Since 1988 Quicken has been the top personal management software for millions of consumers. We pioneered a radically easier and faster way for people to manage their household finances. Since then we’ve continued to focus on delighting customers and making the Quicken product and experience better than ever.
Job Title: Senior Data Engineer
Location: Bangalore, India
Department: Product Development
Quicken is the #1 personal finance management software with a 30-year heritage of helping millions of individuals and families stay on top of their finances. We are working on a strategy to deliver awesome personal finance experience to our customers across Windows, Mac, iOS, Android, and Web.
The successful candidate will join a fast-paced software development team building the next generation of Quicken Data Platform. The team uses the latest software development technology and tools.
If you are looking to be part of a high-performing team at the heart of a fun, energetic, and innovative company, come join the Quicken Team!
Responsibilities:
This is an opportunity to be a highly visible and key contributor on a small and passionate team delivering innovative data platform solutions across the company. You’ll help shape and deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success and growth.
- Senior Data Engineer role is a technical hands-on role. The responsibilities range from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
- Implement, or operate comprehensive data platform components to balance optimization of data access with batch loading and resource utilization factors, per customer requirements.
- Develop robust data platform components for sourcing, loading, transformation, and extracting data from various sources.
- Build metadata processes and frameworks.
- Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
- Maintain standards, such as organization, structure, or nomenclature, for data platform elements, such as data architectures, pipelines, frameworks, models, tools, and databases.
- Implement business rules via scripts, middleware, or other technologies.
- Map data between source systems and data lake
- Ability to be independent and product high quality code on components related to the Data Platform. Should also possess Creativity, Responsibility, and Autonomy.
- Participate in the planning, design, and implementation of features, working with small teams that consist of engineers, product managers, and marketing.
- Demonstrate strong technical talent throughout the organization and engineer products that meet future scalability, performance, security, and quality goals while maintaining a cohesive user experience across different components and products.
- Adopt and share best practices of software development methodology and frameworks used in data platform.
- Passion for continuous learning, experimenting and applying cutting edge technology and software paradigms. Also responsible for fostering this culture across the team.
Qualifications:
- 3+ years of hands-on experience with data platform technologies and tools
- Extensive experience in Python
- Should be comfortable with using REST APIs
- Experience in at least 2 of the 3 stages of any big data pipeline - data
ingestion/acquisition, data processing/transformation and data visualization
- Experience in database user interface and query software - Structured query language (SQL)
- Experience in one or more structured DBMS along with data modelling – MySQL
- Nice to have working experience in big data processing frameworks like Spark
- Nice to have working knowledge on visualization tools like Tableau, Kibana, Amazon QuickSight
- Nice to have familiarity in AWS EMR, Kinesis, EC2, S3, AWS Glue
- Experience working with geographically distributed teams across different time zones
- Strong communication skills, both oral and written whether in-person or virtual
- Experience with Agile methodologies
- Bachelor’s degree in computer science or other technical discipline, or equivalent experience
What we offer:
- Competitive salary and performance bonus
- Amazing culture, strong believers in Autonomy/Mastery/Purpose
- Customer-driven, we make money by building the best products for our users. No confusion about how to win – build amazing products!
- Ability to work with and learn from some incredible talent
- Highly recognizable brand

About Quicken Inc
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From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.
With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.
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This role is intended for an experienced engineer with 7–10 years of Frontend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.
The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.
Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.
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Requirements
Must-Have
- 7-10 years of frontend engineering experience
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- Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
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Nice-to-Have
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DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
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- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
About the role:
We are looking for a skilled and driven Security Engineer to join our growing security team. This role requires a hands-on professional who can evaluate and strengthen the security posture of our
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The ideal candidate will also lead technical triage from our bug bounty program, integrate security into the DevOps lifecycle, and contribute to building a security-first engineering culture.
Required Skills & Experience:
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● Experience with DevSecOps tools and integrating security into CI/CD
● Strong knowledge of cloud platforms (AWS/GCP/Azure) and their security models
● Familiarity with bug bounty programs and responsible disclosure practices
● Familiarity with tools like Burp Suite, MobSF, OWASP ZAP, Terraform, Checkov..etc
● Good knowledge of API security
● Scripting experience (Python, Bash, or similar) for automation tasks
Preferred Qualifications:
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● Experience working in a regulated environment (e.g., FinTech, InsurTech)
Responsibilities:
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Android, iOS, and API endpoints
● Perform Threat Modelling & anticipate potential attack vectors and improve security
architecture on complex or cross-functional components
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● Integrate SAST, DAST, SCA, and secret scanning tools into CI/CD pipelines
● Automate security checks using tools like SonarQube, Snyk, Trivy, etc.
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● Perform security assessments of AWS, Azure, and GCP environments, with an emphasis
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● Triage bug bounty reports and coordinate remediation with engineering teams
● Act as the primary responder for external security disclosures
● Maintain documentation and metrics related to bug bounty and penetration testing
activities
● Collaborate with developers and architects to ensure secure design decisions
● Lead security design reviews for new features and products
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Job Summary
We are looking for a Senior SDET with strong expertise in test automation for modern web and backend systems. The ideal candidate should have hands-on experience in frontend, backend, and API automation, along with exposure to distributed systems and cloud-native environments. Golang experience is preferred, though Java candidates willing to learn Golang are welcome.
Key Responsibilities
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- Perform frontend automation using Playwright and Selenium
- Develop and execute API automation tests to validate backend services
- Collaborate with developers to understand system architecture and service interactions
- Ensure test coverage across microservices and distributed systems
- Debug and analyze failures across multiple services and environments
- Integrate automated tests into CI/CD pipelines
- Work closely with DevOps teams to validate deployments in containerized environments
Mandatory Skill Set
- Programming Language: Golang (preferred) or Java (must be willing to learn Golang)
- Frontend Automation: Playwright
- UI Automation: Selenium
- Backend Automation: Strong understanding of backend testing concepts
- API Testing: Hands-on experience with Rest Assured or similar tools
- Strong understanding of API concepts and terminology
- Experience working with distributed systems and microservices
- Containerization: Docker
- Orchestration: Kubernetes
- Experience with CI/CD pipelines
- Strong debugging and problem-solving skills across services
Good to Have
- Experience in cloud environments
- Exposure to performance or security testing
- Knowledge of test data management and mocking frameworks
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Role Description
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Exp: 3 - 6 years of experience in cloud principles, migration and methodologies
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Looking for candidates with lesser notice period.
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Strategic role in migrating and deploying all cloud systems including the front-end
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