Category Head - Event Ancillary Services

Position Title : Senior Database Administrator (DBA)

📍 Location : Bangalore (Near Silk Board)

🏢 Work Mode : Onsite, 5 Days a Week

💼 Experience : 6+ Years

⏱️ Notice Period : Immediate to 1 Month

Job Summary :

We’re looking for an experienced Senior DBA to manage and optimize databases like MySQL, MongoDB, PostgreSQL, Oracle, and Redis. You’ll ensure performance, security, and availability of databases across our systems and work closely with engineering teams for support and improvement.

Key Responsibilities :

• Manage and maintain MySQL, MongoDB, PostgreSQL, Oracle, and Redis databases.
• Handle backups, restores, upgrades, and replication.
• Optimize query performance and troubleshoot issues.
• Ensure database security and access control.
• Work on disaster recovery and high availability.
• Support development teams with schema design and tuning.
• Automate tasks using scripting (Python, Bash, etc.).
• Collaborate with DevOps and Cloud (AWS) teams.

Must-Have Skills :

• 6+ Years as a DBA in production environments.
• Strong hands-on with MySQL, MongoDB, PostgreSQL, Oracle, Redis.
• Performance tuning and query optimization.
• Backup/recovery and disaster recovery planning.
• Experience with AWS (RDS/EC2).
• Scripting knowledge (Python/Bash).
• Good understanding of database security.

Good to Have :

• Experience with MSSQL.
• Knowledge of tools like pgAdmin, Compass, Workbench.
• Database certifications.

Proficient in React, JavaScript (ES6+), and TypeScript. ● Expertise in state management libraries (Redux, Zustand, etc.). ● Hands-on experience with react-navigation and deep linking. ● Solid understanding of Expo (both managed and bare workflows). ● Knowledge of native development (Swift/Objective-C for iOS, Java/Kotlin for Android). ● Experience with custom native module bridging and native UI integration. ● Strong debugging skills using tools like Flipper and Chrome DevTools. ● Familiarity with Jest, React Native Testing Library. ● Experience with REST APIs, GraphQL, and real-time data (WebSockets). ● Ability to manage OTA updates with EAS Update and configure EAS Build. ● Experience in app publishing and release lifecycle on both Play Store and App Store. ● Knowledge of secure storage, token handling, and app-level security practices.

About us:

Hiver offers teams the simplest way to offer outstanding and personalized customer service. As a customer service solution built on Gmail, Hiver is intuitive, super easy to learn, and delightful to use. Hiver is used by thousands of teams at some of the best-known companies in the world to provide attentive, empathetic, and human service to their customers at scale. We’re a top-rated product on G2 and rank very highly on customer satisfaction.

At Hiver, we obsess about being world-class at everything we do. Our product is loved by our customers, our content engages a very wide audience, our customer service is one of the highest rated in the industry, and our sales team is as driven about doing right by our customers as they are by hitting their numbers. We’re profitably run and are backed by notable investors. K1 Capital led our most recent round of $27 million. Before that, we raised from Kalaari Capital, Kae Capital, and Citrix Startup Accelerator.

Opportunity:

As a Senior Staff Engineer at Hiver, you will play a pivotal role in shaping the future of our platform and technology landscape. You will operate as a senior technical leader — driving architectural strategy, establishing engineering excellence across teams, and influencing product direction at scale.

Hiver processes over 5 million emails daily for thousands of active users — and as we continue to grow rapidly, you’ll lead efforts to build highly scalable, intelligent, and resilient systems that power this growth. This is a hands-on and strategic role where you will architect complex systems, mentor other Staff Engineers and Technical Leads, and champion technical innovation across the company.

What you will be working on?

Strategic Technical Leadership

• Define and evolve Hiver’s technical architecture and long-term technology roadmap in alignment with business strategy.
• Lead architectural design reviews and ensure coherent technical direction across multiple product and platform teams.
• Partner with senior leadership across all functions to make strategic build vs. buy, scale vs. optimize, and AI adoption decisions.
• Drive technical vision-setting for next-generation AI-driven capabilities across the product suite.

AI and Systems Architecture

• Design and scale advanced Generative AI and Machine Learning solutions integrated with Hiver’s core workflows.
• Build frameworks to improve system scalability, resilience, and observability for high-throughput email and data processing.
• Ensure architectural decisions are guided by performance, maintainability, and cost efficiency principles

Engineering Excellence & Mentorship

• Set and enforce engineering-wide standards for system design, code quality, and technical documentation.
• Mentor and coach Staff Engineers, Tech Leads, and Senior Engineers, helping them grow as system thinkers and problem solvers.
• Act as the final technical reviewer for complex or high-risk projects, reducing uncertainty and ensuring timely delivery.
• Build a culture of engineering excellence that values clarity, simplicity, and accountability.

Cross-Functional Influence

• Collaborate closely with Product, Data, and Design teams to translate business goals into technically feasible and scalable solutions.
• Drive consensus and alignment on key architectural trade-offs across multiple teams and stakeholders.
• Lead post-incident reviews and proactively drive initiatives that improve system reliability and developer productivity.

Innovation & Technical Thought Leadership

• Champion emerging technologies — AI, automation, data analytics — to create business leverage.
• Promote a culture of continuous innovation, experimentation, and learning within engineering.
• Represent Hiver’s engineering excellence in external forums, conferences, and open-source communities.

What we are looking for?

• 12+ years of total experience in software engineering with at least 5+ years in architecture or technical leadership roles.
• 3+ years of experience leading Staff-level in large-scale distributed systems.
• Extensive expertise in AI/ML (including Generative AI), with a deep understanding of model lifecycle management and deployment.
• Proven experience architecting high-availability, large-scale SaaS platforms in cloud environments (AWS, GCP or Azure).
• Strong foundation in Python or Java, object-oriented design, and system performance optimization.
• Advanced understanding of distributed systems, data architecture, and event-driven design patterns.
• Experience managing technical strategy and decision-making across multiple teams or product areas.
• Demonstrated ability to navigate ambiguity, build consensus, and influence without direct authority.
• Passion for mentoring and developing senior engineering talent and shaping engineering culture at scale.

Role Overview

We are seeking an experienced Manager - Quality Control with 5-10 years of experience in brand jewelry

manufacturing. The ideal candidate will have a strong technical background, people management skills, and

direct experience handling customer interactions. This role demands a thorough understanding of jewelry

processes, quality control methodologies, and technical specifications.

Location: Andheri East, Chakala, SEEPZ

Compensation: ₹15 to ₹18 LPA

Day to Day-Key Responsibilities

 Lead and manage the quality control department, ensuring all jewelry production meets the highest

standards.

 Oversee customer interactions for the past 5 years, managing client expectations and addressing

quality concerns directly.

 Apply Quality Control (QC) tools to monitor and improve the production process.

 Ensure compliance with jewelry specifications, including the use of CAD models, CAM, and four-

view designs for accurate product realization.

 Supervise the entire jewelry manufacturing process, including setting tools, polishing, buffing, filing,

and other related activities.

 Identify and address rework and rejection areas in production and prepare Corrective and Preventive

Action (CAPA) plans.

 Train and mentor team members in QC tools and methodologies.

 Work collaboratively with production, design, and customer service teams to ensure all jewelry

products meet design specifications and customer requirements.

Qualifications

 Engineering Graduate or equivalent qualifications in a related field.

 5-10 years of experience in brand jewelry manufacturing, with a strong background in Quality Control.

 Proven experience handling customer interactions in the last 5 years.

 Certification or training in Quality Control tools is preferred.

 Strong understanding of the mechanicals, CAD/CAM, and specifications of jewelry designs.

 Expertise in all jewelry production processes, including setting, polishing, filing, and tool usage.

 Excellent communication and people management skills.

Skills & Competencies:

 Proficient in CAD/CAM software and able to interpret technical design specifications.

 Strong problem-solving abilities with a focus on quality improvement and process optimization.

 Able to lead and motivate teams effectively.

 Capable of preparing and implementing CAPA plans to minimize product rework and rejection.

• Create and lead innovative programs, software, and analytics that drive improvements to the availability, scalability, efficiency, and latency of the application
• Work with Directors to define and execute technical strategy and arbitrate technical processes and decisions.
• Work with development teams to guide future technology choices and foster cross-team collaboration
• Work across all teams to help define and clarify requirements, explore technical feasibility, and help define product directions and plans.
• Work closely with product & engineering leaders and tech leads to turn requirements into actionable plans that teams can understand.
• Define, Refine & Develop POCs in quick turnaround time and demonstrate the same to all stakeholders effortlessly
• Embed with teams from time to time to write code, provide technical guidance, etc.
• Very deep knowledge of the entire tech stack. Excellent understanding of the entire SDLC.
• Provides a multiplier effect in getting stuff done.
• Acts as SME for the team or product area within the Engineering organization and for cross-functional organizations as well.
• Teaches others why new features are important. Good understanding of customer use cases.

• A Bachelor's degree in any technical discipline
• Minimum 5 years of experience administering AEM applications
• Build management using Bamboo/Jenkins or relevant tech
• Configuration and Release management
• Design and build enablement
• Good communication skills

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.