
Experience Required: 3 - 7 years
Working Days: 5 days/week
Role & Responsibilities
- You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly
- You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs
- Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production
- Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs
- Developing software in Rust
- Maintaining and improving existing rust codebases.
Ideal Candidate
- Excited about working with Rust
- 4 -7 years of experience in shipping production applications
- B.Tech in Computer Science Engineering from Tier 1 Colleges only

Similar jobs
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: Lead I - (Web Api, C# .Net, .Net Core, Aws (Mandatory)
* Industry: Global digital transformation solutions provide
* Salary: Best in Industry
* Experience: 6 -9 years
* Location: Hyderabad
Job Description
Role Overview
We are looking for a highly skilled Senior .NET Developer who has strong experience in building scalable, high‑performance backend services using .NET Core and C#, with hands‑on expertise in AWS cloud services. The ideal candidate should be capable of working in an Agile environment, collaborating with cross‑functional teams, and contributing to both design and development. Experience with React and Datadog monitoring tools will be an added advantage.
Key Responsibilities
- Design, develop, and maintain backend services and APIs using .NET Core and C#.
- Work with AWS services (Lambda, S3, ECS/EKS, API Gateway, RDS, etc.) to build cloud‑native applications.
- Collaborate with architects and senior engineers on solution design and implementation.
- Write clean, scalable, and well‑documented code.
- Use Postman to build and test RESTful APIs.
- Participate in code reviews and provide technical guidance to junior developers.
- Troubleshoot and optimize application performance.
- Work closely with QA, DevOps, and Product teams in an Agile setup.
- (Optional) Contribute to frontend development using React.
- (Optional) Use Datadog for monitoring, logging, and performance metrics.
Required Skills & Experience
- 6+ years of experience in backend development.
- Strong proficiency in C# and .NET Core.
- Experience building RESTful services and microservices.
- Hands‑on experience with AWS cloud platform.
- Solid understanding of API testing using Postman.
- Knowledge of relational databases (SQL Server, PostgreSQL, etc.).
- Strong problem‑solving and debugging skills.
- Experience working in Agile/Scrum teams.
Good to Have
- Experience with React for frontend development.
- Exposure to Datadog for monitoring and logging.
- Knowledge of CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, etc.).
- Containerization experience (Docker, Kubernetes).
Soft Skills
- Strong communication and collaboration abilities.
- Ability to work in a fast‑paced environment.
- Ownership mindset with a focus on delivering high‑quality solutions.
Skills
.NET Core, C#, AWS, Postman
Notice period - 0 to 15 days only
Location: Hyderabad
Virtual Interview: 7th Feb 2026
First round will be Virtual
2nd round will be F2F
Description
Our Engineering team is at the heart of Sarvika’s ability to deliver enterprise-grade digital
products and experiences. As React specialists, they build performant, scalable, and
secure web applications that empower businesses to innovate and grow faster. By
combining technical excellence with relentless collaboration, our engineers solve complex
challenges, streamline processes, and bring ideas to life with speed and precision.
Engineers in this role actively contribute to Sarvika’s component libraries and design
system accelerators, ensuring code and design remain in sync across multiple domains.
They work on enterprise-scale solutions, including headless and composable commerce,
complex integrations, and next-generation mobile applications.
Here’s what you should know if you want to be a React Developer at Sarvika.
Requirements
The ideal person
● Strong portfolio or GitHub demonstrating impactful React projects.
● Experience leading or significantly contributing to all stages of the software
development lifecycle.
● Deep understanding of component-based architecture, state management, and
modern JavaScript/TypeScript practices.
● Proven hands-on experience with React, TypeScript, and Next.js.
● Excellent problem-solving and communication skills to clearly articulate technical
decisions.
● Commitment to writing clean, testable, and maintainable code.
● Proven ability to work in Agile teams, contributing to strategies that align with
business and user goals.
Desirable Skills
● Strong knowledge of JavaScript, TypeScript, ES6+, and functional programming
principles.
● Familiarity with major libraries and frameworks (Redux, React Query, etc.).
● Experience integrating RESTful APIs and GraphQL into front-end applications.
● Understanding of accessibility standards (WCAG) and inclusive development best
practices.
● Experience with automated testing frameworks (Jest, Cypress) and QA
collaboration.
● Solid grasp of modern front-end tooling: Vite, Babel, ESLint, Prettier.
● Experience collaborating with designers and product managers to refine
● requirements and deliver exceptional user experiences.
● Knowledge of design systems and component libraries, with ability to extend or
contribute to them.
● Proficiency with tools like Git, Jira, Confluence, and GitHub/GitLab workflows.
● Ability to mentor junior engineers, foster technical excellence, and promote best
practices.
● Passion for staying current with emerging front-end and mobile technologies.
● Experience with React Native and cross-platform mobile development.
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 Summary:
We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.
Key Responsibilities:
Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.
Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.
Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.
Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.
Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.
Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.
Required Qualifications:
5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.
Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.
Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.
Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.
Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.
Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.
Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.
Experience implementing and maintaining CI/CD pipelines with industry-standard tools.
Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).
Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.
Excellent problem-solving skills, attention to detail, and a proactive mindset.
Strong communication skills and the ability to collaborate with diverse technical teams.
Preferred Qualifications (Nice to Have):
Experience with other Python frameworks (FastAPI, Django)
Knowledge of container orchestration tools like Kubernetes
Familiarity with monitoring tools like Prometheus, Grafana, or Datadog
Prior experience working in an Agile/Scrum environment
Contributions to open-source projects or technical blogs
Position of the role
The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.
Result expectation in terms of result areas and core activities
The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.
Main objectives of the role
✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.
✔ Driving innovation and continuous improvements in software development practices.
✔ Providing technical mentorship and coaching to engineers across teams.
✔ Ensuring the successful delivery of high-quality software aligned with business requirements.
✔ Defining and maintaining coding standards, best practices, and governance frameworks.
✔ Collaborating with product management and other stakeholders to shape the technical roadmap.
✔ Identifying technical debt and implementing strategies to mitigate it effectively.
✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.
✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.
Specialisation
✔ Deep understanding of software architecture, system design, and performance optimization.
✔ Translating complex business requirements into scalable and efficient software solutions.
✔ Handling large data transformations and ensuring system efficiency under the required load conditions.
✔ Leading initiatives for modernizing the technology stack and implementing best practices.
✔ Ensuring that security, scalability, and maintainability are embedded into development processes.
✔ Driving research and development efforts to explore emerging technologies and their business impact.
✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.
✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.
Key processes in the role
✔ Agile / Scrum / Kanban development methodologies.
✔ CI/CD and DevOps practices to streamline delivery.
✔ Cloud-native architecture, monolith and microservices-based development.
✔ Scalable and high-performance computing strategies.
✔ Secure software development lifecycle (SDLC).
✔ Data-driven decision-making.
✔ Performance optimization.
Key relationships (teams and/or position titles)
✔ Engineering Teams (Developers, QA, DevOps).
✔ Head of Engineering and Technology Leadership.
✔ Product Management and Business Stakeholders.
✔ Customer Success and Solution Architects.
✔ External Technical Partners and Vendors.
Requirements
✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
✔ 10+ years of experience in software development, with a proven track record .
✔ Strong experience in Python and modern software engineering practices.
✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).
✔ Experience in architecting and developing scalable, high-performance applications.
✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.
✔ Deep understanding of microservices, monolith, APIs, and distributed systems.
✔ Strong experience with database technologies, including SQL and NoSQL.
✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.
✔ A passion for mentoring, coaching, and fostering a strong engineering culture.
✔ Experience in defining and implementing technical governance and best practices.
Competences
✔ Strategic Thinking - 4
✔ Analytical Problem Solving - 4
✔ Technical Leadership & Mentorship - 4
✔ Communication & Collaboration - 3
Measures of success
✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.
✔ Delivery of high-quality software within agreed timelines and business requirements.
✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.
✔ Reduction of technical debt through strategic refactoring and modernization.
✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.
✔ Improvements in system performance, stability, cost-optimization, and security.
✔ Adoption of best practices and emerging technologies across teams.
✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.
About PCL Health:
We are an age-tech startup revolutionising healthcare with real-time data. We are creating a connected-care ecosystem that uses AI-enabled Health Algorithms and medical devices (IoT & Wearables) to digitise medical information exchange. In short, we want to allow older adults to live independently at their homes and enjoy their moments while keeping everyone informed. Our mission is to provide doctors, carers and family relatives with predictive tools capable of picking up health problems before they become severe, therefore saving time, money and lives.
Senior .NET Developer’s Role:
Every member of the technology team is responsible for:
-
The availability, security, scalability, and interoperability of our platform
-
Delivering our product roadmap
-
Planning for the future
-
Generating enthusiasm and a sense of both technical and product pride
As a Senior .NET Developer, you play a key role in ensuring your team can efficiently turn ideas into reality. You’ll need to:
-
Write technically sound, clean, maintainable code with practical application of established patterns and practices
-
Take technical ownership of your team’s work, from its infancy through to delivering great implementation in production that pushes our standards higher and higher
-
Believe in testing and make sure your code is always tested and the quality standards are always high
-
Contribute to the definition and keep to the processes, standards and designs your team has agreed upon
-
Track the progress that you are making towards the wider goals of your team, and transparently communicate that progress to your team and Technical Lead
-
Ensure you and others are continuously improve, by proposing and implementing new processes, designs and engineering practices that make the team more effective
-
Take responsibility for supporting your changes all the way through proving they work well and continue to work well in production
Your skills and experience
Essential for this position:
-
At least 4 years of commercial experience with C# and .NET
-
At least 2 years of experience with React.js/Vue.js
-
At least 2 years of commercial experience with Microsoft Azure (or AWS)
-
Designing and developing APIs for both high availability and scalability
-
Writing automated tests (both unit and integration tests)
-
Experience with CI/CD pipelines (ideally Azure DevOps)
You would get extra points for any of the following:
-
TDD and BDD
-
Contributing to open source community
-
DevOps, monitoring and alerting
-
Experience with Health-tech, FHIR, Wearables, IoT
-
If you can join within 1 month
Please find the JD details below.
Tech Stack Expected: Java 8/11, Spring Boot, Spring Cloud, JUnit/Mockito, MySQL, Kafka, Avro, git, Jenkins, PCF, DDD/BDD/TDD.
- We are looking for candidates with strong programming experience of more than 3 years and deep knowledge on data structure and algorithms.
- Need strong in Spring Cloud
- Strong experience in Microservices
- DS and Algorithms: looking for problem solving skills. Who can Optimize code
- PCF: Manage the pipeline by Developer. Dev need to own it.
- Fundamental knowledge on Docker and Kubernetes will be helpful. Know how on Scale up and down etc...
- Secure coding practices
- Nice to have Pair programming experience:








