
SSE- Test & DevOps Engineer
at IT solutions specialized in Apps Lifecycle management. (MG1)
- Java automation
- Automation Testing
- BDD/Cucumber framework for UI and RestAPI testing using Maven
- Responsible for End to end CI/CD setup and maintenance.
- Designing the CI/CD architecture & building pipelines
- Support in defining the Three-tier architecture.
- Should have good knowledge in Testing Strategies
- Handle the Monolith and modern application.
Secondary:
- To lead DevOps activities in the team.
- Lead the upskill program within the team
- Train the team on the required technologies
- Coordination with different IT stakeholders as and when needed
- Suggestion and Implementation of further toolchains towards DevOps and GitOps
- Responsible to train the peer colleagues
Skills:
- Good hands-on experience in Java
- Automation Testing tools like selenium, LeanFT, etc.
- Should have implemented BDD/Cucumber framework for UI and RestAPI testing.
- Should have working experience with build management tools like Maven, Gradle, Ant, etc.
- Responsible for End to end CI/CD setup and maintenance.
- Should have written the pipeline in Jenkins e.g. scripted pipelines.
- Support in defining the Three-tier architecture.
- Should have good knowledge in Testing Strategies
- Handle the Monolith and modern application.
- Should have executed automation tests using Docker containers (selenium as the grid)
- Knowledge of containerization
- Hands-on Kubernetes experience would b
- Expert knowledge of Source Control Systems, build & integration tools (e.g., GIT, Jenkins & Maven).
- Hands-on experience with designing the CI/CD architecture & building pipelines (on On-prem, Cloud & Hybrid infrastructure services).
Good to have:
- Experience with monitoring tools like Prometheus-Grafana & Dynatrace.
- Experience with log management tools (e.g. ELK/EFK stack, Azure monitor, or similar).
- Experience with Infrastructure as a Service / Cloud computing (preferably Azure).
- Experience with Open Liberty, JBoss, etc.
- Hands-on experience with multiple database products like IBM DB2, PostgreSQL, etc.
- Writing automation scripts in Unix shell, Perl, etc. would be preferred
- Application development/automation experience using Python would an added advantage
- Brownie points for having:
Certifications:
- Certified DevOps engineer
- Azure Admin / Solution Architect
- Certified Kubernetes Administrator (CKA)

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Job Title : Product Manager (Tech-to-PM | Ground-Up Product)
Location : Bangalore, India (On-site)
Type: Full-time
Company Overview -.About the Company You will join BIGAIRLAB (https://www.bigairlab.com/)(part of a group of companies) at a critical pilot-to-scale phase of our product journey. We are a lean, high-growth technology & AI venture, building enterprise and consumer-facing AI products across India, UAE, and the US.
As we move from prototype to scalable product, we are looking for a hands-on Product Manager who was a developer until recently and transitioned into Product Management in the last 1–2 years. This role requires strong technical depth, the ability to think like an engineer, and the mindset of a product owner who can drive clarity, execution, and rapid iteration.
Key Responsibilities
• Own and drive the end-to-end product lifecycle: ideation, requirements, MVP definition, development, launch, iteration, and scale.
• Define product vision, roadmap, and priorities in close partnership with founders and key stakeholders.
• Translate business and customer needs into clear product requirements, user stories, acceptance criteria, and backlog prioritization.
• Work deeply with engineering teams (frontend, backend, QA, AI/ML, and UI/UX) to ensure feasibility, quality, and timely delivery.
• Leverage your prior developer experience to review technical approaches, understand architecture trade-offs, APIs, data flows, and performance constraints.
• Act as the bridge between business and engineering—ensuring clarity, speed, and alignment, especially during the pilot phase.
• Define, track, and improve product metrics and KPIs (usage, adoption, performance, user feedback, reliability).
• Drive agile execution: sprint planning, reviews, backlog grooming, and release planning.
• Collaborate with stakeholders across business, operations, sales, and customer teams to manage expectations and ensure alignment.
• Support go-to-market activities including documentation, release notes, and early customer feedback loops.
Required Qualifications & Skills
• Bachelor’s degree in Computer Science / Engineering or equivalent technical discipline.
• Strong prior experience as a software developer, with a transition into a Product Manager role within the last 1–2 years.
• Hands-on understanding of both frontend and backend systems:
◦ Frontend: modern web frameworks, UX considerations, performance tradeoffs.
◦ Backend: APIs, databases, system architecture, integrations, scalability.
• Ability to comfortably deep-dive with engineers and challenge or validate technical decisions.
• Working knowledge of AI/ML-driven products, data pipelines, or LLM-based systems is a strong plus.
• Experience working in startup or early-stage environments, preferably on products built from the ground up.
• Strong analytical and problem-solving skills; data-driven approach to decisionmaking.
• Excellent communication skills—able to articulate technical concepts to nontechnical stakeholders.
• Comfortable with ambiguity, rapid change, and wearing multiple hats.
Desirable / Nice-to-Have
• Exposure to SaaS, enterprise B2B, or AI-first products.
• Experience working with or building products for India and/or Middle East (UAE) markets.
• MBA or formal product management training is a plus (but not mandatory).
Ideal Candidate Profile
• A former engineer turned Product Manager, still close to the code and deeply technical.
• Someone who enjoys building from zero to one, not just optimizing mature products.
• Comfortable switching between strategy and execution, vision and detail.
• Collaborative, decisive, and ownership-driven.
• Motivated by impact, learning, and growth rather than rigid role boundaries.
What We Offer
• Opportunity to play a foundational role in shaping a core product and company direction.
• High ownership, visibility, and direct collaboration with founders.
• Exposure to global markets (India, UAE, US).
• Competitive compensation with base + performance bonus + equity/ESOPs. • Fast-paced environment with real responsibility and rapid learning.
We are looking for a Data Engineer to help build and scale the data pipelines and core datasets that power analytics, AI model evaluation, safety systems, and business decision-making across Bharat AI’s agentic AI platform.
This role sits at the heart of how data flows through the organization. You will work closely with Product, Data Science, Infrastructure, Marketing, Finance, and AI/Research teams to ensure data is reliable, accessible, and production-ready as the platform scales rapidly.
At Proximity, you won’t just move data — your work will directly influence how AI systems are trained, evaluated, monitored, and improved.
Responsibilities -
- Design, build, and manage scalable data pipelines, ensuring user event data is reliably ingested into the data warehouse.
- Develop and maintain canonical datasets to track key product metrics such as user growth, engagement, retention, and revenue.
- Collaborate with Infrastructure, Data Science, Product, Marketing, Finance, and Research teams to understand data needs and deliver effective solutions.
- Implement robust, fault-tolerant systems for data ingestion, transformation, and processing.
- Participate actively in data architecture and engineering decisions, contributing best practices and long-term scalability thinking.
- Ensure data security, integrity, and compliance in line with company policies and industry standards.
- Monitor pipeline health, troubleshoot failures, and continuously improve reliability and performance.
Requirements
- 3-5 years of professional experience working as a Data Engineer or in a similar role.
- Proficiency in at least one data engineering programming language such as Python, Scala, or Java.
- Experience with distributed data processing frameworks and technologies such as Hadoop, Flink, and distributed storage systems (e.g., HDFS).
- Strong expertise with ETL orchestration tools, such as Apache Airflow.
- Solid understanding of Apache Spark, with the ability to write, debug, and optimize Spark jobs.
- Experience designing and maintaining data pipelines for analytics, reporting, or ML use cases.
- Strong problem-solving skills and the ability to work across teams with varied data requirements.
Desired Skills -
- Hands-on experience working with Databricks in production environments.
- Familiarity with the GCP data stack, including Pub/Sub, Dataflow, BigQuery, and Google Cloud Storage (GCS).
- Exposure to data quality frameworks, data validation, or schema management tools.
- Understanding of analytics use cases, experimentation, or ML data workflows.
Benefits
- Best in class compensation: We hire only the best, and we pay accordingly.
- Proximity Talks: Learn from experienced engineers, data scientists, and product leaders.
- High-impact work: Build data systems that directly power AI models and business decisions.
- Continuous learning: Work with a strong, collaborative team and grow your data engineering skills every day.

Experience 3 to 8 Years
Skill Set
- experience in algorithm development with a focus on signal processing, pattern recognition, machine learning, classification, data mining, and other areas of machine intelligence.
- Ability to analyse data streams from multiple sensors and develop algorithms to extract accurate and meaningful sport metrics.
- Should have a deeper understanding of IMU sensors and Biosensors like HRM, ECG
- A good understanding on Power and memory management on embedded platform
- Expertise in the design of multitasking, event-driven, real-time firmware using C and understanding of RTOS concepts
- Knowledge of Machine learning, Analytical and methodical approaches to data analysis and verification and Python
- Prior experience on fitness algorithm development using IMU sensor
- Interest in fitness activities and knowledge of human body anatomy
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
F5 is looking for a Principal Software Engineer with experience in building FIPS-ready cryptography-based security solutions at scale. You will participate in the design and implementation of F5’s Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, design, implementation, deployment, operational management, and debugging of security services of F5’s platform.
Responsibilities:
- Collaborate with architects and business leaders to understand the requirements for providing FIPS-ready cryptography-based security services for F5’s platform, design solutions, and implement them
- You will develop software for identity related security foundations of Volterra platform - Identity Management, Key Management, Secure Bootstrapping, Authentication, Authorization, Secrets Management, etc.
- You will perform necessary compliance tasks – including building and executing the test suites – required for making systems and libraries ready for FIPS
- You will vet various open source and closed source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
- Demonstrate technical leadership in multiple domain areas, providing mentorship to other team member
- Demonstrate leadership by taking responsibility and ownership of software components and deliver a complete product satisfying functional, scale, performance and manageability requirements
- Hands-on coding in multiple languages while considering performance, scalability, maintainability, and flexibility
Minimum Qualifications:
- BS/MS degree in Computer Science or equivalent with 12+ years of software engineering and development experience
- Hands on experience with multiple computer programming languages such as Golang (must), C++, Python, Java
- Hands-on experience with FIPS 140-2 and CMVP
- Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
- Good understanding of complexities and security challenges in large-scale distributed systems
- Good understanding of security concepts like IPSec/TLS, PKI, SAML/OAuth, Key management, etc.
- Experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google Compute etc.) is a plus
- Working knowledge of Virtualization technologies like KVM, Docker etc.
- Working knowledge of Cloud orchestration systems such as Kubernetes, Openstack etc.
- Excellent written and verbal communication skills
- Strong interpersonal, team building, and mentoring skills
-Maintaining a positive, empathetic and professional attitude toward customers at all times.
-Responding promptly to customer inquiries.
Acknowledging and resolving customer complaints.
- Ensure customer satisfaction and provide professional customer support.
-Follow company process accurately and efficiently Experience.
Designation : Technical Lead/ Architect – Java
Experience: 6+ yrs
Location: Noida
Skills- Must have: Architect exp, design, Strong on Java, cloud, latest tech stacks, hands-on, problem-solving, communication skills, client handling, sprint planning & execution, micro services, spring
Tech Skills Required:-
-7+ years of design/implementation/consulting experience with distributed applications.
- Experience in infrastructure architecture, database architecture, and networking
- Experience architecting/deploying/operating solutions
- Experience migrating or transforming legacy customer solutions to the cloud
- Working experience on Spring boot / similar frameworks using Java8/11
- Exposure to REST services, web sockets, SOAP services.
- Databases MySQL, PostgreSQL, NoSQL like MongoDB, Cassandra
- Queuing Systems like Rabbit MQ, ActiveMQ, Kafka
- Implemented MicroServices using design patterns like service discovery, circuit breakers, API Gateway, open-tracing.
- Experience in Security standards like OAUTH2.0, UMA, OpenID-connect.
- Hands-on knowledge on container tools like docker, podman
- Excellent in Problem-solving & solutioning
- Excellent communication skills
- Working knowledge on either of the Top 3 cloud solutions
Good to have:-
- gRPC
- Kubernetes/Openshift
- Pivotal Cloud Foundry, PKS
- GitHub profile with commit history.
- Certification equivalent to Solutions Architect.
Designing and implementing high quality software project in JAVA, SQL, J2EE and other java technologies
Software prototype
System architecture
Software design documentation
Test plan and test cases
Technical documentation.
Technical Skills:
- Hands-on experience with JavaScript/TypeScript ( NodeJS & ExpressJS) in) Development on both client and server-side
- Proficiency in HTML, CSS and front end frameworks(Angular 7, AngularJS)
- Having experience in building a responsive web design
- Experience with MongoDB and good knowledge in database concepts
- Experience with web frameworks like ExpressJS
- Developing secure Node.js end points using Passport, JWT, OAuth, and related technologies.
- Knowledge in Restful API Design
- Knowledge in unit testing tools like Karma, Jasmine etc..
- Experience with Version control systems like GIT and knowledge in GIT branching is necessary.
- Knowledge in continuous integration
- Strong object-oriented knowledge in any platform is a plus
- Proficiency and hands-on experience with one or more of the following: Backbone / KnockoutJS / EmberJS / ReactJS is a plus
- Knowledge in payment gateway integration is a plus
Responsibilities:
-
Working with an Agile Scrum team using tools such as JIRA.
-
Involving in writing functional specifications and technical documentation
-
Working with the peer developers and writing good quality codes and release features
-
Participation in internal code reviews
-
Direct interaction with the client









