Software Engineering Manager

Position: Guidance & Navigation Engineer

Experience: 1–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Guidance and Navigation Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating state estimation, navigation, and guidance algorithms for autonomous UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in estimation theory, sensor fusion, and navigation algorithms, along with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise navigation and guidance algorithms for UAVs.
• Develop state estimation algorithms using IMU, GNSS, magnetometer, barometer, cameras, LiDAR, radar, and other onboard sensors.
• Design and implement estimation filters such as: EKF, UKF, Point-mass Filter
• Develop sensor fusion algorithms for robust localisation under degraded or denied GNSS conditions.
• Work on inertial navigation, dead reckoning, visual-inertial odometry (VIO), visual odometry (VO), and multi-sensor navigation systems.
• Develop guidance algorithms for waypoint navigation, path following, trajectory generation, and autonomous mission execution.
• Perform simulation, algorithm validation, and performance analysis using MATLAB/Simulink, Python, or C++.
• Analyse flight logs and sensor data to improve navigation accuracy and system robustness.
• Integrate navigation software with autopilots, embedded processors, and avionics systems.
• Support hardware-in-the-loop (HIL), software-in-the-loop (SIL), and field flight testing.
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or a related discipline.
• 1–3 years of experience in navigation, estimation, robotics, autonomous systems, or UAV development.
• Strong understanding of: Linear Algebra, Probability and Statistics, Estimation Theory, Kinematics, Coordinate Systems, Control Systems,
• Experience developing estimation filters, especially EKF or UKF.
• Good understanding of IMU error modelling and inertial navigation.
• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Strong programming skills in C++ and Python.
• Experience with MATLAB/Simulink for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Visual-Inertial Odometry (VIO), Visual Odometry (VO), or SLAM with loop closure techniques
• Knowledge of factor graph optimisation (GTSAM, Ceres Solver, g2o, etc.).
• Experience with ROS/ROS2.
• Familiarity with PX4 or ArduPilot.
• Experience working with embedded Linux or ARM-based processors.
• Understanding of UAV flight dynamics and autopilot architectures.
• Experience with flight data analysis and debugging.
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for robotics, autonomous systems, and aerospace technologies.
• Willingness to participate in field trials and flight testing.

This role offers the opportunity to work on cutting-edge UAV autonomy technologies from algorithm development through real-world flight validation.

About us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha,

Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, coders and a puppy momo, who believe Moshi Moshi is an experience rather

than a company.

Job Role - Social Media Executive

Experience Level - 1 year

Location - Bangalore

Responsibilities:

● Create Campaign Strategies and monitor the execution to achieve the brand objective

● Objective Identification and delivery via curating the best digital strategy

● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads

● Handling social pages of Instagram, Facebook, LinkedIn, etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● Define the most important social media KPIs.

● In-depth knowledge of paid marketing and daily implementation, reporting, and running of

paid marketing on all social platforms.

● Measure the success of every social media campaign, as per required metrics

● Stay up to date with the latest social media best practices and updates

● Work with copywriters and designers to ensure content is informative and appealing or has

relevant writing capability.

● Monitor SEO and user engagement and suggest content optimization.

● Communicate with industry professionals and influencers to create a strong network via

social media.

● Provide constructive feedback to the team and train them to achieve desired results.

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.

Position: Flutter Developer

Location: Remote

Employment Type: Full-time

Experience Level: Junior/Mid-level/Senior

About Us:

At Jin Technologies, we specialize in delivering customized IT consulting, services, and technology solutions to meet the unique needs of each client. Our team of seasoned experts collaborates closely with businesses to understand their challenges and goals, crafting strategies that drive efficiency, enhance security, and foster growth. From cloud computing and data analytics to software development and IT infrastructure, we offer a comprehensive suite of services to help business succeed.

Job Summary:

We are seeking a highly skilled and passionate Flutter Developer to join our dynamic team. The ideal candidate will have a strong background in mobile application development and be proficient in building high-quality, responsive, and cross-platform mobile apps using Flutter. You will be responsible for the entire application lifecycle, including designing, coding, testing, and deployment.

Key Responsibilities:

• Develop and Maintain Mobile Applications: Design, build, and maintain high-performance, reusable, and reliable Flutter code.
• Cross-Platform Development: Create mobile applications that work seamlessly across both iOS and Android platforms.
• UI/UX Implementation: Collaborate with UI/UX designers to ensure the technical feasibility of designs and a seamless user experience.
• Integration with Backend Services: Work closely with backend developers to integrate RESTful APIs and other backend services.
• Testing and Debugging: Write clean, testable, and efficient code. Identify and correct bottlenecks and fix bugs.
• Code Reviews: Participate in code reviews to maintain code quality and share knowledge with the team.
• Continuous Improvement: Stay up-to-date with the latest industry trends, technologies, and best practices to continuously improve the development process and product quality.
• Collaboration: Work closely with other developers, project managers, and stakeholders to deliver high-quality software within project timelines.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Technical Skills:
• Strong knowledge of Flutter and Dart programming language.
• Experience with third-party libraries and APIs.
• Familiarity with RESTful APIs, GraphQL, and other backend services.
• Understanding of the full mobile development lifecycle, including automated testing and building.
• Proficiency in using version control tools like Git.
• Knowledge of native mobile development (iOS/Android) is a plus.
• Soft Skills:
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and in a team environment.
• Time management skills and the ability to handle multiple tasks simultaneously.

We are seeking an experienced Business Evangelist with technical sales experience to join our Enterprise Sales team. As

a Business Evangelist, you will be responsible for identifying and developing new business opportunities, and solution

showcase, managing existing accounts and building long-term relationships with prospects & customers.

Only Female candidates

Location - Chennai

Key Responsibilities:

1. Develop and implement sales strategies to achieve revenue targets and drive business growth.

2. Build and maintain strong relationships with key decision-makers and influencers within target accounts.

3. Identify and qualify new business opportunities through lead generation, and referrals.

4. Conduct high-level solution presentations and demonstrations to prospects and customers.

5. Provide accurate and timely sales forecasts, account plans, and reports.

6. Collaborate with marketing, engineering, and product management teams to ensure customer satisfaction and

success.

7. Attend industry events and conferences to stay up-to-date on market trends and competition.

Requirements:

1. Master’s degree in Business, Marketing, or a related field.

2. Minimum of 5 years of enterprise technical sales experience in SaaS, Software or Cyber Security organisations.

3. Proven track record of achieving sales targets and driving revenue growth.

4. Excellent communication and interpersonal skills.

5. Ability to build and maintain relationships with key decision-makers and influencers.

6. Ability to work independently and as part of a team in a fast-paced, dynamic environment.

• Azure Data Factory, Azure Data Bricks, Talend, BODS, Jenkins
• Microsoft Office (mandatory)
• Strong knowledge on Databases, Azure Synapse, data management, SQL
• Knowledge on any cloud platforms (Azure, AWS etc.,)

Location : Chennai

Experience : 1 - 3 Years

Job type : Permanent

What you must have:

• Experience in iOS Development and / or apps on Apple store and must have handled atleast 2 projects.
• Software Development experience in Java, MVC / MVVM pattern, Objective C, Swift development.
• Familiarity with SDK Integrations, APNS, Cocoapods, Carthage, Networking, JSON structuring and working with REST APIs.
• Experience in collaborating on software projects using Git based Version Control Systems (FYI, we use Bitbucket).
• Bonus Points if you have:
• Have a basic knowledge of how Android Development works (for collaborating with the Android team and developing programming patterns which works for both Android & iOS)
• Have experience working in an E-Commerce project
• Have worked with graphic & memory optimization in apps
• Have a Github account with some cool projects in it.
• Have scary but amazing debugging skills.

Expectations:

• Passion to be a part of the Startup who are building something bigger than themselves.
• Ability to take responsibility and ownership of their roles and work through the challenges in a startup team.
• Your typical week:
• iOS Development of our Core product
• Keeping up with product release cycle

Skills:

• iOS Development, Version Control, CocoaPods, Storyboard, iOS Mobile Automation, Mobile Application Testing - Android iOS

Requirements:-

• Must have good understanding of  Python and Shell scripting with industry standard coding conventions
• Must possess good coding debugging skills
• Experience in Design & Development of test framework
• Experience in Automation testing
• Good to have experience in Jenkins framework tool
• Good to have exposure to Continuous Integration process
• Experience in Linux and Windows OS
• Desirable to have Build  & Release  Process knowledge
• Experience in  Automating Manual test cases
• Experienced in automating OS / FW related tasks
• Understanding of BIOS / FW QA  is a strong plus
• OpenCV experience is a plus
• Good to have platform exposure
• Must have good Communication skills
• Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team