Mainframe Developer

Title – Principal Cloud Architect

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Global Cloud team focuses on the delivery of first-class services and solutions for our customers. We are an innovative and dynamic team that is passionate about transforming the Deltek cloud services that power our customers' project success. Our diverse, global team works cross-functionally to make an impact on the business. If you want to work in a transformational environment, where education and training are encouraged, consider Deltek as the next step in your career!

External Job Title :

Principal Cloud Cost Optimization Engineer

Position Responsibilities :

The Cloud Cost Optimization Engineer plays a key role in supporting the full lifecycle of cloud financial management (FinOps) at Deltek—driving visibility, accountability, and efficiency across our cloud investments. This role is responsible for managing cloud spend, forecasting, and identifying optimization opportunities that support Deltek's cloud expansion and financial performance goals.

We are seeking a candidate with hands-on experience in Cloud FinOps practices, software development capabilities, AI/automation expertise, strong analytical skills, and a passion for driving financial insights that enable smarter business decisions. The ideal candidate is a self-starter with excellent cross-team collaboration abilities and a proven track record of delivering results in a fast-paced environment.

Key Responsibilities:

• Prepare and deliver monthly reports and presentations on cloud spend performance versus plan and forecast for Finance, IT, and business leaders.
• Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools.
• Apply financial and vendor management principles to support contract optimization, cost modeling, and spend management.
• Clearly communicate technical and financial insights, presenting complex topics in a simple, actionable manner to both technical and non-technical audiences.
• Partner with engineering, product, and infrastructure teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities.
• Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across AWS, Azure, and OCI.
• Collaborate with the Cloud Governance team to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale.
• Support forecasting by partnering with infrastructure and engineering teams to understand demand plans and proactively manage capacity and spend.
• Build and maintain financial models and forecasting tools that provide actionable insights into current and future cloud expenditures.
• Develop and maintain automated FinOps solutions using Python, SQL, and cloud-native services (Lambda, Azure Functions) to streamline cost analysis, anomaly detection, and reporting workflows.
• Design and implement AI-powered cost optimization tools leveraging GenAI APIs (OpenAI, Claude, Bedrock) to automate spend analysis, generate natural language insights, and provide intelligent recommendations to stakeholders.
• Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting.
• Develop and sustain relationships with internal stakeholders, onboarding them to FinOps tools, processes, and continuous cost optimization practices.
• Create and maintain KPIs, scorecards, and financial dashboards to monitor cloud spend and optimization progress.
• Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization.
• Use FinOps tools and services to analyze cloud usage patterns and provide technical cost-saving recommendations to application teams.
• Develop self-service FinOps portals and chatbots using GenAI to enable teams to query cost data, receive optimization recommendations, and understand cloud spending through natural language interfaces.
• Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection.

Qualifications :

• Bachelor's degree in Finance, Computer Science, Information Systems, or a related field.
• 4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization.
• 6-8 years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
• Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and/or third-party FinOps platforms (e.g., Cloudability, CloudHealth, Apptio).
• Proven experience working within the FinOps domain in a large enterprise environment.
• Strong background in building and managing custom reports, dashboards, and financial insights.
• Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting.
• Solid knowledge of cloud provider pricing models, billing structures, and optimization strategies.
• Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies.
• Skilled in leveraging automation to drive operational efficiency in cloud cost management processes.
• Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences.
• Experience developing KPIs, scorecards, and metrics aligned with business goals and industry benchmarks.
• Ability to influence and drive change management initiatives that increase adoption and maturity of FinOps practices.
• Highly results-driven, detail-oriented, and goal-focused, with a passion for continuous improvement.
• Strong communicator and collaborative team player with a passion for mentoring and educating others.
• Strong proficiency in Python and SQL for data analysis, automation, and tool development, with demonstrated experience building production-grade scripts and applications.
• Hands-on development experience building automation solutions, APIs, or internal tools for cloud management or financial operations.
• Practical experience with GenAI technologies including prompt engineering, and integrating LLM APIs (OpenAI, Claude, Bedrock) into business workflows.
• Experience with Infrastructure as Code (Terraform etc.) and CI/CD pipelines for deploying FinOps automation and tooling.
• Familiarity with data visualization libraries (e.g. PowerBI ) and building interactive dashboards programmatically.
• Knowledge of ML/AI frameworks is a plus.
• Experience building chatbots or conversational AI interfaces for internal tooling is a plus.
• FinOps Certified Practitioner.
• AWS, Azure, or OCI cloud certifications are preferred.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

• Serve as a technical expert for Workday (primarily) and other HR business systems. 

• Oversee and maintain business process configuration, inbound and outbound integrations, and security

• Create and maintain advanced reports and web services to enable data-driven decision making across the enterprise, with end-user visibility both inside and outside of Workday
  
  
• Utilize Azure DevOps to coordinate and prioritize development efforts with the global team
  
  
• Understand HR work processes, and utilize LEAN or other process improvement methodologies to make processes more efficient
  
  
• Participate in periodic strategic planning exercises with the HR Operations Team to understand priorities and align the work efforts of key projects and working teams
  
  
• Participate in Agile development of Workday (our HRIS), working closely with the HR Operations team to prioritize and implement process improvements
  
  
• Provide leadership to other team members and stakeholders

• At least three years’ recent experience in HRIS or HR Operations
• Workday experience required, with a strong emphasis on security, reporting, and business process configuration. Need expertise on  Advanced compensation, absence, talent / performance experience and Microsoft Excel.
• Experience in Workday EIB (Enterprise Interface Builder) is a huge plus.

• Strong project management skills and attention to detail

• Experience with Agile development principle and methods, specifically with scrum and sprint
• Ability to build and maintain credibility by knowing the business and aligning HR systems support to the priorities of the business.
• Demonstrated ability to influence leaders, establish and maintain collaborative partnerships and provide thought leadership.
• Bachelor’s degree required

Designation: Nodejs /React Js Developer ( Mern Stack)

Yrs of Exp : 3 - 8 yrs

Location : Bangalore

Job Description

Experience with Node.js, NPM package ecosystem, and Node.js web frameworks such as Express.js

Experience of front-end technologies such as HTML5,ReactJs, Stylus, Less, and CSS3

AWS exp is required

Integration of multiple data sources and databases into one system.Knowledge of Mongo DB, API, caching layer, proxies, and other third-party tools.

Working exp on Graph QL, Apollo Client

Designation: Nodejs /React Js Developer ( Mern Stack)

Yrs of Exp : 3 - 8 yrs

Location : Bangalore

Job Description

Experience with Node.js, NPM package ecosystem, and Node.js web frameworks such as Express.js

Experience of front-end technologies such as HTML5,ReactJs, Stylus, Less, and CSS3

AWS exp is required

Integration of multiple data sources and databases into one system.Knowledge of Mongo DB, API, caching layer, proxies, and other third-party tools.

Working exp on Graph QL, Apollo Client

• Preferred Education & Experience:

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 5+ years of hands-on demonstrable experience with:
  ▪ Object Oriented Modeling, Design, & Programming
  ▪ Microservices Architecture, API Design, & Implementation
  ▪ Relational, Document, & Graph Data Modeling, Design, & Implementation

• Well-versed in and hands-on demonstrable experience with:
  ▪ Stream & Batch Big Data Pipeline Processing
  ▪ Distributed Cloud Native Computing
  ▪ Serverless Computing & Cloud Functions

• 5+ years of hands-on development experience in Java programming.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Spring Boot, Apache Camel, Akka, etc.;
  extra points if you can demonstrate your knowledge with working examples.
  2+ years of hands-on development experience in one or more Relational and NoSQL datastores such as Amazon S3, Amazon DocumentDB, Amazon Elasticsearch Service, Amazon Aurora, AWS DynamoDB, Amazon Athena, etc.

• 2+ years of hands-on development experience in one or more technologies such as Amazon Simple Queue Service, Amazon Kinesis, Apache Kafka, AWS Lambda, AWS Batch, AWS Glue, AWS Step Functions, Amazon API Gateway, etc.

• 2+ years of hands-on development experience in one or more technologies such as AWS Developer Tools, AWS Management & Governance, AWS Networking and Content Delivery, AWS Security, Identity, and Compliance, etc.

• Well-versed in Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

• Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed with Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

•  Experience : 5+Years

• Job Location : Remote/Pune

• Develop, design, and implement embedded applications.
• Prepares appropriate documentation as required by internal product development processes and regulatory agencies such as FDA and ISO.
• Write technical specifications for interfaces and testing.
• Design and develop medical device software products with extensive knowledge of technical principles, theories, and concepts in the Software Development field.
• Conducts and participates in the design, code, and test reviews and inspections, ensuring application of software engineering best practices, as well as the feasibility, efficacy, and compliance to functional and regulatory standards.
• Works closely with the software team, the software verification team, the functional manager, and the project manager.
• Collaborates with distributed, cross-functional teams to ensure products meet quality, performance, scalability, reliability, and schedule goals.
• Investigates software, hardware, and system problems using a variety of techniques and provides innovative solutions.
• Conduct and participate in reviews and inspections for all elements in the software lifecycle to ensure that our software quality and customer satisfaction goals are achieved

Qualifications

• Bachelor’s degree in Software or Electronics related Engineering discipline or related field with 6+ years of experience.
• Experience designing and developing embedded solutions.
• Proficient in programming languages - C, C++.
• Ability to understand the electrical schematics and work closely with the electrical team.
• Experience with Real-Time Operating Systems.
• Experience writing/interfacing with device drivers
• Experience with CAN, TCP/IP, RS232 communication protocols
• Experience in Agile development processes and philosophies.
• History of driving project execution and timely delivery while ensuring a quality focus.
• Ability to work in a fast-paced, and often ambiguous environment where continuous improvement is a way of life.
• Excellent teaming skills to work with cross-functional and in a multi-site software team

Preferred Qualifications:

• Experience with In Vitro Diagnostic domain is a plus.
• Experience with OOA/OOD development methodologies and design patterns a plus.
• Understanding software development processes for a regulated environment (ISO9000/FDA) a plus.
• Experience in medical device design & development a plus.

• Must have good exposure working in SOAR (Security, Orchestration, Automation, Response)
• Strong knowledge in End user/ point security.
• Good hands on Cyber security like SIEM, IAM, PAM.
• Sound Knowledge into automated incident management using Demisto (or similar technology)
• Hands on creating playbooks in Python Scripting.

• 2-5 years of experience in Manual and Automation testing for Cloud based Web and Mobile Application
• Experience with automation design, scripting, and execution
• An understanding of requirements analysis, design, coding, and unit testing of scalable, distributed, Cloud based applications
• Familiar with agile or other rapid application development
• Expertise in testing API's and debug application issues through API
• Exposure in Continuous integration process implementation by building CI / CD Pipeline using Jenkins and Integrate with Mavens
• Expertise of coding and programming skills in Java / Python
• Solid understanding of software design principles for Building Test Frameworks;
• Think out of the box coming up with creative test design automation frameworks to build / utilities plus tools to develop
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to work in a results-oriented, rapidly changing, dynamic and fast-paced environment that requires collaboration across multiple stakeholders and constituents