Java spring boot developer

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

Strong Senior Product Designer, B2B SaaS Design Profile

Mandatory (Experience 1): Must have 5+ years of product design experience, with 3+ years in B2B SaaS/enterprise product design working on workflow-heavy systems

Mandatory (End-to-End Design): Must be able to own complex flows end-to-end from problem framing to polished prototypes and production-ready UI

Mandatory (Tools): Deep proficiency in Figma (auto-layout, variables, components, prototyping), strong UI craft, and design fundamentals for scalable visual systems

Mandatory (Design Systems): Solid understanding of and experience contributing to design systems / pattern-driven thinking

Mandatory (Communication): Excellent ability to articulate design rationale and collaborate with Product, Engineering, and cross-functional stakeholders

Mandatory (Portfolio): Must have a strong portfolio demonstrating shipped, real-world product work and the ability to solve complex design problems

Mandatory (Company): B2B SaaS Product companies

Video Engineer – Software Engineering and Media Processing @IXG Inc.

Location: Bangalore

About the Role

IXG is building the future of cloud-native, GPU-powered remote video production and 

media transport. We’re looking for a Video Engineer with deep expertise in C/C++ / Rust, 

GStreamer, and FFmpeg to help architect the next-gen media stack — designed for realtime streaming, low-latency workflows, and automated broadcast delivery.

What You'll Work On

• Design and optimize video/audio pipelines using GStreamer and FFmpeg

• Integrate modern streaming protocols: SRT, NDI, RIST, RTMP

• Work with codecs and containers: H.264, H.265, AAC, Opus, MPEG-TS, MP4, and 

others

• Troubleshoot latency, sync, buffer, and transport issues in live or automated media 

environments

• Collaborate with backend and edge software teams to deliver high-performance, 

distributed video systems

• Stay ahead of the curve on broadcast and streaming technologies

What We’re Looking For

• 3-5 years of experience in Software Engineering & Media Processing

• Proficiency in C and C++ or Rust, with experience building performance-critical 

applications

• Strong experience working with GStreamer and FFmpeg in production

• Deep understanding of video/audio codecs, mux/demux, and streaming containers

• Hands-on experience with SRT, NDI, RIST, RTMP, or similar protocols

• Knowledge of media sync, buffering, and low-latency optimization techniques

• Comfortable working in Linux environments, debugging across layers

Bonus If You Have

• Experience with WebRTC or ultra-low latency video delivery

• Worked on GPU-based encoding/decoding (e.g., NVIDIA NVENC, Intel QuickSync)

• Familiarity with SMPTE standards, SDI workflows, or AES67 audio

• Exposure to cloud-based video processing stacks (e.g., AWS Media Services)

Why Work With IXG

We’re not retrofitting old tech for new workflows — we’re reimagining media infrastructure from the ground up, combining GPU-accelerated encoders, edge 

hardware, and smart cloud transport.

Join us to help media teams go remote, at scale, 

without compromising on quality or latency.

• Work from Bangalore

• Be part of a high-agency, technically deep team

• Contribute to real-world deployments powering sports, news, and esports coverage

Sound like your kind of gig?

Apply now 

#Hiring #VideoEngineer #GStreamer #FFmpeg #Cplusplus #StreamingTech 

#BroadcastEngineering #LowLatencyVideo #IXG

• Needs to generate qualified opportunities within target industry accounts wherein each opportunity should contain:
• Diagnosis of the prospect's business pains, where Unbxd solutions can fit in, understanding of prospects' buying cycle, procurement process, budgets etc. 
• Needs to identify accounts and do extensive prospect territory planning for the given region.
• Also conduct detailed prospect research within focused industry verticals. 
• Ability to develop a 'Why Unbxd, Why Now' proposition for each prospect interaction, identify and follow up on all marketing leads. 
• Support all the industry or solution specific marketing events in the region. 
• Ongoing record keeping and forecasting within Salesforce CRM & make use of prospecting support tools such as LinkedIn, eTailInsights etc.....

Job Description

Job Summary

• BS/BE/BCA/MSC/MCA degree in Computer Science, Engineering or a related subject
• Hands on experience is preferable in designing and developing applications using Java EE platforms
• Object oriented analysis and design using common design patterns.
• Profound insight of Java and J2EE internals
• Excellent knowledge of Relational Databases and SQL
• Experience in developing web applications using at least one popular web framework (JSF, HTML5, MVC)
• Knowledge on Micro services, Containers / Docker would be added advantage.
• Knowledge on data science would be preferred.
• Exposure to building API, rest service and webservices.
• Exposure to open source like Tensor flow, NIFI, Stream pipes etc.,
• Experience with test-driven development
• Good communication skills and client-oriented attitude
• Organized and detail-oriented person
• Problem solving skills, analytical mind and positive attitude
• Results oriented and focused on meeting deliverable timelines
• Availability to travel, if needed
• Fluency in English is a must

Responsibilities and Duties

• Design and develop features and modules for mission-critical applications
• Build modules on MES products like (SAP, Apriso, Rockwell etc.,)
• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies

Required Experience, Skills and Qualifications
2 - 5 years of hands-on Software Development experience using the below mentioned Technologies

• Java / J2EE
• EJB, JSF, Servlets
• HTML, HTML5
• SQL server / Oracle
• Json, webservice and etc.

Benefits

• Candidate would be Trained on SAP modules.
• Industry best pay.

Job Type: Full-time

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

• Love for coding: A fanatic about writing beautiful and scalable code.
• Sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.
• Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 
• Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.
• Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

• BE/BTech in Computer Science or related field. 
• Minimum 3+ years of UI/Frontend development and a strong understanding of building complex layouts using JavaScript, CSS and HTML.

KEY SKILLS

• Strong computer system analysis and design skills in current methodologies and patterns including vanilla JavaScript, some experience with ReactJS, Redux, React Native, Webpack, and Typescript or similar library/tools.
• Obsessed with WPO (Web Performance Optimization) and web/mobile performance analysis.
• Experienced with web standards and protocols such as HTTP, DNS, TCP/IP, and socket APIs in general.
• Familiar with web security, SEO, accessibility and internationalization.