
Mainframe developer
CICS
VSAM
COBOL
DB2, online Batch, Development exp needed (not into support/maintance/ enhancement)

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We are looking for, Java Full stack Developer
Relevant Experience (In years): 4+ Years
Job Location: Mumbai
Skill: Java 8+, Spring Boot, Spring MVC, Angular JS, JSP, Servlet, JPA/Hibernate, REST Web service, SOAP web service, JQuery, Ajax, HTML5, CSS3, Java Script, JSON, Junit, MySQL, SVN/GIT,Genkins.
Role Category: Software Development
Education: BE / BTech in Any Specialization, MCA
Desired Competencies (Technical / Behavioral Competency)
- Has experience working on backend technologies Spring MVC, Spring Boot, and Spring JPA.
- Has experience working on Frontend technologies Angular, CSS, HTML, and JavaScript / JQuery
- Hands-on experience of MYSQL Database.
- Knowledge of containerization tools like Docker and Kubernetes.
- Good verbal and written communication and collaboration skills to effectively communicate with both business and technical teams.
- Comfortable working in a fast-paced, result-oriented environment.
- Able to understand the requirement quickly and efficiently, should be able to work independently.
- Significant Java Programming experience (in J2EE).
- Should be able to work with Agile Sprint and Scrum methodology.
- Should be able to understand the requirements clearly and document the same whenever required.
- Able to write reusable and scalable components and to build product aligned to platform architecture.
- Follow coding guidelines and write efficient code.
- Perform unit testing and preparation of unit test cases effectively.
- Explore new technologies and carryout POCs
- Willingness to explore and innovate new ideas with team members and appreciate individual inputs/ strengths
- To support product and team with positive attitude and full dedication.
Job Type: Full-time
Experience:
- Java: 4 years (Required)
- Spring Boot: 4 years (Required)
Work Location: In person
We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.
The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.
Must have skills & Qualifications:
- 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
- Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
- Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
- Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
- Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
- Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
- Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
- Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
- Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
- Experience with feature engineering pipelines and Feature Store management.
- Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
- Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
- Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
- Strong foundation in Python and cloud-native development patterns.
- Solid understanding of security best practices, IAM, secrets management, and artifact governance.
Good to have skills:
- Experience with vector databases, RAG pipelines, or multi-agent AI systems.
- Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
- Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
- Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
- Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
- Ability to translate business goals into scalable AI/ML platform designs.
- Strong communication and cross-team collaboration skills.
- Ability to guide engineering teams through technical uncertainty and design choices.
Key Responsibilities:
- Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
- Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
- Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
- Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
- Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
- Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
- Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
- Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
- Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
- Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices.
Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.
YOU WILL:
- Plan for future infrastructure as well as maintain & optimize the existing infrastructure.
- Conceptualize, architect, and build:
- 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
- 2. Infrastructure using Docker, Kubernetes, and other serverless platforms;
- 3. Secured network utilizing VPCs with inputs from the security team.
- Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
- Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments.
- Triage release of applications/ Hotfixes to the production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
- Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
- Scale Electum platform to handle millions of requests concurrently.
- Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery
PREREQUISITES:
- Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
- Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
- At least 2 years of experience in building and owning serverless infrastructure.
- At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
- Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
- Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have prior experience automating deployments to production and lower environments.
- Worked on providing solutions for major automation with scripts or infrastructure.
- Experience with APM tools such as DataDog and log management tools.
- Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Experience establishing and enforcing:
- 1. System monitoring tools and standards
- 2. Risk Assessment policies and standards
- 3. Escalation policies and standards
- Excellent DevOps engineering, team management, and collaboration skills.
- Advanced knowledge of programming languages such as Python and writing code and scripts.
- Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.
We are looking for a Content enthusiast to join our fast-growing EdTech brand. You will assist in creating, managing and improving content for various marketing channels. You will work on assets that create sales conversions, website, mobile app, direct user communications, and engagement campaigns and will analyze the performance of those assets in detail, crunch the numbers, and optimize them.
Our ideal candidate is a driven professional with demonstrable creative writing skills and also has a knack for data analysis. You should have the willingness to broaden your expertise and go the extra mile. As a content manager for a fast-paced EdTech brand, you should be tech-savvy, a critical thinker and problem-solver, and demonstrate a passion for growth and success.
Ultimately, you should be able to assist in overseeing all marketing content to ensure sales conversions, brand consistency, and a positive customer experience.
Responsibilities
- Work alongside copywriters, UI/UX designers, graphic designers, and team members from other departments to create and deliver assets
- Manage content distribution to online and offline channels
- Proofread, edit and improve content created by copywriters and ensure brand consistency
- Develop a thorough understanding of conversion optimization and apply it across our brands, platforms, and channels
- Analyze performance data and find creative ways for optimization
- Ensure compliance (e.g. copyright and data protection)
Requirements
- Excellent writing skills
- Good command on English and Hindi
- Good organizational and time-management skills
- Ability to multi-task and follow deadlines
- Willingness to learn skills outside of comfort zone
- Not afraid of challenges and hard work
- Reliable team player with a sense of ownership
- Attention to detail
- Willingness to grow in a fast-paced environment
- Ability to take initiative
- Hands-on experience with MS Office, particularly Excel
Impeccable English, good communication skills, a humble and cooperative attitude, and lots of hard work are the other expectations of the firm.
We are a hardcore, fast-growth-focused environment and a place where only dedicated, stable, dependable individuals who are willing to immerse themselves completely in this cause can thrive.
This is a full-time work-from-office role based out of Gurgaon.
If you're extremely driven to succeed and grow and willing to go the distance, please apply.
Company
Egregore Labs (http://www.egregorelabs.com/" target="_blank">www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.
Opportunity
We are looking for an experienced fullstack engineer with front-end development experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.
Here’s are some of the things you might have to do on any given day:
- Implement responsive and performant UIs with user centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
- Build back-end REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
- Write meaningful test cases for frontend & backend platforms
- Integrate our products with 3rd party products/tools/services
- Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc
Ideal Background / Experience
- At least 24 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
- Expertise in programming using Python/Javascript or similar scripting languages
- In-depth exposure to technologies used in web-based SaaS products, including REST APIs
- Sound understanding of Postgres and NoSQL databases such as MongoDB
Nice to have exposure to any of
- AWS
- Azure
- ELK
- Object Relational Models (SQLAlchemy, etc)
- Google APIs
- Microservices Architecture Pattern
- NodeJS / ExpressJS
Desirables
We are looking for a person who has
Resourcefulness - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.
Ownership - We like to be directive and not prescriptive in our management. We’d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.
Work Ethic - We’ve grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers.
Execution Focus - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly.
What else you need to know
We are an early stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi based and work 6 days a week. We operate in a Python environment.
This candidate will be responsible for the development, implementation, maintenance, and improvement of quality assurance processes. Throughout the implementation and maintenance process, this candidate should use data analysis to better understand quality reporting measures and improve processes.
Bachelor's degree in Software Engineering, Computer Science, Information Technology, or a related field
- Previous work experience as a QA Engineer, QA Tester, or relevant position in the IT department
- Knowledge of programming languages like JavaScript or JAVA
- knowledge of scripting and other related procedures like DOM structure
- Expertise in automation testing tools like Selenium or Protractor
- Understanding of testing protocols
- Know-how of different types of testing methods like white box and black box testing
- Familiarity with the software development process
- Good analytical and troubleshooting skills
- Attention to detail
- Ability to work collaboratively
- Good time management and organizational skills
Why work for Flowace?
- Opportunity to grow the product 100x as the product is of world-class standards
- Freedom and flexibility to be a real leader, to ideate and implement strategies in real-time, without wasting time waiting for approvals
- Very healthy work environment and work-life balance
- Extremely collaborative and helpful team members to work with
- Employee engagement programs such as Fun Fridays, Wellness, and Community Building
- 5 days of hungry hustling and 2 days of absolute rejuvenation every week
- Once the DNA of Flowace goes into the blood, it will serve the candidate very well for his/her entire career and life, irrespective of how long he/she works at Flowace
CTC Up to - 7 LPA
Thanks & regards,
Nandini Jain
Senior HR Executive - Flowace
Responsibilities:
- Write effective, scalable code
- Develop Connectors tool GUI for various source and target systems/platform/products
- Test, debug, build and deploy UI components in the existing product
- Improve functionality of existing SDK/Frameworks
- JavaScript
- ReactJS
- Redux-Saga
- ES6 (or TypeScript) syntax
- Good problem-solving
- Good debugging
Good to Have:
- TypeScript experience
- Material UI experience
- JEST knowledge
- Git and Github/Gitlab/Bitbucket experience
Benifits
Support for Continuous learning
Competetive Salary
Quarterly webinars and Annual conferences
- To appoint Block Sales Manager in their respective Districts.
- To manage sales operations in assigned district to achieve revenue goals.
- To supervise sales team members on daily basis and provide guidance whenever needed.
- To identify skill gaps and conduct trainings to sales team.








