Software Design Engineer 2

Role Summary:

We are looking for a hands-on Java Solution Architect to design and lead scalable, secure, event-driven platforms. The ideal candidate has deep expertise in Java/Spring Boot microservices, Kafka, Redis/KeyDB, and open-source databases (Cassandra, PostgreSQL), with experience building high-throughput, low-latency systems.

Experience- 10+yrs

Key Responsibilities

• Architecture & Design
• Define service boundaries using DDD; create service contracts and API specifications.
• Design Kafka-based event flows (topics, partitions, retention, DLQs, idempotency).
• Choose fit-for-purpose storage (Cassandra vs PostgreSQL) for workloads:
• Cassandra for time-series, high write throughput, and horizontal scaling.
• PostgreSQL for transactional integrity, complex joins, and reporting.
• Engineer caching strategies using Redis/KeyDB (read-through/write-through, TTL, eviction).
• Establish NFRs (performance, availability, RPO/RTO) and capacity planning.
• Security & Compliance
• Implement OAuth2/OIDC, mTLS, token-based auth, key rotation, encryption at rest/in transit.
• Work with InfoSec/AppSec for threat modeling, VAPT, secure SDLC integration.
• DevOps & Observability
• Drive CI/CD pipelines (blue/green/canary), container orchestration (Kubernetes).
• Define SLOs/SLIs; implement metrics, logs, traces; promote proactive alerting.
• Governance & Standards
• Publish architecture guidelines, coding standards, and API governance (versioning, deprecation).
• Champion documentation (ADR, sequence diagrams, data flow, runbooks).
• Mentoring & Leadership
• Coach engineers; conduct design/code reviews; lead PoCs and migrations.
• Collaborate with Product/Delivery to align scope, timelines, and risk mitigation.

Required Technical Skills (Deep Expertise)

• Java: Java 17+, Spring Boot, Spring Cloud, reactive programming (WebFlux).
• Microservices: API Gateway, service mesh (Istio/Linkerd), resilience (Resilience4j).
• Kafka: Kafka Connect, Streams, consumer lag management, schema registry (Avro/JSON).
• Redis/KeyDB: Cluster configuration, HA, persistence (AOF/RDB), pub/sub and streams.
• Databases:
• Cassandra: Data modeling (partition keys, clustering), consistency levels, compaction strategies.
• PostgreSQL: Indexing strategies, partitioning, query planning, isolation levels, VACUUM.
• Cloud & Infra: Docker, Kubernetes, Helm/Terraform; AWS/Azure/GCP (EKS/AKS/GKE).
• Observability: Prometheus, Grafana, ELK/EFK, OpenTelemetry.
• Security: JWT, mTLS, secrets management (Vault/KMS), OWASP Top 10, compliance-aware design.

Soft Skills

• Strong stakeholder communication; ability to simplify complex technical decisions.
• Ownership mindset; risk identification and mitigation.
• Mentorship; collaborative leadership across cross-functional teams.

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.

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

Backend – Software Development Engineer II

Experience: 4–7 years

Location: Bangalore

Work Mode - Hybrid

About Wekan Enterprise Solutions

Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.

Job Description

We are looking for passionate software engineers eager to be a part of our growth journey. The right candidate needs to be interested in working in high-paced and challenging environments. Interested in constantly upskilling, learning new technologies and expanding their domain knowledge to new industries. This candidate needs to be a team player and should be looking to help build a culture of excellence. Do you have what it takes?

You will be working on complex data migrations, modernizing legacy applications and building new applications on the cloud for large enterprise and/or growth stage startups. You will have the opportunity to contribute directly into mission critical projects directly interacting with business stakeholders, customer’s technical teams and MongoDB solutions Architects

What you will do

• Own backend features and migration workstreams end to end, from understanding the existing codebase and data model to delivering production-ready implementations.
• Build and enhance Java/Spring Boot services used in modernization, migration, and cloud transformation projects.
• Design and implement backend flows that are safe under retries and partial failures, with clear thinking around validation, transaction boundaries, idempotency, and downstream side effects.
• Work across application, database, and deployment layers to improve reliability, maintainability, and operational visibility.
• Model data based on access patterns and business workflows, with sound choices around schema design, indexing, and query performance.
• Investigate production issues using logs, request traces, database state, and service behavior; identify root causes and implement durable fixes.
• Collaborate with internal teams, customer engineering teams, architects, and stakeholders to deliver high-quality solutions on mission-critical projects.
• Write clean, modular, testable code and participate actively in sprint ceremonies, code reviews, design discussions, and release activities.

What we’re looking for

• 4–7 years of backend engineering experience, with strong hands-on delivery in Java-based systems.
• Solid experience with Java, Spring Boot, and microservice-style backend development.
• Demonstrated ownership of at least one meaningful backend service or feature area in production.
• Strong understanding of backend engineering fundamentals, including service reliability, data consistency, failure handling, and production-grade design considerations.
• Strong database fundamentals, including schema design, query writing, indexing, and performance reasoning.
• Strong depth in MongoDB or a relational database such as Oracle, with working comfort across both styles being a plus.
• Ability to investigate and resolve real production issues across services and databases, including consistency, performance, and reliability problems.
• Hands-on experience with testing frameworks such as JUnit and Mockito.
• Proficiency with Git, including branching, code review workflows, and conflict resolution.
• Strong communication skills and the ability to collaborate effectively with engineers, stakeholders, and customers.

Preferred qualifications

• Experience working on legacy modernization, data/service migrations, or decomposition of existing systems into cleaner service boundaries.
• Exposure to both MongoDB and relational databases, including query tuning, indexing, and production troubleshooting.
• Familiarity with Oracle PL/SQL or migration of logic from database-heavy systems into service-layer Java code.
• Exposure to CI/CD deployment and cloud environments like AWS, Azure, or GCP.

About Gyaan:

Gyaan empowers Go-To-Market teams to ascend to new heights in their sales performance, unlocking boundless opportunities for growth. We're passionate about helping sales teams excel beyond expectations. Our pride lies in assembling an unparalleled team and crafting a crucial solution that becomes an indispensable tool for our users. With Gyaan, sales excellence becomes an attainable reality.

About the Job:

Gyaan is seeking an experienced backend developer with expertise in Python, Django, AWS, and Redis to join our dynamic team! As a backend developer, you will be responsible for building responsive and scalable applications using Python, Django, and associated technologies.

Required Qualifications:

• 2+ years of hands-on experience programming in Python, Django
• Good understanding of CI/CD tools (Github Action, Gitlab CI) in a SaaS environment.
• Experience in building and running modern full-stack cloud applications using public cloud technologies such as AWS/
• Proficiency with at least one relational database system like MySQL, Oracle, or PostgreSQL.
• Experience with unit and integration testing.
• Effective communication skills, both written and verbal, to convey complex problems across different levels of the organization and to customers.
• Familiarity with Agile methodologies, software design lifecycle, and design patterns.
• Detail-oriented mindset to identify and rectify errors in code or product development workflow.
• Willingness to learn new technologies and concepts quickly, as the "cloud-native" field evolves rapidly.

Must Have Skills:

• Python
• Django Framework
• AWS
• Redis
• Database Management

Qualifications:

• Bachelor’s degree in Computer Science or equivalent experience.

If you are passionate about solving problems and have the required qualifications, we want to hear from you! You must be an excellent verbal and written communicator, enjoy collaborating with others, and welcome discussing a plan upfront. We offer a competitive salary, flexible work hours, and a dynamic work environment.

Job Description:
7+ years of experience as a Techno-Functional specialist supporting a finance organization with an emphasis on project management.

Must have 2-3 Project implementation and more than one support experience in Oracle EBS R12.

Expert level knowledge of Oracle Applications Framework, Oracle Workflow, Oracle Forms, Oracle Report, XML Report, PLSQL

Functional knowledge in financial module like, GL,AP, AR PO, Project is must Extensive use of oracle APIs and interfaces Experience in performance tuning of the code Experience in shell scripting.

Worked on Oracle Alert, AME, OAM ,DFF etc Good to have ADF experience Good to have ORDS experience Good to have exposure in cloud technology.

Responsibilities:
Act as a senior liaison between Business partners and IT communities Facilitate cross-functional teams through business process and application initiatives from requirements definition to prototyping, design, development, testing, training, and deployment.

Create technical designs to support business requirements.

Lead the development of technical solutions. Communicate project status and escalate issues to management. Develop and execute system test plans and scenarios.

Assist in preparing training materials for deployment of applications, modules, enhancements and bug fixes.

Assist in developing baseline datasets and reports to support testing of technical solutions.

Roles and Responsibilities:

• Own development, design, scaling, and maintenance of application and messaging engines that power the central platform of Capillary's Cloud CRM product.

• Work on the development of AI and data science products for various use cases. Implement PoCs in Python, and Spark-Scala and productize the implementations.

• Contribute to overall design and roadmap.

• Mentor Junior team members.

Required Skills:

• Innovative and self-motivated with a passion to develop complex and scalable applications.

• 3+years of experience in software development with a strong focus on algorithms and data structures.

• Strong coding and design skills with prior experience in developing scalable & high-availability applications. Expertise in using Core Java/J2EE or Node.js

• Work experience with Relational databases and Non-Relational is required (Primarily MySQL, MongoDB, and Redis)

• Familiarity with big data platforms (like Spark-Scala) is an added plus.

• Strong Analytical and Problem Solving Skills.

• BTech from IIT or BE in computer science from a top REC/NIT.

Job Perks

• Competitive Salary as per market standards

• Flexible working hours

• Chance to work with a world class engineering team.

Why Join Us:

Be part of a fast-moving tech team building impactful, user-friendly apps with modern development practices and a collaborative work culture.

Capillary is an Equal Opportunity Employer and will not discriminate against any applicant for employment on the basis of race, age, religion, sex, veterans, individuals with disabilities, sexual orientation, or gender identity.

Disclaimer:

It has been brought to our attention that there have recently been instances of fraudulent job offers, purporting to be from Capillary Technologies. The individuals or organizations sending these false employment offers may pose as a Capillary Technologies recruiter or representative and request personal information, purchasing of equipment or funds to further the recruitment process or offer paid training. Be advised that Capillary Technologies does not extend unsolicited employment offers. Furthermore, Capillary Technologies does not charge prospective employees with fees or make requests for funding as a part of the recruitment process.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

We are looking for a Tech with a proficiency in backend technologies to design, develop a new state-of-the-art, paradigm changing product in software development. Responsibilities include evaluating technologies, developing proof-of concept prototypes, designing, and developing complete end-to-end products.

What would you be doing?

• should be able to mentor, guide, and train other engineers.
• should also be able to work with different stakeholders such as business owners, leadership, and customers.
• able to evaluate the business requirements, performance constraints, trade-offs and system limitations when developing software.
• should be well versed with new technologies and software development practices and be able to judge the trade-offs to make well thought out decisions, design choices and build the system for extensibility and robustness.
• The Django developer will be part of the core engineering team, entrusted with the complete architecture, design and development of the product.
• Work on a great product which empowers next generation entrepreneurs from its early phase

What makes you a suitable candidate?

• 1+ years of experience in designing and developing large scale, complex software applications
• Strong analytical, problem solving and design skills
• Strong knowledge of data structure, algorithms, and coding
• Proven experience in any high-level programming languages like Python, Django, DRF, Elasticsearch etc
• Knowledge of MVC architecture and hands-on experience with Spring, Spring security, Spring boot, and Hibernate framework
• Proven experience in database technologies (SQL, NoSQL, MongoDB).
• Working knowledge of developing Restful Micro services, ORM technologies etc
• Experience in container-based deployments
• Working experience in Amazon DynamoDB, Docker, AWS-Lambda
• Experience with Messaging technologies like Kakfa, RabbitMQ, redis etc
• Ability to multitask
• Good communication, organizational and leadership skills