11+ SolarWinds Jobs in Pune | SolarWinds Job openings in Pune

Role & responsibilities

• Develop new Leads of Industries who can install solar
• Develop strong relationships with the different stakeholders in these industries
• Generate proposals, offers
• Conduct negotiations with prospective customers
• Close orders with prospective customers
• Work with the Products team to better mold the product as per the customers requirements
• Hand hold a customer in their transition to renewable energy

Preferred candidate profile

• Past work experience as a sales executive / manager in an EPC company / project developer
• First hand knowledge of Rooftop Solar
• Strong Industry connects to be able to work independently
• Bachelors Degree in associated field
• Comfortable with travelling over night to visit the site if required

Perks and benefits

• Pay above industry standards
• Very attractive Performance linked Bonus
• Attractive ESOPs
• 100% Ownership of the task
• Flexible, employee centric work culture
• Massive Growth Potential

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2.Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3.Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4.Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5.Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6.Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing

7.Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8.Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9.Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10.Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11.Mandatory (Age) - Candidate's Age should be below 37 years.

12.Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13.Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14.Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15.Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Role Summary

We’re seeking a seasoned Azure Data Engineer / Consultant to lead design, build, and operationalize cloud-native data solutions. You’ll partner with external clients—from discovery through Go-Live—to ingest, model, transform, and serve high-volume data using Synapse, Fabric, PySpark, and SQL. You’ll also establish best practices around CI/CD, security, and data quality within a medallion architecture.

Required Skills (at least 4+ years of relevant experience - this is a senior-level role)

• Ability to talk to the customer
• Manage the delivery of an End-To-End Enterprise project
• Fabric (or Synapse/ADF/Databricks) Data Engineering background
• Data Warehousing experience
• Basic understanding of Agentic AI

Preferred Skills & Certifications:

• DP-600, DP-700 or equivalent certification.
• Experience with Azure Purview, Data Catalogs, or metadata management tools.
• Familiarity with orchestration frameworks (ADF, Synapse Pipelines), Spark optimization (broadcast joins, partition pruning), and data-quality frameworks (Great Expectations, custom).
• Prior consulting or client-facing engagements in enterprise environments.
• Knowledge of BI tools (Power BI).

What We Offer:

• Opportunity to own and shape cutting-edge data solutions for diverse industries.
• Collaborative, outcome-driven culture with career growth and skill-building opportunities.
• Competitive compensation and benefits package.

If you love interacting with high-net worth people, and maintaining strong long-term relationships, this is the position for you!

The WH/TL is a dynamic professional with experience in Business Development, Portfolio Management & Client Relationship Management in the Financial Services sector. (S)he would be responsible for driving teams to exceed sales targets and client relationship management by delivering the best standards of services.(S)he would be helping the teams to establish strong ties with them by designing & implementing their financial plans; and then by ensuring that they receive and execute on the right advice. (S)he would be a business manager as he would be responsible for P&L of his team.

 Wealth Management, Financial Services, Broking

 Responsible for development and management of respective zone teams, comprising Team Leaders, RMS

Responsibilities:

 Handling a team of Wealth Managers and planning and achieving Sales Targets for Wealth Management products through the team by motivating, Inspiring and providing guidance to the team to keep the performance levels high

 Maintaining profitability targets by ensuring good IRR and cross sell

 Identifying streams for revenue growth & developing business plans to build consumer preference

 Responsible for creation a client base in direct equity by acquiring new Private Wealth / HNI Clients / Corporate clients by interacting & developing rapport with all external/internal constituents of client at all levels; for maximum client retention & achievement of revenues

 Monitoring client’s portfolio performance and rendering sustained advisory services for securing high ROI

 Proven track record of establishing systems/ procedures, thereby contributing in a major way towards augmented growth and profitability level

 Fulfilling the compliance standards in Financial Planning, Asset Allocation and Product Sales and managing Delinquencies by ensuring proper Sales Process

 Recruiting, training and ensuring seamless induction to the newly joined team members and managing attrition within the team

 To ensure achievement of acquisition ,activation and other Cross sell targets .To also ensure achievement of sub targets within acquisition with a special focus on Premium segment customers

 To ensure achievement of business and revenue targets attributed for the company.

 Conduct performance reviews for effective monitoring and measuring of results.

Qualifications: Graduate/ MBA/PGDM in Finance

We are seeking a new Graphic Designer to join our team. You will be designing a wide variety of things across digital and offline media. To be successful in this position, you’ll be a self-starter, capable of delivering brilliant creative ideas, and show amazing attention to detail.

Roles & Responsibilities:

1.Must have various technical skills of web design tools such as WordPress, HTML & CSS etc. as well as mastery in designing software such as Adobe Photoshop, Corel Draw, Illustrator & Canva.

2.Must have excellent knowledge in the field of typography, UI/UX knowledge, print design & branding.

3.Should be really creative & be able to make multiple posts, newsletters, designs, logos etc without being repetitive in the design & color scheme etc & should be well aware of the latest design trends.

4.Should be able to make great PowerPoint presentations & web designs for Western audience.

5.Should be able to showcase our brand to a western audience.

6.Should be able to respond well to suggestions. 

7.Should be able to make changes that are instructed quickly & with minimum instructions & supervision.

8.Should be able to juggle multiple projects & meet deadlines.

9.Should have attention to detail & be able to produce error-free work & spellings.

10.Should have a good portfolio.

11.Should have good Communication Skills & be Detail-oriented.

12.Should have worked with Western customers, especially North

America & West Europe or Western Brands.

13.Some experience with a good Advertising agency would be great.

14.Effective time management skills and the ability to meet deadlines.

15.Able to give and receive constructive criticism.