11+ OFSAA Jobs in Bangalore (Bengaluru) | OFSAA Job openings in Bangalore (Bengaluru)

• 15+ years of Experience in OFSAA Financial Solution Data Foundation and OFSAA Regulatory reporting solutions
• Expert in enterprise solution architecture and design
• Strong understanding in the OFSAA Data Model, Dimension Management and Enterprise Data Warehouse Knowledge.
• Strong Understanding of OFSAA instrument balances reconciliation with General Ledger Summary Level balances
• Experience in defining and build the OFSAA data architecture and sourcing strategy to ensure data accuracy, integrity and quality.
• Understanding of Banking treasury products, US Fed regulatory etc.
• Strong understanding of data lineage. building
• Strong in OFSAA Data Management Tools Knowledge (F2T/T2T/PLT/SCD’s).
• Experience in Business rules configurations in OFSAA framework
• Strong Experience in deploying OFSAA platform (OFSAAI – OFSAA Infrastructure) and installation of OFSAA application - preferably OFSAA 8.x onwards.

Strong hands-on experience with Adobe Workfront.

Workfront configuration and administration.

Workflows, approval processes, templates, queues, reports, and dashboards.

Custom Forms and Custom Fields.

Strong understanding of Workfront data model and project/work management processes.

Hands-on experience with Workfront Fusion.

Experience with REST APIs, webhooks, JSON, HTTP methods, and integrations.

Experience integrating Workfront with third-party enterprise applications.

Knowledge of automation and iPaaS concepts.

Good understanding of data mapping, transformations, error handling, and integration monitoring.

Knowledge of JavaScript or scripting is an advantage.

Are you looking for a super-challenging role designing backend systems that scale to 1000+ TPSs in one of India's fastest growing, profitable near-Unicorns with businesses spanning Lending, E-comm and UPI? Then this is the role for you.

Client Company is a profitable, rapidly scaling unicorn which is extremely well capitalized. Client has a very strong moat in the consumer lending space on the back of which it is entering into additional large markets such as E-comm and UPI.

Client company is now entering its next phase of growth from a fast-scaling startup to a robust, high-scale financial platform serving millions of users daily.

You'll design systems built for 10x100x growth, make the key technical trade-off calls, and stay deeply hands-on. Beyond building, you'll mentor engineers and work directly with founders and product teams to translate business goals into scalable, reliable systems.

This role is an opportunity to:

• Shape the next-generation architecture for a high-throughput fintech system
• Build systems designed to scale 10x100x from current volumes
• Solve real-world problems across performance, reliability, and financial-grade security

Responsibilities

• Design and evolve the platform architecture to support 10x100x growth
• Own systems end-to-end from the first design decision to production impact
• Lead system design discussions and set the long-term technical direction for the platform
• Identify scale bottlenecks early and drive solutions
• Mentor and elevate engineers through design reviews, code quality, and architectural thinking
• Partner directly with founders and product teams to turn business priorities into scalable systems
• Operate with high ownership in a fast-paced environment where priorities evolve quickly
• Drive projects independently own timelines, coordinate with teams, and see delivery
• Conduct rigorous code reviews and champion engineering best practices across the team
• Proactively identify gaps in the system and come up with concrete approaches to address them
• Solve technical problems across the company not just confined to a single pod
• Challenge existing architecture with data and reasoning push back when its the right call, and drive adoption of better approaches.

Requirements

• 7-12 years of experience in backend or platform engineering
• Strong computer science fundamentals (preferably from IIT, BITS, NITs)
• Strong proficiency in backend development (Node.js, Java, Go, or equivalent)
• Proven experience scaling systems through high-growth startup phases (1→10 or beyond)
• Track record of building and owning critical platforms or systems from scratch
• Exposure to high-volume transactional systems; fintech or lending is a strong plus
• Bias for action - moves fast, makes sound decisions, owns outcomes end-to-end
• Comfortable navigating ambiguity and evolving priorities in a startup environment
• Strong problem-solving skills ability to break down complex technical challenges and arrive at pragmatic, well-reasoned solutions
• Hands-on experience with platform engineering developer tooling, shared services, infrastructure abstractions, or internal platforms

Role: Sales Development Representative (SDR)

Experience Required: 1–5 years

Work Location: Bangalore (Onsite)

About the Role

We are looking for a high-energy, research-driven, and results-oriented Sales Development Representative (SDR) to build a qualified sales pipeline through outbound prospecting and lead qualification.

The role involves identifying target accounts, engaging decision-makers, understanding their business and technology needs, qualifying opportunities, and scheduling qualified meetings for the Account Executive team.

Key Responsibilities

Prospecting & Outreach

• Research target accounts and identify decision-makers across startups, ISVs, mid-market, and enterprise segments.
• Execute personalized outreach through cold calls, email, LinkedIn, WhatsApp, and other channels.
• Build and manage prospect lists using tools such as LinkedIn Sales Navigator, Apollo, Clay, and CRM platforms.
• Follow structured outreach cadences and continuously improve messaging.

Lead Qualification & Pipeline

• Conduct initial discovery conversations and identify customer challenges and technology initiatives.
• Qualify opportunities around Cloud, DevOps, Managed Services, Security, Data & AI, and Generative AI.
• Schedule qualified meetings for Account Executives with clear discovery and handover notes.
• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.

CRM & Collaboration

• Maintain accurate CRM records, lead status, follow-ups, and qualification notes.
• Collaborate with Sales, Marketing, Presales, and AWS Partner teams.
• Share customer insights, objections, and market feedback.

Required Skills

• 1–5 years of experience in SDR/BDR, inside sales, or B2B technology sales.
• Experience in IT Services, Cloud, SaaS, or Technology Services is preferred.
• Strong communication, research, cold-calling, and objection-handling skills.
• Ability to engage technology decision-makers and build meaningful conversations.
• High ownership, resilience, organization, and target orientation.

Good to Have

• Experience with Apollo, Clay, HubSpot, Salesloft, Outreach, or LinkedIn Sales Navigator.
• Understanding of Cloud, AWS, DevOps, AI, Cybersecurity, or Managed Services.
• AWS Cloud Practitioner certification or willingness to pursue it.

About Comprinno

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–8 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

Review Criteria:

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Must have strong experience in working on Typescript
• Must have experience in message-based systems like Kafka, RabbitMq, Redis
• Databases - PostgreSQL & NoSQL databases like MongoDB
• Product Companies Only
• Tier 1 Engineering Institutes preferred (IIT, NIT, BITS, IIIT, DTU or equivalent)

Preferred:

• Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Experience in mentoring, coaching the team.

Role & Responsibilities:

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate:

• Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
• Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
• Experience with AWS services such as S3, IAM, Lambda etc.
• Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
• Eye for user responsive designs on the frontend.

smartShift Technologies is looking for a seasoned Database Administrator - Oracle to join our Bangalore team.

 Responsibilities

• Perform regular Database administration tasks.
• Perform HA and DR setup maintenance tasks
• Analyze the performance metrics and provide tuning recommendations
• Analyze the repetitive support requests and provide the automation feasibility
• Handle incidents and problems
• Perform trend analysis of the incidents/events and help in finding the resolution

 Skills & Experience

• Strong experience in Database Administration  in Oracle database 
• Have strong knowledge on Oracle SQL and PL/SQL 
• Expertise in writing and analysing Stored procedure , packages and triggers. 
• Exposure to AWS Cloud RDS is required
• Experience in Database Patching/Upgrade/Migrations
• Experience in managing the HA and DR setups ( Standby, DataGuard)
• Experience in performance tuning ,query optimisation
• Experience with client interaction is preferred
• Exposure to other MySQL database is preferred
• Excellent written and verbal communication skills. 
• Real time experience in DB administration (Installation/Tablespace Management/Object Management
• Expertise in RMAN and other backup(Expdp/Impdp) methodology implementations
• Experience in Database Patching/Upgrade/Migrations
• Knowledge on GoldenGate is desirable
• Knowledge on Oracle 12C/19C new features
• Experience with client interaction is preferred
• Knowledge on RAC & ASM is desirable
• Exposure to AWS Cloud is desirable
• Excellent written and verbal communication skills