: Enhance operational efficiency by implementing self-healing, auto-scaling, and auto-remediation . Cost Optimization: Optimize cloud spending through scalable, right-sized infrastructure . Deployment Success: Support seamless infrastructure and CI/CD-driven production deployments . WHAT YOU NEED TO SUCCEED: 7-12 years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering . Expertise in AWS Cloud Hands-on experience with EC2, VPC, RDS, S3, IAM, Lambda, and EKS. Kubernetes & Containers Experience managing EKS, Helm charts, Docker, and container orchestration. CI/CD & Automation Proficiency in Jenkins, GitLab CI/CD, or ArgoCD for deployment automation. Infrastructure as Code (IaC) Strong knowledge of Terraform, Ansible, or CloudFormation. Monitoring & Logging Familiarity with CloudWatch, Prometheus, Grafana, ELK, or Datadog. Scripting & Automation Experience in Python, Shell scripting, or Golang. Incident Management & Reliability Best Practices Strong understanding of SLOs, SLIs, error budgets, and chaos engineering

at least 2 of the following areas of infrastructure - network engineering and security, OS administration (Linux), system and network monitoring and troubleshooting. Experience with docker, Azure Kubernetes Service and Linux container. Knowledge of virtualization including deployment and lifecycle management. Experience with IoT Sensors (cellular, LoRaWAN, BLE, WiFi), BU Instrumentation & Electrical roles (BU Operations & Engineering) Azure IoT Hub, LoRaWAN Network Servers, MQTT / Sparkplug B, Ignition, Aveva PI

Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities: Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Leading Junior & Intermediate & Senior Engineers Primary Skills: Azure/Google cloud platform Kubernetes Apigee Identity Management Microservices .Net Core Web API Application performance scaling Relational Databases DevSecOps Proficiency Secondary Skills: Technical Communication/Presentation Creatively develops tools, visual aids and other original content to support the understanding/education of complex and technical information (e.g., legal, operational risk, and regulatory data). Utilizes knowledge of the organizations business model and operations to drive high impact projects and complex analyses that support the organizations mission. Leverages deep understanding of the policies, practices, trends and information that impact the organization and its customers to plan for future projects. Utilizes knowledge of the business and financial impact of decisions/solutions to drive high-impact projects that support the organization and contribute to financial performance. Guides others on the best practices and approaches for creating clear, concise and organized communication materials to convey technical concepts in a user-friendly way. Challenges others to bring fresh and creative perspective to differentiating technical communications and ensuring comprehension and ease-of-use for various audiences. Industry Knowledge Demonstrates advanced understanding of the industry and its performance by remaining current on leading trends and interacting with industry stakeholders Serves as an expert on industry issues, including trends and challenges or concepts; provides guidance and expertise on unique situations. Guides customers and key stakeholders on selection and application of industry products/services, enabling them with the proper tools, resources and knowledge for successful implementation. Stakeholder Engagement Identifies and manages key business partner relationships, listens to and understands their needs and expectations, maintains open two-way communication and delivers value to business partner. Maintains, facilitates, and improves upon those relationships and demonstrates accountability for results. Develops trust and influence among key business partners. Is available and consistently communicates with business partners to reach desired goals in a timely manner, showing flexibility when needed. IT Network Management Plans and determines resources for network management projects and provides suggestions to enhance capabilities and performance. Emerging Technology Trends and Practices Applies knowledge of emerging technology trends and best practices to show the potential business application of technology improvements. Leadership Skills Communicates effectively Leverages data purposefully Manages detail and complexity Qualifications: 10 to 12 years of experience in cloud Engineer. Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

An Engineer is responsible for designing, developing and delivering significant components of engineering solutions to accomplish business goals. Key responsibilities of this role include active participation in the design and development of new features of application enhancement, investigating re-use, ensuring that solutions are fit for purpose and maintainable, and can be integrated successfully into the overall solution and environment with clear, robust and well tested deployments. Assists more junior members of the team and controls their work where applicable. Your key responsibilities Develops source code , including CI/CD pipelines, infrastructure and application related configurations , for all Software Components in accordance with Detailed Software Requirements specification. Provides quality development for technical infrastructure components (i.e., Cloud configuration, Networking and Security, Storage, Infrastructure as a Code) and source code development. Debugs, fixes and provides support to L3 and L2 team. Verifies the developed source code by reviews (4-eyes principle). Contributes to quality assurance by writing and conducting unit testing. Ensures architectural changes (as defined by Architects) are implemented. Contributes to problem and root cause analysis. Integrates software components following the integration strategy. Verifies integrated software components by unit and integrated software testing according to the software test plan. Software test findings must be resolved. Ensures that all code changes end up in Change Items (CIs). Where applicable, develops routines to deploy CIs to the target environments. Provides Release Deployments on non-Production Management controlled environments. Supports creation of Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions. Checks consistency of documents with the respective Software Product Release. Where applicable, manages maintenance of applications and performs technical change requests scheduled according to Release Management processes. Fixes software defects/bugs, measures and analyses code for quality. Collaborates with colleagues participating in other stages of the Software Development Lifecycle (SDLC). Identifies dependencies between software product components, between technical components, and between applications and interfaces. Identifies product integration verifications to be performed based on the integration sequence and relevant dependencies. Suggests and implements continuous technical improvements on the applications (Scalability, Reliability, Availability , Performance) Your skills and experience General Skills Bachelor of Science degree from an accredited college or university with a concentration in Computer Science or Software Engineering (or equivalent) with a minor in Finance, Mathematics or Engineering. Strong analytical skills. Proficient communication skills. Fluent in English (written/verbal). Ability to work in virtual teams and in matrixed organizations. Excellent team player. Open minded. Keeps pace with technical innovation. Understands the relevant business area Ability to share information, transfer knowledge and expertise to team members. Ability to design and write code in accordance with provided business requirements Ability to contribute to QA strategy and Architecture decisions. Knowledge of IT delivery and architecture of Cloud native systems and applications Relevant Financial Services experience. Ability to work in a fast-paced environment with competing and alternating priorities with a constant focus on delivery. Ability to balance business demands and IT fulfilment in terms of standardization, reducing risk and increasing IT flexibility. Domain Specific Skills Very Good knowledge of the following technologies are needed: Cloud offering (GCP preferred) Cloud services - IAAS, PAAS, SAAS Cloud native Development and DevOPS, API management, Networking and Configuration Java or Python, Good understanding of ETL/ Data pipelines Very good Knowledge about the core processes / tools such as HP ALM, Jira, Service Now, SDLC, Agile processes.

Role Description Senior Engineer is responsible for designing and developing entire engineering solutions to accomplish business goals. Key responsibilities of this role include ensuring that solutions are well architected, with maintainability and ease of testing built in from the outset, and that they can be integrated successfully into the end-to-end business process flow. They will have gained significant experience through multiple implementations and have begun to develop both depth and breadth in a number of engineering competencies. They have extensive knowledge of design and architectural patterns. They will provide engineering thought leadership within their teams, and will play a role in mentoring and coaching of less experienced engineers. Your key responsibilities Hands-on software development Solution Design and Architecture ownership Work in Agile and Scrum delivery model Should be able to contribute towards good software design Strong communication with stakeholders Articulate issues and risks to management in timely manner Train other team members to bring them up to speed Design/Build/Enhance software components (legacy and the new version). Build tests (junit or automation tests). Take End to End responsibility from design to deployment through the environments all the way to production. Production Support and Troubleshooting. Your skills and experience Hands on development experience on Cloud based full stack application Hands on experience on GKE, CloudRun, CloudFunctions Passionate about test driven development Proficient in Java full stack developent (Java, Angular8+, SpringBoot etc) Expert understanding of UI testing frameworks like Jasmin, Karma etc. Should be able write and execute end to end automated functional test case for the functionality developed Basic understanding of data security like authentication, authorization etc. Has more than 8 years of coding experience in reputed organization. Extensive experience with java and related technologies such as Spring Core/Spring Boot/Hibernate/MyBatis Experience in developing application using data processing frameworks such as Spring Batch, Apache Beam, Apache Storm Core java concepts such as lambdas and functional programming, streams, Generics, Concurrency Memory Management Tuning and Troubleshooting, experience with profiling and monitoring tools Knowledge of solution design and architecture including UML Design Patterns Refactoring Architecture decisions, quality attributes, documentation Experience working in Agile teams Experience with Messaging and integration, Patterns, REST, SOA Experience with build and deployment Maven/Artifactory/TeamCity or Jenkins Unix scripting and hands on experience Performance engineering , different types of tests, measurement, monitoring, tools Performance tuning and troubleshooting Knowledge of emerging trends and technologies Experience with end to end design and delivery of solutions RDBMS /Oracle design, development, tuning As a Full stack Cloud Developer, your skills should include: Must have: Hands on development experience on Cloud based full stack application Hands on experience on GKE, CloudRun, CloudFunctions Expert understanding of UI testing frameworks like Jasmin, Karma etc. In-depth understanding of Rest API/Graphql API design, development and deployment Hands-on development experience is must on Angular, creating shared libraries, common components etc. Knowledge of UI architectural design patterns, layout structures like Monorepo. Experience of HTML5, CSS3, JavaScript (ES5 & ES6 and above), Typescript, Angular v10 and above, RxJs, Redux (NgRx), Bootstrap, Ag-Grid, GraphQL (Apollo-angular), Node.js, Wire mock, Cypress, Karma, Jasmine etc. Experience working in an agile team, practicing Scrum. Tool Knowledge: VS code, SonarQube, Jira, Confluence etc. Deployment CI/CD Experience, GIT, Artifactory, Jenkins, Openshift A background in creating high-quality web-based user interfaces. An understanding of how to ensure these interfaces are easy to navigate, linkable, responsive and accessible. Practical experience of delivering good quality code within enterprise scale development Good to have: Knowledge gained in Financial Services environments, for example compliance, trade lifecycles, regulation, risk, financial reporting will be a plus. Package manager for GKE, Kubernetes/Openshift - Helm or Kubernetes native yaml. Able to guide junior developers in coding, designing and other development activities Experience with cloud technologies

As a Lead for collateral management technology, you will have functional oversight of engineering delivery continuously reviewing designs and quality and driving re-use. You will manage stakeholder relationships across operations and font office who in t urn manage client relationships . You will play a key role in improving engineering capability in this area through recruitment and development activities as well as simplification of platform landscape. Working closely with the global program team, you will be responsible for important design decisions and engineering approaches that can be disruptive within and outside of the domain towards simplifying architecture, reducing technical debt and increasing flow. You will provide technology leadership across teams, mentor and coach junior engineers and encourage continuous improvement in delivery practices. You will enjoy partnering closely with your clients whilst working within a broader creative, collaborative and innovative team, with a strong desire to make an impact. FIC is a key part of Deutsche Banks Investment Bank franchise. FIC Technology has engineering capability across the globe, with key technical resources in the UK, US, Germany and India. The FIC Technology India is on a growth path and you will play a key role in building and consolidating the technical teams in India and ensure that they are resourced and skilled to enable FICs aggressive Transformation and Simplification journey and its move to Google Cloud. We are looking for a senior engineering lead to take on leadership responsibilities for the Collateral, Margining Technology team globally. Qualifications & Experience Experienced Technology Lead with broad knowledge and skills across Technology and Business Experience of managing collateral technology platforms is a definite advantage. Software Engineering and Software Development Lifecycle including Agile adoption. Cloud Engineering experience is a major plus. Minimum of 15-20 years of relevant experience in hands on leadership with technology delivery, design and development. Understanding of financial sector technologies will be an added advantage. Demonstrable Engineering and Delivery Discipline achievements Experience in diverse range of IT landscape in a large complex institution and global multinational. Demonstrable success managing and operating in a matrix environment that encompasses functional and geographical diversity. Initiate and deliver technology evaluations and recommendations. Should have lead and demonstrated transformation initiatives in complex global environment and progressive companies.

We are seeking a seasoned Engineering Manager to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities: Technical Leadership: Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the teams technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management: Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching and Development: Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence: Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Make deployment decisions with appropriate risk mitigation. Minimum Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Working knowledge of Github Actions, Ansible and Terraform Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications: BE/Btech or equivalent in Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies.

7+ years of relevant experience working with the Cloud, including direct hands-on work with modern cloud architectures for at least the last 4 years Strong hands-on experience in 2-3 of the following areas: Cloud Engineering for native architectures Cloud Migration & Modernization to native services DevSecOps on the cloud Operation of Production Workloads running in modern cloud architectures FinOps Experience designing and leading implementation of cloud solutions on the relevant areas of expertise Active Cloud Certifications at an Associate+ level for any of the main cloud providers Experience dealing with client stakeholders at the technical and nontechnical (business/executive) levels Very good communication skills at a technical and non-technical level Ability to explain complex ideas in simple and concise terms Ability to articulate details of an end-to-end solution clearly and succinctly Ability to present not just a technical view but also the business drivers and impact for the projects he has participated in, or any theoretical scenarios presented.