Python Developer

Senior Software Engineer

Responsibilities:

• Lead by the principle of "customer first" to analyse, debug, develop, and maintain customer-centric software.

• Collaborate closely with multidisciplinary teams to analyse, debug and fix issues with high quality code, zero regressions, scalable, innovative technical solutions.

• Optimizing components for maximum performance and scalability

• Participates in R&D, Proof of Concepts, Prototyping, Code review, Root Causing, etc.

• At least 2-3 yrs of experience in taking full ownership of software development lifecycle including planning, design, architecture, development, test & deployment. And 2+ years of experience in supporting production or customer issues and escalations.

• Review and analyze support tickets that are complex in nature and require more technical knowledge to analyze. Investigate issues to identify root causes and document findings clearly.

• Influences the development practices so that they follow best practices, policies, and procedures.

• Ensure software products meet all non-functional requirements including operational and security needs.

• Excellent verbal and written communication skills, problem solving skills.

• Address complex technical challenges within software systems, ensuring robustness, compliance, and customer satisfaction.

• Contribute to knowledge base

• Support the Lead and Mentor the team of software engineers and own the technical health of the service the team is working on.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Minimum of 5 years of professional experience in Java development with expertise in core Java, JDK, data structures, and multithreading.

• Strong analytical skills with experience in root cause analysis and fixes • Strong experience with Spring and Spring Boot frameworks.

• Strong understanding of software design principles, architecture, and best practices

• Familiarity with server technologies, including Tomcat and WebLogic.

• Proficiency in working with relational databases such as Oracle and PostgreSQL

• Experience with messaging queues, particularly JMS MQ or Artemis MQ.

• Possess exceptional debugging and troubleshooting skills to resolve complex issues across the entire, cross-functional technology stack

• Awareness / exposure to debugging Frontend applications (ReactJS / .Net) is a good to have.

• Exposure to Kubernetes, containerization and cloud (AWS) technologies in building scalable, resilient, and distributed environments.

• Excellent problem-solving skills and the ability to work in a fast-paced and in production customer sensitive environments.

• Strong communication and collaboration skills. Quick learner.

• Experience and knowledge in working in the HRP application – specifically the Claims functionality. Added experience in other areas including Enrollment, Billing, Financials is a plus. Candidate must have worked previously in HRP

• Familiarity with ticketing systems (Jira, SalesForce) and production support workflows.

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 

W www.wissen.com 

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 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• 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
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• 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.

Key Responsibilities:

- Customize and develop Odoo modules as per business requirements.

- Integrate Odoo with third-party systems and APIs.

- Analyze, troubleshoot, and debug issues in existing modules.

- Create and maintain technical documentation.

- Migrate data and Odoo versions as needed.

- Collaborate with cross-functional teams (functional consultants, QA, UI/UX).

- Optimize performance and scalability of the Odoo platform.

Required Skills:

- Strong understanding of Python and Odoo framework.

- Proficiency in PostgreSQL, XML, JavaScript, QWeb and OWL.

- Experience with Odoo's core modules (Sales, Purchase, Inventory, Accounting, etc.).

- Familiarity with Odoo Studio and Odoo.sh is a plus.

Role: Java Developer

Location: Bengaluru - Hybrid

Mode: Full Time

Job Description: We are looking for a talented and motivated Software Engineer with expertise in both Windows and Linux operating systems and solid experience in Java technologies. The ideal candidate should be proficient in data structures and algorithms, as well as frameworks like Spring MVC, Spring Boot, and Hibernate. Hands-on experience working with MySQL databases is also essential for this role.

Responsibilities:

● Design, develop, test, and maintain software applications using Java technologies.

● Implement robust solutions using Spring MVC, Spring Boot, and Hibernate frameworks.

● Develop and optimize database operations with MySQL.

● Analyze and solve complex problems by applying knowledge of data structures and algorithms.

● Work with both Windows and Linux environments to develop and deploy solutions.

● Collaborate with cross-functional teams to deliver high-quality products on time.

● Ensure application security, performance, and scalability.

● Maintain thorough documentation of technical solutions and processes.

● Debug, troubleshoot, and upgrade legacy systems when required.

Requirements:

● Operating Systems: Expertise in Windows and Linux environments.

● Programming Languages & Technologies: Strong knowledge of Java (Core Java, Java 8+).

● Frameworks: Proficiency in Spring MVC, Spring Boot, and Hibernate. ● Algorithms and Data Structures: Good understanding and practical application of DSA concepts.

● Databases: Experience with MySQL – writing queries, stored procedures, and performance tuning.

● Version Control Systems: Experience with tools like Git.

● Deployment: Knowledge of CI/CD pipelines and tools such as Jenkins, Docker (optional)

Requirements:

• 4-6 years of experience in developing Enterprise Web Applications using Java/J2EE technologies with a good professional track record.
• Excellent knowledge in Core Java (J2SE) and J2EE technologies.
• Proficient knowledge in Servlets, JDBC & JSP.
• Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM framework like JPA/Hibernate.
• Strong knowledge of Exception Handling, Collections, File I/O Streams, Interfaces, and logging mechanisms is a must.
• Experience in developing REST APIs and integration of third-party APIs.
• Proficient knowledge in SQL/PLSQL.
• Expertise in application/web server deployment and connection pooling techniques.
• Cloud deployment (AWS & Azure) will be an added advantage.
• Experience in Version Control tools like Git, Bitbucket, etc.
• Experience in data security and protocols is a must.
• Maven and IDE tools experience is a must.
• Multi-threading and serialization techniques knowledge is a must.
• Good understanding of end-to-end software development lifecycle.
• Ability to read and understand requirements and design documents.
• Good Analytical skills and should be self-driven. Good communication with interpersonal skills.
• Open to learning new technologies and domains.
• A good team player and ready to take up new challenges
• Languages: Java(J2SE), J2EE (Servlets, JSPs, JDBC)
• Databases: MySQL, Oracle, SQL Server, PostgreSQL.
• DB Script: SQL and PL/SQL
• Frameworks: Spring, Spring Boot, Jersey, Hibernate and JPA
• OS: Windows, Linux/Unix.
• Cloud Services: AWS and Azure (Good to have)
• Version Control tools: Git, Bitbucket.
• Deployment Servers: Tomcat, JBoss, and Web sphere
• Build Tools: Gradle/Maven

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu
• Strong practical knowledge of Python and its libraries.
• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
• Good knowledge of CI/CD and DevOps practices
• Good Experience of Python with Django/ Scrapy/ Flask frameworks.
• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.
• Strong analytical thinking and problem-solving skills.
• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
• Preferred if had an OpenEdx platform experience or any LMS platform. 

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)

You will be responsible for:

• Building Python scripts to deploy our AI components into pipeline and production
• Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
• Managing our daily pipeline on both on-premise servers and AWS
• Working closely with the AI engineering, backend and frontend teams

You should have the following qualities:

• Deep expertise in Python including:
• Multiprocessing / multithreaded applications
• Class-based inheritance and modules
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
• Optimal multithreading / multiprocessing strategies
• Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
• Experience in creating soft real-time processing tasks is a plus
• Expertise in Docker-based virtualization including:
• Creating & maintaining custom Docker images
• Deployment of Docker images on cloud and on-premise services
• Experience with maintaining cloud applications in AWS environments
• Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
• Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
• Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
• Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 

Sr. PHP Developer

Position: Senior Laravel Developer

Key Responsibilities:

·        Develop and create websites, applications, and systems

·        Participate on the Development and Testing Phase of the Projects

·        Participate as a member of the Scrum team

·        Maintain and enhance existing Projects

·        Deliver quality output on all Projects

·        Showcase your analytical and problem-solving ability.

·        Guide and Mentor other developers

·        Be updated on the latest technologies

Requirements:

· More than 4-8 years’ experience in PHP

· Must have minimum 4 years work experience in Laravel framework

· Knowledge and experience in: MySQL, JQuery, Bootstrap, HTML,CSS

· Knowledge on Coding Standards, Design Patterns, and Best Practices

· Has experience and understanding on Agile Software Development.

· Ability to prioritize and handle multiple tasks and projects concurrently.

· Able to mentor, collaborate and guide other team members

· Team Player, Proactive and Accountable