cloud software engineer

Forcepoint

<div>
 
 Software Engineer II
 
 
 Company: Forcepoint LLC
 
 
 Location: Mumbai
 
 
 About the Role
 
 
 Forcepoint is seeking a Software Engineer to lead the design, development, and delivery of cloud-based software systems and applications. This role requires deep technical expertise, leadership skills, and a passion for mentoring and driving engineering excellence. You&rsquo;ll work across teams to shape architecture, influence best practices, and deliver high-impact solutions in a dynamic, cloud-first environment.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Lead the design and development of scalable software solutions in public cloud environments.
 </li>
 <li>
 Set and uphold high standards for software development and delivery.
 </li>
 <li>
 Translate business requirements into technical designs and cloud service architectures.
 </li>
 <li>
 Own software deliverables end-to-end, from design to customer delivery.
 </li>
 <li>
 Mentor and guide engineering team members through design and implementation phases.
 </li>
 <li>
 Drive architectural decisions and contribute to long-term technical strategy.
 </li>
 <li>
 Participate in code reviews, design discussions, and prototype development.
 </li>
 <li>
 Monitor and manage cost efficiency of deployed services and applications.
 </li>
 <li>
 Evaluate new technologies and provide recommendations.
 </li>
 <li>
 Collaborate across teams to ensure alignment with business goals and technical direction.
 </li>
 <li>
 Support quality assurance by reviewing test plans and recommending testing strategies.
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 2-4 years of experience in software engineering, with a strong focus on cloud services and applications.
 </li>
 <li>
 Expertise in public cloud platforms (AWS, Azure, etc.) using IaaS and PaaS.
 </li>
 <li>
 Proficiency in multiple programming languages. Python is must.
 </li>
 <li>
 Strong understanding of web protocols (TCP/IP, SSL/TLS, DNS) and Web APIs.
 </li>
 <li>
 Experience developing on Linux/Unix platforms.
 </li>
 <li>
 Proven ability to lead small engineering teams technically and deliver complex features.
 </li>
 <li>
 Excellent communication and documentation skills.
 </li>
 <li>
 Familiarity with Agile methodologies and DevOps practices.
 </li>
 <li>
 Strong understanding of product architecture, customer use cases, and business impact.
 </li>
 <li>
 Passion for continuous learning and staying current with cloud and security technologies.
 </li>
 <li>
 Experience with full software lifecycle: requirements, development, testing, deployment, and operations.
 </li>
 <li>
 Confident in presenting technical topics internally and externally (e.g., conferences, customer meetings).
 </li>
 <li>
 Advocate for agile metrics and engineering excellence (e.g., DORA metrics).
 </li>
 <li>
 Experience in hiring and building high-performing teams.
 </li>
 </ul>
 
 Preferred Skills
 
 <ul>
 <li>
 Familiarity with React and Django frameworks and MongoDB
 </li>
 <li>
 Experience working in a SASE (Secure Access Service Edge) framework.
 </li>
 <li>
 Experience in integration with third party applications&rsquo; API (E.g. Graph/REST).
 </li>
 <li>
 Experience working with large enterprise customers.
 </li>
 <li>
 Kubernetes expertise.
 </li>
 <li>
 AWS certifications or equivalent cloud credentials.
 </li>
 <li>
 Deep understanding of security concepts: encryption, secure coding, vulnerabilities, and web security.
 </li>
 <li>
 Experience with data storage technologies (RDBMS, NoSQL, etc.).
 </li>
 </ul>
</div>

Software Engineer

<div>
 
 Introduction
 
 
 
 IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments.
 
 
 India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance &amp; Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps.
 
 
 
 
 Your Role And Responsibilities
 
 
 
 
 As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software &amp; Cloud Software.
 
 
 
 As a Software Developer At ISDL:
 
 
 
 <ul>
 <li>
 You will be focused on development of IBM Systems products interfacing with development &amp; product management teams and end users, cutting across geos.
 </li>
 <li>
 You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products.
 </li>
 <li>
 You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers.
 </li>
 <li>
 You will be valued for your contributions in a growing organization with broader opportunities.
 
 
 </li>
 </ul>
 At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let&rsquo;s talk.
 
 
 
 
 Required Technical And Professional Expertise
 
 
 
 
 Systems and Cloud Software Engineer:
 
 
 As a Software Engineer with IBM Systems and Cloud Software teams, you will get the opportunity to get involved in all the phases of software development and work with technically accomplished teams. The responsibilities comprise of design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems. You could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability &amp; Serviceability thereby, enabling the creation of a seamless software user experience across the stack delivering to IBM&rsquo;s Hybrid Cloud and AI clients. As an engineer you will be responsible for enhancing and maintaining the key components of the Software stack, Platform enablement and an opportunity to work on closed and Open source development communities.
 
 
 
 Required Technical Expertise:
 
 
 
 <ul>
 <li>
 Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture.
 </li>
 <li>
 Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting.
 </li>
 <li>
 Comfortable in working with Github and leveraging Open source tools.
 
 
 </li>
 </ul>
 
 AI Software Engineer:
 
 
 
 As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z.
 
 
 You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI.
 
 
 
 Required Technical Expertise:
 
 
 
 <ul>
 <li>
 Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills,
 </li>
 <li>
 Strong programming skills like &ndash; C, C++, R, Python, Go Lang and well versed with Linux platform.
 </li>
 <li>
 Strong understanding of Data Science, modern tools and techniques to derive meaningful insights
 </li>
 <li>
 Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc.
 </li>
 <li>
 Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch
 </li>
 <li>
 Understanding of Deep Learning Compilers (DLC)
 </li>
 <li>
 Natural Language Processing (NLP) skills
 </li>
 <li>
 Understanding of different CPU architectures (little endian, big endian).
 </li>
 <li>
 Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data.
 
 
 </li>
 </ul>
 
 
 Preferred Technical And Professional Experience
 
 
 
 
 Preferred Technical Expertise:
 
 
 <ul>
 <li>
 Practical working experience with Java, Python, GoLang, ReactJS,
 </li>
 <li>
 Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills,
 </li>
 <li>
 Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment.
 </li>
 <li>
 Basic understanding of storage technologies: SAN, NAS, DAS
 </li>
 <li>
 Familiarity with RAID levels and disk configurations
 </li>
 <li>
 Knowledge of file systems (e.g., NTFS, ext4, ZFS)
 </li>
 <li>
 Experience with operating systems: Windows Server, Linux/Unix
 </li>
 <li>
 Basic networking concepts: TCP/IP, DNS, DHCP
 </li>
 <li>
 Scripting skills: Bash, PowerShell, or Python (for automation)
 </li>
 <li>
 Understanding of backup and recovery tools (e.g., Veeam, Commvault)
 </li>
 <li>
 Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage
 </li>
 </ul>
</div>

Adria Solutions

Senior C# Software Engineer Are you a talented C# and Azure developer ready to take ownership of innovative projects across Web, Desktop, and Cloud environments?Our client, a well-established and forward-thinking software development company, is expanding its team and seeking an exceptional Senior C# Software Engineer to help shape the next generation of their technology solutions. This is not just another coding role - it's a chance to lead projects, influence architecture, and make a measurable impact on the products you help deliver. About the Role As a Senior C# Software Engineer, you'll play a key role in delivering high-quality, scalable, and performant software across a range of cutting-edge systems - from cloud-based platforms to on-premise solutions.You'll work closely with a team of talented developers and stakeholders, contributing to technical decisions and ensuring best practices are followed throughout the development lifecycle. Tech Stack You'll Work With <ul> <li>Languages & Frameworks: C#, .NET Core, ASP.NET Core MVC, Web API</li><li>Cloud & Data: Azure Functions, Azure Storage, Cosmos DB, Azure SQL</li><li>UI & Front-End: WPF, Blazor, SignalR, Skia</li><li>DevOps & Integration: Azure DevOps, CI/CD pipelines, B2B Web APIs</li></ul> Key Responsibilities <ul> <li>Lead the design and development of innovative, high-performance software solutions.</li><li>Translate high-level requirements into clear, efficient, and maintainable code.</li><li>Influence software architecture and DevOps strategy for cloud-based systems.</li><li>Collaborate with cross-functional teams to deliver quality applications on time.</li><li>Drive best practices in code quality, testing, and continuous integration.</li><li>Support products through the full lifecycle - from build to deployment and beyond.</li></ul> About You We're looking for someone who goes beyond the basics - a developer who not only writes great code but also understands the bigger picture.You'll be able to show how your technical expertise and ideas have delivered real business value, whether through performance improvements, process automation, or technical innovation. You should bring: <ul> <li>Strong experience in C# / .NET Core development (ideally 5+ years).</li><li>Proven experience with Azure cloud technologies and CI/CD.</li><li>A passion for clean architecture, maintainable code, and problem-solving.</li><li>Excellent communication skills and a collaborative mindset.</li></ul> Show Us What You Can Do To help us understand your technical strengths and creativity, please include: <ul> <li>Links to your GitHub, GitLab, or Bitbucket repositories, especially where you've contributed meaningful or original code.</li><li>Examples of personal projects or libraries you've created or contributed to.</li><li>A short note about how your work has made a difference - whether through innovation, optimisation, or technical leadership.</li></ul> We're looking for engineers who demonstrate passion, depth, and impact - not just experience. What's in It for You <ul> <li>Competitive salary based on experience</li><li>Flexible working hours and remote working options</li><li>A supportive, modern working culture that values creativity, learning, and collaboration</li></ul> Interested? If you're ready to take the next step in your career and work on exciting, high-impact projects, click Apply Now - or share your CV and GitHub link. Senior C# Software Engineer

Senior C# Software Engineer

VaporVM

<div><div><div>Date Posted:</div>
06 January, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div>Role: Cloud and Virtualization Engineer 
 
Key Responsibilities:

Design and implement scalable cloud infrastructure solutions, integrating on-premise and cloud environments for optimal performance.

Management of virtual infrastructure, including resource provisioning, monitoring, and capacity planning in hybrid cloud systems.

Automate infrastructure tasks using cloud-native tools such as Terraform to streamline deployment, infrastructure provisioning.

Use CI/CD in the infrastructure as Code for the cloud infrastructure.

Experience in the infrastructure, troubleshooting for serverless solutions such as Cloud Run, GKE.

Troubleshoot and resolve issues in cloud and virtualized environments, providing expert support for critical incidents.

Ensure continuous optimization of cloud infrastructure to meet business needs, providing recommendations for improvements.

Certifications:

AZ-305: Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure DevOps Engineer Expert

Certified Kubernetes Administrator (CKA)

Google Professional Cloud Architect

Google Professional Cloud DevOps Engineer</div></div>

Cloud and Virtualization Engineer

Architecture In Motion

<div>Job Title: Azure AI / ML &amp; MLOps Engineer

Position Status: Contract, Full-time, (Remote)

Team: AI / ML

Manager: Head of R&amp;D, Data Science &amp; MLOPs 
Job Summary: 

We are seeking an Azure AI / Machine Learning Engineer with MLOps experience to work in AI/ML team. As an AI/ML Engineer, you'll be responsible for design, development and implementation of all cycles of AI/ML projects and MLOps including training, test, staging, monitoring and deployment of predictive models on cloud-based platform specifically Azure cloud. AI/ML Engineer needs to ensure that our machine learning systems are reliable, scalable, and secure, and that they meet the needs of our customers. 
Candidate must have proficiency and proved track of experience in Generative &amp; Agentic AI and LLMs projects such as chatbots, Agentic Process Builder and Automation using Microsoft and Azure ecosystem. 
The ideal candidate will have an extended experiences of deployment and maintaining of AI / ML models in production, a deep understanding of the latest developments in machine learning &amp; artificial intelligence and working experience with both structuredaand unstructured data. 
Job Responsibilities:<ul><li> 
Collaborate closely with the AI / ML and software teams to improve the internal processes and integrate the Machine Learning &amp; Deep Learning models into our products and services.</li></ul>
<ul><li>Development and building AI solutions using advanced technologies including Generative &amp; Agentic AI and LLMs.</li></ul>
<ul><li>MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li></ul>
<ul><li>Deploy and manage AI/ML models in production.</li></ul>
<ul><li>Automating AI/ML model deployment and updating.</li></ul>
<ul><li>Setting up monitoring for the AI/ML pipeline.</li></ul>
<ul><li>Automating scalable CI/CD pipelines to account for data, codes, and model changes.</li></ul>
<ul><li>Development and setting up automated model retraining and test pipelines.</li></ul>
<ul><li>Prepare unit tests for AI / ML algorithms and models.</li></ul>
<ul><li>Contribution in design, development, and test of data ETL pipelines for ML models.</li></ul>
<ul><li>Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.</li></ul>
<ul><li>Maintaining the infrastructure that supports the models and algorithms.</li></ul>
<ul><li>Design, build and deploy powerful BI solutions as per business requirements.</li></ul>
<ul><li>Participate in modeling Relational and NoSQL databases.</li></ul>
<ul><li>Host and optimize ML Artifacts on premise and on the cloud.</li></ul>
<ul><li>Contribution in projects documentation.</li></ul>
<ul><li>Investigating new technologies that meet corporate standards to enhance the team.</li></ul>
<ul><li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li></ul>
<ul><li>Ability to work on your own and with the team.</li></ul>
<ul><li>Performs other duties as assigned.</li></ul> 
Qualifications:

You MUST have the following:
<ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Machine Learning, or related areas.</li></ul>
<ul><li>Proven experience as a ML Ops Engineer or similar role.</li></ul>
<ul><li>Understanding of data structures, data modeling and software architecture.</li></ul>
<ul><li>Ability to design and implement cloud solutions.</li></ul>
<ul><li>Ability to write robust codes in SQL and Python.</li></ul>
<ul><li>Proven experience in Generative &amp; Agentic AI and LLMs.</li></ul>
<ul><li>Experience working with Containers and Kubernetes.</li></ul>
<ul><li>High level knowledge of frameworks such as Keras, PyTorch, Tensorflow.</li></ul>
<ul><li>Ability to build MLOps pipelines including CI/CD Configuration Management, Containers &amp; Infrastructure Orchestration.</li></ul>
<ul><li>Experience with software development and preparation of Python packages.</li></ul>
<ul><li>Experience in using MLOps frameworks like MLFlow.</li></ul>
<ul><li>Working knowledge of orchestrating end to end ML pipelines.</li></ul>
<ul><li>Deep understanding of Azure, Private Networking, Azure ML Studio and its sub-components, Azure Synapse, Azure DataBricks, Azure Stream Analytics, Azure Data factory, OpenAI, Github Actions, and Azure DevOps.</li></ul>
<ul><li>Experience with Microsoft Fabric, onelake and Power Automate.</li></ul>
<ul><li>Experiences with version control tools specifically Azure DevOps Git.</li></ul>
<ul><li>Work experiences with typical data storage technologies and methodologies included data warehouse and data lake.</li></ul>
<ul><li>Work experience with APIs.</li></ul>
<ul><li>Expertise in SQL, NoSQL databases.</li></ul>
<ul><li>Ability to write Linux/Unix Shell Scripting.</li></ul>
<ul><li>Excellent communication skills.</li></ul>
<ul><li>Ability to work in a team.</li></ul>
<ul><li>Outstanding analytical and problem-solving skills.</li></ul> 
Start Date:

As Soon As Possible</div>

Azure AI / ML & MLOps Engineer

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within Asset and Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities<div>
</div><ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<div>
</div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Proven experience in Full Stack Software Development, React, Java, Spring and Cloud (AWS).</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
<div></div>Preferred qualifications, capabilities, and skills<div>
</div><ul><li>Familiarity with modern front-end technologies</li><li>
Exposure to cloud technologies</li></ul>
ABOUT US</div>

Software Engineer III

Information Technology Senior Management Forum

<div><div>Posted Date
1/09/2026
</div><div>Description
<div>Senior Software Engineer, Back End
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One&rsquo;s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
Our Cloud FinOps team at Capital One drives our centralized cloud management processes and practices to maximize the business value of our cloud usage &amp; ensure cloud health. Specifically, we work to: design best in class tooling + data-driven insights to understand cloud usage, performance, and cost, provide scalable solutions for applications to optimize cloud performance &amp; capacity, automate to enable real-time cloud spend decisions &amp; ensure cloud health, and influence cloud efficiency through organizational strategy engagements &amp; alignment.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of professional software engineering experience (Internship experience does not apply)</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
1+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
3+ years of experience in open source frameworks</li><li>
2+ years of experience in Agile practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Senior Software Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Software Engineer, Back End
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One&rsquo;s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
Our Cloud FinOps team at Capital One drives our centralized cloud management processes and practices to maximize the business value of our cloud usage &amp; ensure cloud health. Specifically, we work to: design best in class tooling + data-driven insights to understand cloud usage, performance, and cost, provide scalable solutions for applications to optimize cloud performance &amp; capacity, automate to enable real-time cloud spend decisions &amp; ensure cloud health, and influence cloud efficiency through organizational strategy engagements &amp; alignment.
What You&rsquo;ll Do:<ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of professional software engineering experience (Internship experience does not apply)</li></ul>
Preferred Qualifications:<ul><li>
5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
1+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
3+ years of experience in open source frameworks</li><li>
2+ years of experience in Agile practices</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $161,800 - $184,600 for Senior Software Engineer 

Richmond, VA: $147,100 - $167,900 for Senior Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
161,800.00 - 184,600.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Software Engineer, Back End

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