Jr. Accountant

Senior Python Developer to lead the development of scalable, high-performance backend systems and data-driven applications. You will work on building robust services, APIs, and data workflows that power real-time and batch applications.This role is ideal for a seasoned developer who thrives on solving complex problems, building reliable software, and working across data and engineering teams. Youll play a key role in designing and developing Python-based systems that interface with big data frameworks, cloud platforms, and analytics tools.Key Responsibilities

• Design and develop robust Python-based backend services and microservices.
• Build RESTful APIs and integrations with third-party systems and internal tools.
• Work with data workflows involving ingestion, transformation, and validation.
• Develop and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Collaborate with DevOps teams to deploy, monitor, and scale applications in cloud environments (AWS, Azure, GCP).
• Optimize code for performance, scalability, and maintainability.
• Write unit and integration tests, participate in code reviews, and follow CI/CD best practices.
• Work with cloud storage, databases, and data lake technologies like S3, Parquet, and DuckDB.
• Collaborate with data scientists, analysts, and engineers to enable data access and modeling.

Required Skills & Qualifications

• 5+ years of experience in backend software development, primarily in Python.
• Strong understanding of OOP, modular design, and Python design patterns.
• Experience with web frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with data processing tools like Pandas, SQLAlchemy, PyArrow.
• Proficiency with SQL and database technologies (PostgreSQL, DuckDB, etc.).
• Experience with Airflow for workflow orchestration.
• Knowledge of building scalable, distributed applications and microservices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Solid understanding of version control (Git), testing frameworks (PyTest), and CI/CD pipelines.
• Excellent problem-solving, debugging, and communication skills.

Preferred Skills (Nice to Have)

• Experience with data processing frameworks like Apache Spark or Vaex.
• Familiarity with data storage formats and tools like Parquet, Iceberg.
• Exposure to data streaming platforms (Kafka, Kinesis, Flink).
• Experience integrating backend systems with AI/ML pipelines or BI platforms.
• Understanding of security standards and compliance (GDPR, HIPAA, SOC2).
• Background in metadata-driven or event-driven architectures.

What we are looking for:

We are looking for a motivated AI Developer with 1–3 years of experience to join our team and build cutting-edge applications powered by Large Language Models (LLMs). You will work on designing, developing, and optimizing intelligent systems using modern AI frameworks and tools.

Responsibilities:

• Design and develop applications leveraging Large Language Models (LLMs)
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines
• Work with frameworks like LangChain, LangGraph, or similar LLM orchestration tools
• Integrate and manage vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS)
• Implement prompt engineering strategies and improve model responses
• Develop scalable and efficient AI system architectures
• Monitor, debug, and optimize LLM applications using observability tools (e.g., Langfuse or similar)
• Collaborate with backend and product teams to integrate AI features into production systems
• Stay updated with the latest advancements in AI/LLM ecosystem

Skills:

• 1–3 years of hands-on experience in AI/ML or backend development with AI exposure
• Strong understanding of LLMs and generative AI concepts
• Experience with LangChain, LangGraph, or similar frameworks
• Practical experience with RAG architectures and pipelines
• Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Weaviate, FAISS)
• Familiarity with observability tools like Langfuse, Helicone, or similar
• Proficiency in Python (preferred) or Node.js
• Experience working with APIs (OpenAI, Anthropic, etc.)
• Understanding of embeddings, chunking, and retrieval strategies
• Good problem-solving and debugging skills

Experience:

• 1-3 years of experience in AI application development

Remuneration: Industry Standard basis experience

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

* Good knowledge of Node.js/ NextJS, Express.js, React and MongoDB

* Need a clear understanding of JavaScript and Typescript.

* Excellent grasp of data structures and designing and developing REST APIs.

* Good skills of either RDBMS (e.g. MySQL or PostgreSQL) or NoSQL (MongoDB or equivalent).

* Must have at least 3 years’ experience in MERN Stack development.

* Experience in developing responsive web applications.

* Good communication skills.

* Sound understanding of Agile and Scrum methodologies and ability to participate in local and remote Sprints.

* Good grasp of UI / UX concepts.

* Should have experience in using Git and VSCode.

* Knowledge of AWS, Azure, CI / CD, Gitflow, shell scripting will be considered positively.

We are looking for a highly skilled Backend Developer with expertise in Core Java, Java 8, and Data Structures. The ideal candidate should have experience in Spring Boot, JPA/Hibernate, and Microservices architecture. If you are passionate about backend development and want to work in a dynamic environment, we’d love to hear from you!

Key Responsibilities:

• Develop and maintain backend applications using Core Java and Java 8.
• Design and implement RESTful and SOAP web services.
• Work with Spring Framework, Spring Boot, and JPA/Hibernate for backend development.
• Build and optimize microservices-based architectures.
• Manage databases such as PostgreSQL, MySQL, or Oracle.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Write clean, efficient, and scalable code while following best practices.
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Requirements:

✅ Strong hands-on experience in Java (Core Java, Java 8) and Data Structures.

✅ Proficiency in Spring, Spring Boot, JPA/Hibernate.

✅ Experience in developing and consuming RESTful & SOAP APIs.

✅ Knowledge of Microservices architecture and best practices.

✅ Database expertise in PostgreSQL, MySQL, or Oracle.

✅ Excellent verbal and written communication skills.

Nice to Have:

• Experience with Docker/Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to cloud platforms (AWS, GCP, or Azure).

Data Scientists are analytical experts who use their skills in mathematics, statistics, and computer science to solve complex business problems. They collect, analyze, and interpret large datasets to extract meaningful insights and develop data-driven solutions. Their work helps organizations make informed decisions, improve processes, and gain a competitive edge.

Key Responsibilities:

• Data Collection and Preprocessing:
• Gathering data from various sources (databases, APIs, web scraping, etc.).
• Cleaning and transforming data to ensure quality and consistency.
• Handling missing values, outliers, and inconsistencies.
• Integrating data from multiple sources.
• Data Analysis and Exploration:
• Conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships.
• Applying statistical methods and hypothesis testing to validate findings.
• Visualizing data using charts, graphs, and other tools to communicate insights.
• Model Development and Deployment:
• Developing and implementing machine learning models (e.g., regression, classification, clustering, deep learning).
• Evaluating model performance and fine-tuning parameters.
• Deploying models into production environments.
• Creating and maintaining machine learning pipelines.
• Communication and Collaboration:
• Presenting findings and recommendations to stakeholders in a clear and concise manner.
• Collaborating with cross-functional teams (e.g., engineers, product managers, business analysts).
• Documenting code, models, and processes.
• Translating business requirements into technical implementations.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5 is looking for a Sr. Security Engineer with experience in building, integrating, operating, and maintaining robust security monitoring and auditing systems. F5’s Edge 2.0 platform provides global, scalable, and secure way to deploy applications. In this position, you will build and maintain monitoring and audit systems across the platform that provide necessary visibility and alerts to effectively defend the platform.

Responsibilities:

• Collaborate with software architects, security defenders, Operations, SRE, compliance experts, and business leaders to understand the logical boundaries of the systems and identify the events to monitor, audits to maintain, alerts to tweak, as well as systems to integrate with
• You will continuously hunt for areas and metrics to be added into monitoring systems for better operational visibility, incident response capability, availability, and forensics capability of the overall platform
• You will participate in the definition of processes around change and inventory management and develop solutions to audit the changes
• You will work with other teams within security organization to define communication and alerting protocols for effective and timely actions
• You will participate in defining and executing the Incident Response Plan for the platform and be responsible for providing necessary information during the response and forensics
• Demonstrate technical leadership in multiple domain areas, providing mentorship to other team members

Minimum qualifications:

• BS degree in Computer Science or equivalent with 5+ years of security operation and monitoring experience
• Experience with logging, monitoring, SIEM, dashboarding tools like AWS GuardDuty, Sumo, Grafana, SolarWinds, DataDog, Splunk, etc.
• Working knowledge of at least one Cloud Computing platform (e.g. Amazon AWS, Microsoft Azure, Google Compute etc.)
• Good understanding of how to handle logs from various systems, integrate with systems handling logs and metrics, how to setup and tune alerts based on thresholds and policies
• Hands on experience with computer programming languages and/or scripting languages such as Python, Java, Shell
• Good understanding of complexities and security challenges in large-scale distributed systems
• Working knowledge of Cloud orchestration systems such as Kubernetes, Openstack etc.
• Self-motivated and willing to delve into new areas and take on new challenges in an enthusiastic manner
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills

Desired Candidate Profile

• Bachelor’s degree in graphic design or related field
• Experience as a graphic designer or in a related field
• Demonstrable graphic design skills with a strong portfolio
• Proficiency with required desktop publishing tools, including Photoshop, InDesign Quark, and Illustrator
• A strong eye for visual composition
• Effective time management skills and the ability to meet deadlines
• Ability to give and receive constructive criticism
• Understanding of marketing, production, website design, corporate identity, product packaging, advertisements, and multimedia design
• Experience with computer-aided design
• A passion for issues around Sustainability, Energy Transition, Climate Action, Distributed & Renewable Energy
• Startup experience desired
• Ability to work in a fast-paced environment