Senior System Administrator

About Hudson Data

At Hudson Data, we view AI as both an art and a science. Our cross-functional teams — spanning business leaders, data scientists, and engineers — blend AI/ML and Big Data technologies to solve real-world business challenges. We harness predictive analytics to uncover new revenue opportunities, optimize operational efficiency, and enable data-driven transformation for our clients.

Beyond traditional AI/ML consulting, we actively collaborate with academic and industry partners to stay at the forefront of innovation. Alongside delivering projects for Fortune 500 clients, we also develop proprietary AI/ML products addressing diverse industry challenges.

Headquartered in New Delhi, India, with an office in New York, USA, Hudson Data operates globally, driving excellence in data science, analytics, and artificial intelligence.

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About the Role

We are seeking a Data Analyst & Modeling Specialist with a passion for leveraging AI, machine learning, and cloud analytics to improve business processes, enhance decision-making, and drive innovation. You’ll play a key role in transforming raw data into insights, building predictive models, and delivering data-driven strategies that have real business impact.

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Key Responsibilities

1.⁠ ⁠Data Collection & Management

• Gather and integrate data from multiple sources including databases, APIs, spreadsheets, and cloud warehouses.

• Design and maintain ETL pipelines ensuring data accuracy, scalability, and availability.

• Utilize any major cloud platform (Google Cloud, AWS, or Azure) for data storage, processing, and analytics workflows.

• Collaborate with engineering teams to define data governance, lineage, and security standards.

2.⁠ ⁠Data Cleaning & Preprocessing

• Clean, transform, and organize large datasets using Python (pandas, NumPy) and SQL.

• Handle missing data, duplicates, and outliers while ensuring consistency and quality.

• Automate data preparation using Linux scripting, Airflow, or cloud-native schedulers.

3.⁠ ⁠Data Analysis & Insights

• Perform exploratory data analysis (EDA) to identify key trends, correlations, and drivers.

• Apply statistical techniques such as regression, time-series analysis, and hypothesis testing.

• Use Excel (including pivot tables) and BI tools (Tableau, Power BI, Looker, or Google Data Studio) to develop insightful reports and dashboards.

• Present findings and recommendations to cross-functional stakeholders in a clear and actionable manner.

4.⁠ ⁠Predictive Modeling & Machine Learning

• Build and optimize predictive and classification models using scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, and H2O.ai.

• Perform feature engineering, model tuning, and cross-validation for performance optimization.

• Deploy and manage ML models using Vertex AI (GCP), AWS SageMaker, or Azure ML Studio.

• Continuously monitor, evaluate, and retrain models to ensure business relevance.

5.⁠ ⁠Reporting & Visualization

• Develop interactive dashboards and automated reports for performance tracking.

• Use pivot tables, KPIs, and data visualizations to simplify complex analytical findings.

• Communicate insights effectively through clear data storytelling.

6.⁠ ⁠Collaboration & Communication

• Partner with business, engineering, and product teams to define analytical goals and success metrics.

• Translate complex data and model results into actionable insights for decision-makers.

• Advocate for data-driven culture and support data literacy across teams.

7.⁠ ⁠Continuous Improvement & Innovation

• Stay current with emerging trends in AI, ML, data visualization, and cloud technologies.

• Identify opportunities for process optimization, automation, and innovation.

• Contribute to internal R&D and AI product development initiatives.

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Required Skills & Qualifications

Technical Skills

• Programming: Proficient in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow, Keras, H2O.ai).

• Databases & Querying: Advanced SQL skills; experience with BigQuery, Redshift, or Azure Synapse is a plus.

• Cloud Expertise: Hands-on experience with one or more major platforms — Google Cloud, AWS, or Azure.

• Visualization & Reporting: Skilled in Tableau, Power BI, Looker, or Excel (pivot tables, data modeling).

• Data Engineering: Familiarity with ETL tools (Airflow, dbt, or similar).

• Operating Systems: Strong proficiency with Linux/Unix for scripting and automation.

Soft Skills

• Strong analytical, problem-solving, and critical-thinking abilities.

• Excellent communication and presentation skills, including data storytelling.

• Curiosity and creativity in exploring and interpreting data.

• Collaborative mindset, capable of working in cross-functional and fast-paced environments.

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Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Master’s degree in Data Analytics, Machine Learning, or Business Intelligence preferred.

• Relevant certifications are highly valued:

• Google Cloud Professional Data Engineer

• AWS Certified Data Analytics – Specialty

• Microsoft Certified: Azure Data Scientist Associate

• TensorFlow Developer Certificate

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Why Join Hudson Data

At Hudson Data, you’ll be part of a dynamic, innovative, and globally connected team that uses cutting-edge tools — from AI and ML frameworks to cloud-based analytics platforms — to solve meaningful problems. You’ll have the opportunity to grow, experiment, and make a tangible impact in a culture that values creativity, precision, and collaboration.

We’re looking for an Engineering Manager to guide our micro-service platform and mentor a fully remote backend team. You’ll blend hands-on technical ownership with people leadership—shaping architecture, driving cloud best practices, and coaching engineers in their careers and craft.

Key Responsibilities:

Area

What You’ll Own

Architecture & Delivery

• Define and evolve backend architecture built on Java 17+, Spring Boot 3, AWS (Containers, Lambdas, SQS, S3), Elasticsearch, PostgreSQL/MySQL, Databricks, Redis etc...

• Lead design and code reviews; enforce best practices for testing, CI/CD, observability, security, and cost-efficient cloud operations.

• Drive technical roadmaps, ensuring scalability (billions of events, 99.9 %+ uptime) and rapid feature delivery.

Team Leadership & Growth

• Manage and inspire a distributed team of 6-10 backend engineers across multiple time zones.

• Set clear growth objectives, run 1-on-1s, deliver feedback, and foster an inclusive, high-trust culture.

• Coach the team on AI-assisted development workflows (e.g., GitHub Copilot, LLM-based code review) to boost productivity and code quality.

Stakeholder Collaboration

• Act as technical liaison to Product, Frontend, SRE, and Data teams, translating business goals into resilient backend solutions.

• Communicate complex concepts to both technical and non-technical audiences; influence cross-functional decisions.

Technical Vision & Governance

• Own coding standards, architectural principles, and technology selection.

• Evaluate emerging tools and frameworks (especially around GenAI and cloud-native patterns) and create adoption strategies.

• Balance technical debt and new feature delivery through data-driven prioritization.

Required Qualifications:

● 8+ years designing, building, and operating distributed backend systems with Java & Spring Boot

● Proven experience leading or mentoring engineers; direct people-management a plus

● Expert knowledge of AWS services and cloud-native design patterns

● Hands-on mastery of Elasticsearch, PostgreSQL/MySQL, and Redis for high-volume, low-latency workloads

● Demonstrated success scaling systems to millions of users or billions of events Strong grasp of DevOps practices: containerization (Docker), CI/CD (GitHub Actions), observability stacks

● Excellent communication and stakeholder-management skills in a remote-fi rst environment

Nice-to-Have:

● Hands-on experience with Datadog (APM, Logs, RUM) and a data-driven approach to debugging/performance tuning

● Startup experience—comfortable wearing multiple hats and juggling several projects simultaneously

● Prior title of Principal Engineer, Staff Engineer, or Engineering Manager in a high-growth SaaS company

● Familiarity with AI-assisted development tools (Copilot, CodeWhisperer, Cursor) and a track record of introducing them safely

Job Title: Engineering Manager (Java / Spring Boot, AWS) – Remote

Leadership Role

Location: Remote

Employment Type: Full-time

Job Description

Position: Senior HR Executive - People Experience

Department: Human Resources

Location: Connect and Heal (CNH) Bangalore

About Connect and Heal (CNH)

At CNH, we strive to create a healthy and engaging workplace by ensuring that employees experience a seamless journey, from onboarding to daily operations. We value people-centric practices that prioritize collaboration, innovation, and care.

Position Summary

The Senior HR Executive - People Experience will play a pivotal role in delivering exceptional employee experiences across onboarding, recruitment, engagement, and HRMS management. This role requires a proactive individual who can work collaboratively to ensure processes are efficient, compliant, and aligned with CNH’s core values.

Key Responsibilities

1. Onboarding

• Coordinate with hiring managers and cross-functional teams to deliver induction programs.
• Facilitate documentation, verification, and orientation sessions for new employees.
• Ensure compliance with company policies and regulatory requirements during onboarding.

2. Recruitment

• Manage recruitment processes, including job posting, sourcing, screening, scheduling interviews, and offer rollouts.
• Partner with department heads to understand staffing requirements and create effective hiring strategies.
• Maintain a talent pipeline by leveraging social media platforms, job portals, and referral programs.
• Conduct pre-employment checks and reference verifications to ensure quality hiring.

3. Employee Engagement

• Design and implement programs that enhance employee satisfaction, well-being, and retention.
• Plan and execute initiatives such as town halls, team-building activities, and feedback surveys.
• Act as a point of contact for employee queries and provide resolution to concerns in a timely manner.
• Analyze engagement metrics to recommend and implement improvements.

4. HRMS Management

• Oversee the maintenance and accuracy of employee data in the HRMS system.
• Ensure data security and compliance with data protection regulations.

Skills and Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or a related field.
• 1-4 years of experience in HR functions, including onboarding, recruitment, employee engagement, and HRMS.
• Proficient in HRMS tools, Microsoft Office Suite.
• Strong interpersonal and communication skills.
• Ability to handle sensitive information with confidentiality and professionalism.
• Detail-oriented, with strong organizational and multitasking capabilities.

Why Join CNH?

• Be part of a fast-growing organization that prioritizes employee health and well-being.
• Collaborative and inclusive work culture.
• Opportunities for professional growth and development.

Position – Software Engineer

Essential Job Functions:

• Develop code for system changes or new modules within company and architecture according to specifications and standards
• Participates and contribute in formal and informal code reviews
• Prepares and executes accurate unit test plans, test data, and test modules and scripts
• Documents code changes and unit test results per Best Practices
• Performs production support and troubleshooting and maintenance (defect resolution)

Required Skills:

• 3-6 years of hands-on experience
• Expert level understanding of all phases of SDLC, preferably with Agile methodology.
• Strong coding experience with Java, J2EE, SQL. Strong experience in java frameworks, especially spring framework.
• Solid experience developing with SQL queries, stored procedures, views and triggers for Oracle databases.
• Understanding of multi-tier architecture, Web based development, and Services Oriented Architecture. Experience coding REST and SOAP services.
• Excellent communication (verbal and written) and interpersonal skills. Able to step into complex situations and take responsibility.
• Solid knowledge working with version control systems like bitbucket and build tools like maven.
• Strong problem solving and conflict resolution skills.

Preferred Skills:

• Able to guide junior developers.
• Ability to learn and master internal frameworks quickly.
• Deep knowledge in writing complex unit tests.
• XML and knowledge of generating Java data binding code from XSDs
• Knowledge of Tomcat, WebSphere, WebLogic and IBM MQ
• Experience with Agile methodology.

About CapitalCloud, A Bottomline Company:

Bottomline Technologies provides collaborative payment, invoice and document automation solutions to corporations, financial institutions and banks around the world. The company's solutions are used to streamline, automate, and manage processes involving payments, invoicing, global cash management, supply chain finance and transactional documents. Organizations trust these solutions to meet their needs for cost reduction, competitive differentiation, and optimization of working capital.

Serving industries such as financial services, insurance, health care, technology, communications, education, media, manufacturing, and government, Bottomline provides products and services to approximately 80 of the Fortune 100 companies and 70 of the FTSE (Financial Times) 100 companies.

Bottomline is a participating employer in the Employment Verification (E-Verify) program EOE/AA/M/F/V/D/E-Verify Employer

Bottomline Technologies is an Equal Employment Opportunity and Affirmative Action Employer.

Roles and Responsibilities

• Working with designers, product managers to collaboratively own the front-end layer at FalconBrick and deliver stellar end user experiences
• Building responsive and elegant mobile and desktop web UIs
• Test, debug and maintain the application software throughout the product lifecycle
• Architect, develop and maintain front-end libraries

Desired Candidate Profile

• You love working with JavaScript and are very familiar with JavaScript design patterns and can build fairly complex UI
• Have at least 2 years experience in development of responsive web/mobile applications using advanced JS and web technologies
• And with at least 1 year of experience building frontend UI with a framework like ReactJS
• Youre very comfortable in writing HTML and CSS and love designing beautiful webpages
• Have good communication skills, strong work ethics And are comfortable with agile, iterative development practices and code reviews

Responsibilities:

• Writing and maintaining the automation for deployments across various cloud (AWS/Azure/GCP)
• Bring a passion to stay on top of DevOps trends, experiment, and learn new CI/CD technologies.
• Creating the Architecture Diagrams and documentation for various pieces
• Build tools and automation to improve the system's observability, availability, reliability, performance/latency, monitoring, emergency response

Requirements:

• 3 - 5 years of professional experience as a DevOps / System Engineer.
• Strong knowledge in Systems Administration & troubleshooting skills with Linux.
• Experience with CI/CD best practices and tooling, preferably Jenkins, Circle CI.
• Hands-on experience with Cloud platforms such as AWS/Azure/GCP or private cloud environments.
• Experience and understanding of modern container orchestration, Well-versed with the containerised applications (Docker, Docker-compose, Docker-swarm, Kubernetes).
• Experience in Infrastructure as code development using Terraform.
• Basic Networking knowledge VLAN, Subnet, VPC, Webserver like Nginx, Apache.
• Experience in handling different SQL and NoSQL databases (PostgreSQL, MySQL, Mongo).
• Experience with GIT Version Control Software.
• Proficiency in any programming or scripting language such as Shell Script, Python, Golang.
• Strong interpersonal and communication skills; ability to work in a team environment.

• AWS / Kubernetes Certifications: AWS Certified Solutions Architect / CKA.
• Setup and management of a Kubernetes cluster, including writing Docker files.
• Experience working in and advocating for agile environments.
• Knowledge in Microservice architecture.

QA automation engineers to design automated tests to validate the functionality of network protocol software stack. Their job is to create the initial test plan, write the scripts, install the automation testing protocols, and report the results.

Experience Required: 0-2 years

Primary Skills:

Hand on experience to QA the product following customer requirements.

Prepared test cases, testing, documenting errors (depending on the phase of the project) Checking the bug tracking system for the fixed errors.

Following the automation testing plan to prepare and execute the automation testing and verifying the automation testing results and fixing the automation cases and automation environment issues.

Candidate should have fundamental core networking skills, with basic knowledge of TCP/IP Protocol suite, OSI layered architecture and should be able to relate that knowledge in troubleshooting related issues.

Ability to learn quickly and adapt to new product as organization evolves.

Additional Skills (Preferred):

0-2 years of experience in QA in the field of computer networking is plus.

Hands on experience with Cloud systems, APIs, Application and Database systems.

Hands on experience with Linux and knowledge of Operating System concepts.

Good understanding of complete software delivery cycle(worked with ticketing system, escalation management and building knowledge base for customer support organization)

Nice to have experience in Selenium.

Knowledge in SNMP Protocol.

Familiarity with IXIA Traffic Generator and its APIs for Automation.

Minimum Qualifications:

B.Tech / M.Tech / M.Sc (Computer Science/Information Technology/MCA)

• A positive attitude, willing to jump in and tackle new challenges.

• 1- 3 years of experience in technical writing

• coordination and collaboration with the internal teams and concered stakeholders