Principal Software Engineer / SSE

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.

• Proven record of designing and delivering complex networking products from inception to production delivery. 
• Previous experience developing quality software for commercial products.
• Experience with communication systems involving wireless, radio, security and mesh networking technologies is a plus.
• Ability to work in a small team on fast paced projects that have tight deadlines
• Experience using Agile/Scrum methodologies.
• Seeking 10+ years software development experience
• Experience with Embedded real-time systems
• Must be an excellent SW developer. We expect experience developing software C/C++ in Linux. Python and other scripting languages is a plus.
• Target hardware includes Embedded CPU, DSP, and ARM environments
• Experience with Linux development infrastructure, tool chain and build environment.
• Experience developing both Linux device drivers and application software; installing Linux software and configuring embedded Linux systems
• Experience with OSI networking protocols and applications
• Experience and knowledge of Board Support package (BSP) development including board bring up, tool chain creation, and firmware/diagnostics support
• Experience with system development tools, including Source-Level Debuggers, Logic Analyzers, Oscilloscopes, Code Analysis tools, etc.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

About the role: 

· Understand the project test requirements.

· Execute and evaluate automated test cases/suites and report test results to ensure that system functionality satisfies acceptance criteria.

· Create and maintain automation scripts using the Robot Framework

· Help create acceptance criteria for user stories.

· Log bug reports based on test execution.

· Collaborate with the development team to prioritize test scenarios.

· Collaborate with the development team to perform root cause analysis.

· Other duties assigned.

Position Requirements:

Essential Skills:

· Knowledgeable in Software Automation using Robot Framework

· Knowledgeable in API testing (Postman)

· Experience working in an Agile environment using Scrum or Kanban

· Proficiency in scripting and programming languages (Python preferred)

· Experience with REST API testing and the relevant testing tools.

· Understanding the differences between JSON, YAML, and XML.

· Experienced with CI/CD.

· Experience testing web applications and different types of testing approaches and test environments.

· Experience in test risk management.

· Experience in using GIT repositories would be great.

· A passion for software product quality assurance with a positive mindset and good communication skills.

· Keen eye for detail.

Good to Have

· ISTQB foundation level certification

· Familiar with other automation testing tools like Selenium and Katalon Studio

· Suggest / make framework improvements to accommodate the scripting needs

· Implemented automation framework using Behavior-Driven Development (BDD) approach

· Familiarity with the Test Pyramid would be great.

· Experience working with JIRA

Non-technical requirements:

● You are available to join us in our Bangalore office from Day 1.

● You have strong communication skills.

● You have strong analytical skills.

● You are customer friendly and service minded.

● You are a team player.

• Strong programming skills in Javascript/TypeScript, Python or Go.
• Hands-on experience in API development and frameworks such Express, Loopback, Hapi.
• Good Understanding of SQL and NoSQL database.
• Experience in test driven development. (writing unit test and API test).
• Understanding of basic cloud computing concepts and experience in using any of the major cloud service providers(AWS/GCP/Azure).
• Ability to build and deploy the application in a containerized environment.
• Understanding of application logging and monitoring systems like Prometheus or Kibana.

Qualification: 

• B.E/B.Tech/M.E./M.Tech/M.S. from a reputed university with a good academic record.
• Curiosity to explore the cutting edge technologies and bake them in the products.
• Zeal and drive to take end to end ownership.

We are looking for a React Native developer interested in building mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

• Leverage native APIs for deep integrations with both iOS and Android platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing iOS and Android apps to React Native.