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Principal Engineer
Principal Engineer
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Principal Engineer

John Vivek's profile picture
Posted by John Vivek
8 - 20 yrs
Best in industry
Remote only
Skills
skill iconJava
Distributed Systems
Microservices

Position :Principal Engineer

Location : Remote


EGNYTE YOUR CAREER. SPARK YOUR PASSION. 

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values:


Invested Relationships

Fiscal Prudence

Candid Conversations

 

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit 

www.egnyte.com.

 

ABOUT THE ROLE 

Egnyte is seeking an experienced Principal Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events on a daily basis. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

 

WHAT YOU’LL DO:  

  • Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
  • Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
  • Effectively communicate complex design and architecture details
  • Understand company and industry-wide trends to help develop new technologies
  • Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
  • Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications 

  • BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
  • 8-15 years of professional experience in engineering with history of technical innovation
  • Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have) 

  • Breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
  • Demonstrated success in designing and developing large scale, complex systems
  • Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

BENEFITS 

  • Competitive salaries
  • Medical insurance and healthcare benefits for you and your family
  • Fully paid premiums for life insurance
  • Flexible hours and PTO
  • Gym reimbursement
  • Childcare reimbursement
  • Group term life insurance

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION: 

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

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About Egnyte

Founded :
2008
Type :
Product
Size :
500-1000
Stage :
Profitable

About

Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.

 

Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.

We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

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Connect with the team

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Prasanth Mulleti
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Pranav Dabral
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John Vivek

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Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM


ABOUT THIS MANDATE :


Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.


This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.


We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.


THE OPPORTUNITY AT A GLANCE :


AI-First Engineering Culture :

  • Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.


Hands-On Engineering Leadership :

  • Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.


People & Org Builder :

  • Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.


KEY RESPONSIBILITIES :


1. Hands-On Technical Engagement :

  • Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
  • Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
  • Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
  • Identify and resolve systemic technical debt and architectural risks across team-owned services
  • Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
  • Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability


2. AI Adoption, Integration & Transformation (2026 Mandate) :

  • Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
  • Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
  • Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
  • Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
  • Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
  • Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
  • Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
  • Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications


3. People Leadership & Team Development :

  • Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
  • Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
  • Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
  • Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
  • Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
  • Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
  • Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering


4. Engineering Delivery & Execution Excellence :

  • Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
  • Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
  • Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
  • Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
  • Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
  • Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership


5. Strategic Leadership & Cross-Functional Influence :

  • Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
  • Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
  • Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
  • Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
  • Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
  • Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use


AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :


In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :


AI Developer Productivity

  • Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.


LLM & GenAI Product Features

  • Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.


AI-Augmented Observability

  • Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.


Team AI Fluency :

  • Build mandatory AI literacy across all engineering levels.
  • Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.


Responsible AI Governance :

  • Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.


TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :


  • Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
  • Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
  • AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
  • Copilot: Cursor /Hugging Face
  • Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
  • Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
  • Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
  • MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
  • Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
  • CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)


QUALIFICATIONS & CANDIDATE PROFILE :

Education :

  • B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
  • Demonstrated engineering depth and leadership impact may complement institution pedigree


Experience :

  • 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
  • Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
  • Hands-on backend engineering background must be able to read, write, and critique production code
  • Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
  • Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
  • Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
  • Demonstrated career stability minimum of 2 years of average tenure per organisation.


The Ideal Engineering Manager in 2026 :

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  • Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
  • Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
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WHY THIS ROLE STANDS APART :


AI Transformation at Scale :

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  • Our decisions will shape how hundreds of engineers work in 2026 and beyond.


Hands-On & Strategic Balance :

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Established Platform, Real Scale :

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  • This is not a greenfield startup gamble it is a serious company with serious ambition.


Clear Leadership Growth Path :

  • A visible, direct path toward Director / VP of Engineering.
  • Senior leadership is invested in growing its next generation of technology executives.


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Greetings!!


This is Nayana representing Wissen Technology (www.wissen.com)


Job Opportunity with Wissen Technology for Java Technical Lead at Bangalore

Location


Here is the Job Description for your review:

Location: Bangalore

Experience: 9+ years

Skill – Java Technical Lead

Full-time with Wissen Technology

Hybrid model


Position Overview:

 We are seeking an experienced Java Lead to join our software development team. As a Java Architect, you will be responsible for designing and leading the development of complex Java-based applications, ensuring scalability, performance, and maintainability. You will collaborate with cross-functional teams, including developers, product managers, and stakeholders, to create robust software solutions that meet our business needs.


Key Responsibilities:


Technical Expertise: A Java lead should have a strong background in Java programming and be well-versed in various Java technologies and frameworks. They should be able to provide guidance, solve complex technical problems, and help team members with code reviews and best practices.


Team Management: Java leads are responsible for managing their development team. This includes tasks like task assignment, project planning, tracking progress, and ensuring that the team adheres to coding standards and follows best practices.


Architecture and Design: They often participate in the architectural and design phases of software development, making high-level decisions about the project's structure, technology stack, and design patterns.


Code Reviews: Regularly reviewing the code written by team members to ensure it meets quality standards, is maintainable, and follows the project's design and coding guidelines.


Mentoring and Training: Providing guidance and mentorship to junior developers, helping them grow their skills, and organizing training sessions to keep the team up-to-date with Java advancements.


Problem Solving: Being able to troubleshoot technical issues and challenges that may arise during the development process.


Communication: Good communication skills are essential for a Java lead. They need to coordinate with other team leads, project managers, and stakeholders to ensure smooth project execution and to report progress.


Project Management: While not always the primary project manager, Java leads often have a role in project planning and tracking to ensure that projects are delivered on time and within scope.



Required Skills:

• Experience in Core Java 5.0 and above, CXF, and Spring.

• Experience in spring boot, and microservices.

• Extensive experience in developing enterprise-scale n-tier applications for the financial domain.

• Should possess good architectural knowledge and be aware of enterprise application design patterns.

• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.

• Good development experience with RDBMS, preferably Sybase database.

• Good knowledge of multi-threading and high-volume server-side development.

• Experience in sales and trading platforms in investment banking/capital markets.

• Basic working knowledge of Unix/Linux

• Excellent problem-solving and coding skills in Java

• Strong interpersonal, communication, and analytical skills.

• Should have the ability to express their design ideas and thoughts.

Desired Skills:

• Prior experience in the Banking & Finance domain is preferred

• Experience in AWS/Azure or any other cloud platform




About Wissen Technology:

Wissen Technology is a global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and StartUps. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission-critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1300+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

Career Progression:

At Wissen Technology, your career growth is important for us. Therefore, we put in several efforts towards each employee’s career progression – to enable and empower them to grow within the company as well as to instil a sense of responsibility, loyalty, and trust.

There have been instances where a software engineer has grown from being an individual contributor to a technical lead and now on the path to becoming a director responsible for growing revenues and profitability. We deeply value Ownership: taking responsibility, making it happen, not letting the ball drop, and being accountable.

Website : www.wissen.com

Why Wissen? : https://www.youtube.com/watch?v=K87DADzVT7g

Wissen Thought leadership: https://www.wissen.com/articles/

Latest in Wissen in CIO Insider :

https://www.cioinsiderindia.com/vendor/wissen-technology-setting-new-benchmarks-in-technology-consulting-cid-1064.html

Employee Speak:

https://www.ambitionbox.com/overview/wissen-technology-overview

LinkedIn: https://www.linkedin.com/company/wissen-technology

About Wissen Interview Process:

https://www.wissen.com/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/

More on Wissen:

https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-institute-india/

https://www.wissen.com/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/



Regards, 

Nayana KM 

Principal Consultant - Talent Acquisition  

Wissen 

www.wissen.com 


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Job Description :

We are currently building a next generation consumer tech product at the intersection of AI ML through Mobile and Commerce. The product requires building proprietary frameworks using latest technologies.

We have an urgent requirement of a Backend Developer/ Fresher/ Intern, who would become core member of our Product Team, is a great problem solver, can learn quickly, and communicate clearly.

Must Have Skill Set :

  1. Efficient software development background including design patterns, data structures, test driven development

  2. Individual contributor with strong analytical skills, with excellent problem solving abilities. Excellent verbal and written communication skills

  3. Should be able to work under tight deadlines and stretch as and when required

  4. Self starter with the ability to research solutions independently and solve problems Strong, object oriented design and coding skills, c++/Java on a Linux platform Preferably with internship experience of Product based companies Working on products with strong Knowledge of SpringBoot and REST API frameworks Strong knowledge of Data structures and Algorithms

  5. Hands on expertise in Database/Datastores - MongoDB, MYSQL, Elastic Search, Redis and Kafka will be a big plus

Key Responsibility :

  1. Tasks will include complete responsibility for application design, code development, testing, deployment and maintenance

  2. Develop code as part of an agile team to deliver new features enhancements Design and develop REST APIs

  3. Follow approved life cycle methodologies, create design documents, and perform program coding and testing Develop plans outlining steps and time tables for developing programs and communicate plans and status to management

  4. Work independently or with minimal supervision and utilize knowledge, experience and judgment to accomplish well defined goals

  5. You should be at ease with maintaining cloud instances on AWS and other cloud services

  6. You have experience in identifying, debugging and resolving complex production issues End to End ownership of various applications and microservices

  7. Architect, design, develop, deploy and operate services that serve millions of users

What You Get :

1. You work with a team of passionate folks who love design and technology 2. Immense learning and growth opportunities in small, multi functional, tightly

knit teams
3. Flexible work timings; 5 days a week
4. Accelerated learning
5. Huge Responsibility early in your career which will come handy in future
6. Ownership and independence

Qualifications :

B.Tech/ MCA in Computer Science or equivalent 

About QuHu

QuHu is an audio first content platform where users can create, share & distribute their content and the discovery happens via a feed based on interest graph. We aim to build an audio ecosystem with a global presence consisting of audio-based social networks and audio communities.

At QuHu, we want to cultivate a vibrant and growing online UGC audio community and interactive audio entertainment platform where users are encouraged to create, share, discover and enjoy audio, and experience immersive and diversified entertainment features through audio. QuHu envisions a global audio ecosystem – a place where everyone can be connected through voices and across cultures.

The two pillars around which QuHu is built are:

Users - for whom we want to solve the problem of discovery basis interest (algorithmically driven feed) and provide an impressive experience through audio- bites (short content), live audio, audio rooms & audio games.

Creators - for whom we want to make creation & editing a seamless process through a suite of 'creator tools' like sound mixing, trim, pitch shifter, voicemojis, voice filters, noise reduction, etc & help them monetise

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