Engineering managers decide whether to forward a resume to the technical screen by the first job's bullets on page one; if shipped scale and stack ownership aren't visible by then, the resume loses to one that shows both.
Featured Example
- Concrete latency numbers: Showing p95 latency dropping from 612ms to 184ms tells a hiring manager exactly what kind of performance work she has done.
- Money saved on infrastructure: Cutting cloud spend by about a quarter on a migration is the sort of business outcome engineering leaders read for.
- Mentoring shows up clearly: Naming two mentees who got promoted signals readiness for senior-level work without claiming the title.
Junior Example
The junior engineer profile fits one to three years post-bootcamp, internship, or CS degree. This resume needs to prove you've shipped real features to production, not just completed coursework, and that you can navigate a codebase with code review feedback.
- Real product impact early: Naming the route-detail screen used by 380 drivers shows the work made it to users, not just a sandbox.
- Test coverage numbers: Going from 41% to 68% coverage is a specific, junior-appropriate win that signals good engineering hygiene.
- Growing into on-call: Taking a secondary on-call shift one year in shows real readiness for more responsibility.
Senior Example
The senior engineer profile fits four to eight years owning features and services in production. This resume needs to prove system-level ownership: design docs you wrote, on-call rotations you carried, and the scale numbers behind the systems you shipped.
- Handled real scale: Absorbing a 3.2x traffic spike during open enrollment without paging is the kind of senior-level outcome teams hire for.
- Fewer late-night pages: Cutting pages from 30 to 9 a month is a concrete reliability win that mid-level engineers rarely own.
- Mentoring with a result: Naming a mentee who got promoted shows actual people-development, not just ‘leadership skills’ as a buzzword.
Staff Example
The staff engineer profile fits eight-plus years operating across teams on platform or architecture work. This resume needs to prove cross-team leverage: the migrations you led, the standards you set, and the engineers you mentored toward senior.
- Cross-team technical leadership: Setting strategy across six product teams and hitting active-active with zero customer impact is exactly the scope expected at Staff.
- Made the team faster: Cutting CI from 22 to under 7 minutes is the kind of force-multiplier win that distinguishes Staff from Senior.
- Developed other leaders: Coaching four seniors with two moving into Staff roles shows real influence on the engineering ladder, not just one’s own code.
Text Version Software Engineering
Elena Vasquez-Pratt
Seattle, WA | (206) 555-0164 | [email protected] | linkedin.com/in/elenavp
PROFESSIONAL SUMMARY
Software engineer with 8 years across backend, data, and developer tooling. I gravitate toward the messy seams between services: schema migrations, auth handoffs, the script nobody owns. Comfortable as the technical lead on a 3 to 5 person team and happy to do the boring documentation that keeps a project on schedule.
EXPERIENCE
Senior Software Engineer
Northkettle Software | Seattle, WA | 2022-Present
- Lead a 4-engineer team owning the billing platform, processing roughly 2.3M invoices per month.
- Designed the dual-write strategy that let us migrate from MySQL to Aurora Postgres with under 90 seconds of read-only time.
- Cut monthly cloud spend by about $84K by right-sizing the invoice-generation workers and moving batch jobs to spot instances.
- Run the team’s design-review meeting and authored the on-call onboarding doc used by every new hire.
- Mentor two mid-level engineers, including weekly 1:1s and structured stretch projects.
Software Engineer
Glacierbyte Networks | Bellevue, WA | 2019-2022
- Built the API gateway plugin that enforced rate-limits across 47 internal services.
- Replaced a brittle bash deploy pipeline with GitHub Actions and Terraform; deploy failures dropped from about 12% to under 2%.
- Owned the customer-facing webhook delivery service, which hit 99.97% successful-delivery SLO four quarters running.
- Wrote the team’s first load-testing harness using k6; results caught a connection-pool bug before a major launch.
Software Engineer
Coastpine Robotics | Tacoma, WA | 2017-2019
- Wrote ROS nodes in C++ for a warehouse robotics fleet of 60 units.
- Built the telemetry pipeline that streamed sensor data to BigQuery for the data-science team’s path-planning models.
- Diagnosed a CAN-bus timing bug that had been causing one robot per shift to halt mid-route.
- Took the lead role on the firmware update process after the previous owner left.
Software Developer
Heritage Mutual Insurance | Spokane, WA | 2015-2017
- Maintained the policy-quoting web app in C# and ASP.NET MVC used by 700 agents.
- Migrated 12 stored-procedure-heavy reports to Entity Framework and SQL views.
- Wrote the first automated regression suite the team had ever shipped.
- Volunteered for the after-hours deploy rotation and rewrote the deploy checklist.
Software Engineering Intern
Heritage Mutual Insurance | Spokane, WA | Summer 2014
- Built an internal tool that flagged duplicate claims, surfacing about 140 matches in a six-week pilot.
- Shadowed the actuarial-systems team and contributed a small ETL fix to a Friday-night batch job.
- Presented intern project to engineering leadership at end of summer.
EDUCATION
- B.S. Computer Science, University of Washington, 2015
- AWS Certified Solutions Architect – Associate, 2021
SKILLS
- Languages: Go, Python, TypeScript, C#
- Backend: PostgreSQL, Aurora, Kafka, gRPC, REST
- Cloud and infra: AWS (EKS, RDS, Lambda), Terraform, GitHub Actions
- Observability: Datadog, OpenTelemetry, PagerDuty
- Testing: pytest, Jest, k6, contract testing
- Practices: design review, on-call leadership, mentoring, incident response
- Architecture: event-driven systems, API design, schema migrations
- Collaboration: cross-team RFCs, technical writing
How to Write a Software Engineering Resume
01 Open with a profile that names your stack scope
Your profile should state your years building production software, the systems you’ve owned (backend services, mobile clients, data pipelines, platform tooling), and the primary languages in your daily work.
Name the scale you’ve operated at: requests per second, users served, data volume, or team size. An engineering manager scanning page one wants to place you on the stack and the seniority ladder within fifteen seconds. A profile that reads “six years building Go and Python backend services for fintech APIs serving twelve million users” places you instantly.
A profile that reads “experienced software engineer with strong technical skills” sends the resume to the bottom of the pile.
02 Quantify shipped impact with real numbers
Strong software engineering bullets carry numbers. Recruiters and engineering managers scan for three metric types first: scale, performance, and reliability.
Name request volume, p99 latency, error rates, deploy frequency, or cost reduction. Bullets without a number tend to read as duties, not contributions. Write “Cut checkout API p99 latency from 840ms to 210ms by replacing the ORM hot path with raw SQL” instead of “Improved API performance.” Write “Owned the pricing service handling 18k requests per second across three regions” instead of “Worked on backend services.” The bullets that advance further name the metric, the magnitude, and the technical lever you pulled.
03 Group bullets by system ownership category
Cluster your work into three to five categories that match how technical interviewers think: systems shipped, performance and reliability work, cross-team collaboration, and mentorship or hiring.
Under systems shipped, name the service, your role on it (sole owner, tech lead, contributor), the stack, and the production scale. Under performance and reliability, name incidents you led, on-call rotations you carried, and SLO improvements. Under collaboration, name the design docs you authored and the cross-team migrations you drove.
This grouping helps an engineering manager scan for the specific signal they need to fill the role, whether that’s distributed systems depth, frontend polish, or platform thinking.
04 Place your stack and tools above the fold
Software engineering resumes need a dedicated technical skills block on page one, directly under the profile. Engineering managers and technical recruiters use it as an ATS pass and a fast eligibility check before reading bullets.
Group the block into languages (Go, Python, TypeScript, Rust), frameworks and runtimes (React, Node, Django, Spring), data and infrastructure (PostgreSQL, Kafka, Kubernetes, Terraform), and cloud (AWS, GCP, Azure). List AI tools you use in your workflow (Cursor, GitHub Copilot, Claude Code) honestly. Certifications like AWS Solutions Architect or CKA sit in a separate block at the bottom of page one, with the issuing body and year.
05 Cut hobby projects and 10-year-old roles
Senior and staff resumes lose credibility when they pad page two with bootcamp projects, college coursework, or every freelance gig from a decade ago. Cut anything that doesn’t prove production scale, ownership, or leverage.
Drop the “objective” line, the GPA if you have four-plus years of experience, and the generic “proficient in agile methodologies” filler. Trim early-career roles to two bullets each, keeping only the highest-scale shipped work. Replace a long projects section with two or three open-source contributions or technical talks.
The goal is a two-page resume where every bullet earns its line by naming a system, a number, or a decision.
Most Popular Skills on Software Engineering Resumes for 2026
Software engineering hiring is tight in 2026. Engineering teams are running leaner after the 2023-2024 corrections, and the bar to clear a screen is higher. The skills below come from our user-built software engineering resumes.
Hard skills like Python and Kubernetes get you through the ATS keyword parse. Soft skills like cross-team collaboration get weighed in the engineering manager loop. Match the hard skills against the posting’s stack, and treat soft skills as the lens for writing your bullets, not a list to copy.
| Soft Skills | % of resumes with this skill |
|---|---|
| Problem-solving | 79% |
| Communication skills | 62% |
| Adaptability and learning | 47% |
| Analytical thinking | 40% |
| Teamwork and collaboration | 31% |
And here are the top hard skills showing up most often.
| Hard Skills | % of resumes with this skill |
|---|---|
| Python programming | 77% |
| Object-oriented design | 70% |
| SQL databases | 47% |
| REST API development | 35% |
| System design | 25% |
Based on data from thousands of software engineers’ resumes built on ResumeTemplates.com, May 2026.
Must Have on a Software Engineering Resume
Before a software engineering resume gets a closer read, hiring teams check for a short list of essentials.
Niche Keywords for ATS Checkers
Engineering managers and technical recruiters expect the resume to mirror the posting’s stack and seniority language. Group these terms into the skills block and the profile so the ATS keyword parse catches them.
| Niche | Keywords ATS scans for |
|---|---|
| Backend and API engineering | backend engineer, REST API, microservices, distributed systems |
| Senior and staff signals | senior software engineer, staff engineer, technical lead, system design |
| Full-stack and frontend | full-stack developer, React, TypeScript, Next.js |
| Platform and infrastructure | Kubernetes, Terraform, AWS, CI/CD pipelines |
| Data and ML adjacent | data pipelines, Kafka, Spark, ML infrastructure |
AI Skills to Add
What engineering managers expect on a software engineering resume has shifted: a resume that hides AI tooling now reads as out of touch, while an honest workflow naming Cursor or Copilot and the review steps you keep reads as current. The list below names what to add.
Boilerplate, test stubs, and obvious refactors now come from Copilot or Cursor; review judgment and system design stay human.
AI review bots catch style and obvious bugs first, so human reviewers focus on architecture, security, and edge cases.
Engineers draft architecture decision records and runbooks with LLM assistance, then edit for accuracy before merging.
On-call engineers paste stack traces and logs into AI tools for first-pass hypotheses, cutting time to root cause.
- Cursor or GitHub Copilot: List the one you actually use daily in your IDE for autocomplete, refactoring, and test generation.
- Claude Code or ChatGPT: Name it if you use it for design doc drafting, code review prep, or debugging unfamiliar stack traces.
Do
- Used Cursor to scaffold integration tests for the payments service, cutting test authoring time roughly in half while keeping coverage above 85 percent.
- Adopted GitHub Copilot across the team and authored the internal review checklist for AI-assisted pull requests.
Skip
- Leveraged cutting-edge AI to revolutionize the software development lifecycle.
- AI-powered full-stack engineer passionate about next-generation development.
Portfolio Strategy
A software engineering portfolio isn’t a graphic-design site. Engineering managers want to see code they can read, projects that ran in production, and writing that shows how you think about systems.
Pin four to six repos with real READMEs, recent commits, and tests; this is the default link recruiters click.
A simple static site with two or three technical write-ups on systems you've built or incidents you've debugged.
Reputation score, conference talks, or recorded meetup presentations carry weight for senior and staff roles.
Merged PRs in well-known repositories signal you can navigate large unfamiliar codebases under real review.
Pin the right repos. Default GitHub pins a year-old tutorial follow-along. Override that. Pin the four projects that best match the role you want: a backend service if you’re applying for backend, a CLI tool if you’re applying to a platform team.
Write READMEs an engineering manager will read. A good README names what the project does, the stack, how to run it locally, and one paragraph on a design decision you made. Skip the badge wall.
Don’t pad with bootcamp projects. Once you have two-plus years of shipped work, drop tutorial-style projects from the portfolio. They drag the average quality down.
Tech Stack to List on a Software Engineer Resume
Engineering managers and technical recruiters scan the skills block before reading any bullets. Mirror the posting’s stack first, then add adjacent tools you’ve used in production.
- Languages: Python, Go, TypeScript, Java, Rust
- Frameworks: React, Next.js, Node.js, Django, FastAPI, Spring Boot
- Data and Infrastructure: PostgreSQL, Redis, Kafka, DynamoDB, Elasticsearch
- Cloud and Tools: AWS, GCP, Kubernetes, Terraform, Docker, GitHub Actions
- AI tooling: Cursor, GitHub Copilot, Claude Code
- Observability: Datadog, Grafana, Prometheus, Sentry
Software Engineering Credentials That Get You the Job
Beyond a CS degree or bootcamp credential, the certifications below tell engineering managers which cloud and platform depth you bring to production work. List the issuing body and the year earned for each, in a dedicated block at the bottom of page one.
- AWS Certified Solutions Architect (Associate or Professional): Signals you can design production AWS systems beyond just deploying to EC2, which matters for most backend and platform roles.
- Certified Kubernetes Administrator (CKA): Carries weight for platform, infrastructure, and SRE-adjacent roles where Kubernetes operations are a daily part of the job.
- Google Cloud Professional Cloud Architect: Useful when the posting names GCP as the primary cloud, especially at companies running BigQuery or Spanner workloads.
- HashiCorp Certified: Terraform Associate: Light credential, but it signals infrastructure-as-code fluency for backend engineers crossing into platform or DevOps work.
Latest BLS Statistics for Software Engineers
The 90th-percentile software engineer out-earns the median by a wide margin, which tells you the market rewards system scope and stack specialization more than years on the job. Generalist breadth gets you to the median; depth in distributed systems, machine learning infrastructure, or a hard platform gets you to the top decile. Lead the resume with the systems you’ve designed and the scale they ran at, not a chronological list of jobs.
The top of the band gets paid for ownership and architecture decisions, not tenure.
Entry tier
$79,850 to $133,080 At the entry tier, your resume needs to show shipped features in production, the stack you used, and any internship or open-source contributions.Mid band
$133,080 to $211,450 At the mid band, lead with services you own end-to-end, the on-call rotations you carry, and concrete scale numbers on requests, users, or latency.Top decile
$211,450+ At the top decile, your resume needs to show systems you architected, cross-team migrations you led, and the engineers you've hired or mentored to senior.Top-paying states
| # | State | Avg. Annual |
|---|---|---|
| 1 | California | $170,910 |
| 2 | Washington | $166,910 |
| 3 | Virgin Islands | $162,820 |
| 4 | New York | $161,260 |
| 5 | Massachusetts | $150,520 |
| 6 | Maryland | $137,890 |
| 7 | District of Columbia | $136,040 |
| 8 | Oregon | $135,260 |
| 9 | Delaware | $135,160 |
| 10 | Colorado | $134,540 |
Highest-employment states
| # | State | Workers | Median |
|---|---|---|---|
| 1 | California | 292,630 | $170,910 |
| 2 | Texas | 151,460 | $130,500 |
| 3 | New York | 104,130 | $161,260 |
| 4 | New York | 91,470 | $166,910 |
| 5 | Virginia | 83,290 | $134,470 |
Resume Templates offers HR approved resume templates to help you create a professional resume in minutes. Choose from several template options and even pre-populate a resume from your profile.
Frequently Asked Questions
One page if you have less than five years of experience. Two pages if you're senior or staff with multiple systems to document.
Three pages reads as padding, even at the principal level. Trim early-career roles to two bullets each and cut the projects section once you have shipped production work to point to.
No, not for US or UK applications. Photos create bias-screening risk for the employer, and some ATS parsers strip them or fail to render the rest of the page cleanly.
In parts of continental Europe and Latin America, a professional headshot is conventional on a CV. Match the local norm for the country you're applying in.
Don't write "strong problem-solving skills" in a profile or skills block. Engineering managers discount that phrase on sight.
Show it in bullets instead. Name the problem, the constraint, the approach, and the result: "Cut nightly batch job from six hours to forty minutes by sharding the input set across worker pools and removing a redundant join."
Yes. List Cursor, GitHub Copilot, or Claude Code in your technical skills block, alongside your IDE and version control tools.
Engineering managers in 2026 expect AI-assisted workflows. What raises a flag is hiding it or, on the other side, writing slop like "leveraged AI to revolutionize development." Name the tool, name how you use it in code review or scaffolding, and move on.
For a software engineer, a tech template is the safest pick, because it keeps your stack, tools, and impact easy to scan. An ATS-friendly template is a solid alternative. Whichever you choose, keep the formatting clean and easy to parse: clear section headings, a standard font, and no graphics a parser can choke on.
