Senior Software Engineer Jobs

789,097 open positions · Updated daily

Senior Software Engineers are at the forefront of the digital transformation wave, with 2,565 roles open across AI, cloud-native, and edge computing domains. The demand is driven by companies accelerating cloud migration, adopting microservices architectures, and integrating AI into product pipelines, resulting in a 30% salary premium for candidates who master Kubernetes, Terraform, and multi-cloud strategies.

Within the Senior Software Engineer category, roles split into platform architects, DevOps leads, backend specialists, and AI/ML engineers. Typical responsibilities include designing distributed systems that scale to millions of users, building CI/CD pipelines with GitHub Actions or ArgoCD, implementing observability with Prometheus and Grafana, and mentoring junior engineers while driving secure coding practices.

Salary transparency is critical for senior engineers because compensation can vary by stack and company size. Knowing the exact pay range for a Kubernetes‑focused role versus a .NET backend role helps engineers negotiate better offers, spot regional wage gaps, and make data‑driven career moves.

Full Stack Developer - Java and DevOps

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description highlights opportunities to shape technological innovation at IBM, focusing on Java development, Kubernetes operations, and observability strategies. It emphasizes growth, collaboration, and expertise in cutting-edge cloud-native solutions with clear career advancement potential.

Solution Architect

Company: IBM

Location: Houston, US

Posted Dec 23, 2025

This text describes a senior technical role at IBM emphasizing leadership in innovation, problem-solving, and strategic decision-making. It outlines responsibilities such as defining system architectures, driving organizational change, and collaborating on AI solutions. The role requires advanced technical skills in AI/ML, strong communication abilities, and experience with cloud platforms.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This job description outlines a Data Engineer role at IBM Consulting, requiring expertise in big data technologies like Spark, Hadoop, and Azure cloud platforms. Responsibilities include developing data solutions, building pipelines, and working with NoSQL databases. Required skills involve experience with Python/Scala, cloud ecosystems, and certifications in Azure or Data Bricks.

Process Delivery Specialist

Company: IBM

Location: Sapporo, JP

Posted Dec 23, 2025

This job description outlines a role in IBM Consulting focused on hybrid cloud and AI initiatives with global clients. The position involves BPO project delivery in Japan, requiring Japanese language skills (JLPT N1) and Microsoft Office proficiency. Responsibilities include executing business processes across accounting, human resources, and procurement, with emphasis on collaboration and innovation.

Business Transformation Consultant-Supply Chain Planning

Company: IBM

Location: Kolkata, IN

Posted Dec 23, 2025

This text promotes an IBM Consulting career emphasizing long-term client relationships, collaboration, and innovation in hybrid cloud and AI solutions. It highlights opportunities for professional growth, technical expertise, and impactful project delivery across industries.

Quality Engineer-Automation

Company: IBM

Location: Noida, IN

Posted Dec 23, 2025

The text promotes IBM Consulting's career opportunities, emphasizing collaboration, innovation, and growth. It highlights roles in automation testing with advanced tools, client-focused work, and professional development. The content showcases a supportive environment with technical expertise and global impact.

IBM SW Automation Brand Sales Specialist

Company: IBM

Location: Hong Kong, HK

Posted Dec 23, 2025

This job description highlights IBM's Software Solutions Brand Sales role, emphasizing technical expertise in automation solutions, client collaboration, and career growth opportunities. It promotes a supportive culture focused on innovation and making a global impact through digital transformation.

Senior Network Engineer - SDWAN

Company: IBM

Location: HORTOLANDIA, BR

Posted Dec 23, 2025

IBM Finance & Operations drives efficiency and innovation. The role involves network design, security, and collaboration with global teams. Required skills include SDWAN, BGP, and automation. IBM offers career growth and a dynamic environment.

Data Scientist (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This text promotes a career in IBM Consulting, emphasizing global collaboration, innovation in hybrid cloud and AI, and opportunities for professional growth. It highlights the role of a Data Scientist in solving complex problems using advanced tools and technologies, along with required skills in mathematics, programming, and cloud platforms.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 23, 2025

The text describes a career in IBM Consulting focusing on long-term client relationships, digital transformation, and professional growth opportunities. It highlights collaboration with global clients, strategic technology platforms, and a culture of innovation and learning.

Storage Developer

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

The text highlights IBM's role in infrastructure innovation, emphasizing collaboration, growth-oriented culture, and technical expertise requirements for a Storage Security Developer position. It showcases opportunities for career development and emphasizes the importance of problem-solving skills in a dynamic technological environment.

Java Senior Software Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job posting seeks a Senior Software Engineer with expertise in Kubernetes, OpenShift, and Quarkus integration for IBM's middleware product portfolio. The role involves leading Kubernetes ecosystem integration, enhancing developer experiences, and collaborating with users to process feedback. Requirements include 3+ years in open source development, Java programming, and cloud technologies like Docker and Kubernetes.

Frequently Asked Questions

What are the typical salary ranges for Senior Software Engineers?
In the U.S., Senior Software Engineers earn between $120,000 and $200,000 annually, depending on location and tech stack. In Europe, the range is €70,000–€110,000, while in India it spans ₹12,00,000–₹25,00,000. Companies factoring in advanced skills like Kubernetes, Terraform, or AI/ML often push the upper end of these brackets.
Which skills and certifications do Senior Software Engineers need?
Core languages include Go, Java, Python, TypeScript, and Rust. Must‑have tools are Docker, Kubernetes, Terraform, GitHub Actions, and Prometheus. Certifications such as AWS Certified Solutions Architect, GCP Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect Expert, and Certified Kubernetes Administrator (CKA) significantly boost employability.
How common is remote work for Senior Software Engineer roles?
Over 70% of senior engineering positions on the board offer fully remote or hybrid arrangements. Companies in the tech and fintech sectors prioritize flexibility, enabling engineers to work from any location while maintaining collaboration through Slack, Zoom, and remote‑first design reviews.
What career progression paths exist beyond Senior Software Engineer?
Typical trajectories include Staff Engineer, Principal Engineer, Distinguished Engineer, and Engineering Manager. Advancement often requires leadership in system design, cross‑team mentorship, and ownership of high‑impact projects, as well as contributions to open source or industry standards.
What industry trends are shaping Senior Software Engineer roles today?
Emerging trends include AI‑driven observability, serverless and edge computing, multi‑cloud orchestration, and infrastructure‑as‑code (IaC). Engineers who master cloud‑native patterns, continuous delivery, and data‑centric AI model deployment are in the highest demand.

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